{ "count" : 54609, "data" : [ { "id" : "6a2ca57f74d8ee00a09b6d73", "title" : "Co-op, LLMs for Decision Making", "company" : "Lila Sciences", "industry" : "Technology", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for entry-level internships in biotech in Cambridge, MA, adjusted for company size and industry." }, "location" : "Alewife, Cambridge, MA", "locations" : [ "Alewife", "Cambridge", "MA" ], "timestamp" : "2026-06-15T07:49:22.030", "fingerprint" : "8aa6e30ddf9a8b2eadf3ae3e448b248c63be6cc14b122f26db266e7746d79865", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/lilasciences/jobs/4280808009", "externalId" : "4280808009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cambridge", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3656347,-71.1040018" } ], "locationText" : "Cambridge, Massachusetts, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "Master's", "technicalSkills" : "Python, PyTorch, JAX, Large language models", "professionalSkills" : [ "Decision making", "Experimental design", "ML tasks", "ML metrics" ], "hardSkillsList" : [ "Bayesian methods", "Bayesian optimization", "Probabilistic modeling", "LLM fine-tuning", "LLM benchmarking", "Active learning", "Design of experiments", "Multi-objective optimization", "Batch Bayesian optimization" ], "hardSkills" : [ { "name" : "Bayesian methods", "level" : "intermediate" }, { "name" : "Bayesian optimization", "level" : "intermediate" }, { "name" : "Probabilistic modeling", "level" : "intermediate" }, { "name" : "LLM fine-tuning", "level" : "intermediate" }, { "name" : "LLM benchmarking", "level" : "intermediate" }, { "name" : "Active learning", "level" : "intermediate" }, { "name" : "Design of experiments", "level" : "intermediate" }, { "name" : "Multi-objective optimization", "level" : "intermediate" }, { "name" : "Batch Bayesian optimization", "level" : "intermediate" } ], "majorSkills" : "LLMs, Bayesian optimization, Decision making, Experimental design", "majorSkillsList" : [ "LLMs", "Bayesian optimization", "Decision making", "Experimental design" ], "coreResponsibilities" : "Contribute to LLM-based decision-making methods, Prototype LLM reasoning approaches, Prototype Bayesian optimization approaches, Prototype active learning approaches, Prototype design of experiments approaches, Build evaluation frameworks, Benchmark LLM-augmented strategies, Integrate promising methods, Document findings, Share results", "teamCollaboration" : "ML teams; Physical science teams", "domainKnowledge" : "Physical sciences; Life sciences; Bayesian optimization; Active learning; Design of experiments; Materials science; Chemistry; Catalysis; Batteries; Electrochemistry", "domainList" : [ "physical-sciences", "life-sciences", "bayesian-optimization", "active-learning", "design-of-experiments", "materials-science", "chemistry", "catalysis", "batteries", "electrochemistry" ], "domainSpecificKnowledge" : [ "Physical sciences", "Life sciences", "Bayesian optimization", "Active learning", "Design of experiments", "Materials science", "Chemistry", "Catalysis", "Batteries", "Electrochemistry" ], "toolProficiency" : [ "PyTorch", "JAX" ], "communicationSkills" : "Clear communication; Presentations", "documentationSkills" : "Write-ups; Internal libraries", "innovationCreativity" : "Prototyping", "problemSolvingSkills" : "Analyze results", "qualificationsBasic" : "Master's or PhD, Python programming skills, Bayesian methods experience, Bayesian optimization experience, Probabilistic modeling experience, Large language models experience", "qualificationsPreferred" : "Active learning experience, Design of experiments experience, Multi-objective optimization experience, Batch Bayesian optimization experience, Agentic frameworks familiarity, Structured-output techniques familiarity, Physical science applications exposure, LLMs with optimization experience, LLMs with planning experience, LLMs with decision making experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "Your Impact at LILA Lila Sciences builds AI systems that accelerate discovery across the physical and life sciences. Within Physical Sciences AI, our decision making efforts develop the algorithms that drive experimental decision-making, closing the loop between models, experiments, and the next thing to try. We're now exploring how large language models can extend that capability: encoding domain priors, proposing candidates, reasoning over campaign history, and pairing naturally with established algorithms like Bayesian optimization for sample-efficient search. As an LLMs for Decision Making Co-Op, you will work at the intersection of LLMs and Bayesian optimization, prototyping and evaluating approaches that combine language model reasoning with principled experimental design. Your work will land in the decision making stack that powers experimental campaigns across Lila's AI Science Facilities. What You'll Be Building Contribute to LLM-based decision-making methods for experimental campaigns, focused on a well-defined sub-problem Prototype approaches that combine LLM reasoning with Bayesian optimization, active learning, or design of experiments, with mentor guidance Build evaluation frameworks that benchmark LLM-augmented strategies against established Bayesian baselines Help integrate promising methods into the decision making stack used across physical sciences campaigns Document findings and share results through write-ups, presentations, or contributions to internal libraries What You'll Need to Succeed Pursuing a Master's or PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics, Physics, Chemistry, Materials Science, or a related quantitative field Strong programming skills in Python and familiarity with ML frameworks such as PyTorch, JAX, or similar Foundation in Bayesian methods, Bayesian optimization, or probabilistic modeling Experience with large language models including fine-tuning, test-time compute, and benchmarking in applied settings Ability to turn open-ended scientific decision-making questions into concrete ML tasks with clear baselines and metrics Comfort iterating on experiments and analyzing results in research-style codebases Clear communication and interest in collaborating across ML and physical science teams Bonus Points For Experience with active learning, design of experiments, multi-objective optimization, or batch Bayesian optimization in scientific problem settings Familiarity with agentic frameworks and structured-output techniques for scientific reasoning Exposure to physical science applications such as materials, chemistry, catalysis, batteries, electrochemistry, or related domains Prior work pairing LLMs with optimization, planning, or decision making processes About LILA Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves. LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai. Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply. We’re All In Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy. A Note to Agencies Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.", "summaryDescription" : "Co-op, LLMs for Decision Making at Lila Sciences. Skills: LLMs, Bayesian optimization, Decision making, Experimental design. Contribute to LLM-based decision-making methods. Prototype LLM reasoning approaches", "postedDate" : "2026-06-13T21:48:06.886", "createdAt" : "2026-06-13T21:48:06.886", "lastUpdated" : "2026-06-15T07:49:22.030", "ingestTimestamp" : "2026-06-13T21:48:06.886", "mongoId" : "6a2ca57f74d8ee00a09b6d73", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Bayesian methods", "Bayesian optimization", "Probabilistic modeling", "LLM fine-tuning", "LLM benchmarking", "Active learning", "Design of experiments", "Multi-objective optimization", "Batch Bayesian optimization", "LLMs", "Decision making", "Experimental design", "ML tasks", "ML metrics", "Physical sciences", "Life sciences", "Materials science", "Chemistry", "Catalysis", "Batteries", "Electrochemistry", "PyTorch", "JAX" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30724df292fd229cffce74", "title" : "Reward Manager", "company" : "Ampol", "industry" : "Oil And Energy", "salary" : { "min" : 145000.0, "max" : 195000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Reward Manager in Alexandria, Australia, adjusted for the energy industry and contract employment type." }, "location" : "Alexandria, New South Wales, Australia", "locations" : [ "Alexandria", "New South Wales", "Australia" ], "timestamp" : "2026-06-16T10:30:40.539", "fingerprint" : "223d1f3011d13cc1fd9c7bfc7c22e500b27989ec23f091d0598a553215931fa9", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Ampol/6000000001155182-reward-manager", "externalId" : "6000000001155182", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Alexandria", "state" : "New South Wales", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-33.9091568,151.1921281" } ], "locationText" : "Alexandria, New South Wales, Australia", "employmentType" : "CONTRACT", "minimumEducation" : "Bachelor's", "experienceLevel" : "not-applicable", "professionalSkills" : [ "Job architecture alignment", "Role benchmarking", "Remuneration analysis", "Strategic reward initiatives", "Project management", "Prioritisation" ], "hardSkillsList" : [ "Performance management", "Remuneration frameworks", "Reward frameworks", "Data interpretation" ], "hardSkills" : [ { "name" : "Performance management", "level" : "intermediate" }, { "name" : "Remuneration frameworks", "level" : "intermediate" }, { "name" : "Reward frameworks", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" } ], "majorSkills" : "Reward management, Remuneration, Performance management", "majorSkillsList" : [ "Reward management", "Remuneration", "Performance management" ], "coreResponsibilities" : "Manage integration program into reward frameworks, Support transition to performance and remuneration frameworks, Complete legacy performance reviews, Deliver annual remuneration review activities, Lead fixed and variable reward processes, Provide market insights, Provide benchmarking, Provide remuneration analysis", "teamCollaboration" : "Stakeholder alignment; Integration priorities", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Broad-based reward; Executive reward; Equity programs", "domainList" : [ "broad-based-reward", "executive-reward", "equity-programs" ], "domainSpecificKnowledge" : [ "Broad-based reward", "Executive reward", "Equity programs" ], "continuousLearning" : "LinkedIn Learning; Tailored training solutions", "problemSolvingSkills" : "Analytical capability; Interpret data; Translate into insights", "qualificationsBasic" : "7+ years remuneration, reward, analytics, or HR consulting, Experience in broad-based reward, Proven experience managing salary reviews, Proven experience managing incentive programs, Proven experience managing job architecture frameworks, Experience working within complex organisations, Degree in Finance, Human Resources, or related discipline", "qualificationsPreferred" : "Experience with executive reward, Experience with equity programs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Ampol, we believe in the Power of Us - the extraordinary power of people to connect, act, and make a difference. As a leading energy company operating across Australia, New Zealand, Singapore and the United States, our work spans fuel supply, energy solutions, convenience retail, infrastructure, trading and shipping. Every role at Ampol plays a part in something bigger - powering progress for our customers, communities, and people. Your career here is yours to shape. We back our people with real opportunities, the tools to grow, and a culture that rewards ownership and initiative. Whether you’re deepening your expertise or taking on something new, we’ll support you to power a career that works for you. We’re building a workplace where everyone feels welcome, respected, and valued - because when people are free to be themselves, powerful things happen. About Group Corporate Our Group teams enable the broader business to perform - providing strategic, financial, legal, people and governance expertise. With roles across Australia, Singapore and the US, we’re critical partners to the business and help shape Ampol’s future. We work across borders, collaborate widely, and lead with purpose - always looking for ways to improve how we operate, support our people, and deliver results. About the role We are seeking an experienced Reward Manager to join Ampol on a 12-month max-term contract , based at our Alexandria HQ. Reporting to the Head of Performance and Reward, this role will act as a senior subject matter expert across remuneration, performance, and reward frameworks, ensuring they remain competitive, compliant, and aligned to business objectives. This position has been created to support a major integration program into Ampol’s reward framework, offering a unique opportunity to contribute to large-scale organisational change. Key responsibilities * Manage a major integration program into Ampol’s reward frameworks, including job architecture alignment and role benchmarking * Support the transition to Ampol’s performance and remuneration frameworks, including legacy performance review completion * Deliver annual remuneration review activities, * Lead fixed and variable reward processes, ensuring strong governance and stakeholder alignment * Provide market insights, benchmarking, and remuneration analysis to inform decision-making * Contribute to strategic reward initiatives and collaborate across the team on integration priorities Qualifications & Experience * Strong experience in broad-based reward across corporate or commercial portfolios * Proven experience managing salary reviews, incentive programs, and job architecture frameworks * 7+ years’ experience in remuneration, reward, analytics, or HR consulting * Experience working within complex organisations of similar scale * Strong analytical capability with the ability to interpret data and translate into insights * High attention to detail with strong project management and prioritisation skills * Ability to operate in fast-paced, ambiguous environments and manage competing priorities * Comfortable working autonomously with minimal supervision * Degree in Finance, Human Resources, or a related discipline * Experience with executive reward or equity programs is not essential but will be viewed favourably Benefits * Our total remuneration is competitive. * We are flexible. Many of our teams have embraced hybrid work, balancing time spent remote working, with time spent at an office to connect and work together where it adds value. * We value recognition. We have an internal recognition platform amplifying the achievements of those who do great work and demonstrate our capabilities and values. * Career development and learning opportunities including LinkedIn Learning and other tailored training solutions. Want to take your career to the next level? Apply today. ## Additional Information By clicking apply, you confirm you have read and agree to our [Ampol Recruitment Privacy Collection Statement](https://c.smartrecruiters.com/sr-company-attachments-prod-aws-dc9/68397163321cc03b6a5d240c/e4090605-2b96-49c6-9240-9213d28366f2?r=s3-ap-southeast-2). We’re an equal opportunity workplace. We not only embrace diversity and inclusion; we celebrate what makes you unique. We welcome applications from people of all ages, cultural backgrounds, and diverse sexualities and genders (including if you identify as transgender). We also highly encourage Aboriginal and Torres Strait Islander peoples to apply for roles with Ampol.", "summaryDescription" : "Reward Manager at Ampol. Skills: Reward management, Remuneration, Performance management. Manage integration program into reward frameworks. Support transition to performance and remuneration frameworks", "postedDate" : "2026-06-15T06:55:40.000", "createdAt" : "2026-06-16T01:33:14.598", "lastUpdated" : "2026-06-16T10:30:40.539", "ingestTimestamp" : "2026-06-16T01:33:14.598", "mongoId" : "6a30724df292fd229cffce74", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Performance management", "Remuneration frameworks", "Reward frameworks", "Data interpretation", "Reward management", "Remuneration", "Job architecture alignment", "Role benchmarking", "Remuneration analysis", "Strategic reward initiatives", "Project management", "Prioritisation", "Broad-based reward", "Executive reward", "Equity programs" ], "skillCount" : 15, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb21174d8ee00a09dfecf", "title" : "Staff Decision Scientist (Strategic Insights)", "industry" : "Analyst", "salary" : { "min" : 75000.0, "max" : 115000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Bulgaria, adjusted for senior Staff Decision Scientist role in the Technology industry." }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-16T04:46:02.663", "fingerprint" : "7618c45be561b6185c66dd8e6ed259cbd8c809e7512fd27a7d9bbb791961c0df", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/0e0395ba-6275-49fd-9d52-105cb6008bdc/apply", "externalId" : "0e0395ba-6275-49fd-9d52-105cb6008bdc", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R", "professionalSkills" : [ "Causal inference", "Statistical analysis", "Experimentation design", "Measurement frameworks", "Metric strategy", "Data modeling", "AI-native analytics" ], "hardSkillsList" : [ "Causal inference methodologies", "Difference-in-differences", "Instrumental variables", "Regression discontinuity", "Propensity score matching", "Experimentation platforms", "A/B test design", "Statistical modeling", "Data analysis" ], "softSkillsList" : [ "Leadership", "Storytelling" ], "hardSkills" : [ { "name" : "Causal inference methodologies", "level" : "intermediate" }, { "name" : "Difference-in-differences", "level" : "intermediate" }, { "name" : "Instrumental variables", "level" : "intermediate" }, { "name" : "Regression discontinuity", "level" : "intermediate" }, { "name" : "Propensity score matching", "level" : "intermediate" }, { "name" : "Experimentation platforms", "level" : "intermediate" }, { "name" : "A/B test design", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Storytelling" } ], "majorSkills" : "Causal inference, Experimentation, Strategic insights, Data storytelling", "majorSkillsList" : [ "Causal inference", "Experimentation", "Strategic insights", "Data storytelling" ], "coreResponsibilities" : "Serve as strategic analytics partner, Define critical questions, Drive critical questions, Lead causal analysis, Lead statistical analysis, Uncover drivers of user behavior, Uncover drivers of business behavior, Translate analytical findings, Influence leadership decisions, Influence cross-functional roadmaps, Design measurement frameworks, Design metric strategies, Own measurement frameworks, Own metric strategies, Partner with Product, Partner with Engineering, Partner with Marketing, Partner with Finance, Embed insights into decision-making, Prioritize high-leverage initiatives, Build instrumentation, Refine instrumentation, Build data models, Refine data models, Contribute to AI-native analytics workflows, Scale self-serve insights, Scale automation, Mentor senior team members", "teamCollaboration" : "Cross-functional collaboration; Partner closely with Product; Partner closely with Engineering; Partner closely with Marketing; Partner closely with Finance; Collaborate with data engineering teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Consumer tech environments; Platform tech environments; Subscription products; Freemium products; Multi-market consumer products", "domainList" : [ "consumer-tech-environments", "platform-tech-environments", "subscription-products", "freemium-products", "multi-market-consumer-products" ], "domainSpecificKnowledge" : [ "Consumer tech environments", "Platform tech environments", "Subscription products", "Freemium products", "Multi-market consumer products" ], "toolProficiency" : [ "Statsig", "Optimizely" ], "communicationSkills" : "Compelling narratives; Storytelling", "continuousLearning" : "Learning and development support; Career growth resources", "problemSolvingSkills" : "Analytical findings; Causal reasoning; Experimental design", "outcomesObjectives" : "Shape product decisions; Shape growth decisions; Shape investment decisions; Influence leadership decisions; Influence cross-functional roadmaps; Embed insights into decision-making; Prioritize high-leverage initiatives", "qualificationsBasic" : "8+ years of experience, Expertise in causal inference methodologies, SQL proficiency, Python or R proficiency, Advanced degree in a quantitative field or equivalent practical experience, Excellent communication and storytelling skills", "qualificationsPreferred" : "Experience with subscription, freemium, or multi-market consumer products, Familiarity with LTV modeling, Familiarity with incrementality testing, Familiarity with marketing mix modeling, Experience in AI-enabled analytics environments, Experience building modern data workflows, PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Serve as the primary strategic analytics partner for an operating group, defining and driving the most critical questions that shape product, growth, and investment decisions. Lead high-impact causal and statistical analysis, including experimentation, A/B testing, and advanced inference methods to uncover drivers of user and business behavior. Translate complex analytical findings into clear, compelling narratives that influence leadership decisions and cross-functional roadmaps. Design and own measurement frameworks and metric strategies that reflect real user behavior and business outcomes across a complex product ecosystem. Partner closely with Product, Engineering, Marketing, and Finance to embed insights into decision-making and prioritize high-leverage initiatives. Build and refine instrumentation and data models in collaboration with data engineering teams to ensure reliable and meaningful analytics foundations. Contribute to the evolution of AI-native analytics workflows, helping scale self-serve insights and automation across the organization. Mentor senior team members in causal reasoning, experimental design, and modern analytics practices. Requirements: 8+ years of experience in data science, decision science, or advanced analytics within consumer or platform tech environments. Strong expertise in causal inference methodologies such as difference-in-differences, instrumental variables, regression discontinuity, and propensity score matching. Proven track record of influencing product or business strategy through data-driven insights and cross-functional collaboration. Deep experience with experimentation platforms (e.g., Statsig, Optimizely, or similar) and end-to-end A/B test design and analysis. Strong proficiency in SQL and Python or R for statistical modeling and analysis. Advanced degree in a quantitative field (economics, statistics, operations research, quantitative social sciences) or equivalent practical experience. Excellent communication and storytelling skills, with the ability to drive alignment and action from complex analysis. Experience working with subscription, freemium, or multi-market consumer products is highly desirable. Familiarity with LTV modeling, incrementality testing, or marketing mix modeling is a plus. Experience in AI-enabled analytics environments or building modern data workflows is an advantage. Benefits: Competitive compensation package aligned with experience, including base salary and equity. Comprehensive health, dental, vision, life, and disability insurance coverage. Retirement savings plans with company contributions (401(k) or RRSP/DPSP depending on location). Flexible remote-first work environment with strong autonomy and outcome-focused culture. Generous paid time off, company-wide holidays, and scheduled annual shutdown periods. Mental health and employee assistance programs. Learning and development support, including tools, training, and career growth resources. Home office and equipment stipends to support remote productivity. Additional wellness, family, and lifestyle benefits including paid memberships and product perks. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Staff Decision Scientist (Strategic Insights). Skills: Causal inference, Experimentation, Strategic insights, Data storytelling. Serve as strategic analytics partner. 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Commitment to building an inclusive workplace and accessible products. Reasonable adjustments or accommodations for interviews are available.", "outcomesObjectives" : "Connect technical investment to outcomes like experimentation velocity, personalization, revenue impact, cost control, and better product decisions.", "qualificationsBasic" : "Platform leader at scale, product-minded and commercially sharp, confident with data-powered products, quality and ownership obsessed, cross-functional by nature, direct and pacey, strategic but sleeves-rolled-up.", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Skyscanner Everyone loves travelling, but planning is not without its challenges ✈️. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 160 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily \uD83D\uDCBB. Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all \uD83C\uDF0D. Our vision? To be the world's number one travel ally. (Ambitious? \uD83D\uDCAA Yes, but, hey, that's what got us here) About the role (Hybrid) Data has been at the heart of Skyscanner’s decision-making for over 20 years, and now our platform capability is stepping into an even bigger spotlight. You’ll own the foundations that help us turn data into trusted decisions, personalised product experiences, and measurable business impact at scale. You’ll keep today’s platform dependable while building what comes next: faster experimentation, production-ready ML and decisioning, stronger data quality, clearer ownership, and scalable delivery that does not need a small army to keep it moving. Think platform leadership, product judgement, commercial impact, and just enough travel chaos to keep things interesting. Inspired by the structure and tone of the example JDs. You can be based in Barcelona, Edinburgh or London where we adopt a hybrid working policy of working in the office twice a week. What you’ll be doing - Owning a trusted data platform: You’ll lead the reliability, usability, governance, and economic performance of the platform the whole data organisation depends on. - Making experimentation fly: You’ll ensure product teams can test, learn, and make decisions quickly, with clean assignment, accurate exposure capture, and confidence in the numbers. - Powering production-ready ML: You’ll help data and ML signals move from promising ideas to dependable traveller-facing experiences, without bespoke rework every time. - Enabling AI-assisted self-serve analytics: You’ll help create the foundations for teams to ask better questions, find trusted answers faster, and consume analytics through AI-native experiences grounded in governed metrics, clear definitions, and reusable knowledge. - Building for agentic data engineering: You’ll shape how AI and automation can support data engineering workflows, from discovery and documentation to pipeline development, testing, monitoring, incident response, and faster delivery of trusted data products. - Scaling data delivery: You’ll strengthen how data is moved, transformed, maintained, and served, so Skyscanner can support more use cases without scaling complexity at the same speed. - Making quality visible: You’ll turn data quality into a managed organisational capability, with clear ownership, measurable health, and faster issue detection and resolution. - Shaping the operating model: You’ll define the interfaces between data platform, AI platform, product engineering, analytics, data science, and business teams. - Turning platform work into impact: You’ll connect technical investment to outcomes like experimentation velocity, personalisation, revenue impact, cost control, and better product decisions. About you - Platform leader at scale: You’ve led business-critical platforms that many teams rely on, and you know how to make shared infrastructure trusted, adopted, and economically sustainable. - Product-minded and commercially sharp: You connect platform choices to company priorities, from revenue impact and product learning to operational risk and ROI. - Confident with data-powered products: You’ve enabled experimentation, ML, decisioning, or similar capabilities where data moves into real product experiences. - Quality and ownership obsessed: You know how to make standards, measurement, accountability, and support models stick without wrapping everyone in red tape. - Cross-functional by nature: You build alignment across product, engineering, AI, analytics, data science, and business teams, while keeping boundaries clear and useful. - Direct and pacey: You move with the speed the business needs, make decisions with incomplete information, and are honest when something is not working. - Strategic but sleeves-rolled-up: You can zoom out to shape the future state, then zoom in to unblock teams, sharpen priorities, and get the platform humming. What it's like here We are the real deal https://www.skyscanner.net/jobs/life— no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans ❤️, building things that help travellers explore the world a little easier \uD83E\uDDED. Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better — and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all https://www.skyscanner.net/jobs/esg ✨. Sound like your kind of adventure? \uD83D\uDE80 Apply now and help us shape the future of travel. We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident https://www.skyscanner.net/news/a-disability-confident-employer scheme, please let your recruiter know. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these. ", "summaryDescription" : "Director of Product - Data Platform and Decision Tooling at Skyscanner. Skills: Platform leadership, Product judgement, Commercial impact, Data platform, ML. 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"llmIndustryConfidence" : 0.98 }, { "id" : "6a307f95f292fd229c05b050", "title" : "Senior Reward Lead", "company" : "DeepMind", "industry" : "Technology", "salary" : { "min" : 220000.0, "max" : 330000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Reward Lead in Mountain View, United States, adjusted for seniority and technology industry." }, "location" : "[Mountain View, CA, USA, [Mountain View, CA, USA], Mountain View, null, CA, US]", "locations" : [ "[Mountain View, CA, USA, [Mountain View, CA, USA], Mountain View, null, CA, US]" ], "timestamp" : "2026-06-16T11:56:09.927", "fingerprint" : "b614a66ac8b7503ffc3101c1185df6e8c17cefe1011d59908802ee4901cca35b", "source" : "google", "language" : "en", "externalId" : "118752298145850054", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : 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"company" : "Amazon Development Centre Canada ULC", "industry" : "Data Science, Data Engineering, north america stores", "salary" : { "min" : 103300.0, "max" : 172600.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, CAN", "locations" : [ "Vancouver, British Columbia, CAN" ], "timestamp" : "2026-06-15T03:12:51.771", "fingerprint" : "be379a15adb0d165f4e7fbac44c1dc26058391c402487f29249070d19d908bff", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10438823/apply", "externalId" : "88a730ec-f4bb-4fe3-bfe8-4633080161a6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "AWS, Redshift, S3, Glue, EMR, Kinesis, Lambda, Python, Scala, Airflow", "professionalSkills" : [ "Data modeling", "Data warehousing", "ETL pipelines", "Infrastructure-as-code", "CI/CD" ], "hardSkillsList" : [ "Data processing systems", "Data pipeline performance", "Data reliability", "Cost-efficiency" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Data processing systems", "level" : "intermediate" }, { "name" : "Data pipeline performance", "level" : "intermediate" }, { "name" : "Data reliability", "level" : "intermediate" }, { "name" : "Cost-efficiency", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Data engineering, AWS services, Data pipelines", "majorSkillsList" : [ "Data engineering", "AWS services", "Data pipelines" ], "coreResponsibilities" : "Design data processing systems, Build data processing systems, Operate data processing systems, Leverage expertise in Python, Develop custom data processing frameworks, Develop automation tools, Collaborate with data scientists, Collaborate with analysts, Collaborate with product managers, Optimize data pipeline performance, Optimize data pipeline reliability, Optimize data pipeline cost-efficiency, Mentor junior engineers, Share knowledge of data engineering, Stay up-to-date with big data technologies, Stay up-to-date with architectural patterns, Drive adoption of innovative solutions", "teamCollaboration" : "With data scientists; With analysts; With product managers", "domainKnowledge" : "Promotions data; Promotional strategies; Selling Partners; Big data technologies; Architectural patterns", "domainList" : [ "promotions-data", "promotional-strategies", "selling-partners", "big-data-technologies", "architectural-patterns" ], "domainSpecificKnowledge" : [ "Promotions data", "Promotional strategies", "Selling Partners", "Big data technologies", "Architectural patterns" ], "toolProficiency" : [ "Airflow", "Redshift", "S3", "Glue", "EMR", "Kinesis", "Lambda" ], "continuousLearning" : "Stay up-to-date with technologies; Drive adoption of solutions", "innovationCreativity" : "Drive adoption of innovative solutions", "problemSolvingSkills" : "Translate business requirements", "qualificationsBasic" : "3+ years of data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines", "qualificationsPreferred" : "Experience with AWS technologies, Experience with non-relational databases, Usage of generative AI tools, Willingness to learn AI prompting, Ability to recognize AI opportunities", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about developing the next generation of data infrastructure capable of handling complex, mission-critical data pipelines and analytics workloads? Do you want to build next generation data engineering solutions that leverage the latest AWS technologies to process a broad range of business and customer data? Join our WW Promotions Data and Insights team, where you'll have the opportunity to continuously improve the systems that enable Amazon's promotional strategies across every major shopping event worldwide. Key job responsibilities 1. Design, build, and operate highly scalable, fault-tolerant data processing systems using modern AWS services like Redshift, S3, Glue, EMR, Kinesis, and Lambda, and orchestration systems using Airflow 2. Leverage your expertise in Python, Scala, or other modern programming languages to develop custom data processing frameworks and automation tools 3. Collaborate closely with data scientists, analysts, and product managers to understand business requirements and translate them into technical solutions 4. Continuously optimize data pipeline performance, reliability, and cost-efficiency using best practices in CI/CD and infrastructure-as-code 5. Mentor junior engineers and share your knowledge of data engineering best practices 6. Stay up-to-date with the latest big data technologies and architectural patterns, and drive the adoption of innovative solutions About the team Promotions reinforce a positive perception of Amazon’s price leadership with shoppers by complementing our everyday great prices with time-bound discounts on a broad selection of high-quality products. For Selling Partners (SPs), promotions create incremental demand for their products and increase their share of voice, clear inventory, and drive traffic to new selection. WW Promotions owns the sourcing and execution of promotions at Amazon and we are their data & analytics team. We serve as the central stewards of promotions data, delivering trusted and governed datasets that power product development, machine learning models, and business analytics across the organization. Basic Qualifications: - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines Preferred Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) - Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices. - Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, BC, Vancouver - 103,300.00 - 172,600.00 CAD annually", "summaryDescription" : "Data Engineer, WW Promotions Data and Insights at Amazon Development Centre Canada ULC. Skills: Data engineering, AWS services, Data pipelines. Design data processing systems. Build data processing systems", "postedDate" : "2026-06-13T09:12:42.868", "createdAt" : "2026-06-13T09:12:42.868", "lastUpdated" : "2026-06-15T03:12:51.771", "ingestTimestamp" : "2026-06-13T09:12:42.868", "mongoId" : "6a2176c774d8ee00a0c1adbc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10438823/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data processing systems", "Data pipeline performance", "Data reliability", "Cost-efficiency", "Mentoring", "Data engineering", "AWS services", "Data pipelines", "Data modeling", "Data warehousing", "ETL pipelines", "Infrastructure-as-code", "CI/CD", "Promotions data", "Promotional strategies", "Selling Partners", "Big data technologies", "Architectural patterns", "Airflow", "Redshift", "S3", "Glue", "EMR", "Kinesis", "Lambda" ], "skillCount" : 25, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a306724f292fd229cfb9ac9", "title" : "Evidence and Insights Manager", "company" : "Girl Effect", "industry" : "Media", "salary" : { "min" : 3800000.0, "max" : 6500000.0, "currency" : "KES", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Evidence and Insights Manager in Kenya, adjusted for the non-profit industry and contract employment type." }, "location" : "Kenya", "locations" : [ "Kenya" ], "timestamp" : "2026-06-16T06:58:42.744", "fingerprint" : "fe282112e60fdd0b35eb9991d7b1a64b9dc9a306eafa3ea496f05e08adbd32f2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/girleffect/jobs/8591795002", "externalId" : "8591795002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Kenya", "continent" : "af", "workMode" : "onsite" } ], "locationText" : "Kenya", "employmentType" : "CONTRACT", "experienceMinYears" : 4, "experienceLevel" : "Manager", "professionalSkills" : [ "Applied research", "Monitoring and evaluation", "Research design", "Fieldwork", "Data analysis", "Reporting", "Commissioning research", "Managing research", "Strategic planning", "Knowledge management", "Project management" ], "hardSkillsList" : [ "Qualitative analysis", "Quantitative analysis", "Digital data analysis", "Research methods", "Data analysis", "Reporting" ], "softSkillsList" : [ "Leadership", "Negotiation", "Conflict resolution", "Public speaking", "Critical thinking", "Mentoring" ], "hardSkills" : [ { "name" : "Qualitative analysis", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Digital data analysis", "level" : "intermediate" }, { "name" : "Research methods", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Negotiation" }, { "name" : "Conflict resolution" }, { "name" : "Public speaking" }, { "name" : "Critical thinking" }, { "name" : "Mentoring" } ], "majorSkills" : "Applied research, Monitoring and evaluation, Data analysis, Reporting", "majorSkillsList" : [ "Applied research", "Monitoring and evaluation", "Data analysis", "Reporting" ], "coreResponsibilities" : "Write requests for proposals, Write Terms of Reference, Review research tools, Advise on sampling strategies, Advise on methodologies, Review analysis, Review reporting, Support quality assurance during fieldwork, Conduct on-site visits, Provide technical expertise to research projects, Provide technical expertise to M&E projects, Advise on fit-for-purpose designs, Suggest qualitative methodologies, Suggest quantitative methodologies, Suggest other research approaches, Ensure ethical standards are upheld, Ensure safeguarding standards are upheld, Ensure field implementation is conducted to high standards, Train field research partners, Oversee field research partners, Ensure research outputs are accessible, Ensure research outputs are understandable, Ensure research outputs are useful, Utilise research outputs, Develop research partnerships, Maximise opportunities for cost-sharing, Maximise opportunities for joint learning, Deliver other duties relevant to position", "teamCollaboration" : "Work across functions; Work across countries; Work alongside global MERL team", "projectManagementSkills" : [ "Project management", "Research processes", "Research timelines" ], "domainKnowledge" : "Gender; Sexual reproductive health; Mental health; Economic empowerment", "domainList" : [ "gender", "sexual-reproductive-health", "mental-health", "economic-empowerment" ], "domainSpecificKnowledge" : [ "Gender", "Sexual reproductive health", "Mental health", "Economic empowerment" ], "communicationSkills" : "Knowledge management communication; Engaging reports; Research outputs communication", "documentationSkills" : "Reporting; Research outputs", "innovationCreativity" : "Creative mindset", "problemSolvingSkills" : "Uncovering new insights; Translating insights", "specialRequirements" : "12 month contract basis", "qualificationsBasic" : "Minimum 5 years applied research, Minimum 4 years M&E experience, Postgraduate degree in relevant field, SQL proficiency, Qualitative and quantitative research design, Fieldwork experience, Data analysis experience, Reporting experience, Commissioning research agencies, Managing research agencies, Qualitative data analysis, Quantitative data analysis, Digital adaptations data analysis, Uncovering new insights, Translating insights into reports, Strategic planning experience, Knowledge management experience, Communication skills, Organisation skills, Project management skills, Cultural awareness, Sensitivity to cultures, Creative mindset, Inquisitive mindset, Fluent in English, High level English writing, High level English speaking", "qualificationsPreferred" : "Experience with girls on sensitive issues, Experience with participatory engagement, Technical knowledge in thematic areas, Background evaluating programs for women/girls, Hands-on applied research experience, Experience training others in research methods, Experience mentoring others in research methods, Experience training others in data analysis, Experience mentoring others in data analysis, Experience training others in reporting, Experience mentoring others in reporting", "remoteFriendly" : true, "rawDescription" : "Who we are Girl Effect is an international non-profit that builds media that girls want, trust and need. From chat-bots to chat-shows and TV dramas to tech, our content is reaching millions of girls in Africa and Asia to make choices and changes in their lives. Igniting their confidence to act differently at a time that can define their future. We create safe spaces for girls, sharing facts, and answering questions about health, nutrition, education, relationships and so much more. And we use innovative technology so we can reach girls at scale. We arm girls with the skills to negotiate and redefine what they are told is possible, so every girl can choose to be in control of her body, her health, her learning and livelihood. When a girl unlocks her power to make different choices that change her life, it inspires others to do so too. She starts a ripple effect that impacts her family, her community, her country. That’s the Girl Effect. Role Context The Evidence write requests for proposals and Terms of Reference for studies, review research tools, advise on sampling strategies and methodologies, and review analysis and reporting. Support with quality assurance during fieldwork, with on-site visits' or something, as I think this will be a key aspect of the role. Provide technical expertise to research, monitoring, and evaluation projects, working alongside our global MERL team as required. You will advise on fit-for purpose designs suggesting qualitative and/or quantitative methodologies or other approaches (e. g. using digital methods or secondary data sources) as appropriate. Ensure that Girl Effect’s ethical and safeguarding standards are upheld, and that field implementation is conducted to the highest standards, through training and oversight of field research partners. Ensure that research outputs are accessible, readily understandable, and useful, ensuring they are utilised as much as possible. Develop research partnerships with local and international research organisations to maximise opportunities for cost-sharing and joint learning. This list should not be considered exhaustive; you will be expected to deliver other duties relevant and appropriate to this position. Who You Are (Experience Required) Substantial experience (minimum 5 years) in applied research and/or monitoring and evaluation in Kenya or a postgraduate degree in a relevant field and at least 4 years of work experience. Passionate about working with adolescent girls and young women and truly supporting them thrive in challenging environments. Demonstrated experience in implementation of high quality qualitative and quantitative research design, fieldwork, data analysis and reporting. Experience of commissioning and managing research agencies throughout projects ensuring deliverables are completed on time and meeting the organisational needs. Strong qualitative and quantitative data analysis skills; proficient with digital adaptations. Demonstrated experience in uncovering new insights and translating these into exciting, engaging reports and research outputs. Experience in strategic planning and knowledge management Strong communication skills; able to work effectively across functions and countries. Excellent organisation and project management skills; able to develop and drive research processes and timelines. Strong cultural awareness and sensitivity about the cultures within which Girl Effect operates. Creative and inquisitive mindset with strong communication and organisational skills. Commitment to realising the potential of girls and to the vision and values of Girl Effect. Desirable Expertise working with girls on sensitive issues in Kenya Experience with participatory engagement approaches Technical/theoretical knowledge in one or more of Girl Effect’s thematic areas (e. g. gender, sexual and reproductive health, mental health, or economic empowerment) Background in evaluating programmes that relate to women and girls Hands-on experience of applied research in emerging markets or developing contexts. Experience in training and mentoring others in research methods, data analysis and reporting. Fluent in English, with a high level in writing as well as speaking What Else You Should Know As we continue to scale and grow - we are hugely ambitious for our future and we are looking for people who are driven to change the world for girls. Our teams are a diverse mix across sectors (non-profit and commercial) and specialisms (from Creative through to Gender and Insight). You’ll learn and grow in an environment that will challenge you to think and work with a fresh perspective. In turn, you can expect to work somewhere where you will be stretched and developed in your role, a place where you can build your career and work with talented, engaged people committed to our cause. Girl Effect is committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, or gender identity or expression. We are proud to be an equal opportunity workplace. We are committed to building an organisation that is increasingly representative of the communities that we serve. To this end, due regard will be paid to recruiting candidates with diverse professional, academic and cultural backgrounds. Furthermore, Girl Effect is committed to safeguarding and promoting the welfare and rights of all individuals, particularly the adolescent girls and young women we support. We have zero-tolerance for safeguarding violations, including sexual exploitation, abuse, and harassment (SEAH). All employees are required to adhere to our safeguarding policies and successfully complete relevant background checks, including reference and criminal record checks where applicable. This role is subject to a standard background disclosure. This role is being recruited for on a 12 month contract basis. Only applications submitted via https://job-boards.greenhouse.io/girleffect will be reviewed. Application closing date –29th June 2026", "summaryDescription" : "Evidence and Insights Manager at Girl Effect. Skills: Applied research, Monitoring and evaluation, Data analysis, Reporting. Write requests for proposals. Write Terms of Reference", "postedDate" : "2026-06-15T23:29:34.800", "createdAt" : "2026-06-15T23:29:34.800", "lastUpdated" : "2026-06-16T06:58:42.744", "ingestTimestamp" : "2026-06-15T23:29:34.800", "mongoId" : "6a306724f292fd229cfb9ac9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Qualitative analysis", "Quantitative analysis", "Digital data analysis", "Research methods", "Data analysis", "Reporting", "Leadership", "Negotiation", "Conflict resolution", "Public speaking", "Critical thinking", "Mentoring", "Applied research", "Monitoring and evaluation", "Research design", "Fieldwork", "Commissioning research", "Managing research", "Strategic planning", "Knowledge management", "Project management", "Research processes", "Research timelines", "Gender", "Sexual reproductive health", "Mental health", "Economic empowerment" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Non-Profit", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305b67f292fd229cf5d4fc", "title" : "Director, Insights and Analytics", "company" : "Dyne Therapeutics", "industry" : "Biotech", "salary" : { "min" : 190000.0, "max" : 240000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Waltham, Massachusetts, United States", "locations" : [ "Waltham", "Massachusetts", "United States" ], "timestamp" : "2026-06-16T08:31:17.425", "fingerprint" : "59f22a5765c588850e3ab8950630ad9bde5cc8895614c342afcde66b49a10ae1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dynetherapeutics/jobs/6020363004", "externalId" : "6020363004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Waltham", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3762385,-71.2355644" } ], "locationText" : "Waltham, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Python, R, SQL, JMP, Spotfire", "professionalSkills" : [ "Statistical analysis", "Data analysis", "Data visualization" ], "hardSkillsList" : [ "Statistical modeling", "Experimental design" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" } ], "majorSkills" : "Statistical modeling, Data analysis", "majorSkillsList" : [ "Statistical modeling", "Data analysis" ], "coreResponsibilities" : "Analyze experimental data, Develop statistical models, Design experiments, Generate reports, Communicate findings", "teamCollaboration" : "Research and Development teams; Cross-functional teams", "domainKnowledge" : "Biotechnology; Drug discovery", "domainList" : [ "biotechnology", "drug-discovery" ], "domainSpecificKnowledge" : [ "Biotechnology", "Drug discovery" ], "toolProficiency" : [ "JMP", "Spotfire", "R", "Python", "SQL" ], "communicationSkills" : "Written reports; Oral presentations", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Data interpretation; Troubleshooting", "qualificationsBasic" : "5+ years experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree preferred, PhD preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Company Overview: Dyne Therapeutics is focused on delivering functional improvement for people living with genetically driven neuromuscular diseases. We are developing therapeutics that target muscle and the central nervous system (CNS) to address the root cause of disease. The company is advancing clinical programs for Duchenne muscular dystrophy (DMD) and myotonic dystrophy type 1 (DM1) as well as a preclinical programs for facioscapulohumeral muscular dystrophy (FSHD) and Pompe disease. At Dyne, we are on a mission to deliver functional improvement for individuals, families and communities. Learn more at https://www.dyne-tx.com/, and follow us on X, LinkedIn and Facebook. Role Summary: The Director, Insights and Analytics leads the generation of actionable market, customer, and data-driven insights to inform commercial strategy and execution across Dyne’s portfolio of assets in clinical development for rare neuromuscular diseases. This role integrates forecasting, market research, competitive intelligence, and advanced analytics to shape strategic decisions, optimize go-to-market planning, and enable organizational alignment. The Director serves as a strategic partner across cross-functional teams, translating complex data into clear, impactful recommendations that drive business outcomes. This role is based in Waltham, MA. Primary Responsibilities Include: Forecasting and Strategic Planning Lead development of long-range global forecasting models and scenario planning tools to project product uptake, access, and revenue Evaluate and enhance forecasting methodologies to improve accuracy, scalability, and agility Synthesize inputs across multiple data sources (e.g., market research, competitive intelligence, analogs) to validate assumptions and inform projections Support long-range planning, lifecycle management, and commercial assessments for pipeline and business development opportunities Partner with commercial operations and finance to guide operational forecasting and annual planning processes (AOP/budgeting) Serve as a strategic advisor to cross-functional stakeholders across Brand, Market Access, Finance, Supply, Trade, and IT Market Research and Insights Generation Design and execute global insights generation plans leveraging primary and secondary market research Manage end-to-end market research processes, including RFP development, vendor selection, and project execution Translate research findings into clear, actionable insights and strategic recommendations for senior leadership Ensure all research activities comply with data governance, privacy standards, and relevant external engagement policies Build strong partnerships with internal stakeholders to align insights with business priorities Competitive Intelligence Lead competitive intelligence strategy and analysis for key therapeutic areas, assessing market dynamics and competitive positioning Oversee execution of competitive intelligence activities, including monitoring, reporting, ad hoc analyses, and congress intelligence Deliver timely, actionable insights to inform go-to-market strategies, product development, and positioning Develop executive-ready materials and briefings to support leadership decision-making Represent the organization as the primary point of contact for competitive intelligence and at key congresses Commercial Data Analytics and Capability Building Expand and optimize the organization’s data ecosystem, including evaluation and integration of new data sources and tools Lead development of dashboards, KPIs, and performance tracking frameworks to enable data-driven decision-making Apply advanced analytics, statistical modeling, and trend analysis to generate insights from internal and external data Translate complex data into compelling narratives and recommendations that influence business action Educate stakeholders on data tools, dashboards, and data literacy to drive adoption and impact Ensure adherence to data governance, compliance, and privacy standards Education and Skills Requirements: Bachelor’s degree required; advanced degree (MBA, PhD, PharmD) preferred 10+ years of experience in forecasting, market research, competitive intelligence, and/or data analytics within biotech or pharmaceutical environments Experience supporting product launches and/or rare disease markets preferred Strong understanding of regulatory and compliance considerations related to market research and data usage in pharma/biotech Demonstrated ability to synthesize complex data and communicate insights clearly to diverse audiences, including senior leadership Exceptional data storytelling skills with expertise in translating insights into impactful presentations and recommendations Proven ability to lead through influence in a cross-functional, matrixed environment Experience managing external vendors, including negotiation, scope management, and performance oversight Strong business acumen with the ability to connect insights to strategic and operational decisions Ability to operate effectively in a fast-paced, dynamic environment while managing multiple priorities Demonstrates high standards of professionalism, integrity, and accountability #LI-Onsite MA Pay Range $190,000—$240,000 USD The pay range reflects the base pay range Dyne reasonably expects to pay for this role at the time of posting. Individual compensation depends on factors such as education, experience, job-related knowledge, and demonstrated skills. The statements contained herein reflect general details as necessary to describe the principles functions for this job, the level of knowledge and skill typically required, and the scope of responsibility, but should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences or relief, to equalize peak work periods or otherwise balance workload. Dyne Therapeutics is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.", "summaryDescription" : "Director, Insights and Analytics at Dyne Therapeutics. Skills: Statistical modeling, Data analysis. Analyze experimental data. Develop statistical models", "postedDate" : "2026-06-15T23:23:00.223", "createdAt" : "2026-06-15T23:23:00.223", "lastUpdated" : "2026-06-16T08:31:17.425", "ingestTimestamp" : "2026-06-15T23:23:00.223", "mongoId" : "6a305b67f292fd229cf5d4fc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 190000, "salaryAnnualMax" : 240000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical modeling", "Experimental design", "Data analysis", "Statistical analysis", "Data visualization", "Biotechnology", "Drug discovery", "JMP", "Spotfire", "R", "Python", "SQL" ], "skillCount" : 12, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cafed74d8ee00a09d83d0", "title" : "Director of Product - Data Platform and Decision Tooling", "company" : "Skyscanner", "industry" : "Product", "salary" : { "min" : 140000.0, "max" : 210000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Product in London, UK, adjusted for the technology industry and company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-15T08:00:16.022", "fingerprint" : "631e7c202e064d4afe1cf26218eca91980ca6f7ea5bbd9e6d2a86d8ba1e5154e", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/skyscanner/aa141487-e9b4-43cc-8667-1eab29c0404d/application", "externalId" : "aa141487-e9b4-43cc-8667-1eab29c0404d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "ML, AI", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Platform leadership", "Product judgement", "Commercial impact", "Data quality", "Data governance", "Data delivery", "MLOps", "AI-assisted analytics", "Agentic data engineering", "Data engineering workflows", "Data pipelines", "Data products", "Experimentation velocity", "Personalisation", "Revenue impact", "Cost control" ], "hardSkillsList" : [ "Data modeling", "Data architecture", "Machine learning", "Data warehousing", "Data pipelines", "Data quality management", "Experimentation design", "ML model deployment", "Analytics enablement", "Data engineering automation", "Scalable data delivery", "Metrics definition", "Operating model definition" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data architecture", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Data quality management", "level" : "intermediate" }, { "name" : "Experimentation design", "level" : "intermediate" }, { "name" : "ML model deployment", "level" : "intermediate" }, { "name" : "Analytics enablement", "level" : "intermediate" }, { "name" : "Data engineering automation", "level" : "intermediate" }, { "name" : "Scalable data delivery", "level" : "intermediate" }, { "name" : "Metrics definition", "level" : "intermediate" }, { "name" : "Operating model definition", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Platform, Decision Tooling, Product Management", "majorSkillsList" : [ "Data Platform", "Decision Tooling", "Product Management" ], "coreResponsibilities" : "Own a trusted data platform, Lead platform reliability, Lead platform usability, Lead platform governance, Lead platform economic performance, Ensure product teams can test, Ensure product teams can learn, Ensure product teams make decisions quickly, Power production-ready ML, Enable AI-assisted self-serve analytics, Build for agentic data engineering, Shape AI and automation for data engineering, Scale data delivery, Strengthen data movement, Strengthen data transformation, Strengthen data maintenance, Strengthen data serving, Make quality visible, Turn data quality into capability, Shape the operating model, Define interfaces between teams, Connect technical investment to outcomes, Drive experimentation velocity, Drive personalisation, Drive revenue impact, Drive cost control, Drive better product decisions", "teamCollaboration" : "Cross-functional teams; Product engineering teams; Analytics teams; Data science teams; Business teams; AI platform teams; Data platform teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Data platform; Decision tooling; Machine learning; AI; Data quality; Data governance; Data engineering; Travel industry", "domainList" : [ "data-platform", "decision-tooling", "machine-learning", "ai", "data-quality", "data-governance", "data-engineering", "travel-industry" ], "domainSpecificKnowledge" : [ "Data platform", "Decision tooling", "Machine learning", "AI", "Data quality", "Data governance", "Data engineering", "Travel industry" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Faster experimentation; Production-ready ML; Stronger data quality; Scalable delivery; Experimentation velocity; Personalisation; Revenue impact; Cost control; Better product decisions", "qualificationsBasic" : "Platform leader at scale, Product-minded and commercially sharp, Confident with data-powered products, Quality and ownership obsessed, Cross-functional by nature, Direct and pacey, Strategic but sleeves-rolled-up", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Skyscanner Everyone loves travelling, but planning is not without its challenges ✈️. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 160 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily \uD83D\uDCBB. Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all \uD83C\uDF0D. Our vision? To be the world's number one travel ally. (Ambitious? \uD83D\uDCAA Yes, but, hey, that's what got us here) About the role (Hybrid) Data has been at the heart of Skyscanner’s decision-making for over 20 years, and now our platform capability is stepping into an even bigger spotlight. You’ll own the foundations that help us turn data into trusted decisions, personalised product experiences, and measurable business impact at scale. You’ll keep today’s platform dependable while building what comes next: faster experimentation, production-ready ML and decisioning, stronger data quality, clearer ownership, and scalable delivery that does not need a small army to keep it moving. Think platform leadership, product judgement, commercial impact, and just enough travel chaos to keep things interesting. Inspired by the structure and tone of the example JDs. You can be based in Barcelona, Edinburgh or London where we adopt a hybrid working policy of working in the office twice a week. What you’ll be doing - Owning a trusted data platform: You’ll lead the reliability, usability, governance, and economic performance of the platform the whole data organisation depends on. - Making experimentation fly: You’ll ensure product teams can test, learn, and make decisions quickly, with clean assignment, accurate exposure capture, and confidence in the numbers. - Powering production-ready ML: You’ll help data and ML signals move from promising ideas to dependable traveller-facing experiences, without bespoke rework every time. - Enabling AI-assisted self-serve analytics: You’ll help create the foundations for teams to ask better questions, find trusted answers faster, and consume analytics through AI-native experiences grounded in governed metrics, clear definitions, and reusable knowledge. - Building for agentic data engineering: You’ll shape how AI and automation can support data engineering workflows, from discovery and documentation to pipeline development, testing, monitoring, incident response, and faster delivery of trusted data products. - Scaling data delivery: You’ll strengthen how data is moved, transformed, maintained, and served, so Skyscanner can support more use cases without scaling complexity at the same speed. - Making quality visible: You’ll turn data quality into a managed organisational capability, with clear ownership, measurable health, and faster issue detection and resolution. - Shaping the operating model: You’ll define the interfaces between data platform, AI platform, product engineering, analytics, data science, and business teams. - Turning platform work into impact: You’ll connect technical investment to outcomes like experimentation velocity, personalisation, revenue impact, cost control, and better product decisions. About you - Platform leader at scale: You’ve led business-critical platforms that many teams rely on, and you know how to make shared infrastructure trusted, adopted, and economically sustainable. - Product-minded and commercially sharp: You connect platform choices to company priorities, from revenue impact and product learning to operational risk and ROI. - Confident with data-powered products: You’ve enabled experimentation, ML, decisioning, or similar capabilities where data moves into real product experiences. - Quality and ownership obsessed: You know how to make standards, measurement, accountability, and support models stick without wrapping everyone in red tape. - Cross-functional by nature: You build alignment across product, engineering, AI, analytics, data science, and business teams, while keeping boundaries clear and useful. - Direct and pacey: You move with the speed the business needs, make decisions with incomplete information, and are honest when something is not working. - Strategic but sleeves-rolled-up: You can zoom out to shape the future state, then zoom in to unblock teams, sharpen priorities, and get the platform humming. What it's like here We are the real deal https://www.skyscanner.net/jobs/life— no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans ❤️, building things that help travellers explore the world a little easier \uD83E\uDDED. Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better — and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all https://www.skyscanner.net/jobs/esg ✨. Sound like your kind of adventure? \uD83D\uDE80 Apply now and help us shape the future of travel. We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident https://www.skyscanner.net/news/a-disability-confident-employer scheme, please let your recruiter know. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these. ", "summaryDescription" : "Director of Product - Data Platform and Decision Tooling at Skyscanner. Skills: Data Platform, Decision Tooling, Product Management. Own a trusted data platform. Lead platform reliability", "createdAt" : "2026-06-14T03:15:33.760", "lastUpdated" : "2026-06-15T08:00:16.022", "ingestTimestamp" : "2026-06-14T03:15:33.760", "mongoId" : "6a2cafed74d8ee00a09d83d0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data modeling", "Data architecture", "Machine learning", "Data warehousing", "Data pipelines", "Data quality management", "Experimentation design", "ML model deployment", "Analytics enablement", "Data engineering automation", "Scalable data delivery", "Metrics definition", "Operating model definition", "Leadership", "Data Platform", "Decision Tooling", "Product Management", "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Platform leadership", "Product judgement", "Commercial impact", "Data quality", "Data governance", "Data delivery", "MLOps", "AI-assisted analytics", "Agentic data engineering", "Data engineering workflows", "Data products", "Experimentation velocity", "Personalisation", "Revenue impact", "Cost control", "Roadmap planning", "Data platform", "Decision tooling", "AI", "Data engineering", "Travel industry" ], "skillCount" : 42, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a84a674d8ee00a06797d5", "title" : "Staff Decision Scientist (Strategic Insights)", "company" : "Life360", "industry" : "Technology", "salary" : { "min" : 225000.0, "max" : 325000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Staff Decision Scientist in Canada, adjusted for executive seniority and the technology industry." }, "location" : "Remote, Canada", "locations" : [ "Remote", "Canada", "Remote", "USA" ], "timestamp" : "2026-06-14T21:54:46.297", "fingerprint" : "955004463392627c077126e94b73589443a907c5a07c9b5057838027ce0305a2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/life360/jobs/8586894002", "externalId" : "8586894002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Canada", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, dbt, Statsig, Optimizely", "professionalSkills" : [ "Decision science", "Strategic insights", "Causal inference", "Experimentation platforms", "Analytics engineering", "Growth analytics", "Retention analytics", "Lifecycle analytics", "LTV modeling", "Incrementality testing", "Marketing mix modeling" ], "hardSkillsList" : [ "Statistical analysis", "Causal inference methods", "Experimental rigor", "Event instrumentation", "Metric definition", "Measurement frameworks" ], "softSkillsList" : [ "Problem-solving", "Ownership", "Curiosity", "Initiative", "Influence" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Causal inference methods", "level" : "intermediate" }, { "name" : "Experimental rigor", "level" : "intermediate" }, { "name" : "Event instrumentation", "level" : "intermediate" }, { "name" : "Metric definition", "level" : "intermediate" }, { "name" : "Measurement frameworks", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" }, { "name" : "Ownership" }, { "name" : "Curiosity" }, { "name" : "Initiative" }, { "name" : "Influence" } ], "majorSkills" : "Decision Science, Causal Inference, Experimentation, Strategic Insights", "majorSkillsList" : [ "Decision Science", "Causal Inference", "Experimentation", "Strategic Insights" ], "coreResponsibilities" : "Own analytical narrative for Operating Group, Be strategic thought partner, Understand roadmaps and users, Set agenda for highest-leverage questions, Tell stories that move teams to act, Present to leadership and working teams, Establish causality with tools, Work with engineering to implement instrumentation, Work with Product to translate insights, Define metrics strategies, Develop and implement measurement frameworks, Build explanations on top of measurement, Ground analysis in user reality, Shape AI-native analytics stack, Lead evaluation and adoption of new tools, Enable self-serve across OG, Mentor senior ICs on causal thinking, Mentor senior ICs on experimental rigor, Mentor senior ICs on AI workflows, Raise the ceiling of the craft", "teamCollaboration" : "Cross-functional teams; Leadership presentations; Working teams presentations", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Consumer tech; Subscription models; Freemium models; International analytics; Growth analytics; Retention analytics; Lifecycle analytics; LTV modeling; Incrementality testing; Marketing mix modeling", "domainList" : [ "consumer-tech", "subscription-models", "freemium-models", "international-analytics", "growth-analytics", "retention-analytics", "lifecycle-analytics", "ltv-modeling", "incrementality-testing", "marketing-mix-modeling" ], "domainSpecificKnowledge" : [ "Consumer tech", "Subscription models", "Freemium models", "International analytics", "Growth analytics", "Retention analytics", "Lifecycle analytics", "LTV modeling", "Incrementality testing", "Marketing mix modeling" ], "toolProficiency" : [ "Statsig", "Optimizely", "dbt" ], "communicationSkills" : "Executive presentations; Clear narratives", "continuousLearning" : "Learning & Development programs", "innovationCreativity" : "AI-native company", "problemSolvingSkills" : "Structure ambiguous problems; Data-driven decision making", "outcomesObjectives" : "Deliver recommendation and track impact; Accountable for decisions changed", "qualificationsBasic" : "8+ years analytics/data science/decision science, Advanced degree quantitative field or equivalent, Demonstrated causal inference methods experience, Track record influencing product/business strategy, Proficiency in SQL, Proficiency in Python/R", "qualificationsPreferred" : "Experience with subscription/freemium models, Familiarity with international analytics, Experience building dbt models, Experience with analytics engineering workflows, Background in growth/retention/lifecycle analytics, Experience with LTV modeling, Experience with incrementality testing, Experience with marketing mix modeling, PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Life360 Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 97.8 million monthly active users (MAU), as of March 31, 2026, across more than 180 countries. Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family). Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com. Life360 is a Remote First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US and Canada) regardless of any specified location above. We are AI Native We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process. Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy. About the Team No other team at Life360 touches every product decision, every experiment, and every revenue lever. Data therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity. What You'll Do Own the analytical narrative for your Operating Group (OG). Be the strategic thought partner across cross-functional teams (PMs, engineers, marketing, finance). You understand the roadmaps and users, and you set the agenda for the highest-leverage questions the OG should be asking. Tell stories that move teams to act. You'll present to leadership and working teams with clear narratives and a point of view. A great insight that nobody acts on is a failed insight. Establish causality with the right tools for the situation, including A/B testing, analytics, and causal inference. You work with engineering to implement event instrumentation and with Product to translate insights into action. Define metrics strategies that measure what matters. Work backward from how users experience the product to develop and implement the measurement frameworks for your OG, in a complex ecosystem with multi-user engagement and many ways to interact with the product. Build explanations on top of measurement, always grounding analysis in the reality that users are people with motivations and context the data alone won't tell you. Shape the AI-native analytics stack. Lead evaluation and adoption of new tools, agent workflows, and practices that enable self-serve across the OG and move the team from reactive to proactive to autonomous. Mentor senior ICs on causal thinking, experimental rigor, and AI-leveraged workflows. Raise the ceiling of the craft. What We're Looking For Core Expectations Problem-solving mindset: You structure ambiguous problems precisely before reaching for a tool, AI or otherwise. Ownership mentality: You take responsibility from framing the question through delivering the recommendation and tracking its impact. You're accountable for decisions changed, not analyses delivered. AI-native working style: You use AI tooling (Claude Code or equivalent) as a genuine development partner: delegating discrete tasks, reviewing outputs critically, and running parallel workstreams. Curiosity and initiative: You don't wait for the roadmap to tell you what to analyze. You dig into data because you're genuinely curious about how things work. Influence at scale: You've shaped strategy at the business unit level by framing the right question and making the evidence impossible to ignore. Desired Experience & Qualifications 8+ years in an analytics, data science, or decision science role at a consumer tech company Advanced degree in a quantitative field (economics, statistics, quantitative social science, operations research) or equivalent practical experience Demonstrated experience with causal inference methods in applied settings (e.g., difference-in-differences, instrumental variables, regression discontinuity, synthetic controls, propensity score matching) Track record of influencing product or business strategy through data, with specific examples of cross-functional impact Experience with experimentation platforms (Statsig, Optimizely, or similar) Proficiency in SQL and Python/R for statistical analysis Preferred Qualifications Experience with subscription or freemium business models Familiarity with international / multi-market analytics Experience building dbt models or contributing to analytics engineering workflows Background in growth, retention, or lifecycle analytics Experience with LTV modeling, incrementality testing, or marketing mix modeling Our Benefits Competitive pay and benefits. Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer supplemental plans for medical and dental for Canadian employees. 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees. Employee Assistance Program (EAP) for mental wellness. Flexible PTO and 12 company wide days off throughout the year. Winter and Summer Weeklong Synchronized Company Shutdowns Learning & Development programs. Equipment, tools, and reimbursement support for a productive remote environment. Free Life360 Platinum Membership for your preferred circle. Free Tile Products Life360 Values Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference Be a Good Person - We have a team of high integrity people you can trust. Be Direct With Respect - We communicate directly, even when it’s hard. Members Before Metrics - We focus on building an exceptional experience for families. High Intensity, High Impact - We do whatever it takes to get the job done. Our Commitment to Diversity We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work. We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status. We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying! #LI-Remote ____________________________________________________________________________", "summaryDescription" : "Staff Decision Scientist (Strategic Insights) at Life360. Skills: Decision Science, Causal Inference, Experimentation, Strategic Insights. Own analytical narrative for Operating Group. Be strategic thought partner", "postedDate" : "2026-06-11T23:48:06.813", "createdAt" : "2026-06-11T23:48:06.813", "lastUpdated" : "2026-06-14T21:54:46.297", "ingestTimestamp" : "2026-06-11T23:48:06.813", "mongoId" : "6a2a84a674d8ee00a06797d5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Causal inference methods", "Experimental rigor", "Event instrumentation", "Metric definition", "Measurement frameworks", "Problem-solving", "Ownership", "Curiosity", "Initiative", "Influence", "Decision Science", "Causal Inference", "Experimentation", "Strategic Insights", "Decision science", "Strategic insights", "Causal inference", "Experimentation platforms", "Analytics engineering", "Growth analytics", "Retention analytics", "Lifecycle analytics", "LTV modeling", "Incrementality testing", "Marketing mix modeling", "Roadmap planning", "Consumer tech", "Subscription models", "Freemium models", "International analytics", "Statsig", "Optimizely", "dbt" ], "skillCount" : 34, "jobCategory" : "other", "jobSubcategory" : "analytics", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology" }, { "id" : "6a2cafed74d8ee00a09d83cf", "title" : "Director of Product - Data Platform and Decision Tooling", "company" : "Skyscanner", "industry" : "Product", "salary" : { "min" : 130000.0, "max" : 195000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Product in London, UK, adjusted for the technology industry and company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-15T08:15:47.164", "fingerprint" : "a4e711ada7f64ef3ad7274a130224cc6b0c75f6bdae3559a6db9eb38ab7abea5", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/skyscanner/350e50f6-ea4f-4898-92ce-497e253d5e61/application", "externalId" : "350e50f6-ea4f-4898-92ce-497e253d5e61", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Data Platform, ML, AI", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Platform leadership", "Product judgement", "Commercial impact", "Data quality", "Data governance", "MLOps", "Data engineering", "AI automation", "Data delivery", "Operating model definition" ], "hardSkillsList" : [ "Experimentation velocity", "Personalisation", "Revenue impact", "Cost control", "Product decisions" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Experimentation velocity", "level" : "intermediate" }, { "name" : "Personalisation", "level" : "intermediate" }, { "name" : "Revenue impact", "level" : "intermediate" }, { "name" : "Cost control", "level" : "intermediate" }, { "name" : "Product decisions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Platform, ML, AI, Product Management", "majorSkillsList" : [ "Data Platform", "ML", "AI", "Product Management" ], "coreResponsibilities" : "Own data platform reliability, Own data platform usability, Own data platform governance, Own data platform economic performance, Ensure product teams can test, Ensure product teams can learn, Ensure product teams make decisions quickly, Help data and ML signals move to dependable, Create foundations for teams to ask better questions, Create foundations for teams to find answers faster, Create foundations for teams to consume analytics, Shape how AI and automation support data engineering, Strengthen how data is moved, Strengthen how data is transformed, Strengthen how data is maintained, Strengthen how data is served, Turn data quality into managed capability, Define interfaces between teams, Connect technical investment to outcomes", "teamCollaboration" : "Cross-functional teams; Product engineering; Analytics teams; Data science teams; Business teams", "projectManagementSkills" : [ "Roadmap", "Priorities" ], "domainKnowledge" : "Data Platform; Decision Tooling; Machine Learning; AI; Data Quality; Data Governance; Data Engineering; Travel Industry", "domainList" : [ "data-platform", "decision-tooling", "machine-learning", "ai", "data-quality", "data-governance", "data-engineering", "travel-industry" ], "domainSpecificKnowledge" : [ "Data Platform", "Decision Tooling", "Machine Learning", "AI", "Data Quality", "Data Governance", "Data Engineering", "Travel Industry" ], "innovationCreativity" : "AI-native experiences", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Faster experimentation; Production-ready ML; Stronger data quality; Scalable delivery; Experimentation velocity; Personalisation; Revenue impact; Cost control; Better product decisions", "qualificationsBasic" : "Platform leader at scale, Product-minded and commercially sharp, Confident with data-powered products, Quality and ownership obsessed, Cross-functional by nature, Direct and pacey, Strategic but sleeves-rolled-up", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Skyscanner Everyone loves travelling, but planning is not without its challenges ✈️. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 160 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily \uD83D\uDCBB. Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all \uD83C\uDF0D. Our vision? To be the world's number one travel ally. (Ambitious? \uD83D\uDCAA Yes, but, hey, that's what got us here) About the role (Hybrid) Data has been at the heart of Skyscanner’s decision-making for over 20 years, and now our platform capability is stepping into an even bigger spotlight. You’ll own the foundations that help us turn data into trusted decisions, personalised product experiences, and measurable business impact at scale. You’ll keep today’s platform dependable while building what comes next: faster experimentation, production-ready ML and decisioning, stronger data quality, clearer ownership, and scalable delivery that does not need a small army to keep it moving. Think platform leadership, product judgement, commercial impact, and just enough travel chaos to keep things interesting. Inspired by the structure and tone of the example JDs. You can be based in Barcelona, Edinburgh or London where we adopt a hybrid working policy of working in the office twice a week. What you’ll be doing - Owning a trusted data platform: You’ll lead the reliability, usability, governance, and economic performance of the platform the whole data organisation depends on. - Making experimentation fly: You’ll ensure product teams can test, learn, and make decisions quickly, with clean assignment, accurate exposure capture, and confidence in the numbers. - Powering production-ready ML: You’ll help data and ML signals move from promising ideas to dependable traveller-facing experiences, without bespoke rework every time. - Enabling AI-assisted self-serve analytics: You’ll help create the foundations for teams to ask better questions, find trusted answers faster, and consume analytics through AI-native experiences grounded in governed metrics, clear definitions, and reusable knowledge. - Building for agentic data engineering: You’ll shape how AI and automation can support data engineering workflows, from discovery and documentation to pipeline development, testing, monitoring, incident response, and faster delivery of trusted data products. - Scaling data delivery: You’ll strengthen how data is moved, transformed, maintained, and served, so Skyscanner can support more use cases without scaling complexity at the same speed. - Making quality visible: You’ll turn data quality into a managed organisational capability, with clear ownership, measurable health, and faster issue detection and resolution. - Shaping the operating model: You’ll define the interfaces between data platform, AI platform, product engineering, analytics, data science, and business teams. - Turning platform work into impact: You’ll connect technical investment to outcomes like experimentation velocity, personalisation, revenue impact, cost control, and better product decisions. About you - Platform leader at scale: You’ve led business-critical platforms that many teams rely on, and you know how to make shared infrastructure trusted, adopted, and economically sustainable. - Product-minded and commercially sharp: You connect platform choices to company priorities, from revenue impact and product learning to operational risk and ROI. - Confident with data-powered products: You’ve enabled experimentation, ML, decisioning, or similar capabilities where data moves into real product experiences. - Quality and ownership obsessed: You know how to make standards, measurement, accountability, and support models stick without wrapping everyone in red tape. - Cross-functional by nature: You build alignment across product, engineering, AI, analytics, data science, and business teams, while keeping boundaries clear and useful. - Direct and pacey: You move with the speed the business needs, make decisions with incomplete information, and are honest when something is not working. - Strategic but sleeves-rolled-up: You can zoom out to shape the future state, then zoom in to unblock teams, sharpen priorities, and get the platform humming. What it's like here We are the real deal https://www.skyscanner.net/jobs/life— no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans ❤️, building things that help travellers explore the world a little easier \uD83E\uDDED. Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better — and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all https://www.skyscanner.net/jobs/esg ✨. Sound like your kind of adventure? \uD83D\uDE80 Apply now and help us shape the future of travel. We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident https://www.skyscanner.net/news/a-disability-confident-employer scheme, please let your recruiter know. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these. ", "summaryDescription" : "Director of Product - Data Platform and Decision Tooling at Skyscanner. Skills: Data Platform, ML, AI, Product Management. Own data platform reliability. Own data platform usability", "createdAt" : "2026-06-13T21:49:02.566", "lastUpdated" : "2026-06-15T08:15:47.164", "ingestTimestamp" : "2026-06-13T21:49:02.566", "mongoId" : "6a2cafed74d8ee00a09d83cf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Experimentation velocity", "Personalisation", "Revenue impact", "Cost control", "Product decisions", "Leadership", "Data Platform", "ML", "AI", "Product Management", "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Platform leadership", "Product judgement", "Commercial impact", "Data quality", "Data governance", "MLOps", "Data engineering", "AI automation", "Data delivery", "Operating model definition", "Roadmap", "Priorities", "Decision Tooling", "Machine Learning", "Data Quality", "Data Governance", "Data Engineering", "Travel Industry" ], "skillCount" : 32, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a309763f292fd229c0dc135", "title" : "Provider Relations Specialist", "company" : "Accanto Health", "industry" : "Healthcare", "salary" : { "min" : 85000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "2355 Highway 36 W, Ste 202, Roseville, MN 55113", "locations" : [ "2355 Highway 36 W", "Ste 202", "Roseville", "MN 55113" ], "certifications" : [ "U.S. Driver's License" ], "timestamp" : "2026-06-16T10:59:52.048", "fingerprint" : "0024ee091c8e2e0ff16e49aec2300b82aa6a383728ab0f59a9157dddf8c7d07e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/accantohealth858accanto858/jobs/5256735008", "externalId" : "5256735008", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Minnesota", "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Minnesota, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Salesforce, CRM", "professionalSkills" : [ "Business development", "Account management", "Market strategy", "Relationship management", "Business analysis", "Decision making", "Outreach planning", "Business development plan", "Community partnerships", "Referral management", "Expense management" ], "hardSkillsList" : [ "Territory analysis", "Outreach strategy", "Referral coordination", "Client experience management" ], "hardSkills" : [ { "name" : "Territory analysis", "level" : "intermediate" }, { "name" : "Outreach strategy", "level" : "intermediate" }, { "name" : "Referral coordination", "level" : "intermediate" }, { "name" : "Client experience management", "level" : "intermediate" } ], "majorSkills" : "Provider relations, Business development, Client coordination", "majorSkillsList" : [ "Provider relations", "Business development", "Client coordination" ], "coreResponsibilities" : "Cultivate referring provider relationships, Manage referring provider relationships, Collaborate with treatment team, Act as internal liaison, Identify market strategies, Build professional relationships, Deepen professional relationships, Optimize opportunities to expand impact, Optimize opportunities to expand patient engagement, Ensure coordination of communication, Manage communication process, Anticipate obstacles, Participate in solutions, Build strategic business plan, Manage strategic business plan, Execute strategic business plan, Analyze business opportunities, Anticipate marketplace changes, Initiate professional relationships, Connect interpersonally, Leverage differentiators, Maintain mutually beneficial relationships, Adapt to situations, Navigate obstacles, Drive territory initiatives, Hold self accountable, Pursue clinical knowledge, Pursue market knowledge, Ensure client perspectives drive decisions, Ensure colleague perspectives drive decisions, Align with Core Values, Establish professional credibility, Immerse in communities, Become trusted resource, Demonstrate professionalism in communication, Analyze territory, Develop outreach plan, Implement strategies to win back business, Retain established referral database, Grow existing referral database, Develop business development plan, Execute business development plan, Conduct face to face meetings, Uncover needs, Address barriers to treatment, Create community partnerships, Develop new referral channels, Create opportunities to increase awareness, Increase program reach, Plan conferences, Attend conferences, Plan networking events, Execute networking events, Plan presentations, Execute presentations, Plan tours, Execute tours, Customize presentations, Customize tours, Respond to service inquiries, Respond to referral inquiries, Provide support to referring professional, Provide support to family, Ensure communication from first call, Ensure care coordination from first call, Participate in quarterly field rides, Manage expenses, Manage company credit card tasks, Perform other duties as assigned", "teamCollaboration" : "Collaborate with treatment team; Internal liaison; Cross-functional collaboration", "projectManagementSkills" : [ "Business plan development" ], "domainKnowledge" : "Eating disorders; Behavioral health", "domainList" : [ "eating-disorders", "behavioral-health" ], "domainSpecificKnowledge" : [ "Eating disorders", "Behavioral health" ], "toolProficiency" : [ "Salesforce", "CRM tools" ], "communicationSkills" : "Interpersonal communication; Verbal communication; Written communication", "continuousLearning" : "Pursue clinical knowledge; Pursue market knowledge", "problemSolvingSkills" : "Participate in solutions; Analyze business opportunities; Address barriers to treatment", "specialRequirements" : "70-90% travel, Permanent residence in MN, Requires reliable transportation", "outcomesObjectives" : "Meet or exceed targets; Enhance patient experience; Enhance referent experience; Produce business results", "qualificationsBasic" : "2+ years sales experience, 2+ years business development experience, 2+ years account management experience, Current, valid U.S. Driver's License, Reliable transportation", "qualificationsPreferred" : "Behavioral health experience preferred, Eating disorder outreach experience preferred, Salesforce experience preferred, CRM tools experience preferred, Bachelor's degree in marketing, Bachelor's degree in communications, Bachelor's degree in psychology, Bachelor's degree in social work, Clinical background preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Our vision is a world of peaceful relationships with food, weight, and body image, where everyone with an eating disorder can experience recovery. We believe that exceptional, individualized care leads to lasting recovery from eating disorders. That’s why our teams are comprised of compassionate, dedicated professionals from a variety of backgrounds who collaborate to provide the very best evidence-based care for our clients at all levels of care. Provider Relations Specialist Position Overview As a Provider Relations Specialist, you will cultivate and manage referring provider relationships within a designated territory. You will collaborate with the client’s treatment team, internally and externally to provide comprehensive care coordination. You will also act as an internal liaison to foster and enhance the experience and outcomes for their clients and families. As a talented specialist you will identify market strategies, build and deepen professional relationships, and optimize potential opportunities to expand The Emily Program’s community impact and patient engagement. Schedule Monday-Friday (8:00 am-5:00 pm) Some evenings and weekends as needed for travel, events, or conferences Location Remote based 70-90% Travel within the assigned territory Western MN and surrounding areas as assigned Requires permanent residence in the state of MN Compensation Disclosure Provider Relations Specialist, starting salary range between $85,000-105,000 Uncapped incentive compensation plan Final Compensation offered will be within pay range based on qualifications/experience met for the position How Provider Relations Specialist Empower Recovery Concierge Customer Service: Ensures the coordination of communication as an integral part of the treatment team, joining internal and external care providers to provide an ideal level of communication and a concierge level of client experience. Locally manages the entire communication process from the initial call and proactively anticipates obstacles and participates in solutions from inception of a referral through the admission process to enhance patient and referent experience. Business Aptitude: Is the “CEO” of their own territory; builds, manages and executes a diversified, strategic business plan that includes tactical, measurable activities and branding opportunities that produce business results. Ability to make keen judgments and decisions by analyzing business opportunities and anticipating changes in the marketplace. Functions as “eyes and ears” back to the company providing a reciprocating connection between the program and the eating disorder community. Professional Relationship Development: Has the ability to continuously initiate professional relationships, connect interpersonally, leverage differentiators and maintain a mutually beneficial relationship. Provides unique knowledge, adapts to situations and navigates obstacles to create a genuine, trusting partnership. Results Driven: Drives territory initiatives with a self-motivated, self-governed approach; holding oneself accountable to tangible business and relational results through diverse, persistent outreach efforts. Motivated to achieve measurable outcomes. Continuously driven to pursue clinical and market knowledge that positions themselves and TEP as a valued resource in the treatment community. Client and Colleague Focused: Ensures our client’s and colleague’s perspectives are the driving force behind business decisions and activities, while ensuring that there is alignment with The Emily Program’s Core Values. Establishes professional credibility by immersing themselves in their respective communities, becoming a trusted resource for colleagues and clients. Role Responsibilities Demonstrate professionalism in interpersonal, verbal, and written communication skills with colleagues, clinicians, and all referral sources. Ability to analyze territory, develop a comprehensive outreach plan, and implement strategies to win back business, retain established and grow existing professional referral database. Demonstrate professionalism in interpersonal, verbal, and written communication skills with colleagues, clinicians, and all referral sources. Ability to analyze territory, develop a comprehensive outreach plan, and implement strategies to win back business, retain established and grow existing professional referral database. Develop and execute a written quarterly and annual business development plan within the designated territory to meet or exceed targets Conduct face to face meetings with key decision makers to uncover needs, address barriers to treatment and create community partnerships Develop new and emerging referral channels by creating opportunities to increase awareness of our services among providers, to increase program reach Plan/attend conferences/networking events on behalf of The Emily Program Plan and execute presentations and tours, customize them to the target audience Respond immediately to service and referral inquiries and provide support the referring professional and the family, from the first call through admission, ensuring communication and care coordination Participate in Quarterly field rides with VP, Clinical Outreach Manage expenses and company credit card tasks as designated by supervisor/administrator Perform other duties as assigned. Professional Qualifications 2+ years’ experience working in sales, business development, or account management Experience working in behavioral health or eating disorder outreach is preferred but not Experience working with Salesforce or similar CRM tools Must possess a current, valid S. Driver’s License. Must have reliable transportation Education Qualifications Bachelor’s degree Preference for a degree in marketing, communications, psychology, or social work, but not required. In the absence of a bachelor’s degree, high school diploma in addition to 4+ years of relevant experience Clinical background preferred but not required What we offer: Employee Benefits: We understand the importance of a well-rounded benefits package. That’s why we’re dedicated to providing a range of plans to meet your needs. For full-time employees, we offer: HSA and PPO insurance with HSA or FSA options (Blue Cross Blue Shield) Dental insurance (Delta Dental) Vision insurance (EyeMed) Short-term and long-term disability insurance Company-paid life insurance 401(k) plan available two months after start date Company 401(k) matching for up to 50% of your contribution, up to 6% of your compensation Paid time off is a crucial part of maintaining work and life balance. Our generous PTO plan accrues annually and begins with your first whole pay period. Eligible employees enjoy seven paid holidays and one floating holiday in addition to their regular PTO.", "summaryDescription" : "Provider Relations Specialist at Accanto Health. Skills: Provider relations, Business development, Client coordination. Cultivate referring provider relationships. Manage referring provider relationships", "postedDate" : "2026-06-16T03:16:37.026", "createdAt" : "2026-06-16T03:16:37.026", "lastUpdated" : "2026-06-16T10:59:52.048", "ingestTimestamp" : "2026-06-16T03:16:37.026", "mongoId" : "6a309763f292fd229c0dc135", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Territory analysis", "Outreach strategy", "Referral coordination", "Client experience management", "Provider relations", "Business development", "Client coordination", "Account management", "Market strategy", "Relationship management", "Business analysis", "Decision making", "Outreach planning", "Business development plan", "Community partnerships", "Referral management", "Expense management", "Business plan development", "Eating disorders", "Behavioral health", "U.S. Driver's License", "Salesforce", "CRM tools" ], "skillCount" : 23, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30579ef292fd229cf3c2bc", "title" : "Provider Relations Specialist", "company" : "The Emily Program", "industry" : "Healthcare", "salary" : { "min" : 85000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "2355 Highway 36 W, Ste 202, Roseville, MN 55113", "locations" : [ "2355 Highway 36 W", "Ste 202", "Roseville", "MN 55113" ], "timestamp" : "2026-06-16T07:08:50.714", "fingerprint" : "39feacfe428d2c9379bb515165c0aeac6ff69c91a0a94d20f94af295dd924f8e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/the858emily123program/jobs/5256733008", "externalId" : "5256733008", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Minnesota", "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Minnesota, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Salesforce, CRM", "professionalSkills" : [ "Business development", "Account management", "Market strategy", "Relationship management", "Business analysis", "Strategic planning", "Outreach planning", "Community partnerships", "Expense management" ], "hardSkillsList" : [ "Territory analysis", "Business plan execution", "Needs assessment", "Barrier identification", "Referral channel development", "Awareness creation", "Event planning", "Presentation customization", "Inquiry response", "Care coordination" ], "hardSkills" : [ { "name" : "Territory analysis", "level" : "intermediate" }, { "name" : "Business plan execution", "level" : "intermediate" }, { "name" : "Needs assessment", "level" : "intermediate" }, { "name" : "Barrier identification", "level" : "intermediate" }, { "name" : "Referral channel development", "level" : "intermediate" }, { "name" : "Awareness creation", "level" : "intermediate" }, { "name" : "Event planning", "level" : "intermediate" }, { "name" : "Presentation customization", "level" : "intermediate" }, { "name" : "Inquiry response", "level" : "intermediate" }, { "name" : "Care coordination", "level" : "intermediate" } ], "majorSkills" : "Provider relations, Business development, Care coordination", "majorSkillsList" : [ "Provider relations", "Business development", "Care coordination" ], "coreResponsibilities" : "Cultivate referring provider relationships, Manage referring provider relationships, Collaborate with client treatment team, Act as internal liaison, Foster client experience, Enhance client outcomes, Identify market strategies, Build professional relationships, Deepen professional relationships, Optimize opportunities, Expand community impact, Expand patient engagement, Ensure communication coordination, Manage communication process, Anticipate obstacles, Participate in solutions, Enhance patient experience, Enhance referent experience, Build strategic business plan, Execute strategic business plan, Produce business results, Analyze business opportunities, Anticipate marketplace changes, Provide connection between program and community, Initiate professional relationships, Connect interpersonally, Leverage differentiators, Maintain mutually beneficial relationships, Adapt to situations, Navigate obstacles, Create trusting partnership, Drive territory initiatives, Hold self accountable, Pursue clinical knowledge, Pursue market knowledge, Position self as resource, Position TEP as resource, Ensure client perspectives drive decisions, Ensure colleague perspectives drive decisions, Align with Core Values, Establish professional credibility, Immerse in communities, Become trusted resource, Demonstrate professionalism, Analyze territory, Develop outreach plan, Implement strategies to win back business, Implement strategies to retain business, Implement strategies to grow business, Develop quarterly business development plan, Develop annual business development plan, Meet targets, Exceed targets, Conduct face to face meetings, Uncover needs, Address barriers to treatment, Create community partnerships, Develop new referral channels, Create opportunities to increase awareness, Increase program reach, Plan conferences, Plan networking events, Execute presentations, Execute tours, Customize presentations, Customize tours, Respond to service inquiries, Respond to referral inquiries, Provide support to referring professional, Provide support to family, Participate in Quarterly field rides, Manage expenses, Manage company credit card tasks, Perform other duties as assigned", "teamCollaboration" : "Internal care providers; External care providers; Client treatment team", "domainKnowledge" : "Eating disorders; Behavioral health", "domainList" : [ "eating-disorders", "behavioral-health" ], "domainSpecificKnowledge" : [ "Eating disorders", "Behavioral health" ], "toolProficiency" : [ "Salesforce", "CRM tools" ], "communicationSkills" : "Interpersonal communication; Verbal communication; Written communication", "problemSolvingSkills" : "Participate in solutions", "specialRequirements" : "70-90% Travel, Permanent residence in MN", "outcomesObjectives" : "Meet or exceed targets", "qualificationsBasic" : "2+ years sales experience, 2+ years business development experience, 2+ years account management experience, Current, valid U.S. Driver's License, Reliable transportation", "qualificationsPreferred" : "Experience in behavioral health, Experience in eating disorder outreach, Experience with Salesforce, Experience with similar CRM tools, Degree in marketing, Degree in communications, Degree in psychology, Degree in social work, Clinical background", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Our vision is a world of peaceful relationships with food, weight, and body image, where everyone with an eating disorder can experience recovery. We believe that exceptional, individualized care leads to lasting recovery from eating disorders. That’s why our teams are comprised of compassionate, dedicated professionals from a variety of backgrounds who collaborate to provide the very best evidence-based care for our clients at all levels of care. Provider Relations Specialist Position Overview As a Provider Relations Specialist, you will cultivate and manage referring provider relationships within a designated territory. You will collaborate with the client’s treatment team, internally and externally to provide comprehensive care coordination. You will also act as an internal liaison to foster and enhance the experience and outcomes for their clients and families. As a talented specialist you will identify market strategies, build and deepen professional relationships, and optimize potential opportunities to expand The Emily Program’s community impact and patient engagement. Schedule Monday-Friday (8:00 am-5:00 pm) Some evenings and weekends as needed for travel, events, or conferences Location Remote based 70-90% Travel within the assigned territory Western MN and surrounding areas as assigned Requires permanent residence in the state of MN Compensation Disclosure Provider Relations Specialist, starting salary range between $85,000-105,000 Uncapped incentive compensation plan Final Compensation offered will be within pay range based on qualifications/experience met for the position How Provider Relations Specialist Empower Recovery Concierge Customer Service: Ensures the coordination of communication as an integral part of the treatment team, joining internal and external care providers to provide an ideal level of communication and a concierge level of client experience. Locally manages the entire communication process from the initial call and proactively anticipates obstacles and participates in solutions from inception of a referral through the admission process to enhance patient and referent experience. Business Aptitude: Is the “CEO” of their own territory; builds, manages and executes a diversified, strategic business plan that includes tactical, measurable activities and branding opportunities that produce business results. Ability to make keen judgments and decisions by analyzing business opportunities and anticipating changes in the marketplace. Functions as “eyes and ears” back to the company providing a reciprocating connection between the program and the eating disorder community. Professional Relationship Development: Has the ability to continuously initiate professional relationships, connect interpersonally, leverage differentiators and maintain a mutually beneficial relationship. Provides unique knowledge, adapts to situations and navigates obstacles to create a genuine, trusting partnership. Results Driven: Drives territory initiatives with a self-motivated, self-governed approach; holding oneself accountable to tangible business and relational results through diverse, persistent outreach efforts. Motivated to achieve measurable outcomes. Continuously driven to pursue clinical and market knowledge that positions themselves and TEP as a valued resource in the treatment community. Client and Colleague Focused: Ensures our client’s and colleague’s perspectives are the driving force behind business decisions and activities, while ensuring that there is alignment with The Emily Program’s Core Values. Establishes professional credibility by immersing themselves in their respective communities, becoming a trusted resource for colleagues and clients. Role Responsibilities Demonstrate professionalism in interpersonal, verbal, and written communication skills with colleagues, clinicians, and all referral sources. Ability to analyze territory, develop a comprehensive outreach plan, and implement strategies to win back business, retain established and grow existing professional referral database. Demonstrate professionalism in interpersonal, verbal, and written communication skills with colleagues, clinicians, and all referral sources. Ability to analyze territory, develop a comprehensive outreach plan, and implement strategies to win back business, retain established and grow existing professional referral database. Develop and execute a written quarterly and annual business development plan within the designated territory to meet or exceed targets Conduct face to face meetings with key decision makers to uncover needs, address barriers to treatment and create community partnerships Develop new and emerging referral channels by creating opportunities to increase awareness of our services among providers, to increase program reach Plan/attend conferences/networking events on behalf of The Emily Program Plan and execute presentations and tours, customize them to the target audience Respond immediately to service and referral inquiries and provide support the referring professional and the family, from the first call through admission, ensuring communication and care coordination Participate in Quarterly field rides with VP, Clinical Outreach Manage expenses and company credit card tasks as designated by supervisor/administrator Perform other duties as assigned. Professional Qualifications 2+ years’ experience working in sales, business development, or account management Experience working in behavioral health or eating disorder outreach is preferred but not Experience working with Salesforce or similar CRM tools Must possess a current, valid S. Driver’s License. Must have reliable transportation Education Qualifications Bachelor’s degree Preference for a degree in marketing, communications, psychology, or social work, but not required. In the absence of a bachelor’s degree, high school diploma in addition to 4+ years of relevant experience Clinical background preferred but not required What we offer: Employee Benefits: We understand the importance of a well-rounded benefits package. That’s why we’re dedicated to providing a range of plans to meet your needs. For full-time employees, we offer: HSA and PPO insurance with HSA or FSA options (Blue Cross Blue Shield) Dental insurance (Delta Dental) Vision insurance (EyeMed) Short-term and long-term disability insurance Company-paid life insurance 401(k) plan available two months after start date Company 401(k) matching for up to 50% of your contribution, up to 6% of your compensation Paid time off is a crucial part of maintaining work and life balance. Our generous PTO plan accrues annually and begins with your first whole pay period. Eligible employees enjoy seven paid holidays and one floating holiday in addition to their regular PTO.", "summaryDescription" : "Provider Relations Specialist at The Emily Program. Skills: Provider relations, Business development, Care coordination. Cultivate referring provider relationships. Manage referring provider relationships", "postedDate" : "2026-06-15T23:21:21.549", "createdAt" : "2026-06-15T23:21:21.549", "lastUpdated" : "2026-06-16T07:08:50.714", "ingestTimestamp" : "2026-06-15T23:21:21.549", "mongoId" : "6a30579ef292fd229cf3c2bc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Territory analysis", "Business plan execution", "Needs assessment", "Barrier identification", "Referral channel development", "Awareness creation", "Event planning", "Presentation customization", "Inquiry response", "Care coordination", "Provider relations", "Business development", "Account management", "Market strategy", "Relationship management", "Business analysis", "Strategic planning", "Outreach planning", "Community partnerships", "Expense management", "Eating disorders", "Behavioral health", "Salesforce", "CRM tools" ], "skillCount" : 24, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a0de91258b93c861eb99059", "title" : "Financial Analyst Senior - Decision Support Services", "industry" : "Healthcare", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Senior Financial Analyst in Tampa, United States, adjusted for the healthcare industry and onsite work mode." }, "location" : "United States-Florida-Tampa", "locations" : [ "United States-Florida-Tampa", "
TGH Corporate Center (TGHCORPCTR)
606 W Kennedy Blvd

Tampa, 33606

" ], "timestamp" : "2026-06-15T09:59:14.641", "fingerprint" : "5ce20a27fb17ee0f692b1bf9589ff6be61ec7a5a039241696fe2c4e6f34b439e", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-tgh.taleo.net/careersection/ex/jobdetail.ftl?job=678671", "externalId" : "678671", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.9449854,-82.4583107" } ], "locationText" : "Tampa, Florida, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Decision support systems, ERP systems", "professionalSkills" : [ "Financial analysis", "Decision support", "Healthcare analytics", "Financial planning", "Forecasting", "Strategic initiatives", "Data analysis", "Budget development", "Performance analysis", "Cost analysis", "Margin analysis", "Productivity analysis", "Trend analysis" ], "hardSkillsList" : [ "Financial modeling", "Data synthesis", "Data validation", "Variance analysis" ], "softSkillsList" : [ "Mentorship" ], "hardSkills" : [ { "name" : "Financial modeling", "level" : "intermediate" }, { "name" : "Data synthesis", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Variance analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentorship" } ], "majorSkills" : "Financial analysis, Decision support, Healthcare finance", "majorSkillsList" : [ "Financial analysis", "Decision support", "Healthcare finance" ], "coreResponsibilities" : "Lead financial analyses, Lead operational analyses, Provide analytical support, Support financial planning, Support forecasting, Support strategic initiatives, Translate data into insights, Create enterprise datasets, Manage enterprise datasets, Validate enterprise datasets, Synthesize data from systems, Develop system-level reports, Develop dashboards, Develop analyses, Analyze budget-to-actual variances, Analyze performance variances, Identify key drivers, Communicate implications to leadership, Act as data steward, Support standard definitions, Support data quality, Support reporting consistency, Promote continuous improvement, Identify process enhancements, Identify automation opportunities, Identify reporting efficiency opportunities, Provide informal mentorship, Support system-level initiatives", "teamCollaboration" : "Executive stakeholders; Cross functional teams; Finance leadership; Operational leaders; Clinical stakeholders", "domainKnowledge" : "Healthcare finance; Enterprise data structures; Multi-entity healthcare", "domainList" : [ "healthcare-finance", "enterprise-data-structures", "multi-entity-healthcare" ], "domainSpecificKnowledge" : [ "Healthcare finance", "Enterprise data structures", "Multi-entity healthcare" ], "toolProficiency" : [ "Strata", "PeopleSoft" ], "communicationSkills" : "Executive presentations; System-level reporting", "problemSolvingSkills" : "Actionable insights", "outcomesObjectives" : "Support financial sustainability; Support operational performance; Support long-term strategy", "qualificationsBasic" : "Bachelor's Degree in Business, 5 years financial analysis, 5 years decision support, 5 years healthcare analytics, Experience in health system, Experience in multi-entity healthcare, Experience with decision support systems, Experience with ERP systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Financial Analyst Sr provides advanced, system level financial and decision support analytics to enterprise finance leadership, executive stakeholders, and cross functional teams. This role focuses on enterprise performance, standardization, and strategic decision-making across the health system. Applies advanced knowledge of healthcare finance, decision support systems, and enterprise data structures to translate complex, multi-entity information into actionable insights that support financial sustainability, operational performance, and long-term system strategy. Essential Functions: Lead and deliver system‑level financial and operational analyses, including service line performance, productivity, cost, margin, and volume trends across hospitals and entities. Provide advanced analytical support for departmental and service line budget development, including modeling assumptions, validating inputs, and ensuring consistency across the system. Support enterprise financial planning, forecasting, and strategic initiatives through integrated financial and operational analytics. Partner with Finance leadership, operational leaders, and clinical stakeholders to translate complex data into actionable insights and recommendations. Create, manage, and validate enterprise‑level datasets, synthesizing data from multiple financial and operational systems. Develop and present system‑level reports, dashboards, and analyses for executive and governance audiences. Analyze budget‑to‑actual and performance variances, identify key drivers, and communicate implications to leadership. Act as a steward of enterprise financial and operational metrics, supporting standard definitions, data quality, and reporting consistency. Promote continuous improvement by identifying opportunities to enhance decision support processes, automation, and reporting efficiency. Provide informal mentorship to Financial Analyst Accountant(s) and support other system-level initiatives as assigned. Bachelor's Degree in Business, Finance, Healthcare Administration, and/or other related field. 5 years of progressive experience in financial analysis, decision support, or healthcare analytics. Experience in a health system or multi-entity healthcare environment. Experience with decision support and ERP systems (e.g., Strata, PeopleSoft or comparable platforms). Tampa", "summaryDescription" : "Financial Analyst Senior - Decision Support Services. Skills: Financial analysis, Decision support, Healthcare finance. Lead financial analyses. Lead operational analyses", "createdAt" : "2026-06-14T08:38:35.056", "lastUpdated" : "2026-06-15T09:59:14.641", "ingestTimestamp" : "2026-06-14T08:38:35.056", "mongoId" : "6a0de91258b93c861eb99059", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Financial modeling", "Data synthesis", "Data validation", "Variance analysis", "Mentorship", "Financial analysis", "Decision support", "Healthcare finance", "Healthcare analytics", "Financial planning", "Forecasting", "Strategic initiatives", "Data analysis", "Budget development", "Performance analysis", "Cost analysis", "Margin analysis", "Productivity analysis", "Trend analysis", "Enterprise data structures", "Multi-entity healthcare", "Strata", "PeopleSoft" ], "skillCount" : 23, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2a660b74d8ee00a062bb77", "title" : "Director, Analytics and Decision Science", "company" : "Audible, Inc.", "industry" : "Finance Accounting, Science, subsidiaries", "salary" : { "min" : 100000.0, "max" : 236900.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Newark, New Jersey, USA", "locations" : [ "Newark, New Jersey, USA" ], "timestamp" : "2026-06-15T03:08:33.431", "fingerprint" : "a7c3ae8b94b8a84b0c96a0a724805259d1556dc2c4b18884b4a7dcc9b396e6ae", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10442437/apply", "externalId" : "0cca02c1-c81a-4c57-bad0-6f556b3742b9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Newark", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7356570,-74.1723667" } ], "locationText" : "Newark, New Jersey, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Python, R, SQL, Tableau, Microstrategy", "professionalSkills" : [ "Decision science", "Business intelligence", "Strategic analytics", "Consulting" ], "hardSkillsList" : [ "Causal inference", "Experimental design", "Data modeling" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Analytics, Decision Science, Data Products", "majorSkillsList" : [ "Analytics", "Decision Science", "Data Products" ], "coreResponsibilities" : "Drive discussion and decision, Explain insight-driven actions, Predict insight-driven actions, Scenarize insight-driven actions, Deliver technical solutions, Influence business functions, Guide business functions, Automate business functions, Increase business effectiveness, Increase business efficiency, Hold business accountable, Drive continuous improvement, Design measurement frameworks, Build measurement frameworks, Track initiative performance, Track business performance, Frame hypotheses, Frame potential decisions, Develop experimental designs, Leverage cross-functional knowledge, Design decision science initiatives, Lead decision science initiatives, Understand business economics, Identify pain points, Identify opportunities, Provide solutions, Develop in-depth knowledge, Maximize tool potential, Own accuracy of deliveries, Own relevance of deliveries, Own quality of deliveries, Own impact of deliveries, Communicate crisply, Develop compelling presentations, Develop compelling documents", "teamCollaboration" : "Cross-functional knowledge; Business partners; Tech audiences; Non-tech audiences", "projectManagementSkills" : [ "High-stake tasks", "Simultaneous projects" ], "domainKnowledge" : "Digital environment", "domainList" : [ "digital-environment" ], "domainSpecificKnowledge" : [ "Digital environment" ], "toolProficiency" : [ "Tableau", "Microstrategy" ], "communicationSkills" : "Oral communication; Written communication; Executive presentations; Manager presentations", "documentationSkills" : "Documents", "problemSolvingSkills" : "Strategic thinking; Insightful analysis", "outcomesObjectives" : "Influence business functions; Guide business functions; Automate business functions; Increase effectiveness; Increase efficiency; Hold accountable; Drive continuous improvement; Track initiative performance; Track business performance; Focus on results; Focus on execution", "qualificationsBasic" : "Analyzing data to drive decisions, 5+ years relevant experience, Degree in technology or mathematics, Developing data-driven products, Sharing business recommendations, Managing challenging assignments, Experience with Python, Experience with R, Experience with SQL, Experience with Tableau, Experience with Microstrategy", "qualificationsPreferred" : "Advanced degree, MBA, MS, PhD, Experience in large B2C companies, Experience working with C-level leaders", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us. At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us. ABOUT THIS ROLE As a leader and individual contributor of Audible’s Analytics and Decision Science group, you will drive discussion and decision with our business partners by explaining, predicting, scenarizing, prescribing insight-driven actions with/for both tech and non-tech audiences. You will deliver the right technical solution (analytics- or data-product) to influence, guide, and force-multiply (via automation) our business functions, increase their effectiveness and efficiency, and hold them accountable. You will help drive continuous improvement by designing and building measurement frameworks, and other communications conduits (presentations and documents) to track initiative and business performance, driving focus on results and execution. You will frame hypotheses and potential decisions into a testable structure and develop robust experimental designs. You will leverage deep cross-functional knowledge to be a trusted advisor across a wide range of issues. Alternate locations available: This position can also be located in Audible's Berlin or London hubs. ABOUT YOU You are able to work with minimal instruction and oversight, conduct multiple high-stake tasks and projects simultaneously, and own deliverables end-to-end with limited dependencies on the work of others. You have the ability to think strategically, develop insightful analysis, and frame decisions, and communicate findings concisely to senior leaders in your and other organizations. As a Director, Analytics and Decision Science, you will... - Design and lead hands-on decision science initiatives that support Audible strategy and programs. Use causal inference methods (experimentation and models) to understand the incremental impact of our activity on business performance - Learn and master the intricacies of our economics, understand pain points and opportunities, and provide solutions short-term and long-term - Develop an in-depth knowledge of all relevant data sources, business intelligence technologies, data science, and analytical tools available to maximize their potential. Ensure and own the accuracy, relevance, quality, and impact of your deliveries - Communicate crisply in both oral and written forms for different levels of audiences (Tech, non-Tech, manager to executive) - Develop compelling presentations and documents ABOUT AUDIBLE Audible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home. Basic Qualifications: - Experience in analyzing data to drive decisions - 5+ years of relevant experience in the areas of Strategic Analytics, Business Intelligence, Decision Science, or Consulting in a digital environment or in a related field - Degree in technology, mathematics or a related field, speaks of a person who is comfortable in data-centric environments - Experience in developing data-driven products, and sharing business recommendation and their financial/customer impact with the stakeholders - Experience managing challenging assignments with aggressive schedules - Experience with programming languages (such as Python, R, etc.), SQL and visualization tools (Tableau, Microstrategy, etc.) Preferred Qualifications: - Advanced degree, Business (MBA), MS, PhD or equivalent experience - Previous experience in large B2C companies a plus - Experience working with C-level leaders Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NJ, Newark - 175,100.00 - 236,900.00 USD annually", "summaryDescription" : "Director, Analytics and Decision Science at Audible, Inc.. Skills: Analytics, Decision Science, Data Products. Drive discussion and decision. Explain insight-driven actions", "postedDate" : "2026-06-13T08:15:57.478", "createdAt" : "2026-06-13T08:15:57.478", "lastUpdated" : "2026-06-15T03:08:33.431", "ingestTimestamp" : "2026-06-13T08:15:57.478", "mongoId" : "6a2a660b74d8ee00a062bb77", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10442437/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 236900, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Causal inference", "Experimental design", "Data modeling", "Leadership", "Analytics", "Decision Science", "Data Products", "Decision science", "Business intelligence", "Strategic analytics", "Consulting", "High-stake tasks", "Simultaneous projects", "Digital environment", "Tableau", "Microstrategy" ], "skillCount" : 16, "jobCategory" : "sales", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a3079aef292fd229c034403", "title" : "Retail Data & Consumer Insights Intern", "company" : "Umami", "industry" : "Work-Based Learning", "salary" : { "min" : 15.0, "max" : 15.0, "currency" : "USD", "frequency" : "per-hour-wage" }, "location" : "Bentonville, AR", "locations" : [ "Bentonville, AR" ], "timestamp" : "2026-06-16T12:03:59.337", "fingerprint" : "6e536fffe8e3ec6e34e36a6a3478d006e6cd30d3a0d3d1e5023943cea511c667", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/acds/f1b59e1c-6037-430d-8bcd-38f63c131057/apply", "externalId" : "f1b59e1c-6037-430d-8bcd-38f63c131057", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bentonville", "state" : "Arkansas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.3728608,-94.2087870" } ], "locationText" : "Bentonville, Arkansas, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Clippr plugin", "professionalSkills" : [ "Consumer insights", "Product insights", "Data collection", "Data entry", "Data analysis", "Reporting", "Competitive benchmarking", "Assortment mapping", "Consumer sentiment analysis", "Innovation pipeline prioritization", "Brand health analysis", "Opportunity sizing", "Workflow optimization", "Process improvements", "Database maintenance", "Knowledge repositories" ], "hardSkillsList" : [ "Data visualization", "Reporting" ], "hardSkills" : [ { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "majorSkills" : "Retail data, Consumer insights, AI", "majorSkillsList" : [ "Retail data", "Consumer insights", "AI" ], "coreResponsibilities" : "Capture product data, Capture pricing data, Capture packaging data, Capture assortment data, Maintain accuracy, Maintain consistency, Identify anomalies, Identify gaps, Identify trends, Flag data entry issues, Use Clippr plugin, Scrape retail product information, Tag retail product information, Organize retail product information, Execute standardized workflows, Support category scans, Support competitive benchmarking, Support assortment mapping, Structure data for analytics, Structure data for reporting, Gather review-based consumer sentiment data, Decode consumer pain points, Decode unmet needs, Decode competitive strengths, Decode competitive weaknesses, Support creation of category snapshots, Support creation of opportunity maps, Support creation of concept inputs, Support preparation of reports, Analyze patterns across retailers, Analyze patterns across categories, Analyze patterns across consumer feedback, Contribute to innovation pipeline prioritization, Organize data inputs, Synthesize data inputs, Assist with ad hoc research, Support internal documentation, Support workflow optimization, Participate in team meetings, Contribute to process improvements, Maintain internal databases, Maintain knowledge repositories, Provide general operational support", "teamCollaboration" : "Innovation team; Insights team; Product team", "domainKnowledge" : "CPG innovation; AI; Retail data; Product development", "domainList" : [ "cpg-innovation", "ai", "retail-data", "product-development" ], "domainSpecificKnowledge" : [ "CPG innovation", "AI", "Retail data", "Product development" ], "toolProficiency" : [ "Clippr plugin", "Microsoft Excel", "Google Sheets", "Tableau", "Power BI", "Looker Studio" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Internal documentation", "continuousLearning" : "Learning new technologies", "problemSolvingSkills" : "Identify anomalies; Identify gaps; Identify trends; Decode consumer pain points; Decode unmet needs; Decode competitive strengths; Decode competitive weaknesses", "specialRequirements" : "No future visa sponsorship", "qualificationsBasic" : "Attention to detail, Proficiency with Microsoft Excel, Proficiency with Google Sheets, Ability to identify patterns, Ability to identify trends, Ability to identify inconsistencies in data, Ability to work independently, Ability to manage multiple projects, Ability to meet deadlines, Current Arkansas state resident, Ability to pass a standard background check, Ability to work 40 hours a week, Ability to work full-time in the United States, Technical aptitude", "qualificationsPreferred" : "Familiarity with data visualization tools, Familiarity with reporting tools, Curious about CPG innovation, Excited to work at the intersection of AI, retail data, and product development, Interest in learning new technologies, Interest in growing IT career, Interest in starting IT career, Ability to communicate technical aptitude", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Apprenticely is working with our company partner, the Umami to add an Retail Data & Consumer Insights Intern to their team in Bentonville, Arkansas! Our Apprenticely Internship Program is a three-month program that places selected candidates with employers across Arkansas in IT positions to gain experience under the guidance of a professional mentor/IT support team. Internships are designed as an on-ramp to an IT career and can roll into full-time positions based on employer demand. About Umami: Umami is an AI-enabled, customer-driven Food & Beverage innovation platform built to analyze customer feedback and company advantages to generate strategic product insights for innovators within consumer-driven brands. We combine machine learning, consumer data, and brands’ unique advantages—from insight to innovation. FIELDBOOK, a studio operated by Alloy Partners, is dedicated to creating and accelerating advantaged “retail value chain” startups. We are launching Umami out of Fieldbook Studio—backed by the Walton Family Foundation and the Arkansas Development Finance Authority (ADFA). About the Role: The Intern will support Umami’s retail data collection and consumer insights workflows using the Clippr plugin and related internal tools. This role is ideal for someone who is detail‑oriented, curious about CPG innovation, and excited to work at the intersection of AI, retail data, and product development. ## Intern Responsibilities Capture product, pricing, packaging, and assortment data across assigned retailers and categories Maintain accuracy and consistency across large datasets Identify anomalies, gaps, or trends during data entry and flag them for review Use the Clippr plugin to scrape, tag, and organize retail product information Execute standardized workflows to support category scans, competitive benchmarking, and assortment mapping Ensure data is properly structured for downstream analytics and reporting Assist in gathering review-based consumer sentiment data aligned with Umami’s methodology (real reviews, not social media) Help decode consumer pain points, unmet needs, and competitive strengths/weaknesses Support the creation of category snapshots, opportunity maps, and early-stage concept inputs Support the preparation of internal and client-facing reports, including charts, summaries, and insights Help analyze patterns across retailers, categories, and consumer feedback Contribute to innovation pipeline prioritization work by organizing and synthesizing data inputs Collaborate with the Innovation, Insights, and Product teams as needed Assist with ad hoc research tasks related to brand health, innovation reports, and opportunity sizing Support internal documentation and workflow optimization Participate in team meetings and contribute to process improvements Help maintain internal databases and knowledge repositories Provide general operational support as the company scales its AI-powered product development platform ## Qualifications of an ideal candidate Strong attention to detail with the ability to maintain accuracy across large datasets. Proficiency with Microsoft Excel and/or Google Sheets. Familiarity with data visualization and reporting tools such as Tableau, Power BI, Looker Studio, or similar platforms. Excellent organizational and time management skills. Strong written and verbal communication skills. Ability to identify patterns, trends, and inconsistencies in data. Comfortable learning new software tools and technology platforms. Ability to work independently while managing multiple projects and deadlines. ## Additional Details Pay Range: $15/hr Schedule: 40-hour week: typically 8 a.m. - 5 p.m. Monday-Friday Length of Internship: 3 months with the potential to convert to a full-time opportunity based on employer demand Location: Bentonville, Arkansas ## Our Must Haves Current Arkansas state resident Ability to pass a standard background check Ability to work 40 hours a week, following the three-month internship Ability to work full-time in the United States without a current or future need for visa sponsorship High curiosity and interest in learning new technologies and growing or starting your IT career Technical aptitude exhibited through projects, experience, or online learning and the ability to communicate what you know ## Additional Information How does the interview process work? Apprenticely will conduct an initial phone interview and assessment. Apprenticely will send selected resumes to companies that match the candidate’s skills and interests. Our employer partners will decide who to interview and select the final candidates for the internship program. Meet the Apprenticely team and join our upcoming virtual webinars via zoom; dates and details are on our events page. Check out our YouTube page for past webinars and career tips! Learn more about us @ www.acds.co & LinkedIn, Facebook, Instagram & Twitter The Arkansas Center for Data Sciences dba Apprenticely will not discriminate against apprenticeship applicants or apprentices based on RACE, COLOR, RELIGION, NATIONAL ORIGIN, SEX (INCLUDING PREGNANCY AND GENDER IDENTITY), SEXUAL ORIENTATION, GENETIC INFORMATION, OR BECAUSE THEY ARE AN INDIVIDUAL WITH A DISABILITY OR A PERSON 40 YEARS OLD OR OLDER. Apprenticely will take affirmative action to provide equal opportunity in apprenticeship and will operate the apprenticeship program as required under Title 29 of the Code of Federal Regulations, part 30 SMS terms: Arkansas Center for Data Sciences (ACDS) DBA Apprenticely offers you the option to engage in SMS text conversations about your application for jobs and training programs. By participating, you also understand that message frequency may vary depending on the status of your job application, and that message and data rates may apply. Please consult your carrier for further information on applicable rates and fees. Carriers are not liable for delayed or undelivered messages. Reply STOP to cancel and HELP for help. View our Privacy & SMS Policy: https://apprenticely.org/privacy-policy/", "summaryDescription" : "Retail Data & Consumer Insights Intern at Umami. Skills: Retail data, Consumer insights, AI. Capture product data. Capture pricing data", "postedDate" : "2026-06-15T14:23:33.187", "createdAt" : "2026-06-15T14:23:33.187", "lastUpdated" : "2026-06-16T12:03:59.337", "ingestTimestamp" : "2026-06-16T03:26:12.618", "mongoId" : "6a3079aef292fd229c034403", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 15, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data visualization", "Reporting", "Retail data", "Consumer insights", "AI", "Product insights", "Data collection", "Data entry", "Data analysis", "Competitive benchmarking", "Assortment mapping", "Consumer sentiment analysis", "Innovation pipeline prioritization", "Brand health analysis", "Opportunity sizing", "Workflow optimization", "Process improvements", "Database maintenance", "Knowledge repositories", "CPG innovation", "Product development", "Clippr plugin", "Microsoft Excel", "Google Sheets", "Tableau", "Power BI", "Looker Studio" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7ab774d8ee00a09468bd", "title" : "US Reward Advisor", "company" : "Baringa", "industry" : "Consulting", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level US Reward Advisor in Texas, adjusted for the consulting industry and company size." }, "location" : "Texas", "locations" : [ "Texas" ], "timestamp" : "2026-06-15T06:23:23.117", "fingerprint" : "27296a5fce14962523de857d96c4816affcfe92a8198ff1f160e9dcc9c316ed5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/baringa/jobs/4871200101", "externalId" : "4871200101", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Texas", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Texas, United States", "professionalSkills" : [ "Employee relations", "Organizational development", "Talent management", "HR processes" ], "hardSkillsList" : [ "Benefits administration", "Compensation analysis", "Visa processing", "Compliance reporting" ], "hardSkills" : [ { "name" : "Benefits administration", "level" : "intermediate" }, { "name" : "Compensation analysis", "level" : "intermediate" }, { "name" : "Visa processing", "level" : "intermediate" }, { "name" : "Compliance reporting", "level" : "intermediate" } ], "majorSkills" : "US benefits, US compensation, US mobility, US payroll", "majorSkillsList" : [ "US benefits", "US compensation", "US mobility", "US payroll" ], "coreResponsibilities" : "Deliver end-to-end US benefits administration, Support benefits renewals, Provide employee advisory support, Lead benefits communications, Manage US wellbeing initiatives, Produce benefits-related compliance reporting, Provide US-based mobility and visa support, Manage remote working requests, Manage transfers, Manage right-to-work checks, Act as key contact for travel queries, Act as key contact for immigration queries, Support salary benchmarking, Support review processes", "teamCollaboration" : "Global Reward expertise; Local business needs", "domainKnowledge" : "US Reward portfolio; US benefits; US compensation; US mobility; US immigration; US payroll", "domainList" : [ "us-reward-portfolio", "us-benefits", "us-compensation", "us-mobility", "us-immigration", "us-payroll" ], "domainSpecificKnowledge" : [ "US Reward portfolio", "US benefits", "US compensation", "US mobility", "US immigration", "US payroll" ], "communicationSkills" : "Employee communications", "problemSolvingSkills" : "Proactive problem-solving", "outcomesObjectives" : "Improve speed of Reward delivery; Improve quality of Reward delivery; Improve resilience of Reward delivery", "qualificationsBasic" : "US benefits administration, US wellbeing initiatives, US-based mobility support, US visa support, Right-to-work checks", "qualificationsPreferred" : "Payroll experience, Compensation experience", "remoteFriendly" : false, "rawDescription" : "About Baringa Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding. The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence – all powered by advanced technology, data, AI and digital innovation. Clients value Baringa’s collaborative approach and the way its teams integrate seamlessly – all working with a shared understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors. Certified as a Great Place to Work around the world, Baringa has been recognised by the Financial Times in 22 categories of its UK Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World’s Best Management Consulting Firms. About Baringa: Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding. The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence – all powered by advanced technology, data, AI and digital innovation. Clients value Baringa’s collaborative approach and the way its teams integrate seamlessly – all working with a shared understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about client success as they help clients transform energy markets, modernize financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors. Certified as a Great Place to Work around the world, Baringa has been recognized by the Financial Times in 22 categories of its UK Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World’s Best Management Consulting Firms. Our People team are looking for a US Reward Advisor to join the team. The People team exists to ensure Baringa’s people experience enables our strategy, growth, and performance. The team designs and delivers future‑ready people solutions across reward, benefits, wellbeing, people operations, systems, and policy, ensuring our colleagues are supported to do their best work wherever they are in the world. By balancing commercial rigour, strong governance, and a deep understanding of employee needs, the function helps Baringa attract, retain, and develop exceptional talent while sustaining a kind, inclusive, and high‑performing culture. What you will be doing We are thrilled to be launching this brand-new role within the Reward Team, providing local, US support across the full Reward portfolio. The role is designed to improve the speed, quality, and resilience of Reward delivery in the US, acting as a key connector between global Reward expertise and local business needs. The role spans payroll, benefits, compensation, and mobility, with a strong focus on practical delivery, employee support, and proactive problem-solving: Benefits & Wellbeing (c.35% of the role) Deliver end-to-end US benefits administration and support renewals/benchmarking Provide employee advisory support (queries, claims, leave) and lead communications incl. open enrollment Manage US wellbeing initiatives, including budget, forums, and champion network Produce benefits-related compliance reporting Mobility & Immigration (c.35% of the role) Provide US-based mobility and visa support, including ownership of select visa types Manage remote working requests, transfers, and right-to-work checks Act as a key contact for travel and immigration queries Compensation (c.15% of the role) Support salary benchmarking, review processes, and pay queries Maintain compensation data (banding/salary) and assist with profit share (bonus) delivery Contribute to Peakon insights and action planning Payroll Support (c.15% of the role) While the role will not initially have ownership over US payroll, they will be cross-trained to support the payroll team when necessarily, building to take full ownership over time Support state registrations and ensure compliance requirements are met. Act as a US time-zone contact for payroll queries, including paystub access and issue resolution. Your skills and experience Experience across one or more Reward disciplines (Benefits, Payroll, Comp, or Mobility) Strong operational delivery focus with attention to detail Confidence handling employee queries and sensitive topics Ability to apply judgement within defined policies and guardrails Strong stakeholder management and communication skills Comfortable working in a globally distributed team, including: Being line managed by a manager based in a different country (UK-based) Collaborating closely with Reward team members across the UK and Bulgaria Balancing global alignment with local US delivery needs Ability to build strong working relationships with US-based HR and Recruitment colleagues, partnering effectively on the ground while remaining connected to a globally structured Reward team Comfortable working across systems and data (e.g., Workday, trackers, reporting) Confidence partnering with senior stakeholders, influencing through insight and judgement. What a career at Baringa will give you Putting People First. Baringa is a People First company and wellbeing is at the forefront of our culture. We recognize the importance of work-life balance and flexible working and provide our staff amazing benefits. Some of these benefits include: Generous Annual Leave Policy: We recognize everyone needs a well-deserved break. We provide our employees with 5 weeks of annual leave, fully available at the start of each year. In addition to this, we have introduced our 5-Year Recharge benefit which allows all employees an additional 2 weeks of paid leave after 5 years continuous service. Flexible Working: We know that the ‘ideal’ work-life balance will vary from person to person and change at different stages of our working lives. To accommodate this, we have implemented a hybrid working policy and introduced more flexibility around taking unpaid leave. Corporate Responsibility Days: Our world is important to us, so all our employees get 3 every year to help social and environmental causes and increase our impact on the communities that mean the most to us. Wellbeing Fund: We want to encourage all employees to take charge and prioritize their own wellbeing. We’ve introduced our annual People Fund to support this by offering every individual a fund to support and manage their wellbeing through an activity of their choice. Career Progression: No one develops at the same pace. That’s why we have quarterly rather than annual promotion reviews. We don’t have any quotas: if you’re ready and delivering at the right level, you’ll get that promotion. Profit Share Scheme: All employees participate in the Baringa Group Profit Share Scheme so everyone has a stake in the company’s success. Diversity and Inclusion We are proud to be an Equal Opportunity Employer. We believe that creating an environment where everyone feels a sense of belonging is central to our culture and that diversity is paramount to driving creativity, innovation, and value for our clients and for our people. An award-winning workplace You can be a part of our ‘Great Place to Work’ – with our commitment to women and well-being in the workplace for all. Click here to see some of our recent awards and how we’ve achieved this. Using business as a force for good. We maintain high standards of environmental performance and transparency, which can be seen through our commitment to Net Zero with our SBTI-verified Scope 1, 2 and 3 emissions reduction targets and our support of the Better Business Act. We report our progress publicly and ensure that we are also externally assessed and scored through organizations like CDP and EcoVadis - helping us to continually identify where we can improve. We have a long legacy of supporting the communities in which we work, and offer a variety of ways to contribute, by putting people first and creating impact that lasts. Our Corporate Social Responsibility (CSR) agenda is about giving back to the communities in which we live and work by sharing our skills, talent and time. In essence, we aim to empower and encourage everyone in the firm to contribute to the things we care about, and support registered charities and organisations with a clear social or environmental purpose to increase the positive impact they can have. Join us All applications received will be reviewed by a member of our Talent Acquisition team. We never rely solely on automated screening or AI tools to make hiring decisions. Your application will be considered for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, faith or social background. We do not filter applications by university background and encourage those who have taken alternative educational and career paths to apply. We would like to actively encourage applications from those who identify with less represented and minority groups. We operate an inclusive recruitment process, ensuring reasonable adjustments where needed. Please contact a member of our Recruitment Team to discuss further. Baringa Privacy Notices For UK & EU Your personal data will be retained by Baringa for up to two years, in accordance with our UK Recruitment Privacy Notice / EU Recruitment Privacy Notice, to evaluate your application and meet our legal and reporting obligations. In line with the General Data Protection Regulation (GDPR), you have the right to request access to, rectification, or erasure (subject to legal limitations) of your personal data. For more information, please contact us at privacy@baringa.com For the USA Your personal data may be retained by Baringa for up to two years, as outlined in our Recruitment Privacy Notice (AMER & APAC), to support the recruitment process and internal reporting requirements. Where applicable, and in accordance with relevant federal and state laws, you may have the right to request access to or correction of your personal information. For further details, please contact privacy@baringa.com For Australia & Singapore Your personal data will be retained by Baringa for up to two years, in accordance with our Recruitment Privacy Notice (AMER & APAC), to assess your application and meet applicable reporting and legal obligations. In line with the Australian Privacy Act and Singapore’s Personal Data Protection Act (PDPA), you may have rights to access, correct, or request limited deletion of your personal data. For more information, please contact us at privacy@baringa.com", "summaryDescription" : "US Reward Advisor at Baringa. Skills: US benefits, US compensation, US mobility, US payroll. Deliver end-to-end US benefits administration. 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"employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Redshift, ETL, ELT, Data modeling, Python, Java, Scala, NodeJS, Hadoop, Hive, Spark, EMR, AWS, S3, EC2, Lambda, GenAI, ML", "professionalSkills" : [ "Data governance", "Data quality", "Data reliability", "Business intelligence", "Data architecture", "Pipeline solutions", "Audience segmentation", "Content analysis", "Experimentation automation", "Marketing optimization", "Audience strategy", "Programming decisions" ], "hardSkillsList" : [ "Data pipeline development", "Data infrastructure management", "Platform capabilities", "Performance optimization", "Cost efficiency", "Scalability management", "Monitoring implementation", "Alerting implementation", "SLA implementation", "Data quality frameworks", "Cross-functional partnership", "Roadmap reviews", "Incident response", "Continuous improvement" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Data infrastructure management", "level" : "intermediate" }, { "name" : "Platform capabilities", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Cost efficiency", "level" : "intermediate" }, { "name" : "Scalability management", "level" : "intermediate" }, { "name" : "Monitoring implementation", "level" : "intermediate" }, { "name" : "Alerting implementation", "level" : "intermediate" }, { "name" : "SLA implementation", "level" : "intermediate" }, { "name" : "Data quality frameworks", "level" : "intermediate" }, { "name" : "Cross-functional partnership", "level" : "intermediate" }, { "name" : "Roadmap reviews", "level" : "intermediate" }, { "name" : "Incident response", "level" : "intermediate" }, { "name" : "Continuous improvement", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Data Engineering, AI/ML, Data Platform, Team Leadership", "majorSkillsList" : [ "Data Engineering", "AI/ML", "Data Platform", "Team Leadership" ], "coreResponsibilities" : "Lead and develop senior data engineers, Hire senior data engineers, Mentor senior data engineers, Set technical direction, Manage performance of engineers, Manage growth opportunities for engineers, Own data platform strategy, Own data platform roadmap, Manage Redshift infrastructure, Optimize Redshift infrastructure, Ensure Redshift performance, Ensure Redshift cost efficiency, Ensure Redshift availability, Ensure Redshift scalability, Own data pipelines for AI tools, Ensure reliable data flows, Ensure high-quality data flows, Drive data engineering for applications, Establish data governance standards, Enforce data governance standards, Establish data quality standards, Enforce data quality standards, Establish data reliability standards, Enforce data reliability standards, Implement monitoring, Implement alerting, Implement SLAs, Implement data quality frameworks, Partner cross-functionally, Translate business requirements, Design scalable data architecture, Design pipeline solutions, Represent data engineering in forums, Contribute to annual planning, Contribute to QBRs, Contribute to roadmap reviews, Communicate trade-offs, Communicate capacity constraints, Communicate investment needs, Drive operational excellence, Own on-call processes, Manage incident response, Manage COE follow-ups, Improve operational posture", "teamCollaboration" : "Product managers; Data scientists; Analytics; BI engineers; Software engineers; Content programmers; Marketing strategists; Senior leadership", "projectManagementSkills" : [ "Roadmap planning", "Annual planning", "QBRs" ], "domainKnowledge" : "Prime Video; Audience Insights; Streaming services; Content programming; Marketing optimization; Audience growth; AI Tooling; Automation; Audience Infrastructure; Customer journey; Marketplace intelligence; Competitive intelligence; Digital creative production; Ad serving; Cross-channel attribution; Media analytics", "domainList" : [ "prime-video", "audience-insights", "streaming-services", "content-programming", "marketing-optimization", "audience-growth", "ai-tooling", "automation", "audience-infrastructure", "customer-journey", "marketplace-intelligence", "competitive-intelligence", "digital-creative-production", "ad-serving", "cross-channel-attribution", "media-analytics" ], "domainSpecificKnowledge" : [ "Prime Video", "Audience Insights", "Streaming services", "Content programming", "Marketing optimization", "Audience growth", "AI Tooling", "Automation", "Audience Infrastructure", "Customer journey", "Marketplace intelligence", "Competitive intelligence", "Digital creative production", "Ad serving", "Cross-channel attribution", "Media analytics" ], "toolProficiency" : [ "Redshift clusters", "Jenkins", "Bamboo", "TeamCity", "Code Deploy", "GitLab" ], "communicationSkills" : "Verbal communication; Written communication", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "On-call processes", "qualificationsBasic" : "7+ years data engineering experience, Experience managing data/BI team, 5+ years processing data with massively parallel technology, 3+ years developing/operating large-scale data structures for BI analytics, Experience leading/influencing data/BI strategy, Experience communicating to senior management, Experience communicating to customers, Experience in scripting or programming language", "qualificationsPreferred" : "Experience with big data technologies, Experience with AWS Tools, Experience working with Data & AI technologies, Knowledge of digital creative production, Knowledge of ad serving, Knowledge of cross-channel attribution, Knowledge of media analytics, Experience developing cloud native CI/CD workflows", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming across thousands of devices, from award-winning Amazon MGM Studios originals to live sports, channels, and TVOD. Behind the content our customers love is a team shaping what gets released, when, and for whom. The US Planning & Audience Insights team is where strategy meets data meets AI: we build the tools and intelligence that power programming decisions, audience growth, and marketing optimizations. We’re looking for a Data Engineering Manager to lead the Data Engineering function within Prime Video’s US Planning & Audience Insights team. This team defines Prime Video’s north star (long-term strategy, priority audiences, and growth objectives) and delivers the customer intelligence, analytics, and AI-powered solutions that enable the organization to achieve them. You’ll lead a team of senior data engineers and own the data infrastructure, pipelines, and platform capabilities that power our analytics, AI tools, and business-critical applications. Your team’s work directly enables content programming, marketing optimization, and audience strategy for one of the world’s largest streaming services. This requires you to balance competing priorities, manage complex stakeholder relationships, and work shoulder-to-shoulder with product managers, data scientists, and analytics to deliver scalable data solutions at pace. Key job responsibilities • Lead and develop a team of senior data engineers, hiring, mentoring, setting technical direction, managing performance and growth opportunities. • Own the data platform strategy and roadmap for the team’s portfolio, including multiple Redshift clusters, ETL/ELT pipelines, and data models that serve analytics, data science, and business stakeholders. • Manage and optimize Redshift infrastructure, ensuring performance, cost efficiency, availability, and scalability across multiple clusters serving diverse business lines. • Own data pipelines for AI-powered tools, ensuring reliable, high-quality data flows that power the team’s GenAI and ML applications including content analysis, audience segmentation, and experimentation automation. • Drive data engineering for business-critical applications, including dashboards and other internal self developed software products. • Establish and enforce data governance, quality, and reliability standards, implementing monitoring, alerting, SLAs, and data quality frameworks across the team’s data assets. • Partner cross-functionally with product managers, data scientists, BI engineers, and software engineers to translate business requirements into scalable data architecture and pipeline solutions. • Represent data engineering in planning and leadership forums, contributing to annual planning, QBRs, and roadmap reviews. Communicate trade-offs, capacity constraints, and investment needs clearly to senior leadership. • Drive operational excellence, owning on-call processes, incident response, COE follow-ups, and continuous improvement of the team’s operational posture. About the team The US Planning & Audience Insights team sits within US Prime Video. We operate across six functions: Business Planning, Product-Tech, Analytics, Data Science, Data Engineering, and Research. Our stakeholders span content programming, content acquisition, marketing, and PV senior leadership. Our 2026 roadmap is anchored in two investment themes (AI Tooling & Automation and Audience Infrastructure & Insights) spanning content optimization, experimentation, marketing, customer journey, marketplace, and competitive intelligence. Our products serve content programmers, marketing strategists, and senior leadership. We build tools that help PV decide what to release, when to release it, who to target, and how to measure success at scale. Basic Qualifications: - 7+ years of data engineering experience - Experience managing a data or BI team - 5+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience - 3+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience - Experience leading and influencing the data or BI strategy of your team or organization - Experience communicating to senior management and customers verbally and in writing - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Preferred Qualifications: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with AWS Tools and Technologies (Redshift, S3, EC2) - Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage - Knowledge of digital creative production, ad serving, cross-channel attribution, and media analytics - Experience developing cloud native CI/CD workflows and tools, such as Jenkins, Bamboo, TeamCity, Code Deploy (AWS) or GitLab Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Culver City - 170,000.00 - 230,000.00 USD annually USA, WA, SEATTLE - 170,000.00 - 230,000.00 USD annually", "summaryDescription" : "Data Engineering Manager, Planning and Audience Insights at Amazon.com Services LLC. Skills: Data Engineering, AI/ML, Data Platform, Team Leadership. Lead and develop senior data engineers. Hire senior data engineers", "postedDate" : "2026-06-13T10:46:12.112", "createdAt" : "2026-06-13T10:46:12.112", "lastUpdated" : "2026-06-15T03:17:28.355", "ingestTimestamp" : "2026-06-13T10:46:12.112", "mongoId" : "6a25145a74d8ee00a00bb4fb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10441155/apply", "salaryAnnualMin" : 170000, "salaryAnnualMax" : 230000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Data infrastructure management", "Platform capabilities", "Performance optimization", "Cost efficiency", "Scalability management", "Monitoring implementation", "Alerting implementation", "SLA implementation", "Data quality frameworks", "Cross-functional partnership", "Roadmap reviews", "Incident response", "Continuous improvement", "Leadership", "Mentoring", "Data Engineering", "AI/ML", "Data Platform", "Team Leadership", "Data governance", "Data quality", "Data reliability", "Business intelligence", "Data architecture", "Pipeline solutions", "Audience segmentation", "Content analysis", "Experimentation automation", "Marketing optimization", "Audience strategy", "Programming decisions", "Roadmap planning", "Annual planning", "QBRs", "Prime Video", "Audience Insights", "Streaming services", "Content programming", "Audience growth", "AI Tooling", "Automation", "Audience Infrastructure", "Customer journey", "Marketplace intelligence", "Competitive intelligence", "Digital creative production", "Ad serving", "Cross-channel attribution", "Media analytics", "Redshift clusters", "Jenkins", "Bamboo", "TeamCity", "Code Deploy", "GitLab" ], "skillCount" : 56, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "68e0a7e3ce260f92cbf8eaef", "title" : "Senior Financial Analyst, Alexa and AGI Finance - Insights, Planning, Econometrics, Decision (IPED)", "company" : "Amazon.com Services LLC", "industry" : "Finance Accounting, Finance/Planning, finance", "salary" : { "min" : 60200.0, "max" : 128800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "certifications" : [ "CPA" ], "timestamp" : "2026-06-15T04:18:33.010", "fingerprint" : "432289d70da51e5b952c389f0edd751eeff63254efcd35fcf67027989db34d2e", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3100130/apply", "externalId" : "e2017249-5ee4-4213-8e54-8e19e6bc40d1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL", "professionalSkills" : [ "Financial forecasting", "Financial planning", "Variance analysis", "Cost allocations", "Business metrics", "Infrastructure efficiency" ], "hardSkillsList" : [ "Financial modeling", "Data analysis" ], "softSkillsList" : [ "Analytical", "Creative", "Learning" ], "hardSkills" : [ { "name" : "Financial modeling", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Creative" }, { "name" : "Learning" } ], "majorSkills" : "Financial analysis, Forecasting, Planning", "majorSkillsList" : [ "Financial analysis", "Forecasting", "Planning" ], "coreResponsibilities" : "Lead financial forecasting, Lead financial planning, Build financial reports, Build financial models, Build variance analysis, Build cost allocations, Measure operational metrics, Measure business metrics, Establish controls, Provide recommendations, Present financial summaries, Present business insights", "teamCollaboration" : "Multiple stakeholders; Business leadership teams; Finance leadership teams; Cross-organizational teams", "domainKnowledge" : "AWS cloud infrastructure; Econometrics", "domainList" : [ "aws-cloud-infrastructure", "econometrics" ], "domainSpecificKnowledge" : [ "AWS cloud infrastructure", "Econometrics" ], "toolProficiency" : [ "SQL" ], "communicationSkills" : "Presenting financial summaries; Presenting business insights", "continuousLearning" : "Continuously learn", "problemSolvingSkills" : "Analytical", "outcomesObjectives" : "Inform investment decisions; Inform strategic decision making", "qualificationsBasic" : "Bachelor's degree in finance, 3+ years tax experience, 3+ years finance experience, 3+ years analytical field experience, 3+ years building financial reports, 3+ years building operational reports, 3+ years building data sets, Experience working with stakeholders", "qualificationsPreferred" : "MBA preferred, CPA preferred, Advanced SQL for data mining, Advanced SQL for business intelligence", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon seeks an Senior Financial Analyst to play a key role on the Alexa and Artificial General Intelligence (AGI) Insights, Planning, Econometrics and Decision (IPED) finance team. This role will be responsible for driving broad insights that can shape the Alexa and AGI financial strategies, including the GAAP and econometric P&L used to inform short and long term investment decisions. The successful candidate will build scalable analyses, key performance indicators and insights. These insights will be shared with the Alexa and AGI Business and Finance Leadership teams to inform strategic decision making. This position will work closely with multiple stakeholders across the organization (e.g. Devices and Services FP&A, leaders within the Alexa and AGI Finance organizations, and cross-organizational business and finance teams) to align on critical inputs, ranges of outcomes, and confidence intervals. This is an exciting opportunity to join one of the most innovative and dynamic businesses. This role requires someone to be analytical, creative, detail oriented and eager to continuously learn. Key job responsibilities Key job responsibilities - Leading short and long-term financial forecasting and planning for AWS cloud infrastructure costs across AGI and Alexa - Building financial reports, models, variance analysis, and cost allocations - Measuring operational and business metrics - Establishing controls and providing recommendations for infrastructure efficiency - Presenting financial summaries and business insights to senior management Basic Qualifications: - Bachelor's degree in finance, accounting or related field - 3+ years of tax, finance or a related analytical field experience - 3+ years of building financial and operational reports/data sets that inform business decision-making experience - Experience working with stakeholders Preferred Qualifications: - MBA, or CPA - Experience with advanced use of SQL for data mining and business intelligence Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $60,200/year in our lowest geographic market up to $128,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Senior Financial Analyst, Alexa and AGI Finance - Insights, Planning, Econometrics, Decision (IPED) at Amazon.com Services LLC. Skills: Financial analysis, Forecasting, Planning. Lead financial forecasting. Lead financial planning", "postedDate" : "2026-06-13T12:40:22.932", "createdAt" : "2026-06-13T12:40:22.932", "lastUpdated" : "2026-06-15T04:18:33.010", "ingestTimestamp" : "2026-06-13T12:40:22.932", "mongoId" : "68e0a7e3ce260f92cbf8eaef", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3100130/apply", "salaryAnnualMin" : 60200, "salaryAnnualMax" : 128800, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Financial modeling", "Data analysis", "Analytical", "Creative", "Learning", "Financial analysis", "Forecasting", "Planning", "Financial forecasting", "Financial planning", "Variance analysis", "Cost allocations", "Business metrics", "Infrastructure efficiency", "AWS cloud infrastructure", "Econometrics", "CPA", "SQL" ], "skillCount" : 18, "jobCategory" : "sales", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6960822f0937eae70e9c7ff0", "title" : "Quality and Insights Manager", "company" : "Home Group", "salary" : { "min" : 40000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "Tyne and Wear-Newcastle upon Tyne-Newcastle upon Tyne (Strawberry Lane)", "locations" : [ "Tyne and Wear-Newcastle upon Tyne-Newcastle upon Tyne (Strawberry Lane)", "18.Jan.26, 11:59:00 PM", "242570, 242570, true" ], "timestamp" : "2026-06-15T11:57:45.075", "fingerprint" : "4b9f2cf4840138e705560c1bd8e964c5a6230bfec82b31df2e3b0287238c5c7d", "source" : "taleo", "language" : "en", "applyUrl" : "https://homegroup.taleo.net/careersection/ex/jobdetail.ftl?job=242570", "externalId" : "242570", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Newcastle upon Tyne", "state" : "Tyne and Wear", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "54.9738474,-1.6131572" } ], "locationText" : "Newcastle upon Tyne, Tyne and Wear, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Audit analysis", "Feedback analysis", "Action planning", "Team management", "Coaching support", "Training program management", "Performance improvement", "Process management", "Standards management", "Needs spotting", "Customer voice integration" ], "hardSkills" : [ { "name" : "Audit analysis", "level" : "intermediate" }, { "name" : "Feedback analysis", "level" : "intermediate" }, { "name" : "Action planning", "level" : "intermediate" }, { "name" : "Team management", "level" : "intermediate" }, { "name" : "Coaching support", "level" : "intermediate" }, { "name" : "Training program management", "level" : "intermediate" }, { "name" : "Performance improvement", "level" : "intermediate" }, { "name" : "Process management", "level" : "intermediate" }, { "name" : "Standards management", "level" : "intermediate" }, { "name" : "Needs spotting", "level" : "intermediate" }, { "name" : "Customer voice integration", "level" : "intermediate" } ], "majorSkills" : "Quality assurance, Customer insights, Team leadership, Continuous improvement", "majorSkillsList" : [ "Quality assurance", "Customer insights", "Team leadership", "Continuous improvement" ], "coreResponsibilities" : "Build quality assurance framework, Manage quality assurance framework, Drive excellent customer outcomes, Drive brilliant colleague experience, Turn checks into insights, Turn audits into insights, Turn feedback into insights, Suggest actions from insights, Manage coaches, Support coaches, Manage trainer, Support trainer, Ensure training programme is insight-driven, Ensure coaching support is insight-driven, Improve performance, Help leaders understand performance, Help teams understand performance, Drive continuous improvement culture, Keep processes fresh, Keep standards fresh, Spot training needs, Put support in place, Make customer voice central", "teamCollaboration" : "Work with leaders; Work with team; Work with L&D", "domainKnowledge" : "Customer service; Regulated setting", "domainList" : [ "customer-service", "regulated-setting" ], "domainSpecificKnowledge" : [ "Customer service", "Regulated setting" ], "communicationSkills" : "Share feedback", "continuousLearning" : "Grow career support; Learning support", "innovationCreativity" : "Shape something new", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "outcomesObjectives" : "Drive changes that matter; Improve customer experiences; Ensure right service first time", "qualificationsBasic" : "Line management experience, Contact centre experience, Customer service environment experience, Quality management qualification, Auditing qualification, Equivalent experience in setting up quality assurance, Equivalent experience in managing quality assurance, Analytical skills, Problem-solving skills, Clear timely feedback skills, Communication skills, Influencing skills, Collaborative approach, Passion for coaching, Helping others grow, Build something new, Take people on journey", "qualificationsPreferred" : "Coaching and training a new team experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Quality & Insights Manager Newcastle upon Tyne, hybrid working minimum 2 days office based per week Permanent, full time (37.5 hpw) Earn £40,000 pa, with bril liant benefits! ‘Previous applicants need not apply’ Home, a place where you belong You know that great service doesn’t happen by accident. It’s built on care, consistency and a clear picture of how we’re doing. If you’ve ever thought “there’s a better way to do this” and wanted the space to make it happen, this could be your moment. We’re looking for someone who can bring quality assurance to life, not just in processes, but in how our colleagues work together, learn and grow. With experience of coaching and training a new team. You’ll be the person who spots what’s going well, sees where we can improve, and turns that into insight that will drive changes that really matter for our customers. You’ll join our friendly Customer Service Quality and Improvement team, where we work hard to make sure every customer gets the right service, first time. You’ll have the freedom to dig deep into the details to share insights and manage the actions that drive better customer experiences. What you’ll do Build and manage a simple, consistent quality assurance framework that works for everyone and drives excellent customer outcomes and brilliant colleague experience. Turn checks, audits and feedback into clear insights and suggested actions Manage and support a team of coaches and a trainer, ensuring the training programme and coaching support are insight-driven and focused on improving performance Work with leaders and team to help them understand how we are performing and drive a continuous improvement culture within the team Keep our processes and standards fresh, relevant and fit for the future Spot training needs quickly and working with our trainer along with L&D to put the right support in place Make sure the customer’s voice is at the heart of every change we make Why choose us Imagine finishing each day knowing you’ve made a real difference in our customers’ lives. That’s exactly what you’ll do here, working for a top 10 Great Place to Work in the UK! You’ll have space to grow, support to learn, and the chance to shape something brand new. What you bring Strong line management experience. Experience of working in a contact centre or customer service environment. A qualification in quality management, auditing, or equivalent experience in setting up or managing quality assurance in a regulated setting A curious mind with great analytical and problem-solving skills The confidence to share clear timely feedback that drives action Strong communication and influencing skills with a collaborative approach Passion for coaching and helping others grow Enthusiasm to build something new and take people on the journey with you Job details You’ll work Monday to Friday This is a hybrid role, and you’ll spend a minimum of 2 days in our One Strawberry Lane office, and the rest working from home A place where you belong We do our best work when we can be ourselves. That’s why inclusion and wellbeing shape our policies and daily practice. Our diversity networks, Multicultural, LGBTQIA+, Women, and Disability, along with peers and allies, help us thrive. Together we make Home Group a great place to work ! What’s in it for you? Enjoy 34 days leave (this includes bank holidays and a \"me day\"!), and the option to buy five days more (subject to criteria). 2 days paid volunteering Generous pension and 3x salary life insurance. Check more benefits online! Save up to £1140 yearly with our health cash plan, covering dental, optical, and therapies. 800+ discounts or cashback on shopping, holidays, and more. We’re a top 10 UK Wellbeing employer; our tools and support are here when you need them! Grow your career with us, we’ll help you take the next step. Ready to join us? Click APPLY NOW to see the Quality & Insights Manager job description , learn about us , and for help to apply . Don’t wait, roles can close early, so apply and take the first step towards making a difference. To let us know how we can help you shine in our process, email recruitment@homegroup.org.uk to discuss your reasonable adjustments. Newcastle upon Tyne (Strawberry Lane)", "summaryDescription" : "Quality and Insights Manager at Home Group. Skills: Quality assurance, Customer insights, Team leadership, Continuous improvement. Build quality assurance framework. Manage quality assurance framework", "createdAt" : "2026-06-14T01:52:38.205", "lastUpdated" : "2026-06-15T11:57:45.075", "ingestTimestamp" : "2026-06-14T01:52:38.205", "mongoId" : "6960822f0937eae70e9c7ff0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Audit analysis", "Feedback analysis", "Action planning", "Team management", "Coaching support", "Training program management", "Performance improvement", "Process management", "Standards management", "Needs spotting", "Customer voice integration", "Quality assurance", "Customer insights", "Team leadership", "Continuous improvement", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Customer service", "Regulated setting" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2caaaf74d8ee00a09ca052", "title" : "Reward Manager", "company" : "Ampol", "industry" : "Oil And Energy", "location" : "Alexandria, New South Wales, Australia", "locations" : [ "Alexandria", "New South Wales", "Australia" ], "timestamp" : "2026-06-15T06:46:37.487", "fingerprint" : "ab3402103990dda17a1d66c974323f18c2a01a5540c4110eb4d5762bedd155e0", "source" : "smartrecruiters", "applyUrl" : "https://jobs.smartrecruiters.com/Ampol/6000000001150890-reward-manager", "externalId" : "6000000001150890", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Alexandria", "state" : "New South Wales", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Alexandria, New South Wales, Australia", "employmentType" : "CONTRACT", "minimumEducation" : "Bachelor", "experienceMinYears" : 7, "experienceLevel" : "not-applicable", "hardSkillsList" : [ "job architecture", "role benchmarking", "remuneration analysis", "equity programs" ], "softSkillsList" : [ "analytical capability, attention to detail, prioritisation skills, operate in fast-paced environments, work autonomously" ], "hardSkills" : [ { "name" : "job architecture", "level" : "intermediate" }, { "name" : "role benchmarking", "level" : "intermediate" }, { "name" : "remuneration analysis", "level" : "intermediate" }, { "name" : "equity programs", "level" : "intermediate" } ], "softSkills" : [ { "name" : "analytical capability, attention to detail, prioritisation skills, operate in fast-paced environments, work autonomously" } ], "majorSkills" : "Reward Management, Remuneration, Performance Management, Analytics", "majorSkillsList" : [ "Reward Management, Remuneration, Performance Management, Analytics" ], "coreResponsibilities" : "The Reward Manager will oversee a major integration program into Ampol’s reward frameworks, including job architecture alignment and role benchmarking, and support the transition to performance and remuneration frameworks. This role involves delivering annual remuneration review activities, leading fixed and variable reward processes, and providing market insights and analysis to inform decision-making.", "teamCollaboration" : "Collaborate across the team on integration priorities.", "projectManagementSkills" : [ "project management" ], "continuousLearning" : "Career development and learning opportunities including LinkedIn Learning and other tailored training solutions.", "specialRequirements" : "We’re an equal opportunity workplace. We welcome applications from people of all ages, cultural backgrounds, and diverse sexualities and genders (including if you identify as transgender). We also highly encourage Aboriginal and Torres Strait Islander peoples to apply for roles with Ampol.", "qualificationsBasic" : "Degree in Finance, Human Resources, or a related discipline. Experience in broad-based reward across corporate or commercial portfolios. Proven experience managing salary reviews, incentive programs, and job architecture frameworks. Experience working within complex organisations of similar scale. Analytical capability with the ability to interpret data and translate into insights. High attention to detail with project management and prioritisation skills. Ability to operate in fast-paced, ambiguous environments and manage competing priorities. Comfortable working autonomously with minimal supervision.", "qualificationsPreferred" : "Experience with executive reward or equity programs is not essential but will be viewed favourably.", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "At Ampol, we believe in the Power of Us - the extraordinary power of people to connect, act, and make a difference. As a leading energy company operating across Australia, New Zealand, Singapore and the United States, our work spans fuel supply, energy solutions, convenience retail, infrastructure, trading and shipping. Every role at Ampol plays a part in something bigger - powering progress for our customers, communities, and people. Your career here is yours to shape. We back our people with real opportunities, the tools to grow, and a culture that rewards ownership and initiative. Whether you’re deepening your expertise or taking on something new, we’ll support you to power a career that works for you. We’re building a workplace where everyone feels welcome, respected, and valued - because when people are free to be themselves, powerful things happen. About Group Corporate Our Group teams enable the broader business to perform - providing strategic, financial, legal, people and governance expertise. With roles across Australia, Singapore and the US, we’re critical partners to the business and help shape Ampol’s future. We work across borders, collaborate widely, and lead with purpose - always looking for ways to improve how we operate, support our people, and deliver results. About the role We are seeking an experienced Reward Manager to join Ampol on a 12-month max-term contract , based at our Alexandria HQ. Reporting to the Head of Performance and Reward, this role will act as a senior subject matter expert across remuneration, performance, and reward frameworks, ensuring they remain competitive, compliant, and aligned to business objectives. This position has been created to support a major integration program into Ampol’s reward framework, offering a unique opportunity to contribute to large-scale organisational change. Key responsibilities * Manage a major integration program into Ampol’s reward frameworks, including job architecture alignment and role benchmarking * Support the transition to Ampol’s performance and remuneration frameworks, including legacy performance review completion * Deliver annual remuneration review activities, * Lead fixed and variable reward processes, ensuring strong governance and stakeholder alignment * Provide market insights, benchmarking, and remuneration analysis to inform decision-making * Contribute to strategic reward initiatives and collaborate across the team on integration priorities Qualifications & Experience * Strong experience in broad-based reward across corporate or commercial portfolios * Proven experience managing salary reviews, incentive programs, and job architecture frameworks * 7+ years’ experience in remuneration, reward, analytics, or HR consulting * Experience working within complex organisations of similar scale * Strong analytical capability with the ability to interpret data and translate into insights * High attention to detail with strong project management and prioritisation skills * Ability to operate in fast-paced, ambiguous environments and manage competing priorities * Comfortable working autonomously with minimal supervision * Degree in Finance, Human Resources, or a related discipline * Experience with executive reward or equity programs is not essential but will be viewed favourably Benefits * Our total remuneration is competitive. * We are flexible. Many of our teams have embraced hybrid work, balancing time spent remote working, with time spent at an office to connect and work together where it adds value. * We value recognition. We have an internal recognition platform amplifying the achievements of those who do great work and demonstrate our capabilities and values. * Career development and learning opportunities including LinkedIn Learning and other tailored training solutions. Want to take your career to the next level? Apply today. ## Additional Information By clicking apply, you confirm you have read and agree to our [Ampol Recruitment Privacy Collection Statement](https://c.smartrecruiters.com/sr-company-attachments-prod-aws-dc9/68397163321cc03b6a5d240c/e4090605-2b96-49c6-9240-9213d28366f2?r=s3-ap-southeast-2). We’re an equal opportunity workplace. We not only embrace diversity and inclusion; we celebrate what makes you unique. We welcome applications from people of all ages, cultural backgrounds, and diverse sexualities and genders (including if you identify as transgender). We also highly encourage Aboriginal and Torres Strait Islander peoples to apply for roles with Ampol.", "summaryDescription" : "Reward Manager at Ampol. Skills: Reward Management, Remuneration, Performance Management, Analytics. The Reward Manager will oversee a major integration program into Ampol’s reward frameworks, including job architecture alignment and role benchmarking, and support the transition to performance and remuneration frameworks. This role involves delivering annual remuneration review activities, leading fixed and variable reward processes, and providing market insights and analysis to inform decision-", "postedDate" : "2026-06-12T05:43:02.000", "createdAt" : "2026-06-14T20:25:32.110", "lastUpdated" : "2026-06-15T06:46:37.487", "ingestTimestamp" : "2026-06-14T20:25:32.110", "mongoId" : "6a2caaaf74d8ee00a09ca052", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "job architecture", "role benchmarking", "remuneration analysis", "equity programs", "analytical capability, attention to detail, prioritisation skills, operate in fast-paced environments, work autonomously", "Reward Management, Remuneration, Performance Management, Analytics", "project management" ], "skillCount" : 7, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6b6274d8ee00a0911fd0", "title" : "Provider Relations Manager", "company" : "Cadence Solutions", "industry" : "Healthcare", "salary" : { "min" : 95000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-seniority Provider Relations Manager in the US Healthcare industry, adjusted for a remote work mode." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T07:30:26.935", "fingerprint" : "89435068cb443798cc5c9f32658b857fb58b39441320826b50889287b853267b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/solutions/jobs/4678978006", "externalId" : "4678978006", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Google Workspace, AI productivity tools", "professionalSkills" : [ "Account management", "Project leadership", "Customer service", "Stakeholder management", "Performance targets", "Process documentation", "Workflow diagnosis" ], "hardSkillsList" : [ "Data analysis", "Influencing provider engagement" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Influencing provider engagement", "level" : "intermediate" } ], "majorSkills" : "Provider relations, Clinical program deployment, Health system partnerships", "majorSkillsList" : [ "Provider relations", "Clinical program deployment", "Health system partnerships" ], "coreResponsibilities" : "Own end-to-end deployment, Align platform capabilities, Drive clinician adoption, Drive patient adoption, Build trusted relationships physicians, Build trusted relationships care teams, Build trusted relationships clinic administrators, Serve as primary escalation path, Monitor provider engagement metrics, Monitor adoption data, Present performance reports, Drive behavior change, Improve outcomes practice level, Identify expansion opportunities, Surface new patient populations, Surface new conditions, Partner develop repeatable processes, Channel provider feedback, Diagnose workflow gaps, Escalate issues, Drive resolutions", "teamCollaboration" : "Internal Product teams; Care Delivery teams; Partnerships team", "domainKnowledge" : "Clinical AI; Chronic conditions; Hypertension; Heart failure; Diabetes; Medicare; Health system EMRs; Clinical Intelligence platform; Care delivery organization; Primary care providers; AI agents; Clinical workflows; Provider workflows", "domainList" : [ "clinical-ai", "chronic-conditions", "hypertension", "heart-failure", "diabetes", "medicare", "health-system-emrs", "clinical-intelligence-platform", "care-delivery-organization", "primary-care-providers", "ai-agents", "clinical-workflows", "provider-workflows" ], "domainSpecificKnowledge" : [ "Clinical AI", "Chronic conditions", "Hypertension", "Heart failure", "Diabetes", "Medicare", "Health system EMRs", "Clinical Intelligence platform", "Care delivery organization", "Primary care providers", "AI agents", "Clinical workflows", "Provider workflows" ], "toolProficiency" : [ "Google Workspace", "Gemini", "Notion AI" ], "communicationSkills" : "Performance reports", "problemSolvingSkills" : "Diagnosing workflow gaps", "specialRequirements" : "National travel 2-3 nights/week, Frequent roundtrip flights, Local driving between sites, On the road weekly, Commutable range major airport", "outcomesObjectives" : "Deliver measurable impact patients; Deliver measurable impact health systems; Improve outcomes practice level", "qualificationsBasic" : "3+ years account management, 3+ years project leadership, 3+ years healthcare customer service, Bachelor's degree healthcare, Bachelor's degree business, Bachelor's degree communications, Build credible relationships clinical, Build credible relationships administrative, Manage multiple stakeholder relationships, Exceed performance targets field-based, Comfort operating independently, National weekly travel, Reside near major airport, Valid driver’s license, Proficiency Google Workspace, Proficiency web-based collaboration tools, Analytical skills, Data-driven approach influencing, Fluency AI productivity tools, Comfort applying AI tools", "qualificationsPreferred" : "Experience in pharmacy, Experience in provider-facing, Experience in clinical support, Experience with Gemini, Experience with Notion AI", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Sixty million Medicare seniors live with chronic disease. The care system sees most of them twice a year. Cadence is building the infrastructure to support them every day. Cadence is a clinical AI company that delivers continuous, proactive care for older adults with chronic conditions like hypertension, heart failure, and diabetes. We pair patients with a dedicated clinical team, integrate deeply into health system EMRs and workflows, and use our Clinical Intelligence platform to monitor vitals, surface risk early, optimize medications, and close care gaps between visits. The result: patients engage with care 100x more than before Cadence, clinicians focus on judgment instead of administrative work, and Medicare saves $2M a week. We operate as a full clinical care delivery organization, not a software vendor. Our clinicians work alongside health system partners, extending the reach of local primary care providers into patients' homes. We're now applying AI agents across these workflows – from alert review and medication titration to lifestyle coaching and care coordination – with clinicians always in control of clinical decisions. The Role We're hiring a Provider Relationship Manager to own the provider-facing relationship for Cadence's clinical programs. You will serve as the primary point of contact for physician practices and clinic staff, ensuring Cadence integrates seamlessly into provider workflows and delivers measurable impact for patients and health systems. This is a field-first role requiring national travel two to three nights per week to conduct onsite meetings, drive adoption, and represent Cadence directly with clinical and administrative audiences.This role requires frequent roundtrip flights and local driving between clinic sites the within assigned market region. Candidates must be comfortable with a schedule that involves being on the road nearly every week, with limited exceptions during major holiday weeks (e.g., Christmas, Thanksgiving, July 4th, Labor Day, Memorial Day). What You'll Do Own end-to-end deployment of the Cadence solution at the practice level, aligning platform capabilities to existing provider workflows and driving clinician and patient adoption from launch through steady-state. Build and maintain trusted relationships with physicians, care teams, and clinic administrators across assigned health system partners, serving as the primary escalation path and ongoing point of contact. Monitor provider engagement metrics and adoption data, present performance reports at regularly scheduled touchpoints, and use those insights to drive behavior change and improve outcomes at the practice level. Identify and develop expansion opportunities within existing partner organizations, surfacing new patient populations and conditions where Cadence can extend care delivery. Partner with the Partnerships team to develop repeatable processes that enable Cadence to scale efficiently across existing and new health system relationships. Collaborate with internal Product and Care Delivery teams to channel provider feedback into platform improvements, ensuring Cadence continuously improves its technology and services in response to real clinical need. Navigate complex clinical environments with autonomy, diagnosing workflow gaps, escalating where appropriate, and driving resolutions that hold across the partnership. What You Need 3+ years of experience in account management, project leadership, or healthcare customer service in pharmacy, provider-facing, or clinical support environments. Bachelor's degree in healthcare, business, communications, or a related field. Demonstrated ability to build credible relationships with both clinical and administrative audiences and manage multiple stakeholder relationships simultaneously. Track record of exceeding performance targets in field-based, goal-driven environments where outcomes are measured and results are owned end-to-end. Comfort operating independently in a high-travel role - national weekly travel to provider sites two to three nights per week is a non-negotiable requirement; candidates must reside within commutable range of a major airport. Ability to travel regularly for work, including by car, and maintain a valid driver’s license required for business travel. Proficiency with Google Workspace and web-based collaboration tools, with strong analytical skills and a data-driven approach to influencing provider engagement and outcomes. Fluency with AI productivity tools (such as Gemini, Notion AI, or comparable platforms) and comfort applying them to structured workflows, reporting, and process documentation. Compensation Our job titles may span more than one career level. Expected on-target earnings (OTE) for this role typically range between $165,000 - $180,000, depending on experience, skills, seniority, and business needs. Total compensation includes base salary, variable incentive compensation, and equity as part of the overall package. Actual compensation may vary by location. Benefits & Perks Competitive pay & equity* Fully remote Comprehensive health coverage: Medical, dental & vision Paid time off 401k plan + matching Paid parental leave Home office stipend *benefit offerings may vary depending on job profile, job level and worker type Cadence is committed to equal opportunity and fairness regardless of race, color, religion, sex, gender identity, sexual orientation, nation of origin, ancestry, age, physical or mental disability, country of citizenship, medical condition, marital or domestic partner status, family status, family care status, military or veteran status or any other basis protected by local, state or federal laws. A notice to Cadence applicants: Our Talent team only directs candidates to apply through our official careers page at https://www.cadence.care/our-team. Cadence will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. We receive all applications through our website and anyone suggesting otherwise is not with Cadence. If you require a reasonable accommodation during the interview or hiring process, please notify your recruiter.", "summaryDescription" : "Provider Relations Manager at Cadence Solutions. Skills: Provider relations, Clinical program deployment, Health system partnerships. Own end-to-end deployment. Align platform capabilities", "postedDate" : "2026-06-13T20:59:23.368", "createdAt" : "2026-06-13T20:59:23.368", "lastUpdated" : "2026-06-15T07:30:26.935", "ingestTimestamp" : "2026-06-13T20:59:23.368", "mongoId" : "6a2c6b6274d8ee00a0911fd0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 145000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Influencing provider engagement", "Provider relations", "Clinical program deployment", "Health system partnerships", "Account management", "Project leadership", "Customer service", "Stakeholder management", "Performance targets", "Process documentation", "Workflow diagnosis", "Clinical AI", "Chronic conditions", "Hypertension", "Heart failure", "Diabetes", "Medicare", "Health system EMRs", "Clinical Intelligence platform", "Care delivery organization", "Primary care providers", "AI agents", "Clinical workflows", "Provider workflows", "Google Workspace", "Gemini", "Notion AI" ], "skillCount" : 28, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e42bf8b1b0376634c6c9", "title" : "Insights and Measurement Lead", "company" : "Amazon Servicos de Varejo do Brasil Ltda.", "industry" : "Sales, Advertising, Account Management, Professional Services", "salary" : { "min" : 250000.0, "max" : 400000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Insights and Measurement role in Sao Paulo, Brazil, adjusted for the technology industry and onsite work mode." }, "location" : "Sao Paulo, Sao Paulo, BRA", "locations" : [ "Sao Paulo, Sao Paulo, BRA" ], "timestamp" : "2026-06-15T01:15:38.899", "fingerprint" : "da5b7a7ec744849f3a4f158d6390d5984821f202208cdecf30185b6f2cd4ac0d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3076330/apply", "externalId" : "db54b73f-d169-45fd-b915-2bd16cbb9174", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sao Paulo", "state" : "Sao Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "Sao Paulo, Sao Paulo, Brazil", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python, R, SAS, SQL", "professionalSkills" : [ "Data analysis", "Client relationships", "Sales", "Account management", "Retail", "Business partners", "Measurement solutions", "Advertising solutions", "Digital advertising", "Return on investment" ], "hardSkillsList" : [ "Data analysis", "Metric creation", "Statistical techniques", "Regression analysis", "Segmentation", "Machine learning", "Marketing mix modeling", "Attribution frameworks", "Advertising measurement" ], "softSkillsList" : [ "Consultative approach", "Navigate ambiguity", "Solve complex problems", "Thought leadership" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Metric creation", "level" : "intermediate" }, { "name" : "Statistical techniques", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Segmentation", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Marketing mix modeling", "level" : "intermediate" }, { "name" : "Attribution frameworks", "level" : "intermediate" }, { "name" : "Advertising measurement", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Consultative approach" }, { "name" : "Navigate ambiguity" }, { "name" : "Solve complex problems" }, { "name" : "Thought leadership" } ], "majorSkills" : "Insights generation, Measurement strategy, Client relationships", "majorSkillsList" : [ "Insights generation", "Measurement strategy", "Client relationships" ], "coreResponsibilities" : "Leverage data for insights, Generate actionable insights, Own measurement relationships, Partner on learning objectives, Influence business decisions, Present findings consultatively, Collaborate on solutions, Translate concepts to recommendations, Influence sales initiatives, Influence marketing initiatives, Educate stakeholders, Advocate for data-driven decisions, Drive thought leadership, Encourage advertisers to act", "teamCollaboration" : "Internal teams; Cross-functional; Multiple business functions; Multiple geographies; Sales organization; Account management; Retail; Amazon business partners", "domainKnowledge" : "Digital media; AdTech; Advertising; Digital advertising; Advertising measurement; Marketing mix modeling; Attribution frameworks; Statistical techniques; Machine learning", "domainList" : [ "digital-media", "adtech", "advertising", "digital-advertising", "advertising-measurement", "marketing-mix-modeling", "attribution-frameworks", "statistical-techniques", "machine-learning" ], "domainSpecificKnowledge" : [ "Digital media", "AdTech", "Advertising", "Digital advertising", "Advertising measurement", "Marketing mix modeling", "Attribution frameworks", "Statistical techniques", "Machine learning" ], "toolProficiency" : [ "SQL", "Python", "R", "SAS" ], "communicationSkills" : "Presentation skills; Storytelling; Executive presentations", "problemSolvingSkills" : "Solve complex problems; Translate analytical concepts", "outcomesObjectives" : "Deliver best return on investment", "qualificationsBasic" : "Bachelor's degree, 7+ years client-facing data analysis, 5+ years digital media/AdTech, Translate technical analyses, Data-driven storytelling, Presentation skills, Advertising measurement methodologies, Marketing mix modeling, Attribution frameworks, Advanced statistical techniques, Regression analysis, Segmentation, Machine learning, Proficiency in SQL, Analytical tools fluency", "qualificationsPreferred" : "Advanced degree (MBA, Master's), Digital media planning experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Ads operates at the intersection of e-commerce and advertising, offering a rich array of advertising solutions. We partner with advertisers to reach Amazon customers across our owned and operated sites like Prime Video and Twitch, and on other high-quality sites across the web, and on devices. We are currently looking for a highly skilled and motivated Insights and Measurement Lead to help scale our growing advertising business. The Insights and Measurement Lead is a key member of the sales organization at Amazon Ads, taking a consultative approach, building deep relationships with advertisers, sales, account management, retail, and other Amazon business partners to analyze and measure the success of advertisers' performance on Amazon. Key job responsibilities • Leverage Amazon's proprietary data, third-party research, and Ad measurement solutions to generate actionable insights for C-suite marketing leaders. • Own senior-level measurement and insights customer relationships and partner across strategic learning objectives that influence business decision-making • Present findings consultatively, collaborating with internal teams to deliver comprehensive solutions. • Navigate ambiguity, solve complex problems, and translate analytical concepts into actionable recommendations. • Collaborate cross-functionally to influence sales and marketing initiatives across multiple business functions and geographies. • Educate stakeholders on Amazon's insights and measurement offerings through learning sessions, documentation, and whitepapers. • Advocate for data-driven decision-making, driving thought leadership and encouraging advertisers to act on recommendations. A day in the life On a daily basis, Insights and Measurement Lead activities include analyzing and measuring metrics of success for an advertiser business or category, developing data-driven insights and recommendations for executive client leadership, and communicating recommendations in a clear and compelling fashion. The strategic and consultative digital advertising expertise of the Insights and Measurement Lead is critical to delivering the best return on investment for our customers. About the team The Analytics & Insights (A&I) organization leverages Amazon's data to develop actionable insights for advertisers. By providing insights and measurement solutions, A&I enhances marketers' decision-making processes, measurably improving their success on and off Amazon. Basic Qualifications: - Bachelor's degree with 7+ years of experience in client-facing data analysis roles, including 5+ years in digital media/AdTech consulting or advertising with a top agency or brand. - Expertise in translating technical analyses into actionable insights for diverse stakeholders, with excellent data-driven storytelling and presentation skills. - Demonstrated proficiency in advertising measurement methodologies, marketing mix modeling, and attribution frameworks. - Strong understanding of advanced statistical techniques, including regression analysis, segmentation and machine learning. - Proficiency in SQL for complex data manipulation and metric creation, along with fluency in analytical tools (Python, R, SAS, etc.). - Please apply with resume in English Preferred Qualifications: - Advanced degree (MBA, Master's) in Economics, Marketing, Statistics, Advertising, or Business; or equivalent Digital media planning experience. - Experience with advertising publishers, marketing/creative agencies, and campaign management. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Insights and Measurement Lead at Amazon Servicos de Varejo do Brasil Ltda.. Skills: Insights generation, Measurement strategy, Client relationships. Leverage data for insights. Generate actionable insights", "postedDate" : "2026-06-13T07:15:18.470", "createdAt" : "2026-06-13T07:15:18.470", "lastUpdated" : "2026-06-15T01:15:38.899", "ingestTimestamp" : "2026-06-13T07:15:18.470", "mongoId" : "68c2e42bf8b1b0376634c6c9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3076330/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Metric creation", "Statistical techniques", "Regression analysis", "Segmentation", "Machine learning", "Marketing mix modeling", "Attribution frameworks", "Advertising measurement", "Consultative approach", "Navigate ambiguity", "Solve complex problems", "Thought leadership", "Insights generation", "Measurement strategy", "Client relationships", "Sales", "Account management", "Retail", "Business partners", "Measurement solutions", "Advertising solutions", "Digital advertising", "Return on investment", "Digital media", "AdTech", "Advertising", 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"city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "SQL, Python, R, Redshift, NoSQL, Tableau, Quicksight, ETL, LLMs", "professionalSkills" : [ "Business intelligence", "Data modeling", "ETL pipelines", "Statistical analysis", "Data visualization", "Pricing strategy", "Promotions strategy", "Anomaly detection", "Business strategy", "Data infrastructure", "Data quality", "Data solutions" ], "hardSkillsList" : [ "Data analysis", "Data modeling", "ETL development", "Data visualization", "Statistical analysis", "Metric development", "SQL querying", "Python scripting", "Anomaly detection", "Reporting systems", "Dashboard creation", "Data quality implementation", "Data solution architecture" ], "softSkillsList" : [ "Curiosity", "Customer obsession", "Entrepreneurial spirit" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "ETL development", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Metric development", "level" : "intermediate" }, { "name" : "SQL querying", "level" : "intermediate" }, { "name" : "Python scripting", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "Reporting systems", "level" : "intermediate" }, { "name" : "Dashboard creation", "level" : "intermediate" }, { "name" : "Data quality implementation", "level" : "intermediate" }, { "name" : "Data solution architecture", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curiosity" }, { "name" : "Customer obsession" }, { "name" : "Entrepreneurial spirit" } ], "majorSkills" : "Business intelligence, Data engineering, Analytics", "majorSkillsList" : [ "Business intelligence", "Data engineering", "Analytics" ], "coreResponsibilities" : "Spearhead business intelligence initiatives, Develop advanced analytical metrics, Develop advanced analytical models, Present compelling insights, Present recommendations to senior leadership, Harness LLMs, Generate business impacting insights, Lead data-driven discussions, Pioneer new methodologies, Design automated reporting systems, Create intuitive dashboards, Transform complex data, Innovate tools, Simplify processes, Enhance back-end data sources, Improve accuracy, Streamline operations, Implement data quality best practices, Implement modeling best practices, Architect scalable data solutions, Craft compelling narratives from data, Develop effective metrics, Collaborate across teams, Drive adoption of data-driven strategies, Champion a culture of innovation, Seek ways to improve, Seek ways to automate, Stay at forefront of BI trends, Bring developing technologies, Mentor colleagues, Elevate team capabilities", "teamCollaboration" : "Cross-functional teams; Product teams; Across teams", "domainKnowledge" : "Pricing; Promotions; Retail pricing; Customer behavior; Market dynamics", "domainList" : [ "pricing", "promotions", "retail-pricing", "customer-behavior", "market-dynamics" ], "domainSpecificKnowledge" : [ "Pricing", "Promotions", "Retail pricing", "Customer behavior", "Market dynamics" ], "toolProficiency" : [ "Tableau", "Quicksight", "Redshift", "Python" ], "communicationSkills" : "Presenting insights; Presenting recommendations; Crafting narratives", "continuousLearning" : "Learning new technologies; Stay at forefront of BI trends", "innovationCreativity" : "Innovate in fast-paced environment; Pioneer new methodologies; Innovate tools; Innovate processes; Culture of innovation", "problemSolvingSkills" : "Solving complex problems; Simplify complex problems", "outcomesObjectives" : "Drive pricing and promotions decisions; Shape business strategy; Drive customer satisfaction; Influence business growth; Enhance customer experience; Drive efficiency; Maximize impact; Improve accuracy; Streamline operations; Grow with the business; Influence key stakeholders; Shape future of pricing; Shape future of promotions; Drive adoption of strategies; Improve and automate; Elevate team capabilities; Impact customer experience; Impact business growth", "qualificationsBasic" : "3+ years analyzing data, Experience with Redshift, Experience with Oracle, Experience with NoSQL, Experience as BIE, Experience with Tableau, Experience with Quicksight, Experience with data modeling, Experience with warehousing, Experience building ETL, Experience with R, Experience with SAS, Experience with Matlab, Experience developing metrics, Experience presenting recommendations, Experience using SQL, Scripting experience (Python), Bachelors Degree", "qualificationsPreferred" : "Experience with EC2, Experience with DynamoDB, Experience with S3, Experience with Redshift, Experience in data mining, Experience with ETL, Experience using databases, Experience with large-scale datasets, Experience with complex datasets", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Shape How Amazon Serves Millions Through Pricing and Promotions Ready to transform how customers experience Amazon? Join our Pricing & Promotions Science, Data, and Insights team, where your analytical expertise will directly influence pricing and promotions decisions that impact millions of customers globally. Your Impact As a Business Intelligence Engineer, you'll be at the heart of Amazon's data-driven culture, building automated analytics tools that power intelligent pricing and promotions decisions. Your insights will shape strategy, drive customer satisfaction, and influence business growth across one of Amazon's most critical functions. What Makes You a Great Fit - You're a hands-on engineer who thrives on solving complex problems - You have an insatiable curiosity and love learning new technologies - You see opportunities where others see challenges - You build trust through delivery and customer obsession - You bring an entrepreneurial spirit to everything you do What You'll Create - Automated analytics systems that drive pricing and promotions decisions - Sophisticated anomaly detection tools - Data-driven insights that shape business strategy - Solutions that simplify complex problems - Tools that enhance customer experience Why This Role - Direct impact on Amazon's core business decisions - Opportunity to innovate in a fast-paced environment - Work with advanced analytics technologies - Shape the future of retail pricing and promotions - Join a team that values curiosity and creativity Transform data into decisions that matter. Join us in making Amazon the most customer-centric company through intelligent pricing solutions. Key job responsibilities Drive Strategic Insights - Spearhead business intelligence initiatives that directly impact Amazon's pricing and promotions strategy - Develop advanced analytical metrics and models to uncover hidden business opportunities - Present compelling insights and recommendations to senior leadership, influencing key decisions Innovate with Advanced Analytics - Harness the power of Large Language Models (LLMs) to generate business impacting insights - Lead data-driven discussions with Product teams to accelerate growth - Pioneer new methodologies in pricing and promotions analytics, setting industry standards Build Scalable Solutions - Design and implement automated reporting systems that drive efficiency - Create intuitive dashboards that transform complex data into clear, actionable insights - Continuously innovate and simplify tools and processes, maximizing impact Optimize Data Infrastructure - Enhance back-end data sources to improve accuracy and streamline operations - Implement best practices in data quality and modeling - Architect scalable data solutions that grow with the business Influence Through Communication - Craft compelling narratives from data, influencing key stakeholders - Develop effective metrics that shape the future of Amazon's pricing and promotions - Collaborate across teams to drive adoption of data-driven strategies Lead Continuous Improvement - Champion a culture of innovation, constantly seeking ways to improve and automate - Stay at the forefront of BI trends, bringing developing technologies to the team - Mentor colleagues in advanced analytics techniques, elevating team capabilities In this role, you'll be at the forefront of shaping how Amazon prices and promotes products globally. Your analytical expertise will directly impact customer experience and business growth, making you a key player in Amazon's mission to be Earth's most customer-centric company. About the team The Pricing and Promotions (P2) Science, Data and Insights team is at the forefront of Amazon's data revolution, orchestrating a sophisticated ecosystem with hundreds of PBs of data and thousands of active datasets that empower business leaders to create exceptional customer experiences through data-driven pricing and promotional strategies. Our team combines deep engineering expertise with business acumen to manage mission-critical data and insights that influence billions in revenue decisions, while pioneering innovative approaches that transform how Amazon understands customer behavior and market dynamics. Our strength comes from the diverse perspectives and backgrounds of our team members, who bring unique problem-solving approaches to these complex challenges. We're currently implementing an ambitious three-year transformation strategy that will fundamentally reshape how Amazon makes pricing and promotional decisions, focusing on intelligent automation and proactive insights that drive business outcomes. Beyond managing science, data, and insights, we're true strategic partners who translate complex information into actionable intelligence that shapes Amazon's direction across global marketplaces. If you're passionate about solving complex business problems at massive scale while working in a collaborative culture that values both analytical rigor and business impact, you'll find compelling opportunities to grow and make a meaningful difference on our team. Basic Qualifications: - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience working as a BIE in a technology company - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Bachelors Degree Preferred Qualifications: - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary for this position ranges from $76,400/year up to $127,600/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.", "summaryDescription" : "Business Intelligence Engineer, P2 Science, Data, and Insights at Amazon Development Centre Canada ULC. Skills: Business intelligence, Data engineering, Analytics. Spearhead business intelligence initiatives. Develop advanced analytical metrics", "postedDate" : "2026-06-13T15:15:17.936", "createdAt" : "2026-06-13T15:15:17.936", "lastUpdated" : "2026-06-15T09:55:25.379", "ingestTimestamp" : "2026-06-13T15:15:17.936", "mongoId" : "68c2e43bf8b1b0376634c92b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3071384/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data modeling", "ETL development", "Data visualization", "Statistical analysis", "Metric development", "SQL querying", "Python scripting", "Anomaly detection", "Reporting systems", "Dashboard creation", "Data quality implementation", "Data solution architecture", "Curiosity", "Customer obsession", "Entrepreneurial spirit", "Business intelligence", "Data engineering", "Analytics", "ETL pipelines", "Pricing strategy", "Promotions strategy", "Business strategy", "Data infrastructure", "Data quality", "Data solutions", "Pricing", "Promotions", "Retail pricing", "Customer behavior", "Market dynamics", "Tableau", "Quicksight", "Redshift", "Python" ], "skillCount" : 35, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a3055f1f292fd229cf23389", "title" : "Support and Data Operations Associate (Fixed-term)", "company" : "Foursquare", "industry" : "Finance", "salary" : { "min" : 1000000.0, "max" : 1500000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Support and Data Operations Associate in Belgrade, Serbia, adjusted for the technology industry and company size." }, "location" : "Serbia", "locations" : [ "Serbia" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:56:17.647", "fingerprint" : "aaf5559b6dd261874f5f77a1afd61a6fd75d245824898322671fec42e45798b8", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/foursquare/b98303fd-481a-4f08-9feb-451f7c9b179e/application", "externalId" : "b98303fd-481a-4f08-9feb-451f7c9b179e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Belgrade", "country" : "Serbia", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "44.8153318,20.4456588" } ], "locationText" : "Belgrade, Serbia", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Metabase, Superset, Qlik, MicroStrategy, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, S3, Glue, SageMaker, Athena, Vertex AI, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "Machine learning", "Business intelligence", "Data analytics", "Quantitative analysis", "Data modelling" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "toolProficiency" : [ "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure", "S3", "Glue", "SageMaker", "Athena", "Vertex AI", "Synapse", "ML Studio" ], "qualificationsBasic" : "SQL proficiency, 5+ years of experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow, Experience with Snowflake, Experience with BigQuery, Experience with Redshift, Experience with Databricks, Experience with dbt, Experience with Fivetran, Experience with Airflow, Experience with dbt Cloud, Experience with Delta Lake, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Foursquare Foursquare is the leading independent location technology and data cloud platform, helping businesses connect the digital and physical worlds with precision and purpose. Our products power everything from market analytics to targeted experiences, relied on by some of the world’s most iconic brands. But what makes Foursquare truly special is how we work. We're a team of builders, problem-solvers, and collaborators who care deeply about impact – both in the products we ship and the way we show up for each other. Great outcomes come from strong collaboration and shared ownership, and we believe growth happens through real challenges – whether that’s leveling up a skill, tackling unfamiliar problems, or pushing a project forward in a new way. If you're excited by cutting-edge tech and a culture that values both autonomy and teamwork, you’ll thrive here. About the Position Foursquare is looking for a Support and Data Operations Associate to join our team in our Belgrade office; on a hybrid schedule of Tuesday, Wednesday, Thursday in office. We are looking for an inquisitive, adaptable, and highly motivated Data Support Associate to join our team. In this role, you will be primarily focused on executing web crawls, manipulating data, and utilizing internal pipeline tools to ensure data quality and availability. This is an internally focused, highly technical role where persistence, vigilance, and the ability to learn and iterate quickly are essential. If you enjoy solving technical puzzles, building and maintaining data flows, and continuously learning new skills, we want you on our team! Please note that this is a fixed-term position for an initial period of one year, with the possibility of extension. In this role, you’ll - Web Crawling & Extraction: Execute and manage web crawling initiatives, extracting data, and adapting quickly when target site structures change. - Data Manipulation & Pipelines: Utilize internal tools to perform data cleanup, matching, and transformations to ensure high data quality and reliability. - Technical Troubleshooting: Be vigilant in monitoring data pipelines; investigate issues, read and interpret log files, implement workarounds, and escalate complex technical problems. - Continuous Improvement: Learn and adapt to new internal tools and technical processes rapidly, iterating on existing workflows to improve efficiency. - Documentation: Create and maintain technical process documentation and how-to guides to empower internal teams What you’ll need - Proficient level of written and verbal English - 1+ years of experience working in data-oriented customer operations, technical support, analytics, or similar roles. - Proficiency in Python or Scala, with strong SQL skills. - Proficiency in Regular Expressions (Regex) for pattern matching, data extraction, validation, and web content processing. - Familiarity with data analysis tools and libraries (e.g., PySpark, pandas), web crawling concepts and execution. - General technical troubleshooting skills: ability to read/interpret/transform log files, comfort navigating command-line interfaces (CLI) and APIs, and a strong capacity for independent research. - Your own unique talents! If you don’t meet 100% of the qualifications outlined above, we encourage and welcome you to still apply! Benefits and Perks - 25 days of paid vacation – take the time you need to rest and recharge - Private medical insurance – comprehensive coverage for you and your family - FitPass – flexible access to gyms, wellness classes, and sports facilities across Serbia - Hybrid work schedule – in-person collaboration Tuesday–Thursday, with company-paid lunch on office days - Growth Investment Program – funding and resources to support your personal and professional development - Tech setup – we’ll provide a company laptop and the essentials to help you get up and running smoothly Things to Know Foursquare is proud to foster an inclusive environment, free from discrimination. We believe that building the best products starts with bringing together diverse perspectives and backgrounds — it’s how we create better experiences for both our users and our team. We value every voice, and we encourage you to be part of building a company and products we love. Foursquare is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Foursquare Privacy Policy https://location.foursquare.com/legal/privacy-center/applicant/", "summaryDescription" : "Support and Data Operations Associate (Fixed-term) at Foursquare. Skills: Data science, Data engineering, Machine learning, Business intelligence", "createdAt" : "2026-06-16T00:29:26.610", "lastUpdated" : "2026-06-16T08:56:17.647", "ingestTimestamp" : "2026-06-16T00:29:26.610", "mongoId" : "6a3055f1f292fd229cf23389", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Data analytics", "Quantitative analysis", "Data modelling", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure", "S3", "Glue", "SageMaker", "Athena", "Vertex AI", "Synapse", "ML Studio" ], "skillCount" : 60, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306afff292fd229cfceb63", "title" : "Sr Manager, Distribution Insights and Analytics", "company" : "NBCUniversal", "industry" : "Entertainment", "salary" : { "min" : 120000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NEW YORK, United States", "locations" : [ "New York", "NEW YORK", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T09:18:42.965", "fingerprint" : "afaa085e21ddbf0c4130a3767da4a46bd58a9db2da6ebd7e96afc025017dff0f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NBCUniversal3/744000132217389-sr-manager-distribution-insights-and-analytics", "externalId" : "744000132217389", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, Tableau, Power BI, Looker", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data engineering", "Machine learning", "Business intelligence", "Statistical modeling", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data analytics, Machine learning, Business intelligence, Data engineering", "majorSkillsList" : [ "Data analytics", "Machine learning", "Business intelligence", "Data engineering" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and optimize data models, Design and implement BI solutions, Perform statistical analysis, Develop and deploy machine learning models, Collaborate with stakeholders to understand data needs, Communicate insights and recommendations, Ensure data quality and integrity", "teamCollaboration" : "Cross-functional teams; Stakeholders", "domainKnowledge" : "Data science; Data engineering; Machine learning; Business intelligence; Analytics engineering; Quantitative analysis; Cloud data stacks; ML frameworks; BI platforms; Statistical methods; Modelling skills", "domainList" : [ "data-science", "data-engineering", "machine-learning", "business-intelligence", "analytics-engineering", "quantitative-analysis", "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods", "modelling-skills" ], "domainSpecificKnowledge" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Modelling skills" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "AWS", "GCP", "Azure", "SageMaker", "Vertex AI", "Synapse", "ML Studio", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Communicate insights; Communicate recommendations", "problemSolvingSkills" : "Data analysis; Statistical analysis; Troubleshooting", "qualificationsBasic" : "5+ years of experience in data analytics or related field, Proficiency in SQL, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "Master's degree preferred, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with BI tools (Tableau, Power BI, Looker)", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. About Platform Distribution & Partnerships: Platform Distribution and Partnerships is a division of NBCUniversal's media group responsible for the distribution and monetization of the company’s multi-billion-dollar linear and streaming services portfolio to pay-tv providers, NBC broadcast affiliates, consumer technology platforms and devices, and consumer brands. A key revenue-generator, the division is comprised of content distribution, affiliate relations and strategic partnerships across NBC, Peacock, Bravo, Telemundo and various FAST channels This is a unique and outstanding opportunity that offers exposure to all aspects of the NBC Network. The Affiliate Relations Division liaises between the NBC Network/Peacock and the 200+ NBC Affiliate Local Stations around the US. This includes working with Entertainment, Sports, News and Peacock. The Sr. Manager will lead the insights and analytics function for the division, focusing on the evolution of consumer viewing habits across linear and streaming platforms. The efforts will inform NBC’s broadcast distribution strategy across partners and platforms. The ideal candidate is a self-starter that can leverage a wide range of data tools to support high-visibility projects. Responsibilities * Responsible for supporting all ratings/data requests (recurring and ad-hoc) for Affiliate Relations team and larger Platform Distribution & Partnerships organization * Leverage data sources to develop internal presentations and client sales materials for critical affiliate deals * Develop frameworks for evaluating viewership of NBC/competitor content across platforms (Pay-TV, over-the-air, FAST) to shape competitive positioning * Work with leadership, communications, PR and other teams to support the development of materials for clients and industry platforms * Represent Affiliate Relations/Broadcast perspective when working on initiatives with vendors (i.e. Nielsen) and broader Decision Sciences organization * Work across NBCU departments to manage platforms and databases housing key station/market information such as ratings and clearances * Support Affiliate Reps in managing daily affiliate station relationships, with a focus on driving operational consistency ## Qualifications Qualifications * 6+ years of experience in insights, strategy, consulting or a related function * 3+ years of experience in measurement, analytics or insights at a media company (station, network, data platform) * Expertise in Media research platforms such as Nielsen, comScore, SNL Kagan, Adobe, Antenna * Expert Excel skills and experience compiling, transforming, and modeling stories using large datasets * Experience crafting compelling PowerPoint presentations that tell meaningful stories with data * Familiarity working with visualization tools (ex. Tableau) * Superior organizational and administrative skills with the ability to multi-task and prioritize work required * Excellent verbal and written communication skills with all levels both internal and external Additional Requirements: * Hybrid: This position currently has a hybrid schedule, which requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time. * This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. * Sr. Manager Salary range: $120,000 - $145,000 (Bonus Eligible) ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.", "summaryDescription" : "Sr Manager, Distribution Insights and Analytics at NBCUniversal. Skills: Data analytics, Machine learning, Business intelligence, Data engineering. Develop and maintain data pipelines. Build and optimize data models", "postedDate" : "2026-06-15T14:25:16.000", "createdAt" : "2026-06-16T00:14:42.954", "lastUpdated" : "2026-06-16T09:18:42.965", "ingestTimestamp" : "2026-06-16T00:14:42.954", "mongoId" : "6a306afff292fd229cfceb63", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data engineering", "Machine learning", "Business intelligence", "Statistical modeling", "A/B testing", "Causal inference", "Data analytics", "Data modeling", "Statistical analysis", "Quantitative analysis", "Data science", "Analytics engineering", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Modelling skills", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "AWS", "GCP", "Azure", "SageMaker", "Vertex AI", "Synapse", "ML Studio", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "skillCount" : 52, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a304ff3f292fd229ceeb334", "title" : "Sr Manager, Distribution Insights and Analytics", "company" : "NBCUniversal", "industry" : "Entertainment", "salary" : { "min" : 120000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NEW YORK, United States", "locations" : [ "New York", "NEW YORK", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:45:12.856", "fingerprint" : "55427dd654eb7d917189288e6c25472957d891875ce5f91427c51d29ab5b8218", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NBCUniversal3/744000132217389-sr-manager-distribution-insights-and-analytics", "externalId" : "744000132217389", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio, Tableau, Power BI, Looker", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data modeling", "Statistical methods", "Machine learning", "Data engineering", "Business intelligence", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, Data Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and deploy machine learning models, Create and manage BI dashboards, Perform data analysis and generate insights, Collaborate with stakeholders to understand data needs, Ensure data quality and integrity, Stay current with industry trends and technologies", "teamCollaboration" : "Cross-functional teams; Stakeholders", "domainKnowledge" : "Data warehousing; Cloud data stacks; ML frameworks; BI platforms; Statistical modelling", "domainList" : [ "data-warehousing", "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-modelling" ], "domainSpecificKnowledge" : [ "Data warehousing", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical modelling" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch" ], "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years of experience in analytics or data science, Proficiency in SQL, Experience with Python or R, Experience with data visualization tools", "qualificationsPreferred" : "Master's degree in a quantitative field, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with data warehousing solutions (Snowflake, BigQuery, Redshift), Experience with BI platforms (Tableau, Power BI, Looker)", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. About Platform Distribution & Partnerships: Platform Distribution and Partnerships is a division of NBCUniversal's media group responsible for the distribution and monetization of the company’s multi-billion-dollar linear and streaming services portfolio to pay-tv providers, NBC broadcast affiliates, consumer technology platforms and devices, and consumer brands. A key revenue-generator, the division is comprised of content distribution, affiliate relations and strategic partnerships across NBC, Peacock, Bravo, Telemundo and various FAST channels This is a unique and outstanding opportunity that offers exposure to all aspects of the NBC Network. The Affiliate Relations Division liaises between the NBC Network/Peacock and the 200+ NBC Affiliate Local Stations around the US. This includes working with Entertainment, Sports, News and Peacock. The Sr. Manager will lead the insights and analytics function for the division, focusing on the evolution of consumer viewing habits across linear and streaming platforms. The efforts will inform NBC’s broadcast distribution strategy across partners and platforms. The ideal candidate is a self-starter that can leverage a wide range of data tools to support high-visibility projects. Responsibilities * Responsible for supporting all ratings/data requests (recurring and ad-hoc) for Affiliate Relations team and larger Platform Distribution & Partnerships organization * Leverage data sources to develop internal presentations and client sales materials for critical affiliate deals * Develop frameworks for evaluating viewership of NBC/competitor content across platforms (Pay-TV, over-the-air, FAST) to shape competitive positioning * Work with leadership, communications, PR and other teams to support the development of materials for clients and industry platforms * Represent Affiliate Relations/Broadcast perspective when working on initiatives with vendors (i.e. Nielsen) and broader Decision Sciences organization * Work across NBCU departments to manage platforms and databases housing key station/market information such as ratings and clearances * Support Affiliate Reps in managing daily affiliate station relationships, with a focus on driving operational consistency ## Qualifications Qualifications * 6+ years of experience in insights, strategy, consulting or a related function * 3+ years of experience in measurement, analytics or insights at a media company (station, network, data platform) * Expertise in Media research platforms such as Nielsen, comScore, SNL Kagan, Adobe, Antenna * Expert Excel skills and experience compiling, transforming, and modeling stories using large datasets * Experience crafting compelling PowerPoint presentations that tell meaningful stories with data * Familiarity working with visualization tools (ex. Tableau) * Superior organizational and administrative skills with the ability to multi-task and prioritize work required * Excellent verbal and written communication skills with all levels both internal and external Additional Requirements: * Hybrid: This position currently has a hybrid schedule, which requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time. * This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. * Sr. Manager Salary range: $120,000 - $145,000 (Bonus Eligible) ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.", "summaryDescription" : "Sr Manager, Distribution Insights and Analytics at NBCUniversal. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and maintain data pipelines. Build and deploy machine learning models", "postedDate" : "2026-06-15T14:25:16.000", "createdAt" : "2026-06-15T21:41:18.491", "lastUpdated" : "2026-06-16T08:45:12.856", "ingestTimestamp" : "2026-06-15T21:41:18.491", "mongoId" : "6a304ff3f292fd229ceeb334", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data modeling", "Statistical methods", "Machine learning", "Data engineering", "Business intelligence", "A/B testing", "Causal inference", "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence", "Statistical analysis", "Quantitative analysis", "Data warehousing", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical modelling", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch" ], "skillCount" : 39, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2176b974d8ee00a0c1aae8", "title" : "Data Engineer, Sales Insights, Analytics, Data Engineering and Science (SIADS)", "company" : "Amazon Web Services Singapore Private Limited", "industry" : "Corporate Operations, Sales Operations Job Family, Cloud Computing", "salary" : { "min" : 145000.0, "max" : 220000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data Engineers in Singapore, adjusted for a large technology company in the tech industry." }, "location" : "SGP", "locations" : [ "SGP" ], "timestamp" : "2026-06-15T03:12:27.872", "fingerprint" : "e743dd4970a06dddb44853c58cb6544861b6823695ae01c55858ea95f7178c57", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10439385/apply", "externalId" : "0f14592e-9a1e-48c1-83bd-1045ad55e48a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, AWS, Spark, AWS Glue", "professionalSkills" : [ "Data engineering", "Business intelligence", "Regional strategy", "Data models", "Analytical platforms", "Data quality", "Data governance" ], "hardSkillsList" : [ "Data transformation", "Data pipelines", "Cloud computing", "ETL processes", "Data ingestion", "Data quality validation" ], "hardSkills" : [ { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "Data quality validation", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Data analytics, Data infrastructure", "majorSkillsList" : [ "Data engineering", "Data analytics", "Data infrastructure" ], "coreResponsibilities" : "Own design, development, and maintenance of data analytics, Build and maintain APJ-specific data models and pipelines, Validate data quality against WW business standards, Design and maintain backend data infrastructure for analytics, Implement ETL processes, Develop monitoring capabilities for data quality and query, Collaborate on design and delivery of metrics, reports,, Ensure pipelines and data products meet requirements, Maintain compliance with information security policies, Maintain compliance with data governance standards", "teamCollaboration" : "Partnering with key stakeholders; Cross-functional agile teams; Regional leadership", "domainKnowledge" : "Sales operations; Finance; Business logic; Analytical requirements; Information security; Data governance", "domainList" : [ "sales-operations", "finance", "business-logic", "analytical-requirements", "information-security", "data-governance" ], "domainSpecificKnowledge" : [ "Sales operations", "Finance", "Business logic", "Analytical requirements", "Information security", "Data governance" ], "toolProficiency" : [ "SQL", "AWS", "Terraform", "CloudFormation", "CDK", "Apache Spark", "AWS Glue" ], "communicationSkills" : "Written communication; Verbal communication", "problemSolvingSkills" : "Data-driven decision making", "outcomesObjectives" : "Deliver data products that matter; Power SMGS business insights; Keep platforms reliable and responsive; Drive key business decisions", "qualificationsBasic" : "Written and verbal communication skills, Competent in performing data transformation using SQL, Experienced in managing and maintaining data pipelines, Proficient in cloud computing platforms (e.g., AWS)", "qualificationsPreferred" : "Experienced in Infrastructure-as-Code, Skilled in designing system solutions at scale, Knowledgeable in Apache Spark, Proficient in serverless ETL using AWS Glue, Skilled in automating data quality validation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join the cloud platform trusted by millions worldwide and own the data infrastructure that powers strategic business decisions across Asia Pacific and Japan (APJ). This is a hands-on, technically demanding role for an experienced data engineer who is passionate about building robust data products that enable teams to measure and grow the business. You will be part of a team that operates at the intersection of data engineering, business intelligence, and regional strategy, partnering with key stakeholders (e.g. Sales, Sales Operations, Finance, etc.), and regional leadership to deliver data products that matter. If you thrive in a fast-paced, high-growth environment where ownership, technical depth, and business judgement are equally valued — and where your pipelines, data models, and analytics platforms will serve field teams across key verticals and business units across APJ — this role is for you. Key job responsibilities - Own the design, development, and maintenance of the APJ SIADS' data analytics platform, including data pipelines, data lakes, and analytical and visualisation platforms that power SMGS business insights - Build and maintain APJ-specific data models and pipelines, ensuring alignment between worldwide definitions and APJ business logic, and validating data quality against WW business standards - Design and maintain the backend data infrastructure for end-user last-mile analytics tools, implementing ETL processes that ensure data is clean, fresh, and optimised for APJ analytical requirements - Develop monitoring capabilities for data quality and query performance to keep platforms reliable and responsive - Collaborate on the design and delivery of metrics, reports, analyses, and dashboards that drive key business decisions across APJ, in partnership with key stakeholders e.g., Sales, Sales Operations, Finance, etc. - Ensure pipelines and data products meet the requirements of field teams across key verticals and business units - Maintain compliance with information security policies and data governance standards for all infrastructure and software used by the team About the team The Sales Insights, Analytics, Data Engineering & Science (SIADS) organisation builds the data infrastructure and analytics products that power business decisions across AWS' Sales, Marketing, and Global Services (SMGS) organisation. We sit at the intersection of engineering and business strategy, partnering with key stakeholders (e.g., Sales, Sales Operations, Finance, etc.) to ensure the right data reaches the right people at the right time. Operating across time zones with both global and regional depth, we value technical excellence, sound business judgement, and clear communication. Amazon's data-driven culture starts here — and your work will be central to it. Basic Qualifications: - Strong written and verbal communication skills - Competent in performing data transformation using SQL - Experienced in managing and maintaining data pipelines - Proficient in cloud computing platforms (e.g., AWS) Preferred Qualifications: - Experienced in Infrastructure-as-Code (e.g., Terraform, CloudFormation, CDK) - Skilled in designing system solutions at scale - Knowledgeable in Apache Spark for large-scale data workloads - Proficient in serverless ETL using AWS Glue for data ingestion, transformation, and cataloguing - Skilled in automating data quality validation to detect anomalies and enforce data integrity Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Data Engineer, Sales Insights, Analytics, Data Engineering and Science (SIADS) at Amazon Web Services Singapore Private Limited. Skills: Data engineering, Data analytics, Data infrastructure. Own design, development, and maintenance of data analytics. 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Cross-functional teams", "domainKnowledge" : "Pricing; Promotions; Retail pricing; Customer behavior; Market dynamics", "domainList" : [ "pricing", "promotions", "retail-pricing", "customer-behavior", "market-dynamics" ], "domainSpecificKnowledge" : [ "Pricing", "Promotions", "Retail pricing", "Customer behavior", "Market dynamics" ], "toolProficiency" : [ "Tableau", "Quicksight", "R", "SAS", "Matlab", "Python" ], "communicationSkills" : "Presenting insights; Crafting narratives", "continuousLearning" : "Learning new technologies", "innovationCreativity" : "Innovate; Pioneer new methodologies; Simplify tools; Innovation culture", "problemSolvingSkills" : "Solving complex problems; Data-driven decision making", "outcomesObjectives" : "Drive pricing and promotions decisions; Shape business strategy; Enhance customer experience; Drive business growth; Improve accuracy; Streamline operations; Maximize impact", "qualificationsBasic" : "3+ years analyzing data, Experience as BIE, Data visualization experience, Data modeling experience, ETL pipeline experience, Statistical Analysis experience, Develop new metrics, SQL data pulling, Python scripting experience, Bachelors Degree", "qualificationsPreferred" : "AWS solutions experience, Data mining experience, Large-scale datasets experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Shape How Amazon Serves Millions Through Pricing and Promotions Ready to transform how customers experience Amazon? Join our Pricing & Promotions Science, Data, and Insights team, where your analytical expertise will directly influence pricing and promotions decisions that impact millions of customers globally. Your Impact As a Business Intelligence Engineer, you'll be at the heart of Amazon's data-driven culture, building automated analytics tools that power intelligent pricing and promotions decisions. Your insights will shape strategy, drive customer satisfaction, and influence business growth across one of Amazon's most critical functions. What Makes You a Great Fit - You're a hands-on engineer who thrives on solving complex problems - You have an insatiable curiosity and love learning new technologies - You see opportunities where others see challenges - You build trust through delivery and customer obsession - You bring an entrepreneurial spirit to everything you do What You'll Create - Automated analytics systems that drive pricing and promotions decisions - Sophisticated anomaly detection tools - Data-driven insights that shape business strategy - Solutions that simplify complex problems - Tools that enhance customer experience Why This Role - Direct impact on Amazon's core business decisions - Opportunity to innovate in a fast-paced environment - Work with advanced analytics technologies - Shape the future of retail pricing and promotions - Join a team that values curiosity and creativity Transform data into decisions that matter. Join us in making Amazon the most customer-centric company through intelligent pricing solutions. Key job responsibilities Drive Strategic Insights - Spearhead business intelligence initiatives that directly impact Amazon's pricing and promotions strategy - Develop advanced analytical metrics and models to uncover hidden business opportunities - Present compelling insights and recommendations to senior leadership, influencing key decisions Innovate with Advanced Analytics - Harness the power of Large Language Models (LLMs) to generate business impacting insights - Lead data-driven discussions with Product teams to accelerate growth - Pioneer new methodologies in pricing and promotions analytics, setting industry standards Build Scalable Solutions - Design and implement automated reporting systems that drive efficiency - Create intuitive dashboards that transform complex data into clear, actionable insights - Continuously innovate and simplify tools and processes, maximizing impact Optimize Data Infrastructure - Enhance back-end data sources to improve accuracy and streamline operations - Implement best practices in data quality and modeling - Architect scalable data solutions that grow with the business Influence Through Communication - Craft compelling narratives from data, influencing key stakeholders - Develop effective metrics that shape the future of Amazon's pricing and promotions - Collaborate across teams to drive adoption of data-driven strategies Lead Continuous Improvement - Champion a culture of innovation, constantly seeking ways to improve and automate - Stay at the forefront of BI trends, bringing developing technologies to the team - Mentor colleagues in advanced analytics techniques, elevating team capabilities In this role, you'll be at the forefront of shaping how Amazon prices and promotes products globally. Your analytical expertise will directly impact customer experience and business growth, making you a key player in Amazon's mission to be Earth's most customer-centric company. About the team The Pricing and Promotions (P2) Science, Data and Insights team is at the forefront of Amazon's data revolution, orchestrating a sophisticated ecosystem with hundreds of PBs of data and thousands of active datasets that empower business leaders to create exceptional customer experiences through data-driven pricing and promotional strategies. Our team combines deep engineering expertise with business acumen to manage mission-critical data and insights that influence billions in revenue decisions, while pioneering innovative approaches that transform how Amazon understands customer behavior and market dynamics. Our strength comes from the diverse perspectives and backgrounds of our team members, who bring unique problem-solving approaches to these complex challenges. We're currently implementing an ambitious three-year transformation strategy that will fundamentally reshape how Amazon makes pricing and promotional decisions, focusing on intelligent automation and proactive insights that drive business outcomes. Beyond managing science, data, and insights, we're true strategic partners who translate complex information into actionable intelligence that shapes Amazon's direction across global marketplaces. If you're passionate about solving complex business problems at massive scale while working in a collaborative culture that values both analytical rigor and business impact, you'll find compelling opportunities to grow and make a meaningful difference on our team. Basic Qualifications: - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience working as a BIE in a technology company - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Bachelors Degree Preferred Qualifications: - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary for this position ranges from $76,400/year up to $127,600/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.", "summaryDescription" : "Business Intelligence Engineer, P2 Science, Data, and Insights at Amazon Development Centre Canada ULC. Skills: Business intelligence, Data engineering, Analytics. Spearhead business intelligence initiatives. Develop analytical metrics and models", "postedDate" : "2026-06-13T08:30:29.501", "createdAt" : "2026-06-13T08:30:29.501", "lastUpdated" : "2026-06-15T01:05:27.815", "ingestTimestamp" : "2026-06-13T08:30:29.501", "mongoId" : "68c2e43bf8b1b0376634c92a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3071381/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data visualization", "Data modeling", "ETL", "Statistical analysis", "SQL", "Python scripting", "Curiosity", "Customer obsession", "Entrepreneurial spirit", "Business intelligence", "Data engineering", "Analytics", "Pricing strategy", "Promotions strategy", "ETL pipelines", "Anomaly detection", "Business strategy", "Data infrastructure", "Data quality", "Pricing", "Promotions", "Retail pricing", "Customer behavior", "Market dynamics", "Tableau", "Quicksight", "R", "SAS", "Matlab", "Python" ], "skillCount" : 31, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2cae8c74d8ee00a09d5338", "title" : "Reward and EVP Partner", "company" : "Together", "industry" : "Financial Services", "salary" : { "min" : 60000.0, "max" : 85000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Reward and EVP Partner in Financial Services in Cheadle, United Kingdom, adjusted for company size and industry." }, "location" : "Cheadle, England, United Kingdom", "locations" : [ "Cheadle", "England", "United Kingdom" ], "timestamp" : "2026-06-15T04:54:58.652", "fingerprint" : "969ff32ebaec8ffde150cb169905ae6fac4890364c3f3fdedc55f8a60a2e95b7", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Together/744000131462319-reward-and-evp-partner", "externalId" : "744000131462319", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cheadle", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "53.3936441,-2.2122068" } ], "locationText" : "Cheadle, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Job evaluation", "Market benchmarking", "Benefits administration", "Payroll reconciliation", "Budgeting cycles" ], "hardSkillsList" : [ "Data modelling", "Reporting" ], "hardSkills" : [ { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "majorSkills" : "Reward programs, Benefits administration, HR analytics", "majorSkillsList" : [ "Reward programs", "Benefits administration", "HR analytics" ], "coreResponsibilities" : "Support design, delivery, and operation of reward programmes, Ensure reward activities are compliant, Support delivery of annual reward cycles, Maintain and update reward policies, Conduct job evaluations, Support market benchmarking activity, Administer employee benefits, Oversee provider data, Ensure reward practices comply with FCA and PRA, Produce reward reports and dashboards, Support Finance with payroll reconciliation, Provide guidance to managers and HR colleagues, Support internal communications on reward and benefits, Identify and recommend enhancements to reward processes, Contribute to reward projects", "teamCollaboration" : "HR colleagues; Finance; Managers", "domainKnowledge" : "Financial services; FCA/PRA remuneration rules; Material Risk Takers; Deferrals, malus, and clawback", "domainList" : [ "financial-services", "fca-pra-remuneration-rules", "material-risk-takers", "deferrals", "malus", "and-clawback" ], "domainSpecificKnowledge" : [ "Financial services", "FCA/PRA remuneration rules", "Material Risk Takers", "Deferrals, malus, and clawback" ], "toolProficiency" : [ "Excel", "Willis Towers Watson" ], "documentationSkills" : "Benefits documentation", "specialRequirements" : "Financial and criminal record checks", "qualificationsBasic" : "Experience in reward or HR analytical roles, Understanding of reward practices, High level of analytical ability, Skills in Excel, data modelling, and reporting, Excellent attention to detail, Ability to handle confidential information", "qualificationsPreferred" : "Experience with Cascade", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Benefits of working at Together * 26 days holiday, and a day off for your birthday (increasing with service to 30 days), plus bank holidays * Free access to company holiday homes * Buy & sell holidays * Discretionary annual bonus plus an additional Shared Reward Bonus * Matched pension contribution * Health cash plan plus Private medical insurance * Life assurance and Critical illness cover * Travel season ticket loans and Ride to work scheme * Free local gym access * Local bar / restaurant discounts ––––––––––––– Company Description We’re Together. For over 50 years, we’ve helped thousands of people, businesses and professionals unlock their property ambitions with our common-sense approach to mortgages and secured loans. We take the time to understand our customers and our door is always open, so we can often help when other lenders can’t or won’t. Based in Cheadle, Cheshire, our 900 colleagues help our customers throughout the UK, backed by the power of a £7 billion loan book. ––––––––––––– As a Reward and EVP Partner, you will support the design, delivery, and day‑to‑day operation of Together's reward, recognition, and benefits programmes. Operating within a regulated financial services environment, you will ensure all reward activities are compliant, market‑competitive, and aligned to the company's strategy, regulatory expectations (FCA/PRA), and internal governance standards. As a Reward and EVP Partner, we are looking for someone to: * Support the delivery of annual reward cycles, including salary reviews, bonus awards, and promotions, ensuring accurate data, consistent policy application, and strong audit governance * Maintain and update reward policies, job architecture, pay frameworks, and benefits documentation in line with regulatory and market requirements * Conduct job evaluations using the company's chosen methodology (Willis Towers Watson) and support market benchmarking activity to ensure roles remain competitive within the financial services sector * Administer employee benefits (pension, healthcare, salary sacrifice schemes, wellbeing offerings), overseeing provider data, monthly submissions, and changes for joiners and leavers * Ensure reward practices comply with FCA and PRA remuneration rules, including Material Risk Takers (MRTs), deferrals, malus, and clawback provisions * Produce reward reports and dashboards, including gender pay gap analyses, pay benchmarking, bonus outcomes, and cost modelling; support Finance with payroll reconciliation and budgeting cycles * Provide guidance to managers and HR colleagues on reward policy, pay decisions, and compensation structures; support internal communications on reward and benefits offerings * Identify and recommend enhancements to reward processes, tools, and systems, and contribute to reward projects such as system implementations or job architecture refreshes ## Qualifications Essential * Experience in reward or HR analytical roles, ideally within financial services or a regulated environment * Strong understanding of reward practices, pay structures, job evaluation, and benefits administration * High level of analytical ability with strong skills in Excel, data modelling, and reporting * Excellent attention to detail and ability to handle confidential information with integrity Desirable * Experience with Cascade If you feel you have some of the skills mentioned above, but not all, please do still apply and we would be happy to have a further discussion with you in regards to your suitability for the role. ## Additional Information ––––––––––––– Together embraces diversity and inclusion, and are proud to be an equal opportunity workplace. Not only do we welcome difference – we celebrate it, support it and really value our colleagues for who they are. We are committed to building a team that represents a variety of backgrounds, perspectives and skills. If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don’t hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process. Click here for more information on our[ Recruitment Process](https://togethermoney.com/about-us/careers/our-recruitment-process) Please note that all successful applicants will undergo relevant employment reference, financial and criminal record checks.", "summaryDescription" : "Reward and EVP Partner at Together. Skills: Reward programs, Benefits administration, HR analytics. Support design, delivery, and operation of reward programmes. Ensure reward activities are compliant", "postedDate" : "2026-06-10T13:57:38.000", "createdAt" : "2026-06-14T02:54:37.684", "lastUpdated" : "2026-06-15T04:54:58.652", "ingestTimestamp" : "2026-06-14T02:54:37.684", "mongoId" : "6a2cae8c74d8ee00a09d5338", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data modelling", "Reporting", "Reward programs", "Benefits administration", "HR analytics", "Job evaluation", "Market benchmarking", "Payroll reconciliation", "Budgeting cycles", "Financial services", "FCA/PRA remuneration rules", "Material Risk Takers", "Deferrals, malus, and clawback", "Excel", "Willis Towers Watson" ], "skillCount" : 15, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a4b2374d8ee00a05e9403", "title" : "Reward and EVP Partner", "company" : "Together", "industry" : "Financial Services", "salary" : { "min" : 65000.0, "max" : 90000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Reward and EVP Partner in Financial Services in Cheadle, United Kingdom, adjusted for company size and industry." }, "location" : "Cheadle, England, United Kingdom", "locations" : [ "Cheadle", "England", "United Kingdom" ], "timestamp" : "2026-06-14T23:29:39.235", "fingerprint" : "26a6ac96ec9eb06ff10ed766b2915789d174c6e425cf095c8f6150ce058cd372", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Together/744000131462319-reward-and-evp-partner", "externalId" : "744000131462319", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cheadle", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "53.3936441,-2.2122068" } ], "locationText" : "Cheadle, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Job evaluation", "Market benchmarking", "Benefits administration", "Payroll reconciliation", "Budgeting cycles", "Reward policy guidance", "Compensation support" ], "hardSkillsList" : [ "Data modelling", "Reporting", "Pay benchmarking", "Bonus outcomes" ], "hardSkills" : [ { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" }, { "name" : "Pay benchmarking", "level" : "intermediate" }, { "name" : "Bonus outcomes", "level" : "intermediate" } ], "majorSkills" : "Reward programs, Employee benefits, HR analytics", "majorSkillsList" : [ "Reward programs", "Employee benefits", "HR analytics" ], "coreResponsibilities" : "Support design of reward programmes, Support delivery of reward programmes, Support operation of reward programmes, Support design of recognition programmes, Support delivery of recognition programmes, Support operation of recognition programmes, Support design of benefits programmes, Support delivery of benefits programmes, Support operation of benefits programmes, Ensure reward activities are compliant, Ensure reward activities are market-competitive, Ensure reward activities align to strategy, Ensure reward activities align to regulatory expectations, Ensure reward activities align to internal governance, Support delivery of annual reward cycles, Maintain reward policies, Update reward policies, Maintain job architecture, Update job architecture, Maintain pay frameworks, Update pay frameworks, Maintain benefits documentation, Update benefits documentation, Conduct job evaluations, Support market benchmarking activity, Administer employee benefits, Oversee provider data, Oversee monthly submissions, Oversee changes for joiners, Oversee changes for leavers, Ensure reward practices comply with FCA rules, Ensure reward practices comply with PRA rules, Produce reward reports, Produce reward dashboards, Support Finance with payroll reconciliation, Support Finance with budgeting cycles, Provide guidance on reward policy, Provide guidance on pay decisions, Provide guidance on compensation, Support internal communications on reward, Support internal communications on benefits, Identify enhancements to reward processes, Recommend enhancements to reward processes, Identify enhancements to reward tools, Recommend enhancements to reward tools, Identify enhancements to reward systems, Recommend enhancements to reward systems, Contribute to reward projects, Contribute to system implementations, Contribute to job architecture refreshes", "teamCollaboration" : "HR colleagues; Finance; Managers", "domainKnowledge" : "Financial services; Regulated environment; FCA remuneration rules; PRA remuneration rules; Material Risk Takers; Deferrals; Malus; Clawback provisions", "domainList" : [ "financial-services", "regulated-environment", "fca-remuneration-rules", "pra-remuneration-rules", "material-risk-takers", "deferrals", "malus", "clawback-provisions" ], "domainSpecificKnowledge" : [ "Financial services", "Regulated environment", "FCA remuneration rules", "PRA remuneration rules", "Material Risk Takers", "Deferrals", "Malus", "Clawback provisions" ], "toolProficiency" : [ "Excel", "Willis Towers Watson" ], "communicationSkills" : "Internal communications", "documentationSkills" : "Benefits documentation", "problemSolvingSkills" : "Analytical ability", "specialRequirements" : "Financial record checks, Criminal record checks", "qualificationsBasic" : "Experience in reward or HR analytical roles, Understanding of reward practices, High level of analytical ability, Skills in Excel, data modelling, and reporting, Excellent attention to detail, Ability to handle confidential information", "qualificationsPreferred" : "Experience with Cascade", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Benefits of working at Together * 26 days holiday, and a day off for your birthday (increasing with service to 30 days), plus bank holidays * Free access to company holiday homes * Buy & sell holidays * Discretionary annual bonus plus an additional Shared Reward Bonus * Matched pension contribution * Health cash plan plus Private medical insurance * Life assurance and Critical illness cover * Travel season ticket loans and Ride to work scheme * Free local gym access * Local bar / restaurant discounts ––––––––––––– Company Description We’re Together. For over 50 years, we’ve helped thousands of people, businesses and professionals unlock their property ambitions with our common-sense approach to mortgages and secured loans. We take the time to understand our customers and our door is always open, so we can often help when other lenders can’t or won’t. Based in Cheadle, Cheshire, our 900 colleagues help our customers throughout the UK, backed by the power of a £7 billion loan book. ––––––––––––– As a Reward and EVP Partner, you will support the design, delivery, and day‑to‑day operation of Together's reward, recognition, and benefits programmes. Operating within a regulated financial services environment, you will ensure all reward activities are compliant, market‑competitive, and aligned to the company's strategy, regulatory expectations (FCA/PRA), and internal governance standards. As a Reward and EVP Partner, we are looking for someone to: * Support the delivery of annual reward cycles, including salary reviews, bonus awards, and promotions, ensuring accurate data, consistent policy application, and strong audit governance * Maintain and update reward policies, job architecture, pay frameworks, and benefits documentation in line with regulatory and market requirements * Conduct job evaluations using the company's chosen methodology (Willis Towers Watson) and support market benchmarking activity to ensure roles remain competitive within the financial services sector * Administer employee benefits (pension, healthcare, salary sacrifice schemes, wellbeing offerings), overseeing provider data, monthly submissions, and changes for joiners and leavers * Ensure reward practices comply with FCA and PRA remuneration rules, including Material Risk Takers (MRTs), deferrals, malus, and clawback provisions * Produce reward reports and dashboards, including gender pay gap analyses, pay benchmarking, bonus outcomes, and cost modelling; support Finance with payroll reconciliation and budgeting cycles * Provide guidance to managers and HR colleagues on reward policy, pay decisions, and compensation structures; support internal communications on reward and benefits offerings * Identify and recommend enhancements to reward processes, tools, and systems, and contribute to reward projects such as system implementations or job architecture refreshes ## Qualifications Essential * Experience in reward or HR analytical roles, ideally within financial services or a regulated environment * Strong understanding of reward practices, pay structures, job evaluation, and benefits administration * High level of analytical ability with strong skills in Excel, data modelling, and reporting * Excellent attention to detail and ability to handle confidential information with integrity Desirable * Experience with Cascade If you feel you have some of the skills mentioned above, but not all, please do still apply and we would be happy to have a further discussion with you in regards to your suitability for the role. ## Additional Information ––––––––––––– Together embraces diversity and inclusion, and are proud to be an equal opportunity workplace. Not only do we welcome difference – we celebrate it, support it and really value our colleagues for who they are. We are committed to building a team that represents a variety of backgrounds, perspectives and skills. If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don’t hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process. Click here for more information on our[ Recruitment Process](https://togethermoney.com/about-us/careers/our-recruitment-process) Please note that all successful applicants will undergo relevant employment reference, financial and criminal record checks.", "summaryDescription" : "Reward and EVP Partner at Together. Skills: Reward programs, Employee benefits, HR analytics. Support design of reward programmes. Support delivery of reward programmes", "postedDate" : "2026-06-10T13:57:38.000", "createdAt" : "2026-06-12T03:41:36.877", "lastUpdated" : "2026-06-14T23:29:39.235", "ingestTimestamp" : "2026-06-12T03:41:36.877", "mongoId" : "6a2a4b2374d8ee00a05e9403", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data modelling", "Reporting", "Pay benchmarking", "Bonus outcomes", "Reward programs", "Employee benefits", "HR analytics", "Job evaluation", "Market benchmarking", "Benefits administration", "Payroll reconciliation", "Budgeting cycles", "Reward policy guidance", "Compensation support", "Financial services", "Regulated environment", "FCA remuneration rules", "PRA remuneration rules", "Material Risk Takers", "Deferrals", "Malus", "Clawback provisions", "Excel", "Willis Towers Watson" ], "skillCount" : 24, "jobCategory" : "human-resources", "jobSubcategory" : "People", "dataQualityScore" : 1.0, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services" }, { "id" : "6a2ca42974d8ee00a09b06a2", "title" : "Physician for Modern Vein Clinic — Will Provide Comprehensive Training", "company" : "Metro Vein Centers", "industry" : "Healthcare", "salary" : { "min" : 220000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Physician in Philadelphia, adjusted for mid-seniority and the healthcare industry." }, "location" : "Greater Philadelphia", "locations" : [ "Greater Philadelphia" ], "certifications" : [ "Medical malpractice insurance coverage", "Applicable licenses", "Board certifications" ], "timestamp" : "2026-06-15T06:38:06.644", "fingerprint" : "d231effbd228b8e5bdb4e616d1bc26d7f716dcd4c085650a3a37107400d03702", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/metroveincenters/jobs/4163126009", "externalId" : "4163126009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Philadelphia", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.9527237,-75.1635262" } ], "locationText" : "Philadelphia, Pennsylvania, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Patient care", "Leadership skills", "Interpersonal skills" ], "hardSkillsList" : [ "Vein treatments", "Vascular treatments" ], "softSkillsList" : [ "Listening", "Motivation" ], "hardSkills" : [ { "name" : "Vein treatments", "level" : "intermediate" }, { "name" : "Vascular treatments", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Listening" }, { "name" : "Motivation" } ], "majorSkills" : "Patient care, Clinical leadership", "majorSkillsList" : [ "Patient care", "Clinical leadership" ], "coreResponsibilities" : "Provide comprehensive training, Lead own practice, Provide care, Lead clinical team", "teamCollaboration" : "Collaborative colleague; Motivating team champion", "domainKnowledge" : "Vein disease; Varicose veins; Chronic venous insufficiency", "domainList" : [ "vein-disease", "varicose-veins", "chronic-venous-insufficiency" ], "domainSpecificKnowledge" : [ "Vein disease", "Varicose veins", "Chronic venous insufficiency" ], "communicationSkills" : "Compassionate communicator", "continuousLearning" : "Continuing education stipend; Learning new knowledge; Applying new techniques", "outcomesObjectives" : "Improve people’s quality of life; Relieve painful symptoms; Deliver compassionate care; Deliver results-driven care", "qualificationsBasic" : "MD or DO board certification, Eligible to obtain medical licensure", "qualificationsPreferred" : "Prior vein experience preferred, Prior vascular experience preferred", "workSiteFlexibility" : "Onsite", "rawDescription" : "Metro Vein Centers is a rapidly growing healthcare practice specializing in state-of-the-art vein treatments. Our board-certified physicians and expert staff are on a mission to improve people’s quality of life by relieving the painful, yet highly treatable symptoms of vein disease—such as varicose veins and heavy, aching legs. With over 60 clinics across 7 states, and still growing, we’re building the future of vein care—delivering compassionate, results-driven care in a modern, patient-first environment. We proudly maintain a Net Promoter Score (NPS) of 93, the highest patient satisfaction in the industry. Role Description Welcome to Vein Care Done Differently. You might be here because you’ve found the way most medical practices work doesn’t actually work for you (or your loved ones). Maybe, as much as you love helping people, you don’t love the stress of working in certain medical fields, running a practice completely on your own, or struggling to build a life around unpredictable and exhausting on-call hours. If you are looking for a rewarding new career growth opportunity where you can lead your own practice with the dynamic support and state-of-the-art resources of an empowering national leader in vein care, we’d love to introduce ourselves. Metro Vein Centers is an industry-leading healthcare practice specializing in treating common vein conditions such as chronic venous insufficiency and varicose veins. We are looking for physicians from all medical specialties who are passionate about patient care to join our rapidly growing team. We are currently hiring physicians for full-time clinical positions. Our clinical leadership team is proud to offer comprehensive, hands-on vein care training. No prior vein or vascular experience is necessary, though we are always interested in speaking with doctors already serving patients in the field. Our incredible team of vein specialists originally came from many different medical specialties. If you want to provide care that positively impacts people’s quality of life and lead a clinical team in doing just that, you’ll fit right in. Who You Are MD or DO degree; board certification in your specialty Excellent leadership and interpersonal skills—a great listener, compassionate communicator, collaborative colleague, and motivating team champion Committed to providing high-quality, patient-centered care with integrity and thoughtfulness Enthusiastic about learning and applying new knowledge and techniques Eligible to obtain medical licensure in the state of your Metro Vein Centers clinic Compensation and Benefits Industry-leading compensation, with significant upside based on performance Four weeks of paid time off (as in actual time off where no one interrupts your vacation) Coverage of medical malpractice insurance Reimbursement for all applicable licenses and board certifications Continuing education stipend Comprehensive medical, dental, and vision coverage 401(k) How to Apply To apply for this position, please send your CV to Nick Codispoti at ncodispoti@metroveincenters.com or apply directly through LinkedIn. Compensation for this role varies based on years of experience, skill set, and alignment with position requirements. Compensation: $450,000—$650,000 USD The Metro Vein Centers Difference Healthy legs. Happier lives. At Metro Vein Centers, we believe exceptional care begins with an exceptional experience. Our mission is to make vein care approachable, empowering, and connected to overall well-being. From the first conversation to the final follow-up, every patient interaction reflects our commitment to compassion, expertise, and trust. A team united by purpose. Our values guide everything we do: Patients First, Always – Every interaction should make our patients feel valued, heard, and cared for. Stronger Together – Teamwork and collaboration drive our success. We lift each other up to deliver the best for our patients. A Can-Do Spirit – We meet every challenge with positivity, flexibility, and problem-solving energy. Results That Make a Difference – We’re driven to improve lives through meaningful, measurable outcomes. Commitment to Growth – We invest in our people, fostering advancement and professional development at every level. Metro Vein Centers is an Equal Opportunity Employer. We’re committed to creating a workplace where everyone feels seen, heard, and supported. We do not discriminate based on race, color, religion, sex, national origin, age, disability, genetics, gender identity or expression, sexual orientation, veteran status, or any other protected status in accordance with applicable federal, state, and local laws. This policy applies to all aspects of employment, including recruitment, hiring, promotion, compensation, benefits, and termination. Legal & Compliance Notice: Metro Vein Centers complies with all applicable federal, state, and local employment laws, including those related to nondiscrimination, equal opportunity, and pay transparency. Where specific disclosures or postings are required by law, we provide this information as part of our hiring process or upon request. Your privacy matters. To learn more about how we collect, use, and protect your information, please review our privacy policy here.", "summaryDescription" : "Physician for Modern Vein Clinic — Will Provide Comprehensive Training at Metro Vein Centers. Skills: Patient care, Clinical leadership. Provide comprehensive training. Lead own practice", "postedDate" : "2026-06-13T22:42:13.872", "createdAt" : "2026-06-13T22:42:13.872", "lastUpdated" : "2026-06-15T06:38:06.644", "ingestTimestamp" : "2026-06-13T22:42:13.872", "mongoId" : "6a2ca42974d8ee00a09b06a2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Vein treatments", "Vascular treatments", "Listening", "Motivation", "Patient care", "Clinical leadership", "Leadership skills", "Interpersonal skills", "Vein disease", "Varicose veins", "Chronic venous insufficiency", "Medical malpractice insurance coverage", "Applicable licenses", "Board certifications" ], "skillCount" : 14, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c5f4074d8ee00a08ea55d", "title" : "Reward Manager, Executive Compensation", "company" : "Nscale", "industry" : "Technology", "salary" : { "min" : 121000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York", "locations" : [ "New York" ], "timestamp" : "2026-06-14T22:20:56.952", "fingerprint" : "72098e2fa60ea84e79b835afb349993d5583a97098fc69547cd809e0e9ffda6f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/nscaleoperationsukltd/jobs/4876076101", "externalId" : "4876076101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceLevel" : "Manager", "professionalSkills" : [ "Executive compensation", "Equity design", "Reward strategy", "Program design", "Governance standards", "Regulatory compliance", "Equity programs", "Financial modeling", "Stakeholder management" ], "hardSkillsList" : [ "Compensation benchmarking", "Tally sheets", "Performance-to-pay models", "Total reward analyses", "Compensation reporting", "Disclosure preparation", "Grant guidelines", "Eligibility frameworks", "Vesting structures", "Budget modeling", "Grant recommendations", "Target-setting", "Scenario planning", "Offer construction", "Retention strategies" ], "softSkillsList" : [ "Ownership", "Accountability", "Excellence", "Urgency", "Openness", "Transparency", "Leadership" ], "hardSkills" : [ { "name" : "Compensation benchmarking", "level" : "intermediate" }, { "name" : "Tally sheets", "level" : "intermediate" }, { "name" : "Performance-to-pay models", "level" : "intermediate" }, { "name" : "Total reward analyses", "level" : "intermediate" }, { "name" : "Compensation reporting", "level" : "intermediate" }, { "name" : "Disclosure preparation", "level" : "intermediate" }, { "name" : "Grant guidelines", "level" : "intermediate" }, { "name" : "Eligibility frameworks", "level" : "intermediate" }, { "name" : "Vesting structures", "level" : "intermediate" }, { "name" : "Budget modeling", "level" : "intermediate" }, { "name" : "Grant recommendations", "level" : "intermediate" }, { "name" : "Target-setting", "level" : "intermediate" }, { "name" : "Scenario planning", "level" : "intermediate" }, { "name" : "Offer construction", "level" : "intermediate" }, { "name" : "Retention strategies", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership" }, { "name" : "Accountability" }, { "name" : "Excellence" }, { "name" : "Urgency" }, { "name" : "Openness" }, { "name" : "Transparency" }, { "name" : "Leadership" } ], "majorSkills" : "Executive compensation, Equity programs, Compensation design, Financial modeling", "majorSkillsList" : [ "Executive compensation", "Equity programs", "Compensation design", "Financial modeling" ], "coreResponsibilities" : "Support executive compensation program design, Manage executive compensation programs, Own executive and equity compensation benchmarking, Translate market data into pay recommendations, Build compensation tally sheets, Maintain compensation tally sheets, Build performance-to-pay models, Maintain performance-to-pay models, Build total reward analyses, Maintain total reward analyses, Prepare Compensation Committee materials, Partner with consultants and counsel, Ensure program design alignment, Support executive compensation reporting, Support executive compensation disclosures, Support governance statements, Contribute to Directors Remuneration Report, Maintain knowledge of global compensation disclosure trends, Flag market developments, Support equity program design, Lead development of equity grant guidelines, Lead development of eligibility frameworks, Lead development of vesting structures, Own annual equity refresh cycle, Model equity program budgets, Make equity grant recommendations, Set equity targets, Align executive and employee programs, Ensure reward design is executable, Build financial models for equity programs, Build financial models for compensation planning, Build financial models for executive pay, Conduct ad hoc analysis for executive hiring, Conduct ad hoc analysis for offer construction, Conduct ad hoc analysis for retention strategies, Conduct ad hoc analysis for leadership transitions, Act as subject matter expert, Translate compensation data, Translate equity data, Provide analytical input for reward decisions", "teamCollaboration" : "Work with Finance; Work with Legal; Work with People; Work with stock administration; Work with consultants; Work with outside counsel; Work with business stakeholders; Partner with People Partners; Partner with Finance; Partner with Legal; Partner with business stakeholders; Work with Compensation team; Work with equity administration", "projectManagementSkills" : [ "Workstreams independently" ], "domainKnowledge" : "Executive compensation; Equity compensation; US corporate governance; UK corporate governance; Institutional investor guidelines; Compensation Committee processes; Long-term incentive (LTI); Annual incentive design; Equity program structures; Share/unit transitions", "domainList" : [ "executive-compensation", "equity-compensation", "us-corporate-governance", "uk-corporate-governance", "institutional-investor-guidelines", "compensation-committee-processes", "long-term-incentive-lti", "annual-incentive-design", "equity-program-structures", "share-unit-transitions" ], "domainSpecificKnowledge" : [ "Executive compensation", "Equity compensation", "US corporate governance", "UK corporate governance", "Institutional investor guidelines", "Compensation Committee processes", "Long-term incentive (LTI)", "Annual incentive design", "Equity program structures", "Share/unit transitions" ], "toolProficiency" : [ "Radford" ], "communicationSkills" : "Translate complex data; Actionable guidance", "documentationSkills" : "Governance statements; Remuneration Report", "problemSolvingSkills" : "Analytical acumen", "qualificationsBasic" : "Significant experience in executive compensation and equity design, Experience in high-growth tech or multinational environment, Direct experience with US and/or UK corporate governance, Direct experience with executive remuneration reporting, Hands-on experience in sophisticated, highly governed corporate environment, Exposure to institutional investor guidelines, Exposure to Compensation Committee processes, Experience supporting complex reward disclosures, Experience supporting executive compensation tables, Experience supporting pay-versus-performance analysis, Deep technical knowledge of executive pay program design, Experience with LTI mechanics, Experience with annual incentive design, Experience with equity program structures, Benchmarking expertise using Radford or equivalent, Experience designing or managing broad-based equity programs, Experience with annual refresh cycles, Experience with equity target-setting, Advanced Excel and modeling capability, High attention to detail, Governance mindset", "qualificationsPreferred" : "Experience with share/unit transitions", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you’ll be contributing to building the technology that powers the future. About the Role We're hiring a Manager, Executive Compensation to help build and scale Nscale's executive compensation and equity programs as the company transitions to a public company and expands rapidly across global markets. This role sits within the People team as part of the Reward function and reports to the Director of Equity & Executive Compensation. You'll work closely with partners across Finance, Legal, People, stock administration, external compensation consultants, outside counsel, and senior business stakeholders to support both executive reward strategy and broader equity program design. This is a high-impact opportunity to shape programs at a pivotal stage of growth. Your work will help ensure Nscale's executive and equity compensation approach is market-informed, operationally sound, and aligned with governance standards, regulatory requirements, and shareholder expectations. What you'll be doing Executive Compensation Design and Governance Support the design and ongoing management of executive compensation programs, including base salary, short-term incentives, and long-term incentive structures for senior leadership. Own the executive and equity compensation benchmarking process using Radford and peer group analysis, translating market data into defensible pay recommendations for review by leadership. Build and maintain compensation tally sheets, performance-to-pay models, and total reward analyses for the executive population. Support the Director of Equity & Executive Compensation in preparing materials for the Compensation Committee, including meeting decks, pre-reads, and follow-up actions across an annual cadence. Partner with external compensation consultants and outside counsel to ensure program design is aligned to market best practices, institutional governance standards, and stakeholder expectations. Governance, Disclosure, and Regulatory Compliance Support the preparation of annual executive compensation reporting, disclosures, and governance statements in alignment with international best practices. Contribute to the Directors Remuneration Report and related frameworks in compliance with UK and international corporate governance expectations. Maintain current knowledge of global compensation disclosure trends and governance guidelines, flagging market developments that may impact program design or reporting. Equity Program Design Support the strategic design and iteration of Nscale's global equity programs. Lead the development of equity grant guidelines, eligibility frameworks, and vesting structures for the broad-based employee population, working within the overall program direction set by leadership. Own the annual equity refresh cycle, including budget modeling, grant recommendations, and equity target-setting across all levels and geographies. Partner with the broader Compensation team on equity design for the broad-based population, ensuring alignment and consistency between executive and employee programs. Work with equity administration on program implementation, ensuring reward design decisions are operationally executable. Analytical Modeling and Insights Build and maintain financial models to support equity program design, compensation scenario planning, and executive pay decisions. Conduct ad hoc analysis to support executive hiring, offer construction, retention strategies, and leadership transition scenarios. Stakeholder Partnership Act as a subject matter expert to People Partners, Finance, Legal, and senior business stakeholders on executive compensation and equity matters. Translate complex compensation and equity data into clear, actionable guidance for non-technical audiences including senior leaders. Support sensitive executive compensation conversations and provide analytical input into executive-level reward decisions. About You Significant experience working specifically in executive compensation and equity design, within a high-growth tech or complex multinational environment. Direct experience with US and or UK corporate governance requirements and executive remuneration reporting is a requirement. Direct, hands-on experience working within a sophisticated, highly governed corporate environment, including exposure to institutional investor guidelines and Compensation Committee processes. Proven experience supporting complex reward disclosures, executive compensation tables, and pay-versus-performance analysis. Deep technical knowledge of executive pay program design, including long-term incentive (LTI) mechanics, annual incentive design, and equity program structures (including share/unit transitions). Strong benchmarking expertise using Radford or equivalent executive compensation surveys. Experience designing or managing broad-based equity programs, including annual refresh cycles and equity target-setting. Strong financial and analytical acumen with advanced Excel and modeling capability. Confident operating as a senior individual contributor, able to own complex workstreams independently and influence without direct authority. Comfortable working at pace in an ambiguous, fast-evolving environment and building programs from scratch. High attention to detail, strong governance mindset, and excellent stakeholder management skills. What we can offer you At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the core. Highly competitive compensation package (base + bonus + equity), with performance reviews every 12 months. \uD83D\uDE80 Join one of the fastest-growing AI infrastructure companies — your chance to directly shape how global AI capacity is planned and deployed. ✨ Expect a dynamic progression plan tailored to your ambitions. Grow by leading critical cross-functional initiatives and shaping capital strategy — always with our full support. Human-First Flexibility: We treat you as humans first. \uD83E\uDEF6\uD83C\uDFFD Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments. Equal Opportunities Statement We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there’s anything we can do to accommodate your specific situation, please let us know. The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role. Salary Range The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation. Salary Range $121,000—$200,000 USD For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.", "summaryDescription" : "Reward Manager, Executive Compensation at Nscale. Skills: Executive compensation, Equity programs, Compensation design, Financial modeling. Support executive compensation program design. 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Product managers; Engineers; Marketing teams", "domainKnowledge" : "EdTech; SaaS; Product analytics", "domainList" : [ "edtech", "saas", "product-analytics" ], "domainSpecificKnowledge" : [ "EdTech", "SaaS", "Product analytics" ], "toolProficiency" : [ "Tableau", "PowerBI", "Snowflake", "Databricks", "Fivetran" ], "communicationSkills" : "Storytelling; Present complex analyses", "continuousLearning" : "Learning and development resources; Professional development tools; Tuition reimbursement", "problemSolvingSkills" : "Analytical rigor", "specialRequirements" : "Background check, Identity verification", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "At Instructure, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers. We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in: The Decision Scientist at Instructure will contribute to how data informs strategic decisions across the organization. This is a foundational role within a growing decision science capability, offering the opportunity to apply analytical rigor to meaningful business problems in an EdTech environment. IMPACT OF THE ROLE As a Decision Scientist, you will support data-driven decision-making across Instructure by delivering high-quality analyses and partnering with cross-functional teams. In this role, you will: - Support business impact through data-driven insights. Conduct analyses that uncover opportunities to improve product adoption, customer engagement, and revenue growth using rigorous analytical methods. - Execute experimentation and causal analysis. Support the design and execution of A/B tests and causal inference studies to evaluate the impact of new product features, pricing strategies, and go-to-market initiatives. - Contribute to product and business strategy. Partner with product managers, engineers, and marketing teams to translate business questions into structured analytical frameworks and deliver clear, actionable findings. - Deliver analytical solutions end-to-end. Own the lifecycle of analytical projects — from scoping problems and building models to presenting insights and tracking outcomes. - Apply AI-first thinking. Leverage AI tooling (e.g., Claude, ChatGPT, Glean) to accelerate analysis, improve throughput, and elevate the quality of deliverables. - Communicate insights clearly. Translate analytical findings into recommendations that both technical and non-technical stakeholders can understand and act on. WHAT YOU WILL NEED - Master's degree in Statistics, Computer Science, Economics, Applied Mathematics, Operations Research, or a related quantitative field (PhD is a plus). - 2–4 years of experience in data science, analytics, or a related discipline with demonstrated ability to deliver actionable insights. - Strong understanding of statistical modeling, machine learning fundamentals, and experimental design (A/B testing). - Familiarity with AI tooling (Claude, ChatGPT, Glean) to improve productivity. - Strong proficiency in SQL for data extraction and manipulation. - Proficiency in Python or R for data analysis, modeling, and visualization. - Proficiency in a Business intelligence tool (Tableau, PowerBI... etc.) - Experience working with modern data platforms (e.g., Snowflake, Databricks, Fivetran). - Strong communication and storytelling skills with the ability to present complex analyses clearly. - Experience in SaaS, product analytics, or EdTech environments is a plus. - Ability to work effectively in a fast-paced, cross-functional environment. Get in on all the awesome at Instructure! We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect: - Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success. - Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location. - Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs. - Comprehensive wellness programs and mental health support - Learning and development resources, including professional development tools and tuition reimbursement, to support your growth - The technology and tools you need to do your best work - Motivosity employee recognition program - A culture rooted in inclusivity, support, and meaningful connection We believe in hiring great people and treating them right. The more diverse we are, the better our ideas and outcomes. Instructure is an Equal Opportunity Employer. We comply with applicable employment and anti-discrimination laws in every country where we operate. All employees must pass a background check as part of the hiring process. To help protect our teams and systems, we’ve implemented identity verification measures. Candidates may be asked to verify their legal name, current physical location, and provide a valid contact number and residential address, in accordance with local data privacy laws. Any attempt to misrepresent personal or professional information will result in disqualification.", "summaryDescription" : "Decision Scientist at Instructure. Skills: Data science, Analytics, Machine learning, Experimentation. Support business impact through data-driven insights. Conduct analyses to improve product adoption", "postedDate" : "2026-06-11T20:53:25.048", "createdAt" : "2026-06-11T20:53:25.048", "lastUpdated" : "2026-06-14T21:05:18.602", "ingestTimestamp" : "2026-06-11T20:53:25.048", "mongoId" : "6a2a456b74d8ee00a05d2104", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Machine learning", "Experimental design", "A/B testing", "Causal inference", "Data analysis", "Data manipulation", "Data visualization", "Model building", "Outcome tracking", "Data science", "Analytics", "Experimentation", "Product analytics", "EdTech", "SaaS", "Tableau", "PowerBI", "Snowflake", "Databricks", "Fivetran" ], "skillCount" : 21, "jobCategory" : "other", "jobSubcategory" : "general-&-administration", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "EdTech" }, { "id" : "6a307f1ff292fd229c0556cd", "title" : "Data Center Technician, Deployment and Support, Public Sector", "industry" : "Government", "salary" : { "min" : 70000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Center Technician in Thornton, United States, adjusted for the technology industry and full-time employment." }, "location" : "[Thornton, CO, USA, [12396 Grant St, Thornton, CO 80241, USA], Thornton, 80241, CO, US]", "locations" : [ "[Thornton, CO, USA, [12396 Grant St, Thornton, CO 80241, USA], Thornton, 80241, CO, US]" ], "certifications" : [ "CompTIA A+" ], "timestamp" : "2026-06-16T13:54:09.956", "fingerprint" : "e7479b541bf048023a1a68147fd7a1d960043ad3922d38e67e4966f5052fe179", "source" : "google", "language" : "en", "externalId" : "140380684001649350", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Thornton", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.8695516,-104.9851810" } ], "locationText" : "Thornton, Colorado, United States", "technicalSkills" : "Windows Server, Linux, Networking, Hardware troubleshooting, Virtualization", "hardSkillsList" : [ "Hardware installation", "Cable management", "Rack and stack" ], "hardSkills" : [ { "name" : "Hardware installation", "level" : "intermediate" }, { "name" : "Cable management", "level" : "intermediate" }, { "name" : "Rack and stack", "level" : "intermediate" } ], "majorSkills" : "Data center operations, Hardware support", "majorSkillsList" : [ "Data center operations", "Hardware support" ], "coreResponsibilities" : "Install and configure servers, Perform hardware maintenance, Troubleshoot hardware issues, Manage data center infrastructure, Maintain accurate inventory, Respond to incidents, Follow safety procedures", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Data center operations; Public sector IT", "domainList" : [ "data-center-operations", "public-sector-it" ], "domainSpecificKnowledge" : [ "Data center operations", "Public sector IT" ], "toolProficiency" : [ "Ticketing systems" ], "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Problem-solving", "specialRequirements" : "Physical lifting", "qualificationsBasic" : "5+ years experience, Associate's degree", "qualificationsPreferred" : "Bachelor's degree", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Data Center Technician, Deployment and Support, Public Sector. Skills: Data center operations, Hardware support. Install and configure servers. Perform hardware maintenance", "postedDate" : "2026-06-16T01:52:20.705", "createdAt" : "2026-06-16T01:52:20.705", "lastUpdated" : "2026-06-16T13:54:09.956", "ingestTimestamp" : "2026-06-16T01:52:20.705", "mongoId" : "6a307f1ff292fd229c0556cd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 70000, "salaryAnnualMax" : 95000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Hardware installation", "Cable management", "Rack and stack", "Data center operations", "Hardware support", "Public sector IT", "CompTIA A+", "Ticketing systems" ], "skillCount" : 8, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.9 }, { "id" : "6a2cb20874d8ee00a09defa9", "title" : "Category and Insights Manager", "industry" : "Others", "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T04:29:14.180", "fingerprint" : "3df6ed4535f73e13ab81e26217974a6585f61c3ce18634ad738c9edc5c5f4443", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/3a46e28a-e26c-458a-a24e-74eb1be5ef79/apply", "externalId" : "3a46e28a-e26c-458a-a24e-74eb1be5ef79", "industryFunction" : { }, "structuredLocations" : [ { "continent" : "na", "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Nielsen, IRI, SPINS, Tableau, Power BI", "professionalSkills" : [ "Category management", "Business analytics", "Consumer insights", "Data analysis", "Strategic recommendations", "Commercial narratives", "Brand positioning", "Shopper insights", "Retail growth", "Data visualization" ], "hardSkillsList" : [ "Syndicated data analysis", "Consumer data analysis", "Sales analysis", "Pricing analysis", "Distribution analysis", "Merchandising analysis", "Quantitative research", "Qualitative research", "Reporting" ], "hardSkills" : [ { "name" : "Syndicated data analysis", "level" : "intermediate" }, { "name" : "Consumer data analysis", "level" : "intermediate" }, { "name" : "Sales analysis", "level" : "intermediate" }, { "name" : "Pricing analysis", "level" : "intermediate" }, { "name" : "Distribution analysis", "level" : "intermediate" }, { "name" : "Merchandising analysis", "level" : "intermediate" }, { "name" : "Quantitative research", "level" : "intermediate" }, { "name" : "Qualitative research", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "majorSkills" : "Category performance analysis, Shopper insights development, Syndicated data management, Consumer behavior analysis", "majorSkillsList" : [ "Category performance analysis", "Shopper insights development", "Syndicated data management", "Consumer behavior analysis" ], "coreResponsibilities" : "Own category performance analysis, Develop shopper insights, Transform data into recommendations, Drive retail growth, Drive brand positioning, Manage syndicated data sources, Track category performance, Track brand performance, Track competitor performance, Analyze sales trends, Analyze pricing trends, Analyze distribution trends, Analyze merchandising trends, Identify growth drivers, Identify risks, Identify whitespace opportunities, Develop category stories, Develop customer-facing presentations, Support retail engagement, Support sell-in strategies, Conduct consumer research, Conduct shopper research, Understand behavior, Understand motivations, Understand consumption occasions, Build dashboards, Build scorecards, Build reporting tools, Translate performance data, Provide data-backed recommendations, Support innovation, Support brand strategy", "teamCollaboration" : "Partner with Sales; Collaborate cross-functionally; Align insights with objectives", "domainKnowledge" : "Consumer goods environment; Retail dynamics; Category strategy; Shopper marketing principles; CPG industry; Food & beverage industry; Grocery retail; Mass retail; Natural retail; Specialty retail; Evolving lifestyle trends; Entertaining trends", "domainList" : [ "consumer-goods-environment", "retail-dynamics", "category-strategy", "shopper-marketing-principles", "cpg-industry", "food-beverage-industry", "grocery-retail", "mass-retail", "natural-retail", "specialty-retail", "evolving-lifestyle-trends", "entertaining-trends" ], "domainSpecificKnowledge" : [ "Consumer goods environment", "Retail dynamics", "Category strategy", "Shopper marketing principles", "CPG industry", "Food & beverage industry", "Grocery retail", "Mass retail", "Natural retail", "Specialty retail", "Evolving lifestyle trends", "Entertaining trends" ], "toolProficiency" : [ "Nielsen", "IRI", "SPINS", "Excel", "PowerPoint" ], "communicationSkills" : "Customer presentations; Influencing stakeholders; Influencing retail partners", "continuousLearning" : "Professional growth opportunities; Development opportunities", "innovationCreativity" : "Innovation support; Brand development projects", "problemSolvingSkills" : "Analytical capabilities; Simplify complex data", "specialRequirements" : "Travel opportunities United States", "qualificationsBasic" : "5+ years experience in category management, 5+ years experience in business analytics, 5+ years experience in consumer insights, Experience working with grocery retail channels, Experience working with mass retail channels, Experience working with natural retail channels, Experience working with specialty retail channels, Proficiency with syndicated data platforms, Excel skills, PowerPoint skills, Deep understanding of retail dynamics, Deep understanding of category strategy, Deep understanding of shopper marketing principles, Analytical abilities, Storytelling abilities, Excellent presentation skills, Excellent communication skills", "qualificationsPreferred" : "CPG industry experience preferred, Food & beverage industry experience preferred, Exposure to BI tools preferred, Experience influencing external retail partners preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities You will own category performance analysis and shopper insights development, transforming syndicated and consumer data into strategic recommendations that drive retail growth and brand positioning. Own and manage syndicated data sources to track category, brand, and competitor performance across key retail channels. Analyze sales, pricing, distribution, and merchandising trends to identify growth drivers, risks, and whitespace opportunities. Develop category stories and customer-facing presentations in partnership with Sales to support retail engagement and sell-in strategies. Conduct consumer and shopper insights research, both quantitative and qualitative, to understand behavior, motivations, and consumption occasions. Build dashboards, scorecards, and recurring reporting tools that translate performance data into actionable business insights. Support innovation and brand strategy by providing data-backed recommendations for new product development and category positioning. Collaborate cross-functionally with Sales, Marketing, Innovation, and Finance to align insights with broader business objectives. Requirements This role requires strong analytical capabilities, category management expertise, and the ability to translate data into compelling commercial narratives within a fast-paced consumer goods environment. 5+ years of experience in category management, business analytics, or consumer insights, preferably within CPG or food & beverage industries. Experience working with grocery, mass, natural, and/or specialty retail channels. Proficiency with syndicated data platforms such as Nielsen, IRI, SPINS, or similar shopper and retail data tools. Strong Excel and PowerPoint skills, with exposure to BI tools such as Tableau or Power BI considered a plus. Deep understanding of retail dynamics, category strategy, and shopper marketing principles. Strong analytical and storytelling abilities, with the capacity to simplify complex data into clear insights. Excellent presentation and communication skills, with experience influencing both internal stakeholders and external retail partners. Passion for food, consumer behavior, and evolving lifestyle and entertaining trends. Benefits Competitive compensation package (based on experience and location) Health, dental, and vision insurance Paid time off and company holidays Opportunities for professional growth and development Exposure to high-impact, cross-functional strategic initiatives Collaborative and fast-paced work environment Involvement in innovation and brand development projects Travel opportunities across the United States ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Category and Insights Manager. Skills: Category performance analysis, Shopper insights development, Syndicated data management, Consumer behavior analysis. Own category performance analysis. 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GTM teams; Technical Success teams; Product teams; Engineering teams; RevOps teams; Finance teams", "projectManagementSkills" : [ "Roadmap execution" ], "domainKnowledge" : "Customer intelligence; Customer adoption; Product telemetry; Customer health; Revenue; Support tier; Commercial context; Field activity; Customer lifecycle; GTM strategy; Technical Success; Customer segmentation; Product usage; Customer behavior; Field activity; Customer feedback; B2B business; Customer success; Product gaps; Repeatable playbooks; Customer escalations; Missed opportunities; Customer risk; Expansion potential; Product adoption; Customer lifecycle stage; Intervention effectiveness; Customer outcomes; Customer happy paths; Durable adoption; Customer retention; Sales workflows; Finance workflows; Product workflows; Executive leadership", "domainList" : [ "customer-intelligence", "customer-adoption", "product-telemetry", "customer-health", "revenue", "support-tier", "commercial-context", "field-activity", "customer-lifecycle", "gtm-strategy", "technical-success", "customer-segmentation", "product-usage", "customer-behavior", "customer-feedback", "b2b-business", "customer-success", "product-gaps", "repeatable-playbooks", "customer-escalations", "missed-opportunities", "customer-risk", "expansion-potential", "product-adoption", "customer-lifecycle-stage", "intervention-effectiveness", "customer-outcomes", "customer-happy-paths", "durable-adoption", "customer-retention", "sales-workflows", "finance-workflows", "product-workflows", "executive-leadership" ], "domainSpecificKnowledge" : [ "Customer intelligence", "Customer adoption", "Product telemetry", "Customer health", "Revenue", "Support tier", "Commercial context", "Field activity", "Customer lifecycle", "GTM strategy", "Technical Success", "Customer segmentation", "Product usage", "Customer behavior", "Field activity", "Customer feedback", "B2B business", "Customer success", "Product gaps", "Repeatable playbooks", "Customer escalations", "Missed opportunities", "Customer risk", "Expansion potential", "Product adoption", "Customer lifecycle stage", "Intervention effectiveness", "Customer outcomes", "Customer happy paths", "Durable adoption", "Customer retention", "Sales workflows", "Finance workflows", "Product workflows", "Executive leadership" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "SageMaker", "Vertex AI", "ML Studio" ], "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Accelerate durable growth; Scale customer adoption; Scale customer expansion; Improve customer outcomes; Move pilots to production; Deepen product usage; Identify high-value use cases; Reduce churn risk; Create faster feedback loop", "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "ABOUT THE TEAM The GTM Data Science team partners with Go-to-Market, Technical Success, Product, Engineering, RevOps, and Strategic Finance to build the shared intelligence layer for OpenAI's B2B business. The team turns product usage, customer behavior, revenue, field activity, and customer feedback into rigorous insight products that help leaders and field teams understand where customers are succeeding, where adoption is blocked, and what actions will accelerate durable growth. We are building systems that make customer intelligence proactive: surfacing risk, expansion potential, product gaps, and repeatable playbooks before they show up as escalations or missed opportunities. ABOUT THE ROLE As the Applied Data Science & Insights Lead for GTM Intelligence Solutions and Technical Success, you will be a hands-on technical leader responsible for shaping how OpenAI measures, understands, and improves customer adoption across our B2B products. You will build AI/ML-powered intelligence products that connect account health, product usage, customer lifecycle, support tier, qualitative sentiment, commercial context, and field actions into a practical operating system for GTM and Technical Success. This role will build the data science foundation for Technical Success: defining the metrics, models, operating insights, and decision systems that help the team scale customer adoption and expansion with rigor. You will also be expected to build and lead a small mighty team over time: setting direction, hiring and developing talent, creating operating cadences, and holding a high bar for technical rigor and business impact. You will lead the development of models, metrics, and decision systems that recommend what GTM and Technical Success teams should do next, explain why, and measure whether those interventions worked. Your work will help customers move from pilots to production, deepen usage across products, identify high-value use cases, reduce churn risk, and create a faster feedback loop from the field back to Product and Research. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. THE VISION - Build a unified GTM intelligence layer that connects product telemetry, customer health, revenue, support tier, lifecycle stage, field activity, and qualitative feedback. - Turn adoption breadth, usage depth, sentiment, and customer maturity signals into next-best-action systems for Technical Success and field teams. - Create a measurement foundation for Technical Success playbooks, including whether recommended actions were taken and whether they improved customer outcomes. - Help OpenAI understand customer happy paths: the use cases, product behaviors, and interventions that lead to durable adoption, expansion, and retention. - Productize insights into workflows used by Technical Success, Sales, RevOps, Finance, Product, and executive leadership. IN THIS ROLE, YOU WILL: - Define and lead the roadmap for GTM Intelligence and Technical Success insight products in partnership with cross-functional leaders. - Build the data science foundation for Technical Success, including core metrics, customer health definitions, intervention measurement, and reusable playbook analytics. - Develop propensity score models for model and product feature adoption, helping Technical Success and GTM identify which customers are most likely to adopt, which interventions can move adoption, and where support should focus. - Build, mentor, and lead a small team of data scientists and cross-functional analytics partners as the GTM Intelligence function scales. - Set technical standards for modeling, metrics, experimentation, documentation, and production readiness across the team's work. - Create team operating rhythms that balance urgent field needs with durable roadmap execution, quality review, and stakeholder alignment. - Build predictive and causal models for customer health, expansion propensity, churn risk, adoption depth, use-case fit, and intervention effectiveness. - Design next-best-action systems that identify account opportunities and risks, recommend playbooks, and explain the evidence behind each recommendation. - Partner with Technical Success leaders to enumerate playbooks and actions, instrument action tracking, and measure outcomes over time. - Develop customer segmentation and benchmarking frameworks across products, industries, personas, support tiers, and lifecycle stages. - Create scalable insight products that are embedded into field workflows rather than living only as one-off analyses or static dashboards. - Translate field feedback and account-level patterns into clear product and GTM recommendations for senior leadership. - Collaborate with Data Engineering and RevOps to improve the data foundations connecting product telemetry, Salesforce, support signals, revenue, and qualitative feedback. - Maintain a high bar for analytical rigor, including causal evaluation, validation, data quality, and clear caveats. YOU MIGHT THRIVE IN THIS ROLE IF YOU HAVE: - 10+ years of experience in applied data science, analytics, machine learning, quantitative strategy, or a closely related field. - Deep technical skill in SQL and Python, with the ability to move from raw tables to production-quality models, metrics, and decision systems. - Strong applied experience with statistical modeling, causal inference, machine learning, customer segmentation, churn or health modeling, or recommendation systems. - Experience with propensity score modeling, uplift modeling, or related causal methods for adoption, activation, retention, or product feature usage. - Experience building production or workflow-embedded data products for GTM, sales, customer success, technical success, growth, or enterprise SaaS teams. - Product intuition and business judgment for turning ambiguous questions into repeatable models, tools, metrics, and operating cadences. - Excellent communication skills, including the ability to distill complex analysis into clear recommendations for technical partners, field teams, and executives. - Comfort partnering across technical and non-technical teams, including Product, Engineering, Technical Success, Sales, RevOps, Finance, and Data Engineering. - A track record of operating autonomously in fast-moving environments and raising the quality of how teams use data to make decisions. - Experience leading teams or serving as a technical lead for multi-person data science initiatives, including mentoring, roadmap-setting, and quality review. - Ability to hire, develop, and retain strong data science talent while creating a collaborative, high-accountability team culture. - An advanced degree in a quantitative field, or equivalent practical experience. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "summaryDescription" : "Applied Data Science & Insights Leader - GTM Intelligence Solutions and Technical Success at OpenAI. Skills: Applied Data Science, Insights, GTM Intelligence, Technical Success. Define roadmap. Lead roadmap", "createdAt" : "2026-06-14T09:38:50.355", "lastUpdated" : "2026-06-15T12:51:46.275", "ingestTimestamp" : "2026-06-14T09:38:50.355", "mongoId" : "6a2cb02174d8ee00a09d8f96", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 441000, "salaryAnnualMax" : 515000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Statistical methods", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Leadership", "Mentoring", "Applied Data Science", "Insights", "GTM Intelligence", "Technical Success", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Modelling skills", "Roadmap execution", "Customer intelligence", "Customer adoption", "Product telemetry", "Customer health", "Revenue", "Support tier", "Commercial context", "Field activity", "Customer lifecycle", "GTM strategy", "Customer segmentation", "Product usage", "Customer behavior", "Customer feedback", "B2B business", "Customer success", "Product gaps", "Repeatable playbooks", "Customer escalations", "Missed opportunities", "Customer risk", "Expansion potential", "Product adoption", "Customer lifecycle stage", "Intervention effectiveness", "Customer outcomes", "Customer happy paths", "Durable adoption", "Customer retention", "Sales workflows", "Finance workflows", "Product workflows", "Executive leadership", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "SageMaker", "Vertex AI", "ML Studio" ], "skillCount" : 63, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69e104402beec4dd3def24e7", "title" : "Sr. Technical Program Manager (TPM), WW Promotions and Events Data and Insights", "company" : "Amazon Development Centre Canada ULC", "industry" : "Project/Program/Product Management--Technical, Technical Program Management, north america stores", "salary" : { "min" : 100000.0, "max" : 214000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, CAN", "locations" : [ "Vancouver, British Columbia, CAN" ], "timestamp" : "2026-06-15T03:05:25.517", "fingerprint" : "67523fa2822eb2f343c5f0c050a3a112db6c3e7e0bb301c4f2aa9194e3ef026e", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10386401/apply", "externalId" : "b2c90e6d-043c-4fa2-9465-37ad35178abe", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Data Engineering, Machine Learning, BI Engineering", "professionalSkills" : [ "Program Management", "Data Governance", "Business Analytics", "Product Development", "Roadmapping", "Metrics Development", "Stakeholder Management", "Requirements Definition", "Tradeoff Analysis" ], "hardSkillsList" : [ "Promotions Data Management", "Data Sourcing", "Data Execution", "Data Optimization", "Automated Mechanisms", "Self-Serve Mechanisms", "Metrics Measurement", "Impact Measurement", "Process Improvement", "Strategy Definition", "Technical Concept Communication" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Promotions Data Management", "level" : "intermediate" }, { "name" : "Data Sourcing", "level" : "intermediate" }, { "name" : "Data Execution", "level" : "intermediate" }, { "name" : "Data Optimization", "level" : "intermediate" }, { "name" : "Automated Mechanisms", "level" : "intermediate" }, { "name" : "Self-Serve Mechanisms", "level" : "intermediate" }, { "name" : "Metrics Measurement", "level" : "intermediate" }, { "name" : "Impact Measurement", "level" : "intermediate" }, { "name" : "Process Improvement", "level" : "intermediate" }, { "name" : "Strategy Definition", "level" : "intermediate" }, { "name" : "Technical Concept Communication", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Technical Program Management, Data Insights, Promotions Data", "majorSkillsList" : [ "Technical Program Management", "Data Insights", "Promotions Data" ], "coreResponsibilities" : "Own development and delivery of key programs, Lead planning, execution, and delivery of projects, Own communication for technical delivery, Support sprint planning and reporting, Support annual roadmapping cycles, Identify automated, self-serve mechanisms, Develop automated, self-serve mechanisms, Work with internal stakeholders to drive adoption, Support team in developing metrics, Measure metrics impact, Identify ways to improve metrics, Thrive working with stakeholders, Define strategy and requirements, Align on path forward, Communicate regularly with senior leadership, Make technical concepts intuitive", "teamCollaboration" : "Cross-organizational teams; Functional teams; Engineering teams; Machine Learning teams; Data Governance teams; Business teams; Senior leadership; Partner organizations; Key stakeholders across the Globe", "projectManagementSkills" : [ "Scope Management", "Schedule Management", "Budget Management", "Quality Management", "Risk Management", "Critical Path Management", "Process Building", "Release Schedule Coordination", "Roadmapping" ], "domainKnowledge" : "Promotions Data; Selling Partner Demand; Inventory Clearance; Traffic Growth; Machine Learning Models; Business Analytics; Promotions Execution; Promotions Optimization", "domainList" : [ "promotions-data", "selling-partner-demand", "inventory-clearance", "traffic-growth", "machine-learning-models", "business-analytics", "promotions-execution", "promotions-optimization" ], "domainSpecificKnowledge" : [ "Promotions Data", "Selling Partner Demand", "Inventory Clearance", "Traffic Growth", "Machine Learning Models", "Business Analytics", "Promotions Execution", "Promotions Optimization" ], "communicationSkills" : "Technical Delivery Communication; Senior Leadership Communication; Make concepts intuitive", "problemSolvingSkills" : "Identify opportunities; Complex tradeoffs", "outcomesObjectives" : "Drive millions in incremental revenue", "qualificationsBasic" : "5+ years technical program management, 7+ years working with engineering teams, 3+ years software development, 5+ years technical program management with software engineering teams, Experience managing cross functional teams, Experience building processes, Experience coordinating release schedules", "qualificationsPreferred" : "5+ years project management disciplines, Experience defining KPIs/SLAs, Reporting to senior leadership, Usage of generative AI tools, Willingness to learn AI prompting, Ability to recognize AI opportunities", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you have a passion for leading large, cross-organizational, and functional programs and initiatives? Are you looking for an opportunity to join a team that has a global and cross Amazon scope? If yes, we are looking for somebody with your enthusiasm and skills to work as part of our team. Amazon’s WW Promotions team drives time-bound discounts on high-quality products to reinforce our price leadership and empower Selling Partners (SPs) with incremental demand, inventory clearance, and traffic growth. As the central stewards of promotions data, our Data & Analytics team delivers trusted, governed datasets that power product development, machine learning models, and business analytics across Amazon. We are seeking a Senior Technical Program Manager to lead complex, cross-functional programs that enable the sourcing, execution, and optimization of promotions at scale. You will collaborate with engineering, machine learning, data governance, and business teams to design, launch, and iterate on programs that transform raw promotional data into actionable insights, driving millions in incremental revenue for Amazon and SPs. Key job responsibilities Key job responsibilities - Own the development and delivery of key programs across Data and BI engineering teams - Lead planning, execution, and delivery of projects across the different workstreams - Own communication for technical delivery across these projects with senior leadership and partner organizations - Support sprint planning and reporting for our engineering teams, and support annual roadmapping cycles - Identify and develop automated, self-serve mechanisms to scale currently manual processes where relevant, and work with internal stakeholders to drive adoption - Support the team in developing metrics, measuring their impact, and identifying ways to improve against them - Thrive in working with key stakeholders across the Globe to define strategy and requirements, and to align on a path forward when there are complex tradeoffs - Communicate regularly with senior leadership on status, risks, and change control - Make technical concepts intuitive for non-technical audiences, especially in regards to infrastructure constraints Basic Qualifications: - 5+ years of technical product or program management experience - 7+ years of working directly with engineering teams experience - 3+ years of software development experience - 5+ years of technical program management working directly with software engineering teams experience - Experience managing programs across cross functional teams, building processes and coordinating release schedules Preferred Qualifications: - 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience - Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules - Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership - Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices. - Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, BC, Vancouver - 128,100.00 - 214,000.00 CAD annually", "summaryDescription" : "Sr. Technical Program Manager (TPM), WW Promotions and Events Data and Insights at Amazon Development Centre Canada ULC. Skills: Technical Program Management, Data Insights, Promotions Data. Own development and delivery of key programs. 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"7cb2871c58c3bc83e19ad6f10e80025ca9ab0f681535df22e2e9322f47b0bf42", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/appfire/jobs/4702183005", "externalId" : "4702183005", "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, AWS, Snowflake, Terraform, Docker, Airflow, dbt, Fivetran, LLMs", "professionalSkills" : [ "Data warehousing", "Agile software development", "Data governance", "Data quality", "Data classification", "Data security", "System design" ], "hardSkillsList" : [ "ETL development", "Reverse ETL", "API integration", "Schema drift management", "Data ingestion", "Data quality checks", "PII management", "Automated data classification", "Masking policies", "Row-level security", "Column-level security", "Monitoring solutions" ], 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row-level security, Enforce column-level security, Develop monitoring solutions, Deploy governance strategies, Lead data projects, Gather requirements, Conduct UAT, Deploy to production, Champion best practices, Reduce technical debt, Write documentation, Provide technical mentorship, Provide soft-skill mentorship", "teamCollaboration" : "Internal partners; External partners; Business teams; Analytics teams; Engineering teams; Cross-departmental projects", "projectManagementSkills" : [ "Agile", "Project leadership", "Multitasking" ], "domainKnowledge" : "Data lifecycle; Data warehousing; Cloud infrastructure; Data lake; Data governance; Data security; AI development practices; LLM integration", "domainList" : [ "data-lifecycle", "data-warehousing", "cloud-infrastructure", "data-lake", "data-governance", "data-security", "ai-development-practices", "llm-integration" ], "domainSpecificKnowledge" : [ "Data lifecycle", "Data warehousing", "Cloud infrastructure", "Data lake", "Data 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"workSiteFlexibility" : "Remote", "rawDescription" : "At Appfire, we believe that great work happens when people get to choose how they work. After 20 years of creating software that empowers teams to break silos and collaborate seamlessly, we've learned that one size does not fit all. We’re a team of 800+ employees, working remotely across 28 countries. Our flagship products include: Appfire Flow, JXL, Comala Document Management, 7Pace Time Tracker, Jira Misc Workflow Extensions, and BigPicture. Here you can read some of our customer stories: https://appfire.com/resources/resource-library/customer-stories About the role: Data is the fuel behind Appfire's global footprint. We’ve grown fast, and now our focus has shifted toward building the most mature, high-performing data platform in our industry. We are looking for a Senior Data Engineer to take ownership of our core infrastructure, champion engineering excellence, and help shape the future of our data ecosystem. Leveraging your expert Python, SQL, and cloud infrastructure skills, you will develop pragmatic architectures that ensure stability and performance across the organization. As a key member of our central data insights team, you will evolve our custom data lake (\"firelake\" built on AWS and Snowflake). To accelerate our platform optimization efforts, you will ruthlessly eliminate technical debt, resolve edge cases, and introduce modern, AI-driven development practices. This isn't just about maintaining pipelines; it's about architecting a highly secure, resilient, and scalable foundation that empowers company-wide decision-making. If you love solving complex data puzzles, driving overarching data strategy, and seeing the direct impact of your work across an entire organization, let's talk. What you’ll do: Data Delivery Solution Lifecycle Ownership: Own the complete solution development lifecycle, from driving initial requirements to building Proof of Concepts (POCs) and Minimum Viable Products (MVPs), and continuously iterating to improve and scale production solutions. Data Delivery & Pipelines: Work closely with internal and external partners to stand up and optimize robust data delivery solutions. Build, manage, and scale complex data pipelines (ETL and reverse ETL) utilizing expert-level Python and Airflow. Custom Integrations: Develop standard integration patterns as well as custom data pipelines that interface with atypical APIs to efficiently extend our data delivery capabilities. Data Platform & Infrastructure Pragmatic Architecture: Architect and maintain highly efficient, cost-effective scalable data solutions and cloud infrastructure from scratch. Platform Evolution: Be the key driver in the evolution of our custom data lake (\"firelake\" built on AWS/Snowflake), serving as the ultimate subject matter expert on our tech stack and data infrastructure. Ingestion & Data Quality: Manage Fivetran and custom pipeline operations, proactively handle schema drift, and implement rigorous data quality checks to ensure we have ingested a true and accurate representation of all source systems. AI & Modern Engineering AI-Driven Efficiencies: Spearhead AI adoption in our daily engineering workflows to automate Pull Requests, enforce new \"definition of done\" standards, and accelerate CI/CD, test coverage, and release management. AI Implementation: Drive the integration of AI capabilities directly into our data solutions by interfacing with LLMs and developing intelligent assistants and agents to solve complex business problems. Continuous Innovation: Stay on the forefront of the rapidly evolving data landscape and drive proof-of-concepts for new tools to ensure we leverage best-in-class technologies to scale quickly. Data Governance & Security PII & Security Management: Implement advanced PII management by leveraging automated data classification techniques, applying masking policies, and enforcing sophisticated row-level and column-level security practices. Proactive Governance: Develop and deploy robust monitoring solutions and governance strategies to ensure accurate, secure data is available on time and to the correct audience. Leadership & Collaboration End-to-End Ownership: Autonomously lead 3-5 concurrent cross-departmental data projects, driving everything from requirements gathering and UAT to production deployment. Strategic Communication: Partner seamlessly with business, analytics, and engineering teams, translating complex technical architectures into relatable concepts to influence stakeholders and align goals. Engineering Excellence & Mentorship: Champion best practices, systematically reduce technical debt, write clear documentation, and provide both technical and soft-skill mentorship to junior team members. What you'll need: Engineering Background: 5+ years in a data or software engineering role with a deep understanding of the full data lifecycle, modern data warehousing, and agile software development best practices. Proven Delivery: 5+ years of experience autonomously building scalable data products, pipelines, and solutions that support company-wide systems and overarching business goals. Project Leadership: Exceptional personal organization and multitasking skills, with the ability to work with minimal supervision while driving 3-5 concurrent cross-departmental projects. Technical Expertise Data Warehousing & SQL: 5+ years of advanced SQL optimization and complex ETL/ELT pipeline development, with extensive, hands-on experience in Snowflake. Advanced Python & Development: 5+ years of advanced Python programming. Cloud Infrastructure & IaC: 5+ years of experience designing and maintaining AWS cloud environments. Strong, hands-on proficiency with Terraform and Docker is required. Orchestration & Ingestion: Deep operational experience with Airflow for orchestration, dbt (3+ years) for transformation, and familiarity with managing Fivetran pipelines. Architecture & Practices Pragmatic Architecture: Proven ability to design pragmatic, cost-effective architectures from scratch that prioritize security, scalability, and high performance without over-engineering. Engineering Excellence: Incredibly strong troubleshooting skills with a ruthless dedication to reducing technical debt, optimizing CI/CD pipelines, and enforcing strict version control and testing standards. Data Governance: Solid understanding of modern data governance principles, including automated data classification, PII masking, and row/column-level access controls. Communication & Leadership Strategic Communication: Strong written and verbal skills, with a proven ability to translate and simplify complex technical architectures to both engineering peers and non-technical business stakeholders. Mentorship: A team-oriented mindset with a passion for coaching and providing constructive feedback to junior team members. Bonus Points (Standout Qualifications) MLOps Strategy: Experience in or foundational knowledge of MLOps. You can provide recommendations and establish best practices to guide our strategic expansion into this space. Applied AI: Experience interfacing with LLMs, creating AI agents, or leveraging AI tools to accelerate daily engineering workflows (e.g., automating code reviews, CI/CD enhancements). What we offer: Equity: every Appfire team member is eligible for company equity, fostering a genuine sense of ownership and shared success as we continue to grow. Paid Time Off: we believe in providing the flexibility needed to maintain a healthy work-life balance. Appfire offers: Unlimited Paid Time Off (PTO) 10 paid company holidays annually Health & Wellness Benefits: Appfire provides a comprehensive benefits package designed to support employees and their families: Medical insurance fully covered by Appfire (100% employer-paid) Dental insurance with costs shared 50/50 between Appfire and employees Vision insurance Group Term Life Insurance Voluntary Life Insurance Critical Illness coverage Accident Insurance Long-Term Disability coverage Employee Assistance Program (EAP) In addition, employees are eligible for fitness and wellness reimbursements through our benefits provider. Learning & Development: grow your skills and advance your career through Appfire University, our custom on-demand learning platform designed to support continuous professional development. Community Impact & Volunteering: giving back is an important part of our culture. Every employee receives three fully paid volunteer days per year to participate in our Corporate Social Responsibility (CSR) initiatives and support local communities. Additional Benefits: Appfire offers a range of programs to support employees both professionally and financially: Flexible Spending Accounts (FSA) Monthly remote-work stipend Dedicated Amazon account for ordering approved equipment and peripherals Competitive 401(k) plan with company matching to help build long-term financial security Flexibility That Fits How You Work Best: this role is fully remote and can be performed anywhere within the United States. For those who prefer an office environment—or simply enjoy connecting with colleagues in person—Appfire also offers access to our offices in Boston, Burlington, and New York. Market recognition Appfire has been consistently recognized for company growth, culture, corporate social responsibility, and product excellence and has been included among the Deloitte Technology Fast 500, Inc. Best Workplaces, BuiltIn Best Places to Work, and Inc. 5000. Learn more about our accomplishments, which would not be possible without our team members, partners, and customers: https://appfire.com/awards. Equal Employer Opportunity (EEO) Appfire is an equal opportunity employer and does not discriminate based on race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, veteran status, or any other protected characteristic as defined by applicable law. Our commitment extends to all employment practices, including recruitment, hiring, training, promotion, compensation, benefits, and termination.", "summaryDescription" : "Senior Data Engineer - Data Insights at Appfire. Skills: Data engineering, Cloud infrastructure, Data platform architecture. Own solution development lifecycle. 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"llmIndustryConfidence" : 0.9 }, { "id" : "6a2c7ab774d8ee00a0946892", "title" : "Power Markets Modelling and Insights Lead", "company" : "Baringa", "industry" : "Consulting", "salary" : { "min" : 220000.0, "max" : 300000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Lead Power Markets Modelling and Insights role in Sydney, Australia, adjusted for the energy industry and company size." }, "location" : "Sydney", "locations" : [ "Sydney" ], "timestamp" : "2026-06-15T11:10:54.787", "fingerprint" : "ea232c6d0dafcf600d921f91388b9c5c34b9d885a8cad9988a4861ed93c77eac", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/baringa/jobs/4874997101", "externalId" : "4874997101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sydney", "state" : "New South Wales", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-33.8698439,151.2082848" } ], "locationText" : "Sydney, New South Wales, Australia", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python, Aimms, R, VBA, SQL", "professionalSkills" : [ "Market analysis", "Product development", "Data architecture" ], "hardSkillsList" : [ "Modelling", "Analytics", "Market projections" ], "hardSkills" : [ { "name" : "Modelling", "level" : "intermediate" }, { "name" : "Analytics", "level" : "intermediate" }, { "name" : "Market projections", "level" : "intermediate" } ], "majorSkills" : "Power market modelling, Energy market insights, Product roadmap", "majorSkillsList" : [ "Power market modelling", "Energy market insights", "Product roadmap" ], "coreResponsibilities" : "Deliver Power Market projections, Manage a team of modellers, Manage market experts, Develop new models, Analyse the Energy market, Shape product roadmap, Build understanding of client needs, Translate market insights, Collaborate with leadership, Embed best practice, Evolve best practice, Ensure consistency, Ensure scalability, Drive development of data architecture, Lead development of new power market models, Build relationships with consulting team, Provide support with models", "teamCollaboration" : "Global Products Team; Commercial leadership; Energy Advisory leadership; Consulting team", "projectManagementSkills" : [ "Product roadmap" ], "domainKnowledge" : "Energy sector; Power market fundamentals; Market design; Electricity market outcomes; Australia energy market", "domainList" : [ "energy-sector", "power-market-fundamentals", "market-design", "electricity-market-outcomes", "australia-energy-market" ], "domainSpecificKnowledge" : [ "Energy sector", "Power market fundamentals", "Market design", "Electricity market outcomes", "Australia energy market" ], "toolProficiency" : [ "PLEXOS" ], "qualificationsBasic" : "Managing modelling/analytics teams, Developing power market models, Understanding power market fundamentals, Understanding market design, Understanding electricity market outcomes", "qualificationsPreferred" : "Shaping a Product Team strategy, Associated prioritised Product Roadmap", "workSiteFlexibility" : "Flexible", "rawDescription" : "About Baringa Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding. The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence – all powered by advanced technology, data, AI and digital innovation. Clients value Baringa’s collaborative approach and the way its teams integrate seamlessly – all working with a shared understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors. Certified as a Great Place to Work around the world, Baringa has been recognised by the Financial Times in 22 categories of its UK Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World’s Best Management Consulting Firms. We are looking for an experienced Modelling and Insights Lead to join our market-leading Australian Energy practice in Sydney or Melbourne. Our global Energy practice offers our clients an unparalleled combination of energy market expertise and commercial insight. We are proud to work with the foremost policymakers, regulators, investors, developers, lenders, and energy companies operating globally across the energy supply chain. Led by a Senior Management Team respected as Thought Leaders within the industry, we help our clients shape, define, and implement change in energy markets. Within this global practice, our Energy Products Business develops and commercialises the firm’s insights and SaaS product offerings, serving clients across approximately 65 countries. Built on a shared stack of power, gas, energy system and asset models, it brings the firm’s expertise and analytical capability to market in standardised, scalable forms. The team is cross-functional, spanning product management, quantitative modelling, and software and data engineering, organised into small, outcome-focused squads working at the intersection of deep analytical expertise and commercial product delivery. We are now looking for a talented Senior Modelling and Insights expert to join our Energy Products team. You will be managing the delivery of Baringa’s market leading quarterly Power Market Reports, managing a team of modellers and market experts within our Products Team. You will work at the forefront of our industries, managing and developing new and existing models to analyse the Energy market for a range of blue-chip, global clients. Our market leading growth along with our continued ambitious expansion plans mean that we can continue to offer our employees the progression, development and diverse range of work they are looking for. What you will be doing Responsible for the delivery of Baringa’s leading quarterly Power Market projections and analytics for Australia, as well as new products due for launch into our global product suite Shape and drive the product roadmap by building a deep understanding of client needs, translating market insights into prioritised development initiatives, and collaborating closely with Commercial and Energy Advisory leadership to ensure alignment with client demand and growth strategy. Collaborate with the global Products Team to embed and evolve best practice across modelling and technology deployment, ensuring consistency, scalability and continuous improvement in our product offering. Lead and develop a team of modellers and market experts Drive the development of our data architecture Lead the development of new power market models in our existing toolkit - PLEXOS Build relationships with our consulting team, to provide support with new and existing models Your skills and experience Proven track record of managing modelling/analytics teams in the energy sector Proven experience of developing power market models and projections, using tools such as: Python, Aimms, R, VBA, SQL, PLEXOS Strong understanding of power market fundamentals, market design and the key drivers shaping electricity market outcomes in Australia Interest or experience in shaping a Product Team strategy and associated prioritised Product Roadmap Ability to communicate complex concepts and modelling results succinctly to both technical and non-technical colleagues, and present these results to clients Experience of deploying LLMs and agentic AI in an analytical and/or development environment Experience of or interest in working in an agile environment Experience of managing senior stakeholders What a career at Baringa will give you Putting People First. Baringa is a People First company and wellbeing is at the forefront of our culture. We recognise the importance of work-life balance and flexible working and provide our staff amazing benefits. Some of these benefits include: Generous Annual Leave Policy: We recognise everyone needs a well-deserved break. We provide our employees with 5 weeks of annual leave, fully available at the start of each year. In addition to this, we have introduced our 5-Year Recharge benefit which allows all employees an additional 2 weeks of paid leave after 5 years continuous service. Flexible Working: We know that the ‘ideal’ work-life balance will vary from person to person and change at different stages of our working lives. To accommodate this, we have implemented a hybrid working policy and introduced more flexibility around taking unpaid leave. Corporate Responsibility Days: Our world is important to us, so all our employees get 3 every year to help social and environmental causes and increase our impact on the communities that mean the most to us. Wellbeing Fund: We want to encourage all employees to take charge and prioritise their own wellbeing. We’ve introduced our annual People Fund to support this by offering every individual a fund to support and manage their wellbeing through an activity of their choice. Profit Share Scheme: All employees participate in the Baringa Group Profit Share Scheme so everyone has a stake in the company’s success. Diversity and Inclusion We are proud to be an Equal Opportunity Employer. We believe that creating an environment where everyone feels a sense of belonging is central to our culture and that diversity is paramount to driving creativity, innovation, and value for our clients and for our people. An award-winning workplace You can be a part of our ‘Great Place to Work’ – with our commitment to women and well-being in the workplace for all. Click here to see some of our recent awards and how we’ve achieved this. Using business as a force for good. We maintain high standards of environmental performance and transparency, which can be seen through our commitment to Net Zero with our SBTI-verified Scope 1, 2 and 3 emissions reduction targets and our support of the Better Business Act. We report our progress publicly and ensure that we are also externally assessed and scored through organisations like CDP and EcoVadis - helping us to continually identify where we can improve. We have a long legacy of supporting the communities in which we work, and offer a variety of ways to contribute, by putting people first and creating impact that lasts. Our Corporate Social Responsibility (CSR) agenda is about giving back to the communities in which we live and work by sharing our skills, talent and time. In essence, we aim to empower and encourage everyone in the firm to contribute to the things we care about, and support registered charities and organisations with a clear social or environmental purpose to increase the positive impact they can have. Join us All applications received will be reviewed by a member of our Talent Acquisition team. We never rely solely on automated screening or AI tools to make hiring decisions. Your application will be considered for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, faith or social background. We do not filter applications by university background and encourage those who have taken alternative educational and career paths to apply. We would like to actively encourage applications from those who identify with less represented and minority groups. We operate an inclusive recruitment process, ensuring reasonable adjustments where needed. Please contact a member of our Recruitment Team to discuss further. Baringa Privacy Notices For UK & EU Your personal data will be retained by Baringa for up to two years, in accordance with our UK Recruitment Privacy Notice / EU Recruitment Privacy Notice, to evaluate your application and meet our legal and reporting obligations. In line with the General Data Protection Regulation (GDPR), you have the right to request access to, rectification, or erasure (subject to legal limitations) of your personal data. For more information, please contact us at privacy@baringa.com For the USA Your personal data may be retained by Baringa for up to two years, as outlined in our Recruitment Privacy Notice (AMER & APAC), to support the recruitment process and internal reporting requirements. Where applicable, and in accordance with relevant federal and state laws, you may have the right to request access to or correction of your personal information. For further details, please contact privacy@baringa.com For Australia & Singapore Your personal data will be retained by Baringa for up to two years, in accordance with our Recruitment Privacy Notice (AMER & APAC), to assess your application and meet applicable reporting and legal obligations. In line with the Australian Privacy Act and Singapore’s Personal Data Protection Act (PDPA), you may have rights to access, correct, or request limited deletion of your personal data. For more information, please contact us at privacy@baringa.com", "summaryDescription" : "Power Markets Modelling and Insights Lead at Baringa. Skills: Power market modelling, Energy market insights, Product roadmap. Deliver Power Market projections. Manage a team of modellers", "postedDate" : "2026-06-13T21:09:32.133", "createdAt" : "2026-06-13T21:09:32.133", "lastUpdated" : "2026-06-15T11:10:54.787", "ingestTimestamp" : "2026-06-13T21:09:32.133", "mongoId" : "6a2c7ab774d8ee00a0946892", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Modelling", "Analytics", "Market projections", "Power market modelling", "Energy market insights", "Product roadmap", "Market analysis", "Product development", "Data architecture", "Energy sector", "Power market fundamentals", "Market design", "Electricity market outcomes", "Australia energy market", "PLEXOS" ], "skillCount" : 15, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3074c8f292fd229c00949c", "title" : "Support Operations Data Analyst", "company" : "Harvey", "industry" : "User Operations", "salary" : { "min" : 112000.0, "max" : 168000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York", "locations" : [ "New York" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T09:07:52.715", "fingerprint" : "e86340a7f1f008fb08f358eba99362f8cbb1cbcd3cf6923750b200c59b343674", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/harvey/f8857e81-4062-4669-a7e3-7b73b114979b/application", "externalId" : "f8857e81-4062-4669-a7e3-7b73b114979b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data engineering", "ML/AI", "BI development", "Data warehousing", "ETL processes", "Data visualization", "Statistical modeling", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "ML/AI", "level" : "intermediate" }, { "name" : "BI development", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, Data Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and optimize data models, Design and implement BI solutions, Perform statistical analysis, Develop and deploy ML models, Collaborate with stakeholders, Ensure data quality and integrity, Monitor and troubleshoot data systems", "teamCollaboration" : "Cross-functional teams; Stakeholder engagement", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "problemSolvingSkills" : "Data-driven decision making; Troubleshooting", "qualificationsBasic" : "5+ years of experience, Bachelor's degree in Statistics, Computer Science, Mathematics, or related field, Proficiency in SQL", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "remoteFriendly" : true, "rawDescription" : "WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW User Operations runs on data — but right now, that data lives in too many places, speaks too many languages, and reaches the wrong people too late. This role exists to fix that. As Harvey's first Support Operations Data Analyst, you'll own the analytics function for the User Operations org. You'll build and maintain the dashboards, reports, and feedback loops that tell us whether we're hitting our north stars — cSAT, TTR, QA scores, escalation rates — and surface the signal underneath the numbers so we can act on it. You'll sit within the Support Operations team, reporting to the Support Operations Manager, and work closely with User Operations leadership and Harvey's central data team to ensure the org is equipped with the right instrumentation as we scale. This is a solo role. You won't have a team beneath you. You will need to be fluent enough in support analytics to hold the function independently, confident enough to push back on how metrics are framed, and fast enough to operate at Harvey's pace. WHAT YOU'LL DO - Own recurring reporting for User Operations — weekly, monthly, and QBR-ready — tailored to ops, leadership, and cross-functional audiences - Translate support data into clear narratives: what's happening, why, and what to do about it - Track and maintain north star metrics: cSAT, TTR by tier, QA scores, bug escalation rate to EPD, and First Response Time - Build and maintain self-serve dashboards that give the ops team and leadership real-time visibility into support performance - Partner with Support Systems to ensure Zendesk is instrumented to capture the data we need - Work with Harvey's central data team to connect support data to broader product and customer data sources - Identify and close data collection gaps — if we can't measure it, help define how we should - Design feedback loops that connect support signals to Product, Engineering, and Customer Success - Quantify the operational cost of product bugs, feature gaps, and onboarding failures - Contribute to QA analytics as the QA program matures - Track ticket deflection, AI/chatbot performance, and self-service effectiveness - Measure the impact of AI-driven support — containment rate, escalation rate from AI interactions, resolution quality — and surface findings that drive how we tune and invest in those tools - Support ad hoc analytical requests from the Support Operations Manager, User Operations leadership, and senior stakeholders WHAT YOU HAVE Required - 3–5 years of experience in analytics, with at least 2 years directly in support operations, customer success operations, or a closely adjacent function - Fluency in support platform data — you know how Zendesk (or equivalent) is structured, what data it produces, and what it doesn't - SQL proficiency — you can write complex queries against large datasets without hand-holding (CTEs, window functions, joins across schemas) - Dashboard experience — you've built and maintained operational dashboards in Looker, Tableau, Sigma, Omni, or equivalent - Reporting for multiple audiences — you know the difference between what a frontline manager needs and what a CFO needs, and you build accordingly - Strong data storytelling — you don't just present numbers, you write the narrative - Comfort operating solo — you don't need a team around you to deliver, and you don't need a ticket to tell you what to look at Strong Plus - Experience with Python for data manipulation or automation - Familiarity with dbt or similar data transformation tooling - Experience building or contributing to QA analytics programs - Background supporting enterprise SaaS or AI-native products - Experience working with Zendesk APIs or extracting data beyond standard reporting Key Attributes - AI-native: you use AI tooling actively in your analytical workflows — not as a novelty, but as a force multiplier - Pace: you move in hours and days, not weeks. You surface findings before anyone has to ask - Judgment: you know which metrics matter and which are vanity. You push back when framing is wrong - Clarity: your outputs are direct, jargon-free, and actionable. You write for the reader, not yourself - Ownership: you treat User Operations analytics as your problem to solve, not a ticket queue to process COMPENSATION $112,000 - $168,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-ML1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai", "summaryDescription" : "Support Operations Data Analyst at Harvey. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and maintain data pipelines. Build and optimize data models", "createdAt" : "2026-06-16T00:27:42.363", "lastUpdated" : "2026-06-16T09:07:52.715", "ingestTimestamp" : "2026-06-16T00:27:42.363", "mongoId" : "6a3074c8f292fd229c00949c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 112000, "salaryAnnualMax" : 168000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data engineering", "ML/AI", "BI development", "Data warehousing", "ETL processes", "Data visualization", "Statistical modeling", "A/B testing", "Causal inference", "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "skillCount" : 52, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "6a3074c8f292fd229c00949a", "title" : "Support Operations Data Analyst", "company" : "Harvey", "industry" : "User Operations", "salary" : { "min" : 112000.0, "max" : 168000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T13:40:39.455", "fingerprint" : "6e5861a0ce04d60da6552f1bed0459f161a3df76a2846d35d41b05a337122c37", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/harvey/e69f2050-b4c0-4fbb-9852-2c60d2adbb45/application", "externalId" : "e69f2050-b4c0-4fbb-9852-2c60d2adbb45", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Dbt Cloud, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio, Athena, S3, Glue", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data engineering", "Machine learning", "AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "AI", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Analytics engineering", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "majorSkills" : "Data Science, Data Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and deploy machine learning models, Create and manage BI dashboards, Perform statistical analysis, Collaborate with stakeholders to define data requirements, Ensure data quality and integrity, Optimize data infrastructure, Stay updated on industry trends", "teamCollaboration" : "Cross-functional teams; Stakeholders", "domainKnowledge" : "Cloud data services; ML frameworks; BI platforms; Cloud data stacks; Modelling skills", "domainList" : [ "cloud-data-services", "ml-frameworks", "bi-platforms", "cloud-data-stacks", "modelling-skills" ], "domainSpecificKnowledge" : [ "Cloud data services", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Data-driven decision making", "qualificationsBasic" : "5+ years of experience in data analytics, Proficiency in SQL, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "Master's degree or PhD preferred, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW User Operations runs on data — but right now, that data lives in too many places, speaks too many languages, and reaches the wrong people too late. This role exists to fix that. As Harvey's first Support Operations Data Analyst, you'll own the analytics function for the User Operations org. You'll build and maintain the dashboards, reports, and feedback loops that tell us whether we're hitting our north stars — cSAT, TTR, QA scores, escalation rates — and surface the signal underneath the numbers so we can act on it. You'll sit within the Support Operations team, reporting to the Support Operations Manager, and work closely with User Operations leadership and Harvey's central data team to ensure the org is equipped with the right instrumentation as we scale. This is a solo role. You won't have a team beneath you. You will need to be fluent enough in support analytics to hold the function independently, confident enough to push back on how metrics are framed, and fast enough to operate at Harvey's pace. WHAT YOU'LL DO - Own recurring reporting for User Operations — weekly, monthly, and QBR-ready — tailored to ops, leadership, and cross-functional audiences - Translate support data into clear narratives: what's happening, why, and what to do about it - Track and maintain north star metrics: cSAT, TTR by tier, QA scores, bug escalation rate to EPD, and First Response Time - Build and maintain self-serve dashboards that give the ops team and leadership real-time visibility into support performance - Partner with Support Systems to ensure Zendesk is instrumented to capture the data we need - Work with Harvey's central data team to connect support data to broader product and customer data sources - Identify and close data collection gaps — if we can't measure it, help define how we should - Design feedback loops that connect support signals to Product, Engineering, and Customer Success - Quantify the operational cost of product bugs, feature gaps, and onboarding failures - Contribute to QA analytics as the QA program matures - Track ticket deflection, AI/chatbot performance, and self-service effectiveness - Measure the impact of AI-driven support — containment rate, escalation rate from AI interactions, resolution quality — and surface findings that drive how we tune and invest in those tools - Support ad hoc analytical requests from the Support Operations Manager, User Operations leadership, and senior stakeholders WHAT YOU HAVE Required - 3–5 years of experience in analytics, with at least 2 years directly in support operations, customer success operations, or a closely adjacent function - Fluency in support platform data — you know how Zendesk (or equivalent) is structured, what data it produces, and what it doesn't - SQL proficiency — you can write complex queries against large datasets without hand-holding (CTEs, window functions, joins across schemas) - Dashboard experience — you've built and maintained operational dashboards in Looker, Tableau, Sigma, Omni, or equivalent - Reporting for multiple audiences — you know the difference between what a frontline manager needs and what a CFO needs, and you build accordingly - Strong data storytelling — you don't just present numbers, you write the narrative - Comfort operating solo — you don't need a team around you to deliver, and you don't need a ticket to tell you what to look at Strong Plus - Experience with Python for data manipulation or automation - Familiarity with dbt or similar data transformation tooling - Experience building or contributing to QA analytics programs - Background supporting enterprise SaaS or AI-native products - Experience working with Zendesk APIs or extracting data beyond standard reporting Key Attributes - AI-native: you use AI tooling actively in your analytical workflows — not as a novelty, but as a force multiplier - Pace: you move in hours and days, not weeks. You surface findings before anyone has to ask - Judgment: you know which metrics matter and which are vanity. You push back when framing is wrong - Clarity: your outputs are direct, jargon-free, and actionable. You write for the reader, not yourself - Ownership: you treat User Operations analytics as your problem to solve, not a ticket queue to process COMPENSATION $112,000 - $168,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-ML1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai", "summaryDescription" : "Support Operations Data Analyst at Harvey. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and maintain data pipelines. 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By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW User Operations runs on data — but right now, that data lives in too many places, speaks too many languages, and reaches the wrong people too late. This role exists to fix that. As Harvey's first Support Operations Data Analyst, you'll own the analytics function for the User Operations org. You'll build and maintain the dashboards, reports, and feedback loops that tell us whether we're hitting our north stars — cSAT, TTR, QA scores, escalation rates — and surface the signal underneath the numbers so we can act on it. You'll sit within the Support Operations team, reporting to the Support Operations Manager, and work closely with User Operations leadership and Harvey's central data team to ensure the org is equipped with the right instrumentation as we scale. This is a solo role. You won't have a team beneath you. You will need to be fluent enough in support analytics to hold the function independently, confident enough to push back on how metrics are framed, and fast enough to operate at Harvey's pace. WHAT YOU'LL DO - Own recurring reporting for User Operations — weekly, monthly, and QBR-ready — tailored to ops, leadership, and cross-functional audiences - Translate support data into clear narratives: what's happening, why, and what to do about it - Track and maintain north star metrics: cSAT, TTR by tier, QA scores, bug escalation rate to EPD, and First Response Time - Build and maintain self-serve dashboards that give the ops team and leadership real-time visibility into support performance - Partner with Support Systems to ensure Zendesk is instrumented to capture the data we need - Work with Harvey's central data team to connect support data to broader product and customer data sources - Identify and close data collection gaps — if we can't measure it, help define how we should - Design feedback loops that connect support signals to Product, Engineering, and Customer Success - Quantify the operational cost of product bugs, feature gaps, and onboarding failures - Contribute to QA analytics as the QA program matures - Track ticket deflection, AI/chatbot performance, and self-service effectiveness - Measure the impact of AI-driven support — containment rate, escalation rate from AI interactions, resolution quality — and surface findings that drive how we tune and invest in those tools - Support ad hoc analytical requests from the Support Operations Manager, User Operations leadership, and senior stakeholders WHAT YOU HAVE Required - 3–5 years of experience in analytics, with at least 2 years directly in support operations, customer success operations, or a closely adjacent function - Fluency in support platform data — you know how Zendesk (or equivalent) is structured, what data it produces, and what it doesn't - SQL proficiency — you can write complex queries against large datasets without hand-holding (CTEs, window functions, joins across schemas) - Dashboard experience — you've built and maintained operational dashboards in Looker, Tableau, Sigma, Omni, or equivalent - Reporting for multiple audiences — you know the difference between what a frontline manager needs and what a CFO needs, and you build accordingly - Strong data storytelling — you don't just present numbers, you write the narrative - Comfort operating solo — you don't need a team around you to deliver, and you don't need a ticket to tell you what to look at Strong Plus - Experience with Python for data manipulation or automation - Familiarity with dbt or similar data transformation tooling - Experience building or contributing to QA analytics programs - Background supporting enterprise SaaS or AI-native products - Experience working with Zendesk APIs or extracting data beyond standard reporting Key Attributes - AI-native: you use AI tooling actively in your analytical workflows — not as a novelty, but as a force multiplier - Pace: you move in hours and days, not weeks. You surface findings before anyone has to ask - Judgment: you know which metrics matter and which are vanity. You push back when framing is wrong - Clarity: your outputs are direct, jargon-free, and actionable. You write for the reader, not yourself - Ownership: you treat User Operations analytics as your problem to solve, not a ticket queue to process COMPENSATION $112,000 - $168,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-ML1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai", "summaryDescription" : "Support Operations Data Analyst at Harvey. Skills: Data science, Data engineering, Machine learning, Business intelligence", "createdAt" : "2026-06-16T00:25:42.801", "lastUpdated" : "2026-06-16T08:05:04.381", "ingestTimestamp" : "2026-06-16T00:25:42.801", "mongoId" : "6a3074c8f292fd229c009499", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 112000, "salaryAnnualMax" : 168000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Quantitative analysis", "Data modeling", "Statistical analysis", "Analytics engineering", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "skillCount" : 43, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c5e4974d8ee00a08e2c07", "title" : "Vice President, Research and Insights", "company" : "Prosek Partners", "industry" : "Communications", "salary" : { "min" : 150000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NY, United States", "locations" : [ "New York", "NY", "United States" ], "timestamp" : "2026-06-15T00:27:53.965", "fingerprint" : "9a0d6c270c8fc505dc7f79202eb8b0b81ee17c3d0e6d83ce709aeacc3f97639b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/prosek/jobs/7733556", "externalId" : "7733556", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "technicalSkills" : "AI, Python, SQL", "professionalSkills" : [ "Data-driven planning", "Client counseling", "Research methodologies", "Predictive risk", "Crisis assessment", "Whitespace analyses", "Narrative intelligence", "Influencer identification", "Audience analysis", "New business proposals", "Data integration", "Data visualization" ], "hardSkillsList" : [ "Quantitative research", "Statistical analysis", "Writing skills", "Presentation skills" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Quantitative research", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Writing skills", "level" : "intermediate" }, { "name" : "Presentation skills", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Research and analytics, AI analytics, Data insights", "majorSkillsList" : [ "Research and analytics", "AI analytics", "Data insights" ], "coreResponsibilities" : "Lead integrated client teams, Ensure data-driven planning, Ensure data-driven execution, Ensure data-driven content development, Serve as strategic counselor, Lead day-to-day client contact, Oversee research projects, Manage research projects, Create measurement frameworks, Implement measurement frameworks, Create research methodologies, Implement research methodologies, Conduct global qualitative research, Conduct global quantitative research, Analyze research results, Monitor media, Assess predictive risk, Assess crisis risk, Conduct whitespace analyses, Perform competitive analysis, Perform media landscape analysis, Analyze narrative intelligence, Identify influencers, Vet influencers, Analyze audiences, Develop new business proposals, Present data, Present insights, Develop reports, Mentor reports, Provide feedback, Hold reports accountable, Conduct reviews, Oversee professional development, Oversee budget creation, Monitor program budgets, Review written materials, Edit written materials, Manage flow of account work, Ensure client objectives are met, Champion the team, Motivate team members, Engage team members, Work to potential, Give team members feedback, Contribute to new business development, Lead RFP responses, Write proposals, Pitch clients, Prospect clients, Recruit new hires, Evaluate potential new hires", "teamCollaboration" : "Integrated client teams; Cross-functional teams; Digital teams; Creative teams; Content teams; PR teams", "projectManagementSkills" : [ "RFP responses", "Proposal writing" ], "domainKnowledge" : "Communications channels; Financial services; Professional services; B2B communications", "domainList" : [ "communications-channels", "financial-services", "professional-services", "b2b-communications" ], "domainSpecificKnowledge" : [ "Communications channels", "Financial services", "Professional services", "B2B communications" ], "toolProficiency" : [ "Talkwalker", "SignalAI", "StatSocial", "Microsoft Suite", "Looker", "Tableau", "PowerBI" ], "communicationSkills" : "Presenting data; Writing skills; Presentation skills", "continuousLearning" : "Custom career opportunities", "innovationCreativity" : "Brainstorming; Creative strategy planning", "problemSolvingSkills" : "Extrapolating data; Data-driven decision making", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Who is Prosek? We are entrepreneurial. Prosek is one of the largest independent communications and marketing firms in the U.S., with offices and strategic partners across the country and worldwide. We are specialized. Prosek provides unparalleled expertise for some of the most notable brands in financial services, professional services, and beyond. We are people centric. Our teams work together in a collegial atmosphere that breeds professional respect and friendship. We are award-winning. Join an \"Army of Entrepreneurs\" that was recently named 2026Global Agency of the Year by PRovoke Media. Overview: We're currently seeking a Vice President to join our growing Data and Analytics team. The Vice President (VP) plays a critical leadership role on the team and across the firm. You are expected to have the skills and behaviors needed to up-level client work, build culture and drive growth for the firm. While you should be a big-picture thinker, you also need to be able to lead and inspire teams to turn big ideas into action. Most of all, you need to be an incredible people manager who enjoys developing and mentoring junior staff, a critical aspect of our growing team. In this role, you must be an expert in research and analytics across communications channels, skilled at leveraging AI and adept at extrapolating data to find the “so what” for clients. This candidate will be expected to conduct primary and secondary research to inform strategy, monitor earned, social and owned activity across relevant platforms and develop insightful and actionable reports for executives. At Prosek, everyone is expected to be a strong team player, participating in brainstorming and creative strategy planning for clients and internal projects. Our culture is built around being an \"Army of Entrepreneurs,\" and we encourage everyone to embrace that and be the \"writer of their own story.\" What you'll be doing: Lead integrated client teams to ensure data-driven planning, execution and content development Serve as a strategic counselor and lead day-to-day client contact for key client relationships Oversee and manage research and analytics projects independently including, but not limited to: Creation and implementation of measurement frameworks and research methodologies Global qualitative and quantitative research studies (i.e., writing questionnaires, overseeing data collection, analyzing results) Media monitoring, predictive risk and crisis assessment Whitespace analyses (i.e., competitive and media landscape analysis) Narrative intelligence Influencer identification and vetting Audience analysis AI analytics Development of new business proposals Presenting data and insights to tell a clear and compelling story of impact Develop and mentor reports through coaching, consistently providing feedback, holding them accountable, conducting their reviews, and overseeing their professional development Demonstrate an expert understanding of the data oversee creation and ongoing monitoring of program budgets Be responsible for reviewing and editing all written materials developed by account team and assist team members with fine-tuning their writing skills Manage the flow of account work among junior team members to ensure that client objectives are met Act as \"champion\" of the team and ensure that the staff is motivated, engaged and working to potential and proactively give team members feedback Contribute to new business development, including leading RFP responses, proposal writing, client pitches and prospecting Become involved in recruiting and evaluate potential new hires to determine if they would work well with Prosek What makes you qualified: 10-12 years of experience Strong command of data & analytics measurement and monitoring tools (including Talkwalker/SignalAI or similar platforms, StatSocial) Expert understanding of primary quantitative research Strong statistical, writing and presentation skills Strong eye for detail Experience in financial services, professional services, technology and/or B2B communications Ability to manage cross-functional integrated teams and form relationships across digital, creative, content and PR Adept in Microsoft Suite (Outlook, Excel, PowerPoint, etc.) Experience vetting and selecting research vendors and managing project budgets Experience in data integration and visualization platforms and practices preferred, but not required (Looker, Tableau, PowerBI, Python, etc.) Readiness to deliver excellent client service and be a member of a growing team Ability to maintain and grow the collective culture and value of the Data and Analytics team and Prosek as a whole What are the perks? 401(k) employer match: There is no time like the present to prepare for your future! Premium healthcare plans, including medical, dental and vision coverage: Your health comes first. Hybrid work model: 2 days in the office, 3 days from home - Pick your own schedule. 2 weeks of remote work per year: You do you! Generous Paid Time Off (PTO) package including birthday PTO: Enjoy life's moments. Custom career opportunities: Choose your own adventure! Our Core Values: Chemistry, Collaboration and Belonging: Our collegial culture inspires people with different perspectives and backgrounds to work towards common goals as we brainstorm, plan and execute on behalf of our clients and to build our business together. Grit and Hustle: We work hard. We roll up our sleeves. We are not precious or pretentious. We do not take short cuts. Instead, we put in the work and do what it takes to get the job done. The Excitement of New Challenges: We view challenges as opportunities and embrace them. They motivate us to learn and grow so that we can be the best versions of ourselves, for our clients and each other. A Workplace with Humanity: We recognize the rigor and demand of our work. We also recognize that life inside and outside of Prosek can be stressful. We work very hard to run our business with a heavy dose of humanity and to make Prosek a safe place where people enjoy the work and each other. Our Beliefs on Culture, Diversity & Belonging: We are committed to building a diverse workforce reflecting and embracing diversity of all kinds - diversity of geography, cognitive diversity, race, ethnicity, age, gender identity, sexual orientation, political affiliation, socioeconomic backgrounds. We believe having teams that represent the broader communities where we live and work creates a culture that celebrates creativity, inclusiveness and teamwork and helps us offer our global clientele of mature and emerging businesses counsel that is dynamic, rich and nuanced. The anticipated salary range for this position is $150,000-175,000. An employee's salary is determined by a range of factors including but not limited to relevant experience, qualifications, skills, seniority, geographic location, performance, and business or organizational needs. The range listed is one component of Prosek's total compensation package for employees. Other rewards may include medical, dental and vision coverage, 401(k) matching, new business commission, paid time off, and other benefits. Prosek Partners provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Follow us: Website | Twitter | LinkedIn | Facebook | Instagram #LI-HYBRID", "summaryDescription" : "Vice President, Research and Insights at Prosek Partners. Skills: Research and analytics, AI analytics, Data insights. Lead integrated client teams. Ensure data-driven planning", "postedDate" : "2026-06-12T21:57:18.569", "createdAt" : "2026-06-12T21:57:18.569", "lastUpdated" : "2026-06-15T00:27:53.965", "ingestTimestamp" : "2026-06-12T21:57:18.569", "mongoId" : "6a2c5e4974d8ee00a08e2c07", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 175000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Quantitative research", "Statistical analysis", "Writing skills", "Presentation skills", "Leadership", "Mentoring", "Research and analytics", "AI analytics", "Data insights", "Data-driven planning", "Client counseling", "Research methodologies", "Predictive risk", "Crisis assessment", "Whitespace analyses", "Narrative intelligence", "Influencer identification", "Audience analysis", "New business proposals", "Data integration", "Data visualization", "RFP responses", "Proposal writing", "Communications channels", "Financial services", "Professional services", "B2B communications", "Talkwalker", "SignalAI", "StatSocial", "Microsoft Suite", "Looker", "Tableau", "PowerBI" ], "skillCount" : 34, "jobCategory" : "other", "jobSubcategory" : "dna", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Communications" }, { "id" : "6a2cf9a674d8ee00a0a9b501", "title" : "Senior Manager, Strategic Finance- Insights and Analytics", "company" : "Lightspeed", "industry" : "Operations", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Manager, Strategic Finance- Insights and Analytics in Calgary, Canada, adjusted for the SaaS industry and company size." }, "location" : "Calgary", "locations" : [ "Calgary" ], "certifications" : [ "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA" ], "timestamp" : "2026-06-16T06:17:14.426", "fingerprint" : "bf2eadd45eb20fec05667211e5a65d5f39f14156690c86b9ec9cc0d9c7d703dc", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lightspeedhq/6c5e7594-8c96-4f96-82d5-e9884d61f971/application", "externalId" : "6c5e7594-8c96-4f96-82d5-e9884d61f971", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Calgary", "state" : "Alberta", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "51.0456064,-114.0575410" } ], "locationText" : "Calgary, Alberta, Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "domainKnowledge" : "Financial instruments; Regulatory frameworks; Risk methodologies; Quantitative skills", "domainList" : [ "financial-instruments", "regulatory-frameworks", "risk-methodologies", "quantitative-skills" ], "domainSpecificKnowledge" : [ "Financial instruments", "Regulatory frameworks", "Risk methodologies", "Quantitative skills" ], "remoteFriendly" : false, "rawDescription" : "Hi there! Thanks for stopping by \uD83D\uDC4B Are you actively looking for a new opportunity? Or just checking the market? Well… you might just be in the right place! We’re looking for a Senior Manager, Strategic Finance- Insights and Analytics to join the Strategic Finance & Insights team working closely with the CFO and Executive Leadership Team on capital markets strategy, long-range planning, and multi-year business design. This role contributes directly to that work by leading the analytical layer that connects Lightspeed's revenue streams and by holding the FP&A relationship with data and analytics partners across the company. What you’ll be doing: You will lead the cross-functional analytical work that supports executive decision-making and serve as a partner to the Data Office and adjacent data and analytics teams. The team is anchored by senior individual contributors who own the forecasting and modeling for each of Lightspeed's revenue streams. This role works across them to produce analyses, methodology, and insights that no single revenue stream owner is positioned to deliver alone. You will report to the Director, Strategic Finance & Insights. Your responsibilities will include: - Insights and Analysis: Lead the structuring, execution, and delivery of cross-functional analyses spanning all revenue streams (Software, Payments, Capital, and Hardware). Translate variances, structural shifts, and emerging trends across the business into clear narratives for senior finance leadership. - Data Partnership and Stewardship: Serve as the senior FP&A point of contact for the Data Office, analytics teams, and platform owners across the company. Represent FP&A's position on the definition and integrity of finance-critical metrics, contribute to cross-functional alignment on master data management, standardized reporting dimensions, and data governance frameworks, and translate between technical data discussions and finance audiences. - Forecasting Methodology and Accuracy: Support the evolution of Lightspeed's forecasting methodology and the framework used to assess forecasting accuracy. Identify structural sources of variance and contribute to improvements in how the team forecasts the business. - AI and Innovation: Integrate AI tools, automation, and emerging analytical techniques into the team's analytical workflows where they meaningfully improve quality or efficiency. What you need to bring: - Experience & Education: - Bachelor's degree in Finance, Economics, Business, Engineering, or a related quantitative field. - 7+ years of progressive FP&A, strategic finance, or analytical experience, ideally in a multi-product SaaS or payments environment. - Experience with EPM platforms (Pigment, Adaptive, Anaplan, or similar). - Experience at a public company is preferred. - Track record of producing executive-facing analysis across multiple business lines or revenue streams. - Experience partnering with data, analytics, or BI teams as a primary stakeholder. - Experience with or exposure to master data management, data governance frameworks, or standardized reporting dimensions is a bonus. - CPA or CFA designation is a bonus. - Technical & Analytical Skills: - Deep fluency in SaaS metrics: NRR, ARPU, churn, LTV/CAC, Rule of 40, etc. - Strong financial modeling skills in Google Sheets/Excel. - Familiarity with SQL and modern data tooling sufficient to partner with data teams as a peer and understand what good looks like. Hands-on coding proficiency is not required. - Comfortable building structure across large, messy datasets where processes don't yet exist. - AI fluency. You use LLMs, copilots, and automation tools in your actual workflow, not just as a talking point. Excitement about what's next matters as much as what you already know. - Communication & Collaboration: - Ability to translate complex analysis into simple, actionable narratives for non-finance stakeholders. - Comfort operating with ambiguity and making methodology calls with incomplete information. - Cross-functional fluency. You've worked across Data, Accounting, and business teams, not just within Finance. - Experience presenting to and influencing senior leadership, not just producing deliverables for them. You’ll enjoy: - A flexible work environment that empowers you to do your best work - A culture that celebrates performance - The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard - Career-defining opportunities Plus benefits designed to keep you happy, healthy and fulfilled. - Flexible paid time off and remote work policies - Equity options, because this is your company too - Contributions to your pension plan. Your future matters - Training opportunities to grow your skills and career - Health and wellness credit so you feel your best - Time off to volunteer and give back to your community - Interest groups, employee led networks, social committees to sponsored sports teams - Computer purchase program to get your personal Macbook - Enhanced parental leave to support growing families #LI-SS3 To all recruitment agencies: Lightspeed does not accept unsolicited agency resumes. If we have not directly engaged your company in writing to supply candidates for a specific vacancy, Lightspeed will not be responsible for any fees related to unsolicited resumes. Lightspeed is a proud equal opportunity employer and we are committed to creating an inclusive and barrier-free workplace. Lightspeed welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. WHERE TO FROM HERE? Obviously, this has to be mutually beneficial: we want you to step into a role you love, and we want to offer you a place you’re proud to come to every day. For a glimpse into our world check out our career page here https://www.lightspeedhq.com/careers/. Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. We were founded in 2005, in Montreal’s gay village and our original members were all part of the LGBTQ+ community. The ethos of our business has been about inclusion from the very beginning, and we strive to provide a workplace where everyone belongs. WHO WE ARE: Powering the businesses that are the backbone of the global economy, Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks. Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries. Lightspeed handles your information in accordance with our Applicant Privacy Statement https://www.lightspeedhq.com/legal/applicant-privacy-statement/. ", "summaryDescription" : "Senior Manager, Strategic Finance- Insights and Analytics at Lightspeed", "createdAt" : "2026-06-14T18:35:59.408", "lastUpdated" : "2026-06-16T06:17:14.426", "ingestTimestamp" : "2026-06-14T18:35:59.408", "mongoId" : "6a2cf9a674d8ee00a0a9b501", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Financial instruments", "Regulatory frameworks", "Risk methodologies", "Quantitative skills", "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA" ], "skillCount" : 14, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "68c2e425f8b1b0376634c612", "title" : "Applied Scientist, Financial Insights and Actions", "company" : "Amazon Development Centre Canada ULC", "industry" : "Data Science, Applied Science, ecp", "salary" : { "min" : 149300.0, "max" : 249300.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, CAN", "locations" : [ "Vancouver, British Columbia, CAN" ], "timestamp" : "2026-06-15T05:30:38.045", "fingerprint" : "737d99f0ecbd367773e7e0b150c46aab09bd6cc0dcb47b3e5bcb9c4bc61ab181", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3073811/apply", "externalId" : "67fc366e-6490-4a9b-b3d7-01ae4a830300", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "GenAI, LLMs, Python", "professionalSkills" : [ "Financial analysis", "Accounting", "Business intelligence" ], "hardSkillsList" : [ "Machine learning", "Data mining", "Statistical algorithms", "Anomaly detection", "Model development", "Model validation", "Model fine-tuning", "Agentic solutions" ], "softSkillsList" : [ "Written communication", "Verbal communication" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Statistical algorithms", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "Model development", "level" : "intermediate" }, { "name" : "Model validation", "level" : "intermediate" }, { "name" : "Model fine-tuning", "level" : "intermediate" }, { "name" : "Agentic solutions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Written communication" }, { "name" : "Verbal communication" } ], "majorSkills" : "Machine learning, GenAI, LLMs, Financial insights", "majorSkillsList" : [ "Machine learning", "GenAI", "LLMs", "Financial insights" ], "coreResponsibilities" : "Leverage GenAI/LLMs build agentic solutions, Build AI trust and safety, Establish scalable, efficient, automated processes, Develop training/evaluation datasets, Collaborate with engineering productionalize research, Develop anomaly detection models, Build multi-agent systems, Fine-tune LLMs provide recommendations", "teamCollaboration" : "Domain experts; Engineers; Scientists; Product Managers; Accounting stakeholders", "domainKnowledge" : "Financial domain; Accounting processes", "domainList" : [ "financial-domain", "accounting-processes" ], "domainSpecificKnowledge" : [ "Financial domain", "Accounting processes" ], "communicationSkills" : "Written communication; Verbal communication", "innovationCreativity" : "Scientific research; Publishing papers", "problemSolvingSkills" : "Business problems", "qualificationsBasic" : "3+ years business problems ML, 3+ years programming Java, C++, Python, PhD or Master's degree, 4+ years CS, CE, ML experience, Experience algorithms and data structures, Experience parsing, Experience numerical optimization, Experience data mining, Experience parallel and distributed computing, Experience high-performance computing, Experience patents or publications", "qualificationsPreferred" : "PhD preferred, Experience applying theoretical models", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you interested in changing the way accounting and finance works at Amazon? We are a science and engineering team leveraging ML models and GenAI/LLMs to solve real-world problems faced by accountants and financial analysts. We are part of the Amazon Financials Foundation Services (AFFS) organization. AFFS is responsible for processing and managing billions of financially relevant transactions sent globally from across Amazon each day, including orders, shipments, payments, and inventory movements. AFFS is at the center of Amazon's key initiatives and fuels the growth of Amazon's businesses worldwide by ensuring that businesses can easily integrate with our services and that accountants and financial analysts have the right tools to use our data. As an Applied Scientist, you'll work alongside domain experts, engineers, and other scientists to understand business problems, propose scientific solutions, and deploy them to production. You'll work on scientific initiatives for accelerating reconciliation, standardization, and onboarding. This includes: - Leveraging GenAI/LLMs to build agentic solutions to accelerate accounting-related research/tasks and produce proactive insights. - Building AI trust and safety in the financial domain. - Establishing scalable, efficient, automated processes for large-scale data analysis, machine learning model development, model validation, and serving. - Developing training/evaluation datasets for model fine-tuning. - Collaborating with engineering to productionalize research. Specific examples of this work include developing anomaly detection models to identify deviations in payments, building multi-agent systems to perform financial research or onboard new businesses, and fine-tuning LLMs to provide recommendations on next steps. As an interdisciplinary team, we maintain a balance between scientific research and productionalization. This means, you'll get a unique opportunity to influence the global scientific community by publishing papers externally and internally while also seeing your work used across Amazon. You will need to have a start-up like mindset, as you will be working an in a highly iterative and collaborative environment with SDEs, Product Managers, and Accounting stakeholders to propose ideas, experiment, and scale rapidly. You should have a keen eye for what a good user experience should look like, possess excellent written and verbal communication, and have a keen interest in learning about accounting and financial processes. Basic Qualifications: - 3+ years of solving business problems through machine learning, data mining and statistical algorithms experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - 3+ years of programming in Java, C++, Python or related language experience - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience applying theoretical models in an applied environment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary for this position ranges from $149,300/year up to $249,300/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, Financial Insights and Actions at Amazon Development Centre Canada ULC. Skills: Machine learning, GenAI, LLMs, Financial insights. Leverage GenAI/LLMs build agentic solutions. Build AI trust and safety", "postedDate" : "2026-06-13T17:08:05.421", "createdAt" : "2026-06-13T17:08:05.421", "lastUpdated" : "2026-06-15T05:30:38.045", "ingestTimestamp" : "2026-06-13T17:08:05.421", "mongoId" : "68c2e425f8b1b0376634c612", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3073811/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Machine learning", "Data mining", "Statistical algorithms", "Anomaly detection", "Model development", "Model validation", "Model fine-tuning", "Agentic solutions", "Written communication", "Verbal communication", "GenAI", "LLMs", "Financial insights", "Financial analysis", "Accounting", "Business intelligence", "Financial domain", "Accounting processes" ], "skillCount" : 18, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2176ba74d8ee00a0c1ab40", "title" : "Sr. Data Engineer, Deal Tooling and Insights, Strategic Customer Engagements", "company" : "Amazon Web Services, Inc.", "industry" : "Data Science, Data Engineering, Cloud Computing", "salary" : { "min" : 154600.0, "max" : 209100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T02:43:46.876", "fingerprint" : "c76a879dbeb4f0eeb72cf66e4c547429421b00054afd935d73d1f1a16fec4b89", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10439451/apply", "externalId" : "fc4812aa-f855-45de-94e4-9841e411fe26", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, GenAI, LLM, Python, Java, Scala, NodeJS, Hadoop, Hive, Spark, EMR", "professionalSkills" : [ "Data modeling", "Data warehousing", "ETL pipeline development", "Data architecture", "Data transformation", "Data quality", "Data pipelines", "Feature stores", "Data products" ], "hardSkillsList" : [ "Data engineering", "Data modeling", "Data warehousing", "ETL pipelines", "SQL", "Scripting language", "Programming language", "Data infrastructure", "Data models", "Data quality monitoring", "Data validation", "Data auditing", "Data pipelines", "LLM data pipelines", "Data products", "Feature stores", "GenAI applications" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL pipelines", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" }, { "name" : "Scripting language", "level" : "intermediate" }, { "name" : "Programming language", "level" : "intermediate" }, { "name" : "Data infrastructure", "level" : "intermediate" }, { "name" : "Data models", "level" : "intermediate" }, { "name" : "Data quality monitoring", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data auditing", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "LLM data pipelines", "level" : "intermediate" }, { "name" : "Data products", "level" : "intermediate" }, { "name" : "Feature stores", "level" : "intermediate" }, { "name" : "GenAI applications", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Data platform development, GenAI data solutions", "majorSkillsList" : [ "Data engineering", "Data platform development", "GenAI data solutions" ], "coreResponsibilities" : "Build backend data infrastructure, Maintain backend data infrastructure, Ensure data is clean, Ensure data is fresh, Optimize data for consumption, Lead architectural improvements, Simplify complex data systems, Simplify data transformations, Address data infrastructure deficiencies, Translate business problems to requirements, Partner with BIEs and product management, Define data products, Ensure data quality, Monitor data pipelines, Validate data pipelines, Audit data pipelines, Document data pipelines, Document data sources, Leverage AWS services, Leverage GenAI, Build next-generation data solutions, Improve efficiency, Unlock analytical capabilities, Build LLM data pipelines, Create data products for GenAI, Create feature stores for GenAI, Serve GenAI applications, Lead design reviews, Participate in design reviews", "teamCollaboration" : "Collaboration with Product Managers; Collaboration with BIEs; Collaboration with business partners; Partnering with stakeholders", "domainKnowledge" : "AWS services; GenAI; LLM", "domainList" : [ "aws-services", "genai", "llm" ], "domainSpecificKnowledge" : [ "AWS services", "GenAI", "LLM" ], "toolProficiency" : [ "AWS services", "GenAI" ], "communicationSkills" : "Business communication skills", "documentationSkills" : "Documentation of pipelines; Documentation of data sources", "innovationCreativity" : "Build next-generation data solutions; Unlock new analytical capabilities", "problemSolvingSkills" : "Translate business problem statements; Address deficiencies", "qualificationsBasic" : "5+ years data engineering, Data modeling experience, Warehousing experience, Building ETL pipelines, SQL experience, Python, Java, Scala, or NodeJS experience, Mentoring team members", "qualificationsPreferred" : "Big data technologies experience, Hadoop experience, Hive experience, Spark experience, EMR experience, Large data warehouses experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about leveraging data to deliver actionable insights that impact the daily business decisions of AWS? Do you want to have an impact on making strategic deals come to life? If so, we are looking for a Sr. Data Engineer to join the Strategic Customer Engagements team to develop a scalable data analytics platform. The Strategic Customer Engagements Deal Team works with our customers on commercial private pricing opportunities to meet their desired business outcomes while ensuring alignment with AWS business objectives. In this role, you will be responsible for end-to-end development of data engineering solutions from the ground up. You should have expertise in the creation and management of datasets and the proven ability to translate data into meaningful insights through collaboration with Product Managers, Business Intelligence Engineers (BIEs), and business partners. You should be passionate about designing scalable analytics solutions for a fast-growing business. This is a high-visibility role. The right candidate will possess excellent business and communication skills, be able to work with business owners to translate business problem statements into technical requirements. You should have a solid understanding of how to build efficient and scalable data infrastructure and data models. The role will leverage generative AI and AWS services to raise the bar on how the team consumes and acts on data and build the next generation of AI-enabled data platform. Key job responsibilities - Build and maintain backend data infrastructure for analytical platforms and applications, ensuring data is clean, fresh, and optimized for downstream consumption - Lead architectural improvements that simplify complex data systems and transformations and proactively address deficiencies that create bottlenecks in the data infrastructure - Translate business problem statements into technical data requirements, partnering with BIEs and product management and stakeholders to define what data products to build - Ensure data quality through monitoring, validation, auditing, and documentation of pipelines and data sources - Leverage AWS services and GenAI to build next-generation data solutions that improve efficiency and unlock new analytical capabilities - Build data pipelines purpose-built for LLM consumption and create data products and feature stores that serve GenAI applications in near real-time - Lead design reviews for your team's data architecture and actively participate in design reviews of related software and data systems Basic Qualifications: - 5+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience mentoring team members on best practices Preferred Qualifications: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience operating large data warehouses Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 170,000.00 - 230,000.00 USD annually USA, VA, Arlington - 154,600.00 - 209,100.00 USD annually USA, WA, Seattle - 154,600.00 - 209,100.00 USD annually", "summaryDescription" : "Sr. Data Engineer, Deal Tooling and Insights, Strategic Customer Engagements at Amazon Web Services, Inc.. Skills: Data engineering, Data platform development, GenAI data solutions. Build backend data infrastructure. Maintain backend data infrastructure", "postedDate" : "2026-06-13T05:06:17.324", "createdAt" : "2026-06-13T05:06:17.324", "lastUpdated" : "2026-06-15T02:43:46.876", "ingestTimestamp" : "2026-06-13T05:06:17.324", "mongoId" : "6a2176ba74d8ee00a0c1ab40", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10439451/apply", "salaryAnnualMin" : 154600, "salaryAnnualMax" : 209100, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data engineering", "Data modeling", "Data warehousing", "ETL pipelines", "SQL", "Scripting language", "Programming language", "Data infrastructure", "Data models", "Data quality monitoring", "Data validation", "Data auditing", "Data pipelines", "LLM data pipelines", "Data products", "Feature stores", "GenAI applications", "Data platform development", "GenAI data solutions", "ETL pipeline development", "Data architecture", "Data transformation", "Data quality", "AWS services", "GenAI", "LLM" ], "skillCount" : 26, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a308724f292fd229c0863dc", "title" : "Client Insights Analyst", "company" : "iSeatz", "industry" : "Hospitality", "salary" : { "min" : 77000.0, "max" : 90000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Full-Time Remote (USA)", "locations" : [ "Full-Time Remote (USA)" ], "timestamp" : "2026-06-16T08:42:22.280", "fingerprint" : "f317d1e65bb832dae5c06cb159309f39a2a004a649b31eccca994e5c649fe038", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/iseatz/jobs/5255722008", "externalId" : "5255722008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL", "professionalSkills" : [ "Client-facing analytics", "Client-facing reporting", "Product analytics", "Conversion analysis", "Digital web analytics" ], "hardSkillsList" : [ "Data validation", "Trend identification", "Result interpretation" ], "hardSkills" : [ { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Trend identification", "level" : "intermediate" }, { "name" : "Result interpretation", "level" : "intermediate" } ], "majorSkills" : "Client Insights, Data Analysis", "majorSkillsList" : [ "Client Insights", "Data Analysis" ], "coreResponsibilities" : "Identify trends, Interpret results, Troubleshoot inconsistencies, Communicate findings", "teamCollaboration" : "Collaboration; Customer focus", "domainKnowledge" : "Travel bookings; Lifestyle bookings; Digital commerce; Travel technology; Loyalty tech", "domainList" : [ "travel-bookings", "lifestyle-bookings", "digital-commerce", "travel-technology", "loyalty-tech" ], "domainSpecificKnowledge" : [ "Travel bookings", "Lifestyle bookings", "Digital commerce", "Travel technology", "Loyalty tech" ], "toolProficiency" : [ "Tableau" ], "communicationSkills" : "Written communication; Verbal communication", "continuousLearning" : "Professional development allowance", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "5+ years experience, SQL proficiency, Analytical skills, Problem-solving skills, Data validation skills", "qualificationsPreferred" : "Experience with Snowflake or similar cloud data platforms, Experience in travel, eCommerce, marketplaces, loyalty, or digital consumer products, Experience supporting client-facing analytics, reporting, or product teams, Exposure to product analytics, conversion analysis, or digital web analytics, Familiarity with data governance concepts, Familiarity with data privacy and security best practices, Tableau experience preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Our Mission iSeatz drives enduring brand loyalty through exceptional, connected experiences. Our digital commerce and technology solutions enable travel and lifestyle bookings for the world’s leading brands in financial services, travel, and hospitality, including American Express, IHG Hotels Tableau experience preferred Strong analytical, problem-solving, and data validation skills, with the ability to identify trends, interpret results, troubleshoot inconsistencies, and communicate findings Strong organizational, written, and verbal communication skills Awareness of responsible data handling practices Alignment with iSeatz core values, including collaboration, accountability, curiosity, and customer focus Bonus Points Experience working with Snowflake or similar cloud data platforms Experience in travel, eCommerce, marketplaces, loyalty, or digital consumer products Experience supporting client-facing analytics, reporting, or product teams Exposure to product analytics, conversion analysis, or digital web analytics Familiarity with data governance concepts and data privacy and security best practices Pay Range for this Position: $77,000—$90,000 USD Location This role is remote and can be located anywhere inside the continental United States. iSeatz is a New Orleans-based company with Central Time Zone business hours, but feel free to work from your home office, from the beach, or from the cottage you rented for the summer! What We Bring To The Table iSeatz has been honored as an Inc. Magazine Best Workplace for the past two years — recognition based on our commitment to transparency, trust, and open communication, as well as our efforts to foster growth for our team members beyond their current roles and responsibilities. We trust our team members to use their expertise and creativity to deliver high-quality results — without micromanagement — and support them in building careers that are as dynamic and multifaceted as the work we do. We believe there's no one-size-fits-all approach to engagement or collaboration. That’s why we strive to provide the tools, autonomy, and support employees need to succeed — while delivering exceptional products and services to our customers. We recognize that great work deserves meaningful support. At iSeatz, we provide competitive compensation and a comprehensive suite of benefits to match. Our team members enjoy robust health insurance, a 401(k) plan with company matching, generous paid time off, and up to eight weeks of paid parental leave for eligible caregivers. We’re a remote-first company that values flexibility and autonomy, and we invest in continuous learning with an annual professional development allowance. Whether you're growing your skills, your family, or your impact — we’re here to support what’s next. We Value A Diverse Workplace We are committed to building and maintaining a culture of support, awareness, and sensitivity about the importance and impact of our differences and leverage these differences to build a stronger iSeatz. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact the People Operations Team at humanresources@iseatz.com. A Note About Joining Our Workforce At iSeatz, we're building a team of bold thinkers, innovative builders, and thoughtful collaborators — people who are excited to make an impact, grow their careers, and help shape the future of travel and loyalty tech. If you're energized by meaningful work, passionate about creating exceptional experiences, and ready to bring your unique perspective to a team that values trust, growth, and transparency — we can't wait to meet you.", "summaryDescription" : "Client Insights Analyst at iSeatz. Skills: Client Insights, Data Analysis. Identify trends. 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Thanks for stopping by \uD83D\uDC4B Are you actively looking for a new opportunity? Or just checking the market? Well… you might just be in the right place! We’re looking for a Senior Manager, Strategic Finance- Insights and Analytics to join the Strategic Finance & Insights team working closely with the CFO and Executive Leadership Team on capital markets strategy, long-range planning, and multi-year business design. This role contributes directly to that work by leading the analytical layer that connects Lightspeed's revenue streams and by holding the FP&A relationship with data and analytics partners across the company. What you’ll be doing: You will lead the cross-functional analytical work that supports executive decision-making and serve as a partner to the Data Office and adjacent data and analytics teams. The team is anchored by senior individual contributors who own the forecasting and modeling for each of Lightspeed's revenue streams. This role works across them to produce analyses, methodology, and insights that no single revenue stream owner is positioned to deliver alone. You will report to the Director, Strategic Finance & Insights. Your responsibilities will include: - Insights and Analysis: Lead the structuring, execution, and delivery of cross-functional analyses spanning all revenue streams (Software, Payments, Capital, and Hardware). Translate variances, structural shifts, and emerging trends across the business into clear narratives for senior finance leadership. - Data Partnership and Stewardship: Serve as the senior FP&A point of contact for the Data Office, analytics teams, and platform owners across the company. Represent FP&A's position on the definition and integrity of finance-critical metrics, contribute to cross-functional alignment on master data management, standardized reporting dimensions, and data governance frameworks, and translate between technical data discussions and finance audiences. - Forecasting Methodology and Accuracy: Support the evolution of Lightspeed's forecasting methodology and the framework used to assess forecasting accuracy. Identify structural sources of variance and contribute to improvements in how the team forecasts the business. - AI and Innovation: Integrate AI tools, automation, and emerging analytical techniques into the team's analytical workflows where they meaningfully improve quality or efficiency. What you need to bring: - Experience & Education: - Bachelor's degree in Finance, Economics, Business, Engineering, or a related quantitative field. - 7+ years of progressive FP&A, strategic finance, or analytical experience, ideally in a multi-product SaaS or payments environment. - Experience with EPM platforms (Pigment, Adaptive, Anaplan, or similar). - Experience at a public company is preferred. - Track record of producing executive-facing analysis across multiple business lines or revenue streams. - Experience partnering with data, analytics, or BI teams as a primary stakeholder. - Experience with or exposure to master data management, data governance frameworks, or standardized reporting dimensions is a bonus. - CPA or CFA designation is a bonus. - Technical & Analytical Skills: - Deep fluency in SaaS metrics: NRR, ARPU, churn, LTV/CAC, Rule of 40, etc. - Strong financial modeling skills in Google Sheets/Excel. - Familiarity with SQL and modern data tooling sufficient to partner with data teams as a peer and understand what good looks like. Hands-on coding proficiency is not required. - Comfortable building structure across large, messy datasets where processes don't yet exist. - AI fluency. You use LLMs, copilots, and automation tools in your actual workflow, not just as a talking point. Excitement about what's next matters as much as what you already know. - Communication & Collaboration: - Ability to translate complex analysis into simple, actionable narratives for non-finance stakeholders. - Comfort operating with ambiguity and making methodology calls with incomplete information. - Cross-functional fluency. You've worked across Data, Accounting, and business teams, not just within Finance. - Experience presenting to and influencing senior leadership, not just producing deliverables for them. You’ll enjoy: - A flexible work environment that empowers you to do your best work - A culture that celebrates performance - The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard - Career-defining opportunities Plus benefits designed to keep you happy, healthy and fulfilled. - Flexible paid time off and remote work policies - Equity options, because this is your company too - Contributions to your pension plan. Your future matters - Training opportunities to grow your skills and career - Health and wellness credit so you feel your best - Time off to volunteer and give back to your community - Interest groups, employee led networks, social committees to sponsored sports teams - Computer purchase program to get your personal Macbook - Enhanced parental leave to support growing families - We got you covered! A variety of snacks, coffee, and teas are always accessible and available in the office kitchen .Tuesday's- Thursday's: Lunch is served, and Thursday’s is Happy hours with a variety of drinks and snacks #LI-SS3 To all recruitment agencies: Lightspeed does not accept unsolicited agency resumes. If we have not directly engaged your company in writing to supply candidates for a specific vacancy, Lightspeed will not be responsible for any fees related to unsolicited resumes. Lightspeed is a proud equal opportunity employer and we are committed to creating an inclusive and barrier-free workplace. Lightspeed welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. WHERE TO FROM HERE? Obviously, this has to be mutually beneficial: we want you to step into a role you love, and we want to offer you a place you’re proud to come to every day. For a glimpse into our world check out our career page here https://www.lightspeedhq.com/careers/. Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. We were founded in 2005, in Montreal’s gay village and our original members were all part of the LGBTQ+ community. The ethos of our business has been about inclusion from the very beginning, and we strive to provide a workplace where everyone belongs. WHO WE ARE: Powering the businesses that are the backbone of the global economy, Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks. Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries. Lightspeed handles your information in accordance with our Applicant Privacy Statement https://www.lightspeedhq.com/legal/applicant-privacy-statement/. 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