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research, Lead trade studies, Account for environmental effects, Account for manufacturing variability, Account for joint behavior, Lead structural test campaigns, Define test plans, Define instrumentation, Define pass/fail criteria, Close the loop on failures, Lead root-cause investigations, Drive corrective actions, Communicate effectively across domains, Serve as structural SME, Present margins, Present risks, Present recommendations, Translate complex analysis", "teamCollaboration" : "Design engineers; Manufacturing engineers; Systems engineers; Cross-functional teams; Leadership; Broader team", "projectManagementSkills" : [ "Technical lead", "Responsible engineer" ], "domainKnowledge" : "Battery packs; Energy storage; EV structures; Spacecraft; Aircraft; Motorsport; Multi-physics environment; Mechanical loads; Thermal requirements; Electrical requirements; Safety requirements; Structural integrity; Mechanics of materials; Fatigue; Fracture; Non-linear material behavior; 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modules, or enclosures, Multi-physics fluency, Working knowledge of how electrical, thermal, and safety requirements constrain structural design, DFM awareness across casting, stamping, extrusion, machining, additive, and composite layup, Experience taking hardware from prototype to rate production, Experience building analysis tools or methods adopted team or company-wide", "workSiteFlexibility" : "Flexible", "rawDescription" : "ABOUT BRELLE “Energy for what moves us” defines our mission at Brelle. Based in California, Brelle engineers next-generation platforms for supercars and superbikes, working alongside high-performance brands in the US and Europe. Our innovations are built on a novel battery pack architecture, a full-stack software platform, and automated manufacturing. Joining the team means working on making electric vehicles—on the road and on the racetrack—lighter, more engaging, safer, and capable of charging in minutes. Our engineering teams are structured like small Skunkworks teams – nimble, cross-functional, and technical. Engineers are encouraged to explore new concepts and materials and expected to rapidly go from idea to prototype. We move fast, obsess over the details, and believe the hardest problems are the ones worth solving. Nothing is impossible. If it sounds impossible, it's probably worth working on. ABOUT THE ROLE As a Lead Structures & Analysis Engineer, you will own the structural integrity of our products — from material selection and first-order sizing through detailed FEA, physical test, and correlation back to the model. You’ll work at the intersection of structures, materials, and the wider system. Our hardware lives in a demanding multi-physics environment (i.e. mechanical loads interacting with thermal, electrical, and safety requirements), so we’re especially interested in engineers who have worked on battery packs, energy storage, EV structures, spacecraft, aircraft, or motorsport, and who understand how structural decisions ripple through the rest of the system. You’ll have direct influence over architecture and a mandate to build the analysis capability you think the team needs. WHAT YOU'LL DO - Guide design from day one: Embed with design, manufacturing, and systems engineers to influence architecture early — load paths, joints, materials, and mass. Support mass-optimization, manufacturing and cost/weight/performance trades. - Build and develop the team: Set the technical standard, grow engineers at all levels, and create an environment where the team does rigorous, independent work. - Own structural analysis end-to-end: Define load cases and environments, develop load paths, and perform sizing of primary and secondary structures using both classical hand calculations and finite element methods (linear and non-linear static, buckling, modal, random vibration, shock, fatigue, and fracture/damage tolerance). - Drive material selection: Lead research, trade studies across metallics, composites, polymers, and adhesives; account for environmental effects, manufacturing variability, and joint behavior. - Lead structural test campaigns: Define test plans, instrumentation (strain gauges, accelerometers, thermocouples, DIC), and pass/fail criteria for coupon, component, and assembly-level tests — static, dynamic, drop, crush, and abuse. - Close the loop on failures: Lead root-cause investigations of structural failures in test, production, or the field, and drive corrective actions back into design rules. - Communicate effectively across domains: Serve as the structural SME for your domain — present margins, risks, and recommendations clearly at design reviews and to leadership, and translate complex analysis into language the broader team can act on. QUALIFICATIONS - B.S. in Mechanical, Aerospace, Materials, or related engineering field (M.S. preferred). - 8+ years of structural analysis experience on safety- or performance-critical hardware (automotive/EV, aerospace, launch, defense, motorsport, or similar), including time as a technical lead or responsible engineer. - Deep grounding in statics, dynamics, mechanics of materials, fatigue, and fracture. - Expert proficiency with at least one commercial FEA suite (Ansys, Abaqus, Nastran, etc.) including pre/post tools (HyperMesh, Femap, etc.) — and a track record of validating models against physical test. - Strong materials background: selection, properties, allowables development, and testing of metallic and/or composite structures; familiarity with non-linear material behavior (plasticity, elastomers, adhesives). - Scripting ability in Python or MATLAB for analysis automation, data processing, and tool development; comfort leveraging AI tools to accelerate and enhance engineering workflows. - Clear, concise technical communication — written reports and live design-review defense of your margins. PREFERRED QUALIFICATIONS - Experience with battery packs, modules, or enclosures — structural integration of cells, crush/intrusion protection, drop and abuse testing, sealing, thermal-structural interaction, or vibration durability of energy storage systems. - Multi-physics fluency: coupled thermal-structural analysis, or working knowledge of how electrical, thermal, and safety requirements constrain structural design. - DFM awareness across casting, stamping, extrusion, machining, additive, and composite layup — and experience taking hardware from prototype to rate production. - Experience building analysis tools or methods adopted team or company-wide. YOU ARE... - Fundamentally Curious – You break complex problems down to first principles and are energized by hard problems worth solving at scale. - Obsessed with Excellence – You constantly push yourself and your team to raise the bar, always looking for ways to improve the work, the process, and the outcome. You challenge the status quo, never settle for good enough, and aren't satisfied until the answer is the best it can be. - Autonomous and Decisive – You make informed calls, drive execution with conviction, and don't wait to be told what to do. You empower your team to do the same, creating a culture of accountability and bias for action. - Resilient Under Pressure – You stay sharp and decisive when timelines compress and stakes are high. Ambiguity and fast-moving environments energize rather than paralyze you. - Humble and Honest – You communicate honestly and give candid feedback — and receive it the same way. You know what you don't know, hold yourself accountable, and are constantly seeking ways to improve yourself, your team, and the product. COMPENSATION & BENEFITS COMPENSATION - Base Salary: $125,000 – $160,000. 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We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's go-to-market organization is scaling fast, and the quality of our decisions increasingly depends on the quality of our reporting. We're looking for a Field Reporting and Insights Manager to build and own the reporting foundation that every GTM leader — from individual contributors to the CCO — relies on to run their business. This is not a dashboard maintenance role. It's a role for someone who understands that a single, well-designed view of pipeline health can change how a sales leader runs their Monday morning, and who can build that view because they understand how that leader actually thinks. You'll own the design and delivery of certified, centralized reporting across pipeline, forecast, hiring, customer health, and rep productivity — and you'll do it for a business whose model doesn't map cleanly onto the traditional SaaS playbook. Key responsibilities Build the reporting foundation Design, build, and certify the core reporting suite that serves as the single source of truth for GTM performance — spanning pipeline, forecast, bookings, capacity, customer health, and rep productivity Architect reporting with a clear audience hierarchy, so the same underlying data powers the CCO's board prep, the RVP's weekly operating review, and each rep's self-service view of their own book Partner with Analytics Engineering and Data Infrastructure to ensure data lineage is clean, metric definitions are governed, and calculations reconcile cleanly across Salesforce, Looker, and BigQuery Establish and own the standard for \"certified\" reporting, so that when a number appears in an operating review, no one has to ask where it came from Translate leadership needs into durable reporting Serve as a trusted analytical partner to GTM leadership; invest time understanding how leaders run their businesses, what decisions they make each week, and what they wish they could see but can't Convert loosely scoped asks into tightly scoped deliverables — and know when the right answer is a one-time analysis, a new dashboard panel, or a change to the weekly metrics pack Anticipate second-order usage: design reporting that holds up when it gets forwarded, screenshotted into a deck, or pulled into a conversation you weren't part of Drive adoption through enablement; a report no one uses is a failed report, regardless of how well it was built Drive analytical innovation Design the visual language for new concepts — whether that's consumption ramp across a cohort or the shape of a PLG-to-enterprise conversion curve — and find the one view that makes it click for the audience Leverage Claude to surface signal from unstructured data (call transcripts, deal notes, customer feedback) and turn it into structured reporting inputs Develop original scoring and prioritization methodologies — account propensity, deal health, whitespace, risk — suited to a business where the standard MEDDIC-plus-firmographics playbook only gets you partway there Serve as the team's internal R&D function for analytical methods: run experiments, share what works, and raise the bar for what GTM reporting can do Scale the function Build reporting infrastructure that scales ahead of the organization — what works for 30 sellers should still work for 300 Manage competing stakeholder requests with sound judgment: know when to say yes, when to consolidate three asks into one better solution, and when to push back Document standards, build templates, and create the playbook so that reporting quality doesn't depend on any one person being in the loop Minimum qualifications Advanced SQL and hands-on experience building in Looker and LookML (not just consuming dashboards) Fluency with Salesforce data models and comfort working in BigQuery or a comparable data warehouse Demonstrated ability to translate ambiguous executive asks into well-scoped, structured deliverables Strong data visualization sensibility, with an understanding that the best report is often the one with fewer things on it Experience building GTM or revenue reporting from the ground up in a high-growth environment Preferred qualifications 8+ years in revenue operations, sales strategy, GTM analytics, or a similar function, with a track record of building reporting that leaders actually use to run their business Genuine fluency in how GTM organizations operate: the rhythm of a sales org, what a forecast call sounds like, and how an account executive decides what to prioritize each week Experience with consumption-based, usage-based, or PLG revenue models where the standard pipeline-to-bookings-to-revenue funnel needs to be rethought Background in management consulting, sales strategy, or FP&A with subsequent operating experience Experience standing up data governance or metric certification programs A track record of using AI tools to accelerate analytical workflows, and a perspective on where that's headed The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000—$270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.", "summaryDescription" : "Field Reporting Insights Manager at Anthropic. Skills: Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering. Build reporting foundation. Design core reporting suite", "postedDate" : "2026-06-13T20:38:18.946", "createdAt" : "2026-06-13T20:38:18.946", "lastUpdated" : "2026-06-15T09:36:52.057", "ingestTimestamp" : "2026-06-13T20:38:18.946", "mongoId" : "6a2c91a974d8ee00a0983aba", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data visualization", "Statistical analysis", "Quantitative analysis", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Reporting foundation", "Pipeline health", "Forecast reporting", "Customer health", "Rep productivity", "Data lineage", "Metric definitions", "Analytical partner", "Scoping deliverables", "Analytical innovation", "Scoring methodologies", "Prioritization methodologies", "Reporting standards", "Reporting playbook", "GTM performance", "Pipeline reporting", "Bookings reporting", "Capacity reporting", "Customer health reporting", "Rep productivity reporting", "SaaS playbook", "Revenue operations", "Sales strategy", "GTM analytics", "Sales org rhythm", "Account executive decisions", "Traditional SaaS playbook", "Looker", "LookML", "Salesforce", "BigQuery" ], "skillCount" : 43, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "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" : "6a2cc34474d8ee00a0a08df6", "title" : "Founding PM - Reporting & Agentic Insights", "company" : "Owner", "industry" : "Engineering, Product, and Design", "salary" : { "min" : 190000.0, "max" : 230000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote - United States", "locations" : [ "Remote - United States", "Remote - Canada" ], "timestamp" : "2026-06-15T09:34:44.341", "fingerprint" : "693bc2e1026c65c3da6d8ec15611337f86c4a8618c1b260236cd10ffffee854b", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/owner/f8401e33-2c9f-449e-bd7b-6a44d4c2e6a3/application", "externalId" : "f8401e33-2c9f-449e-bd7b-6a44d4c2e6a3", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "AI", "professionalSkills" : [ "Product strategy", "Roadmap development", "User story creation", "Cross-functional collaboration" ], "hardSkillsList" : [ "Data modeling" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" } ], "majorSkills" : "Reporting, Agentic insights, Product management", "majorSkillsList" : [ "Reporting", "Agentic insights", "Product management" ], "coreResponsibilities" : "Own understand half reporting, Own data models, Own builder experience, Own curated reports, Own drill-down behavior, Own mobile experience, Own migration path, Own anticipate half, Surface what's coming, Define data foundation, Scale reporting across business, Make reporting a reason, Be loudest voice, Pull signal from tickets, Turn signal into priorities", "teamCollaboration" : "Partner with GM; Partner with EM; Partner with AI team; Build analytical foundation; Work cross-functionally", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Restaurant operations; SMB software", "domainList" : [ "restaurant-operations", "smb-software" ], "domainSpecificKnowledge" : [ "Restaurant operations", "SMB software" ], "communicationSkills" : "Written communication; Verbal communication", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Make reporting best-in-class; Make reporting a stated reason", "qualificationsBasic" : "5+ years product management experience, Track record shipping software, Excellent product sense, Deep customer empathy, Data fluency, Proficiency handling ambiguity, Clear written communication, Clear verbal communication, Competence with technical complexity", "qualificationsPreferred" : "Preference for Eastern time zones, Preference for Central time zones", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Owner Owner is the AI-native system local business owners use to succeed, starting with restaurants. We’re building the system that replaces the many tools owners use to run their business. It powers everything from the restaurant’s website, online ordering, CRM, POS, and more. Product philosophy Most small business software makes owners do the work to get what they want: sales growth and profit growth. Owner does the work for them agentically. Our system drives demand, converts it, and helps operators run their business day to day. As it improves, the business improves with it. Using Owner should feel like having a team of great operators, engineers, and marketers working for you. Our vision We’re starting by helping independent restaurants succeed online. But it’s not just restaurants that need our help. Most local businesses are struggling with these same problems. Huge technology corporations are taking their customers, bleeding their profits, and making it hard for them to survive. Once we nail the solution for restaurants – we’ll scale it into every other local business type. In the future we envision, tens of millions of local business owners will use our technology to succeed in the digital age. Read our Series C memo here → https://www.owner.com/c Our traction Since 2020, we've generated tens of millions in revenue and processed over a billion dollars of online orders. 1 in 5 Americans have used an Owner.com http://Owner.com website. More importantly, we’ve helped over 20,000 restaurant owners, and saved them nearly $200 million in fees. Our team Our team is now in the low hundreds. We’ve got top talent from the most successful companies in SMB software, including: Shopify, HubSpot, DoorDash, ServiceTitan, Rappi, Faire and Stripe. We’ll be scaling even faster in 2026 to keep pace with our customer growth. Where we work Owner is a remote-first, global company headquartered in San Francisco, with a sales hub in Toronto. For a few of our roles we prioritize in-person collaboration at one of our office locations. Most of our teammates are distributed throughout the globe. Please review the role description and discuss with your recruiter for more details on location! Why we're looking for you Owner is the all-in-one platform for independent restaurants — online ordering, POS, kitchen tools, marketing, and the financial backbone that ties it all together. Reporting and analytics is one of our biggest product investments this year, and we're hiring a founding Product Manager to lead it. We think great reporting for a restaurant has two halves. The first is understand: historical performance the operator can pull up instantly, customize for the way they actually run their business, and trust enough to close the day on. The second is anticipate: what's coming based on what we know about their business and history, and the suggestions that help them hit their goals. We want Owner's reporting to be best-in-class on both halves — deep operator empathy, AI native, and built around how restaurants actually work. You'll own the product end-to-end, partnering closely with the GM of Payments, the Money & Risk EM, and a small senior engineering team, with deep collaboration with our AI team on the anticipation side. This role is fully remote and open to candidates anywhere in the US or Canada. Slight preference for Eastern or Central time zones. The impact you will have - Own the understand half of reporting end-to-end — data models, the builder experience, curated reports operators reach for daily, drill-down behavior, the mobile experience, and the migration path from where we are today. - Own the anticipate half in partnership with our AI team — surface what's coming for an operator based on their business and history, and the suggestions that help them hit their goals. - Define the data foundation that scales reporting across the full restaurant business (sales, menu, guests, payouts, labor, loyalty) so both halves of the product compound over time. - Make reporting a stated reason restaurants choose Owner — showing up in customer feedback, sales conversations, and renewals as a reason they stay. - Be the loudest voice for our customers on this product. Pull signal from support tickets, ride-alongs, churn conversations, and the active backlog — and turn it into the next set of priorities. Who you'll work with - Report directly to the GM of Payments. - Partner daily with the EM and engineering team on Money & Risk. - Work in deep partnership with our AI team on the anticipation side of reporting. - Build the analytical foundation alongside our incoming BI Analyst and Data Scientist. - Work cross-functionally with POS, Online Ordering, Loyalty, Labor, Finance, Support, Customer Success, and Sales as the product extends across the platform. What we’re looking for - 5+ years of product management experience - Ability to get things done: you have a track record of shipping software that made a difference for your customers - Excellent product sense: you have a good understanding of what makes for a high-quality product and are opinionated about what solutions will be successful - Deep customer empathy: you care about helping your customers and are skilled at performing research to uncover their true needs - Strong data fluency: you effectively gather and integrate quantitative and qualitative data to inform your decision-making and update your intuition - Proficiency handling ambiguity: you make sure your goals are clearly defined and display significant independence in achieving them - Clear written and verbal communication: you’re a force for clarity and alignment, ensuring everyone’s on the same page - Competence with technical complexity: you can understand the high-level architecture of a product and its implications for the customer experience, and you’re comfortable talking with engineers about project scope and tradeoffs Pay and benefits - The estimated starting base salary range for this role is $190-230K, plus a generous pre-IPO equity package - Other benefits include comprehensive health coverage, remote-first workplace, unlimited PTO - plus extra fun perks! Notice - Employment Scams Communication from our team regarding job opportunities will only be made by an Owner team member with an @owner.com email address. We do not conduct interviews over email or chat platforms, and we will never ask you to provide personal or financial information such as your mailing address, social security number, credit card numbers or banking information. If you believe you are being contacted by a scammer, please mark the communication as \"phishing\" or “spam” and do not respond.", "summaryDescription" : "Founding PM - Reporting & Agentic Insights at Owner. Skills: Reporting, Agentic insights, Product management. Own understand half reporting. Own data models", "createdAt" : "2026-06-14T09:19:59.167", "lastUpdated" : "2026-06-15T09:34:44.341", "ingestTimestamp" : "2026-06-14T09:19:59.167", "mongoId" : "6a2cc34474d8ee00a0a08df6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 190000, "salaryAnnualMax" : 230000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Reporting", "Agentic insights", "Product management", "Product strategy", "Roadmap development", "User story creation", "Cross-functional collaboration", "Roadmap planning", "Restaurant operations", "SMB software" ], "skillCount" : 11, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "69ce5e3b9bc74574cb677aa8", "title" : "Sales Data Analysis", "company" : "Beijing Mercedes-Benz Sales Service Co.", "industry" : "Retail", "salary" : { "min" : 150000.0, "max" : 250000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a junior sales data analyst in Beijing, China, with adjustments for the automotive industry and company size." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "Daimler Tower, 8 Wangjing Street, , Beijing" ], "timestamp" : "2026-06-15T13:43:47.516", "fingerprint" : "6cb0dd412af2e7f9ea9660c00f521a0f4655e5f18db98b0278517305d4f706d0", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=883272", "externalId" : "883272", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SQL, Python, R, Excel Power Query, Tableau Prep, Alteryx, Tableau, Power BI", "professionalSkills" : [ "Market trend analysis", "Sales performance analysis", "Data visualization" ], "hardSkillsList" : [ "Data extraction", "Data processing", "Data validation", "Sales reporting", "Dashboard creation" ], "hardSkills" : [ { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Sales reporting", "level" : "intermediate" }, { "name" : "Dashboard creation", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Sales reporting, Data visualization", "majorSkillsList" : [ "Data analysis", "Sales reporting", "Data visualization" ], "coreResponsibilities" : "Extract, process, and validate sales data, Support sales reporting and performance, Prepare accurate and timely sales reports, Assist in market trend analysis, Assist in ad-hoc topics analysis, Prepare presentation for sales related, Collaborate with IT and data teams, Ensure data integrity and accessibility, Cleanse and validate data, Maintain data extraction processes and scripts, Report on sales KPIs, Deliver month-end/year-end retail landing results, Create dashboards, analysis, reports, and visualizations, Provide business insight, Analyze market trends and sales performance, Support tactical teams with data, Help prepare presentation materials, Document data extraction and reporting processes, Improve data structures and reporting efficiency, Ensure compliance with data security and governance policies", "teamCollaboration" : "Collaborate with IT; Collaborate with data teams", "domainKnowledge" : "Sales reporting; Automotive industry; Sales industry", "domainList" : [ "sales-reporting", "automotive-industry", "sales-industry" ], "domainSpecificKnowledge" : [ "Sales reporting", "Automotive industry", "Sales industry" ], "toolProficiency" : [ "SQL", "Python", "R", "Excel Power Query", "Tableau Prep", "Alteryx", "Tableau", "Power BI" ], "communicationSkills" : "Presentation preparation", "documentationSkills" : "Document data extraction; Document reporting processes", "problemSolvingSkills" : "Data analysis; Ad-hoc analysis", "outcomesObjectives" : "Support sales reporting and performance; Prepare accurate and timely sales reports; Deliver month-end/year-end retail landing results", "qualificationsBasic" : "Bachelor degree or above, Data analysis tools or scripting, SQL, Python, R, Excel Power Query, Tableau Prep, Alteryx, English level CET 6", "qualificationsPreferred" : "Data Science, Business, Information Systems, or related fields, Familiarity with data visualization tools, 2 years' experience in data extraction, reporting, or automotive or sales industry background, High attention to detail, Commitment to data accuracy", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Objective of job: 1. Extract, process, and validate sales data from data lakes and databases using data analysis tools or scripting methods (SQL, database, & etc.) to support sales reporting and performance tracking; 2. Prepare accurate and timely sales reports to support sales steering; 3. Assist in market trend analysis and ad-hoc topics analysis ; 4. Presentation preparation for sales related topics; 5. Collaborate with IT and data teams to ensure data integrity and accessibility for sales reporting. Task description: 1. Data Extraction & Processing - Extract sales data from data sources using appropriate tools or scripts - Cleanse and validate data to ensure accuracy and consistency - Maintain data extraction processes and scripts (where applicable) 2. Sales Reporting & Dashboards - Responsible for in-time and accurate operational report and analysis for central and region sales & marketing (daily reports) - Proactively reporting on sales KPIs include but not limited to sales pace, RT/WS TA achievement, showroom traffic, order performance and sales funnel on different data granularities - Month-end/year-end retail landing result delivery - Leading interpretation of business requirements to create dashboards, analysis, reports, and other data visualizations that provide business insight 3. Basic Market & Sales Analysis - Assist in analyzing market trends and sales performance based on extracted data - Support tactical teams with data for ad-hoc analysis - Help prepare presentation materials with reliable data inputs 4. Process & Data Governance - Document data extraction and reporting processes - Work with IT to improve data structures and reporting efficiency - Ensure compliance with data security and governance policies. - Bachelor degree or above, preferably in Data Science, Business, Information Systems, or related fields. - Practical experience in using data analysis tools or scripting for data extraction and processing (e.g., SQL, Python, R, Excel Power Query, Tableau Prep, Alteryx, or similar). - Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus. - English level-CET 6 and above. - 2 years’ experience in data extraction, reporting, or analysis; automotive or sales industry background preferred. - High attention to detail and a strong commitment to data accuracy. Beijing Mercedes-Benz Sales Service Co., Ltd.", "summaryDescription" : "Sales Data Analysis at Beijing Mercedes-Benz Sales Service Co.. Skills: Data analysis, Sales reporting, Data visualization. Extract, process, and validate sales data. Support sales reporting and performance", "createdAt" : "2026-06-14T06:42:27.615", "lastUpdated" : "2026-06-15T13:43:47.516", "ingestTimestamp" : "2026-06-14T06:42:27.615", "mongoId" : "69ce5e3b9bc74574cb677aa8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data extraction", "Data processing", "Data validation", "Sales reporting", "Dashboard creation", "Data analysis", "Data visualization", "Market trend analysis", "Sales performance analysis", "Automotive industry", "Sales industry", "SQL", "Python", "R", "Excel Power Query", "Tableau Prep", "Alteryx", "Tableau", "Power BI" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde3e52beec4dd3d9a03fa", "title" : "Data Analysis and Quality Assurance Director", "company" : "Texas Workforce Commission", "industry" : "Government", "salary" : { "min" : 155000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Data Analysis and Quality Assurance in Austin, Texas, adjusted for government industry and seniority." }, "location" : "826770", "locations" : [ "826770", "
Austin:1117 Trinity St (320TX-4002)
1117 Trinity St
Austin, 78701-1919

" ], "timestamp" : "2026-06-15T08:50:23.902", "fingerprint" : "59540f617c815fc9a9369d5c690638b92eadeb9abb68f7061cbad208bee2e008", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=34107", "externalId" : "34107", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Strategic planning", "Policy development", "Data analysis", "Reporting", "Quality assurance", "Process improvement", "Forecasting", "Modeling" ], "hardSkillsList" : [ "Data reporting", "Data analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data reporting", "level" : "intermediate" }, { "name" : "Data 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" }, { "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 analysis, Quality assurance, Data engineering, Machine learning", "majorSkillsList" : [ "Data analysis", "Quality assurance", "Data engineering", "Machine learning" ], "coreResponsibilities" : "Direct data reporting and analysis activities, Develop techniques for analyzing and reporting data, Remain compliant with state and federal rules, Develop and establish goals and objectives, Provide direction, guidance, and assistance in developing reports, Provide direction, guidance, and assistance in collecting data, Review and approve reports, Review and approve data collection, Review and approve analysis, Ensure accuracy of reports, Ensure quality reports are distributed, Review guidelines, procedures, rules, Monitor compliance related to contract and procurement databases, Make recommendations to improve data collection, Make recommendations to improve data analysis, Plan, develop, and approve schedules, Plan, develop, and approve priorities, Plan, develop, and approve standards, Review results of special investigations, Review results of internal audits, Review results of research studies, Review results of forecasts, Review results of modeling exercises, Provide direction and guidance, Perform advanced managerial work, Provide direction and guidance in strategic operations, Provide direction and guidance in planning, Establish goals and objectives, Respond to audit requests, Develop guidelines, procedures, policies, rules, and regulations, Develop schedules, priorities, and standards, Coordinate data collection, Coordinate reporting, Coordinate quality, Evaluate data collection, Evaluate reporting, Evaluate quality, Develop data reports, Develop policies and procedures for producing quality reports, Develop policies and procedures for maintaining data integrity, Plan work of others, Assign work of others, Supervise work of others", "teamCollaboration" : "Cross-functional teams; Internal audits; External audits", "projectManagementSkills" : [ "Strategic planning", "Policy development", "Roadmap planning" ], "domainKnowledge" : "Procurement; Contract management; State data reporting; Federal regulations", "domainList" : [ "procurement", "contract-management", "state-data-reporting", "federal-regulations" ], "domainSpecificKnowledge" : [ "Procurement", "Contract management", "State data reporting", "Federal regulations" ], "toolProficiency" : [ "Dbt Cloud" ], "communicationSkills" : "Executive presentations; Technical documentation; Client meetings", "documentationSkills" : "Technical writing; API documentation; Architecture diagrams", "continuousLearning" : "Training and development opportunities", "innovationCreativity" : "Innovative ideas; Streamline processes", "problemSolvingSkills" : "Problem solver; Root cause analysis; Data-driven decision making", "specialRequirements" : "Texas resident required, Relocate to Texas required", "outcomesObjectives" : "Ensure departmental processes are impartial; Ensure departmental processes are transparent; Ensure departmental processes are professional; Acquisitions of program services for the State", "qualificationsBasic" : "Five years of experience in oversight and direction of an agency or in strategic planning and policy development and implementation, Two years of experience in administrative management or supervisory capacity, Two years of experience in data collection and analysis, One year experience in management and direction of staff relevant to data collection and analysis, Experience with state data reporting and analysis", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Analysis and Quality Assurance (DAQA) Director Who We Are: Texas Workforce Commission connects people with careers across the state. We are based in Austin on the east side of the Texas State Capitol, in the Business Operations Division located at 1117 Trinity Street in Austin. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. Who You Are: A self-starting, motivated, collaborative problem solver who understands the value of data analysis in measurement of procurement and contract related activities for the Procurement and Contract Services Department. You should share our department’s mission to provide excellent customer service and ensure that departmental processes are impartial, transparent, and professional. You should be innovative and open to new ideas to streamline existing processes. We strive to ensure that acquisitions of program services are conducted with the best outcome for the State in mind. What you Will Do: The Data Analysis and Quality Assurance (DAQA) Director: -Directs data reporting and analysis activities. -Develops and implements techniques for analyzing and reporting data in meaningful ways and remains compliant with state and federal rules and regulations. -Develops and establishes goals and objectives consistent with the agency policy and procedure. -Provides direction, guidance, and assistance in developing reports and collecting data related to contracts and procurement. -Reviews and approves reports, data collection and analysis, and ensures accuracy and that quality reports are distributed. -Reviews guidelines, procedures, rules, and regulations; and monitors compliance related to contract and procurement databases. -Makes recommendations to improve data collection and analysis. -Plans, develops, and approves schedules, priorities, and standards for achieving goals. -Reviews results of special investigations, internal audits, research studies, forecasts, and modeling exercises to provide direction and guidance. -Performs advanced (senior-level) managerial work providing direction and guidance in strategic operations and planning. Works under minimal supervision, with extensive latitude for the use of initiative and independent judgment. You Will be Trusted To: -Establish goals and objectives. -Respond to audit requests from internal and external entities. -Develop guidelines, procedures, policies, rules, and regulations. -Develop schedules, priorities, and standards for achieving established goals. -Coordinate and evaluate data collection, reporting, and quality. -Develop and evaluate data reports and policies and procedures for producing quality reports and maintaining data integrity. -Plan, assign, and supervise the work of others. -Work under limited supervision, with considerable latitude for the use of initiative and independent judgment. -Performs other duties as assigned. You Qualify With: -Five years of full-time experience in the oversight and direction of an agency program; or in strategic planning and policy development and implementation, two years of which must have been in an administrative management or supervisory capacity. -Relevant academic credits may be applied toward experience qualifications for this position. You Are a Great Fit With: -A minimum of two years’ experience in data collection and analysis. -One year experience in the management and direction of staff relevant to data collection and analysis. -Experience with state data reporting and analysis. You Gain: -A Family Friendly Certified Workplace. -Competitive starting salary: $9,166.67 to $9,583.34/month, depending on experience -Defined Retirement Benefit Plan -Optional 401(k) and 457 accounts -Medical Insurance -Paid time off, including time for vacation, sick and family care leave -Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits. VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications, and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_ProgramManagement.pdf HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-Austin", "summaryDescription" : "Data Analysis and Quality Assurance Director at Texas Workforce Commission. Skills: Data analysis, Quality assurance, Data engineering, Machine learning. Direct data reporting and analysis activities. Develop techniques for analyzing and reporting data", "createdAt" : "2026-06-14T01:12:18.507", "lastUpdated" : "2026-06-15T08:50:23.902", "ingestTimestamp" : "2026-06-14T01:12:18.507", "mongoId" : "69dde3e52beec4dd3d9a03fa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data reporting", "Data analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Quality assurance", "Data engineering", "Machine learning", "Strategic planning", "Policy development", "Reporting", "Process improvement", "Forecasting", "Modeling", "Roadmap planning", "Procurement", "Contract management", "State data reporting", "Federal regulations", "Dbt Cloud" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307653f292fd229c01868b", "title" : "Data Reporter, Senior Data Reporter", "company" : "Financial Times", "industry" : "Media", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Reporter in New York, United States, with adjustments for the media industry and company size." }, "location" : "New York", "locations" : [ "New York" ], "timestamp" : "2026-06-16T11:05:22.596", "fingerprint" : "841d880dee9c0cb749a04eed70320c7034a93595b270ca6b0d46acd3cd552bdc", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/financialtimes33/jobs/4895510101", "externalId" : "4895510101", "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" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, R, Excel, APIs, Databases, Web scraping, HTML, CSS, JavaScript, D3", "professionalSkills" : [ "Data acquisition", "Data cleaning", "Data analysis", "Reporting", "Storytelling", "Visualisation", "Interactive content", "Journalistic techniques", "Analytical projects", "Investigative projects", "Business reporting", "Analytical storytelling" ], "hardSkillsList" : [ "Quantitative analysis", "Data interpretation", "Data visualisation", "Journalistic integrity" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data visualisation", "level" : "intermediate" }, { "name" : "Journalistic integrity", "level" : "intermediate" } ], "majorSkills" : "Data journalism, Data analysis, Visual storytelling, Data visualisation", "majorSkillsList" : [ "Data journalism", "Data analysis", "Visual storytelling", "Data visualisation" ], "coreResponsibilities" : "Develop original, data-driven stories, Source datasets, Collect datasets, Clean datasets, Analyse datasets, Build compelling charts, Build graphics, Build interactive visualisations, Identify trends within datasets, Identify anomalies within datasets, Identify opportunities within datasets, Run analytical projects, Complete analytical projects, Complete shorter-term assignments, Collaborate with reporters, Collaborate with editors, Collaborate with visual journalists, Support colleagues, Use public records, Use databases, Use APIs, Use web scraping techniques, Use proprietary datasets, Ensure reporting meets highest standards, Ensure analysis meets highest standards, Contribute to development of data journalism capabilities", "teamCollaboration" : "Cross-functional teams; Reporters and editors; Data visualisation team", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Institutional investing; Wealth management; Financial advisory industry", "domainList" : [ "institutional-investing", "wealth-management", "financial-advisory-industry" ], "domainSpecificKnowledge" : [ "Institutional investing", "Wealth management", "Financial advisory industry" ], "toolProficiency" : [ "Flourish", "Adobe Illustrator" ], "communicationSkills" : "Translate quantitative findings", "problemSolvingSkills" : "Data analysis", "outcomesObjectives" : "Produce exclusive, data-driven reporting; Produce visual storytelling; Create engaging visualisations; Create interactive content; Deliver insights readers cannot find elsewhere; Enhance storytelling; Enhance audience engagement; Uncover new reporting opportunities", "qualificationsBasic" : "Demonstrated experience producing data-driven journalism, Interest in data journalism, Interest in visual storytelling, Interest in financial or business news, Proven track record to identify, analyse and communicate compelling stories through data, Experience using Python or R for data acquisition, cleaning, analysis and reporting, Proficiency with Excel, Experience working with APIs, Experience working with databases, Experience working with web scraping techniques, Knowledge of data visualisation standard processes, Exceptional attention to detail, Commitment to accuracy, Ability to translate complex quantitative findings into clear and engaging journalism for non-technical audiences, Communication skills, Collaboration skills, Project management skills, Experience working successfully within cross-functional teams, Experience working in time-sensitive environments", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us The Financial Times is one of the world’s leading news organisations, globally recognised for its authority, integrity and accuracy, with a mission to deliver quality information and services worldwide. At the FT, curiosity thrives and ambitious thinking is rewarded. Here, you’re given the chance to reach millions, create work that matters and deliver impartial journalism in a polarised world. In our warm, collaborative culture, you’ll connect with a diverse community of experts who support your growth, career aspirations and wellbeing. Your future at the FT will be filled with opportunities that challenge and inspire you. With no fixed path, you’ll discover new skills and forge a career that can take you anywhere. Build a newsworthy career at the FT. Our Commitment to Equity in the Workplace We believe in the power of unique perspectives and want all voices in our organisation to be heard, respected and valued. A supportive workplace is one where employees feel they can be themselves and operate to their full potential. We are committed to removing barriers for everyone, with a focus on addressing those faced by underrepresented groups. The Role / Position Overview FT Specialist is seeking a Data Reporter / Senior Data Reporter to join our growing data journalism team, producing exclusive, data-driven reporting and visual storytelling for FundFire and Financial Advisor IQ. This role sits at the intersection of journalism, data analysis and visual design. You will be responsible for sourcing, cleaning, analysing and interpreting complex datasets to uncover original stories covering institutional investments, wealth management and the financial advisory industry. You will also create engaging visualisations and interactive content that help our journalism stand out and deliver insights readers cannot find elsewhere. Working as part of a six-person data visualisation team, you will collaborate closely with reporters and editors across both publications while reporting to the Managing Editor of Data Visualization. The successful candidate will be equally comfortable developing ambitious long-term investigative and analytical projects as well as delivering shorter-turnaround stories that respond to emerging industry trends and news events. We are looking for a curious, collaborative and entrepreneurial journalist who is passionate about using data to reveal meaningful stories and who is committed to continually developing their skills in a fast-evolving newsroom environment. Key Responsibilities Develop original, data-driven stories covering institutional investing, wealth management and financial advisory businesses. Source, collect, clean and analyse structured and unstructured datasets using a range of journalistic and analytical techniques. Build compelling charts, graphics and interactive visualisations that enhance storytelling and audience engagement. Identify trends, anomalies and opportunities within datasets that lead to exclusive reporting. Run and complete both long-term analytical projects and shorter-term assignments driven by current events . Collaborate with reporters, editors and visual journalists across FundFire and Financial Advisor IQ. Support colleagues in applying data journalism procedures and interpreting quantitative information accurately. Use public records, databases, APIs, web scraping techniques and proprietary datasets to uncover new reporting opportunities. Ensure all reporting and analysis meets the highest standards of accuracy, transparency and journalistic integrity. Contribute to the ongoing development of data journalism capabilities across FT Specialist. Required Skills / Experience Demonstrated experience producing data-driven journalism, business reporting or analytical storytelling in a newsroom or comparable environment. Strong interest in data journalism, visual storytelling and financial or business news. Proven track record to identify, analyse and communicate compelling stories through data. Experience using Python or R for data acquisition, cleaning, analysis and reporting. Strong proficiency with Excel and other data analysis tools. Experience working with APIs, databases and web scraping techniques. Knowledge of data visualisation standard processes and experience using tools such as Flourish, Adobe Illustrator, HTML, CSS, JavaScript, D3 or comparable front-end technologies. Exceptional attention to detail and commitment to accuracy. Ability to translate complex quantitative findings into clear and engaging journalism for non-technical audiences. Strong communication, collaboration and project management skills. Experience working successfully within cross-functional teams and time-sensitive environments. What’s in it for You? Our Benefits Our benefits vary by location but we are committed to providing best-in-class perks across all our offices. These include generous annual leave, medical cover, inclusive parental leave packages, subsidised gym memberships and opportunities to give back to the community. Full details of our benefits are available here: https://aboutus.ft.com/careers/benefits. We’ve embraced a 50% hybrid working model (averaging two to three days onsite) that fosters trust and remote adaptability while encouraging in-person camaraderie and peer learning. Additionally, we are open to accommodating specific flexible working pattern requests for all roles where feasible. Accessibility We are committed to creating an inclusive and accessible recruitment process. Please let us know if you require any reasonable adjustments or accommodations during the application process or interview stage. If you would like to discuss your requirements, please contact talent@ft.com and a member of our team will be happy to help. Further Information A reasonable estimate of the salary range for this role is $75,000-$95,000. The upper end of the scale reflects pay of someone who comes in at the senior reporter level, with confirmed experience and strong work to show. Earlier career candidates will be considered for reporter-level roles. To ensure pay fairness, the successful candidate will be offered a salary within the estimated salary range based on a number of considerations including but not limited to: skills; experience and training; certifications; and other business and organisational needs. The disclosed range estimate is for our NYC office and has not been adjusted for other locations. This role is part of the FT Specialist US Guild and covered under a collective bargaining agreement with the Writers’ Guild of America East. At the FT, we embrace innovation and the use of technology and appreciate that individuals may use AI tools as part of their job application process. Whilst we are happy for you to use AI to assist with your application, it is crucial that all information provided is authentic and accurately represents your skills, experience, and qualifications. Candidates should be aware that the use of AI throughout the application process may be monitored to ensure a fair and transparent hiring process for all. Please beware of fraudulent job postings and offers claiming to be from the Financial Times. All legitimate opportunities will direct you to apply through the official Financial Times careers site, and the FT will never ask for financial information, payments, or referrals to third parties during the hiring process. If you have any concerns about the legitimacy of a job posting or suspect any scam activity, please contact talent@ft.com. Interested in the FT but don’t see the right role yet? Join our Talent Community to receive exclusive updates, featured jobs, and insights into working at the FT.", "summaryDescription" : "Data Reporter, Senior Data Reporter at Financial Times. Skills: Data journalism, Data analysis, Visual storytelling, Data visualisation. Develop original, data-driven stories. Source datasets", "postedDate" : "2026-06-16T01:20:06.423", "createdAt" : "2026-06-16T01:20:06.423", "lastUpdated" : "2026-06-16T11:05:22.596", "ingestTimestamp" : "2026-06-16T01:20:06.423", "mongoId" : "6a307653f292fd229c01868b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Quantitative analysis", "Data interpretation", "Data visualisation", "Journalistic integrity", "Data journalism", "Data analysis", "Visual storytelling", "Data acquisition", "Data cleaning", "Reporting", "Storytelling", "Visualisation", "Interactive content", "Journalistic techniques", "Analytical projects", "Investigative projects", "Business reporting", "Analytical storytelling", "Project management", "Institutional investing", "Wealth management", "Financial advisory industry", "Flourish", "Adobe Illustrator" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2176c774d8ee00a0c1adbc", "title" : "Data Engineer, WW Promotions Data and Insights", "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" : "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" : "6a306031f292fd229cf87dd6", "title" : "Junior Reporting and Control Analyst", "company" : "Ebury", "industry" : "FinTech", "salary" : { "min" : 24000.0, "max" : 32000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Junior Reporting and Control Analyst in Málaga, Spain, adjusted for the FinTech industry and entry-level experience." }, "location" : "Málaga", "locations" : [ "Málaga" ], "timestamp" : "2026-06-16T09:22:23.918", "fingerprint" : "4a7732bbdf2557c6c7d61d8758e370f196f09688b32558de89bfeef19ac7224d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://ebury.com/company/careers/job?gh_jid=4898309101", "externalId" : "4898309101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Málaga", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "36.7647913,-4.4422005" }, { "city" : "Lisbon", "country" : "Portugal", "continent" : "eu", "source" : "llm", "workMode" : "remote", "geo" : "38.7077507,-9.1365919" } ], "locationText" : "Málaga, Spain; Lisbon, Portugal", "employmentType" : "FULL_TIME", "experienceMinYears" : 1, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Microsoft Excel, Google Sheets", "professionalSkills" : [ "Balance sheet reporting", "Reconciliation", "Financial data integrity", "Reporting issue detection", "Audit request management" ], "hardSkillsList" : [ "Treasury reporting", "Financial reporting", "External audit support" ], "hardSkills" : [ { "name" : "Treasury reporting", "level" : "intermediate" }, { "name" : "Financial reporting", "level" : "intermediate" }, { "name" : "External audit support", "level" : "intermediate" } ], "majorSkills" : "Treasury reporting, Financial control, Audit support", "majorSkillsList" : [ "Treasury reporting", "Financial control", "Audit support" ], "coreResponsibilities" : "Perform monthly balance sheet reporting, Perform monthly reconciliation for treasury accounts, Investigate and explain variances, Maintain integrity of financial data, Perform reconciliations, Ensure accuracy across systems, Detect and flag reporting issues, Coordinate with other departments for correction, Lead treasury-related external audit requests, Prepare and organize audit documentation, Answer auditor queries, Ensure smooth audit process, Provide general support to Treasury, Provide general support to Finance, Assist with special projects, Assist with analysis", "teamCollaboration" : "Cross-functional relationships; Treasury Reporting and Control team; Group Head of Treasury Reporting and Control", "domainKnowledge" : "Treasury reporting; Financial statements; Financial instruments; Cash equivalents; Debt instruments", "domainList" : [ "treasury-reporting", "financial-statements", "financial-instruments", "cash-equivalents", "debt-instruments" ], "domainSpecificKnowledge" : [ "Treasury reporting", "Financial statements", "Financial instruments", "Cash equivalents", "Debt instruments" ], "toolProficiency" : [ "Microsoft Excel", "Google Sheets" ], "communicationSkills" : "Build crossfunctional relationships", "documentationSkills" : "Prepare audit documentation", "continuousLearning" : "Dedicated Mentorship", "problemSolvingSkills" : "Investigate variances; Explain variances; Detect reporting issues; Coordinate correction actions", "qualificationsBasic" : "1-2 years experience financial services, High level Microsoft Excel, High level GoogleSheet, High level English", "qualificationsPreferred" : "Experience in an auditing firm, Experience as an accountant", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed. If you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future. Junior Treasury Reporting Analyst Ebury Malaga Office - Hybrid: 4 days in the office, 1 day working from home per week This position will work within the Treasury Reporting and Control team of Ebury Group Treasury, interacting constantly with the Group Head of Treasury Reporting and Control. What you’ll do Monthly balance sheet reporting and reconciliation for key treasury accounts, including cash and cash equivalents, debt and other instruments. You'll be responsible for investigating and explaining any variances to ensure the accuracy of our financial statements. You will help maintain the integrity of financial data by performing reconciliations and ensuring accuracy across all systems. Detecting, flagging reporting issues and coordinating with other departments across the business for potential correction actions. Lead all treasury-related external audit requests. This includes preparing and organizing documentation, answering auditor queries, and ensuring a smooth and efficient audit process. You will provide general support to the Treasury and Finance teams as needed, including special projects and analysis. What you’ll need Team player, fast learner, able to multitask and prioritise workload appropriately. We are looking for an individual with drive and passion. 1-2 years experience working in the financial services industry in an auditing firm or as an accountant. High level in Microsoft Excel or GoogleSheet is a must. Flexibility with changing requirements in an evolving and fast-paced environment. Strong communication skills and an ability to build and leverage crossfunctional relationships. High level of English. Why Ebury? Competitive Starting Salary with an annual discretionary bonus that truly rewards your performance from day one. Dedicated Mentorship: Learn directly from experienced managers who are invested in your success. Cutting-Edge Technology: Leverage state-of-the-art tailor made tools and systems that enable you to perform at your best. Clear, Accelerated Career Progression: Defined pathways to leadership and specialist roles within Ebury. Dynamic & Supportive Culture: Work in a collaborative environment where teamwork and personal growth are prioritized. Generous Benefits Package: Access competitive benefits tailored to your location, which typically include health care and social benefits. Central Office: A fantastic location with excellent transport links. Ready to launch your career with a global FinTech? Click the ‘Apply’ Today and discover your potential at Ebury! #LI-JG1 About us Ebury delivers sophisticated, integrated solutions — business accounts, hedging, and financing — on a single platform with a seamless workflow. Our success is built on a simple premise and singular purpose: To help businesses operate and scale globally. Since its founding in 2009, Ebury has always been a fast-growing leader in fintech. Today, we bring together 1,800+ Eburians across nearly 70 cities and we’re always looking to add to our team. At the heart of our offering is a proprietary platform, purpose-built to help businesses seamlessly streamline and manage global cash flow. We focus on continuous product evolution and innovation to build the infrastructure for borderless growth and help our clients scale at every stage. The opportunities at Ebury are as diverse as our people, ranging from business development to engineering roles across our tech pillars. We believe in inclusion. We stand against discrimination in all forms and are against the intolerance of differences that makes us a modern and successful organisation. At Ebury, you can be whoever you want to be and still feel a sense of belonging no matter your story.", "summaryDescription" : "Junior Reporting and Control Analyst at Ebury. Skills: Treasury reporting, Financial control, Audit support. Perform monthly balance sheet reporting. Perform monthly reconciliation for treasury accounts", "postedDate" : "2026-06-15T23:25:28.006", "createdAt" : "2026-06-15T23:25:28.006", "lastUpdated" : "2026-06-16T09:22:23.918", "ingestTimestamp" : "2026-06-15T23:25:28.006", "mongoId" : "6a306031f292fd229cf87dd6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Treasury reporting", "Financial reporting", "External audit support", "Financial control", "Audit support", "Balance sheet reporting", "Reconciliation", "Financial data integrity", "Reporting issue detection", "Audit request management", "Financial statements", "Financial instruments", "Cash equivalents", "Debt instruments", "Microsoft Excel", "Google Sheets" ], "skillCount" : 16, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305649f292fd229cf26d99", "title" : "Senior PMT-ES, FinOps for AI, AWS Insights and Optimizations", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Project/Program/Product Management--Technical, Product Management - Technical, Cloud Computing", "salary" : { "min" : 152000.0, "max" : 205900.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-16T06:28:19.840", "fingerprint" : "17dea152cf4ee466f72d0cf022e2aa183b8cb03007f4bb07720486bfaf52e166", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10448907/apply", "externalId" : "06b86e1b-fd85-409a-a2ed-a704721569db", "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", "coreResponsibilities" : "Focus on product strategy, Develop roadmap, Create user stories, Collaborate cross-functionally", "teamCollaboration" : "Cross-functional collaboration", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "AI is fundamentally reshaping cloud economics. At the center of this shift is token economics, the emerging discipline of understanding, measuring, and optimizing the cost of every token consumed across models, applications, and business functions. The AWS Billing organization is uniquely positioned to help customers navigate this transformation, providing the cost visibility, allocation models, and optimization tools that make AI spending as manageable as any other workload. We're building the financial intelligence layer that enables enterprises to scale AI investment with confidence. As Senior Product Manager - Technical, you'll own the product strategy and execution for FinOps for AI across AWS, defining how customers understand, allocate, monitor, control, and optimize their AI and ML spend. You'll be at the forefront of token economics, building the cost management primitives that give finance teams, ML platform engineers, and business leaders visibility into the true cost of their AI workloads. As AI workloads shift from experimentation to production, you'll define how organizations budget, forecast, and govern token consumption at enterprise scale. In this role, you'll drive the vision for making AWS the platform for AI cost intelligence, define the product strategy that governs how AI workload costs are measured, attributed, and optimized, and own the frameworks that connect token-level spending to business outcomes. You'll evaluate emerging patterns in AI infrastructure and determine how billing and cost management must evolve to serve them. You'll pioneer the tooling that transforms token economics into a manageable, optimizable discipline for every enterprise running AI on AWS. You'll collaborate with engineering teams, applied scientists, and product teams across AWS (including Bedrock, AgentCore, SageMaker, EC2, and Trainium/Inferentia) to ensure customers have end-to-end cost visibility and optimization for their AI workloads. This role requires deep technical understanding of AI/ML infrastructure economics, token pricing models, cloud billing systems, and enterprise financial planning, combined with the ability to influence across organizational boundaries to deliver a unified cost experience. If you're passionate about making AI economically sustainable at scale and excited about defining the discipline of token economics for the world's largest cloud, this role offers the opportunity to shape AWS's FinOps for AI strategy from the ground up. Key job responsibilities * Create the product vision, and strategy for internal and external customers. * Engage with customers through a variety of channels and serve as the voice of the customer internally. * Gain feedback from customers to ensure right focus in building our products * Manage the entire product life cycle from strategic planning to tactical execution. * Partner with engineering teams to deliver on the product roadmap. * Establish goals and review metrics to identify opportunities and measure the success of the product features. * Define and maintain a product roadmap with inputs from all stakeholders. * Provide effective written and verbal updates on the products and key projects to senior leadership and stakeholders. Basic Qualifications: - 5+ years of technical product management with internet business experience - 5+ years of working as a Technical Product Manager experience - 3+ years of technical (software development, network development, IT, other related) experience - 7+ years of full product life cycle experience - 5+ years of P&L management and pricing experience - 5+ years of creating written docs for development of new products experience - 5+ years of enterprise security product experience - 5+ years of product management in the cloud computing technology space experience - Bachelor's degree in computer science, engineering, math, finance, or economics - Experience in taking a product from conception & definition phase through engineering design and taking it to market - Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market) Preferred Qualifications: - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience working within teams delivering software products and features using agile methodologies 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, WA, Seattle - 152,200.00 - 205,900.00 USD annually", "summaryDescription" : "Senior PMT-ES, FinOps for AI, AWS Insights and Optimizations at Amazon Development Center U.S., Inc.. Focus on product strategy. Develop roadmap", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T21:58:12.707", "lastUpdated" : "2026-06-16T06:28:19.840", "ingestTimestamp" : "2026-06-15T21:58:12.707", "mongoId" : "6a305649f292fd229cf26d99", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448907/apply", "salaryAnnualMin" : 152000, "salaryAnnualMax" : 205900, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7c9174d8ee00a094dbf0", "title" : "Senior, Accounting and Reporting", "company" : "Silicon Ranch Corporation", "industry" : "FinTech", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior/Senior Accounting and Reporting role in Nashville, TN, adjusted for the energy industry and company size." }, "location" : "Nashville, Tennessee, United States", "locations" : [ "Nashville", "Tennessee", "United States" ], "certifications" : [ "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA" ], "timestamp" : "2026-06-16T03:02:56.234", "fingerprint" : "ff98fbc57f1115e3caddef63a3d9f9ef363e2196568ba164730f4d0c90c4547d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/siliconranch/jobs/5180107008", "externalId" : "5180107008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Nashville", "state" : "Tennessee", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.1622767,-86.7742984" } ], "locationText" : "Nashville, Tennessee, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "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" ], "rawDescription" : "Silicon Ranch is a fully integrated provider of customized renewable energy, carbon, and battery storage solutions for a diverse set of partners across North America. We are known for putting community partnerships first, and are the only renewable energy company in the U. S. that owns and operates all of its solar ranches and has a 100% track record for successful delivery. We have the largest utility scale agrivoltaics portfolio in the country under Regenerative Energy®, our nationally recognized holistic approach to project design, construction, and land management. Our model incorporates regenerative ranching and other regenerative land management practices to restore livelihoods and soil health, biodiversity, and water quality. Through our subsidiary, Clearloop, we are able to help businesses of all sizes reclaim their carbon footprint with a direct investment in building new solar projects while also helping bring renewable energy and economic development to distressed communities. By joining Silicon Ranch, you will be joining a team of experienced and dedicated individuals who have proven time and again that it is indeed possible to not only “make solar do more”, but to make the promise of carbon-free, renewable energy that benefits people right where it comes from a tangible, measurable, and replicable reality. Silicon Ranch is committed to creating a diverse and inclusive workplace that is reflective of the communities in which we work and serve. We are an equal opportunity employer and will consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. Job Description Position: Senior, Accounting and Reporting Location: Nashville, TN Overview: This position will play a critical role in the Company’s financial reporting, external financial reporting, and financial compliance reporting. Main Responsibilities: This position will be responsible for compiling and presenting the monthly and quarterly financial package to management. This position will also provide assistance to the Senior Manager with monthly, quarterly, semi-annual, and annual financial reporting and compliance requirements. This entails entity level financial statements on a quarterly, semi-annual, and annual basis, debt covenant compliance calculations, covenant ratio calculations, etc. There will also be involvement required to support the audits during interim and year end fieldwork. Responsibilities will include drafting stand alone annual financial statements, preparing supporting working papers and being a direct contact for the Company's independent auditors. This position is expected to have a strong working knowledge of US GAAP as well as a strong knowledge of accounting control and process. The Senior Accountant will be expected to work with the Senior Manager and Manager in the adoption of new accounting standards, including the preparation of key deliverables and supporting documentation. This position will be responsible for recording intercompany transactions for operating projects on a monthly and quarterly basis. As part of dynamic and growing team, this position will be expected to assist in other areas of the financial reporting and close process as necessary. Qualifications: Education: Bachelor’s Degree in Finance or Accounting Experience: 2-4 years of work experience Our interview process: A typical interview process at Silicon Ranch might include the below stages. Please note that we may make changes to these steps as needed, and details will be provided to you early on in the process. Introductory Interview with our recruiter Hiring Manager Interview to dive into technical skills and behavioral questions Panel Interview to assess cross-functional skills and dive deeper into technical skills Executive Interview to answer high-level questions about SRC and the team", "summaryDescription" : "Senior, Accounting and Reporting at Silicon Ranch Corporation", "postedDate" : "2026-06-14T18:41:11.709", "createdAt" : "2026-06-14T18:41:11.709", "lastUpdated" : "2026-06-16T03:02:56.234", "ingestTimestamp" : "2026-06-14T18:41:11.709", "mongoId" : "6a2c7c9174d8ee00a094dbf0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "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" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c798e74d8ee00a0941d45", "title" : "Business and Reporting Analyst", "company" : "Fanatics Collectibles", "industry" : "E-Commerce", "salary" : { "min" : 35000.0, "max" : 45000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Business and Reporting Analyst in London, UK, adjusted for the e-commerce industry." }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "timestamp" : "2026-06-16T02:02:12.405", "fingerprint" : "1272cd0270a8e1c708cbca7264662ce021ef4bdc918515f4db8c40a31c655891", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fanaticscollectibles/jobs/4242601009", "externalId" : "4242601009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "teamCollaboration" : "Cross-functional teams; International stakeholders", "domainKnowledge" : "Product catalogue structures; International SKU configurations; Regional market differences; Mass Retail sales tracking; B2B vs. DTC filtering; Market-specific segmentation; E-commerce; Retail; Marketplace environments", "domainList" : [ "product-catalogue-structures", "international-sku-configurations", "regional-market-differences", "mass-retail-sales-tracking", "b2b-vs-dtc-filtering", "market-specific-segmentation", "e-commerce", "retail", "marketplace-environments" ], "domainSpecificKnowledge" : [ "Product catalogue structures", "International SKU configurations", "Regional market differences", "Mass Retail sales tracking", "B2B vs. DTC filtering", "Market-specific segmentation", "E-commerce", "Retail", "Marketplace environments" ], "communicationSkills" : "Communicate insights clearly", "problemSolvingSkills" : "Analytical skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About the Team Fanatics Collectibles is a new company operating at the intersection of collectibles, culture, and technology. Backed by world-class investors, operators, and sports & entertainment partners, we are building the global leader in next-generation collectibles. As part of the broader Fanatics ecosystem, we leverage a digital sports platform that spans over 900 sports properties and engages more than 81 million fans. Together, we are reimagining every part of the collectibles experience for fans, partners, and creators. Role Summary Fanatics Collectibles is seeking a Business & Reporting Analyst to support international (EMEA) teams with data-driven insights and scalable reporting solutions. This role partners with Product, Marketing, Sales, and Operations to deliver analytics, dashboards, and reporting that inform commercial and product decisions. This is a technical analytics role focused on building, maintaining, and leveraging data systems to support international business performance. The role is based on-site at our Fanatics Collectibles London office, supporting close collaboration with cross-functional teams. Responsibilities Analytical Support (International EMEA) Provide analytical support to Product, Marketing, Sales, and Operations teams across international markets Conduct product performance analysis at SKU, category, and regional levels Perform customer segmentation and behavioral analysis to inform campaigns and product strategies Lead deep dives into product category performance and identify key trends and opportunities Support exploratory analysis for new initiatives, strategic projects, and finance teams Fulfill ad hoc data requests and custom reporting needs Generate insights using tools such as Amplitude and other analytics platforms Dashboard Development & Maintenance Design, build, and maintain dashboards tailored to international business needs Manage and enhance key dashboards, including: Retail Tracker International Monthly Sales Dashboard Product Metadata Dashboard OKRs (International/US) Customize dashboards to reflect regional differences in product catalogues, SKU structures, and sales channels Implement and maintain business logic, including: Mass Retail sales tracking B2B vs. DTC filtering purchases Market-specific segmentation Ensure data accuracy, consistency, and reliability across all reporting outputs Continuously improve dashboards based on evolving stakeholder needs Data & Systems Understanding Develop strong understanding of: Product catalogue structures International SKU configurations Regional market differences Apply appropriate filters and transformations to ensure relevant and accurate reporting Collaborate with stakeholders to refine metrics, definitions, and reporting logic Review related data models Cross-Functional Collaboration Partner with international stakeholders to understand reporting needs and translate them into scalable solutions Communicate insights clearly to both technical and non-technical audiences Support alignment on key metrics and reporting standards across regions Key Projects Topps NOW Subscriptions analytics and reporting International third party sales data dashboard development Marketing (Braze) reporting dashboard International product attribute cleanup and data quality improvements Qualifications Required 2–4 years of experience in data analytics, business intelligence, or reporting Experience building and maintaining dashboards (e.g., Sigma, Tableau, Looker, Amplitude, etc.) Strong analytical skills with ability to interpret complex datasets Familiarity with data structures, segmentation, and filtering logic Ability to manage multiple requests and priorities across regions Strong communication skills Experience collaborating with data engineers, modelers Preferred Experience working with international or multi-region datasets Familiarity with e-commerce, retail, or marketplace environments Experience with customer analytics and behavioral data Basic SQL or data querying experience (e.g., Snowflake) The above list of job duties is not exclusive or exhaustive and the post holder will be required to undertake such tasks as may reasonably be expected within the scope and grading of the post. Subject to applicable laws, Fanatics Collectibles may choose to run a background check. Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud. Fanatics never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for interview, and ensure your communication is coming from a Fanatics email address (including @collectfanatics.com). For added security, where possible, apply through our company website at www.fanaticsinc.com/careers By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.", "summaryDescription" : "Business and Reporting Analyst at Fanatics Collectibles", "postedDate" : "2026-06-14T21:47:30.839", "createdAt" : "2026-06-14T21:47:30.839", "lastUpdated" : "2026-06-16T02:02:12.405", "ingestTimestamp" : "2026-06-14T21:47:30.839", "mongoId" : "6a2c798e74d8ee00a0941d45", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Product catalogue structures", "International SKU configurations", "Regional market differences", "Mass Retail sales tracking", "B2B vs. DTC filtering", "Market-specific segmentation", "E-commerce", "Retail", "Marketplace environments" ], "skillCount" : 9, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "69fc49a74c40e2acd1a833f8", "title" : "Operations Data & Reporting Associate", "company" : "Hyundai Capital Canada", "industry" : "FinTech", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Operations Data & Reporting Associate in Toronto, Canada, within the Financial Services industry, adjusted for company size and full-time employment." }, "location" : "Canada-Ontario-Toronto", "locations" : [ "Canada-Ontario-Toronto" ], "timestamp" : "2026-06-16T05:40:41.006", "fingerprint" : "9ad0de56bdc61bc6a469800c3617265418c3a4bdf98dd95254f96cd6c67f8f29", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=114884", "externalId" : "114884", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "SQL, SAS, Python, Salesforce, AWS", "professionalSkills" : [ "Data analysis", "Reporting", "Business analytics", "Process improvement", "Automation" ], "hardSkillsList" : [ "Data analysis", "SQL", "SAS", "Tableau", "Excel", "PowerPoint", "Word", "Statistical analysis", "Data visualization" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" }, { "name" : "SAS", "level" : "intermediate" }, { "name" : "Tableau", "level" : "intermediate" }, { "name" : "Excel", "level" : "intermediate" }, { "name" : "PowerPoint", "level" : "intermediate" }, { "name" : "Word", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Reporting, SQL, Tableau", "majorSkillsList" : [ "Data analysis", "Reporting", "SQL", "Tableau" ], "coreResponsibilities" : "Prepare monthly reporting for HQ, Monitor key metrics, Develop and manage dashboards, Analyze and interpret large datasets, Leverage visualization and data analysis, Drive transformation and automation, Develop and optimize SQL codes, Develop and optimize SAS codes, Automate manual reporting, Support design of operational reports, Support strengthening of operational reports, Design business analytics dashboards, Develop business analytics dashboards, Deploy business analytics dashboards, Design operational reports, Develop operational reports, Deploy operational reports, Convert raw data into dashboards, Convert raw data into reports, Analyze large data sets, Uncover trends, Uncover automation opportunities, Uncover process improvements, Uncover insights, Assist with data quality assessment, Assist with data clean-up, Assist with data mapping, Assist Manager in UAT testing, Perform other duties as assigned", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Credit operations; Funding operations; Customer care operations; Collection operations; Back office operations", "domainList" : [ "credit-operations", "funding-operations", "customer-care-operations", "collection-operations", "back-office-operations" ], "domainSpecificKnowledge" : [ "Credit operations", "Funding operations", "Customer care operations", "Collection operations", "Back office operations" ], "toolProficiency" : [ "SQL", "SAS", "Tableau", "Excel", "PowerPoint", "Word", "Salesforce", "Rapid Miner", "AWS" ], "communicationSkills" : "Verbal communication; Written communication", "continuousLearning" : "Learn business applications", "innovationCreativity" : "Automation opportunities; Process improvements", "problemSolvingSkills" : "Problem solving; Analytical skills", "qualificationsBasic" : "2-3 years data analysis experience, SQL experience required, Tableau experience required, Bachelor's degree required", "qualificationsPreferred" : "SAS experience preferred, Python experience an asset, Salesforce experience an asset", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Who We Are: Hyundai Capital Canada (HCCA) is the Canadian captive finance business for Hyundai Motor Group. We go to market under the service brands Hyundai Motor Finance, Kia Finance and Genesis Finance. Through a network of over 450 Hyundai and Kia dealerships and 30 Genesis distributors nationwide, we provide indirect vehicle financing and leasing solutions to consumers and commercial customers. Employee Value Prop and Culture: Our employees contribute every day to a culture that is fast-paced, dynamic, energized, agile, and collaborative. From our employee programs to the unique design of our offices, we strive to create a connected, fun, positive, and rewarding workplace where employees feel appreciated, proud of their company, and deeply invested in HCCA’s success. Global One Company: Many countries. One identity. Hyundai Capital has offices around the world, including South Korea, the United States, China, the United Kingdom, Germany, and Brazil. Our work environments follow consistent themes that represent our global values: simplicity, collaboration, symmetry, and elements of nature. Position Details: This role will be responsible for delivering management reporting and analysis for the Operations department. As part of the reporting scope, you will prepare monthly reporting to headquarters and monitor key metrics across various Operational functions. You will proactively develop and manage dashboards by working closely with cross-functional teams to help them monitor performance easily. You will analyze and interpret large datasets and leverage visualization and data analysis to drive transformation and automation in the business. Duties and Responsibilities: Prepare monthly reporting requirements for HQ, which comprise of metrics for Credit, Funding, Customer Care, Collection, and back office operations. Develop and optimize various SQL and SAS codes of operation team to improve accuracy and clarity. Automate manual reporting to increase reporting efficiency when possible. Support the design and strengthening of operational reports and statistics. Design, develop, and deploy business analytics dashboards and operational reports using Tableau, Salesforce, or Excel to enable automated self-service productivity and performance reporting. Convert raw data into interactive, easy-to-understand dashboards and reports. Analyze large data sets using advanced statistical techniques and tools such as SAS, Rapid Miner, and task mining tool to uncover trends, automation opportunities, process improvements and insights. Assist with data quality assessment, data clean-up and data mapping from database tables to applications such as LOS, V8, CRM, and AWS. Assist Manager in UAT testing on automation projects such as RPA and eFunding or data projects. Perform all other duties as assigned. 2-3 years of experience in data analysis using SQL and Tableau. Education & Certification: Bachelor’s degree required in Computer Science, Business Analytics, Statistics or related field. Knowledge, Skills & Abilities: Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Excellent verbal and written communication skills. Advanced SQL skills and Tableau is a must Strong PC skills: Microsoft Word, Power Point, Excel. Experience with SAS is preferred. Ability to facilitate collaboration with diverse groups. Team oriented, but able to work independently and manage multiple tasks. Strong problem solving, analytical, organizational/planning skills. Experience with Python and Salesforce is an asset. Aptitude to learn business applications and to understand how that connects to the data. Willingness to work in a fast paced, frequently changing environment. Hyundai Capital Canada Inc. is committed to acknowledge applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. This posting is for an active, existing vacancy. Hyundai Capital Canada is currently hiring for this role and applications are being reviewed as part of a live recruitment process. Canada-Ontario-Toronto", "summaryDescription" : "Operations Data & Reporting Associate at Hyundai Capital Canada. Skills: Data analysis, Reporting, SQL, Tableau. Prepare monthly reporting for HQ. Monitor key metrics", "createdAt" : "2026-06-14T18:51:20.392", "lastUpdated" : "2026-06-16T05:40:41.006", "ingestTimestamp" : "2026-06-14T18:51:20.392", "mongoId" : "69fc49a74c40e2acd1a833f8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data analysis", "SQL", "SAS", "Tableau", "Excel", "PowerPoint", "Word", "Statistical analysis", "Data visualization", "Reporting", "Business analytics", "Process improvement", "Automation", "Credit operations", "Funding operations", "Customer care operations", "Collection operations", "Back office operations", "Salesforce", "Rapid Miner", "AWS" ], "skillCount" : 21, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a16291b58b93c861e959d60", "title" : "Structures Representative", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Structures Representative in California, adjusted for the construction industry and full-time onsite work." }, "location" : "United States-California", "locations" : [ "United States-California" ], "certifications" : [ "Professional Engineer (PE or P. Eng) license" ], "timestamp" : "2026-06-16T02:49:07.363", "fingerprint" : "57dc70533ad66eeea068620153e507d1b208185f9661fce930a1a71be1455be4", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=784255", "externalId" : "784255", "industryFunction" : { }, "structuredLocations" : [ { "state" : "California", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Microsoft Office, Bluebeam, Estimating software, Scheduling software", "professionalSkills" : [ "Estimating", "Bidding", "Purchase orders", "Subcontracts", "Scheduling", "Field engineering", "Program management" ], "hardSkillsList" : [ "Construction engineering", "Construction inspection" ], "hardSkills" : [ { "name" : "Construction engineering", "level" : "intermediate" }, { "name" : "Construction inspection", "level" : "intermediate" } ], "majorSkills" : "Construction management, Field engineering", "majorSkillsList" : [ "Construction management", "Field engineering" ], "coreResponsibilities" : "Develop construction engineering programs, Manage construction engineering programs, Develop inspection programs, Manage inspection programs, Prepare purchase orders, Prepare subcontracts", "teamCollaboration" : "Employee-owned culture", "domainKnowledge" : "Construction", "domainList" : [ "construction" ], "domainSpecificKnowledge" : [ "Construction" ], "toolProficiency" : [ "Microsoft Word", "Microsoft Excel", "Microsoft Outlook", "Bluebeam" ], "communicationSkills" : "Verbal communication; Written communication", "qualificationsBasic" : "Bachelor's degree in Engineering, 10 years related experience, Professional engineering license", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Required Qualifications Bachelor's degree in Engineering, Construction Management or closely related field 10 years related experience in various aspects of construction including estimating, bidding, preparing purchase orders and subcontracts, scheduling, and field engineering Requires professional engineering license recognized by the licensing board for the location of the position offered. Example: Professional Engineer (PE or P.Eng) license. Experience with Microsoft Office (Word, Excel, Outlook); Bluebeam, estimating & scheduling software, and web-based document collaboration software Experience developing and managing construction engineering and inspection programs Must have excellent verbal and written communication skills An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-California", "summaryDescription" : "Structures Representative. Skills: Construction management, Field engineering. Develop construction engineering programs. Manage construction engineering programs", "createdAt" : "2026-06-14T20:43:20.414", "lastUpdated" : "2026-06-16T02:49:07.363", "ingestTimestamp" : "2026-06-14T20:43:20.414", "mongoId" : "6a16291b58b93c861e959d60", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Construction engineering", "Construction inspection", "Construction management", "Field engineering", "Estimating", "Bidding", "Purchase orders", "Subcontracts", "Scheduling", "Program management", "Construction", "Professional Engineer (PE or P. Eng) license", "Microsoft Word", "Microsoft Excel", "Microsoft Outlook", "Bluebeam" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Construction", "llmIndustryConfidence" : 0.92 }, { "id" : "6a305b96f292fd229cf5f079", "title" : "Global HR Reporting and Analytics Lead (HR/Workday reporting)", "company" : "Clifford Chance", "industry" : "Legal Services", "salary" : { "min" : 3500000.0, "max" : 5500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Global HR Reporting and Analytics role in Delhi, India, adjusted for the legal industry and company size." }, "location" : "Delhi, IN", "locations" : [ "Delhi", "IN" ], "timestamp" : "2026-06-16T10:38:32.861", "fingerprint" : "c8905c3bf7fb478fafef899c77717d331d771cded5c56289145b02ff67298038", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/CliffordChance/744000132165723-global-hr-reporting-and-analytics-lead-hr-workday-reporting-", "externalId" : "744000132165723", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Delhi", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "28.6138954,77.2090057" } ], "locationText" : "Delhi, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Data strategy", "Business analysis", "Data governance", "Process improvement", "Team building", "Talent management", "Employee relations", "Organizational development" ], "hardSkillsList" : [ "Statistical techniques", "Data analysis", "HR analytics", "Data management", "Reporting" ], "softSkillsList" : [ "Leadership", "Negotiation", "Influencing" ], "hardSkills" : [ { "name" : "Statistical techniques", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "HR analytics", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Negotiation" }, { "name" : "Influencing" } ], "majorSkills" : "HR Reporting, Analytics, Workday, Data Strategy", "majorSkillsList" : [ "HR Reporting", "Analytics", "Workday", "Data Strategy" ], "coreResponsibilities" : "Lead People Data, Reporting and Analytics function, Lead data and reporting strategy for Global HR, Translate business requirements into analytical framework, Implement and automate business needs on Workday, Automate business needs on BI tool, Drive analytics maturity through continuous improvement, Improve data quality, Improve data management practices, Ensure compliance with Data Privacy Guidelines, Develop standard reports, Develop ad hoc reports, Develop templates, Develop dashboards, Develop scorecards, Develop metrics, Prepare reports for management, Assist in HR projects, Assist in process improvement initiatives, Drive data management approach, Drive data governance processes, Drive Analytics platform adoption, Partner with global HR colleagues, Understand HR needs, Understand business questions, Determine required analysis, Determine required deliverables, Maintain business relationships with stakeholders, Build relevant analysis, Build relevant interpretation, Build the function through hiring, Sustain high-performance team, Develop team capabilities, Set objectives for team, Define clear roles, Define clear responsibilities, Cultivate accountability environment, Embed firm's code of conduct, Embed firm's values, Ensure succession planning, Create culture of learning, Create culture of teamwork, Create culture of camaraderie, Create culture of mutual support", "teamCollaboration" : "Global functional leads; Regional HR leaders; HRBPs; Global HR Operations Lead; Global HR colleagues", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "People Strategy; HR processes; Talent Strategy; People Data; HR Reporting; HR Analytics; Data Privacy; Data Protection", "domainList" : [ "people-strategy", "hr-processes", "talent-strategy", "people-data", "hr-reporting", "hr-analytics", "data-privacy", "data-protection" ], "domainSpecificKnowledge" : [ "People Strategy", "HR processes", "Talent Strategy", "People Data", "HR Reporting", "HR Analytics", "Data Privacy", "Data Protection" ], "toolProficiency" : [ "Workday", "BI tool" ], "communicationSkills" : "Written communication; Verbal communication; Listening skills", "continuousLearning" : "Formal training; Informal coaching; Mentoring; Skills-based training; Technical training; On the job learning", "problemSolvingSkills" : "Analytical mindset; Creative streak; Good judgement; Prioritisation skills", "qualificationsBasic" : "5+ years HR reporting and analytics experience, Technical knowledge and business awareness", "qualificationsPreferred" : "Experience with Workday and BI tool", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Who we are As a global law firm our work spans jurisdictions, cultures, and languages – and so do our people. Our culture is collaborative and inclusive — where diverse perspectives are recognised and valued. Where performing to your highest ability, unlocks equal access to opportunities to learn, thrive and grow. We combine deep legal expertise and commercial intelligence to grow, transform, protect, and defend our clients' businesses, across every critical moment. We operate in the sectors and regions that matter to our clients. With forward-thinking insights and innovative, tech-enabled solutions that combine deep knowledge of their sectors and markets. You’ll build connections and work with colleagues as one global team. You’ll unlock opportunities for clients, across borders, cultures, legal and commercial disciplines. Join us to work with colleagues as one global team – empowering each other to be exceptional and create advantage for our clients. Our India team is a well-established and integral part of the firm’s global operations, delivering high-value support across a wide spectrum of functions. With over 800 business professionals based in Gurugram and Hyderabad, we’ve been driving operational excellence and innovation for more than 15 years. We contribute to global success in areas such as Information Technology, Finance, Human Resources, Risk & Compliance, Legal Support, Research & Knowledge, Document Production, Virtual Executive Assistance, Programme Management, Client & Market Development, and Continuous Improvement. The role Human Resources management develops and delivers the firm's People and Talent Strategy, designs and delivers the firm's people practices, designs employee and candidate experiences, and advises the firm's leadership on organisational and individual people matters. The HR Reporting and Analytics team provides the quantitative and qualitative data analysis and reporting of patterns, insights, and trends required to help leaders across organization make informed business decisions to build the workplace of the future. Who you will work with As HR Reporting and Analytics Lead, you will collaborate with global functional leads within HR, Regional HR leaders and HRBPs to lead the roadmap of the People Data, Reporting and Analytics function. This role utilizes various systems and data sources to deliver reports and dashboards. What you will be responsible for As HR Reporting and Analytics Lead, you will lead the People Data, Reporting and Analytics function of the organization. This is an important role requiring both technical knowledge and business awareness, providing stimulating opportunities to contribute to the People Strategy and key priorities. What you will do Strategic/Operational Responsibilities * In partnership with Global HR Operations Lead, take forward and lead the data and reporting strategy defined for Global HR. * Translate business requirements into sound and comprehensive analytical framework through appropriate usage of advanced statistical techniques. * Implement and automate business needs on Workday and BI tool for real time HR analytics. * Drive analytics maturity through continuous improvement in data quality data management practices, and standard tools and capabilities. * Ensure compliance with Data Privacy and Protection Guidelines. * Develop standard and ad hoc reports, templates, dashboards, scorecards, and metrics that drive insights focused on business issues and priorities. * Preparation of various Reports to support the Management needs and ensuring timely adherence to deadlines * Assist in various HR projects and continuous process improvement initiatives along with the Global HR Operations Lead. * Drive our data management and governance approach and processes. * Drive Analytics platform's adoption across the HR organisation * Partner with global HR colleagues to understand their needs and business questions to determine the required analysis and deliverables. * Maintain strong business relationships with key stakeholders to understand what is important to leadership and build relevant analysis and interpretation. People Leadership and Team Management Responsibilities * Build the function through hiring the required technical expertise and sustaining the high-performance team. * Develop capabilities of team members through objective setting, defining clear roles & responsibilities, and cultivating an environment of accountability * Embed the firm's code of conduct and values across the team * Ensuring appropriate succession/back-up planning of team members, to avoid breakage in service * Creating and fostering a culture of constant learning, teamwork, camaraderie, and mutual respect * Maintaining low attrition scores, and high employee and customer satisfaction ratings. ## Qualifications Your experience Desired Experience * Bachelor's/Master's degree or equivalent experience in MIS, Statistics, or similar field. * Experience in managing projects for diversified reporting systems. * Strong experience should be around Workday Reporting tools, Data architecture, Data Quality Management and Data visualisation. * Worked on BI/Analytics projects. * Knowledge of Workday Reporting, SQL, Power BI, Excel. * Good to have knowledge of programming, Python, Tableau and other analytical tools. * Knowledge of HR processes and HR technology applications and professional experience in HR or supporting HR analytics. * Excellent data management and analysis skills to assemble, clean and analyze data effectively. * Understand the process of data integration: including workforce data from central systems such as Workday and other HR applications including recruiting and talent technologies. * Eagerness to learn new things and understand the bigger picture. * Curiosity to better understand current processes and continual desire to improve on processes with ability to ask the right questions to improve quality of work. * Maintain a high degree of confidentiality, accuracy along with attention to detail. Communication and Presentation Skills * Excellent written and verbal communication skills, with strong listening skills. * Excellent negotiation and influencing skills. * Demonstrates credibility and influence with senior clients & stakeholders, to increase usage of services. Analytical and Strategic Thinking Skills * Analytical mindset, with a creative streak to identify and work with non-traditional approaches. * Good judgement and prioritisation skills. * Good knowledge of market trends and potential impact on the firm. Leadership, networking and organisational skills * Demonstrated ability of working in a matrixed environment and balance varying priorities. * Working closely with global stakeholders to shape and lead the department against strategic priorities. * Ability to organise support and to delegate effectively, as required. ## Additional Information How we will support you From your first day with us, you will have varied opportunities to continuously grow and development your skills and knowledge. From formal training, informal coaching and mentoring through to skills-based and technical training and on the job learning. Equal opportunities At Clifford Chance, we forge an inclusive culture, where diverse perspectives are recognised and valued. It’s a culture where everyone has equal access to opportunities to thrive and succeed. We are guided by our values-based Code, which sets high standards of conduct and has a principle focused on being inclusive. We comply with the law and regulations in every location where we operate and we are committed to delivering fair and equal access to all applicants and employees irrespective of background. This applies across all aspects of employment from recruitment and selection to development, progression, and day-to-day working life. Our global network of affinity, faith and support groups are open to all. These communities help to create an environment where everyone at the firm can feel they belong and can reach their full potential. Find out more about our inclusive culture [here](https://www.cliffordchance.com/about_us/inclusion-and-diversity.html).", "summaryDescription" : "Global HR Reporting and Analytics Lead (HR/Workday reporting) at Clifford Chance. Skills: HR Reporting, Analytics, Workday, Data Strategy. Lead People Data, Reporting and Analytics function. Lead data and reporting strategy for Global HR", "postedDate" : "2026-06-15T10:34:08.000", "createdAt" : "2026-06-16T00:17:38.008", "lastUpdated" : "2026-06-16T10:38:32.861", "ingestTimestamp" : "2026-06-16T00:17:38.008", "mongoId" : "6a305b96f292fd229cf5f079", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical techniques", "Data analysis", "HR analytics", "Data management", "Reporting", "Leadership", "Negotiation", "Influencing", "HR Reporting", "Analytics", "Workday", "Data Strategy", "Data strategy", "Business analysis", "Data governance", "Process improvement", "Team building", "Talent management", "Employee relations", "Organizational development", "Roadmap planning", "People Strategy", "HR processes", "Talent Strategy", "People Data", "HR Analytics", "Data Privacy", "Data Protection", "BI tool" ], "skillCount" : 29, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Legal", "llmIndustryConfidence" : 0.97 }, { "id" : "6a16291c58b93c861e95a40d", "title" : "Bridges and Structures Business Class Lead", "industry" : "Consulting", "salary" : { "min" : 185000.0, "max" : 275000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Bridges and Structures Business Class Lead in the United States, adjusted for industry and seniority." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "timestamp" : "2026-06-16T00:52:02.059", "fingerprint" : "a9b1cb0e114083b10f02e35ddd7f8e3bc49ad2ce378d3411a3f1b1f014e5cce9", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=742249", "externalId" : "742249", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 10, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "professionalSkills" : [ "Team management" ], "coreResponsibilities" : "Develop diverse teams, Manage diverse teams, Work cooperatively with leaders, Work cooperatively with managers, Work cooperatively with directors, Work cooperatively with marketing managers, Participate in employee-owned culture", "teamCollaboration" : "Business class efforts", "domainKnowledge" : "Bridges and Structures", "domainList" : [ "bridges-and-structures" ], "domainSpecificKnowledge" : [ "Bridges and Structures" ], "qualificationsBasic" : "Bachelor's degree in Professional, Architecture, Engineering or closely related field, 10 years of experience, Professional or engineering registration", "remoteFriendly" : false, "rawDescription" : "Required Qualifications Bachelor's degree in a Professional, Architecture, Engineering or closely related field 10 years of experience Committed to quality, improvement and HDR values Maintains a professional or engineering registration and has related technical experience Experienced in development and management of diverse teams Works cooperatively with other area business class leaders, operations managers, technical directors and marketing managers on business class efforts An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-South Dakota-Sioux Falls", "summaryDescription" : "Bridges and Structures Business Class Lead. Develop diverse teams. 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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. 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Assist in review and development of hardware, analysis, operation, hazard reviews, anomaly resolution, requirements verification, re-flight assessments, and flight acceptance testing with respect to structures and mechanisms. Coordinate to close technical and programmatic issues. Review and approve vehicle verification / certification tests, analysis, and their associated documentation.", "teamCollaboration" : "As a multidiscipline team, members are encouraged to have an overall background and working knowledge of all the areas within Structures and Mechanisms. Expertise is not required, but willingness to learn and coordinate across other disciplines is highly desired.", "projectManagementSkills" : [ "Subsystem Management support" ], "toolProficiency" : [ "PC, telephone, printer" ], "communicationSkills" : "formulate presentations; present to boards", "documentationSkills" : "documentation", "continuousLearning" : "Willingness to learn and coordinate across other disciplines is highly desired.", "innovationCreativity" : "We need you to bring creative ideas and diverse backgrounds to help us envision, shape, and deliver systems that will enable the exploration of space while benefiting people here on Earth.", "problemSolvingSkills" : "anomaly resolution; system design", "specialRequirements" : "Proof of U. S. Citizenship or US Permanent Residency may be a requirement for this position. Must be able to complete a U. S. government background investigation.", "outcomesObjectives" : "Achieve great things that inspire people all over the globe. Envision, shape, and deliver systems that will enable the exploration of space while benefiting people here on Earth.", "qualificationsBasic" : "Bachelor’s degree in Engineering and a minimum of 2-5 years of experience in the field or in a related area. Bachelor of Science in Mechanical or Aerospace Engineering. Familiarity with NASA Standards for Structures and Mechanisms. Previous NASA flight hardware experience.", "qualificationsPreferred" : "Self-Starter with a willingness to learn. Some background in Structures, Mechanisms, and Loads and Dynamics.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about human space exploration, understanding the origins of the universe, and working with a passionate and diverse team to make a difference? If you are, we need you! We need your talent, teamwork, and energy to help us achieve great things that inspire people all over the globe. We need you to bring creative ideas and diverse backgrounds to help us envision, shape, and deliver systems that will enable the exploration of space while benefiting people here on Earth. We are excited about what we do, and we need you on our team as we take on exciting challenges for NASA’s pursuits in deep space exploration. As NASA’s largest engineering solutions provider working together with NASA at centers across the United States. We have an exciting opportunity for a Structures and Mechanisms Engineer, ISS Sustaining to join the team with Barrios, a teammate company. The ISS Structures and Mechanisms team spans several branches within the Structural Engineering Division at NASA/JSC. Members support Structures and Fracture, Mechanisms, Loads and Dynamic, and Pressure Systems The Structures and Mechanisms Engineer, ISS Sustaining will: Provide Subsystem Management support for needed for ISS sustaining. Assist in review and development of hardware, analysis, operation, hazard reviews, anomaly resolution, requirements verification, re-flight assessments, and flight acceptance testing with respect to structures and mechanisms to name a few. Coordinate to close technical and programmatic issues. Review and approve vehicle verification / certification tests, analysis, and their associated documentation. As a multidiscipline team, members are encouraged to have an overall background and working knowledge of all the areas within Structures and Mechanisms. Expertise is not required, but willingness to learn and coordinate across other disciplines is highly desired. ISS continues to support cargo and crew vehicles visiting to the ISS . Ideally the candidate will be outgoing and a self-starter. As time allows other duties will include USDV development and other ISS visiting vehicles. Candidate should be able to formulate presentations and present to boards as appropriate. Requisition Qualifications: This position has been posted at multiple levels. Depending on the candidate's experience, requirements, and business needs, we reserve the right to consider candidates at any level for which this position has been advertised. Typically requires a bachelor’s degree in Engineering and a minimum of 2-5 years of experience in the field or in a related area. Bachelor of Science in Mechanical or Aerospace Engineering Familiarity with NASA Standards for Structures and Mechanisms Previous NASA flight hardware experience Requisition Preferences: Self-Starter with a willingness to learn Some background in Structures, Mechanisms, and Loads and Dynamics. Why Join Our Team? In addition to exciting career opportunities, we also have: Excellent personal and professional career growth 9/80 work schedule (every other Friday off), when applicable Onsite cafeteria (breakfast & lunch) Much, much more! For more information on our partnership with NASA at Johnson Space Center (JSC), please visit www.wehavespaceforyou.com Proof of U.S. Citizenship or US Permanent Residency may be a requirement for this position. Must be able to complete a U.S. government background investigation. Management has the prerogative to select at any level for which the position is advertised. Essential Functions Work Environment Generally, an office environment, but can involve inside or outside work depending on task. Physical Requirements Work may involve sitting or standing for extended periods (90% of time). May require lifting and carrying up to 25 lbs. (5% of time). Equipment and Machines Standard office equipment (PC, telephone, printer, etc.). Attendance Regular attendance in accordance with established work schedule is critical. Ability to work outside normal schedule and adjust schedule to meet peak periods and surge requirements. Other Essential Functions Professional behavior that enhances productivity and promotes teamwork and cooperation. Grooming and dress must be appropriate for the position and must not impose a safety risk/hazard to the employee or others. #JETS #JETSII United States-Texas-Houston-20331-ESCG", "summaryDescription" : "Structures and Mechanisms Engineer, ISS Sustaining at Barrios. Skills: Structures, Mechanisms, ISS sustaining, hardware analysis, flight hardware experience. Provide Subsystem Management support for ISS sustaining. Assist in review and development of hardware, analysis, operation, hazard reviews, anomaly resolution, requirements verification, re-flight assessments, and flight acceptance testing with respect to structures and mechanisms. Coordinate to close technical and programmatic issues. 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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" : "6a25145a74d8ee00a00bb4fb", "title" : "Data Engineering Manager, Planning and Audience Insights", "company" : "Amazon.com Services LLC", "industry" : "Data Science, Data Engineering, entertainment", "salary" : { "min" : 170000.0, "max" : 230000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Culver City, California, USA", "locations" : [ "Culver City, California, USA" ], "timestamp" : "2026-06-15T03:17:28.355", "fingerprint" : "6aa3c856387fafb46a2f01fc537040ea31717e821969bb55d633e4a39d7571e4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10441155/apply", "externalId" : "ca490d26-9b5c-4f9c-ac4c-e2946741f12c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Culver City", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0211224,-118.3964660" } ], "locationText" : "Culver City, California, United States", "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" : "6a2c94e874d8ee00a098bdf5", "title" : "Financial Performance and Analysis", "company" : "Getnet", "industry" : "FinTech", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Financial Performance and Analysis role in Madrid, Spain, adjusted for the FinTech industry." }, "location" : "Madrid, Madrid, Spain", "locations" : [ "Madrid", "Madrid", "Spain" ], "timestamp" : "2026-06-15T09:26:43.034", "fingerprint" : "d7381340f9999217e17b528557279df139e22bc370b91841aa7b793c17934513", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/getnet/jobs/4751604101", "externalId" : "4751604101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "state" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "40.4237276,-3.6899043" } ], "locationText" : "Madrid, Madrid, Spain", "minimumEducation" : "Bachelor's", "softSkillsList" : [ "Clear communication", "Analytical mindset" ], "softSkills" : [ { "name" : "Clear communication" }, { "name" : "Analytical mindset" } ], "teamCollaboration" : "FP&A teams; Finance & Accounting teams; Finance Tech teams; Regional teams", "domainKnowledge" : "Payment solutions; Fintech; Acquiring hub", "domainList" : [ "payment-solutions", "fintech", "acquiring-hub" ], "domainSpecificKnowledge" : [ "Payment solutions", "Fintech", "Acquiring hub" ], "communicationSkills" : "Clear communication", "continuousLearning" : "Self-development programmes", "problemSolvingSkills" : "Identify data inconsistencies; Identify structural effects; Identify model-related issues", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "✨ Your talent drives our future Getnet is a global technology company specializing in payment solutions for commerce. Founded in Brazil and operating across Latin America and the Iberian Peninsula, we support over 1.3 million merchants with end-to-end services — from POS terminals to e-commerce platforms. We are part of PagoNxt, the global fintech of the Santander Group, and operate as an acquiring hub with a strong presence in Spain, Portugal, Brazil, Mexico, Chile, Argentina, and Uruguay. Our mission is clear: to simplify payments with innovation, security, and scale, helping businesses of all sizes grow with agility. We offer a unified platform that integrates hardware, software, fraud prevention, acquiring, reconciliation, and financial services — all in a single ecosystem, so our clients can focus on growing their business. Being part of Getnet means joining a company that combines the innovation of a fintech with the solidity of a global bank. Imagine your future. Care for your career. Simplify your journey. This means you'll have the chance to build impactful solutions, grow with real development opportunities, and thrive in a culture that values well-being, inclusion, and clarity. We combine flexibility, autonomy, and global collaboration — so you can focus on what matters, connect with purpose, and help shape the future. Here, you'll find space to grow, real opportunities to lead, and a culture where everyone belongs and contributes. ✨ If you want to be part of the next generation of financial solutions, this is the place. At Getnet, we are looking for a Financial Performance and Analysis to join our team in Madrid. \uD83D\uDCCCWhat you'll do Financial Model Architecture: maintain and evolve the financial model structure and driver logic used for performance analysis, forecasting and planning. Data Integrity & Consistency: ensure consistency and reliability of data across actuals, forecast and planning cycles through validation and reconciliation. Assumptions & Calculations Validation: review and validate assumptions, calculations and model behaviour to ensure financial coherence. Regional Coordination & Consolidation: coordinate and consolidate financial inputs from countries and regions, applying and explaining consolidation rules. Performance: contribute to financial performance activities by clarifying model-related drivers and structural effects behind deviations. Forecast & Planning: work closely with planning to reflect planning assumptions and scenarios accurately within the financial model. Process & Tool Improvement: collaborate with Finance Tech to improve data quality, automation and robustness across FP&A processes. What we are looking for Experience Strong track record in FP&A, financial modelling, controlling or planning roles. Exposure to actuals, forecast and planning cycles. Experience using planning tools (Oracle EPM or similar) is a plus Experience working with financial data from multiple countries or business units. Education, knowledge and skills Bachelor’s degree in Finance, Economics, Business Administration, Engineering or a related field. A Master’s degree in Finance, Corporate Finance, Business Analytics or similar is a plus. Knowledge of Power BI, Power Query, SQL, Oracle, Databricks or similar tools is an advantage. Solid financial modelling skills and understanding of P&L structure and key drivers. Strong skills and ability to work with structured financial data. Understanding of forecasting logic, assumptions and sensitivities. Ability to identify data inconsistencies, structural effects and model-related issues. Clear communication skills and ability to work with FP&A, Finance & Accounting, Finance Tech and regional teams. Proactive attitude, attention to detail and analytical mindset. \uD83C\uDFAF What we offer \uD83E\uDE7A Medical insurance \uD83D\uDCAA Wellhub \uD83D\uDE91 Life insurance \uD83D\uDC89 Annual healthcare \uD83D\uDE8C Transportation allowance \uD83C\uDF55 Meal voucher/food voucher \uD83D\uDCDA Access to self-development programmes \uD83C\uDFE2 Hybrid Collaborative environment: Successful candidate must be prepared to work 60% on site \uD83D\uDCEC Next step Apply and if you know someone who might be looking for this opportunity, share it.", "summaryDescription" : "Financial Performance and Analysis at Getnet", "postedDate" : "2026-06-14T04:54:16.069", "createdAt" : "2026-06-14T04:54:16.069", "lastUpdated" : "2026-06-15T09:26:43.034", "ingestTimestamp" : "2026-06-14T04:54:16.069", "mongoId" : "6a2c94e874d8ee00a098bdf5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Clear communication", "Analytical mindset", "Payment solutions", "Fintech", "Acquiring hub" ], "skillCount" : 5, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "694ae6e870f0b99d589b3a89", "title" : "Director of Reporting and Analytics", "company" : "SMU", "salary" : { "min" : 155000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for Director of Reporting and Analytics in Dallas, adjusted for the education industry and director-level seniority." }, "location" : "TX-Dallas", "locations" : [ "TX-Dallas" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T21:42:44.801", "fingerprint" : "209768f93e678f82182d88ec91775d47dd48120fefeed7ad940e7f97a11e7c00", "source" : "taleo", "language" : "en", "applyUrl" : "https://smu.taleo.net/careersection/ex/jobdetail.ftl?job=74552", "externalId" : "74552", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data manipulation", "Data visualization", "Statistical modeling", "Machine learning modeling", "ETL processes", "Data warehousing", "Database management", "Cloud computing" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning modeling", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" } ], "majorSkills" : "Data Analytics, Business Intelligence, Machine Learning, Data Engineering", "majorSkillsList" : [ "Data Analytics", "Business Intelligence", "Machine Learning", "Data Engineering" ], "coreResponsibilities" : "Develop and maintain reporting dashboards, Analyze complex datasets, Build predictive models, Collaborate with stakeholders, Ensure data quality, Optimize data pipelines, Present findings to leadership, Stay current with industry trends", "teamCollaboration" : "Cross-functional teams; Business stakeholders; Technical teams", "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" : [ "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "communicationSkills" : "Stakeholder communication; Presentation skills", "documentationSkills" : "Technical documentation", "continuousLearning" : "Professional development", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "Bachelor's degree in a quantitative field, 5+ years of experience in data analytics or related field, Proficiency in SQL, Experience with data visualization tools", "qualificationsPreferred" : "Master's degree or PhD in a quantitative field, Experience with cloud data platforms (e.g., Snowflake, BigQuery, Redshift), Experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch), Experience with data engineering tools (e.g., dbt, Airflow), Relevant certifications (e.g., GCP Professional Data Engineer, AWS Data Analytics)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Salary Range: Salary commensurate with experience and qualifications About SMU SMU’s more than 12,000 diverse, high-achieving students come from all 50 states and over 80 countries to take advantage of the University’s small classes, meaningful research opportunities, leadership development, community service, international study and innovative programs. SMU serves approximately 7,000 undergraduates and 5,000 graduate students through eight degree-granting schools: Dedman College of Humanities and Sciences , Cox School of Business , Lyle School of Engineering , Meadows School of the Arts , Simmons School of Education and Human Development , Dedman School of Law , Perkins School of Theology and Moody School of Graduate and Advanced Studies . SMU is data driven, and its powerful supercomputing ecosystem – paired with entrepreneurial drive – creates an unrivaled environment for the University to deliver research excellence. Now in its second century of achievement, SMU is recognized for the ways it supports students, faculty and alumni as they become ethical, enterprising leaders in their professions and communities. SMU’s relationship with Dallas – the dynamic center of one of the nation’s fastest-growing regions – offers unique learning, research, social and career opportunities that provide a launch pad for global impact. SMU is nonsectarian in its teaching and committed to academic freedom and open inquiry. About the Department: Development and External Affairs (DEA) supports SMU by securing funding for University priorities; by promoting meaningful involvement in the life and work of the University; by heightening international, national, state and local awareness of SMU; and by supporting the enrollment of a diverse and able student body. DEA comprises the offices of Office of the Vice President, Annual Giving and Alumni Relations, Development Services, Program Services and Donor Relations, Marketing and Communications, Principal and Major Gifts, and School and Project Development. SMU continues to leverage the benefits from the largest fund-raising campaign in its history to achieve dramatic increases in academic quality and impact. About the Position: This role is an on-campus, in-person position. The Director of Reporting and Analytics leads the strategic vision and execution of the reporting and analytics functions in concert with the Vice President of Development Services, directly supporting the objectives of the Development and External Affairs (DEA) division. The Director manages a team of professionals to develop, convert, and maintain the essential reporting suite while ensuring data integrity, consistency, and optimal architecture. By serving as a thought partner for stakeholders, the Director is critical in translating business goals into actionable insights and robust data services, ultimately maximizing the return on investment in data tools and empowering data-driven decision-making across DEA and SMU. Essential Functions: Leads, mentors, and develops the team of three analytics professionals. This involves setting clear performance expectations, prioritizing and assigning workloads, and fostering a collaborative environment. This leader's guidance is key to guiding the team through the CRM conversion and empowering them to become experts in the new toolset. Owns the technical vision and strategic roadmap for the reporting team. This includes evaluating and guiding the use of the entire reporting suite (Salesforce, CRMA, Tableau, and Apsona) to ensure SMU is maximizing its investment. Creates and enforces standards, processes, and structured governance for query tools like Workbench to ensure consistency and accuracy. Serves as the primary analytics partner and consultant for key stakeholders for Development and External Affairs (DEA) and campus partners. Proactively meets with partners to understand their business goals, translating those goals into technical specifications, and managing the intake process for all new data, report and dashboard requests. Leads the creation of SMU's essential reports during and following the Salesforce conversion. Manages the entire development lifecycle from scoping and design to build, testing, and deployment ensuring that new data requests and reports are accurate, efficient, and provide enhanced insights. Ensures colleagues understand business decisions and logic behind reporting models. Oversees the team's operational output, ensuring the timely and accurate fulfillment of ad-hoc data requests, such as mailing lists and metrics. A critical component of this function is designing, implementing, and enforcing a robust quality assurance (QA) process for all data outputs to guarantee data integrity and build stakeholder trust. Partners closely with the Advancement Applications and Technology Services team to inform and advise on the advancement data architecture, especially within Salesforce. This includes providing an analytics perspective on data flows, object relationships, and the impact of integrations with other third-party solutions to ensure data is structured for optimal reporting and analysis. Other duties as assigned. Occasional travel for professional conferences, speaking engagements, and/or site visits is required. Education and Experience: Bachelor’s degree is required. A Master's degree is preferred. Process improvement and project management certifications are preferred. A minimum of seven years of work experience is required. Experience managing multiple direct reports in a fast-paced, deadline oriented environment is also required. Experience in nonprofit development is desired. Higher education development experience is strongly preferred. Knowledge, Skills and Abilities: Candidate must demonstrate strong interpersonal and verbal communication skills, with the ability to communicate broadly across the University and develop and maintain effective relationships with a wide range of constituencies. Must also demonstrate strong written communication skills. Candidate must possess strong problem-solving skills with the ability to identify and analyze problems, as well as devise solutions. Must also have strong organizational, planning, and time management skills. Candidate must have strong public speaking and presentation skills necessary to drive adoption of data-driven practices and deliver actionable insights from analytics projects. Candidate must demonstrate knowledge of data governance standards and relevant regulation, particularly in regard to personally identifiable information (PII). Candidate must have substantial experience in the management of large scale non-profit CRM software, data analysis tools, and automated business intelligence tools. Physical and Environmental Demands: Sit for long periods of time Deadline to Apply: The position is open until filled. Priority consideration may be given to submissions received by January 9, 2026 EEO Statement SMU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran status, sexual orientation, or gender identity and expression. Benefits: SMU offers staff a broad, competitive array of health and related benefit s. In addition to traditional benefits such as health, dental, and vision plans, SMU offers a wide range of wellness programs to help attract, support, and retain our employees whose work continues to make SMU an outstanding education and research institution. SMU is committed to providing an array of retirement programs that benefit and protect you and your family throughout your working years at SMU and, if you meet SMU's retirement eligibility criteria, during your retirement years after you leave SMU. The value of learning at SMU isn't just about preparing our students for the future. Employees have access to a wide variety of professional and personal development opportunities , including tuition benefits . USA-TX-Dallas", "summaryDescription" : "Director of Reporting and Analytics at SMU. Skills: Data Analytics, Business Intelligence, Machine Learning, Data Engineering. Develop and maintain reporting dashboards. 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Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-Tennessee-Nashville", "summaryDescription" : "Senior Transportation Project Manager - Bridges and Structures at HDR. Manage projects. 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Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. 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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" : "6a305bf4f292fd229cf6044a", "title" : "Construction Oversight Manager, Civil, Earthwork and Structures-2605260JC02", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Construction in Chicago, adjusted for seniority and industry." }, "location" : "Chicago, IL", "locations" : [ "Chicago, IL" ], "timestamp" : "2026-06-16T10:42:31.680", "fingerprint" : "54996c788ec9a8f8d3a344a35cf24eae2406dcf5d8b75b352fb069e8459773fe", "source" : "jazzhr", "language" : "en", "externalId" : "CUpXubBWbr", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" } ], "locationText" : "Chicago, Illinois, United States", "experienceLevel" : "Manager", "majorSkills" : "Civil engineering, Earthwork, Structures", "majorSkillsList" : [ "Civil engineering", "Earthwork", "Structures" ], "coreResponsibilities" : "Oversee construction projects, Manage civil work, Manage earthwork, Manage structures", "domainKnowledge" : "Civil engineering; Earthwork; Structures", "domainList" : [ "civil-engineering", "earthwork", "structures" ], "domainSpecificKnowledge" : [ "Civil engineering", "Earthwork", "Structures" ], "qualificationsBasic" : "Civil engineering experience, Earthwork experience, Structures experience", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "summaryDescription" : "Construction Oversight Manager, Civil, Earthwork and Structures-2605260JC02. Skills: Civil engineering, Earthwork, Structures. Oversee construction projects. 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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", "SQL", "Python", "R", "SAS" ], "skillCount" : 31, "jobCategory" : "marketing", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "6a16291c58b93c861e959f99", "title" : "Structures Section Manager", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Engineering Structures Section Manager in Columbus, USA, adjusted for manager seniority and full-time employment." }, "location" : "United States-Ohio-Columbus", "locations" : [ "United States-Ohio-Columbus" ], "timestamp" : "2026-06-16T02:00:48.500", "fingerprint" : "5d1c1e588c566bf7347bf307287c5c0e515e69d73fe40e30e7485579f9eccbf5", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=781740", "externalId" : "781740", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Columbus", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.9622601,-83.0007065" } ], "locationText" : "Columbus, Ohio, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 7, "experienceLevel" : "Manager", "softSkillsList" : [ "Leadership", "Organizational skills" ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Organizational skills" } ], "communicationSkills" : "Communication skills; Listening skills", "specialRequirements" : "Active participant of our employee-owned culture", "qualificationsBasic" : "Bachelor's degree or equivalent experience, 7 years experience, Professional registration, license or certification may be required", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Required Qualifications Bachelor's degree or equivalent experience A minimum of 7 years experience Professional registration, license or certification may be required based on role Strong communication and listening skills Ability to handle multiple assignments Good leadership and organizational skills An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-Ohio-Columbus", "summaryDescription" : "Structures Section Manager", "createdAt" : "2026-06-14T19:50:14.045", "lastUpdated" : "2026-06-16T02:00:48.500", "ingestTimestamp" : "2026-06-14T19:50:14.045", "mongoId" : "6a16291c58b93c861e959f99", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Leadership", "Organizational skills" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.92 }, { "id" : "6a15e46d58b93c861e7c6f0b", "title" : "Aircraft Mechanic - Structures", "company" : "Embraer", "industry" : "Manufacturing", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Aircraft Mechanic - Structures in Nashville, United States, adjusted for mid-seniority and manufacturing industry." }, "location" : "Nashville, TN", "locations" : [ "Nashville", "TN" ], "certifications" : [ "FAA" ], "timestamp" : "2026-06-16T01:00:14.565", "fingerprint" : "d5b397fce9d9beca8cdd1b80117530aabdc9f8fbb146421c68f6458938906391", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://embraer.breezy.hr/p/e5b8235fb8d0-aircraft-mechanic-structures", "externalId" : "e5b8235fb8d0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Nashville", "state" : "Tennessee", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.1622767,-86.7742984" } ], "locationText" : "Nashville, Tennessee, United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Inspect structural components, Repair structural components, Maintain structural components, Ensure safety, Ensure airworthiness, Carry out sheet metal activities", "domainKnowledge" : "Aircraft structures", "domainList" : [ "aircraft-structures" ], "domainSpecificKnowledge" : [ "Aircraft structures" ], "qualificationsBasic" : "FAA repair pr", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Position Summary An aircraft mechanic with a structures background is responsible for inspecting, repairing, and maintaining the structural components of aircraft to ensure safety and airworthiness. Ensures that all sheet metal activities are carried out in compliance with company and FAA repair pr", "summaryDescription" : "Aircraft Mechanic - Structures at Embraer. Inspect structural components. Repair structural components", "createdAt" : "2026-06-14T18:40:57.142", "lastUpdated" : "2026-06-16T01:00:14.565", "ingestTimestamp" : "2026-06-14T18:40:57.142", "mongoId" : "6a15e46d58b93c861e7c6f0b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Aircraft structures", "FAA" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2c7ef674d8ee00a0954324", "title" : "Head of Accounting and Reporting", "company" : "Fourthline", "industry" : "FinTech", "salary" : { "min" : 140000.0, "max" : 200000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Accounting and Reporting in Amsterdam, Netherlands, adjusted for the FinTech industry and executive seniority." }, "location" : "Amsterdam, North Holland, Netherlands", "locations" : [ "Amsterdam", "North Holland", "Netherlands" ], "certifications" : [ "CPA", "CA", "ACA" ], "timestamp" : "2026-06-15T11:34:19.800", "fingerprint" : "77e1414fa9db1971001fc5d76771d00894699f2bbb3182d04b206384e7cfc118", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/fourthline/jobs/4881205101", "externalId" : "4881205101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "employmentType" : "FULL_TIME", "experienceMinYears" : 12, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "professionalSkills" : [ "Financial reporting", "Taxation", "Treasury operations", "Cash management", "Financial close processes", "Liquidity management", "Financial planning", "Process standardization", "Process automation", "Process scalability" ], "hardSkillsList" : [ "Accounting", "Tax", "Treasury", "Financial controls", "Cash flow forecasting" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Accounting", "level" : "intermediate" }, { "name" : "Tax", "level" : "intermediate" }, { "name" : "Treasury", "level" : "intermediate" }, { "name" : "Financial controls", "level" : "intermediate" }, { "name" : "Cash flow forecasting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Accounting, Tax, Treasury, Financial controls", "majorSkillsList" : [ "Accounting", "Tax", "Treasury", "Financial controls" ], "coreResponsibilities" : "Lead accounting activities, Lead tax activities, Lead treasury activities, Lead cash management activities, Oversee monthly financial close, Oversee quarterly financial close, Oversee annual financial close, Ensure timely reporting, Ensure accurate reporting, Ensure compliance with local statutory requirements, Ensure compliance with tax requirements, Ensure compliance with audit requirements, Ensure compliance with regulatory requirements, Manage treasury operations, Manage cash flow forecasting, Manage liquidity management, Manage banking relationships, Strengthen internal controls, Strengthen governance frameworks, Strengthen finance policies, Partner with senior leadership, Coordinate external auditors, Manage external auditors, Coordinate tax advisors, Manage tax advisors, Coordinate banks, Manage banks, Coordinate regulatory authorities, Manage regulatory authorities, Drive process standardization, Drive process automation, Drive process scalability, Build finance teams, Mentor finance teams, Lead finance teams", "teamCollaboration" : "Partner with senior leadership; Work across cultures; Work across regions", "domainKnowledge" : "International financial reporting; International tax; International compliance; Financial crime", "domainList" : [ "international-financial-reporting", "international-tax", "international-compliance", "financial-crime" ], "domainSpecificKnowledge" : [ "International financial reporting", "International tax", "International compliance", "Financial crime" ], "problemSolvingSkills" : "Problem-solving skills", "qualificationsBasic" : "12+ years finance leadership experience, Experience managing finance operations across multiple geographies, Experience managing finance operations across multiple legal entities, Deep understanding of international financial reporting, Deep understanding of international tax requirements, Deep understanding of international compliance requirements, Proven ability to operate effectively in complex organizations, Analytical skills, Operational skills, Problem-solving skills, Excellent leadership capabilities, Excellent stakeholder management capabilities, Written English, Spoken English", "qualificationsPreferred" : "CPA qualification preferred, CA qualification preferred, ACA qualification preferred, Equivalent qualification preferred, Experience in high-growth businesses, Experience in multinational businesses, Experience in private equity-backed businesses", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "At Fourthline, our mission is to fight financial crime. We help protect the global financial system by verifying millions of identities for banks, neobanks, online brokers, crypto exchanges, and insurers like N26, Trade Republic, flatexDEGIRO, Nationale Nederlanden, Qonto, Shine, Solarisbank, and more. Having started our journey in January 2018, we're incredibly proud to count around 250 employees between our Amsterdam and Barcelona offices with over 50 nationalities. We are looking for an experienced finance leader to oversee and strengthen our Accounting, Tax, and Treasury functions. This role will play a critical part in ensuring strong financial operations, effective controls, compliance, and scalable processes to support the company’s continued growth. The ideal candidate is both strategic and hands-on, with deep technical expertise and experience managing complex international finance operations in a fast-paced environment. Key Responsibilities Lead all accounting, tax, treasury, and cash management activities across multiple international entities and jurisdictions Oversee monthly, quarterly, and annual financial close processes, ensuring timely and accurate reporting across global operations Ensure compliance with local statutory, tax, audit, and regulatory requirements across multiple countries Manage treasury operations including cash flow forecasting, liquidity management, banking relationships Strengthen internal controls, governance frameworks, and finance policies across regions Partner with senior leadership on financial planning, operational initiatives, and business performance Coordinate and manage relationships with external auditors, tax advisors, banks, and regulatory authorities globally Drive process standardization, automation, and scalability across international finance operations Build, mentor, and lead high-performing regional finance teams Qualifications 12+ years of progressive finance leadership experience Strong expertise across accounting, tax, treasury, and financial controls in multinational environments Experience managing finance operations across multiple geographies and legal entities Deep understanding of international financial reporting, tax, and compliance requirements Proven ability to operate effectively in complex, fast-moving organizations Strong analytical, operational, and problem-solving skills Excellent leadership and stakeholder management capabilities CPA, CA, ACA, or equivalent qualification preferred Experience in high-growth, multinational, or private equity-backed businesses is a plus What We’re Looking For A pragmatic and execution-oriented finance leader Strong commercial judgment combined with operational rigor Ability to balance strategic thinking with hands-on execution Someone who can build structure, improve processes, and drive accountability globally Collaborative leadership style with the ability to work effectively across cultures and regions Strong written and spoken English This is a hybrid role with three days in our Amsterdam office. At Fourthline, we believe diversity enriches our culture and inspires you to do your best work. We value your unique talents and perspectives, welcoming them into a safe and inclusive working environment, to ultimately deliver the best products to our customers and society. You're welcome here. Fourthline is for everyone. Our hiring process is designed to be equal, fair, and transparent. We welcome people from all backgrounds, ethnicities, genders, sexual orientations, ages, abilities, religions, and experiences in life. If you're excited about this role, but your experience does not align perfectly with every qualification in the job description, we encourage you to apply anyways. You may just be the right candidate for this or other roles.", "summaryDescription" : "Head of Accounting and Reporting at Fourthline. Skills: Accounting, Tax, Treasury, Financial controls. Lead accounting activities. Lead tax activities", "postedDate" : "2026-06-14T04:03:04.087", "createdAt" : "2026-06-14T04:03:04.087", "lastUpdated" : "2026-06-15T11:34:19.800", "ingestTimestamp" : "2026-06-14T04:03:04.087", "mongoId" : "6a2c7ef674d8ee00a0954324", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Accounting", "Tax", "Treasury", "Financial controls", "Cash flow forecasting", "Leadership", "Mentoring", "Financial reporting", "Taxation", "Treasury operations", "Cash management", "Financial close processes", "Liquidity management", "Financial planning", "Process standardization", "Process automation", "Process scalability", "International financial reporting", "International tax", "International compliance", "Financial crime", "CPA", "CA", "ACA" ], "skillCount" : 24, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307f8af292fd229c05a7f3", "title" : "Strategy and Insights Manager, Large Customer Sales", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Singapore, adjusted for the Strategy and Insights Manager role in Large Customer Sales." }, "location" : "[Singapore, [Singapore], null, null, null, SG]", "locations" : [ "[Singapore, [Singapore], null, null, null, SG]", "[Jakarta, Indonesia, [Jakarta, Indonesia], Jakarta, null, Jakarta, ID]" ], "timestamp" : "2026-06-16T12:48:19.544", "fingerprint" : "fb3708c7bbeae3f28c2f462c1071d95fa82976f18f5081e0ed6c457d31ce7ae9", "source" : "google", "language" : "en", "externalId" : "121219640893285062", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "experienceLevel" : "Manager", "remoteFriendly" : false, "summaryDescription" : "Strategy and Insights Manager, Large Customer Sales", "postedDate" : "2026-06-16T01:49:20.394", "createdAt" : "2026-06-16T01:49:20.394", "lastUpdated" : "2026-06-16T12:48:19.544", "ingestTimestamp" : "2026-06-16T01:49:20.394", "mongoId" : "6a307f8af292fd229c05a7f3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Manager", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.9 }, { "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. Build and maintain APJ-specific data models and pipelines", "postedDate" : "2026-06-13T09:12:16.971", "createdAt" : "2026-06-13T09:12:16.971", "lastUpdated" : "2026-06-15T03:12:27.872", "ingestTimestamp" : "2026-06-13T09:12:16.971", "mongoId" : "6a2176b974d8ee00a0c1aae8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10439385/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data transformation", "Data pipelines", "Cloud computing", "ETL processes", "Data ingestion", "Data quality validation", "Data engineering", "Data analytics", "Data infrastructure", "Business intelligence", "Regional strategy", "Data models", "Analytical platforms", "Data quality", "Data governance", "Sales operations", "Finance", "Business logic", "Analytical requirements", "Information security", "SQL", "AWS", "Terraform", "CloudFormation", "CDK", "Apache Spark", "AWS Glue" ], "skillCount" : 27, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "68c2e43bf8b1b0376634c92a", "title" : "Business Intelligence Engineer, P2 Science, Data, and Insights", "company" : "Amazon Development Centre Canada ULC", "industry" : "Business Intelligence, Business Intel Engineer, north america stores", "salary" : { "min" : 76400.0, "max" : 127600.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, CAN", "locations" : [ "Vancouver, British Columbia, CAN" ], "timestamp" : "2026-06-15T01:05:27.815", "fingerprint" : "3a1dff98e3fb79510c323d58b42de9415775c735f6b151a142ee0971a1f86454", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3071381/apply", "externalId" : "67764e7e-19dd-455a-93dc-f5db067e6670", "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", "minimumEducation" : "Bachelor's", "technicalSkills" : "Redshift, Oracle, NoSQL, Tableau, Quicksight, R, SAS, Matlab, Python, AWS, EC2, DynamoDB, S3", "professionalSkills" : [ "Business intelligence", "Pricing strategy", "Promotions strategy", "Data modeling", "ETL pipelines", "Anomaly detection", "Business strategy", "Data visualization", "Data infrastructure", "Data quality" ], "hardSkillsList" : [ "Data analysis", "Data visualization", "Data modeling", "ETL", "Statistical analysis", "SQL", "Python scripting" ], "softSkillsList" : [ "Curiosity", "Customer obsession", "Entrepreneurial spirit" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "ETL", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" }, { "name" : "Python scripting", "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 analytical metrics and models, Present insights and recommendations, Harness LLMs for insights, Lead data-driven discussions, Pioneer new methodologies, Design automated reporting systems, Create intuitive dashboards, Innovate and simplify tools, Enhance back-end data sources, Implement data quality practices, Architect scalable data solutions, Craft narratives from data, Develop effective metrics, Collaborate across teams, Champion innovation culture, Stay at forefront of BI trends, Mentor colleagues", "teamCollaboration" : "Product teams; 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" : "6a2c95aa74d8ee00a098daa5", "title" : "Data Analyst III - Regulatory Reporting", "company" : "Fanatics Betting & Gaming", "industry" : "Retail", "salary" : { "min" : 87400.0, "max" : 129000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Jacksonville, Florida, United States", "locations" : [ "Jacksonville", "Florida", "United States" ], "timestamp" : "2026-06-15T11:48:34.002", "fingerprint" : "163417a6b37044f70f6d274f0f149d5b1192a4ce8b3f6d7f2f1ac5c86b96f78a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fanaticsfbg/jobs/4218112009", "externalId" : "4218112009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Jacksonville", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.3262247,-81.6579179" } ], "locationText" : "Jacksonville, Florida, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, DBT, Snowflake, Python, Tableau, Sigma, Power BI, Looker", "professionalSkills" : [ "Data modeling", "Report creation", "Data transformation", "Data validation", "Process improvement", "Metadata management", "Lineage documentation", "Reporting specifications" ], "hardSkillsList" : [ "Regulatory reporting", "SQL optimization", "Data reconciliation", "Root cause analysis", "Process streamlining", "Data governance", "Metadata management", "Lineage documentation" ], "hardSkills" : [ { "name" : "Regulatory reporting", "level" : "intermediate" }, { "name" : "SQL optimization", "level" : "intermediate" }, { "name" : "Data reconciliation", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Process streamlining", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Metadata management", "level" : "intermediate" }, { "name" : "Lineage documentation", "level" : "intermediate" } ], "majorSkills" : "Regulatory reporting, Data modeling, SQL, DBT", "majorSkillsList" : [ "Regulatory reporting", "Data modeling", "SQL", "DBT" ], "coreResponsibilities" : "Design DBT models, Build DBT models, Maintain DBT models, Power regulatory reports, Power operational reports, Generate reports, Maintain reports, Support regulatory submissions, Support tax filings, Support internal audits, Conduct data validation, Conduct data reconciliation, Conduct quality control checks, Ensure reporting integrity, Ensure reporting consistency, Investigate reporting variances, Resolve reporting variances, Identify root causes, Implement fixes, Maintain KPI accuracy, Develop processes, Improve processes, Streamline data extraction, Streamline data transformation, Streamline reporting workflows, Reduce manual effort, Increase consistency, Support automated reporting, Improve reliability, Improve efficiency, Assist gathering requirements, Assist refining requirements, Ensure outputs meet standards, Assist data governance, Manage metadata, Document lineage, Maintain specifications, Enhance data models, Refresh data models, Incorporate new data sources, Incorporate updated business logic, Incorporate stakeholder feedback, Design dashboards, Maintain dashboards, Ensure dashboards accurate, Ensure dashboards performant, Align dashboards with needs, Communicate findings, Communicate data insights", "teamCollaboration" : "Partner with stakeholders; Prioritize relationships; Communicate with finance; Communicate with compliance; Communicate with business teams; Communicate with product managers", "domainKnowledge" : "Sports betting; Customer behavior analysis", "domainList" : [ "sports-betting", "customer-behavior-analysis" ], "domainSpecificKnowledge" : [ "Sports betting", "Customer behavior analysis" ], "toolProficiency" : [ "DBT", "Snowflake", "GitHub", "Tableau", "Sigma", "Power BI", "Looker" ], "communicationSkills" : "Clear reports; Presentations", "documentationSkills" : "Lineage documentation; Reporting specifications", "problemSolvingSkills" : "Logical approach; Analytical approach; Root cause analysis", "qualificationsBasic" : "3+ years experience, Advanced SQL skills, Data modeling, GitHub source code control", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U. S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. We are seeking a Data Analyst III to join our growing data organization in the enterprise reporting team. This data analyst plays a key role in developing and maintaining enterprise reporting frameworks. This role focuses on report creation, data modeling, transformation, and validation while ensuring compliance with internal governance. This developer helps bridge the gap between data engineering and analytics, ensuring that high-quality, reliable data is available for decision-making. This developer plays a key role in creating executive dashboards and reports that clearly communicate KPIs and strategic insights to leadership. Responsibilities Design, build, and maintain scalable DBT models and Snowflake SQL pipelines that power regulatory and operational reports delivered on daily, weekly, and monthly schedules. Generate and maintain accurate reports on key business metrics to support regulatory submissions, monthly tax filings, internal audits, and ad hoc requests from stakeholders. Conduct data validation, reconciliation, and quality control checks to ensure reporting integrity and consistency across all outputs. Investigate and resolve reporting variances, identifying root causes in data models or transformations and implementing fixes to maintain KPI accuracy. Develop and improve processes to streamline data extraction, transformation, and reporting workflows, reducing manual effort and increasing consistency. Support automated reporting solutions that improve the reliability and efficiency of recurring report production. Assist in gathering and refining reporting requirements from finance, compliance, and business teams to ensure outputs meet regulatory and operational standards. Assist in data governance activities, including metadata management, lineage documentation, and maintaining clear reporting specifications. Enhance and refresh existing data models and reports by incorporating new data sources, updated business logic, and stakeholder feedback. Design and maintain dashboards that support internal stakeholders, ensuring they are accurate, performant, and aligned with business needs. Effectively communicate findings and data insights to product managers, finance, and other stakeholders through clear reports and presentations. Qualifications 3+ years of experience as a Data Analyst, Business Intelligence Analyst, or similar role. Advanced SQL skills Data modeling utilizing a tool such as DBT or similar technology Manage and optimize source code control in GitHub, leveraging branching strategies and best practices to ensure efficient collaboration and code quality Experienced with building dashboards and reporting tools (e. g. Tableau, Sigma, Power BI, Looker). Customer obsessed and experience focused; highly outcome-oriented and data-driven; experienced in working in high-growth environments. Demonstrated ability to partner closely with stakeholders, earning trust and prioritizing relationships. Logical and analytical approach to problem solving. Plus for utilizing AI in analytics. Strong organizational and communication skills. Positive and flexible attitude, a willingness to embrace new initiatives. Understanding of sports betting or experience in customer behaviour analysis is a significant plus. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. Please note that visa sponsorship is not available for this position. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $87,400—$129,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.", "summaryDescription" : "Data Analyst III - Regulatory Reporting at Fanatics Betting & Gaming. Skills: Regulatory reporting, Data modeling, SQL, DBT. Design DBT models. Build DBT models", "postedDate" : "2026-06-13T21:30:36.413", "createdAt" : "2026-06-13T21:30:36.413", "lastUpdated" : "2026-06-15T11:48:34.002", "ingestTimestamp" : "2026-06-13T21:30:36.413", "mongoId" : "6a2c95aa74d8ee00a098daa5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 87400, "salaryAnnualMax" : 129000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Regulatory reporting", "SQL optimization", "Data reconciliation", "Root cause analysis", "Process streamlining", "Data governance", "Metadata management", "Lineage documentation", "Data modeling", "SQL", "DBT", "Report creation", "Data transformation", "Data validation", "Process improvement", "Reporting specifications", "Sports betting", "Customer behavior analysis", "Snowflake", "GitHub", "Tableau", "Sigma", "Power BI", "Looker" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports", "llmIndustryConfidence" : 0.98 }, { "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. Interpret results", "postedDate" : "2026-06-16T01:22:13.039", "createdAt" : "2026-06-16T01:22:13.039", "lastUpdated" : "2026-06-16T08:42:22.280", "ingestTimestamp" : "2026-06-16T01:22:13.039", "mongoId" : "6a308724f292fd229c0863dc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 77000, "salaryAnnualMax" : 90000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data validation", "Trend identification", "Result interpretation", "Client Insights", "Data Analysis", "Client-facing analytics", "Client-facing reporting", "Product analytics", "Conversion analysis", "Digital web analytics", "Travel bookings", "Lifestyle bookings", "Digital commerce", "Travel technology", "Loyalty tech", "Tableau" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305649f292fd229cf26d9a", "title" : "Software Development Engineer, AWS Billing - Insights & Optimization", "company" : "Amazon Development Centre Canada ULC", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 80000.0, "max" : 191800.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, CAN", "locations" : [ "Vancouver, British Columbia, CAN" ], "timestamp" : "2026-06-16T06:45:04.166", "fingerprint" : "03aeeec789646e109871954bffe54b661fd9b5cffcfe8bdc411b50402620ff10", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10448906/apply", "externalId" : "d08c59a6-f16b-4ac4-a203-b4a8d092a8ad", "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", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Java, Python, C++, Go, JavaScript, TypeScript, SQL, NoSQL, AWS, Azure, GCP, Docker, Kubernetes, Linux, Distributed systems, Machine learning, Data science, API design, Microservices", "professionalSkills" : [ "System design", "Problem solving", "Analytical thinking" ], "hardSkillsList" : [ "Software development", "Data structures", "Algorithms", "System architecture" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "System architecture", "level" : "intermediate" } ], "majorSkills" : "Software development, Cloud computing, Distributed systems", "majorSkillsList" : [ "Software development", "Cloud computing", "Distributed systems" ], "coreResponsibilities" : "Design, develop, test, deploy, maintain software solutions, Write high-quality, maintainable code, Collaborate with cross-functional teams, Participate in code reviews, Troubleshoot and resolve production issues, Contribute to system architecture discussions, Mentor junior engineers", "teamCollaboration" : "Cross-functional teams; Agile methodologies", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "AWS Billing; Insights; Optimization", "domainList" : [ "aws-billing", "insights", "optimization" ], "domainSpecificKnowledge" : [ "AWS Billing", "Insights", "Optimization" ], "toolProficiency" : [ "Git", "JIRA", "Docker", "Kubernetes" ], "communicationSkills" : "Technical documentation; Presentations", "documentationSkills" : "Technical writing; Architecture diagrams", "continuousLearning" : "Professional development; Training opportunities", "innovationCreativity" : "Develop innovative solutions", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Improve system performance; Enhance user experience; Deliver high-quality software", "qualificationsBasic" : "Bachelor's degree or equivalent practical experience, 3+ years of experience in software development", "qualificationsPreferred" : "Master's degree or PhD, Experience with large-scale distributed systems, Experience with cloud computing platforms (AWS, Azure, GCP), Experience with machine learning or data science", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Imagine helping every AWS customer — from startups to enterprises — spend less and do more on AWS. That's what Insights & Optimization builds. Our products turn cloud cost complexity into clarity, helping customers optimize their spend and reinvest savings back into innovation. As an SDE, you'll design and deliver the systems that make this possible — high-scale data pipelines, intelligent optimization engines, and intuitive experiences that drive real business outcomes. Key job responsibilities • Innovating and delivering creative SW Designs to develop new services, solve operational problems, drive improvements in developer velocity, or positively impact operational safety • Writing requirements capturing documents, design documents, integration test plans, and deployment plans • Communicating status and progress of deliverables to schedule, and sharing learnings/ innovations with your team and stakeholders • Building and leveraging multi-agent semi- or fully autonomous spec-driven software development pipelines Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language - AI fluency - leveraging agentic AI in daily software development and developing autonomous software development agents - AI fluency/Agentic AI - spec driven development Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Proven experience in leveraging a multi-agent semi- or fully autonomous spec-driven software development 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 - 114,800.00 - 191,800.00 CAD annually", "summaryDescription" : "Software Development Engineer, AWS Billing - Insights & Optimization at Amazon Development Centre Canada ULC. Skills: Software development, Cloud computing, Distributed systems. Design, develop, test, deploy, maintain software solutions. Write high-quality, maintainable code", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T21:59:54.102", "lastUpdated" : "2026-06-16T06:45:04.166", "ingestTimestamp" : "2026-06-15T21:59:54.102", "mongoId" : "6a305649f292fd229cf26d9a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448906/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Software development", "Data structures", "Algorithms", "System architecture", "Cloud computing", "Distributed systems", "System design", "Problem solving", "Analytical thinking", "Agile", "Scrum", "AWS Billing", "Insights", "Optimization", "Git", "JIRA", "Docker", "Kubernetes" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305ffff292fd229cf840cc", "title" : "Retail Insights Manager", "company" : "SPINS", "industry" : "Retail", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Retail Insights Manager in Bulgaria, adjusted for a full-time remote role." }, "location" : "Remote", "locations" : [ "Remote", "Chicago", "Illinois", "United States" ], "timestamp" : "2026-06-16T08:10:16.333", "fingerprint" : "a5016047951be6731f0733443befa5cc1dfc20e996afd4165599fb55aaa4ccdf", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.spins.com/work-at-spins/?gh_jid=7655949", "externalId" : "7655949", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "experienceLevel" : "Manager", "technicalSkills" : "MS Office, Excel, PowerPoint, Outlook", "professionalSkills" : [ "Analytics", "Storytelling", "Reporting efficiency" ], "hardSkillsList" : [ "Data analysis", "Strategic analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Strategic analysis", "level" : "intermediate" } ], "majorSkills" : "Retail analytics, Client management, Data insights", "majorSkillsList" : [ "Retail analytics", "Client management", "Data insights" ], "coreResponsibilities" : "Lead delivery of strategic analyses, Deliver insights and recommendations, Apply SPINS proprietary assets, Work directly with executives, Understand client opportunities, Develop growth solutions, Develop growth strategies, Partner with client, Assess reporting and tools, Improve reporting and tools, Deliver client training sessions, Ensure client captures value, Provide business growth opportunities, Bring forward thought leadership, Add value to clients, Add insights to clients", "teamCollaboration" : "Client team members; Client stakeholders", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "CPG/Retail analytics; Natural products industry", "domainList" : [ "cpg-retail-analytics", "natural-products-industry" ], "domainSpecificKnowledge" : [ "CPG/Retail analytics", "Natural products industry" ], "toolProficiency" : [ "Circana", "NielsenIQ", "SPINS", "Numerator" ], "communicationSkills" : "Presentation skills", "problemSolvingSkills" : "Strategic analyses", "outcomesObjectives" : "Capture biggest growth opportunities; Drive client's business forward; Ensure client captures value", "qualificationsBasic" : "2-4 years CPG/Retail analytics experience, Prior experience managing client stakeholders, Prior experience in translating data, Excellent presentation skills, Prior experience with syndicated data, Intermediate MS Office skills", "qualificationsPreferred" : "Experience with Distributor or Retailer, Comfortable with complexity, Interpersonal skills, Organizational skills, Project management skills, Ability to understand customer mindset, Skilled at leveraging business relationships, Experience with natural products industry", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Who We Are For over 20 years, SPINS has been a leader in recognizing the transformative power of data in retail. We offer our clients cutting-edge tools to attract attention from a fast-growing segment within the Health however, qualified applicants from other locations will be considered Retail Insights Manager Summary The Retail Team is focused on recruiting, retaining, and expanding our partnerships with retailers and distributors to ensure their sustained growth. Retail is the cornerstone of SPINS as our Retail Partners are the primary source of data fueling our front-end applications and enabling our proprietary Product Intelligence. SPINS is focused on helping our clients achieve sustained, profitable growth. The Retail Support Team uses SPINS industry-leading Natural, Organic, and Specialty Products Retail Market Information in combination with analytics and strategic analyses to generate powerful insights. This Retail Insights Manager will be working directly with clients to help them capture their biggest growth opportunities. Job Duties & Responsibilities Lead the delivery of strategic analyses, insights, and recommendations based on applying SPINS proprietary assets, in combination with the client's team members and client's information. Work directly with executives at our client company to understand their opportunities and develop growth solutions and strategies to capture them. Partner with the client to understand, continually assess, and improve reporting and tools to continue to drive forward the client's business. Deliver client training sessions to ensure client captures value of the SPINS assets and provide business growth opportunities. Brings forward relevant SPINS and 3rd party thought leadership to add additional value and insights to assigned clients. Requirements: Education & Experience 2-4 years CPG/Retail analytics experience in with a Distributor, Retailer, CPG company, or Market Research firm Prior experience managing client stakeholders and multiple projects concurrently Prior experience in translating data and using analyses in storytelling and reporting efficiency Excellent presentation skills and is very comfortable presenting to clients Initiative, creativity and a passion to deliver results that make a difference to our client Self-starter, with strong intellectual curiosity Prior experience with syndicated data such as Circana (IRi), NielsenIQ, SPINS, Numerator, etc. Intermediate knowledge/skills in MS Office (Excel, PowerPoint, Outlook) The following is strongly preferred: Experience with Distributor or Retailer Comfortable with complexity Interpersonal, organizational and project management skills Ability to understand the customer mindset and offer solutions Skilled at leveraging business relationships at all levels within the organization Experience with the natural products industry Salary Range: $80,000 to $90,000 Note: Applicants must be authorized to work for any US employer. We are unable to sponsor or take over sponsorship of an employment Visa at this time. #LI-SB1 #LI-Hybrid What SPINS Offers We have enjoyed tremendous growth over the years and, as a leader in a fast-growing industry, we have no plans to slow down! While all that growth brings excitement, it is also an opportunity for SPINS to show it values the health and wellness of its team members. We embrace hybrid work options so that you have the flexibility to create a work/life balance that actually works! Each employee is allotted paid time to use to volunteer with an organization of their choice and charitable donations are matched. Semi-annual company-wide employee survey that is used to shape company programs, perks, and culture. The SPINS Way Direct – We communicate with clarity, honesty and respect in all situations and embrace opportunities to provide solution-oriented feedback. Determined – We are committed to overcoming all obstacles to achieve results. We adapt to change, seek opportunities to learn and rapidly translate that learning into action. Passionate – We go above and beyond to help our partners achieve their goals. We challenge assumptions and are comfortable forging new paths. Collaborative – We leave our egos at the door, believing that working together we will produce an outcome that’s greater than each individual contribution. For details about the information SPINS’s collects about our applicants and how we use it, please see the SPINS Privacy Policy here.", "summaryDescription" : "Retail Insights Manager at SPINS. Skills: Retail analytics, Client management, Data insights. Lead delivery of strategic analyses. Deliver insights and recommendations", "postedDate" : "2026-06-15T23:22:36.694", "createdAt" : "2026-06-15T23:22:36.694", "lastUpdated" : "2026-06-16T08:10:16.333", "ingestTimestamp" : "2026-06-15T23:22:36.694", "mongoId" : "6a305ffff292fd229cf840cc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Strategic analysis", "Retail analytics", "Client management", "Data insights", "Analytics", "Storytelling", "Reporting efficiency", "Project management", "CPG/Retail analytics", "Natural products industry", "Circana", "NielsenIQ", "SPINS", "Numerator" ], "skillCount" : 15, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30512ff292fd229cefbdfc", "title" : "Principal, Web Optimization & Data Operations", "company" : "Nintendo", "salary" : { "min" : 145150.0, "max" : 261200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Redmond, WA", "locations" : [ "Redmond", "WA" ], "timestamp" : "2026-06-16T09:26:25.875", "fingerprint" : "d5a5aa3de493c51cbdcee25f5fbdbeeb3e85a4a44dc2bac632255219ea56d70c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.nintendo.com/?gh_jid=4257908009", "externalId" : "4257908009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redmond", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "47.6694141,-122.1238767" } ], "locationText" : "Redmond, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "rawDescription" : "Nintendo of America About Nintendo of America: From the launch of the Nintendo Entertainment System™ more than 30 years ago, Nintendo’s mission has been to create smiles through unique entertainment experiences. Here at Nintendo of America Inc., we deliver on this mission by partnering closely with Nintendo Co., Ltd., to bring Nintendo’s iconic and cherished franchises including Mario™, Donkey Kong™, The Legend of Zelda™, Metroid™, Animal Crossing™, Pikmin™ and Splatoon™ across the Americas through our video games, hardware systems, and collaborations with partners on a range of other entertainment initiatives like feature films and theme parks. We are an equal opportunity employer offering a welcoming and inclusive environment in service to one another, our products, and the diverse consumers and communities we call home. For more information about Nintendo, please visit the company’s website at https://www.nintendo.com/. SUMMARY: As a subject matter expert, crafts complex scalable business solutions that retrieve and aggregate data from multiple sources to present in a digestible and actionable format for various Nintendo business groups. Channels may vary such as web, retail, etc. Delivers recommendations for improvement to all analytic lines of thinking and technical solutions. DESCRIPTION OF DUTIES Responsible for the end-to-end process and analysis of channel analytics for Nintendo’s marketing. Owner and domain expert of channel analytics and provides insights used to develop digital experiences to attract, engage, and convert customers. Responsible for analytics tracking including design. Ensure data integrity and accuracy including document and maintain tagging library, data dictionary, and ensure solutions are aligned with business objectives. Researches, designs and implements reporting infrastructure that leads to automated and flexible reporting. Design and build dashboards, recurring reports and ad hoc analysis to track key performance indicators and communicate trends effectively. Analyzes and synthesizes multiple data sources to provide actionable insight on customer behavior data and identify opportunities to improve experience. Provides statistical data analysis to support optimization in developing relevant personalization and experimentation of feature displays on Nintendo websites. Leverage advance analytical techniques such as predictive modeling to drive performance. Monitor industry trends, programs and tools that develops the web analytics practice in Marketing. SUMMARY OF REQUIREMENTS Minimum of seven (7) years of experience with business analysis. Must have excellent analytical skills and ability to read autonomously and efficiently, sanity check and analyze data and deliver actionable recommendations. Minimum of five (5) years of experience with analytics tools such as Adobe Analytics, Google Analytics, Quantum Metric. Minimum of five (5) years of experience with advanced functionalities of Excel. Must be proficient with analytic functions such as pivot tables, formulas and statistical inference. Macros a plus. Experience in working with Data visualization tools such as Tableau, building interactive reports, complex dashboards for different audiences, creating calculated KPIs or metrics by writing complex formulas. Demonstrated strength in BigQuery, Python, R and understanding of data warehousing solutions to facilitate analytics capabilities. Must be able to quickly learn new analytical tools and database infrastructure. Strong written and verbal communication skills to articulate and present findings to others and translate analytical findings into easily understandable, actionable insights. Bachelor’s degree in mathematics, computer science, statistics or other quantitative field preferred. Other degrees are okay if the candidate has strong analytical and quantitative skills and relevant work experience. Advanced degree a plus. Applicants must be legally eligible to work in the United States to be considered. Visa sponsorship is not available for this role. This position is hybrid in Redmond, WA. Hybrid positions require regular onsite work following the schedule and guidelines for their division. This position is not open to fully remote status at this time. This position includes the base pay range listed below, potential for a semi-annual discretionary performance bonus, and a comprehensive benefits package that includes medical, dental, vision, 401(k), and paid time off. Pay Range: $145,150—$261,200 USD", "summaryDescription" : "Principal, Web Optimization & Data Operations at Nintendo", "postedDate" : "2026-06-15T23:16:08.346", "createdAt" : "2026-06-15T23:16:08.346", "lastUpdated" : "2026-06-16T09:26:25.875", "ingestTimestamp" : "2026-06-15T23:16:08.346", "mongoId" : "6a30512ff292fd229cefbdfc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145150, "salaryAnnualMax" : 261200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305649f292fd229cf26d8e", "title" : "Sr. Software Development Engineer, AWS Insights & Optimizations", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 184900.0, "max" : 250200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-16T05:20:48.590", "fingerprint" : "e876707eae647c0e8e178c2577fcbc3b37e02708a1180e07ba0a1c0a8c1b8a53", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10448913/apply", "externalId" : "968f842b-6242-4e72-b205-c9c9aac75e29", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" }, { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "New York, New York, United States; Arlington, Virginia, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "The AWS Analytics and Machine Learning team, within AWS Billing and Cost Management, is seeking an experienced software engineer lead to join a team working to help AWS customers plan and monitor their cloud costs. Our product has high visibility and is an essential resource for AWS customers of all sizes. Providing a scalable platform to support AWS’ expanding business is a complex architectural challenge, and accurate cost and usage information is a critical piece. Enterprise-level customers make large dollar-value decisions based on the timeliness, accuracy, and detail of the data provided by our products. You will be the technical lead, taking on architectural challenges in processing billions of usage records and providing intelligent products to help customers understand, control, and estimate their costs. You will be empowered to think big, invent on behalf of our customers, make judgment calls and find elegant solutions to hard problems. Key job responsibilities - Tackle complex problems such as processing large volumes of data at low latency and cost. - Deliver projects that delight our customers - Lead by example your team, establishing high standards coding and operational practices. - Coach and support a team of software developers with a wide mix of backgrounds and strengths - Participate in interviews for other teams in the organization. - Work with extraordinary teams delivering demanding projects. - Collaborate with other teams and organizations to simplify solutions and deliver results to our customers. A day in the life On our team, you will spend your time tackling the hardest problems in the space. You will work with your manager and other technical leaders to define and kick-off long-term strategies, setting up your team for success. You collaborate with Data Scientists to improve customer experience and enabling new features through analytics and machine learning. About the team We are a collaborative, highly-motivated group within AWS Insights & Organizations. We are entrepreneurial with a high degree of ownership and a commitment to experiment and innovate. We encourage diversity of opinion and welcome dissent with respect and thoughtful debate as we search for the best solutions - and we'd love to hear yours. This is an opportunity to think about big problems that impact millions of our AWS customers and solve them with our collective ingenuity, all while engaging various teams across our broader org. You will join a team at the center of AWS cost management — the services that every customer interacts with when they set budgets, receive anomaly alerts, or forecast their AWS spend. Basic Qualifications: - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications: - 8+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - 4+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience 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 - 184,900.00 - 250,200.00 USD annually", "summaryDescription" : "Sr. Software Development Engineer, AWS Insights & Optimizations at Amazon Development Center U.S., Inc.", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T21:56:38.389", "lastUpdated" : "2026-06-16T05:20:48.590", "ingestTimestamp" : "2026-06-15T21:56:38.389", "mongoId" : "6a305649f292fd229cf26d8e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448913/apply", "salaryAnnualMin" : 184900, "salaryAnnualMax" : 250200, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a16291c58b93c861e95a293", "title" : "Structures Section Manager", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Philadelphia, USA, adjusted for the Structures Section Manager role using 2024-2025 data." }, "location" : "United States-Pennsylvania-Philadelphia", "locations" : [ "United States-Pennsylvania-Philadelphia" ], "timestamp" : "2026-06-15T09:12:14.478", "fingerprint" : "f12e1cf8a6e30ec6dfd1eaff3daef76e8e5583657a013cd919e7c30224a28db8", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=766369", "externalId" : "766369", "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", "minimumEducation" : "Bachelor's", "experienceMinYears" : 7, "experienceLevel" : "Manager", "softSkillsList" : [ "Leadership", "Organizational skills" ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Organizational skills" } ], "communicationSkills" : "Communication skills; Listening skills", "qualificationsBasic" : "Bachelor's degree or equivalent experience, Minimum of 7 years experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Required Qualifications Bachelor's degree or equivalent experience A minimum of 7 years experience Professional registration, license or certification may be required based on role Strong communication and listening skills Ability to handle multiple assignments Good leadership and organizational skills An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. 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Our award-winning whole body scan is fast (under 1 hour), safe (MRI has no ionizing radiation), and non-invasive (no contrast). Our unique integrated stack of optimized hardware, software, and increasingly AI, coupled with the patient-centric experience across our domestic and global clinics, have allowed us to lead the change against “we caught it too late again\". We are seeking a full-time Technical Manager, Financial Planning & Analysis to join our growing FP&A team. This role will serve as the bridge between finance, data, and technology, helping build and scale our planning infrastructure while supporting both clinic operations and corporate functions. The ideal candidate is a strategic and analytical thinker who combines strong FP&A expertise with systems and data acumen. You are comfortable operating independently, partnering across teams, and driving initiatives from concept to execution. No task is too small or too complex, and you thrive in a fast-paced, evolving environment. A key focus of this role will be leading the implementation and ongoing optimization of Pigment, our first enterprise FP&A planning platform. This individual will help establish scalable planning processes, improve data connectivity, and enable more sophisticated forecasting, reporting, and decision support capabilities across the organization. Title and level will be assessed commensurate with experience. This position reports directly to the VP, FP& A. This role does not provide visa sponsorship. Applicants must be legally authorized to work in the United States at the time of hire and must not require employer sponsorship for a work visa (current or future). Help reshape the world through proactive healthcare while working with cutting-edge technology and high performing teams with deep expertise - join us to make a difference in people’s lives! What You’ll Do Financial Systems & Planning Infrastructure Lead the implementation, administration, and ongoing optimization of our FP&A planning platform (Pigment). Serve as the primary liaison between Finance, Data, and Engineering teams to ensure the integrity, scalability, and usability of financial data and planning systems. Design and maintain data models, integrations, and reporting structures that support budgeting, forecasting, long-range planning, and management reporting. Establish governance, documentation, and best practices for financial systems and planning processes. Financial Planning & Analysis Partner with other FP&A Managers on the development and maintenance of driver-based financial models to support budgeting, forecasting, long-range planning, and strategic decision-making. Develop real-time reporting and performance dashboards to monitor business results and analyze variances against plan. Own consolidations and lead preparation of our Monthly Financial Packages and other Quarterly and Annual Board Reporting. Support monthly, quarterly, and annual forecasting processes, ensuring accuracy, consistency, and actionable insights. Conduct detailed analyses of business performance, including operational metrics, marketing efficiency, customer acquisition costs, revenue performance, and other key drivers. Business Partnership & Strategic Support Act as the primary business partner for our CTO and IT teams. Partner with department leaders to support goal setting, resource planning, performance measurement, and growth initiatives. Translate complex financial and operational data into actionable recommendations for business stakeholders. Prepare and deliver clear, concise, and insightful analyses and presentations for senior leadership. Champion continuous improvement initiatives across financial processes, reporting, systems, and analytics capabilities. What You’ll Bring Strong foundation in FP&A, including budgeting, forecasting, long-range planning, variance analysis, and management reporting. Hands-on experience implementing, administering, or optimizing FP&A platforms such as Pigment, Anaplan, Adaptive Planning, Planful, or similar tools. Experience building driver-based financial models and scalable planning processes in a high-growth environment. Strong understanding of financial statements, operational KPIs, business performance drivers, and SaaS or multi-site operating metrics. Demonstrated ability to work with large, complex datasets and partner effectively with data and technology teams. Advanced analytical, problem-solving, and financial modeling skills with exceptional attention to detail. Excellent communication and presentation skills, with the ability to influence both finance and non-finance stakeholders. A proactive, solution-oriented mindset with a track record of overcoming obstacles and driving results. Comfortable navigating ambiguity and managing multiple priorities in a rapidly changing environment. Technical Skills Experience with SQL and data warehouse environments (Snowflake, BigQuery, Redshift, etc.) Experience integrating ERP, HRIS, CRM, and operational data into planning systems Familiarity with BI tools such as Sigma, Tableau, Power BI, or Looker Experience designing data models and dimensional planning structures preferred AI & Automation Experience leveraging automation and AI tools to improve forecasting, reporting, and planning workflows preferred Proven track record identifying and implementing process improvements that reduce manual effort and increase scalability Preferred Qualifications 5–10+ years of experience in FP&A, strategic finance, finance systems, or related fields Prior experience leading a planning system implementation from design through deployment Experience in healthcare services, multi-site operations, or high-growth environments Our Values First: we are Pioneers Transforming healthcare requires divergent thinking, bias for action, disciplined experimentation, and consistent grit and determination to maintain momentum. This journey is as challenging as it is rewarding. Second: we are Platform-Builders We’re always building foundations that allow us to achieve tomorrow more than we did today. We never lose sight of what’s ahead – in a mindset of ownership and duty to our mission. Above all: we are Patients We could all be the next person who walks through our very doors, seeking clarity or peace of mind. We are proud of our impact on our patients’ lives, and we won’t stop till everyone can benefit from our work. What We Offer An avenue to make a positive impact on people's lives and their health We believe in preventative healthcare for everyone, including our team - Prenuvo provides free, whole-body scans to each team member Growth opportunities are at the heart of our people journey, we’re doing big things with bright minds - there is no single path to success, it can be shaped along the way Building strong relationships is at the core of everything we do - our team gets together each week to connect, share, and socialize Recognizing time away to restore is vital to our wellbeing - we have a flexible vacation policy and we will encourage you to use it We now offer the Prenuvo’s Commuter Benefits Plan to help cover your transit and parking costs. Whether you ride, drive, or park, we’ve got you covered—making your commute easier and more affordable! Retirement made easy! Prenuvo offers a 401(k) retirement savings plan to eligible employees, allowing team members to make pre-tax contributions toward their retirement. While Prenuvo facilitates access to the plan, the company does not currently offer matching contributions. We offer a comprehensive benefits package including health, dental, vision, including Mental Health coverage, to support you and your family The base salary for this role ranges from $160,000- $190,000, depending on experience and geographic location We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. As part of the hiring process, successful candidates will undergo a background check in compliance to applicable federal, provincial, and state rules. Please be advised that official communication from our recruitment team will only come from our authorized domain [prenuvo.com]. If you are contacted by a recruiter, please ensure their email address ends with @prenuvo.com. We do not use third-party recruitment services or any other email domains for hiring purposes. 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Collaborate with internal teams", "projectManagementSkills" : [ "Managing multiple projects" ], "domainKnowledge" : "Brand performance; Marketing strategy; Data interpretation", "domainList" : [ "brand-performance", "marketing-strategy", "data-interpretation" ], "domainSpecificKnowledge" : [ "Brand performance", "Marketing strategy", "Data interpretation" ], "toolProficiency" : [ "CRM systems" ], "communicationSkills" : "Client presentations; Storytelling", "documentationSkills" : "Reporting; Documentation", "continuousLearning" : "Learning and development support", "problemSolvingSkills" : "Data interpretation; Actionable recommendations", "qualificationsBasic" : "5+ years of experience in data analytics, 5+ years of experience in customer insights, 5+ years of experience in consulting, 5+ years of experience in data-driven client-facing role, Proficiency in Excel, Experience transforming data into clear, compelling insights and narratives, Proven ability to lead client presentations, Communicate complex findings through storytelling, Relationship-building skills, Stakeholder management skills, Ability to influence clients effectively, Ability to advise clients effectively, Experience managing multiple projects simultaneously, Comfortable working in a consultative, client-facing role, Ability to combine quantitative analysis with qualitative understanding, Deliver actionable recommendations", "qualificationsPreferred" : "Experience in a similar data-driven client-facing role", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Own and manage a portfolio of client accounts, ensuring strong engagement, satisfaction, and long-term retention through regular reviews and proactive communication. Translate client marketing and communication goals into clear measurement frameworks, reporting structures, and actionable insights. Deliver timely, high-quality reports and performance analyses that highlight brand impact, trends, and opportunities for optimization. Act as a trusted advisor to clients, presenting insights and recommendations that shape strategic marketing and communication decisions. Identify upsell and cross-sell opportunities and collaborate with sales teams to support growth initiatives and renewals. Maintain accurate client records, reporting, and documentation within CRM systems while tracking account health and risks. Collaborate with internal teams to share customer feedback, support product improvements, and contribute to new KPI development. Analyze qualitative and quantitative data to uncover trends, patterns, and performance drivers across brand portfolios. Requirements: 5+ years of experience in data analytics, customer insights, consulting, or a similar data-driven client-facing role. Strong analytical skills with proficiency in Excel and experience transforming data into clear, compelling insights and narratives. Proven ability to lead client presentations and communicate complex findings through storytelling at multiple organizational levels. Strong relationship-building and stakeholder management skills, with the ability to influence and advise clients effectively. Experience managing multiple projects simultaneously in fast-paced and evolving environments. Strong curiosity and interest in brand performance, marketing strategy, and data interpretation. Ability to combine quantitative analysis with qualitative understanding to deliver actionable recommendations. Comfortable working in a consultative, client-facing role that blends analysis, strategy, and communication. Benefits: Competitive salary with performance-based compensation (varies by location and experience). Flexible remote work arrangements, with opportunities to collaborate internationally. Comprehensive health, dental, and vision insurance (based on location). Paid time off and holidays to support work-life balance. Learning and development support to encourage continuous growth and skill-building. Exposure to leading global brands in fashion, lifestyle, and beauty industries. Collaborative, people-first culture focused on autonomy, impact, and professional development. ## 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" : "Brand Insights Manager. Skills: Client presentations, Data storytelling, Client relationship management. Own and manage a portfolio of client accounts. 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Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United Kingdom-England-London", "summaryDescription" : "Architect for Data Center Projects. Skills: Architecture, Data Center Projects. 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