{ "count" : 20080, "data" : [ { "id" : "693c2b8070f0b99d5843f7ac", "title" : "Senior Data Scientist, Global Transformation + Insights, GREF – Global Transformation & Insights (GTI)", "company" : "Amazon.com Services LLC", "industry" : "Data Science, Science, finance", "salary" : { "min" : 143300.0, "max" : 247600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T01:41:24.102", "fingerprint" : "a0a8f86e735d71de6c80e70fe1a42ca720a6d9f2aca36de8d4616486288cc249", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3139174/apply", "externalId" : "e41ebd80-900e-47dc-9a86-cdc522c8d427", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, SAS, Matlab", "professionalSkills" : [ "Data science", "Business insights", "Customer insights", "Creative", "Communications" ], "hardSkillsList" : [ "Machine learning", "Statistics", "Deep learning", "System architecture", "Optimization", "System dynamics", "System analysis", "Statistical analysis", "Reliability analysis", "Electronic system design", "Decision making", "Quantitative analysis", "Data-driven recommendations", "Analytic products", "Scientific products", "Data science methodologies", "Data science tools" ], "softSkillsList" : [ "Ownership", "Think Big", "Mentors", "Partners" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "System architecture", "level" : "intermediate" }, { "name" : "Optimization", "level" : "intermediate" }, { "name" : "System dynamics", "level" : "intermediate" }, { "name" : "System analysis", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Reliability analysis", "level" : "intermediate" }, { "name" : "Electronic system design", "level" : "intermediate" }, { "name" : "Decision making", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Data-driven recommendations", "level" : "intermediate" }, { "name" : "Analytic products", "level" : "intermediate" }, { "name" : "Scientific products", "level" : "intermediate" }, { "name" : "Data science methodologies", "level" : "intermediate" }, { "name" : "Data science tools", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership" }, { "name" : "Think Big" }, { "name" : "Mentors" }, { "name" : "Partners" } ], "majorSkills" : "Data science, Machine learning, Statistics", "majorSkillsList" : [ "Data science", "Machine learning", "Statistics" ], "coreResponsibilities" : "Demonstrate advanced technical expertise, Provide scientific leadership, Provide technical leadership, Stay current with emerging technologies, Stay current with methodologies, Apply data science techniques, Solve business problems, Guide junior data scientists, Mentor junior data scientists, Share knowledge about scientific advancements, Contribute to technical growth, Work on complex projects, Work on high-impact projects, Influence data science strategy, Influence data science direction, Collaborate across teams, Drive data-driven decision making", "teamCollaboration" : "Collaborating on what else; Collaborating on how might we; Collaborating on how can help", "domainKnowledge" : "Real estate transaction; Space planning; Occupancy planning; Design and construction; Capital investment; Facility maintenance; Operations", "domainList" : [ "real-estate-transaction", "space-planning", "occupancy-planning", "design-and-construction", "capital-investment", "facility-maintenance", "operations" ], "domainSpecificKnowledge" : [ "Real estate transaction", "Space planning", "Occupancy planning", "Design and construction", "Capital investment", "Facility maintenance", "Operations" ], "communicationSkills" : "Communicating complex ideas", "innovationCreativity" : "Builders; Creators; Innovators", "problemSolvingSkills" : "Problem-solving capabilities; Isolate complex problems; Define complex problems; Resolve complex problems; Implement effective solutions; Implement efficient solutions", "qualificationsBasic" : "5+ years data querying languages, 5+ years scripting languages, 5+ years statistical/mathematical software, 4+ years data scientist experience, Bachelor's degree, Experience in machine learning, Experience in statistics, Experience in deep learning, Knowledge of system architecture, Knowledge of optimization, Knowledge of system dynamics, Knowledge of system analysis, Knowledge of statistical analysis, Knowledge of reliability analysis, Knowledge of electronic system design, Knowledge of decision making, Experience solving complex problems quantitatively, Experience developing actionable data-driven business recommendations, Experience building analytic data products, Experience building scientific data products, Experience leading teams, Experience influencing teams, Experience influencing organization, Experience managing teams, Experience managing team members, Experience coaching team members, Knowledge of existing technologies, Knowledge of developing technologies, Experience communicating complex ideas, Advanced proficiency across multiple data science disciplines, Foundation in data science methodologies, Foundation in data science tools", "qualificationsPreferred" : "Master's Degree with 4+ years relevant experience, Bachelor's Degree with 8+ years relevant experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Global Real Estate and Facilities (GREF) team provides real estate transaction expertise, business partnering, space & occupancy planning, design and construction, capital investment program management and facility maintenance and operations for Amazon’s corporate office portfolio across multiple countries. We partner with suppliers to ensure quality, innovation and operational excellence with Amazon’s business and utilize customer driven feedback to continuously improve and exceed employee expectations. Within GREF, the newly formed Global Transformation & Insights (GTI) team is responsible for Customer Insights, Business Insights, Creative, and Communications. We are a group of builders, creators, innovators and go getters. We are customer obsessed, and index high on Ownership. We Think Big, and move fast, and constantly challenge one another while collaborating on \"what else\", \"how might we\", and \"how can I help\". We celebrate the unique perspectives we each bring to the table. We thrive in ambiguity. The ideal Senior Data Scientist candidate thrives in ambiguous environments where the business problem is known, though the technical strategy is not defined. They are able to investigate and develop strategies and concepts to frame a solution set and enable detailed design to commence. They must have strong problem-solving capabilities to isolate, define, resolve complex problems, and implement effective and efficient solutions. They should have experience working in large scale organizations – where data sets are large and complex. They should have high judgement with the ability to balance the right data fidelity with right speed with right confidence level for various stages of analysis and purposes. They should have experience partnering with a broad set of functional teams and levels with the ability to adjust and synthesize their approaches, assumptions, and recommendations to audiences with varying levels of technical knowledge. They are mentors and strong partners with research scientists and other data scientists. Key job responsibilities - Demonstrate advanced technical expertise in data science - Provide scientific and technical leadership within the team - Stay current with emerging technologies and methodologies - Apply data science techniques to solve business problems - Guide and mentor junior data scientists - Share knowledge about scientific advancements with team members - Contribute to the technical growth of the organization - Work on complex, high-impact projects - Influence data science strategy and direction - Collaborate across teams to drive data-driven decision making Basic Qualifications: - 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 4+ years of data scientist experience - Bachelor's degree - Experience in machine learning, statistics, and deep learning - Knowledge of concepts like system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, electronic system design, and decision making - Experience solving complex problems quantitatively and develop actionable data-driven business recommendations - Experience in building analytic or scientific data products or solutions - Experience leading and influencing your team or organization, or experience managing teams - Experience managing and coaching team members - Knowledge of existing and developing technologies - Experience communicating complex ideas to technical and non-technical audiences - Advanced proficiency across multiple data science disciplines - Strong foundation in data science methodologies and tools Preferred Qualifications: - Master's Degree with 4+ years of relevant experience, OR - Bachelor's Degree with 8+ years of relevant 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Senior Data Scientist, Global Transformation + Insights, GREF – Global Transformation & Insights (GTI) at Amazon.com Services LLC. Skills: Data science, Machine learning, Statistics. Demonstrate advanced technical expertise. Provide scientific leadership", "postedDate" : "2026-06-13T02:11:39.567", "createdAt" : "2026-06-13T02:11:39.567", "lastUpdated" : "2026-06-15T01:41:24.102", "ingestTimestamp" : "2026-06-13T02:11:39.567", "mongoId" : "693c2b8070f0b99d5843f7ac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3139174/apply", "salaryAnnualMin" : 143300, "salaryAnnualMax" : 247600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Machine learning", "Statistics", "Deep learning", "System architecture", "Optimization", "System dynamics", "System analysis", "Statistical analysis", "Reliability analysis", "Electronic system design", "Decision making", "Quantitative analysis", "Data-driven recommendations", "Analytic products", "Scientific products", "Data science methodologies", "Data science tools", "Ownership", "Think Big", "Mentors", "Partners", "Data science", "Business insights", "Customer insights", "Creative", "Communications", "Real estate transaction", "Space planning", "Occupancy planning", "Design and construction", "Capital investment", "Facility maintenance", "Operations" ], "skillCount" : 33, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 1009.7116, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a305117f292fd229cef9627", "title" : "Associate Director, US Commercial Insights", "industry" : "Analyst", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the US market baseline for a Director-level position in the Pharma industry, adjusted for a remote work mode and the specified seniority and experience level." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T12:36:38.199", "fingerprint" : "e39a0d3b87e448b99ea46092bacd7366059cde0971be41107267d1cc0cbce7ad", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/230ccb81-fbca-4424-8e8b-f70b2c4d36f9/apply", "externalId" : "230ccb81-fbca-4424-8e8b-f70b2c4d36f9", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Director", "professionalSkills" : [ "Commercial strategy", "Market development", "Go-to-market strategies", "Competitive intelligence", "Commercial execution" ], "hardSkillsList" : [ "Qualitative research", "Quantitative research", "Data synthesis" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "Qualitative research", "level" : "intermediate" }, { "name" : "Quantitative research", "level" : "intermediate" }, { "name" : "Data synthesis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "Commercial insights strategy, Market research, Actionable recommendations", "majorSkillsList" : [ "Commercial insights strategy", "Market research", "Actionable recommendations" ], "coreResponsibilities" : "Lead development of US commercial insights strategy, Lead execution of US commercial insights strategy, Identify key business questions, Translate questions into research plans, Partner with cross-functional teams, Deliver actionable insights, Shape market development strategies, Shape go-to-market strategies, Design primary market research, Oversee primary market research, Design secondary market research, Oversee secondary market research, Ensure methodological rigor, Ensure alignment with business objectives, Synthesize data from multiple sources, Build unified view of market, Build unified view of customer, Act as strategic advisor, Influence key decisions, Ensure insights are clearly communicated, Translate insights into recommendations, Drive measurable business impact, Manage vendor relationships, Contribute to oversight of budgets, Contribute to oversight of contracts, Contribute to oversight of external partnerships, Foster innovation in insights generation, Explore new methodologies, Explore new tools, Explore new data sources", "teamCollaboration" : "Cross-functional teams; Global and US teams", "domainKnowledge" : "Rare disease; Rheumatology; Pharmaceutical data; Commercial research", "domainList" : [ "rare-disease", "rheumatology", "pharmaceutical-data", "commercial-research" ], "domainSpecificKnowledge" : [ "Rare disease", "Rheumatology", "Pharmaceutical data", "Commercial research" ], "communicationSkills" : "Executive presentations", "continuousLearning" : "Professional development; Learning opportunities; Career growth", "innovationCreativity" : "Innovation in insights generation", "problemSolvingSkills" : "Problem-solving skills", "specialRequirements" : "Ability to travel up to 20%", "outcomesObjectives" : "Drive measurable business impact", "qualificationsBasic" : "Bachelor's degree, 7–10 years of experience, Expertise in primary market research, Deep understanding of research methodologies, Proven ability to integrate data, Demonstrated experience influencing senior stakeholders, Analytical, critical thinking, and problem-solving skills, Excellent communication skills", "qualificationsPreferred" : "Advanced degree preferred, Experience within rare disease and/or rheumatology, Experience with product launches, Familiarity with pharmaceutical data sources, Familiarity with vendors, Familiarity with commercial research tools", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Lead the development and execution of the US commercial insights strategy and learning agenda, identifying key business questions and translating them into structured research plans. Partner with cross-functional teams (commercial, medical, analytics, and market access) to deliver actionable insights that shape market development and go-to-market strategies. Design and oversee primary and secondary market research initiatives, ensuring methodological rigor and alignment with business objectives. Synthesize data from multiple sources, including market research, competitive intelligence, analytics, and field insights, to build a unified view of the market and customer landscape. Act as a strategic advisor to senior leadership, influencing key decisions on positioning, strategy, and commercial execution. Ensure insights are clearly communicated and translated into actionable recommendations that drive measurable business impact. Manage vendor relationships and contribute to oversight of budgets, contracts, and external partnerships in collaboration with internal stakeholders. Foster innovation in insights generation by exploring new methodologies, tools, and data sources to enhance decision-making capabilities. Requirements: Bachelor’s degree required; advanced degree preferred. 7–10 years of experience in pharmaceutical, biotechnology, healthcare insights, or related commercial functions. Strong expertise in primary market research, ideally within rare disease and/or rheumatology. Deep understanding of both qualitative and quantitative research methodologies and their application in commercial strategy. Proven ability to integrate complex, disparate data sets into clear strategic narratives and actionable recommendations. Demonstrated experience influencing senior stakeholders in a matrixed, cross-functional environment. Strong analytical, critical thinking, and problem-solving skills with a business-oriented mindset. Excellent communication skills, with the ability to translate insights into compelling recommendations for executive audiences. Experience with product launches in rare disease or specialty care is a plus. Familiarity with pharmaceutical data sources, vendors, and commercial research tools. Ability to travel up to 20%. Strong collaboration skills, with the ability to operate effectively across global and US teams. Benefits: Competitive salary aligned with experience and market benchmarks. Eligibility for short-term and long-term incentive programs. Comprehensive health, dental, and vision insurance coverage. Retirement savings plan and financial wellbeing support. Flexible working arrangements with hybrid/remote options depending on role needs. Opportunities to work in a high-growth, science-driven organization focused on rare diseases. Strong emphasis on professional development, learning, and career growth. Inclusive and collaborative culture with global cross-functional exposure. ## 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" : "Associate Director, US Commercial Insights. Skills: Commercial insights strategy, Market research, Actionable recommendations. Lead development of US commercial insights strategy. Lead execution of US commercial insights strategy", "postedDate" : "2026-06-15T10:26:15.737", "createdAt" : "2026-06-15T10:26:15.737", "lastUpdated" : "2026-06-16T12:36:38.199", "ingestTimestamp" : "2026-06-16T03:21:47.336", "mongoId" : "6a305117f292fd229cef9627", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Qualitative research", "Quantitative research", "Data synthesis", "Critical thinking", "Commercial insights strategy", "Market research", "Actionable recommendations", "Commercial strategy", "Market development", "Go-to-market strategies", "Competitive intelligence", "Commercial execution", "Rare disease", "Rheumatology", "Pharmaceutical data", "Commercial research" ], "skillCount" : 16, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 928.5754, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e425f8b1b0376634c612", "title" : "Applied Scientist, Financial Insights and Actions", "company" : "Amazon Development Centre Canada ULC", "industry" : "Data Science, Applied Science, ecp", "salary" : { "min" : 149300.0, "max" : 249300.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, CAN", "locations" : [ "Vancouver, British Columbia, CAN" ], "timestamp" : "2026-06-15T05:30:38.045", "fingerprint" : "737d99f0ecbd367773e7e0b150c46aab09bd6cc0dcb47b3e5bcb9c4bc61ab181", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3073811/apply", "externalId" : "67fc366e-6490-4a9b-b3d7-01ae4a830300", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "GenAI, LLMs, Python", "professionalSkills" : [ "Financial analysis", "Accounting", "Business intelligence" ], "hardSkillsList" : [ "Machine learning", "Data mining", "Statistical algorithms", "Anomaly detection", "Model development", "Model validation", "Model fine-tuning", "Agentic solutions" ], "softSkillsList" : [ "Written communication", "Verbal communication" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Statistical algorithms", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "Model development", "level" : "intermediate" }, { "name" : "Model validation", "level" : "intermediate" }, { "name" : "Model fine-tuning", "level" : "intermediate" }, { "name" : "Agentic solutions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Written communication" }, { "name" : "Verbal communication" } ], "majorSkills" : "Machine learning, GenAI, LLMs, Financial insights", "majorSkillsList" : [ "Machine learning", "GenAI", "LLMs", "Financial insights" ], "coreResponsibilities" : "Leverage GenAI/LLMs build agentic solutions, Build AI trust and safety, Establish scalable, efficient, automated processes, Develop training/evaluation datasets, Collaborate with engineering productionalize research, Develop anomaly detection models, Build multi-agent systems, Fine-tune LLMs provide recommendations", "teamCollaboration" : "Domain experts; Engineers; Scientists; Product Managers; Accounting stakeholders", "domainKnowledge" : "Financial domain; Accounting processes", "domainList" : [ "financial-domain", "accounting-processes" ], "domainSpecificKnowledge" : [ "Financial domain", "Accounting processes" ], "communicationSkills" : "Written communication; Verbal communication", "innovationCreativity" : "Scientific research; Publishing papers", "problemSolvingSkills" : "Business problems", "qualificationsBasic" : "3+ years business problems ML, 3+ years programming Java, C++, Python, PhD or Master's degree, 4+ years CS, CE, ML experience, Experience algorithms and data structures, Experience parsing, Experience numerical optimization, Experience data mining, Experience parallel and distributed computing, Experience high-performance computing, Experience patents or publications", "qualificationsPreferred" : "PhD preferred, Experience applying theoretical models", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you interested in changing the way accounting and finance works at Amazon? We are a science and engineering team leveraging ML models and GenAI/LLMs to solve real-world problems faced by accountants and financial analysts. We are part of the Amazon Financials Foundation Services (AFFS) organization. AFFS is responsible for processing and managing billions of financially relevant transactions sent globally from across Amazon each day, including orders, shipments, payments, and inventory movements. AFFS is at the center of Amazon's key initiatives and fuels the growth of Amazon's businesses worldwide by ensuring that businesses can easily integrate with our services and that accountants and financial analysts have the right tools to use our data. As an Applied Scientist, you'll work alongside domain experts, engineers, and other scientists to understand business problems, propose scientific solutions, and deploy them to production. You'll work on scientific initiatives for accelerating reconciliation, standardization, and onboarding. This includes: - Leveraging GenAI/LLMs to build agentic solutions to accelerate accounting-related research/tasks and produce proactive insights. - Building AI trust and safety in the financial domain. - Establishing scalable, efficient, automated processes for large-scale data analysis, machine learning model development, model validation, and serving. - Developing training/evaluation datasets for model fine-tuning. - Collaborating with engineering to productionalize research. Specific examples of this work include developing anomaly detection models to identify deviations in payments, building multi-agent systems to perform financial research or onboard new businesses, and fine-tuning LLMs to provide recommendations on next steps. As an interdisciplinary team, we maintain a balance between scientific research and productionalization. This means, you'll get a unique opportunity to influence the global scientific community by publishing papers externally and internally while also seeing your work used across Amazon. You will need to have a start-up like mindset, as you will be working an in a highly iterative and collaborative environment with SDEs, Product Managers, and Accounting stakeholders to propose ideas, experiment, and scale rapidly. You should have a keen eye for what a good user experience should look like, possess excellent written and verbal communication, and have a keen interest in learning about accounting and financial processes. Basic Qualifications: - 3+ years of solving business problems through machine learning, data mining and statistical algorithms experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - 3+ years of programming in Java, C++, Python or related language experience - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience applying theoretical models in an applied environment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary for this position ranges from $149,300/year up to $249,300/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, Financial Insights and Actions at Amazon Development Centre Canada ULC. Skills: Machine learning, GenAI, LLMs, Financial insights. Leverage GenAI/LLMs build agentic solutions. Build AI trust and safety", "postedDate" : "2026-06-13T17:08:05.421", "createdAt" : "2026-06-13T17:08:05.421", "lastUpdated" : "2026-06-15T05:30:38.045", "ingestTimestamp" : "2026-06-13T17:08:05.421", "mongoId" : "68c2e425f8b1b0376634c612", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3073811/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Machine learning", "Data mining", "Statistical algorithms", "Anomaly detection", "Model development", "Model validation", "Model fine-tuning", "Agentic solutions", "Written communication", "Verbal communication", "GenAI", "LLMs", "Financial insights", "Financial analysis", "Accounting", "Business intelligence", "Financial domain", "Accounting processes" ], "skillCount" : 18, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "_score" : 925.65076, "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, "_score" : 845.4827, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e425f8b1b0376634c611", "title" : "Sr. Applied Scientist, Financial Insights and Actions", "company" : "Amazon Development Centre Canada ULC", "industry" : "Data Science, Applied Science, ecp", "salary" : { "min" : 195900.0, "max" : 327200.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, CAN", "locations" : [ "Vancouver, British Columbia, CAN" ], "timestamp" : "2026-06-15T02:50:50.803", "fingerprint" : "90ec9c441a06a19c5d2b4c2a3d8d852aae8f09a90723afa93c472a9806b6e615", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3073810/apply", "externalId" : "657e7d3d-2f15-4c56-8767-ceeeb2f6db26", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, C++, Python, Neural deep learning, Machine learning, R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, Spark, GenAI, LLMs", "professionalSkills" : [ "Financial Insights", "Financial Actions", "Accounting research", "Financial research", "Financial domain" ], "hardSkillsList" : [ "Data analysis", "Model development", "Model validation", "Model serving", "Anomaly detection", "Multi-agent systems", "LLM fine-tuning" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Model development", "level" : "intermediate" }, { "name" : "Model validation", "level" : "intermediate" }, { "name" : "Model serving", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "Multi-agent systems", "level" : "intermediate" }, { "name" : "LLM fine-tuning", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Machine learning, GenAI, LLMs, Financial analysis", "majorSkillsList" : [ "Machine learning", "GenAI", "LLMs", "Financial analysis" ], "coreResponsibilities" : "Leverage GenAI/LLMs build agentic solutions, Build AI trust safety, Establish scalable automated processes, Develop training evaluation datasets, Collaborate with engineering productionalize research, Define science direction, Influence senior leadership, Mentor grow scientists, Develop anomaly detection models, Build multi-agent systems, Fine-tune LLMs provide recommendations", "teamCollaboration" : "Domain experts; Engineers; Scientists; SDEs; Product Managers; Accounting stakeholders", "domainKnowledge" : "Accounting; Finance; Financial transactions; Financial processes", "domainList" : [ "accounting", "finance", "financial-transactions", "financial-processes" ], "domainSpecificKnowledge" : [ "Accounting", "Finance", "Financial transactions", "Financial processes" ], "toolProficiency" : [ "scikit-learn", "Spark MLLib", "Tensorflow", "Hadoop", "Spark" ], "communicationSkills" : "Written communication; Verbal communication", "innovationCreativity" : "Scientific research; Publishing papers", "problemSolvingSkills" : "Scientific solutions", "qualificationsBasic" : "3+ years ML models business application, PhD or Master's degree, 6+ years applied research experience, Experience programming Java, C++, Python, Experience neural deep learning methods, Experience machine learning", "qualificationsPreferred" : "Experience modeling tools R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Experience large scale distributed systems Hadoop, Spark", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you interested in changing the way accounting and finance works at Amazon? We are a science and engineering team leveraging ML models and GenAI/LLMs to solve real-world problems faced by accountants and financial analysts. We are part of the Amazon Financials Foundation Services (AFFS) organization. AFFS is responsible for processing and managing billions of financially relevant transactions sent globally from across Amazon each day, including orders, shipments, payments, and inventory movements. AFFS is at the center of Amazon's key initiatives and fuels the growth of Amazon's businesses worldwide by ensuring that businesses can easily integrate with our services and that accountants and financial analysts have the right tools to use our data. As an Sr. Applied Scientist, you'll work alongside domain experts, engineers, and other scientists to understand business problems, propose scientific solutions, and deploy them to production. You'll work on scientific initiatives for accelerating reconciliation, standardization, and onboarding. This includes: - Leveraging GenAI/LLMs to build agentic solutions to accelerate accounting-related research/tasks and produce proactive insights. - Building AI trust and safety in the financial domain. - Establishing scalable, efficient, automated processes for large-scale data analysis, machine learning model development, model validation, and serving. - Developing training/evaluation datasets for model fine-tuning. - Collaborating with engineering to productionalize research. - Defining the science direction of the organization and influencing/interacting with senior leadership across Amazon. - Mentoring and growing scientists within the team. Specific examples of this work include developing anomaly detection models to identify deviations in payments, building multi-agent systems to perform financial research or onboard new businesses, and fine-tuning LLMs to provide recommendations on next steps. As an interdisciplinary team, we maintain a balance between scientific research and productionalization. This means, you'll get a unique opportunity to influence the global scientific community by publishing papers externally and internally while also seeing your work used across Amazon. You will need to have a start-up like mindset, as you will be working an in a highly iterative and collaborative environment with SDEs, Product Managers, and Accounting stakeholders to propose ideas, experiment, and scale rapidly. You should have a keen eye for what a good user experience should look like, possess excellent written and verbal communication, and have a keen interest in learning about accounting and financial processes. Basic Qualifications: - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. 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 $195,900/year up to $327,200/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" : "Sr. Applied Scientist, Financial Insights and Actions at Amazon Development Centre Canada ULC. Skills: Machine learning, GenAI, LLMs, Financial analysis. Leverage GenAI/LLMs build agentic solutions. Build AI trust safety", "postedDate" : "2026-06-13T07:38:09.940", "createdAt" : "2026-06-13T07:38:09.940", "lastUpdated" : "2026-06-15T02:50:50.803", "ingestTimestamp" : "2026-06-13T07:38:09.940", "mongoId" : "68c2e425f8b1b0376634c611", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3073810/apply", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Model development", "Model validation", "Model serving", "Anomaly detection", "Multi-agent systems", "LLM fine-tuning", "Mentoring", "Machine learning", "GenAI", "LLMs", "Financial analysis", "Financial Insights", "Financial Actions", "Accounting research", "Financial research", "Financial domain", "Accounting", "Finance", "Financial transactions", "Financial processes", "scikit-learn", "Spark MLLib", "Tensorflow", "Hadoop", "Spark" ], "skillCount" : 26, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 840.82776, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69fd04b04c40e2acd1ae5db6", "title" : "Internship – Nuclear Insights into Ocean Alkalinity", "company" : "IAEA", "industry" : "Government", "salary" : { "min" : 15000.0, "max" : 25000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in Monaco, adjusted for the climate tech industry." }, "location" : "Monaco-Monaco-Monaco-IAEA Environment Laboratories in Monaco", "locations" : [ "Monaco-Monaco-Monaco-IAEA Environment Laboratories in Monaco", "2026-05-28, 11:59:00 PM" ], "timestamp" : "2026-06-16T02:29:37.292", "fingerprint" : "a63cf5e25ad269a77925d81db2227d480d5e2ee2e7cb8599a208fbce569f15bf", "source" : "taleo", "language" : "en", "applyUrl" : "https://iaea.taleo.net/careersection/ex/jobdetail.ftl?job=1314728", "externalId" : "1314728", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Monaco", "state" : "Monaco", "country" : "Monaco", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "43.7309697,7.4248152" } ], "locationText" : "Monaco, Monaco, Monaco", "employmentType" : "INTERNSHIP", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "NAML-Radioecology Laboratory Monaco-Monaco-Monaco-IAEA Environment Laboratories in Monaco", "summaryDescription" : "Internship – Nuclear Insights into Ocean Alkalinity at IAEA", "createdAt" : "2026-06-14T19:48:41.011", "lastUpdated" : "2026-06-16T02:29:37.292", "ingestTimestamp" : "2026-06-14T19:48:41.011", "mongoId" : "69fd04b04c40e2acd1ae5db6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "_score" : 836.6947, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.85 }, { "id" : "6a2c5fdb74d8ee00a08ef446", "title" : "Insights Manager II", "company" : "Instacart", "industry" : "Grocery", "salary" : { "min" : 133000.0, "max" : 140500.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "timestamp" : "2026-06-15T01:50:26.740", "fingerprint" : "90b8e3023f830d1358cba8616ae5cdfd950e6024c51e1990e6f4c7ce8984acfc", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://instacart.careers/job/?gh_jid=8001891", "externalId" : "8001891", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Excel", "professionalSkills" : [ "Business strategy", "Data storytelling", "Commercial impact", "Category intelligence" ], "hardSkillsList" : [ "Analytical reasoning", "Data visualization" ], "hardSkills" : [ { "name" : "Analytical reasoning", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Business intelligence, Retail partnerships", "majorSkillsList" : [ "Data analysis", "Business intelligence", "Retail partnerships" ], "coreResponsibilities" : "Translate business questions into answers, Develop actionable strategies, Build trusted analytical foundation, Proactively seek insights, Find root causes, Conduct deep-dive analyses, Influence partner business operations, Craft business cases, Prepare quarterly business reviews, Build internal tools, Improve internal frameworks, Develop internal narratives, Serve as subject matter expert", "teamCollaboration" : "Business Development; Retail partners; Cross-functional teams", "domainKnowledge" : "Grocery industry; CPG categories; Online marketplaces", "domainList" : [ "grocery-industry", "cpg-categories", "online-marketplaces" ], "domainSpecificKnowledge" : [ "Grocery industry", "CPG categories", "Online marketplaces" ], "toolProficiency" : [ "SQL", "Excel" ], "communicationSkills" : "Storytelling; Boardroom presentation", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Retail partners make faster decisions; Retail partners make better decisions; Insights are proactively sought; Deep-dive analyses influence operations; Business cases land with impact; QBRs land with impact; Sell-in conversations land with impact; Stakeholders move from data to direction; Expertise shapes strategy", "qualificationsBasic" : "3+ years quantitative business strategy, Proficiency with SQL, Proficiency with Excel, Proficiency with data visualization tools, Analytical reasoning, Polished communication skills, Manage senior stakeholder relationships", "qualificationsPreferred" : "Experience in retail, Experience in e-commerce, Experience in grocery, Familiarity with online marketplaces, Familiarity with CPG categories, Experience building business cases, Presenting to external partners", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. WHY THIS ROLE IS ON THE MENU Instacart's Retail Insights team sits at the intersection of the industry's richest grocery data, our most strategic retail partnerships, and the CPG category intelligence that powers growth across the platform. As our retailer relationships scale and the complexity of our business deepens, we need someone who can turn that data into decisions — not just reports. We're hiring an Insights Manager II to serve as the analytical backbone for a portfolio of key grocery retail partners, translating ambiguous business questions into clear answers and actionable strategies. This role sits at the intersection of data, storytelling, and commercial impact, and the person who fills it will have a direct line of sight to how Instacart grows its most important partnerships. WHAT YOU'LL COOK UP IN YOUR FIRST YEAR Retail partners make faster, better decisions because of your work. You've built a trusted analytical foundation — your insights are proactively sought out by Business Development and retail partners alike, not just delivered on request. Root causes get found, not just flagged. When performance dips or opportunities surface, you've established a reputation for going deeper than the dashboard — your deep-dive analyses have directly influenced how partners run their business on Instacart. QBRs and sell-in conversations land with impact. You've partnered with Business Development to craft business cases and quarterly business reviews that are analytically rigorous, narratively compelling, and tied to outcomes retailers care about. Cross-functional teams are better equipped to answer \"why\" and \"what's next.\" You've built or improved internal tools, frameworks, and narratives that help stakeholders move from raw data to clear direction — and the \"so what\" is never left unanswered. You're the go-to expert on your category and partner landscape. Internal teams rely on you as the subject matter expert on macro business, operational, and customer trends across your set of retailers — and that expertise shapes strategy, not just reporting. THE SECRET INGREDIENTS WE'RE LOOKING FOR You think in outcomes, not outputs. You're as comfortable in a SQL query as you are in a boardroom presentation, and you know that neither matters unless the insight lands with the right person at the right moment. Must-have pantry staples (Minimum Qualifications) 3+ years of experience in a quantitative business strategy role — consulting, banking, analytics, or similar. Proficiency with SQL (complex, efficient queries), Excel, and data visualization tools. Strong analytical reasoning: ability to work through ambiguous problems step by step and surface the \"so what.\" Polished communication skills and proven ability to manage senior stakeholder relationships, both internal and external. A self-starter orientation — you don't wait to be handed a problem; you identify it, frame it, and drive toward an answer. Optional garnishes (Preferred Qualifications) Experience in retail, e-commerce, or grocery — familiarity with the dynamics of online marketplaces or CPG categories is a meaningful accelerant. Experience building business cases or presenting to external partners or clients. #LI-Remote Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here. For Canadian based candidates, the base pay ranges for a successful candidate are listed below. CAN $133,000—$140,500 CAD", "summaryDescription" : "Insights Manager II at Instacart. Skills: Data analysis, Business intelligence, Retail partnerships. Translate business questions into answers. Develop actionable strategies", "postedDate" : "2026-06-12T22:25:52.654", "createdAt" : "2026-06-12T22:25:52.654", "lastUpdated" : "2026-06-15T01:50:26.740", "ingestTimestamp" : "2026-06-12T22:25:52.654", "mongoId" : "6a2c5fdb74d8ee00a08ef446", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Analytical reasoning", "Data visualization", "Data analysis", "Business intelligence", "Retail partnerships", "Business strategy", "Data storytelling", "Commercial impact", "Category intelligence", "Grocery industry", "CPG categories", "Online marketplaces", "SQL", "Excel" ], "skillCount" : 14, "jobCategory" : "other", "jobSubcategory" : "commercial-excellence", "dataQualityScore" : 0.8888889, "_score" : 805.24646, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Grocery" }, { "id" : "6a2ca54074d8ee00a09b56cd", "title" : "Senior Manager, Practice Insights & Operations Transformation", "company" : "Gibson Dunn", "industry" : "Legal", "salary" : { "min" : 215000.0, "max" : 315000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Senior Manager in the Legal industry in Century City, United States, adjusted for seniority and company size." }, "location" : "Century City", "locations" : [ "Century City", "Dallas", "Denver", "Houston", "Los Angeles", "New York City", "Orange County", "Palo Alto", "San Francisco", "Washington", "D.C." ], "timestamp" : "2026-06-16T03:35:16.887", "fingerprint" : "ecb363c3c22c302de467c092c58c3120492312408407a6f47bd4bf5f47187f65", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gibsondunn/jobs/4253506009", "externalId" : "4253506009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Century City", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0573590,-118.4146125" } ], "locationText" : "Century City, California, United States", "minimumEducation" : "Bachelor's", "experienceLevel" : "Manager", "qualificationsBasic" : "Bachelor's degree required", "rawDescription" : "Based in any U. S. office, the Senior Manager, Practice Insights bachelor’s degree required. Gibson Dunn will consider for employment qualified Applicants with Criminal Histories in a manner consistent with the requirements of local law. Compensation retirement benefits; paid days off, including sick time, and vacation time; parental leave; basic life insurance; Flexible Spending Accounts; as well as discretionary, performance-based bonuses. The application window will close on Tuesday, August 18, 2026. ______ For technical difficulties with our online application, please contact us at staffrecruiting@gibsondunn.com. Our recruiting support team will respond as soon as possible. ______ Gibson Dunn is committed to ensuring equal employment opportunities for all qualified applicants, including individuals with disabilities. We strive to ensure an inclusive and accessible hiring experience. The Firm will provide reasonable accommodations to qualified individuals with disabilities to enable participation in the application and recruitment process, unless doing so would impose an undue hardship, in accordance with applicable laws and regulations. If you require a reasonable accommodation to complete an application, participate in an interview, or otherwise take part in the recruitment process, please contact us at recruiting-accommodations@gibsondunn.com. Please note, this is a dedicated email inbox established exclusively to assist applicants with accommodation request related to the recruitment process. Inquiries about the status of an application or other non-accommodation matter will not receive a response.", "summaryDescription" : "Senior Manager, Practice Insights & Operations Transformation at Gibson Dunn", "postedDate" : "2026-06-14T20:12:37.910", "createdAt" : "2026-06-14T20:12:37.910", "lastUpdated" : "2026-06-16T03:35:16.887", "ingestTimestamp" : "2026-06-14T20:12:37.910", "mongoId" : "6a2ca54074d8ee00a09b56cd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 215000, "salaryAnnualMax" : 315000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "_score" : 798.0597, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Legal", "llmIndustryConfidence" : 0.92 }, { "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, "_score" : 795.8552, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c5fdb74d8ee00a08ef447", "title" : "Insights Manager II", "company" : "Instacart", "industry" : "Grocery", "salary" : { "min" : 128000.0, "max" : 161500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "timestamp" : "2026-06-15T00:29:08.213", "fingerprint" : "f6369da8098f8593ab7ab140ee7a0c687b8408da90fcad17fc681573f96717e9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://instacart.careers/job/?gh_jid=8001889", "externalId" : "8001889", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceLevel" : "Manager", "technicalSkills" : "SQL", "professionalSkills" : [ "Business strategy", "Data storytelling", "Commercial impact" ], "hardSkillsList" : [ "Analytical reasoning", "Deep-dive analyses" ], "hardSkills" : [ { "name" : "Analytical reasoning", "level" : "intermediate" }, { "name" : "Deep-dive analyses", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Business intelligence, Retail insights", "majorSkillsList" : [ "Data analysis", "Business intelligence", "Retail insights" ], "coreResponsibilities" : "Translate ambiguous business questions, Develop actionable strategies, Build trusted analytical foundation, Find root causes, Conduct deep-dive analyses, Influence partner business operations, Craft business cases, Prepare quarterly business reviews, Build internal tools, Improve internal frameworks, Develop internal narratives, Serve as subject matter expert", "teamCollaboration" : "Cross-functional teams; Business Development; Retail partners", "domainKnowledge" : "Grocery industry; Retail partnerships; CPG category intelligence; Online marketplaces; CPG categories; Macro business trends; Operational trends; Customer trends", "domainList" : [ "grocery-industry", "retail-partnerships", "cpg-category-intelligence", "online-marketplaces", "cpg-categories", "macro-business-trends", "operational-trends", "customer-trends" ], "domainSpecificKnowledge" : [ "Grocery industry", "Retail partnerships", "CPG category intelligence", "Online marketplaces", "CPG categories", "Macro business trends", "Operational trends", "Customer trends" ], "toolProficiency" : [ "Excel", "Data visualization tools" ], "communicationSkills" : "Storytelling; Boardroom presentations", "problemSolvingSkills" : "Ambiguous problems", "outcomesObjectives" : "Retail partners make faster decisions; Retail partners make better decisions; Insights proactively sought; Influence how partners run business", "qualificationsBasic" : "3+ years quantitative business strategy, Proficiency with SQL, Proficiency with Excel, Proficiency with data visualization tools, Analytical reasoning, Polished communication skills, Manage senior stakeholder relationships", "qualificationsPreferred" : "Experience in retail, Experience in e-commerce, Experience in grocery, Familiarity with online marketplaces, Familiarity with CPG categories, Experience building business cases, Presenting to external partners, Presenting to clients", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. WHY THIS ROLE IS ON THE MENU Instacart's Retail Insights team sits at the intersection of the industry's richest grocery data, our most strategic retail partnerships, and the CPG category intelligence that powers growth across the platform. As our retailer relationships scale and the complexity of our business deepens, we need someone who can turn that data into decisions — not just reports. We're hiring an Insights Manager II to serve as the analytical backbone for a portfolio of key grocery retail partners, translating ambiguous business questions into clear answers and actionable strategies. This role sits at the intersection of data, storytelling, and commercial impact, and the person who fills it will have a direct line of sight to how Instacart grows its most important partnerships. WHAT YOU'LL COOK UP IN YOUR FIRST YEAR Retail partners make faster, better decisions because of your work. You've built a trusted analytical foundation — your insights are proactively sought out by Business Development and retail partners alike, not just delivered on request. Root causes get found, not just flagged. When performance dips or opportunities surface, you've established a reputation for going deeper than the dashboard — your deep-dive analyses have directly influenced how partners run their business on Instacart. QBRs and sell-in conversations land with impact. You've partnered with Business Development to craft business cases and quarterly business reviews that are analytically rigorous, narratively compelling, and tied to outcomes retailers care about. Cross-functional teams are better equipped to answer \"why\" and \"what's next.\" You've built or improved internal tools, frameworks, and narratives that help stakeholders move from raw data to clear direction — and the \"so what\" is never left unanswered. You're the go-to expert on your category and partner landscape. Internal teams rely on you as the subject matter expert on macro business, operational, and customer trends across your set of retailers — and that expertise shapes strategy, not just reporting. THE SECRET INGREDIENTS WE'RE LOOKING FOR You think in outcomes, not outputs. You're as comfortable in a SQL query as you are in a boardroom presentation, and you know that neither matters unless the insight lands with the right person at the right moment. Must-have pantry staples (Minimum Qualifications) 3+ years of experience in a quantitative business strategy role — consulting, banking, analytics, or similar. Proficiency with SQL (complex, efficient queries), Excel, and data visualization tools. Strong analytical reasoning: ability to work through ambiguous problems step by step and surface the \"so what.\" Polished communication skills and proven ability to manage senior stakeholder relationships, both internal and external. A self-starter orientation — you don't wait to be handed a problem; you identify it, frame it, and drive toward an answer. Optional garnishes (Preferred Qualifications) Experience in retail, e-commerce, or grocery — familiarity with the dynamics of online marketplaces or CPG categories is a meaningful accelerant. Experience building business cases or presenting to external partners or clients. #LI-Remote Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here. For US based candidates, the base pay ranges for a successful candidate are listed below. CA, NY, CT, NJ $153,000—$161,500 USD WA $147,000—$155,000 USD OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI $140,000—$148,000 USD All other states $128,000—$135,000 USD", "summaryDescription" : "Insights Manager II at Instacart. Skills: Data analysis, Business intelligence, Retail insights. Translate ambiguous business questions. Develop actionable strategies", "postedDate" : "2026-06-12T22:12:01.604", "createdAt" : "2026-06-12T22:12:01.604", "lastUpdated" : "2026-06-15T00:29:08.213", "ingestTimestamp" : "2026-06-12T22:12:01.604", "mongoId" : "6a2c5fdb74d8ee00a08ef447", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 128000, "salaryAnnualMax" : 161500, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Analytical reasoning", "Deep-dive analyses", "Data analysis", "Business intelligence", "Retail insights", "Business strategy", "Data storytelling", "Commercial impact", "Grocery industry", "Retail partnerships", "CPG category intelligence", "Online marketplaces", "CPG categories", "Macro business trends", "Operational trends", "Customer trends", "Excel", "Data visualization tools" ], "skillCount" : 18, "jobCategory" : "other", "jobSubcategory" : "commercial-excellence", "dataQualityScore" : 0.8888889, "_score" : 786.5746, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Grocery" }, { "id" : "6a2a486d74d8ee00a05df69e", "title" : "Senior Data Engineer - Data Insights", "company" : "Appfire", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data Engineer in the US Technology industry, adjusted for remote work and seniority." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-13T09:20:55.282", "fingerprint" : "7cb2871c58c3bc83e19ad6f10e80025ca9ab0f681535df22e2e9322f47b0bf42", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/appfire/jobs/4702183005", "externalId" : "4702183005", "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, AWS, Snowflake, Terraform, Docker, Airflow, dbt, Fivetran, LLMs", "professionalSkills" : [ "Data warehousing", "Agile software development", "Data governance", "Data quality", "Data classification", "Data security", "System design" ], "hardSkillsList" : [ "ETL development", "Reverse ETL", "API integration", "Schema drift management", "Data ingestion", "Data quality checks", "PII management", "Automated data classification", "Masking policies", "Row-level security", "Column-level security", "Monitoring solutions" ], "softSkillsList" : [ "Leadership", "Mentorship" ], "hardSkills" : [ { "name" : "ETL development", "level" : "intermediate" }, { "name" : "Reverse ETL", "level" : "intermediate" }, { "name" : "API integration", "level" : "intermediate" }, { "name" : "Schema drift management", "level" : "intermediate" }, { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "Data quality checks", "level" : "intermediate" }, { "name" : "PII management", "level" : "intermediate" }, { "name" : "Automated data classification", "level" : "intermediate" }, { "name" : "Masking policies", "level" : "intermediate" }, { "name" : "Row-level security", "level" : "intermediate" }, { "name" : "Column-level security", "level" : "intermediate" }, { "name" : "Monitoring solutions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentorship" } ], "majorSkills" : "Data engineering, Cloud infrastructure, Data platform architecture", "majorSkillsList" : [ "Data engineering", "Cloud infrastructure", "Data platform architecture" ], "coreResponsibilities" : "Own solution development lifecycle, Build Proof of Concepts, Build Minimum Viable Products, Iterate production solutions, Stand up data delivery solutions, Optimize data delivery solutions, Build data pipelines, Manage data pipelines, Scale data pipelines, Develop integration patterns, Develop custom data pipelines, Interface with APIs, Architect data solutions, Maintain data solutions, Maintain cloud infrastructure, Evolve custom data lake, Manage Fivetran operations, Manage custom pipeline operations, Handle schema drift, Implement data quality checks, Spearhead AI adoption, Automate Pull Requests, Enforce 'definition of done', Accelerate CI/CD, Accelerate test coverage, Accelerate release management, Integrate AI capabilities, Interface with LLMs, Develop intelligent assistants, Develop intelligent agents, Drive proof-of-concepts, Implement PII management, Apply masking policies, Enforce row-level security, Enforce column-level security, Develop monitoring solutions, Deploy governance strategies, Lead data projects, Gather requirements, Conduct UAT, Deploy to production, Champion best practices, Reduce technical debt, Write documentation, Provide technical mentorship, Provide soft-skill mentorship", "teamCollaboration" : "Internal partners; External partners; Business teams; Analytics teams; Engineering teams; Cross-departmental projects", "projectManagementSkills" : [ "Agile", "Project leadership", "Multitasking" ], "domainKnowledge" : "Data lifecycle; Data warehousing; Cloud infrastructure; Data lake; Data governance; Data security; AI development practices; LLM integration", "domainList" : [ "data-lifecycle", "data-warehousing", "cloud-infrastructure", "data-lake", "data-governance", "data-security", "ai-development-practices", "llm-integration" ], "domainSpecificKnowledge" : [ "Data lifecycle", "Data warehousing", "Cloud infrastructure", "Data lake", "Data governance", "Data security", "AI development practices", "LLM integration" ], "toolProficiency" : [ "Airflow", "Fivetran", "Terraform", "Docker", "Snowflake", "dbt" ], "communicationSkills" : "Translate technical architectures", "documentationSkills" : "Write documentation", "continuousLearning" : "Appfire University", "innovationCreativity" : "Introduce modern practices; Continuous innovation; Proof-of-concepts", "problemSolvingSkills" : "Solve complex data puzzles; Resolve edge cases", "outcomesObjectives" : "Ensure stability and performance; Empower company-wide decision-making; Ensure accurate data ingestion; Ensure secure data availability", "qualificationsBasic" : "5+ years data engineering role, 5+ years building data products, 5+ years advanced SQL, 5+ years complex ETL/ELT, 5+ years advanced Python, 5+ years AWS cloud environments, 5+ years Terraform, 5+ years Docker, 3+ years dbt", "qualificationsPreferred" : "Kubernetes experience a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "At Appfire, we believe that great work happens when people get to choose how they work. After 20 years of creating software that empowers teams to break silos and collaborate seamlessly, we've learned that one size does not fit all. We’re a team of 800+ employees, working remotely across 28 countries. Our flagship products include: Appfire Flow, JXL, Comala Document Management, 7Pace Time Tracker, Jira Misc Workflow Extensions, and BigPicture. Here you can read some of our customer stories: https://appfire.com/resources/resource-library/customer-stories About the role: Data is the fuel behind Appfire's global footprint. We’ve grown fast, and now our focus has shifted toward building the most mature, high-performing data platform in our industry. We are looking for a Senior Data Engineer to take ownership of our core infrastructure, champion engineering excellence, and help shape the future of our data ecosystem. Leveraging your expert Python, SQL, and cloud infrastructure skills, you will develop pragmatic architectures that ensure stability and performance across the organization. As a key member of our central data insights team, you will evolve our custom data lake (\"firelake\" built on AWS and Snowflake). To accelerate our platform optimization efforts, you will ruthlessly eliminate technical debt, resolve edge cases, and introduce modern, AI-driven development practices. This isn't just about maintaining pipelines; it's about architecting a highly secure, resilient, and scalable foundation that empowers company-wide decision-making. If you love solving complex data puzzles, driving overarching data strategy, and seeing the direct impact of your work across an entire organization, let's talk. What you’ll do: Data Delivery Solution Lifecycle Ownership: Own the complete solution development lifecycle, from driving initial requirements to building Proof of Concepts (POCs) and Minimum Viable Products (MVPs), and continuously iterating to improve and scale production solutions. Data Delivery & Pipelines: Work closely with internal and external partners to stand up and optimize robust data delivery solutions. Build, manage, and scale complex data pipelines (ETL and reverse ETL) utilizing expert-level Python and Airflow. Custom Integrations: Develop standard integration patterns as well as custom data pipelines that interface with atypical APIs to efficiently extend our data delivery capabilities. Data Platform & Infrastructure Pragmatic Architecture: Architect and maintain highly efficient, cost-effective scalable data solutions and cloud infrastructure from scratch. Platform Evolution: Be the key driver in the evolution of our custom data lake (\"firelake\" built on AWS/Snowflake), serving as the ultimate subject matter expert on our tech stack and data infrastructure. Ingestion & Data Quality: Manage Fivetran and custom pipeline operations, proactively handle schema drift, and implement rigorous data quality checks to ensure we have ingested a true and accurate representation of all source systems. AI & Modern Engineering AI-Driven Efficiencies: Spearhead AI adoption in our daily engineering workflows to automate Pull Requests, enforce new \"definition of done\" standards, and accelerate CI/CD, test coverage, and release management. AI Implementation: Drive the integration of AI capabilities directly into our data solutions by interfacing with LLMs and developing intelligent assistants and agents to solve complex business problems. Continuous Innovation: Stay on the forefront of the rapidly evolving data landscape and drive proof-of-concepts for new tools to ensure we leverage best-in-class technologies to scale quickly. Data Governance & Security PII & Security Management: Implement advanced PII management by leveraging automated data classification techniques, applying masking policies, and enforcing sophisticated row-level and column-level security practices. Proactive Governance: Develop and deploy robust monitoring solutions and governance strategies to ensure accurate, secure data is available on time and to the correct audience. Leadership & Collaboration End-to-End Ownership: Autonomously lead 3-5 concurrent cross-departmental data projects, driving everything from requirements gathering and UAT to production deployment. Strategic Communication: Partner seamlessly with business, analytics, and engineering teams, translating complex technical architectures into relatable concepts to influence stakeholders and align goals. Engineering Excellence & Mentorship: Champion best practices, systematically reduce technical debt, write clear documentation, and provide both technical and soft-skill mentorship to junior team members. What you'll need: Engineering Background: 5+ years in a data or software engineering role with a deep understanding of the full data lifecycle, modern data warehousing, and agile software development best practices. Proven Delivery: 5+ years of experience autonomously building scalable data products, pipelines, and solutions that support company-wide systems and overarching business goals. Project Leadership: Exceptional personal organization and multitasking skills, with the ability to work with minimal supervision while driving 3-5 concurrent cross-departmental projects. Technical Expertise Data Warehousing & SQL: 5+ years of advanced SQL optimization and complex ETL/ELT pipeline development, with extensive, hands-on experience in Snowflake. Advanced Python & Development: 5+ years of advanced Python programming. Cloud Infrastructure & IaC: 5+ years of experience designing and maintaining AWS cloud environments. Strong, hands-on proficiency with Terraform and Docker is required. Orchestration & Ingestion: Deep operational experience with Airflow for orchestration, dbt (3+ years) for transformation, and familiarity with managing Fivetran pipelines. Architecture & Practices Pragmatic Architecture: Proven ability to design pragmatic, cost-effective architectures from scratch that prioritize security, scalability, and high performance without over-engineering. Engineering Excellence: Incredibly strong troubleshooting skills with a ruthless dedication to reducing technical debt, optimizing CI/CD pipelines, and enforcing strict version control and testing standards. Data Governance: Solid understanding of modern data governance principles, including automated data classification, PII masking, and row/column-level access controls. Communication & Leadership Strategic Communication: Strong written and verbal skills, with a proven ability to translate and simplify complex technical architectures to both engineering peers and non-technical business stakeholders. Mentorship: A team-oriented mindset with a passion for coaching and providing constructive feedback to junior team members. Bonus Points (Standout Qualifications) MLOps Strategy: Experience in or foundational knowledge of MLOps. You can provide recommendations and establish best practices to guide our strategic expansion into this space. Applied AI: Experience interfacing with LLMs, creating AI agents, or leveraging AI tools to accelerate daily engineering workflows (e.g., automating code reviews, CI/CD enhancements). What we offer: Equity: every Appfire team member is eligible for company equity, fostering a genuine sense of ownership and shared success as we continue to grow. Paid Time Off: we believe in providing the flexibility needed to maintain a healthy work-life balance. Appfire offers: Unlimited Paid Time Off (PTO) 10 paid company holidays annually Health & Wellness Benefits: Appfire provides a comprehensive benefits package designed to support employees and their families: Medical insurance fully covered by Appfire (100% employer-paid) Dental insurance with costs shared 50/50 between Appfire and employees Vision insurance Group Term Life Insurance Voluntary Life Insurance Critical Illness coverage Accident Insurance Long-Term Disability coverage Employee Assistance Program (EAP) In addition, employees are eligible for fitness and wellness reimbursements through our benefits provider. Learning & Development: grow your skills and advance your career through Appfire University, our custom on-demand learning platform designed to support continuous professional development. Community Impact & Volunteering: giving back is an important part of our culture. Every employee receives three fully paid volunteer days per year to participate in our Corporate Social Responsibility (CSR) initiatives and support local communities. Additional Benefits: Appfire offers a range of programs to support employees both professionally and financially: Flexible Spending Accounts (FSA) Monthly remote-work stipend Dedicated Amazon account for ordering approved equipment and peripherals Competitive 401(k) plan with company matching to help build long-term financial security Flexibility That Fits How You Work Best: this role is fully remote and can be performed anywhere within the United States. For those who prefer an office environment—or simply enjoy connecting with colleagues in person—Appfire also offers access to our offices in Boston, Burlington, and New York. Market recognition Appfire has been consistently recognized for company growth, culture, corporate social responsibility, and product excellence and has been included among the Deloitte Technology Fast 500, Inc. Best Workplaces, BuiltIn Best Places to Work, and Inc. 5000. Learn more about our accomplishments, which would not be possible without our team members, partners, and customers: https://appfire.com/awards. Equal Employer Opportunity (EEO) Appfire is an equal opportunity employer and does not discriminate based on race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, veteran status, or any other protected characteristic as defined by applicable law. Our commitment extends to all employment practices, including recruitment, hiring, training, promotion, compensation, benefits, and termination.", "summaryDescription" : "Senior Data Engineer - Data Insights at Appfire. Skills: Data engineering, Cloud infrastructure, Data platform architecture. Own solution development lifecycle. Build Proof of Concepts", "postedDate" : "2026-06-11T17:31:52.348", "createdAt" : "2026-06-11T17:31:52.348", "lastUpdated" : "2026-06-13T09:20:55.282", "ingestTimestamp" : "2026-06-11T17:31:52.348", "mongoId" : "6a2a486d74d8ee00a05df69e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "ETL development", "Reverse ETL", "API integration", "Schema drift management", "Data ingestion", "Data quality checks", "PII management", "Automated data classification", "Masking policies", "Row-level security", "Column-level security", "Monitoring solutions", "Leadership", "Mentorship", "Data engineering", "Cloud infrastructure", "Data platform architecture", "Data warehousing", "Agile software development", "Data governance", "Data quality", "Data classification", "Data security", "System design", "Agile", "Project leadership", "Multitasking", "Data lifecycle", "Data lake", "AI development practices", "LLM integration", "Airflow", "Fivetran", "Terraform", "Docker", "Snowflake", "dbt" ], "skillCount" : 37, "jobCategory" : "other", "jobSubcategory" : "data-insights", "dataQualityScore" : 0.8888889, "_score" : 776.0298, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "id" : "68c2e42bf8b1b0376634c6c9", "title" : "Insights and Measurement Lead", "company" : "Amazon Servicos de Varejo do Brasil Ltda.", "industry" : "Sales, Advertising, Account Management, Professional Services", "salary" : { "min" : 250000.0, "max" : 400000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Insights and Measurement role in Sao Paulo, Brazil, adjusted for the technology industry and onsite work mode." }, "location" : "Sao Paulo, Sao Paulo, BRA", "locations" : [ "Sao Paulo, Sao Paulo, BRA" ], "timestamp" : "2026-06-15T01:15:38.899", "fingerprint" : "da5b7a7ec744849f3a4f158d6390d5984821f202208cdecf30185b6f2cd4ac0d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3076330/apply", "externalId" : "db54b73f-d169-45fd-b915-2bd16cbb9174", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sao Paulo", "state" : "Sao Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "Sao Paulo, Sao Paulo, Brazil", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python, R, SAS, SQL", "professionalSkills" : [ "Data analysis", "Client relationships", "Sales", "Account management", "Retail", "Business partners", "Measurement solutions", "Advertising solutions", "Digital advertising", "Return on investment" ], "hardSkillsList" : [ "Data analysis", "Metric creation", "Statistical techniques", "Regression analysis", "Segmentation", "Machine learning", "Marketing mix modeling", "Attribution frameworks", "Advertising measurement" ], "softSkillsList" : [ "Consultative approach", "Navigate ambiguity", "Solve complex problems", "Thought leadership" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Metric creation", "level" : "intermediate" }, { "name" : "Statistical techniques", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Segmentation", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Marketing mix modeling", "level" : "intermediate" }, { "name" : "Attribution frameworks", "level" : "intermediate" }, { "name" : "Advertising measurement", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Consultative approach" }, { "name" : "Navigate ambiguity" }, { "name" : "Solve complex problems" }, { "name" : "Thought leadership" } ], "majorSkills" : "Insights generation, Measurement strategy, Client relationships", "majorSkillsList" : [ "Insights generation", "Measurement strategy", "Client relationships" ], "coreResponsibilities" : "Leverage data for insights, Generate actionable insights, Own measurement relationships, Partner on learning objectives, Influence business decisions, Present findings consultatively, Collaborate on solutions, Translate concepts to recommendations, Influence sales initiatives, Influence marketing initiatives, Educate stakeholders, Advocate for data-driven decisions, Drive thought leadership, Encourage advertisers to act", "teamCollaboration" : "Internal teams; Cross-functional; Multiple business functions; Multiple geographies; Sales organization; Account management; Retail; Amazon business partners", "domainKnowledge" : "Digital media; AdTech; Advertising; Digital advertising; Advertising measurement; Marketing mix modeling; Attribution frameworks; Statistical techniques; Machine learning", "domainList" : [ "digital-media", "adtech", "advertising", "digital-advertising", "advertising-measurement", "marketing-mix-modeling", "attribution-frameworks", "statistical-techniques", "machine-learning" ], "domainSpecificKnowledge" : [ "Digital media", "AdTech", "Advertising", "Digital advertising", "Advertising measurement", "Marketing mix modeling", "Attribution frameworks", "Statistical techniques", "Machine learning" ], "toolProficiency" : [ "SQL", "Python", "R", "SAS" ], "communicationSkills" : "Presentation skills; Storytelling; Executive presentations", "problemSolvingSkills" : "Solve complex problems; Translate analytical concepts", "outcomesObjectives" : "Deliver best return on investment", "qualificationsBasic" : "Bachelor's degree, 7+ years client-facing data analysis, 5+ years digital media/AdTech, Translate technical analyses, Data-driven storytelling, Presentation skills, Advertising measurement methodologies, Marketing mix modeling, Attribution frameworks, Advanced statistical techniques, Regression analysis, Segmentation, Machine learning, Proficiency in SQL, Analytical tools fluency", "qualificationsPreferred" : "Advanced degree (MBA, Master's), Digital media planning experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Ads operates at the intersection of e-commerce and advertising, offering a rich array of advertising solutions. We partner with advertisers to reach Amazon customers across our owned and operated sites like Prime Video and Twitch, and on other high-quality sites across the web, and on devices. We are currently looking for a highly skilled and motivated Insights and Measurement Lead to help scale our growing advertising business. The Insights and Measurement Lead is a key member of the sales organization at Amazon Ads, taking a consultative approach, building deep relationships with advertisers, sales, account management, retail, and other Amazon business partners to analyze and measure the success of advertisers' performance on Amazon. Key job responsibilities • Leverage Amazon's proprietary data, third-party research, and Ad measurement solutions to generate actionable insights for C-suite marketing leaders. • Own senior-level measurement and insights customer relationships and partner across strategic learning objectives that influence business decision-making • Present findings consultatively, collaborating with internal teams to deliver comprehensive solutions. • Navigate ambiguity, solve complex problems, and translate analytical concepts into actionable recommendations. • Collaborate cross-functionally to influence sales and marketing initiatives across multiple business functions and geographies. • Educate stakeholders on Amazon's insights and measurement offerings through learning sessions, documentation, and whitepapers. • Advocate for data-driven decision-making, driving thought leadership and encouraging advertisers to act on recommendations. A day in the life On a daily basis, Insights and Measurement Lead activities include analyzing and measuring metrics of success for an advertiser business or category, developing data-driven insights and recommendations for executive client leadership, and communicating recommendations in a clear and compelling fashion. The strategic and consultative digital advertising expertise of the Insights and Measurement Lead is critical to delivering the best return on investment for our customers. About the team The Analytics & Insights (A&I) organization leverages Amazon's data to develop actionable insights for advertisers. By providing insights and measurement solutions, A&I enhances marketers' decision-making processes, measurably improving their success on and off Amazon. Basic Qualifications: - Bachelor's degree with 7+ years of experience in client-facing data analysis roles, including 5+ years in digital media/AdTech consulting or advertising with a top agency or brand. - Expertise in translating technical analyses into actionable insights for diverse stakeholders, with excellent data-driven storytelling and presentation skills. - Demonstrated proficiency in advertising measurement methodologies, marketing mix modeling, and attribution frameworks. - Strong understanding of advanced statistical techniques, including regression analysis, segmentation and machine learning. - Proficiency in SQL for complex data manipulation and metric creation, along with fluency in analytical tools (Python, R, SAS, etc.). - Please apply with resume in English Preferred Qualifications: - Advanced degree (MBA, Master's) in Economics, Marketing, Statistics, Advertising, or Business; or equivalent Digital media planning experience. - Experience with advertising publishers, marketing/creative agencies, and campaign management. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Insights and Measurement Lead at Amazon Servicos de Varejo do Brasil Ltda.. Skills: Insights generation, Measurement strategy, Client relationships. Leverage data for insights. Generate actionable insights", "postedDate" : "2026-06-13T07:15:18.470", "createdAt" : "2026-06-13T07:15:18.470", "lastUpdated" : "2026-06-15T01:15:38.899", "ingestTimestamp" : "2026-06-13T07:15:18.470", "mongoId" : "68c2e42bf8b1b0376634c6c9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3076330/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Metric creation", "Statistical techniques", "Regression analysis", "Segmentation", "Machine learning", "Marketing mix modeling", "Attribution frameworks", "Advertising measurement", "Consultative approach", "Navigate ambiguity", "Solve complex problems", "Thought leadership", "Insights generation", "Measurement strategy", "Client relationships", "Sales", "Account management", "Retail", "Business partners", "Measurement solutions", "Advertising solutions", "Digital advertising", "Return on investment", "Digital media", "AdTech", "Advertising", "SQL", "Python", "R", "SAS" ], "skillCount" : 31, "jobCategory" : "marketing", "dataQualityScore" : 1.0, "_score" : 773.65454, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "68b706997fc9a711f0f6fe69", "title" : "Senior Data Analyst, Ads, Sales Enablement & Insights", "company" : "Amazon Advertising", "industry" : "Data Science, Business Intel Engineer, Advertising", "salary" : { "min" : 2500000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Data Analyst in the Technology industry in Bengaluru, India, adjusted for seniority and company size." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T04:24:06.134", "fingerprint" : "54b69ad1004c05cea3d218d7f19b57a3699b2b68dd740fbe67e230d52c94e0d7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3051447/apply", "externalId" : "301d7cb9-36c7-4ad3-b81d-545f8a8790b2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, AI", "professionalSkills" : [ "Business analysis", "Data science", "Business intelligence", "Sales Enablement", "Insights generation", "Advertising initiatives" ], "hardSkillsList" : [ "Data manipulation", "Automation", "Modeling", "Quality control", "Scaling insights" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "Modeling", "level" : "intermediate" }, { "name" : "Quality control", "level" : "intermediate" }, { "name" : "Scaling insights", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Data analysis, Insights, Automation", "majorSkillsList" : [ "Data analysis", "Insights", "Automation" ], "coreResponsibilities" : "Lead critical analytical projects, Shape insights and recommendations, Understand customer advertising problems, Leverage Amazon's first party insights, Leverage third party insights, Identify potential insights solutions, Automate and scale insights, Mentor junior employees, Play active role in maintaining team culture, Collaborate with senior stakeholders, Help advertisers and agencies optimize investment, Grow investment on Amazon Ads, Create and enhance insights, Analyze complex datasets, Identify scaling opportunities, Design and implement quality control processes, Identify opportunities to leverage AI and automation, Maintain documentation and best practices", "teamCollaboration" : "Global stakeholder exposure; Collaborate with engineering teams; Collaborate with senior stakeholders", "domainKnowledge" : "Digital advertising; Media analytics; Ecommerce advertising", "domainList" : [ "digital-advertising", "media-analytics", "ecommerce-advertising" ], "domainSpecificKnowledge" : [ "Digital advertising", "Media analytics", "Ecommerce advertising" ], "communicationSkills" : "Written communication; Verbal communication; Data-driven narratives", "documentationSkills" : "Maintain documentation", "innovationCreativity" : "Leverage AI and automation", "problemSolvingSkills" : "Translate data into insights; Identify scaling opportunities", "qualificationsBasic" : "Bachelor's degree in quantitative discipline, 6+ years of experience in business analysis, data science, or business intelligence, Expert-level SQL skills, Programming skills in Python or R, Business acumen, Experience translating data into insights, Excellent written and verbal communication skills, Global stakeholder exposure, Collaborate with engineering teams, Use SQL and Python to create and enhance insights, Analyze complex datasets, Identify scaling opportunities, Design and implement quality control processes, Identify opportunities to leverage AI and automation, Maintain documentation and best practices", "qualificationsPreferred" : "Master's degree in computer science, Data Science, Engineering, or related field, Prior experience in digital advertising or media analytics, Knowledge of experimentation frameworks, Knowledge of statistical modeling techniques, Experience influencing senior decision-makers", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Advertising exists at the intersection of marketing and ecommerce and offers advertisers a rich array of innovative advertising solutions across Amazon owned properties, as well as third party properties Amazon operates. We believe that advertising, when done well, can greatly enhance the value of the customer experience and generate a positive return on investment for our advertising partners. The Analytics & Insights (A&I) organization develops actionable insights using Amazon’s unique data to influence how advertisers promote their businesses. Our insights enhance their marketing decision-making, leading to them to be measurably more successful with Amazon. The A&I organization consists of a variety of different Practices, which are groups that focus on different approaches to create these insights. Key job responsibilities We are looking for a Senior Analyst to lead critical analytical projects in support of Amazon’s Global Advertising organization. This individual will play a strategic role in shaping insights and recommendations that impact key advertising initiatives. The ideal candidate will be able to understand the customer's advertising problems and leverage Amazon's first party insights to find a solution. The candidate will also be able to leverage third party insights (when necessary). The candidate will identify potential insights solutions to automate and scale. They will help mentor junior employees on the team and play an active role in maintaining team culture and morale. This is a highly visible role, requiring collaboration with senior stakeholders in globally. About the team We are the Analytics & Insights team within the global Amazon Ads business. We solve problems for our sales teams, advertisers and partners by leveraging Amazon's rich first party insights and partnering with third party vendors (if needed). We help advertisers and agencies optimize and grow their investment on Amazon Ads. Basic Qualifications: - Bachelor’s degree in a quantitative discipline (e.g., Engineering, Math) - 6+ years of experience in business analysis, data science, or business intelligence - Expert-level SQL skills and experience manipulating large datasets - Strong programming skills in Python or R for automation and modeling - Strong business acumen and experience in translating data into insights - Excellent written and verbal communication skills with global stakeholder exposure - Collaborate with engineering teams to implement scalable solutions - Use SQL and Python to create and enhance insights, analyzing complex datasets to identify scaling opportunities - Design and implement quality control processes for scaled insights - Identify opportunities to leverage AI and automation in content creation - Maintain documentation and best practices for insights scaling Preferred Qualifications: - Master’s degree in computer science, Data Science, Engineering, or related field - Prior experience in digital advertising or media analytics - Knowledge of experimentation frameworks and statistical modeling techniques - Experience influencing senior decision-makers through data-driven narratives 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" : "Senior Data Analyst, Ads, Sales Enablement & Insights at Amazon Advertising. Skills: Data analysis, Insights, Automation. Lead critical analytical projects. Shape insights and recommendations", "postedDate" : "2026-06-13T11:47:34.930", "createdAt" : "2026-06-13T11:47:34.930", "lastUpdated" : "2026-06-15T04:24:06.134", "ingestTimestamp" : "2026-06-13T11:47:34.930", "mongoId" : "68b706997fc9a711f0f6fe69", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3051447/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data manipulation", "Automation", "Modeling", "Quality control", "Scaling insights", "Mentoring", "Data analysis", "Insights", "Business analysis", "Data science", "Business intelligence", "Sales Enablement", "Insights generation", "Advertising initiatives", "Digital advertising", "Media analytics", "Ecommerce advertising" ], "skillCount" : 17, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 770.347, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Ecommerce" }, { "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, "_score" : 767.6656, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a16403158b93c861e9bc85f", "title" : "Manager, Data & AI Transformations", "company" : "TELUS", "industry" : "Technology", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager, Data & AI Transformations in Toronto, Canada, adjusted for seniority and industry." }, "location" : "Toronto, ON", "locations" : [ "Toronto", "ON" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T22:59:04.919", "fingerprint" : "76a8d30ad0b1b9b794ff840b1ea046933fe071484c1147616a7f415e0e3bd44f", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://telus.breezy.hr/p/609c30dd6801-manager-data-ai-transformations", "externalId" : "609c30dd6801", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "43.6534817,-79.3839347" }, { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "49.2608724,-123.1139520" }, { "city" : "Montreal", "state" : "Quebec", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "45.5031824,-73.5698065" }, { "city" : "Calgary", "state" : "Alberta", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "51.0456064,-114.0575410" }, { "city" : "Edmonton", "state" : "Alberta", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "53.5462055,-113.4912410" } ], "locationText" : "Toronto, Ontario, Canada; Vancouver, British Columbia, Canada; Montreal, Quebec, Canada; Calgary, Alberta, Canada; Edmonton, Alberta, Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "hardSkillsList" : [ "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Data modelling" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "ML/AI", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Analytics engineering", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" } ], "majorSkills" : "Data transformations, Data science, AI", "majorSkillsList" : [ "Data transformations", "Data science", "AI" ], "coreResponsibilities" : "Drive profitable growth", "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "qualificationsBasic" : "5+ years experience, SQL proficiency, Required degrees in Statistics, CS, Maths", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Location : Toronto, Vancouver, Montreal, Calgary, Edmonton (Hybrid Role)Our team and what we’ll accomplish together The TELUS Business Solutions (TBS) organization is dynamic, fast-paced, and entrepreneurial. Together, the team is responsible for driving profitable growth within a key growth segme", "summaryDescription" : "Manager, Data & AI Transformations at TELUS. Skills: Data transformations, Data science, AI. Drive profitable growth", "createdAt" : "2026-06-14T21:53:59.317", "lastUpdated" : "2026-06-15T22:59:04.919", "ingestTimestamp" : "2026-06-14T21:53:59.317", "mongoId" : "6a16403158b93c861e9bc85f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Data modelling", "Data transformations", "Data science", "AI", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 764.0126, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2caaaf74d8ee00a09ca053", "title" : "COMMERCIAL INSIGHTS ANALYST", "company" : "Ampol", "industry" : "Oil And Energy", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Commercial Insights Analyst in Alexandria, Australia, adjusted for the Energy industry and company size." }, "location" : "Alexandria, New South Wales, Australia", "locations" : [ "Alexandria", "New South Wales", "Australia" ], "timestamp" : "2026-06-15T12:45:59.789", "fingerprint" : "72ff3046c64e4d49ae8c712696711c96a937833e12ac940be69cd1a90ab7bedd", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Ampol/6000000001150760-commercial-insights-analyst", "externalId" : "6000000001150760", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Alexandria", "state" : "New South Wales", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "hybrid", "geo" : "-33.9091568,151.1921281" } ], "locationText" : "Alexandria, New South Wales, Australia", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "technicalSkills" : "Python, SQL, DAX, Power BI", "professionalSkills" : [ "Commercial analysis", "Financial modeling", "Data pipelines", "Reporting", "Stakeholder engagement" ], "hardSkillsList" : [ "Financial modeling", "Data analysis", "Profitability drivers", "Value tree analysis", "EBIT data validation" ], "hardSkills" : [ { "name" : "Financial modeling", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Profitability drivers", "level" : "intermediate" }, { "name" : "Value tree analysis", "level" : "intermediate" }, { "name" : "EBIT data validation", "level" : "intermediate" } ], "majorSkills" : "Commercial insights, Financial modeling, Data analysis, Reporting", "majorSkillsList" : [ "Commercial insights", "Financial modeling", "Data analysis", "Reporting" ], "coreResponsibilities" : "Analyze financial and commercial datasets, Deliver actionable insights and recommendations, Validate and investigate enterprise integrated value and EBIT, Design and develop P&L and EBIT faceplates, Build value-tree profitability drivers, Develop, enhance and maintain financial models, Develop, enhance and maintain data cubes, Develop, enhance and maintain Power BI reports, Support monthly reporting cycles, Update dashboards for F&I Commercial teams, Present insights to senior stakeholders, Support strategic decision-making, Deliver ad-hoc analysis and reports, Document processes and reporting standards", "teamCollaboration" : "Work cross-functionally; Present to senior stakeholders", "domainKnowledge" : "Energy sector; Fuel supply; Energy solutions; Convenience retail; Infrastructure; Trading; Shipping; Financial reporting", "domainList" : [ "energy-sector", "fuel-supply", "energy-solutions", "convenience-retail", "infrastructure", "trading", "shipping", "financial-reporting" ], "domainSpecificKnowledge" : [ "Energy sector", "Fuel supply", "Energy solutions", "Convenience retail", "Infrastructure", "Trading", "Shipping", "Financial reporting" ], "toolProficiency" : [ "Excel", "SQL", "DAX", "Power BI", "SAP", "Confluence" ], "communicationSkills" : "Present insights; Compelling narratives", "documentationSkills" : "Document processes; Reporting standards", "continuousLearning" : "LinkedIn Learning; Tailored training solutions", "problemSolvingSkills" : "Analytical skills; Problem-solving skills; Synthesise data sources", "outcomesObjectives" : "Drive decisions across Supply, Trading and Commercial; Influence performance and growth", "qualificationsBasic" : "Minimum 5 years’ experience, Tertiary qualifications in Finance, Accounting, Marketing, Engineering or equivalent experience, Advanced skills in Excel, SQL, DAX, and Power BI, Experience with SAP, Python experience essential", "qualificationsPreferred" : "Financial reporting environments experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "At Ampol, we believe in the Power of Us - the extraordinary power of people to connect, act, and make a difference. As a leading energy company operating across Australia, New Zealand, Singapore and from the United States, our work spans fuel supply, energy solutions, convenience retail, infrastructure, trading and shipping. Every role at Ampol plays a part in something bigger - powering progress for our customers, communities, and people. Your career here is yours to shape. We back our people with real opportunities, the tools to grow, and a culture that rewards ownership and initiative. Whether you’re deepening your expertise or taking on something new, we’ll support you to power a career that works for you. We’re building a workplace where everyone feels welcome, respected, and valued - because when people are free to be themselves, powerful things happen. About the role The Commercial Insights Analyst sits at the intersection of data, operations and strategy—turning complex financial and commercial inputs into clear, actionable insights that drive decisions across Supply, Trading and Commercial. This is a hands-on role for someone who can dive into the detail while keeping a clear view of the bigger picture: building and refining integrated models, developing robust data pipelines (leveraging Python for automation, analysis and scalability), and delivering sharp visualisations and reporting that cut through noise. You’ll work cross-functionally to answer critical business questions, translating data into clear, compelling narratives that influence performance and growth—combining strong technical execution with the commercial judgement to focus on what matters. This is a permanent, full-time role based in our Alexandria headquarters with a hybrid working arrangement. Key responsibilities * Analyse financial and commercial datasets to deliver actionable insights and recommendations * Validate and investigate enterprise integrated value and EBIT data for accuracy and integrity * Design and develop P&L and EBIT faceplates aligned to organisational structures * Build value-tree profitability drivers across multiple business lenses * Develop, enhance and maintain financial models, data cubes and Power BI reports * Support monthly reporting cycles and dashboard updates for F&I Commercial teams * Present insights to senior stakeholders to support strategic decision-making * Deliver ad-hoc analysis and reports to tight deadlines * Document processes and reporting standards in Confluence Qualifications & Experience * Minimum 5 years’ experience in commercial analysis or finance-related roles * Tertiary qualifications in Finance, Accounting, Marketing, Engineering or equivalent experience * Advanced skills in Excel, SQL, DAX, and Power BI, with proven hands-on experience * Strong experience with SAP and financial reporting environments * Ability to synthesise multiple data sources into clear business insights * Excellent analytical, problem-solving and stakeholder engagement skills * Experience working cross-functionally in fast-paced, complex environments * Python experience essential Benefits * Our total remuneration is competitive. This is across base salary, car allowance, a company performance incentive, employee share offers and a 25% discount on Fuel for two privately used cars! * We are flexible. Many of our teams have embraced hybrid work, balancing time spent remote working, with time spent at an office to connect and work together where it adds value. * Remote Working: Support for up to 3 months remote international working (conditional to 5 days paid leave for every 30 days of remote work). * We value recognition. We have an internal recognition platform amplifying the achievements of those who do great work and demonstrate our capabilities and values. * Career development and learning opportunities including LinkedIn Learning and other tailored training solutions. * Baby Care Package - financial and flexible support for parents transitioning back to work. * Need some wheels? Novated Lease options are available. * Invest in your future with the Employee Share Scheme * Leave Options – Flexible leave options include generous annual leave, optional additional purchased leave and wellbeing days throughout the year. * Care for your Community. Spend one paid day a year volunteering with one of our Ampol Foundation partners. Want to take your career to the next level? Apply today. ## Additional Information By clicking apply, you confirm you have read and agree to our [Ampol Recruitment Privacy Collection Statement](https://c.smartrecruiters.com/sr-company-attachments-prod-aws-dc9/68397163321cc03b6a5d240c/e4090605-2b96-49c6-9240-9213d28366f2?r=s3-ap-southeast-2). We’re an equal opportunity workplace. We not only embrace diversity and inclusion; we celebrate what makes you unique. We welcome applications from people of all ages, cultural backgrounds, and diverse sexualities and genders (including if you identify as transgender). We also highly encourage Aboriginal and Torres Strait Islander peoples to apply for roles with Ampol.", "summaryDescription" : "COMMERCIAL INSIGHTS ANALYST at Ampol. Skills: Commercial insights, Financial modeling, Data analysis, Reporting. Analyze financial and commercial datasets. Deliver actionable insights and recommendations", "postedDate" : "2026-06-12T05:02:17.000", "createdAt" : "2026-06-14T07:21:47.370", "lastUpdated" : "2026-06-15T12:45:59.789", "ingestTimestamp" : "2026-06-14T07:21:47.370", "mongoId" : "6a2caaaf74d8ee00a09ca053", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Financial modeling", "Data analysis", "Profitability drivers", "Value tree analysis", "EBIT data validation", "Commercial insights", "Reporting", "Commercial analysis", "Data pipelines", "Stakeholder engagement", "Energy sector", "Fuel supply", "Energy solutions", "Convenience retail", "Infrastructure", "Trading", "Shipping", "Financial reporting", "Excel", "SQL", "DAX", "Power BI", "SAP", "Confluence" ], "skillCount" : 24, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 754.7101, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c94e874d8ee00a098be08", "title" : "Analista Pleno de Analytics e Data Insights", "company" : "Getnet", "industry" : "FinTech", "salary" : { "min" : 100000.0, "max" : 160000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Analytics and Data Insights Analyst in São Paulo, Brazil, adjusted for the FinTech industry and full-time employment." }, "location" : "São Paulo, Brazil", "locations" : [ "São Paulo", "Brazil" ], "timestamp" : "2026-06-15T11:33:27.122", "fingerprint" : "d3625b69d11ef142c6dc896ea8273616389743b754964ca796f098f0899acc90", "source" : "greenhouse", "language" : "pt", "applyUrl" : "https://job-boards.eu.greenhouse.io/getnet/jobs/4880672101", "externalId" : "4880672101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "São Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "São Paulo, Brazil", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Power BI", "professionalSkills" : [ "Data analysis", "Data modeling", "Data segmentation" ], "hardSkillsList" : [ "Data manipulation", "Performance analysis", "Business intelligence" ], "hardSkills" : [ { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Performance analysis", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" } ], "majorSkills" : "Data Insights, Analytics, SQL, Power BI", "majorSkillsList" : [ "Data Insights", "Analytics", "SQL", "Power BI" ], "domainKnowledge" : "Payment methods; Banking; Fintech; Pix; Tap on Phone; Payment link; PAT; Customer journey; Product funnels", "domainList" : [ "payment-methods", "banking", "fintech", "pix", "tap-on-phone", "payment-link", "pat", "customer-journey", "product-funnels" ], "domainSpecificKnowledge" : [ "Payment methods", "Banking", "Fintech", "Pix", "Tap on Phone", "Payment link", "PAT", "Customer journey", "Product funnels" ], "toolProficiency" : [ "Power BI" ], "communicationSkills" : "Clear presentation; Objective presentation", "documentationSkills" : "Document concepts; Document metrics; Document premises", "continuousLearning" : "Language learning platform; LinkedIn Learning access; O'Reilly access", "problemSolvingSkills" : "Problem-solving profile; Autonomy in analysis", "qualificationsBasic" : "Solid SQL knowledge, Programming logic knowledge, Power BI dashboard experience, Large data volume manipulation, Clear communication, Objective presentation, Analytical profile, Organized profile, Problem-solving profile, Autonomy in analysis, Hands-on profile, Strategic profile", "qualificationsPreferred" : "Payment methods experience, Banking experience, Fintech experience, Pix knowledge, Tap on Phone knowledge, Payment link knowledge, PAT knowledge, Experimentation notions, A/B testing notions, Profitability indicators experience, Monetization indicators experience, Commercial efficiency indicators experience, Customer journey analysis experience, Product funnel analysis experience, Python knowledge, R knowledge", "workSiteFlexibility" : "Hybrid", "rawDescription" : "✨ Seu talento impulsiona o nosso futuro A Getnet é uma empresa global de tecnologia especializada em soluções de pagamento para o comércio. Fundada no Brasil e presente na América Latina e na Península Ibérica, apoiamos mais de 1,3 milhão de comerciantes com serviços completos — da maquininha ao e-commerce. Fazemos parte da PagoNxt, a fintech global do Grupo Santander, e atuamos como um hub de adquirência com forte presença em Espanha, Portugal, Brasil, México, Chile, Argentina e Uruguai. Nossa missão é clara: simplificar os pagamentos com inovação, segurança e escala, ajudando negócios de todos os tamanhos a crescer com agilidade. Oferecemos uma plataforma unificada que integra hardware, software, prevenção à fraude, adquirência, conciliação e serviços financeiros — tudo em um só ecossistema, para que nossos clientes possam focar no crescimento do seu negócio. Fazer parte da Getnet é se juntar a uma empresa que combina a inovação de uma fintech com a solidez de um banco global. Imagine your future. Care for your career. Simplify your journey. Isso significa que você terá a chance de construir soluções de impacto, crescer com oportunidades reais de desenvolvimento e evoluir em uma cultura que valoriza bem-estar, inclusão e clareza. Combinamos flexibilidade, autonomia e colaboração global — para que você possa focar no que importa, se conectar com propósito e ajudar a moldar o futuro. Aqui, você vai encontrar espaço para crescer, oportunidades reais para liderar e uma cultura onde todas as pessoas pertencem e contribuem. ✨ Se você quer fazer parte da próxima geração de soluções financeiras, este é o lugar certo. Já te imagina sendo Nxter? Na Getnet, estamos buscando uma pessoa para a vaga de Analista Pleno de Analytics e Data Insights para se juntar ao nosso time em São Paulo. \uD83D\uDCCCO que você vai fazer Construir, atualizar e evoluir dashboards executivos e operacionais. Criação e manutenção de painéis para acompanhamento dos produtos. Acompanhar indicadores por produto, canal, segmento, região e perfil de cliente. Realizar análises de performance dos produtos, identificando variações, tendências, oportunidades e possíveis causas de crescimento ou queda. Apoiar a gestão dos funis de aquisição, ativação, uso, retenção e monetização dos produtos. Identificar gargalos na jornada do cliente e propor oportunidades de otimizaçã o. Modelagem de dados e segmentaçã o. Criação de cohorts e análises por comportamento. Apoiar as áreas de produto e negócio com análises estruturadas e recomendações baseadas em dados. Garantir consistência básica das informações utilizadas em dashboards e relatórios. Documentar conceitos, métricas e premissas utilizadas nas análises. ✅ O que buscamos em você Experiência prévia com Analytics, BI, Dados ou áreas correlatas. Conhecimento sólido em SQL e lógica de programaçã o. Experiência em construção de dashboards em Power BI. Capacidade de manipulação de grandes volumes de dados. Boa capacidade de comunicação para apresentar análises de forma clara e objetiva. Perfil analítico, organizado e orientado à resolução de problemas. Capacidade de atuar com autonomia em análises. Perfil hands-on + estratégico. ✅ O que pode contar pontos a mais Experiência em meios de pagamento, bancos ou fintechs. Conhecimento em produtos como Pix, Tap on Phone, Link de pagamento, PAT. Noções de experimentação (A/B test). Familiaridade com indicadores de rentabilidade, monetização ou eficiência comercial. Experiência com análise de jornada do cliente ou funis de produto. Conhecimento em Python/R (plus). \uD83C\uDFAF O que oferecemos \uD83E\uDE7A Assistência médica \uD83E\uDDB7 Assistência odontológica \uD83E\uDD73 Day off de aniversário \uD83D\uDE91 Seguro de vida \uD83D\uDC89 Campanha de vacinação anual \uD83D\uDE8C VT \uD83C\uDF5D VR/VA \uD83D\uDCB0 Bônus anual \uD83D\uDC76 Auxílio creche \uD83C\uDF85 Vale natalino \uD83E\uDD30 Extensão dos períodos de licença maternidade e paternidade \uD83E\uDDE0 Programa de Apoio Pessoal Especializado (PAPE) \uD83C\uDF0E Plataforma Ástex: recurso gratuito para você aprender um novo idioma (inglês, espanhol, francês, italiano, alemão ou português) \uD83D\uDCDA Acesso a uma plataforma de learning conectada a todos os conteúdos do LinkedIn Learning e o'Reilly ♨️ Possibilidade de contratação de empréstimos pessoais com juros menores que os de mercado \uD83D\uDCEC Seguinte passo Candidate-se e se você conhece alguém que possa estar procurando por essa oportunidade, compartilhe.", "summaryDescription" : "Analista Pleno de Analytics e Data Insights at Getnet. Skills: Data Insights, Analytics, SQL, Power BI", "postedDate" : "2026-06-14T01:22:25.107", "createdAt" : "2026-06-14T01:22:25.107", "lastUpdated" : "2026-06-15T11:33:27.122", "ingestTimestamp" : "2026-06-14T01:22:25.107", "mongoId" : "6a2c94e874d8ee00a098be08", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data manipulation", "Performance analysis", "Business intelligence", "Data Insights", "Analytics", "SQL", "Power BI", "Data analysis", "Data modeling", "Data segmentation", "Payment methods", "Banking", "Fintech", "Pix", "Tap on Phone", "Payment link", "PAT", "Customer journey", "Product funnels" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 753.92, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a486d74d8ee00a05df69c", "title" : "Senior Data Analytics Engineer - Data Insights", "company" : "Appfire", "salary" : { "min" : 150000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Analytics Engineer in the Technology industry in the United States, adjusted for seniority and company size." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-14T09:53:17.771", "fingerprint" : "81d513fab4daf98e2ac74e286b2af700c159e968d9cdfc20b945f85f0846499e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/appfire/jobs/4702169005", "externalId" : "4702169005", "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" }, { "city" : "Tel Aviv", "country" : "Israel", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "32.0852997,34.7818064" }, { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Chicago, Illinois, United States; Tel Aviv, Israel; United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, DBT, Snowflake, JSON", "professionalSkills" : [ "Data modeling", "Metric development", "Query optimization", "Data wrangling", "Stakeholder management", "Expectation setting", "Prioritization", "Development", "Delivery" ], "hardSkillsList" : [ "Data quality", "Impactful analytics engineering", "Self service analytics", "Advanced analytics", "Semantic layers", "Metrics layers", "Data warehousing concepts", "Problem-solving", "Analytical skills", "Project management", "Technical concepts explanation" ], "softSkillsList" : [ "Continuous learner", "Excellent communication", "Documentation skills" ], "hardSkills" : [ { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Impactful analytics engineering", "level" : "intermediate" }, { "name" : "Self service analytics", "level" : "intermediate" }, { "name" : "Advanced analytics", "level" : "intermediate" }, { "name" : "Semantic layers", "level" : "intermediate" }, { "name" : "Metrics layers", "level" : "intermediate" }, { "name" : "Data warehousing concepts", "level" : "intermediate" }, { "name" : "Problem-solving", "level" : "intermediate" }, { "name" : "Analytical skills", "level" : "intermediate" }, { "name" : "Project management", "level" : "intermediate" }, { "name" : "Technical concepts explanation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Continuous learner" }, { "name" : "Excellent communication" }, { "name" : "Documentation skills" } ], "majorSkills" : "Data modeling, DBT, SQL, Python", "majorSkillsList" : [ "Data modeling", "DBT", "SQL", "Python" ], "coreResponsibilities" : "Understand decision needs, Interface with Analytics Engineers, Interface with Data Engineers, Interface with Data Analysts, Interface with Business Partners, Architect data models, Build data models, Launch data models, Architect data pipelines, Build data pipelines, Launch data pipelines, Leverage DBT, Leverage Snowflake, Design metrics, Implement metrics, Design dimensions, Implement dimensions, Define best practices on metric development, Define best practices on dimension development, Define best practices on data model development, Share best practices on metric development, Share best practices on dimension development, Share best practices on data model development", "teamCollaboration" : "Analytics Engineers; Data Engineers; Data Analysts; Business Partners; Fellow Analytics Engineers; Cross-functional teams", "projectManagementSkills" : [ "SDLC", "Stakeholder management", "Expectation setting", "Prioritization", "Development", "Delivery" ], "domainKnowledge" : "Data warehousing concepts; Metrics layers; Semantic layers; Cloud Technologies", "domainList" : [ "data-warehousing-concepts", "metrics-layers", "semantic-layers", "cloud-technologies" ], "domainSpecificKnowledge" : [ "Data warehousing concepts", "Metrics layers", "Semantic layers", "Cloud Technologies" ], "toolProficiency" : [ "DBT", "Snowflake", "GIT", "BitBucket" ], "communicationSkills" : "Explain technical concepts; Non-technical audience", "documentationSkills" : "Documentation skills; Technical concepts explanation", "continuousLearning" : "Continuous learner; Eye on industry trends; Eye on new technologies; Learning platform", "problemSolvingSkills" : "Problem-solving skills; Analytical skills", "outcomesObjectives" : "Achieve trusted data view; Achieve accessible data view; Achieve well-defined data view; Scale trust; Scale accountability; Scale decision impact; Power impactful analytic use cases; Enable decisions; Push boundaries of decisions; Evolve ecosystems to scale impact", "qualificationsBasic" : "5+ years relevant experience, Expert SQL skills, 3+ years Python experience, 3+ years DBT experience, Understanding data warehousing concepts, Efficient problem-solving skills, Analytical skills, Proven ability to succeed in collaborative environments, Proven ability to succeed in independent work environments, Proven experience managing concurrent complex data projects", "qualificationsPreferred" : "Experience with dbt implementation, Experience owning end to end SDLC, Full ownership of stakeholder management, Proficiency in source code management tools, Experience working with Cloud Technologies, Experience working with semi structured data formats, Experience building data solutions for future scale, 3+ years BI tools development experience, ML analytics engineering experience a plus, Marketing Analytics experience a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "At Appfire, we believe that great work happens when people get to choose how they work. After 20 years of creating software that empowers teams to break silos and collaborate seamlessly, we've learned that one size does not fit all. We’re a team of 800+ employees, working remotely across 28 countries. Our flagship products include: Appfire Flow, JXL, Comala Document Management, 7Pace Time Tracker, Jira Misc Workflow Extensions, and BigPicture. Here you can read some of our customer stories: https://appfire.com/resources/resource-library/customer-stories About the role: Appfire is seeking an experienced full-time Senior Analytics Engineer! In this role you will build, define and activate Appfire’s company-wide data asset (Snowflake) from ground up data sources. You will work with stakeholders across Appfire to integrate, test, connect, and build brand new data and metrics within our Snowflake metrics layers, achieving a trusted, accessible and well-defined view of information across the company. Our Analytics Engineers build metric foundations for reporting, analysis and experimentation, pushing the boundaries of decisions across the company under an aligned view of the world. They leverage their expertise in metric development, DBT, data modeling, SQL and Python. Using these skills you will transform data from raw data warehouse into data artifacts powering impactful analytic use cases (e. g. metrics, dashboards, adhoc analysis and self-service solutions) that enable and push the boundaries of decisions across the company. As an Analytics Engineer you will sit at the intersection of business and data, working collaboratively to enable and achieve meaningful outcomes by evolving our ecosystems to scale impact. We’re growing quickly and have a lot to accomplish. What You Will Do: Understand decision needs by interfacing with fellow Analytics Engineers, Data Engineers, Data Analysts and Business Partners Architect, build, and launch efficient & reliable data models and pipelines in partnership with Data Engineering, leveraging DBT and Snowflake Design and implement metrics and dimensions enabling self-service analysis and structured views of Appfire’s KPI’s that scale trust, accountability and decision impact Define and share best practices on metric, dimension, and data model development and definitions for analytics use cases What We Would Like to See: 5+ years of relevant industry experience Passion for high data quality and impactful analytics engineering work Expert SQL skills for data modeling and query optimization. Extensive experience with self service, advanced analytics, semantic and metrics layers 3+ Years of Experience with Python and DBT Strong understanding of data warehousing concepts and best practices. Efficient problem-solving and analytical skills Proven ability to succeed in both collaborative and independent work environments at a remote-work company Proven experience managing concurrent complex data projects from start to finish Continuous learner with an eye on industry trends and new technologies. Excellent communication and documentation skills with the ability to explain technical concepts to a non-technical audience. Ability to effectively leverage AI tools and techniques to enhance dbt development, increase efficiency, and strengthen documentation. Preferred Qualifications: Experience with dbt (Data Build Tool) and its implementation for data transformation and modeling. Proven experience with data wrangling and designing/developing experience owning end to end SDLC and implementation, with full ownership of stakeholder management and expectation setting, prioritization, development and delivery. Proficiency in source code management tools such as GIT, BitBucket, etc. Experience working with Cloud Technologies (AWS/GCP/Azure) Experience working with various semi structured data formats (ex. JSON) Experience building data solutions for future scale and analytics use-cases 3+ years of development experience on industry standard BI tools ML analytics engineering experience a plus Marketing Analytics experience a plus Equity Every Appfire team member is eligible for company equity, fostering a genuine sense of ownership and shared success as we continue to grow. Paid Time Off We believe in providing the flexibility needed to maintain a healthy work-life balance. Appfire offers: Unlimited Paid Time Off (PTO) 10 paid company holidays annually Health & Wellness Benefits Appfire provides a comprehensive benefits package designed to support employees and their families: Medical insurance fully covered by Appfire (100% employer-paid) Dental insurance with costs shared 50/50 between Appfire and employees Vision insurance Group Term Life Insurance Voluntary Life Insurance Critical Illness coverage Accident Insurance Long-Term Disability coverage Employee Assistance Program (EAP) In addition, employees are eligible for fitness and wellness reimbursements through our benefits provider. Learning & Development Grow your skills and advance your career through Appfire University, our custom on-demand learning platform designed to support continuous professional development. Community Impact & Volunteering Giving back is an important part of our culture. Every employee receives three fully paid volunteer days per year to participate in our Corporate Social Responsibility (CSR) initiatives and support local communities. Additional Benefits Appfire offers a range of programs to support employees both professionally and financially: Flexible Spending Accounts (FSA) Monthly remote-work stipend Dedicated Amazon account for ordering approved equipment and peripherals Competitive 401(k) plan with company matching to help build long-term financial security Flexibility That Fits How You Work Best This role is fully remote and can be performed anywhere within the United States. For those who prefer an office environment—or simply enjoy connecting with colleagues in person—Appfire also offers access to our offices in Boston, Burlington, and New York. Market recognition Appfire has been consistently recognized for company growth, culture, corporate social responsibility, and product excellence and has been included among the Deloitte Technology Fast 500, Inc. Best Workplaces, BuiltIn Best Places to Work, and Inc. 5000. Learn more about our accomplishments, which would not be possible without our team members, partners, and customers: https://appfire.com/awards. Equal Employer Opportunity (EEO) Appfire is an equal opportunity employer and does not discriminate based on race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, veteran status, or any other protected characteristic as defined by applicable law. Our commitment extends to all employment practices, including recruitment, hiring, training, promotion, compensation, benefits, and termination.", "summaryDescription" : "Senior Data Analytics Engineer - Data Insights at Appfire. Skills: Data modeling, DBT, SQL, Python. Understand decision needs. Interface with Analytics Engineers", "postedDate" : "2026-06-11T19:40:06.665", "createdAt" : "2026-06-11T19:40:06.665", "lastUpdated" : "2026-06-14T09:53:17.771", "ingestTimestamp" : "2026-06-11T19:40:06.665", "mongoId" : "6a2a486d74d8ee00a05df69c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data quality", "Impactful analytics engineering", "Self service analytics", "Advanced analytics", "Semantic layers", "Metrics layers", "Data warehousing concepts", "Problem-solving", "Analytical skills", "Project management", "Technical concepts explanation", "Continuous learner", "Excellent communication", "Documentation skills", "Data modeling", "DBT", "SQL", "Python", "Metric development", "Query optimization", "Data wrangling", "Stakeholder management", "Expectation setting", "Prioritization", "Development", "Delivery", "SDLC", "Cloud Technologies", "Snowflake", "GIT", "BitBucket" ], "skillCount" : 31, "jobCategory" : "other", "jobSubcategory" : "data-insights", "dataQualityScore" : 1.0, "_score" : 740.8593, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c5ed674d8ee00a08e7367", "title" : "Business Insights Analyst II", "company" : "AvidXchange, Inc.", "industry" : "Technology", "salary" : { "min" : 78000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Business Insights Analyst II in Charlotte, United States, adjusted for mid-seniority and the FinTech industry." }, "location" : "Charlotte, North Carolina, United States", "locations" : [ "Charlotte", "North Carolina", "United States" ], "timestamp" : "2026-06-15T00:14:31.404", "fingerprint" : "0663124f2c40d5d9914310d88cd5547995c3614668ec7afbead4f36f46b9fcf6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/avidxchangeinc/jobs/5144601007", "externalId" : "5144601007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Charlotte", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.2272086,-80.8430827" } ], "locationText" : "Charlotte, North Carolina, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python, Power BI", "professionalSkills" : [ "Enterprise analysis", "Reporting", "Data-driven strategy", "Process improvement" ], "hardSkillsList" : [ "Data analysis", "Reporting automation", "Trend monitoring", "Performance forecasting" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting automation", "level" : "intermediate" }, { "name" : "Trend monitoring", "level" : "intermediate" }, { "name" : "Performance forecasting", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Reporting, Business intelligence", "majorSkillsList" : [ "Data analysis", "Reporting", "Business intelligence" ], "coreResponsibilities" : "Generate actionable insights, Provide recommendations, Drive cross-functional initiatives, Identify opportunities, Implement solutions, Hold partners accountable to use data, Communicate complex data simply, Build automated reporting, Maintain automated dashboards, Monitor trends, Forecast performance, Identify key opportunities for improvement", "teamCollaboration" : "Partner with stakeholders; Work with business leaders", "domainKnowledge" : "Accounts payable automation", "domainList" : [ "accounts-payable-automation" ], "domainSpecificKnowledge" : [ "Accounts payable automation" ], "toolProficiency" : [ "Microsoft Excel", "SQL", "Power BI", "PowerPoint" ], "communicationSkills" : "Communicate complex data", "problemSolvingSkills" : "Problem-solving skills; Intellectual curiosity", "outcomesObjectives" : "Improve processes; Improve bottom line", "qualificationsBasic" : "Bachelor's degree in an analytical discipline, 3+ years of experience in a highly analytical environment, SQL proficiency, Microsoft Excel experience, PowerPoint experience", "qualificationsPreferred" : "Python experience, Executive presence", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About the role: We are looking for a level II Enterprise Data Analyst to drive key enterprise analyses and reporting. You will partner with stakeholders across the business to build a data-driven culture by delivering key insights, strategies, and recommendations that improve AvidXchange’s processes and bottom line. What You’ll Do: Generate actionable insights and recommendations for operational and financial partnersDive cross-functional initiatives from an analytical and subject matter expert perspective, identifying the largest opportunities and implementing the right solutions in partnership with senior leaders Hold partners accountable to use data and make sure it is ingrained in their operational rhythm Communicate complex data and processes in a simple manner to senior audiences Build and maintain automated reporting/dashboards for internal stakeholders to monitor trends and forecast performance for key metrics Work with business leaders to identify key opportunities for improvement through reporting and process What We’re Looking For: Bachelor’s degree in an analytical discipline Experience with Microsoft Excel, SQL, Power BI (or similar), and Power Point 3+ years of experience in a highly analytical environment Executive presence and ability to influence strategic outcomes Strong problem-solving skills and intellectual curiosity Experience with Python About AvidXchange AvidXchange is a leading provider of accounts payable (“AP”) automation software and payment solutions for middle-market businesses and their suppliers. By trade, we are a technology company, but if you ask anyone who works here, they’ll tell you our people are at the core of who we are. At AvidXchange, mindset is everything. We are Connected as People, Growth Minded, and Customer Obsessed. These three mindsets represent our culture – who we are, who we’ve always been, and they guide us to improve every day. Since our founding in 2000 in Charlotte, NC, we’ve created a company of over 1,500 teammates working across the U.S., or remotely. AvidXchange is proud to be Certified™ as a Great Place to Work®. The prestigious recognition is based on anonymous data from our teammates and makes official what our teammates have known for years – that AvidXchange is a Great Place to Work®. Who you are: A go-getter with an entrepreneurial mindset – that means you are not afraid of taking risks, winning big or facing the unknown. Someone who understands that business is people centric. Connecting with others as humans first allows you to develop mutually beneficial working relationships. Focused on making a difference for our customers. AvidXchange exists to help solve complex problems for our customers so we can all realize our potential. What you’ll get: AvidXchange teammates (we call them AvidXers) get the perks and prestige of a growing tech company paired with the flexibility of a founder-led startup. We help our AvidXers develop as professionals and as human beings, providing work/life balance, development programs, and competitive benefits. At AvidXchange, we are building more than a tech company – we are building an experience. We remain committed to a culture where you can fully be 'you’ – connected with others, chasing big goals, and making a meaningful impact. If you want to help us grow while realizing your potential and creating stories you’ll tell for years, you’ve come to the right place. AvidXers enjoy: 18 days PTO* 11 Holidays (8 company recognized & 3 floating holidays) 16 hours per year of paid Volunteer Time Off (VTO) Competitive Healthcare High Deductible Heath Plan Option that has $0 monthly premium for teammate-only coverage 100% AvidXchange paid Dental Base Plan Coverage 100% AvidXchange paid Life Insurance 100% AvidXchange paid Long-Term Disability 100% AvidXchange paid Short-Term Disability Employee Assistance Program (EAP) - Provides counseling services, legal and financial consultations and health advocacy for Teammates and their eligible dependents Onsite Health Clinic with Atrium Health - available to Teammates and their eligible dependents 401(k) Match: 100% match on the first 3% of your salary, plus 50% match on the next 2% Parental Leave: 8 weeks 100% paid by AvidXchange** Discounts on Pet, Home, and Auto insurance WeeCare Childcare Service: helps teammates find affordable daycare, childcare, and tutors 40% less expensive than traditional daycare centers Perks at Work: free discount program that provides teammates the opportunity to save on items from electronics, movie tickets, car buying, vacations, and more Onsite gym fitness center, yoga studio, and basketball court Tuition Reimbursement up to the federal maximum of $5,250*** Hybrid Workplace Flexibility Free parking *Fully granted from beginning of year, pro-rated if hired mid-year **Must be full-time for at least 3 months ***Must be full-time for at least one year Equal Employment Opportunity AvidXchange is an equal opportunity employer. AvidXchange is committed to equal employment opportunity in accordance with applicable federal, state, and local laws. AvidXchange will not discriminate against applicants for employment on any legally recognized basis. This includes, but is not limited to veteran status, race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age and physical or mental disability.", "summaryDescription" : "Business Insights Analyst II at AvidXchange, Inc.. Skills: Data analysis, Reporting, Business intelligence. Generate actionable insights. Provide recommendations", "postedDate" : "2026-06-12T22:09:54.117", "createdAt" : "2026-06-12T22:09:54.117", "lastUpdated" : "2026-06-15T00:14:31.404", "ingestTimestamp" : "2026-06-12T22:09:54.117", "mongoId" : "6a2c5ed674d8ee00a08e7367", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 78000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Reporting automation", "Trend monitoring", "Performance forecasting", "Reporting", "Business intelligence", "Enterprise analysis", "Data-driven strategy", "Process improvement", "Accounts payable automation", "Microsoft Excel", "SQL", "Power BI", "PowerPoint" ], "skillCount" : 14, "jobCategory" : "other", "jobSubcategory" : "data-&-analytics", "dataQualityScore" : 0.8888889, "_score" : 739.55817, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a305a87f292fd229cf52328", "title" : "Data Analyst", "company" : "Scopely", "industry" : "Media", "salary" : { "min" : 950000.0, "max" : 1550000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Data Analyst in Bangalore, India, with mid-level experience in the gaming industry, adjusted for company size and onsite work mode." }, "location" : "Bangalore", "locations" : [ "Bangalore" ], "timestamp" : "2026-06-16T09:04:04.324", "fingerprint" : "acd99eed97a7e82aa2450ab159df05e3544833595bc70fc68360274008434d6d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/scopely/jobs/5226372008?gh_jid=5226372008", "externalId" : "5226372008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "hybrid", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, India", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python, Tableau, Looker, R, SAS, SPSS, Matlab", "professionalSkills" : [ "Performance marketing analysis", "Forecasting" ], "hardSkillsList" : [ "Quantitative analysis", "Statistical analysis", "Financial analysis", "Complex queries", "A/B testing" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Financial analysis", "level" : "intermediate" }, { "name" : "Complex queries", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" } ], "coreResponsibilities" : "Deliver actionable insights, Increase user acquisition, Increase engagement, Increase monetization, Provide reports, Design analytics events, Implement analytics events, Design queries, Implement queries, Evaluate game features, Improve game features, Perform analyses, Identify trends, Analyze trends, Interpret trends, Analyze issues, Interpret issues, Analyze opportunities, Interpret opportunities, Perform competitor analysis, Answer business questions, Generate business reports, Perform exploratory data analysis, Generate ad-hoc reports, Design statistical testing, Implement statistical testing", "teamCollaboration" : "Work collaboratively with game teams", "domainKnowledge" : "Mobile gaming", "domainList" : [ "mobile-gaming" ], "domainSpecificKnowledge" : [ "Mobile gaming" ], "toolProficiency" : [ "Tableau", "Looker" ], "communicationSkills" : "Presentation skills", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "qualificationsBasic" : "B. TechS in Computer Science, B. TechS in Statistics, B. TechS in Math, B. TechS in Physics, 2+ years overall experience, 2+ years SQL/Python experience, 2+ years reporting system experience", "qualificationsPreferred" : "Advanced degrees, 2+ years mobile gaming domain, Statistical background, Onboarding analysis experience, Early funnel analysis experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Scopely is looking for a Data Analyst to join Bingo Bash team in Bangalore on a hybrid basis! At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. Bingo Bash is a highly international team working on the biggest video game from India to date (measured by revenue). Here you will work on a top-grossing F2P game with significant and growing daily revenues, and help create fresh content for our players.. What You’ll Do Work collaboratively with game teams to deliver actionable insights into our games to further increase user acquisition, engagement and monetization using statistical techniques & provide reports Design and implement new analytics events and queries for new game features, game events and player offers, to make sure the team gets the information they need to evaluate and improve the game Proactively perform a wide range of analyses to identify/analyze/interpret trends, issues, and opportunities across games and perform competitor analysis Answer business-related questions & generate business reports through exploratory data analyses and ad-hoc reporting Design and implement advanced statistical testing for specific problem-solving needs(e. g. A/B testing) What We’re Looking For B.Tech/BS in Computer Science, Statistics, Math, Physics or other quantitative disciplines 2+ years of overall experience in a data analyst, financial analyst, scientist or similar role performing quantitative, statistical or financial analysis 2+ years’ experience using SQL/Python, including complex queries from multiple data sources 2+ years’ experience creating reports using Tableau/Looker or a similar reporting system Experience creating, operating and analyzing multiple simultaneous A/B tests Excellent analytical and problem-solving skills, including forecasting and performance marketing analysis Strong communication and presentation skills, including extensive use of chart and table tools Passion for speed and large data sets Bonus Points Demonstrates openness to using AI-enabled tools to improve analytical workflows, accelerate insight generation, and support high-quality data-driven decision-making. Advanced degrees a plus 2+ years within the mobile gaming domain Strong statistical background Experience with R, SAS, SPSS, Matlab or other statistical modeling packages Had experience of onboarding/early funnel analysis At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employmentopportunities and welcome individuals from all backgrounds to join us & embrace the Adventure! About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U. S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Niantic games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the \"100 Most Influential Companies in the World\" by TIME magazine and one of Fast Company's \"World's Most Innovative Companies\" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/. Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @scopely.com. Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice. Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.", "summaryDescription" : "Data Analyst at Scopely. Deliver actionable insights. Increase user acquisition", "postedDate" : "2026-06-15T23:24:38.409", "createdAt" : "2026-06-15T23:24:38.409", "lastUpdated" : "2026-06-16T09:04:04.324", "ingestTimestamp" : "2026-06-15T23:24:38.409", "mongoId" : "6a305a87f292fd229cf52328", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Quantitative analysis", "Statistical analysis", "Financial analysis", "Complex queries", "A/B testing", "Performance marketing analysis", "Forecasting", "Mobile gaming", "Tableau", "Looker" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 738.4368, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Gaming", "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, "_score" : 733.43646, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a483974d8ee00a05de328", "title" : "FP&A Analyst - Data Insights", "company" : "Datadog", "industry" : "Technology", "salary" : { "min" : 99000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NY, United States", "locations" : [ "New York", "NY", "United States" ], "timestamp" : "2026-06-14T05:58:44.190", "fingerprint" : "d0ef1b3effd322953f8e9102e588c9cdb857aeb5bfb3bddc366020b27fb17a56", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.datadoghq.com/detail/7964916/?gh_jid=7964916", "externalId" : "7964916", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "professionalSkills" : [ "Financial planning", "Data insights" ], "hardSkillsList" : [ "Data analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "FP&A, Data insights", "majorSkillsList" : [ "FP&A", "Data insights" ], "coreResponsibilities" : "Provide commercial support, Provide operational support, Provide analytical support", "teamCollaboration" : "Collaborate with teams", "domainKnowledge" : "Consumption-based software business model", "domainList" : [ "consumption-based-software-business-model" ], "domainSpecificKnowledge" : [ "Consumption-based software business model" ], "toolProficiency" : [ "Pigment" ], "continuousLearning" : "Product training", "problemSolvingSkills" : "Data analysis", "qualificationsBasic" : "5+ years FP&A experience", "qualificationsPreferred" : "Solid understanding of Pigment, Experience in consumption-based software business model", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Datadog's Finance team collaborates with teams across the organization, providing commercial, operational and analytical support to ensure that Datadog's business continues to scale rapidly and efficiently. The Financial Planning Solid understanding of Pigment or other FP&A software is a plus, but not required Experience in or understanding of a consumption-based software business model Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: Generous and competitive benefits package New hire stock equity (RSUs) and employee stock purchase plan Continuous career development and pathing opportunities Product training to develop an in-depth understanding of our product and space Friendly and inclusive workplace culture Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $99,000—$145,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.", "summaryDescription" : "FP&A Analyst - Data Insights at Datadog. Skills: FP&A, Data insights. Provide commercial support. Provide operational support", "postedDate" : "2026-06-11T17:15:50.807", "createdAt" : "2026-06-11T17:15:50.807", "lastUpdated" : "2026-06-14T05:58:44.190", "ingestTimestamp" : "2026-06-11T17:15:50.807", "mongoId" : "6a2a483974d8ee00a05de328", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 99000, "salaryAnnualMax" : 145000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analysis", "FP&A", "Data insights", "Financial planning", "Consumption-based software business model", "Pigment" ], "skillCount" : 6, "jobCategory" : "finance", "jobSubcategory" : "finance", "dataQualityScore" : 0.7777778, "_score" : 712.4998, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c9ff674d8ee00a09a0efe", "title" : "Analytics Manager, Partner Insights", "company" : "Rula", "industry" : "Finance", "salary" : { "min" : 157250.0, "max" : 175750.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "timestamp" : "2026-06-15T14:13:36.599", "fingerprint" : "0fc9c58195e0b2bfb049028b1186865badc1f06a7131f7b0349469202156075f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/rula/36c48692-0a06-4d31-971c-63ae1f29d391/application", "externalId" : "36c48692-0a06-4d31-971c-63ae1f29d391", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "SQL, Dbt, Airflow, Looker, Tableau, Hex", "professionalSkills" : [ "Data storytelling", "Reporting systems design", "Trend analysis", "Cross-functional partnership", "Strategy influence", "Client success support" ], "hardSkillsList" : [ "Quantitative analysis", "Data visualization", "Automation" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" } ], "majorSkills" : "Data analytics, Reporting systems, Partner insights", "majorSkillsList" : [ "Data analytics", "Reporting systems", "Partner insights" ], "coreResponsibilities" : "Design reporting systems, Present insights to stakeholders, Automate foundational reports, Dive into trends", "teamCollaboration" : "Cross-functional partner; Internal client success teams; Sales teams", "domainKnowledge" : "Healthcare data; Payer reporting; Health system reporting; Clinical outcomes; Cost of care; Network adequacy; Utilization rates", "domainList" : [ "healthcare-data", "payer-reporting", "health-system-reporting", "clinical-outcomes", "cost-of-care", "network-adequacy", "utilization-rates" ], "domainSpecificKnowledge" : [ "Healthcare data", "Payer reporting", "Health system reporting", "Clinical outcomes", "Cost of care", "Network adequacy", "Utilization rates" ], "toolProficiency" : [ "SQL", "Dbt", "Airflow", "Looker", "Tableau", "Hex" ], "communicationSkills" : "Present insights", "problemSolvingSkills" : "Data analysis", "outcomesObjectives" : "Transform data into stories; Unlock time for deeper trends", "qualificationsBasic" : "5+ years experience, Bachelor's degree, SQL proficiency, Dbt proficiency, Airflow proficiency, Looker proficiency, Tableau proficiency, Hex proficiency, Experience with health plans, Experience with healthcare analytics, Experience with payer reporting, Experience with health-system reporting", "qualificationsPreferred" : "Startup environment experience, Transition manual reporting to automated workflows, Deep understanding of clinical outcomes, Deep understanding of cost of care, Deep understanding of network adequacy, Deep understanding of utilization rates", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We believe that mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole person, not just the symptoms. We aim to create a world where mental health is no longer stigmatized or marginalized, but rather is embraced as an integral part of one's overall well-being. We believe that by providing quality care that is both evidence-based and compassionate, we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare. Rula is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii. About the Role This role empowers Rula’s partnership teams by transforming complex healthcare data into clear, compelling stories for our largest partners. As an individual contributor, you will be responsible for designing reliable reporting systems and directly presenting easy-to-understand insights to external stakeholders. By applying your technical skills to automate foundational reports, you will unlock the time needed to dive into deeper trends around care and operational success. Ultimately, you will be a key customer-facing guide at the crossroads of data and relationships, directly influencing how partners experience the value Rula brings to the table. Required Qualifications - 5+ years of experience, embedded within an Analytics, Data Science, Operations, Product, or Engineering function - A Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, or related technical field with strong quantitative foundation - Experience working with health plans, healthcare analytics, payer and health-system-facing reporting - Advanced technical expertise with modern data stacks (i.e. SQL, dbt, Airflow, etc.) and data visualization tools (i.e. Looker, Tableau, Hex, etc.) - Experience operating as a highly collaborative cross-functional partner, with the ability to influence strategy, proactively anticipate cross-functional needs, and support internal client success/sales teams without having direct ownership of the account Preferred Qualifications While having the preferred qualifications enhances your candidacy, having all of them is not mandatory. We encourage all interested applicants to apply, even those who may not meet every preferred requirement. - Experience within a fast-paced, high-growth, marketplace-centric startup environment with the ability to handle dynamic analytical priorities - A proven track record of successfully transitioning manual, one-off reporting tasks into automated, scalable workflows and templates - Deep understanding of specific healthcare performance indicators, such as clinical outcomes, cost of care, network adequacy, or utilization rates We're serious about your well-being! As part of our team, full-time employees receive: - 100% remote work environment: Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments (must be based in United States, currently not hiring in Hawaii) - Attractive pay and benefits: Full transparency of pay ranges regardless of where you live in the United States - Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA - 401(k) plan access: Start saving for your future - Generous time-off policies: Including 2 company-wide shutdown weeks each year for self-care (for most employees) - Paid parental leave: Available for all parents, including birthing, non-birthing, adopting, and fostering - Employee Assistance Program (EAP): Supporting your mental and physical health - Quarterly department stipend: Fun team-building activities or in-person gatherings - Community and employee resource groups: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all - Home office stipend: New hire home office stipend & $50 monthly stipend to help cover internet or cell phone expenses - Wellness at Rula program: Year-round wellness initiatives and a $50/month wellness stipend Our team We believe that diversity, equity, and inclusion are fundamental to our mission of making mental healthcare work for everyone. We are dedicated to having a culture of inclusion that will support our employees in feeling safe, seen, heard, and valued.", "summaryDescription" : "Analytics Manager, Partner Insights at Rula. Skills: Data analytics, Reporting systems, Partner insights. Design reporting systems. Present insights to stakeholders", "createdAt" : "2026-06-14T09:31:37.505", "lastUpdated" : "2026-06-15T14:13:36.599", "ingestTimestamp" : "2026-06-14T09:31:37.505", "mongoId" : "6a2c9ff674d8ee00a09a0efe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 157250, "salaryAnnualMax" : 175750, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Quantitative analysis", "Data visualization", "Automation", "Data analytics", "Reporting systems", "Partner insights", "Data storytelling", "Reporting systems design", "Trend analysis", "Cross-functional partnership", "Strategy influence", "Client success support", "Healthcare data", "Payer reporting", "Health system reporting", "Clinical outcomes", "Cost of care", "Network adequacy", "Utilization rates", "SQL", "Dbt", "Airflow", "Looker", "Tableau", "Hex" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 697.1188, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "69cf3f092beec4dd3d934339", "title" : "Consultant, Analytics & Insights", "company" : "Amazon Advertising LLC", "industry" : "Sales, Advertising, Account Management, Professional Services", "salary" : { "min" : 50000.0, "max" : 195400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T04:39:48.842", "fingerprint" : "e2b37cab20fd5cb9a4e410b3e2257ef368cb9d67aa5a219566ee27dfeeeaa7e6", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381284/apply", "externalId" : "3cfa8739-28a1-42fa-b947-45d1e17f1ab9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, R, Stata, Python", "professionalSkills" : [ "Data analysis", "Client facing", "Marketing strategy", "Brand advertising", "Media sales", "Online advertising" ], "hardSkillsList" : [ "Data analysis", "Complex query writing", "Data translation" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Complex query writing", "level" : "intermediate" }, { "name" : "Data translation", "level" : "intermediate" } ], "majorSkills" : "Analytics, Insights, Data analysis, Client consulting", "majorSkillsList" : [ "Analytics", "Insights", "Data analysis", "Client consulting" ], "coreResponsibilities" : "Deliver insights for advertisers, Be an analytical consultant for advertisers, Provide relevant insights for strategy discussions, Provide relevant insights for negotiations, Advance relationships with senior marketing decision makers, Establish oneself as go-to expert, Develop expertise in Amazon’s proprietary metrics, Evolve how we analyze data, Evolve how we communicate data, Drive decisions that increase ease of use of, Drive decisions that increase availability of data, Conduct analyses leveraging untapped datasets, Write documents with recommendations, Influence how partners teams operate", "teamCollaboration" : "Work with sales; Work with product; Work with retail; Work with business partners; Work with internal teams; Work with external partners; Work with partners teams", "domainKnowledge" : "Digital advertising; Online advertising; Performance advertising", "domainList" : [ "digital-advertising", "online-advertising", "performance-advertising" ], "domainSpecificKnowledge" : [ "Digital advertising", "Online advertising", "Performance advertising" ], "communicationSkills" : "Communicate recommendations; Compelling fashion", "problemSolvingSkills" : "Data-driven insights; Actionable insights; Actionable recommendations", "outcomesObjectives" : "Drive their businesses forward; Improve advertiser campaigns; Unlock business opportunities; Increase ease of use of data; Increase availability of data; Measurably more successful with Amazon", "qualificationsBasic" : "Experience translating technical aspects into actionable insights, Advanced SQL & ability to write complex queries, 5+ years digital advertising client-facing experience, 4+ years marketing/brand advertising/media sales experience, Experience conducting sophisticated analysis of complex data, Knowledge of data analysis languages (R, Stata, Python), Experience using customer service skills, Experience using communication skills, Experience using interpersonal skills", "qualificationsPreferred" : "Experience with advertising publishers, Experience with marketing/creative agencies, Master's degree or above in marketing, advertising, or business, 8+ years digital ad sales experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Advertising exists at the intersection of marketing and ecommerce and offers advertisers a rich array of innovative advertising solutions across Amazon owned properties, as well as third party properties Amazon operates. We believe that advertising, when done well, can greatly enhance the value of the customer experience and generate a positive return on investment for our advertising partners. We are currently looking for a highly skilled and motivated consultant, Analytics & Insights to join the team. This role is a key member of the customer success team at Amazon Advertising, working with sales, product, retail and other Amazon business partners to analyze and improve advertisers’ performance on Amazon, in support of their marketing initiatives. Consultants, Analytics & Insights work with Amazon's unique data and translate it into high-quality and actionable insights and recommendations to improve the effectiveness of advertiser campaigns and unlock business opportunities. Day to day, the activities include analyzing metrics of success for a business or category, developing data-driven insights and recommendations and communicating recommendations in a clear and compelling fashion. Key job responsibilities • Deliver insights for some of the world’s largest advertisers to drive their businesses forward. • Be an analytical consultant for advertisers, by providing relevant insights that will be incorporated into upfront strategy discussions and negotiations. • Advance relationships with senior marketing decision makers (e.g. senior director, c-level) and establish oneself as go-to expert in at least one advanced analytical area of advertising. • Develop great expertise in Amazon’s proprietary metrics, working to constantly evolve how we analyze and communicate data-driven insights to our advertisers. • Drive decisions that increase the ease of use and availability of data to both internal teams and external partners. Conduct analyses which leverage previously untapped datasets. • Write documents with recommendations that influence how partners teams with Amazon Advertising operate, such as Account Management, Sales, or Product. About the team The Analytics & Insights (A&I) organization develops actionable insights using Amazon’s unique data to influence how advertisers promote their businesses. Our insights enhance their marketing decision-making, leading to them to be measurably more successful with Amazon. Basic Qualifications: - Experience translating technical aspects of analysis and metrics into actionable insights for the advertiser and both technical and non-technical stakeholders - Experience in advanced SQL & ability to write complex queries from scratch from multiple tables - 5+ years of digital advertising and client facing roles with a focus on data analysis experience - 4+ years of marketing, brand advertising, media sales or online advertising work and close work with senior advertisers and agency stakeholders experience - Experience conducting sophisticated and creative analysis of complex data and translate the results into actionable deliverables, messages, and presentations - Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software - Experience using strong customer service, communication, and interpersonal skills Preferred Qualifications: - Experience with advertising publishers and marketing/creative agencies - Master's degree or above in marketing, advertising, business or equivalent - 8+ years of digital ad sales as an individual contributor selling performances based advertising or similiar offering 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 - 144,500.00 - 195,400.00 USD annually", "summaryDescription" : "Consultant, Analytics & Insights at Amazon Advertising LLC. Skills: Analytics, Insights, Data analysis, Client consulting. Deliver insights for advertisers. Be an analytical consultant for advertisers", "postedDate" : "2026-06-13T09:42:10.264", "createdAt" : "2026-06-13T09:42:10.264", "lastUpdated" : "2026-06-15T04:39:48.842", "ingestTimestamp" : "2026-06-13T09:42:10.264", "mongoId" : "69cf3f092beec4dd3d934339", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381284/apply", "salaryAnnualMin" : 50000, "salaryAnnualMax" : 195400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Complex query writing", "Data translation", "Analytics", "Insights", "Client consulting", "Client facing", "Marketing strategy", "Brand advertising", "Media sales", "Online advertising", "Digital advertising", "Performance advertising" ], "skillCount" : 13, "jobCategory" : "marketing", "dataQualityScore" : 0.8888889, "_score" : 695.566, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2cb21074d8ee00a09dfad3", "title" : "Senior Data Analytics Engineer - Data Insights", "industry" : "Analyst", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Analytics Engineer in the US Technology industry, adjusted for remote work and senior experience level." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-15T23:07:52.302", "fingerprint" : "3d32bf54d98f801e0ecff998bdc052792522a4904ae971ab33b20187746547fe", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/20317e0a-22ee-4f85-b700-ed88a7b1d27b/apply", "externalId" : "20317e0a-22ee-4f85-b700-ed88a7b1d27b", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Dbt, Snowflake, AWS, GCP, Azure, Git, JSON", "professionalSkills" : [ "Data modeling", "Query optimization", "Analytics engineering", "Metric definition", "Semantic layers", "KPI frameworks" ], "hardSkillsList" : [ "Data transformation", "Data quality", "Performance optimization", "Maintainability" ], "hardSkills" : [ { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Maintainability", "level" : "intermediate" } ], "majorSkills" : "Data modeling, Analytics engineering, Data warehousing", "majorSkillsList" : [ "Data modeling", "Analytics engineering", "Data warehousing" ], "coreResponsibilities" : "Design data models, Build data models, Maintain data models, Develop business metrics, Standardize business dimensions, Understand decision-making needs, Translate needs into data products, Implement data transformations, Optimize data transformations, Ensure data quality, Ensure performance, Ensure maintainability, Build semantic layers, Evolve KPI frameworks, Define best practices, Collaborate with data engineering, Collaborate with analytics teams, Collaborate with business teams, Support end-to-end delivery", "teamCollaboration" : "Cross-functional stakeholders; Cross-functional environments; Data engineering teams; Analytics teams; Business teams", "projectManagementSkills" : [ "Manage complex data projects" ], "domainKnowledge" : "Modern data warehousing; Cloud data platforms", "domainList" : [ "modern-data-warehousing", "cloud-data-platforms" ], "domainSpecificKnowledge" : [ "Modern data warehousing", "Cloud data platforms" ], "toolProficiency" : [ "Dbt", "Git" ], "communicationSkills" : "Explain technical concepts", "documentationSkills" : "Documentation skills", "continuousLearning" : "Learning and development programs", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "specialRequirements" : "Ownership, Autonomy", "qualificationsBasic" : "5+ years of experience, Expertise in SQL, 3+ years of experience with Python, 3+ years of experience with dbt", "qualificationsPreferred" : "Familiarity with cloud platforms, Familiarity with source control tools, Experience with semi-structured data formats, Experience with BI tools, PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design, build, and maintain scalable data models, transformations, and pipelines using modern analytics engineering practices in cloud data warehouse environments. Develop and standardize core business metrics and dimensions to enable consistent, self-service analytics across the organization. Partner with cross-functional stakeholders to understand decision-making needs and translate them into reliable analytical data products. Implement and optimize data transformations using tools such as dbt, ensuring high data quality, performance, and maintainability. Build and evolve semantic layers and KPI frameworks that support dashboards, reporting, experimentation, and advanced analytics use cases. Define best practices for data modeling, metric definitions, and analytics engineering standards across teams. Collaborate with data engineering, analytics, and business teams to support end-to-end delivery of data-driven solutions. Requirements: 5+ years of experience in data analytics engineering, data modeling, BI engineering, or similar roles. Strong expertise in SQL, with experience in data modeling, query optimization, and working with large-scale datasets. 3+ years of experience with Python and dbt for data transformation and analytics engineering workflows. Deep understanding of modern data warehousing concepts and cloud data platforms such as Snowflake or similar. Experience building metrics layers, semantic models, and self-service analytics environments. Strong analytical and problem-solving skills with the ability to manage multiple complex data projects. Excellent communication and documentation skills, with the ability to explain technical concepts to non-technical audiences. Experience working in remote, cross-functional environments with strong ownership and autonomy. Familiarity with cloud platforms (AWS, GCP, or Azure) and source control tools such as Git is a plus. Experience with semi-structured data formats (e.g., JSON) and BI tools is preferred. Benefits: Competitive compensation package with potential equity participation. Unlimited paid time off and paid company holidays. Fully covered medical insurance, with additional dental and vision coverage. Comprehensive health, life, disability, and wellness benefits. Monthly remote work stipend and equipment support. 401(k) retirement plan with company matching. Paid volunteer days to support community and CSR initiatives. Learning and development programs through dedicated internal platforms. Flexible remote work environment with optional access to office locations in major U.S. cities. ## 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" : "Senior Data Analytics Engineer - Data Insights. Skills: Data modeling, Analytics engineering, Data warehousing. Design data models. Build data models", "postedDate" : "2026-06-11T04:51:52.920", "createdAt" : "2026-06-11T04:51:52.920", "lastUpdated" : "2026-06-15T23:07:52.302", "ingestTimestamp" : "2026-06-14T22:12:07.060", "mongoId" : "6a2cb21074d8ee00a09dfad3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data transformation", "Data quality", "Performance optimization", "Maintainability", "Data modeling", "Analytics engineering", "Data warehousing", "Query optimization", "Metric definition", "Semantic layers", "KPI frameworks", "Manage complex data projects", "Modern data warehousing", "Cloud data platforms", "Dbt", "Git" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 694.7953, "daysOld" : 4, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "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, "_score" : 692.1932, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c5e4374d8ee00a08e294b", "title" : "Senior Software Engineer, Data Platform Insights", "company" : "Bolt Technology", "industry" : "Technology", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Senior Software Engineer in Warsaw, Poland, adjusted for the technology industry and company size." }, "location" : "Warsaw, Poland", "locations" : [ "Warsaw", "Poland" ], "timestamp" : "2026-06-15T02:40:15.951", "fingerprint" : "8dd9b55a1afe73ce43297f2d7228d606413412feb6663706717bd1ecf4744abd", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://bolt.eu/en/careers/positions/8576105002?gh_jid=8576105002", "externalId" : "8576105002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Warsaw", "state" : "Masovian Voivodeship", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.2319581,21.0067249" } ], "locationText" : "Warsaw, Masovian Voivodeship, Poland", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Databricks, Airflow, Terraform, AWS, Kubernetes, dbt, Delta Lake, Apache Spark, GitHub Actions", "professionalSkills" : [ "Data modelling", "Data products", "Customer success", "Pipeline failures", "Cost-efficient", "CI/CD workflows", "Engineering fundamentals", "Adaptability", "Automation", "Observability" ], "hardSkillsList" : [ "Data engineering", "Software engineering", "Distributed systems", "Compute engines", "Data products development", "Data modelling", "Workflow orchestration", "Infrastructure management", "CI/CD implementation", "Observability implementation" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Software engineering", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Compute engines", "level" : "intermediate" }, { "name" : "Data products development", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "Workflow orchestration", "level" : "intermediate" }, { "name" : "Infrastructure management", "level" : "intermediate" }, { "name" : "CI/CD implementation", "level" : "intermediate" }, { "name" : "Observability implementation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Platform, Data Products, Infrastructure, Frameworks", "majorSkillsList" : [ "Data Platform", "Data Products", "Infrastructure", "Frameworks" ], "coreResponsibilities" : "Build and evolve platform, Manage high-quality data products, Make data reliable, Make data accessible, Power decisions at scale, Own infrastructure and frameworks, Streamline development, Streamline testing, Streamline maintenance, Turn petabytes of data into models, Turn petabytes of data into metrics, Provide tools for dashboards, Provide tools for data applications, Provide tools for chatting with data, Work with data producers, Work with data consumers, Understand customer needs, Understand customer challenges, Seek continuous improvements, Drive complex projects, Own and evolve foundational infrastructure, Own and evolve foundational frameworks, Support building dbt on Databricks, Support testing dbt on Databricks, Support deploying dbt on Databricks, Ensure customer success, Help data practitioners use platform, Keep Databricks jobs reliable, Keep Databricks jobs observable, Keep Databricks jobs cost-efficient, Detect pipeline failures, Surface areas for improvement, Keep Looker running smoothly, Serve queries over petabytes of data, Enable new ways to use data, Build CI/CD workflows, Validate data products, Test data products, Deploy data products reliably", "teamCollaboration" : "Cross-team projects; Technical colleagues; Non-technical colleagues", "projectManagementSkills" : [ "Lead complex projects", "Deliver complex projects" ], "domainKnowledge" : "Data platform insights; Data products; Data ecosystem; Modern data stack; Large-scale distributed data systems; Compute engines; CI/CD practices; Automation; Testing; Observability", "domainList" : [ "data-platform-insights", "data-products", "data-ecosystem", "modern-data-stack", "large-scale-distributed-data-systems", "compute-engines", "ci-cd-practices", "automation", "testing", "observability" ], "domainSpecificKnowledge" : [ "Data platform insights", "Data products", "Data ecosystem", "Modern data stack", "Large-scale distributed data systems", "Compute engines", "CI/CD practices", "Automation", "Testing", "Observability" ], "toolProficiency" : [ "dbt", "Databricks", "Airflow", "Terraform", "AWS", "Kubernetes", "GitHub Actions", "Looker" ], "communicationSkills" : "Communication skills; Spoken English; Written English", "innovationCreativity" : "Enable new ways to use data", "problemSolvingSkills" : "Detect pipeline failures; Surface areas for improvement", "specialRequirements" : "Minimum 2 days in office", "qualificationsBasic" : "5 years software engineering experience, Hands-on experience with large-scale distributed data systems, Proficient in Python or another mainstream OOP language, Familiar with modern data stack, Excellent communication skills, Fluent in spoken and written English, Comfortable collaborating with technical and non-technical colleagues, Understand modern CI/CD practices, Value automation, testing, and observability, Driven by customer success, Track record of leading and delivering complex, cross-team projects", "qualificationsPreferred" : "Experience with Apache Spark, Experience with Databricks, Experience with Airflow, Experience with Delta Lake, Experience with equivalents to dbt, Databricks, Airflow, Delta Lake", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "We’re looking for a Senior Software Engineer to join Bolt’s Data Platform Insights team. You’ll build and evolve the platform that helps Bolt teams create and manage high-quality data products — making data reliable and accessible, to power decisions at massive scale. About us With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people. We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or disability. Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission! About the role Engineers in the Insights team play a key role in shaping Bolt’s data ecosystem. You will own the infrastructure and frameworks that streamline development, testing, and maintenance of data products - turning petabytes of data into reusable models and metrics. Teams across the organisation will create dashboards, custom data applications, and chat with data using the tools you will provide. In this role, you will work closely with the data producers and consumers to understand their needs and challenges, continuously seeking improvements, and driving complex projects from idea to completion. We work with a wide range of technologies - Python libraries and CLIs; dbt for data modelling, workflows orchestration and execution with Airflow and Databricks; infrastructure with Terraform, AWS, and Kubernetes Main tasks and responsibilities: Own and evolve the foundational infrastructure and frameworks that support building, testing, and deploying dbt on Databricks, with 3,500+ dbt models. Ensure customer success by helping data practitioners use the platform effectively and in a self-service manner. Keep 800+ daily Databricks jobs reliable, observable, and cost-efficient with an observability layer that detects pipeline failures and surfaces areas for improvement. Keep Looker running smoothly for the 4,000 Bolt employees, serving 300,000 queries daily over petabytes of data. Seek and enable new ways to use data, such as chatting with data agents. Building CI/CD workflows with GitHub Actions that validate, test, and deploy data products reliably. About you: You have at least 5 years of software engineering experience, including hands-on experience with large-scale distributed data systems or compute engines like Apache Spark. Proficient in Python or another mainstream OOP language. We care about strong engineering fundamentals and adaptability. Familiar with the modern data stack (dbt, Databricks, Airflow, Delta Lake, or equivalents). You have excellent communication skills, are fluent in spoken and written English, and you’re comfortable collaborating with both technical and non-technical colleagues. You understand modern CI/CD practices and value automation, testing, and observability as core engineering principles. You’re driven by customer success and have a track record of leading and delivering complex, cross-team projects. Why you’ll love it here: Play a direct role in shaping the future of mobility. Impact millions of customers and partners in 600+ cities across 50+ countries. Work in fast-moving autonomous teams with some of the smartest people in the world. Accelerate your professional growth with unique career opportunities. Get a rewarding salary and stock option package that lets you focus on doing your best work. Enjoy the flexibility of working in a hybrid mode with a minimum of 2 days in the office each week to foster strong connections and teamwork. Take care of your physical and mental health with our wellness perks. *Some perks may differ depending on your location and role. #LI-Hybrid", "summaryDescription" : "Senior Software Engineer, Data Platform Insights at Bolt Technology. Skills: Data Platform, Data Products, Infrastructure, Frameworks. Build and evolve platform. Manage high-quality data products", "postedDate" : "2026-06-12T21:56:40.951", "createdAt" : "2026-06-12T21:56:40.951", "lastUpdated" : "2026-06-15T02:40:15.951", "ingestTimestamp" : "2026-06-12T21:56:40.951", "mongoId" : "6a2c5e4374d8ee00a08e294b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data engineering", "Software engineering", "Distributed systems", "Compute engines", "Data products development", "Data modelling", "Workflow orchestration", "Infrastructure management", "CI/CD implementation", "Observability implementation", "Leadership", "Data Platform", "Data Products", "Infrastructure", "Frameworks", "Data products", "Customer success", "Pipeline failures", "Cost-efficient", "CI/CD workflows", "Engineering fundamentals", "Adaptability", "Automation", "Observability", "Lead complex projects", "Deliver complex projects", "Data platform insights", "Data ecosystem", "Modern data stack", "Large-scale distributed data systems", "CI/CD practices", "Testing", "dbt", "Databricks", "Airflow", "Terraform", "AWS", "Kubernetes", "GitHub Actions", "Looker" ], "skillCount" : 40, "jobCategory" : "engineering", "jobSubcategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 688.89386, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c956674d8ee00a098d02f", "title" : "Graduate Leadership Program | Data Analyst", "company" : "Further", "industry" : "Consulting", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Data Analyst in Cleveland, adjusted for the consulting industry and company size." }, "location" : "Cleveland, Ohio", "locations" : [ "Cleveland", "Ohio" ], "timestamp" : "2026-06-15T11:12:13.600", "fingerprint" : "042afe1ce5d0aebfda82a136024a54c16bb8041ac80f65e8369aa6b94027b479", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/furtherearlycareer/jobs/8384017002", "externalId" : "8384017002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cleveland", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "41.4996574,-81.6936772" } ], "locationText" : "Cleveland, Ohio, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Adobe Analytics, Google Analytics, Looker, Tableau, AI tools", "professionalSkills" : [ "Client strategy", "Data integrity", "Business ideas" ], "hardSkillsList" : [ "Statistical analysis", "Data visualization", "Experimentation lifecycle", "Hypothesis testing" ], "softSkillsList" : [ "Mentorship" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Experimentation lifecycle", "level" : "intermediate" }, { "name" : "Hypothesis testing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentorship" } ], "majorSkills" : "Data analysis, AI integration", "majorSkillsList" : [ "Data analysis", "AI integration" ], "coreResponsibilities" : "Transform datasets, Derive actionable insights, Ensure data integrity, Support experimentation lifecycle, Design statistically sound hypotheses, Analyze A/B test results, Validate business ideas, Identify significant trends, Gather requirements, Communicate internally, Communicate externally, Solve business problems", "teamCollaboration" : "High-performing teams; Cross-functional experience", "domainKnowledge" : "Modern tools; Client challenges; Technology solutions; Data insights; Business decisions; Professional services; Client projects; Strategic solutions; Client success; Complex datasets; Actionable insights; Client strategy; Data integrity; Experimentation lifecycle; Statistically sound hypotheses; A/B test results; Business ideas; Client initiatives; Stakeholder interaction; Requirements gathering; Hypothesis-driven approach; Business problems; University theory; Real-world impact; Industry leaders; Immersive workshops; Shadow rotations; Learning by doing; Business operations; Product strategy; Client delivery; Real-world projects; Meaningful mentors; Professional bonds; Social bonds; Support network; Cutting-edge tech; Industry-leading technology; AI tools; Digital innovation; AI tools; Daily workflow; Digital economy; Research; Statistical literacy; Data visualization; Generative AI; AI prompts; Accelerate delivery; Speed up tasks; Automate workflows; High-quality work", "domainList" : [ "modern-tools", "client-challenges", "technology-solutions", "data-insights", "business-decisions", "professional-services", "client-projects", "strategic-solutions", "client-success", "complex-datasets", "actionable-insights", "client-strategy", "data-integrity", "experimentation-lifecycle", "statistically-sound-hypotheses", "a-b-test-results", "business-ideas", "client-initiatives", "stakeholder-interaction", "requirements-gathering", "hypothesis-driven-approach", "business-problems", "university-theory", "real-world-impact", "industry-leaders", "immersive-workshops", "shadow-rotations", "learning-by-doing", "business-operations", "product-strategy", "client-delivery", "real-world-projects", "meaningful-mentors", "professional-bonds", "social-bonds", "support-network", "cutting-edge-tech", "industry-leading-technology", "ai-tools", "digital-innovation", "daily-workflow", "digital-economy", "research", "statistical-literacy", "data-visualization", "generative-ai", "ai-prompts", "accelerate-delivery", "speed-up-tasks", "automate-workflows", "high-quality-work" ], "domainSpecificKnowledge" : [ "Modern tools", "Client challenges", "Technology solutions", "Data insights", "Business decisions", "Professional services", "Client projects", "Strategic solutions", "Client success", "Complex datasets", "Actionable insights", "Client strategy", "Data integrity", "Experimentation lifecycle", "Statistically sound hypotheses", "A/B test results", "Business ideas", "Client initiatives", "Stakeholder interaction", "Requirements gathering", "Hypothesis-driven approach", "Business problems", "University theory", "Real-world impact", "Industry leaders", "Immersive workshops", "Shadow rotations", "Learning by doing", "Business operations", "Product strategy", "Client delivery", "Real-world projects", "Meaningful mentors", "Professional bonds", "Social bonds", "Support network", "Cutting-edge tech", "Industry-leading technology", "AI tools", "Digital innovation", "AI tools", "Daily workflow", "Digital economy", "Research", "Statistical literacy", "Data visualization", "Generative AI", "AI prompts", "Accelerate delivery", "Speed up tasks", "Automate workflows", "High-quality work" ], "toolProficiency" : [ "Generative AI tools" ], "communicationSkills" : "Transparent communication; Clear communication", "continuousLearning" : "Hands-on mentorship; Certifications; Immersive Learning; Immersive workshops; Shadow rotations; Learning by doing; Mentorship that Matters; Training on AI tools", "innovationCreativity" : "Experiment faster; Digital innovation", "problemSolvingSkills" : "Solve business problems; Hypothesis-driven approach", "specialRequirements" : "Tuesday in-office, Wednesday in-office, Thursday in-office", "outcomesObjectives" : "Turn data into information; Turn information into insights; Turn insights into business decisions", "qualificationsBasic" : "Bachelor's or Master's Degree, Beginner statistical literacy, Basic data visualization, Baseline Generative AI understanding", "qualificationsPreferred" : "SQL proficiency, Python proficiency, R proficiency, Relevant internships, Project experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Entry Level Analyst Launch your Career at Further Are you graduating with a bachelor’s or master’s degree and ready to dive into the world of data and AI? Further’s Graduate hiring program offers a full-time role where you'll apply your university training to real-world client challenges and technology solutions. Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. You’ll drive powerful insights for brands like Verizon, American Cancer Society, Behr Paint, and more right from the start. Located in the heart of Cleveland in the Flats East Bank, you’ll gain cross-functional experience and build a strong foundation to kickstart your career by turning data into information, information into insights, and insights into business decisions in a professional services environment. Your first year will include: Contributing to client projects and strategic solutions early. Growing your skillset with certifications and hands-on mentorship. Helping shape our client success stories. Your work will matter. While starting with support, you will progress to completing tasks and assignments independently with limited oversight by the end of the year. Contributing to a positive and fun work environment, building strong relationships across the company beyond just your team. Transform complex datasets into compelling narratives using modern tools (e.g., Adobe Analytics, Google Analytics, Looker, Tableau, etc.). You won’t just build dashboards; you will derive actionable insights that drive client strategy and ensure data integrity. Support the full experimentation lifecycle by helping design statistically sound hypotheses and analyzing A/B test results. You will move beyond crunching numbers to validate business ideas, identifying significant trends that prove (or disprove) the impact of client initiatives. Stakeholder interaction and communication including requirements gathering, transparent and clear communication both internally and externally, and using our hypothesis-driven approach to solve business problems. Why Further? We believe great careers are built on strong foundations. Our Graduate Program is designed as a launchpad, bridging university theory with real-world impact and helping high-potential graduates grow into industry leaders. Immersive Learning: Your first three months are a curated mix of immersive workshops, shadow rotations, and learning by doing. You’ll gain a 360-degree view of how our business operates, from product strategy to client delivery. Hands-on Experience Early: You’ll be embedded early into high-performing teams where your ideas are heard and your work reaches our clients, giving you exposure to real-world projects from the start. Mentorship that Matters: Our program is designed around strong mentorship and connection, pairing you with meaningful mentors to shape your career. Build deep professional and social bonds, ensuring you have a support network of mentors and fellow graduates to grow alongside. Technology at your Fingertips: To do your best work, you need the best tools. You will be equipped with cutting-edge tech and industry-leading technology from your first day. You’ll have the resources to work smarter, experiment faster, and stay at the forefront of digital innovation. Harnessing the power of AI: You will receive training on how to integrate AI tools into your daily workflow, ensuring you stay at the forefront of the modern digital economy. What we’re looking for: You don’t need to check every box — what matters most is your drive to grow. Fast learner, committed to continuous learning with passion, curiosity, and some of the following foundations: Required: Completed a Bachelor’s or Master’s Degree between Fall 2025 and Spring 2026 in Statistics, Mathematics, Research, Economics, Quantitative Psychology / Sociology, or other applicable degree. Beginner proficiency or coursework in research, basic statistical literacy, basic data visualization. AI Fluency & Curiosity: A baseline understanding of Generative AI tools (such as ChatGPT, Claude, or GitHub Copilot) with a demonstrated ability to apply prompts to accelerate delivery. We are looking for builders who leverage AI to speed up tasks, automate workflows, and proactively ship high-quality work faster than traditional methods allow. Preferred: SQL, Python, or R, and/or relevant internships or project experience. Additional Notes: This is a hybrid position. Tuesday, Wednesday, and Thursday are required in-office in Cleveland, OH Please note, we do not offer sponsorship for this role. Rewards & Benefits at Further Being part of Further means joining a group of incredible people dedicated to delivering value, impact, and innovation through true grit and agility. We believe in taking care of ourselves and each other to continuously improve each day. Our total rewards program is designed for your protection, peace of mind, and overall wellbeing. In addition to the basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more. If all this resonates with you and you want to add to our team and culture, APPLY TODAY!", "summaryDescription" : "Graduate Leadership Program | Data Analyst at Further. Skills: Data analysis, AI integration. Transform datasets. Derive actionable insights", "postedDate" : "2026-06-13T21:30:36.385", "createdAt" : "2026-06-13T21:30:36.385", "lastUpdated" : "2026-06-15T11:12:13.600", "ingestTimestamp" : "2026-06-13T21:30:36.385", "mongoId" : "6a2c956674d8ee00a098d02f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Data visualization", "Experimentation lifecycle", "Hypothesis testing", "Mentorship", "Data analysis", "AI integration", "Client strategy", "Data integrity", "Business ideas", "Modern tools", "Client challenges", "Technology solutions", "Data insights", "Business decisions", "Professional services", "Client projects", "Strategic solutions", "Client success", "Complex datasets", "Actionable insights", "Statistically sound hypotheses", "A/B test results", "Client initiatives", "Stakeholder interaction", "Requirements gathering", "Hypothesis-driven approach", "Business problems", "University theory", "Real-world impact", "Industry leaders", "Immersive workshops", "Shadow rotations", "Learning by doing", "Business operations", "Product strategy", "Client delivery", "Real-world projects", "Meaningful mentors", "Professional bonds", "Social bonds", "Support network", "Cutting-edge tech", "Industry-leading technology", "AI tools", "Digital innovation", "Daily workflow", "Digital economy", "Research", "Statistical literacy", "Generative AI", "AI prompts", "Accelerate delivery", "Speed up tasks", "Automate workflows", "High-quality work", "Generative AI tools" ], "skillCount" : 57, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 688.81696, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c5e4374d8ee00a08e294a", "title" : "Senior Software Engineer, Data Platform Insights", "company" : "Bolt Technology", "industry" : "Technology", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Software Engineer in Warsaw, Poland, adjusted for the technology industry and company size." }, "location" : "Warsaw, Poland", "locations" : [ "Warsaw", "Poland" ], "timestamp" : "2026-06-15T01:49:04.421", "fingerprint" : "72563e0c7c0268f946bf5e9ff28a716e41aa0f6282091a5f18b80be8ae3fee2c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://bolt.eu/en/careers/positions/8551666002?gh_jid=8551666002", "externalId" : "8551666002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Warsaw", "state" : "Masovian Voivodeship", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.2319581,21.0067249" } ], "locationText" : "Warsaw, Masovian Voivodeship, Poland", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, OOP, dbt, Databricks, Airflow, Terraform, AWS, Kubernetes, Delta Lake, Looker, GitHub Actions, Apache Spark", "professionalSkills" : [ "Data modelling", "Data products", "Customer success", "CI/CD", "Automation", "Observability" ], "hardSkillsList" : [ "Data engineering", "Platform development", "Workflow orchestration", "Infrastructure management", "CI/CD workflows" ], "softSkillsList" : [ "Adaptability" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Platform development", "level" : "intermediate" }, { "name" : "Workflow orchestration", "level" : "intermediate" }, { "name" : "Infrastructure management", "level" : "intermediate" }, { "name" : "CI/CD workflows", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Adaptability" } ], "majorSkills" : "Data Platform, Data Products, Infrastructure, Frameworks", "majorSkillsList" : [ "Data Platform", "Data Products", "Infrastructure", "Frameworks" ], "coreResponsibilities" : "Build and evolve platform, Manage high-quality data products, Make data reliable, Make data accessible, Power decisions at scale, Own infrastructure and frameworks, Streamline development, Streamline testing, Streamline maintenance, Turn data into models, Turn data into metrics, Provide tools for dashboards, Provide tools for applications, Provide tools for chat, Understand customer needs, Understand customer challenges, Seek continuous improvements, Drive complex projects, Own foundational infrastructure, Own foundational frameworks, Support building dbt, Support testing dbt, Support deploying dbt, Ensure customer success, Help practitioners use platform, Keep Databricks jobs reliable, Keep Databricks jobs observable, Keep Databricks jobs cost-efficient, Detect pipeline failures, Surface areas for improvement, Keep Looker running smoothly, Serve queries over data, Enable new ways to use data, Build CI/CD workflows, Validate data products, Test data products, Deploy data products", "teamCollaboration" : "Work with data producers; Work with data consumers; Collaborate with technical colleagues; Collaborate with non-technical colleagues; Cross-team projects", "projectManagementSkills" : [ "Lead complex projects", "Deliver complex projects" ], "domainKnowledge" : "Data Platform Insights; Data products; Modern data stack; Distributed data systems; Compute engines; CI/CD practices", "domainList" : [ "data-platform-insights", "data-products", "modern-data-stack", "distributed-data-systems", "compute-engines", "ci-cd-practices" ], "domainSpecificKnowledge" : [ "Data Platform Insights", "Data products", "Modern data stack", "Distributed data systems", "Compute engines", "CI/CD practices" ], "toolProficiency" : [ "dbt", "Databricks", "Airflow", "Terraform", "AWS", "Kubernetes", "Looker", "GitHub Actions", "Apache Spark" ], "communicationSkills" : "English fluency", "innovationCreativity" : "Enable new ways to use data", "problemSolvingSkills" : "Detect pipeline failures; Surface areas for improvement", "qualificationsBasic" : "5 years software engineering experience, Hands-on experience with large-scale distributed data systems, Proficient in Python, Fluent in spoken and written English", "qualificationsPreferred" : "Experience with Apache Spark, Familiar with modern data stack, Comfortable collaborating with technical colleagues, Comfortable collaborating with non-technical colleagues, Understand modern CI/CD practices, Value automation, Value testing, Value observability, Driven by customer success, Track record of leading projects, Track record of delivering projects", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "We’re looking for a Senior Software Engineer to join Bolt’s Data Platform Insights team. You’ll build and evolve the platform that helps Bolt teams create and manage high-quality data products — making data reliable and accessible, to power decisions at massive scale. About us With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people. We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or disability. Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission! About the role Engineers in the Insights team play a key role in shaping Bolt’s data ecosystem. You will own the infrastructure and frameworks that streamline development, testing, and maintenance of data products - turning petabytes of data into reusable models and metrics. Teams across the organisation will create dashboards, custom data applications, and chat with data using the tools you will provide. In this role, you will work closely with the data producers and consumers to understand their needs and challenges, continuously seeking improvements, and driving complex projects from idea to completion. We work with a wide range of technologies - Python libraries and CLIs; dbt for data modelling, workflows orchestration and execution with Airflow and Databricks; infrastructure with Terraform, AWS, and Kubernetes Main tasks and responsibilities: Own and evolve the foundational infrastructure and frameworks that support building, testing, and deploying dbt on Databricks, with 3,500+ dbt models. Ensure customer success by helping data practitioners use the platform effectively and in a self-service manner. Keep 800+ daily Databricks jobs reliable, observable, and cost-efficient with an observability layer that detects pipeline failures and surfaces areas for improvement. Keep Looker running smoothly for the 4,000 Bolt employees, serving 300,000 queries daily over petabytes of data. Seek and enable new ways to use data, such as chatting with data agents. Building CI/CD workflows with GitHub Actions that validate, test, and deploy data products reliably. About you: You have at least 5 years of software engineering experience, including hands-on experience with large-scale distributed data systems or compute engines like Apache Spark. Proficient in Python or another mainstream OOP language. We care about strong engineering fundamentals and adaptability. Familiar with the modern data stack (dbt, Databricks, Airflow, Delta Lake, or equivalents). You have excellent communication skills, are fluent in spoken and written English, and you’re comfortable collaborating with both technical and non-technical colleagues. You understand modern CI/CD practices and value automation, testing, and observability as core engineering principles. You’re driven by customer success and have a track record of leading and delivering complex, cross-team projects. Why you’ll love it here: Play a direct role in shaping the future of mobility. Impact millions of customers and partners in 600+ cities across 50+ countries. Work in fast-moving autonomous teams with some of the smartest people in the world. Accelerate your professional growth with unique career opportunities. Get a rewarding salary and stock option package that lets you focus on doing your best work. Enjoy the flexibility of working in a hybrid mode with a minimum of 2 days in the office each week to foster strong connections and teamwork. Take care of your physical and mental health with our wellness perks. *Some perks may differ depending on your location and role. #LI-Hybrid", "summaryDescription" : "Senior Software Engineer, Data Platform Insights at Bolt Technology. Skills: Data Platform, Data Products, Infrastructure, Frameworks. Build and evolve platform. Manage high-quality data products", "postedDate" : "2026-06-12T21:52:59.448", "createdAt" : "2026-06-12T21:52:59.448", "lastUpdated" : "2026-06-15T01:49:04.421", "ingestTimestamp" : "2026-06-12T21:52:59.448", "mongoId" : "6a2c5e4374d8ee00a08e294a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data engineering", "Platform development", "Workflow orchestration", "Infrastructure management", "CI/CD workflows", "Adaptability", "Data Platform", "Data Products", "Infrastructure", "Frameworks", "Data modelling", "Data products", "Customer success", "CI/CD", "Automation", "Observability", "Lead complex projects", "Deliver complex projects", "Data Platform Insights", "Modern data stack", "Distributed data systems", "Compute engines", "CI/CD practices", "dbt", "Databricks", "Airflow", "Terraform", "AWS", "Kubernetes", "Looker", "GitHub Actions", "Apache Spark" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 688.7882, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2cb0ea74d8ee00a09db7cf", "title" : "Senior Sales Insights Analyst", "company" : "Vertice", "industry" : "Business Operations", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Sales Insights Analyst in New York, adjusted for the SaaS industry and company size." }, "location" : "New York City", "locations" : [ "New York City" ], "timestamp" : "2026-06-15T05:23:02.241", "fingerprint" : "27e15da37e0e29ffb9d9c43dd6df268c976ee5cd8e18aed3befa5f8a16214c31", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/vertice/5c895fe9-3932-4aa1-a9c3-65d6a988755f/application", "externalId" : "5c895fe9-3932-4aa1-a9c3-65d6a988755f", "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" : 2, "experienceMaxYears" : 4, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL", "professionalSkills" : [ "Business analytics", "Process improvements", "Data analysis", "Financial impact analysis" ], "hardSkillsList" : [ "Data extraction", "Data analysis", "Dashboard design" ], "hardSkills" : [ { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Dashboard design", "level" : "intermediate" } ], "majorSkills" : "Sales insights, Data analysis, Executive presentations", "majorSkillsList" : [ "Sales insights", "Data analysis", "Executive presentations" ], "coreResponsibilities" : "Partner with sales organization, Drive revenue growth, Demonstrate financial impact, Analyze prospect SaaS stacks, Identify cost-saving opportunities, Present opportunities to executives, Build dynamic dashboards, Build automations", "teamCollaboration" : "Work with Sales team; Cross-functional work", "domainKnowledge" : "SaaS stacks; Technology spend management", "domainList" : [ "saas-stacks", "technology-spend-management" ], "domainSpecificKnowledge" : [ "SaaS stacks", "Technology spend management" ], "toolProficiency" : [ "Internal tooling" ], "communicationSkills" : "Presenting insights; Presenting findings", "problemSolvingSkills" : "Data analysis", "specialRequirements" : "2 days a week in office", "qualificationsBasic" : "2-4 years experience, Extracting and analyzing data, Presenting insights to others, Delivering results cross-functionally", "qualificationsPreferred" : "Experience in fast-paced environment, Translating complex data analysis, Presenting findings to executives, Python or SQL experience, Designing dashboards experience, Work ethic, Humility, kindness and respect", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Vertice was launched in 2022 to transform how companies manage their technology spend. Our agentic workflows, AI insights and expert buyers empower companies to buy smarter and scale faster, with Finance and Procurement leaders in over 30 countries worldwide trusting Vertice to manage their software purchases. In the software category alone, we have managed over $10bn in spend and have a track record of delivering 20% savings and halving procurement cycles. Headquartered in London with offices across the world including New York, Brno, Sydney and Johannesburg, we’re shaping the future of procurement on a global scale. And we’re just getting started. Founded by serial entrepreneurs Roy Tuvey and Eldar Tuvey, who have a track record of building two category-defining technology companies to exit, Vertice has seen a remarkable 13X revenue growth in two years. This trajectory earned us the #2 spot on the Sunday Times' 2026 Tech 100 list, following our recognition as 2025’s fastest-growing startup in the UK by the FT’s Sifted, and as fourth in Europe. Following our Series C, we have secured $100M+ in funding from leading investors including Bessemer Venture Partners, 83North and Lakestar, and are expanding our reach across our team. Do you want to make an outsized impact, work with exceptional people, and be part of a highly motivated team? Come and join our mission to build the Intelligent Procurement Platform. Your Role: As a Commercial Analyst at Vertice, you will be a strategic partner to our Sales organization, driving revenue growth by demonstrating the financial impact of our platform to prospective clients. You will own the critical analysis of our prospects' SaaS stacks, identifying and presenting compelling cost-saving opportunities directly to C-level executives at a diverse range of companies, from high-growth startups to established enterprise brands. You'll be reporting to the US Analytics Manager, and working closely with the Sales team from sales acceptance through deal closing activities. You'll also have other data focused responsibilities to provide our teams with the information and insights they need to work effectively, using our internal tooling to build dynamic dashboards and automations. Requirements: - You'll have 2-4 years of experience in a challenging role in consulting, professional services or business analytics - You'll have strong experience extracting and analyzing data in a methodical manner and delivering process improvements to help teams work more efficiently - You'll be comfortable with moderately complex concepts, and be able to talk confidently when presenting insights to others, both internally and externally - You'll have demonstrable success in delivering results working cross-functionally with a flexible, agile, and adaptable approach; used to wearing multiple hats and you won't get easily overwhelmed - 2 days a week in our New York office Things we like to see: - Experience working in a fast-paced environment - Experience translating complex data analysis into clear, compelling narratives and presenting findings to executive-level audiences - Experience with Python or SQL with the ability and experience in designing dashboards - Strong work ethic with a \"get stuff done\" mentality - Humility, kindness and respect in working with others. We're hoping to create a supportive and caring culture of high performing people, and your attitude is just as important as your skillset - Individuals that are eager to start something new; to commit to an ambitious plan and co-create a memorable and meaningful company. Autonomy is a highly valued quality #LI-DNP Final things to note Vertice is an equal opportunities employer, although you must be legally able to work in the specified region of the job. Any personal data you provide will be processed in accordance with Vertice's privacy policy and applicable data protection law. We use AI-assisted tools to help us review and assess applications more efficiently. These tools support our Talent team but do not make hiring decisions autonomously. You have the right to contest any AI-assisted decision, and exercise your data subject rights by contacting us; please follow the instructions in our privacy policy. We like to deal directly with our candidates so no agencies please! If you aren’t sure this job applies to you, feel free to send your CV to careers@vertice.one, and we’ll be happy to take a look and see if you could be a good fit anywhere else in our business!", "summaryDescription" : "Senior Sales Insights Analyst at Vertice. Skills: Sales insights, Data analysis, Executive presentations. Partner with sales organization. Drive revenue growth", "createdAt" : "2026-06-14T04:45:13.228", "lastUpdated" : "2026-06-15T05:23:02.241", "ingestTimestamp" : "2026-06-14T04:45:13.228", "mongoId" : "6a2cb0ea74d8ee00a09db7cf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data extraction", "Data analysis", "Dashboard design", "Sales insights", "Executive presentations", "Business analytics", "Process improvements", "Financial impact analysis", "SaaS stacks", "Technology spend management", "Internal tooling" ], "skillCount" : 11, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 687.47174, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "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, "_score" : 685.9278, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca68e74d8ee00a09bc2ec", "title" : "Retail Operations & Insights, Sr. Analyst", "company" : "Athena Club", "industry" : "Retail", "salary" : { "min" : 75000.0, "max" : 90000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T12:29:54.850", "fingerprint" : "d9f43855293bdbb0617ecc76ac7700ab08347bb5b10286cf809b4df8e6583da8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/athenaclub/jobs/4253013009", "externalId" : "4253013009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "softSkillsList" : [ "Collaborative mindset" ], "softSkills" : [ { "name" : "Collaborative mindset" } ], "majorSkills" : "Retail Operations, Data Analysis", "majorSkillsList" : [ "Retail Operations", "Data Analysis" ], "coreResponsibilities" : "Investigate root causes, Drive corrective actions", "teamCollaboration" : "Internal stakeholders; External stakeholders", "toolProficiency" : [ "Microsoft Excel", "Google Sheets" ], "communicationSkills" : "Written communication; Verbal communication", "problemSolvingSkills" : "Root cause analysis; Problem-solving", "qualificationsBasic" : "Proficiency in Microsoft Excel, Proficiency in Google Sheets, Written communication skills, Verbal communication skills, Manage multiple priorities, Work in a deadline-driven environment", "qualificationsPreferred" : "Warehouse experience with Walmart, Warehouse experience with Target, Warehouse experience with Amazon", "remoteFriendly" : false, "rawDescription" : "Athena Club is building the next-generation personal care company, and we’re just getting started. Over the past 12 months, we’ve doubled our business, accelerated our retail momentum, and expanded our reach as more customers turn to Athena for beautifully designed, high-performance essentials. We’re redefining everyday personal care through innovation, transparency, and design-led thinking, transforming daily routines into rituals. With strengths in world-class product development, compelling storytelling, and a brand built to stand out on shelf and in culture, we’re entering an exciting new phase of category expansion and national growth. We’re looking for experienced, entrepreneurial leaders who thrive in fast-moving environments, take full ownership, and know how to scale teams, systems, and outcomes. This role is a rare opportunity to help shape Athena Club’s next chapter, driving strategy, execution, and long-term impact as we build an iconic modern personal care brand. The Role We are looking for a detail-oriented and collaborative Retail Operations investigate root causes and drive corrective actions. Warehouse experience with Walmart, Target, Amazon, or similar accounts a strong plus. Proficiency in Microsoft Excel and Google Sheets. Strong written and verbal communication skills with the ability to manage multiple priorities across internal and external stakeholders. Highly organized, proactive, and comfortable working in a deadline-driven environment. A collaborative mindset with a bias toward problem-solving and continuous improvement. The (+) Extras Medical, Dental, Vision insurance Life + Disability HSA or FSA Commuter benefits 401K Weekly team lunches Optional Bi-Weekly Team Workouts Annual Offsite “Camp Athena Club” Salary Range $75,000—$90,000 USD Equal Opportunity & Inclusion Athena Club is an equal opportunity employer and is committed to building an inclusive workplace. We do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, age, national origin, citizenship status, disability, veteran status, genetic information, marital status, or any other characteristic protected by applicable law. We believe diverse perspectives strengthen our team and our products, and we encourage people from all backgrounds to apply.", "summaryDescription" : "Retail Operations & Insights, Sr. Analyst at Athena Club. Skills: Retail Operations, Data Analysis. Investigate root causes. Drive corrective actions", "postedDate" : "2026-06-13T21:26:26.594", "createdAt" : "2026-06-13T21:26:26.594", "lastUpdated" : "2026-06-15T12:29:54.850", "ingestTimestamp" : "2026-06-13T21:26:26.594", "mongoId" : "6a2ca68e74d8ee00a09bc2ec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 90000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Collaborative mindset", "Retail Operations", "Data Analysis", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Microsoft Excel", "Google Sheets" ], "skillCount" : 12, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 677.62585, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "69164d9e70f0b99d586f2f43", "title" : "Coordinator, Consumer Insights", "company" : "Metro-Goldwyn-Mayer Studios Inc.", "industry" : "Marketing PR, Marketing, entertainment", "salary" : { "min" : 53200.0, "max" : 113700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Culver City, California, USA", "locations" : [ "Culver City, California, USA" ], "timestamp" : "2026-06-14T23:59:15.245", "fingerprint" : "4b623eea295c3164a8fb4d0b6cca04bd302e46ba1a6255b88d7219294629e4e8", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3123320/apply", "externalId" : "ad9159cc-00d7-4e1c-af14-5b0d6a4e0f24", "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", "experienceMinYears" : 2, "technicalSkills" : "Salesforce, Tableau, Excel, SAP", "professionalSkills" : [ "Data retrieval", "Financial management", "Budget tracking", "Purchase order management", "Vendor administration", "Contract management", "Research-backed recommendations" ], "hardSkillsList" : [ "Data manipulation", "Email engagement programs", "Lifecycle programs", "Nurture programs" ], "hardSkills" : [ { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Email engagement programs", "level" : "intermediate" }, { "name" : "Lifecycle programs", "level" : "intermediate" }, { "name" : "Nurture programs", "level" : "intermediate" } ], "majorSkills" : "Consumer insights, Data management, Financial processes", "majorSkillsList" : [ "Consumer insights", "Data management", "Financial processes" ], "coreResponsibilities" : "Architect databases, Maintain databases, Manage calendars, Schedule readouts, Oversee financial management, Track budgets, Manage purchase orders, Administer vendors, Navigate contract management, Coordinate contracts, Troubleshoot research challenges, Manage concurrent projects, Provide recommendations", "teamCollaboration" : "Cross-functional partners; Legal; Procurement; Vendors", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Theatrical performance; Entertainment landscape; Film research; Streaming film", "domainList" : [ "theatrical-performance", "entertainment-landscape", "film-research", "streaming-film" ], "domainSpecificKnowledge" : [ "Theatrical performance", "Entertainment landscape", "Film research", "Streaming film" ], "toolProficiency" : [ "Salesforce", "Tableau", "Excel", "SAP" ], "problemSolvingSkills" : "Troubleshoot research challenges", "qualificationsBasic" : "2+ years marketing experience, 1+ years Salesforce experience, 1+ years Tableau experience, 1+ years Vidyard experience, 1+ years Excel experience, 1+ years email engagement programs, 1+ years lifecycle/nurture programs, Excel data manipulation, Excel macros, Excel charts, Excel pivot tables, Tableau data manipulation, Tableau macros, Tableau charts, Tableau pivot tables", "qualificationsPreferred" : "Experience with SAP, Experience with contract management, Experience with major brand, Experience with entertainment company, Experience in project management, Experience in production management, Experience in e-commerce, Experience in start ups, Experience in advertising, Experience in commercial", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon/MGM Studios is seeking a highly organized and detail-oriented Research Coordinator to join our dynamic theatrical and streaming film research team. This pivotal role serves as the cornerstone of our team's organizational efficiency, managing critical data, schedules, and financial processes that drive our strategic decision-making in the ever-evolving entertainment landscape. As our Research Coordinator, you will: Architect and maintain comprehensive theatrical performance databases and research archives, ensuring quick data retrieval and preservation of institutional knowledge. Manage complex calendars and schedule crucial research readouts across multiple time zones, balancing the needs of various stakeholders. Oversee financial management for research projects, including budget tracking, purchase order management, and vendor administration. Navigate contract management processes, coordinating between legal, procurement, and vendors to ensure compliance and maintain project momentum. Troubleshoot research challenges, manage multiple concurrent projects, and provide research-backed recommendations to cross-functional partners. The ideal candidate will possess exceptional organizational skills, attention to detail, and the ability to prioritize effectively in a fast-paced environment. You should be comfortable working with large datasets, financial spreadsheets, and project management tools. Experience with SAP and contract management is a plus. This role offers a unique opportunity to be at the heart of Amazon/MGM's expanding theatrical slate, providing crucial support that shapes our global marketing and distribution strategies. If you're passionate about the entertainment industry and have a talent for turning data into actionable insights, we want to hear from you! Join us in writing the next chapter of entertainment history. Apply now to be part of our growing research team at Amazon/MGM Studios! Basic Qualifications: - 2+ years of professional non-internship marketing experience - 1+ years of Salesforce, Tableau, Vidyard, and Excel experience - 1+ years of designing, building, and launching successful email engagement programs, specifically lifecycle/nurture programs experience - Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables) Preferred Qualifications: - Experience working with a major brand or entertainment company in project/production management - Experience in e-commerce, start ups, advertising, commercial - Experience using data visualization tools 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $53,200/year in our lowest geographic market up to $113,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Coordinator, Consumer Insights at Metro-Goldwyn-Mayer Studios Inc.. Skills: Consumer insights, Data management, Financial processes. Architect databases. Maintain databases", "postedDate" : "2026-06-12T23:27:00.674", "createdAt" : "2026-06-12T23:27:00.674", "lastUpdated" : "2026-06-14T23:59:15.245", "ingestTimestamp" : "2026-06-12T23:27:00.674", "mongoId" : "69164d9e70f0b99d586f2f43", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3123320/apply", "salaryAnnualMin" : 53200, "salaryAnnualMax" : 113700, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Data manipulation", "Email engagement programs", "Lifecycle programs", "Nurture programs", "Consumer insights", "Data management", "Financial processes", "Data retrieval", "Financial management", "Budget tracking", "Purchase order management", "Vendor administration", "Contract management", "Research-backed recommendations", "Project management", "Theatrical performance", "Entertainment landscape", "Film research", "Streaming film", "Salesforce", "Tableau", "Excel", "SAP" ], "skillCount" : 23, "jobCategory" : "marketing", "dataQualityScore" : 0.8888889, "_score" : 677.0826, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Entertainment" }, { "id" : "6a305117f292fd229cef9692", "title" : "Brand Insights Manager", "industry" : "Analyst", "salary" : { "min" : 60000.0, "max" : 90000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Brand Insights Manager in Bulgaria, adjusted for mid-seniority and full-time employment." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T11:24:26.000", "fingerprint" : "98adda4b3ade60bc30f28596f41c6db91ad433fa663dd199c403f8914931cf4f", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/dbb19793-6b0d-4baa-91dc-735a64b40380/apply", "externalId" : "dbb19793-6b0d-4baa-91dc-735a64b40380", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "Excel", "professionalSkills" : [ "Data analytics", "Customer insights", "Consulting", "Data interpretation", "Brand performance", "Marketing strategy" ], "hardSkillsList" : [ "Quantitative analysis", "Qualitative understanding" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Qualitative understanding", "level" : "intermediate" } ], "majorSkills" : "Client presentations, Data storytelling, Client relationship management", "majorSkillsList" : [ "Client presentations", "Data storytelling", "Client relationship management" ], "coreResponsibilities" : "Own and manage a portfolio of client accounts, Ensure engagement, satisfaction, and long-term retention, Conduct regular reviews, Proactive communication with clients, Translate client goals into measurement frameworks, Translate client goals into reporting structures, Translate client goals into actionable insights, Deliver timely, high-quality reports, Deliver performance analyses, Highlight brand impact, Highlight trends, Highlight opportunities for optimization, Act as a trusted advisor to clients, Present insights and recommendations, Shape strategic marketing decisions, Shape communication decisions, Identify upsell opportunities, Identify cross-sell opportunities, Collaborate with sales teams, Support growth initiatives, Support renewals, Maintain accurate client records, Maintain reporting, Maintain documentation within CRM systems, Track account health, Track account risks, Collaborate with internal teams, Share customer feedback, Support product improvements, Contribute to new KPI development, Analyze qualitative data, Analyze quantitative data, Uncover trends, Uncover patterns, Uncover performance drivers", "teamCollaboration" : "Collaborate with sales teams; 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. Ensure engagement, satisfaction, and long-term retention", "postedDate" : "2026-06-15T15:48:25.672", "createdAt" : "2026-06-15T15:48:25.672", "lastUpdated" : "2026-06-16T11:24:26.000", "ingestTimestamp" : "2026-06-16T03:20:42.612", "mongoId" : "6a305117f292fd229cef9692", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Quantitative analysis", "Qualitative understanding", "Client presentations", "Data storytelling", "Client relationship management", "Data analytics", "Customer insights", "Consulting", "Data interpretation", "Brand performance", "Marketing strategy", "Managing multiple projects", "CRM systems" ], "skillCount" : 13, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 669.889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Marketing", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2176d474d8ee00a0c1b024", "title" : "Analytics & Insights Manager, Amazon Ads", "company" : "Amazon Ads", "industry" : "Marketing PR, Ad Sales, Advertising", "salary" : { "min" : 3200000.0, "max" : 5500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Analytics & Insights Manager in Bengaluru, India, adjusted for Manager seniority at a large company in the E-Commerce industry." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T05:44:48.351", "fingerprint" : "92a2123558174fa2ef6a01779940e3ddd7d1c8094fb73b328f3db7ef451fe5f2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10435359/apply", "externalId" : "3462a94a-7b9d-4067-9da1-a2639b059e6d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "SQL", "professionalSkills" : [ "Insights development", "Measurement excellence", "Innovation leadership", "Advertiser success", "Marketing strategies", "Campaign effectiveness", "Optimization opportunities", "Budget allocation", "Analytics strategy" ], "hardSkillsList" : [ "Statistical inference", "Regression", "Experimental design", "Significance testing", "SQL query optimization", "Complex datasets" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Statistical inference", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" }, { "name" : "Significance testing", "level" : "intermediate" }, { "name" : "SQL query optimization", "level" : "intermediate" }, { "name" : "Complex datasets", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Analytics, Insights, Data analysis, Stakeholder management", "majorSkillsList" : [ "Analytics", "Insights", "Data analysis", "Stakeholder management" ], "coreResponsibilities" : "Develop analytical modules, Deliver analytical insights, Influence spending decisions, Drive revenue growth, Conduct deep-dive analyses, Understand customer behavior, Understand campaign effectiveness, Understand optimization opportunities, Translate data into recommendations, Design self-service analytics solutions, Implement automated tools, Enable Sales teams, Build measurement frameworks, Track campaign effectiveness, Track ROI, Influence budget allocation, Drive improvement initiatives, Standardize best practices, Enhance insights delivery, Work cross-functionally, Solve business problems, Present findings, Advise on analytics strategy, Support advertiser reviews, Manage multiple projects, Maintain quality standards, Maintain accuracy, Mentor junior team members, Develop junior team members, Foster data-driven decision making, Share knowledge across teams", "teamCollaboration" : "Sales teams; Product teams; Marketing teams; Data Science teams; Senior leadership; External clients; Account Executives; Account Managers", "projectManagementSkills" : [ "Manage multiple projects" ], "domainKnowledge" : "Advertising; E-commerce; Marketing analytics; Marketing mix modeling; Multi-touch attribution; Incrementality testing", "domainList" : [ "advertising", "e-commerce", "marketing-analytics", "marketing-mix-modeling", "multi-touch-attribution", "incrementality-testing" ], "domainSpecificKnowledge" : [ "Advertising", "E-commerce", "Marketing analytics", "Marketing mix modeling", "Multi-touch attribution", "Incrementality testing" ], "communicationSkills" : "Communicate complex ideas; Present findings", "innovationCreativity" : "Innovation leadership", "problemSolvingSkills" : "Solve complex business problems", "outcomesObjectives" : "Drive incremental revenue growth; Optimize ad spend effectively", "qualificationsBasic" : "5+ years business intelligence, 5+ years analytics experience, Knowledge of statistical inference methods, Bachelor's degree quantitative field, Knowledge of SQL queries, Experience communicating complex ideas", "qualificationsPreferred" : "Experience in e-commerce, Master's degree statistics, Master's degree data science, Familiarity with marketing analytics", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Advertising is seeking an experienced Analytics & Insights Manager to join our growing Sales organization. This role is critical to scaling our advertising business by leveraging data and insights to enhance marketing strategies for major clients and drive advertiser success. As an Analytics & Insights Manager, you will serve as a strategic advisor to Sales teams (Account Executives and Account Managers) and advertisers, delivering value through insights development, measurement excellence, and innovation leadership. You will work backwards from advertiser needs to develop actionable insights that help optimize ad spend effectively with Amazon Ads. Key job responsibilities Strategic Insights, Analysis & Innovation • Develop and deliver bespoke analytical modules and insights that influence advertiser spending decisions and drive incremental revenue growth • Conduct deep-dive analyses to understand customer behavior, campaign effectiveness, and optimization opportunities, translating complex data into clear, actionable recommendations • Design and implement self-service analytics solutions and automated, scalable tools that enable Sales teams to execute insights independently • Build measurement frameworks and KPIs to track campaign effectiveness, ROI, and influence advertiser budget allocation strategies • Drive continuous improvement initiatives to standardize best practices and enhance the speed and quality of insights delivery across the organization Stakeholder Management & Collaboration • Work cross-functionally with Sales, Product, Marketing, and Data Science teams to solve complex business problems and present findings to senior leadership and external clients • Act as a trusted advisor to Account Executives and Account Managers on analytics strategy, supporting advertiser business reviews with comprehensive performance analysis • Manage multiple projects simultaneously while maintaining high standards of quality and accuracy • Mentor and develop junior team members on analytical methodologies and best practices • Foster a culture of data-driven decision making and share knowledge across teams to multiply impact beyond individual portfolios About the team The Amazon India Ads business functions as a strategic start-up with support and interest from business units across the company as well as Amazon’s top management. We are investing heavily in building a world class advertising business and are responsible for defining and delivering a collection of advertising products that drive awareness, engagement, discovery and sales. The work we do is strategically important to our Retail and Marketplace businesses for driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create new ad products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with an endless range of new opportunities. This role offers an opportunity to make a significant impact on the future vision for Amazon Ads in India Basic Qualifications: - 5+ years of business intelligence and analytics experience - Knowledge of methods for statistical inference (e.g. regression, experimental design, significance testing) - Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree - Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets - Experience communicating complex ideas to technical and non-technical audiences Preferred Qualifications: - Experience working in e-commerce - Master's degree in statistics, data science, or an equivalent quantitative field - Familiarity with marketing analytics including marketing mix modeling, multi-touch attribution, and incrementality testing 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" : "Analytics & Insights Manager, Amazon Ads at Amazon Ads. Skills: Analytics, Insights, Data analysis, Stakeholder management. Develop analytical modules. Deliver analytical insights", "postedDate" : "2026-06-13T11:33:36.298", "createdAt" : "2026-06-13T11:33:36.298", "lastUpdated" : "2026-06-15T05:44:48.351", "ingestTimestamp" : "2026-06-13T11:33:36.298", "mongoId" : "6a2176d474d8ee00a0c1b024", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10435359/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical inference", "Regression", "Experimental design", "Significance testing", "SQL query optimization", "Complex datasets", "Leadership", "Analytics", "Insights", "Data analysis", "Stakeholder management", "Insights development", "Measurement excellence", "Innovation leadership", "Advertiser success", "Marketing strategies", "Campaign effectiveness", "Optimization opportunities", "Budget allocation", "Analytics strategy", "Manage multiple projects", "Advertising", "E-commerce", "Marketing analytics", "Marketing mix modeling", "Multi-touch attribution", "Incrementality testing" ], "skillCount" : 27, "jobCategory" : "marketing", "dataQualityScore" : 1.0, "_score" : 660.622, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "6a2a48d774d8ee00a05e2165", "title" : "Senior Data Transformation Analyst", "company" : "Mitratech", "salary" : { "min" : 750000.0, "max" : 1200000.0, "currency" : "MXN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Transformation Analyst in Mexico City, Mexico, adjusted for the SaaS industry and senior experience level." }, "location" : "Mitratech MX", "locations" : [ "Mitratech MX" ], "timestamp" : "2026-06-14T10:34:56.790", "fingerprint" : "38512009be58cae2856e38a407b3ce990c76dba17af1ef213f53915d04b9df4b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/mitratech/jobs/7866856", "externalId" : "7866856", "structuredLocations" : [ { "country" : "Mexico", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Mexico", "experienceMinYears" : 3, "experienceMaxYears" : 7, "experienceLevel" : "Senior", "technicalSkills" : "Salesforce CPQ, NetSuite, Excel", "professionalSkills" : [ "Data transformation", "System integration", "Revenue operations", "Revenue recognition", "Business processes", "Accounting implications", "Sales processes", "Product structures", "Contracting models", "Billing models" ], "hardSkillsList" : [ "Data migration", "Data validation", "Issue resolution" ], "softSkillsList" : [ "Intellectual curiosity" ], "hardSkills" : [ { "name" : "Data migration", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Issue resolution", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Intellectual curiosity" } ], "majorSkills" : "Data transformation, System integration, Revenue recognition", "majorSkillsList" : [ "Data transformation", "System integration", "Revenue recognition" ], "coreResponsibilities" : "Lead data transformation, Analyze source data, Translate acquired entity data, Rebuild data structures, Identify data inconsistencies, Clean data inconsistencies, Correct data inconsistencies, Develop understanding of revenue recognition, Collaborate cross-functionally, Participate in discovery sessions, Perform data validation, Perform data reconciliation, Identify discrepancies, Drive issue resolution, Support PMSI team initiatives, Support testing, Support process improvement", "teamCollaboration" : "Acquired entity accounting teams; Acquired entity operations teams; Internal sales teams; Internal finance teams; Internal systems teams", "projectManagementSkills" : [ "Process improvement" ], "domainKnowledge" : "GAAP revenue recognition; SaaS business models; Subscription-based business", "domainList" : [ "gaap-revenue-recognition", "saas-business-models", "subscription-based-business" ], "domainSpecificKnowledge" : [ "GAAP revenue recognition", "SaaS business models", "Subscription-based business" ], "toolProficiency" : [ "Salesforce", "NetSuite", "Excel", "Alteryx" ], "communicationSkills" : "Clear communication", "continuousLearning" : "Learning opportunities", "problemSolvingSkills" : "Problem-solving skills", "specialRequirements" : "Residing in Mexico", "outcomesObjectives" : "Accurate data migrations; Audit-ready data migrations; Proactive identification of data issues; Proactive resolution of data issues; Clear communication of risks; Clear communication of assumptions; Consistent delivery within project timelines", "qualificationsBasic" : "3–7+ years of experience, working knowledge of Salesforce, Advanced proficiency in Excel, working familiarity with NetSuite, Solid understanding of GAAP revenue recognition, Proven ability to work with complex datasets, analytical and problem-solving skills, Ability to learn and adapt quickly", "qualificationsPreferred" : "Experience with Alteryx, Background in SaaS, Experience with mergers and acquisitions", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Mitratech, we are a team of innovators focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse and inclusive work culture centered around great people practices, learning opportunities, and having fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling the chance to move at a rapid pace with some of the most complex, leading-edge technologies available. For over 35 years, the experts at Mitratech have been focused on solving the complex needs. Today, we serve 20,000 client companies of all sizes globally, representing 30% of the Fortune 500 and over 500,000 users in over 160 countries. As we continue to grow, we’re always looking for resourceful, enthusiastic, and fresh perspectives. Join our global team and see what makes Mitratech a truly exceptional place to work! Due to business and compliance requirements, this position is open only to candidates residing in Mexico. Applications from candidates outside this region will not be considered. Job Overview We are seeking a highly analytical and detail-oriented Senior Data Transformation Analyst to support post-merger system integrations (PMSI). This role is critical in ensuring accurate and compliant data migration from acquired entities into core systems, including Salesforce and NetSuite. This is a highly impactful role that requires a strong understanding of revenue recognition, business processes, and system behavior. You will transform complex and inconsistent source data into structured, compliant formats that support sales, billing, and accounting operations. This role requires a balance of technical skills, business acumen, and intellectual curiosity. The ideal candidate does not rely solely on tools; they take the time to understand the underlying data, processes, and accounting implications before building solutions. Key Responsibilities Lead end-to-end data transformation for full-system migrations from acquired entities Analyze and interpret source data from systems such as QuickBooks, NetSuite, Excel, and other CRMs Translate acquired entity data into formats compatible with Salesforce CPQ and ERP processes Evaluate and rebuild data structures to align with GAAP-compliant revenue recognition Identify, clean, and correct data inconsistencies and gaps Develop a deep understanding of revenue recognition policies, sales processes, and product structures, contracting and billing models Collaborate cross-functionally with acquired entity accounting and operations teams, as well as Internal sales, finance, and systems teams across organizations Participate in discovery sessions to ensure accurate data interpretation Perform data validation and reconciliation post-migration Identify discrepancies and drive issue resolution Support broader PMSI team initiatives, including testing and process improvement, as needed Qualifications 3–7+ years of experience in data transformation, systems integration, or revenue operations Strong working knowledge of Salesforce, including exposure to CPQ or similar tools Advanced proficiency in Excel for data manipulation and reconciliation Working familiarity with NetSuite or similar ERP systems Solid understanding of GAAP revenue recognition principles Proven ability to work with complex and incomplete datasets Strong analytical and problem-solving skills Ability to learn and adapt quickly to new business models Excellent communication skills and ability to translate business processes into data logic Preferred Qualifications Experience with Alteryx or similar data transformation tools Background in SaaS or subscription-based business models Experience with mergers and acquisitions or system migrations What Success Looks Like Accurate and audit-ready data migrations Proactive identification and resolution of data issues Clear communication of risks and assumptions Consistent delivery within project timelines Strong collaboration with cross-functional teams We are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.", "summaryDescription" : "Senior Data Transformation Analyst at Mitratech. Skills: Data transformation, System integration, Revenue recognition. Lead data transformation. Analyze source data", "postedDate" : "2026-06-11T20:17:49.874", "createdAt" : "2026-06-11T20:17:49.874", "lastUpdated" : "2026-06-14T10:34:56.790", "ingestTimestamp" : "2026-06-11T20:17:49.874", "mongoId" : "6a2a48d774d8ee00a05e2165", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data migration", "Data validation", "Issue resolution", "Intellectual curiosity", "Data transformation", "System integration", "Revenue recognition", "Revenue operations", "Business processes", "Accounting implications", "Sales processes", "Product structures", "Contracting models", "Billing models", "Process improvement", "GAAP revenue recognition", "SaaS business models", "Subscription-based business", "Salesforce", "NetSuite", "Excel", "Alteryx" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 660.36584, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "69e104402beec4dd3def24b4", "title" : "Consultant, Analytics & Insights (A&I)", "company" : "Amazon Advertising LLC", "industry" : "Sales, Advertising, Account Management, Professional Services", "salary" : { "min" : 50000.0, "max" : 195400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T03:52:31.965", "fingerprint" : "6f6f0e42c21869f8faa98e3b546b7bb3c0c64d5af74cb3c39ee7bcc0c203efa4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10387357/apply", "externalId" : "c0951083-2650-408a-8dc7-2a643d3c0c35", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "Data analysis", "Analytics", "Insights", "Advertising strategy", "Marketing initiatives", "Business analysis" ], "hardSkillsList" : [ "Data modeling", "Statistical analysis", "Query writing", "Presentation design", "Presentation delivery" ], "softSkillsList" : [ "Storytelling" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Query writing", "level" : "intermediate" }, { "name" : "Presentation design", "level" : "intermediate" }, { "name" : "Presentation delivery", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Storytelling" } ], "majorSkills" : "Data analysis, Analytics, Insights, Advertising", "majorSkillsList" : [ "Data analysis", "Analytics", "Insights", "Advertising" ], "coreResponsibilities" : "Deliver insights for advertisers, Be analytical consultant for advertisers, Provide relevant insights, Advance relationships with senior decision makers, Establish oneself as go-to expert, Develop expertise in Amazon metrics, Evolve how we analyze data, Evolve how we communicate data, Drive decisions to increase data ease of use, Drive decisions to increase data availability, Conduct analyses leveraging untapped datasets, Write documents with recommendations, Influence how partners operate", "teamCollaboration" : "Work with sales; Work with product; Work with retail; Work with business partners; Work with internal teams; Work with external partners; Work with partner teams", "domainKnowledge" : "Amazon Advertising; Ecommerce advertising; Performance advertising; Marketing decision-making", "domainList" : [ "amazon-advertising", "ecommerce-advertising", "performance-advertising", "marketing-decision-making" ], "domainSpecificKnowledge" : [ "Amazon Advertising", "Ecommerce advertising", "Performance advertising", "Marketing decision-making" ], "communicationSkills" : "Storytelling; Presentations; Written communication; Verbal communication", "documentationSkills" : "Write documents", "problemSolvingSkills" : "Data-driven insights; Actionable recommendations", "outcomesObjectives" : "Drive advertiser businesses forward; Improve advertiser campaign effectiveness; Unlock business opportunities; Increase data ease of use; Increase data availability", "qualificationsBasic" : "5+ years client-facing data analysis, 3+ years consulting experience, 3+ years advertising experience, Advanced SQL, Write complex SQL queries, Translate technical analysis to insights, Run advanced statistical modelling with Python, Excellent data driven storytelling, Create compelling presentations, Deliver compelling presentations, Excellent organizational skills, Excellent interpersonal skills, Excellent written communication skills, Excellent verbal communication skills", "qualificationsPreferred" : "Master's degree or above, Experience with advertising publishers, Experience with marketing agencies, Experience with creative agencies, Experience in performance advertising role, Managed significant complexity challenges, Managed scaling challenges", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Advertising exists at the intersection of marketing and ecommerce and offers advertisers a rich array of innovative advertising solutions across Amazon owned properties, as well as third party properties Amazon operates. We believe that advertising, when done well, can greatly enhance the value of the customer experience and generate a positive return on investment for our advertising partners. We are currently looking for a highly skilled and motivated consultant, Analytics & Insights to join the team. This role is a key member of the Customer Success Team at Amazon Advertising, working with sales, product, retail and other Amazon business partners to analyze and improve advertisers’ performance on Amazon, in support of their marketing initiatives. Consultants, Analytics & Insights work with Amazon's unique data and translate it into high-quality and actionable insights and recommendations to improve the effectiveness of advertiser campaigns and unlock business opportunities. Day to day, the activities include analyzing metrics of success for a business or category, developing data-driven insights and recommendations and communicating recommendations in a clear and compelling fashion. Key job responsibilities • Deliver insights for some of the world’s largest advertisers to drive their businesses forward. • Be an analytical consultant for advertisers, by providing relevant insights that will be incorporated into upfront strategy discussions and negotiations. • Advance relationships with senior marketing decision makers (e.g. senior director, c-level) and establish oneself as go-to expert in at least one advanced analytical area of advertising. • Develop great expertise in Amazon’s proprietary metrics, working to constantly evolve how we analyze and communicate data-driven insights to our advertisers. • Drive decisions that increase the ease of use and availability of data to both internal teams and external partners. Conduct analyses which leverage previously untapped datasets. • Write documents with recommendations that influence how partners teams with Amazon Advertising operate, such as Account Management, Sales, or Product. About the team The Analytics & Insights (A&I) organization develops actionable insights using Amazon’s unique data to influence how advertisers promote their businesses. Our insights enhance their marketing decision-making, leading to them to be measurably more successful with Amazon. Basic Qualifications: - Experience translating technical aspects of analysis and metrics into actionable insights for the advertiser and both technical and non-technical stakeholders - Experience in advanced SQL & ability to write complex queries from scratch from multiple tables - Bachelor's degree plus 5+ years’ experience in client-facing data analysis roles. - 3+ years of consulting experience with a major consulting firm or 3+ years of advertising experience with a top advertiser (agency or client side). - Excellent data driven storytelling skills – you create and deliver compelling presentations with outstanding visuals to high level stakeholders. - Fluency with an Python – ability to run advanced statistical modelling and analysis with Python. - Excellent organizational, interpersonal, and communication skills (both written and verbal). Preferred Qualifications: - Experience with advertising publishers and marketing/creative agencies - Master's degree or above in marketing, advertising, business or equivalent - Experience in a performance advertising role where you managed significant complexity and scaling challenges. 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 - 144,500.00 - 195,400.00 USD annually", "summaryDescription" : "Consultant, Analytics & Insights (A&I) at Amazon Advertising LLC. Skills: Data analysis, Analytics, Insights, Advertising. Deliver insights for advertisers. Be analytical consultant for advertisers", "postedDate" : "2026-06-13T06:18:08.267", "createdAt" : "2026-06-13T06:18:08.267", "lastUpdated" : "2026-06-15T03:52:31.965", "ingestTimestamp" : "2026-06-13T06:18:08.267", "mongoId" : "69e104402beec4dd3def24b4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10387357/apply", "salaryAnnualMin" : 50000, "salaryAnnualMax" : 195400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Statistical analysis", "Query writing", "Presentation design", "Presentation delivery", "Storytelling", "Data analysis", "Analytics", "Insights", "Advertising", "Advertising strategy", "Marketing initiatives", "Business analysis", "Amazon Advertising", "Ecommerce advertising", "Performance advertising", "Marketing decision-making" ], "skillCount" : 17, "jobCategory" : "marketing", "dataQualityScore" : 0.8888889, "_score" : 658.1649, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "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, "_score" : 656.82904, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a305714f292fd229cf339cf", "title" : "Senior Social Insights Analyst", "company" : "OLIVER Agency", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Social Insights Analyst in Italy, adjusted for the marketing industry and remote work." }, "location" : "Pipeline", "locations" : [ "Pipeline" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:41:03.837", "fingerprint" : "ba25bf02c7f6a340852a3af129f29473271ba0bfe3bd3f320ac26809ea891158", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/oliver/jobs/8007126", "externalId" : "8007126", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Italy", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Italy", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, AWS, GCP, Azure, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data engineering", "Machine learning", "AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "AI", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Analytics engineering", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "majorSkills" : "Data Science, Data Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Develop and implement data models, Build and maintain data pipelines, Perform statistical analysis, Develop machine learning models, Create business intelligence dashboards, Analyze large datasets, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Stakeholders", "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "5+ years of experience in data analytics, Proficiency in SQL, Bachelor's degree in Statistics, Computer Science, Mathematics, or a related quantitative field", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Established in 2004, OLIVER is the world’s first and only specialist in designing, building, and running bespoke in-house agencies and marketing ecosystems for brands. We partner with over 300 clients in 40+ countries and counting. Our unique model drives creativity and efficiency, allowing us to deliver tailored solutions that resonate deeply with audiences. As a part of The Brandtech Group, we're at the forefront of leveraging cutting-edge AI technology to revolutionise how we create and deliver work. Our AI solutions enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results. Role: Senior Social Insights Analyst Location: Italy (remote) ABOUT THE ROLE We are seeking a Research able to anticipate insight needs and build tailored responses Curious, growth‑minded, and eager to continually learn and push boundaries Confident working in fast‑paced, evolving environments with multiple stakeholders Collaborative, open‑minded team player Req ID: 17325 #LI-JP1 #LI-Hybrid #LI-director Our values shape everything we do: Be Ambitious to succeed  Be Imaginative to push the boundaries of what’s possible  Be Inspirational to do groundbreaking work  Be always learning and listening to understand  Be Results-focused  to exceed expectations  Be actively pro-inclusive and anti-racist across our community, clients and creations  OLIVER, a part of the Brandtech Group, is an equal opportunity employer committed to creating an inclusive working environment where all employees are encouraged to reach their full potential, and individual differences are valued and respected. All applicants shall be considered for employment without regard to race, ethnicity, religion, gender, sexual orientation, gender identity, age, neurodivergence, disability status, or any other characteristic protected by local laws.   OLIVER has set ambitious environmental goals around sustainability, with science-based emissions reduction targets. Collectively, we work towards our mission, embedding sustainability into every department and through every stage of the project lifecycle.", "summaryDescription" : "Senior Social Insights Analyst at OLIVER Agency. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and implement data models. Build and maintain data pipelines", "postedDate" : "2026-06-15T23:17:46.048", "createdAt" : "2026-06-15T23:17:46.048", "lastUpdated" : "2026-06-16T08:41:03.837", "ingestTimestamp" : "2026-06-15T23:17:46.048", "mongoId" : "6a305714f292fd229cf339cf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data engineering", "Machine learning", "AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence", "Data modeling", "Statistical analysis", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 43, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 656.64197, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Marketing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a308b88f292fd229c09974f", "title" : "Sr. Analyst, Consumer Insights", "company" : "Versant", "industry" : "Entertainment", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Analyst, Consumer Insights in New York, with adjustments for the media industry and company size." }, "location" : "New York, NEW YORK, United States", "locations" : [ "New York", "NEW YORK", "United States" ], "timestamp" : "2026-06-16T11:30:39.913", "fingerprint" : "910f08e64e95991f9126785a52ce0d20b067df8ef4af22aa857d7b5acf6e77e9", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Versant3/744000131968293-sr-analyst-consumer-insights", "externalId" : "744000131968293", "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" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Tableau, Power BI, Excel", "professionalSkills" : [ "Data analysis", "Market research", "Statistical modeling" ], "hardSkillsList" : [ "Consumer behavior analysis", "Survey design", "Data visualization" ], "hardSkills" : [ { "name" : "Consumer behavior analysis", "level" : "intermediate" }, { "name" : "Survey design", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Consumer Insights, Data Analysis, Market Research", "majorSkillsList" : [ "Consumer Insights", "Data Analysis", "Market Research" ], "coreResponsibilities" : "Design and execute consumer research studies, Analyze quantitative and qualitative data, Identify key consumer trends and insights, Develop compelling data visualizations, Present findings and recommendations to stakeholders, Collaborate with marketing and product teams, Monitor and report on key performance indicators, Contribute to strategic decision-making", "teamCollaboration" : "Marketing teams; Product teams; Cross-functional stakeholders", "projectManagementSkills" : [ "Project planning", "Timeline management" ], "domainKnowledge" : "Consumer behavior; Market dynamics; Brand strategy", "domainList" : [ "consumer-behavior", "market-dynamics", "brand-strategy" ], "domainSpecificKnowledge" : [ "Consumer behavior", "Market dynamics", "Brand strategy" ], "toolProficiency" : [ "Tableau", "Power BI", "Excel", "SQL" ], "communicationSkills" : "Presentation skills; Reporting", "documentationSkills" : "Research reports", "problemSolvingSkills" : "Analytical thinking; Root cause analysis", "outcomesObjectives" : "Drive data-informed business decisions; Improve consumer understanding; Inform product development", "qualificationsBasic" : "5+ years of experience in consumer insights, Bachelor's degree in a related field", "qualificationsPreferred" : "Master's degree preferred, Experience with advanced statistical techniques, Experience with qualitative research methodologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant’s sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. Versant, an industry-leading news, sports and entertainment media business that provides content through a portfolio of iconic television networks (MS NOW, CNBC, USA Network, Golf Channel, E!, SYFY and Oxygen) and complementary digital assets (Fandango, Rotten Tomatoes, GolfNow and SportsEngine), is seeking a Consumer Insights Senior Analyst who is energized by the idea of contributing to the growth of a new company within a fast-paced media landscape. This position is part of the Consumer Insights team and, in collaboration with members of the broader Data Insights & Strategic Analytics department, will play a pivotal role in developing a deep understanding of media audiences and their perceptions and attitudes towards Versant portfolio brands. The Senior Analyst will contribute to research studies from design through execution in support of brand and audience strategy, including but not limited to: a portfolio-wide brand tracking study, audience segmentations, market sizing, competitive benchmarking, and cross-platform brand research. Your insights will directly influence marketing, programming, product, and audience strategies across linear and digital platforms. The ideal candidate for this role is someone who loves tackling tough questions, has a passion for consumer insights and a knack for quantitative analysis, is genuinely interested in the evolving media industry, and is motivated to juggle many projects and priorities. Responsibilities: * Collaborate with Consumer Insights colleagues and the broader Data Insights department to support ongoing research needs and custom research studies * Assist with primary research studies from start to finish, including research design, writing surveys and discussion guides, fielding, analyzing and interpreting results, and compiling presentations * Play a key role in administering and operating a complex, portfolio-wide brand tracking study, partnering with vendors to oversee regular fielding, incorporate questions from stakeholders, interpret results, and flag potential issues * Synthesize information from multiple data sets and secondary research to develop insights and help internal stakeholders stay on top of brand and audience trends * Contribute to story-driven, executive-friendly presentations * Assist with team project management and administrative duties as needed ## Qualifications * 2+ years of experience with primary research, preferably in media, entertainment, or a related industry * A knack for digging into data to identify insights beyond the obvious or surface-level * Ability to learn various tools and interfaces for conducting research and visualizing results (e.g., Qualtrics, MRI, YouGov, DisplayR, etc.) * Excellent written and verbal communication skills * Attention to detail and strong analytical skills * Excel and PowerPoint proficiency * Knowledge and passion for TV and digital media, including entertainment, sports, and/or news * Bachelor’s degree - preferably in business, communications, marketing, psychology, social sciences, or a related field Desired Characteristics: * Demonstrated enthusiasm for audience research * Experience supporting ongoing brand tracking programs * Comfort using AI-assisted methodologies & resources to execute research * Ability to work as part of a team, handle multiple assignments, and meet deadlines in a fast-paced environment * Proactive problem solver * Proficiency with tools including SPSS, R, or Python for statistical analysis is a plus (but not required) Additional Information: Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week. Subject to change based on business need. 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. Salary range: $70,000 - $90,000 ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media'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 [candidateaccessibility@versantmedia.com](mailto:candidateaccessibility@versantmedia.com). VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.", "summaryDescription" : "Sr. Analyst, Consumer Insights at Versant. Skills: Consumer Insights, Data Analysis, Market Research. Design and execute consumer research studies. Analyze quantitative and qualitative data", "postedDate" : "2026-06-12T18:44:43.000", "createdAt" : "2026-06-16T03:31:12.619", "lastUpdated" : "2026-06-16T11:30:39.913", "ingestTimestamp" : "2026-06-16T03:31:12.619", "mongoId" : "6a308b88f292fd229c09974f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Consumer behavior analysis", "Survey design", "Data visualization", "Consumer Insights", "Data Analysis", "Market Research", "Data analysis", "Market research", "Statistical modeling", "Project planning", "Timeline management", "Consumer behavior", "Market dynamics", "Brand strategy", "Tableau", "Power BI", "Excel", "SQL" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 655.3433, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305d29f292fd229cf64d6a", "title" : "Sr. Analyst, Consumer Insights", "company" : "Versant", "industry" : "Entertainment", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Analyst, Consumer Insights in New York, with adjustments for the media industry and company size." }, "location" : "New York, NEW YORK, United States", "locations" : [ "New York", "NEW YORK", "United States" ], "timestamp" : "2026-06-16T10:55:19.740", "fingerprint" : "7342b3eec37315d01f53579999931f6f900c68db8b1ece44a9f76846180027e9", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Versant3/744000131968293-sr-analyst-consumer-insights", "externalId" : "744000131968293", "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" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Tableau, Power BI, Excel, Statistical software", "professionalSkills" : [ "Consumer behavior analysis", "Market research", "Data interpretation", "Strategic thinking" ], "hardSkillsList" : [ "Survey design", "Statistical analysis", "Data visualization", "Reporting" ], "hardSkills" : [ { "name" : "Survey design", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "majorSkills" : "Consumer Insights, Data Analysis, Market Research", "majorSkillsList" : [ "Consumer Insights", "Data Analysis", "Market Research" ], "coreResponsibilities" : "Design and execute consumer research studies, Analyze quantitative and qualitative data, Identify key consumer trends and insights, Develop actionable recommendations for product and marketing teams, Present findings and insights to stakeholders, Collaborate with cross-functional teams, Monitor market trends and competitive landscape", "teamCollaboration" : "Cross-functional teams; Product teams; Marketing teams", "projectManagementSkills" : [ "Project planning", "Timeline management" ], "domainKnowledge" : "Consumer behavior; Market research methodologies; Brand strategy", "domainList" : [ "consumer-behavior", "market-research-methodologies", "brand-strategy" ], "domainSpecificKnowledge" : [ "Consumer behavior", "Market research methodologies", "Brand strategy" ], "toolProficiency" : [ "Tableau", "Power BI", "Excel", "Statistical software" ], "communicationSkills" : "Presentation skills; Report writing", "documentationSkills" : "Research reports", "problemSolvingSkills" : "Data interpretation; Root cause analysis", "outcomesObjectives" : "Drive product innovation; Inform marketing strategies; Improve customer understanding", "qualificationsBasic" : "5+ years of experience in consumer insights, Bachelor's degree in a related field", "qualificationsPreferred" : "Master's degree preferred, Experience with advanced statistical techniques, Experience with survey design and analysis tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant’s sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. Versant, an industry-leading news, sports and entertainment media business that provides content through a portfolio of iconic television networks (MS NOW, CNBC, USA Network, Golf Channel, E!, SYFY and Oxygen) and complementary digital assets (Fandango, Rotten Tomatoes, GolfNow and SportsEngine), is seeking a Consumer Insights Senior Analyst who is energized by the idea of contributing to the growth of a new company within a fast-paced media landscape. This position is part of the Consumer Insights team and, in collaboration with members of the broader Data Insights & Strategic Analytics department, will play a pivotal role in developing a deep understanding of media audiences and their perceptions and attitudes towards Versant portfolio brands. The Senior Analyst will contribute to research studies from design through execution in support of brand and audience strategy, including but not limited to: a portfolio-wide brand tracking study, audience segmentations, market sizing, competitive benchmarking, and cross-platform brand research. Your insights will directly influence marketing, programming, product, and audience strategies across linear and digital platforms. The ideal candidate for this role is someone who loves tackling tough questions, has a passion for consumer insights and a knack for quantitative analysis, is genuinely interested in the evolving media industry, and is motivated to juggle many projects and priorities. Responsibilities: * Collaborate with Consumer Insights colleagues and the broader Data Insights department to support ongoing research needs and custom research studies * Assist with primary research studies from start to finish, including research design, writing surveys and discussion guides, fielding, analyzing and interpreting results, and compiling presentations * Play a key role in administering and operating a complex, portfolio-wide brand tracking study, partnering with vendors to oversee regular fielding, incorporate questions from stakeholders, interpret results, and flag potential issues * Synthesize information from multiple data sets and secondary research to develop insights and help internal stakeholders stay on top of brand and audience trends * Contribute to story-driven, executive-friendly presentations * Assist with team project management and administrative duties as needed ## Qualifications * 2+ years of experience with primary research, preferably in media, entertainment, or a related industry * A knack for digging into data to identify insights beyond the obvious or surface-level * Ability to learn various tools and interfaces for conducting research and visualizing results (e.g., Qualtrics, MRI, YouGov, DisplayR, etc.) * Excellent written and verbal communication skills * Attention to detail and strong analytical skills * Excel and PowerPoint proficiency * Knowledge and passion for TV and digital media, including entertainment, sports, and/or news * Bachelor’s degree - preferably in business, communications, marketing, psychology, social sciences, or a related field Desired Characteristics: * Demonstrated enthusiasm for audience research * Experience supporting ongoing brand tracking programs * Comfort using AI-assisted methodologies & resources to execute research * Ability to work as part of a team, handle multiple assignments, and meet deadlines in a fast-paced environment * Proactive problem solver * Proficiency with tools including SPSS, R, or Python for statistical analysis is a plus (but not required) Additional Information: Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week. Subject to change based on business need. 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. Salary range: $70,000 - $90,000 ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media'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 [candidateaccessibility@versantmedia.com](mailto:candidateaccessibility@versantmedia.com). VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.", "summaryDescription" : "Sr. Analyst, Consumer Insights at Versant. Skills: Consumer Insights, Data Analysis, Market Research. Design and execute consumer research studies. Analyze quantitative and qualitative data", "postedDate" : "2026-06-12T18:44:43.000", "createdAt" : "2026-06-16T00:14:31.452", "lastUpdated" : "2026-06-16T10:55:19.740", "ingestTimestamp" : "2026-06-16T00:14:31.452", "mongoId" : "6a305d29f292fd229cf64d6a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Survey design", "Statistical analysis", "Data visualization", "Reporting", "Consumer Insights", "Data Analysis", "Market Research", "Consumer behavior analysis", "Market research", "Data interpretation", "Strategic thinking", "Project planning", "Timeline management", "Consumer behavior", "Market research methodologies", "Brand strategy", "Tableau", "Power BI", "Excel", "Statistical software" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 655.3433, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "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, "_score" : 654.6049, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Non-Profit", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305dc0f292fd229cf69f28", "title" : "Consumer Data Insights (Fixed Term)", "company" : "NielsenIQ", "industry" : "Market Research", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Consumer Data Insights role in Melbourne, Australia, adjusted for the market research industry and company size." }, "location" : "Melbourne, VIC, Australia", "locations" : [ "Melbourne", "VIC", "Australia" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T11:09:49.807", "fingerprint" : "bfa309f7a0ef73632f705afbd430a7a8f182823de49c0415d7c9e020471a59db", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NielsenIQ/744000131573856-consumer-data-insights-fixed-term-", "externalId" : "744000131573856", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Melbourne", "state" : "Victoria", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-37.8142454,144.9631732" } ], "locationText" : "Melbourne, Victoria, Australia", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Spark, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, AWS, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data manipulation", "Data visualization", "ETL processes", "Database management", "Statistical modeling", "Machine learning algorithms", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning algorithms", "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 implement data pipelines, Build and maintain data models, Perform data analysis and interpretation, Create and manage dashboards and reports, Apply statistical methods and ML techniques, Collaborate with stakeholders on data needs, Ensure data quality and integrity, Optimize data infrastructure performance", "teamCollaboration" : "Cross-functional teams; Business stakeholders", "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Data-driven decision making", "qualificationsBasic" : "5+ years of experience in data analytics, Proficiency in SQL, Experience with data visualization tools", "qualificationsPreferred" : "Master's degree preferred, Experience with cloud platforms, Experience with ML frameworks", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Simply put, we do two things at NielsenIQ. We measure performance for our clients and we use analytics to help our clients grow their business. Measurement and analytics are two separate things, and each is important and valuable on its own. But the connection of the two makes them both even more critical and valuable. You will MAKE A DIFFERENCE by partnering with our clients and using data to explain what is happening with their brands and what they should do to improve business performance. Working with both your NielsenIQ colleagues and spending time with clients, you will build partnerships to allow you to understand your client’s needs and requirements. You'll use this knowledge to develop in-depth analyses and create compelling stories that deliver the insight to drive business growth. This opportunity is a 12-month fixed-term contract (August 2026 – August 2027) , providing maternity cover while offering the chance to make an immediate and meaningful impact. Insights Delivery * Understanding clients’ marketing and sales strategies, their needs, business problems and opportunities for growth * Helping clients to understand and define the business issue, understanding the project briefing and preparing hypotheses that can be explored. * Delivering meaningful insights with actionable recommendations using data based on NielsenIQs contractual analytical commitments, ensuring the insights shared help clients develop strategies and measures to grow their businesses. * Managing client expectations regarding required analyses and commitments to ensure client satisfaction, working closely with clients to align timelines, milestones and outcomes. * Sharing strategic thought leadership with clients and the latest trends on FMCG and consumer behaviour. * Acting as \"Expert\" on topics of strength (i.e.: pricing/promo, range, innovation, etc.) Support account development via consultative selling * Ensuring high standards of client satisfaction to support contract renewals in discussions between the client and the commercial team * Identifying business opportunities with clients and demonstrate how NielsenIQ will be able to address these business needs. * Supporting Commercial teams in client meetings when advanced client knowledge is needed to showcase NielsenIQ Capabilities ## Qualifications * Relevant tertiary education (business, marketing, statistics, etc.) and/or 1-2 years experience in FMCG, marketing, research, or similar industry * Strong communication, presentation, and interpersonal skills * Ability to maintain a high say/do ratio, working as part of a high-performing team * Awareness of market conditions and client business environment ## Additional Information Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the [https://nielseniq.com/global/en/news-center/diversity-inclusion](https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&reserved=0)", "summaryDescription" : "Consumer Data Insights (Fixed Term) at NielsenIQ. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and implement data pipelines. Build and maintain data models", "postedDate" : "2026-06-11T01:35:28.000", "createdAt" : "2026-06-16T00:09:16.497", "lastUpdated" : "2026-06-16T11:09:49.807", "ingestTimestamp" : "2026-06-16T00:09:16.497", "mongoId" : "6a305dc0f292fd229cf69f28", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data manipulation", "Data visualization", "ETL processes", "Database management", "Statistical modeling", "Machine learning algorithms", "A/B testing", "Causal inference", "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 46, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 652.66034, "daysOld" : 5, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Market Research", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3068adf292fd229cfc50d3", "title" : "Consumer Data Insights (Fixed Term)", "company" : "NielsenIQ", "industry" : "Market Research", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Consumer Data Insights role in Melbourne, Australia, adjusted for the market research industry and NielsenIQ's company size." }, "location" : "Melbourne, VIC, Australia", "locations" : [ "Melbourne", "VIC", "Australia" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:56:10.179", "fingerprint" : "ba5f252023dbad394ff0e2413c372b19c473d28b1ac2826a1fe95951f1238b8b", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NielsenIQ/744000131573856-consumer-data-insights-fixed-term-", "externalId" : "744000131573856", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Melbourne", "state" : "Victoria", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-37.8142454,144.9631732" } ], "locationText" : "Melbourne, Victoria, Australia", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, AWS, GCP, Azure, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, Spark", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Statistical modeling", "Machine learning implementation", "Data pipeline development", "ETL/ELT processes", "Database management", "Data visualization" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning implementation", "level" : "intermediate" }, { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "ETL/ELT processes", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Data Analytics, Machine Learning, Data Engineering", "majorSkillsList" : [ "Data Analytics", "Machine Learning", "Data Engineering" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and deploy machine learning models, Perform data analysis and generate insights, Create and manage BI dashboards, Collaborate with stakeholders to understand data needs, Ensure data quality and integrity, Optimize data infrastructure for performance, Stay updated on emerging data technologies", "teamCollaboration" : "Cross-functional teams; Stakeholders", "toolProficiency" : [ "SQL", "Python", "R", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Spark" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Data-driven decision making", "qualificationsBasic" : "5+ years of experience in data analytics, Proficiency in SQL, Experience with Python or R", "qualificationsPreferred" : "Master's degree in a quantitative field, Experience with cloud platforms (AWS, GCP, Azure), Experience with BI tools (Tableau, Power BI), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with data warehousing solutions (Snowflake, BigQuery, Redshift), Experience with ETL/ELT tools (Airflow, dbt, Fivetran)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Simply put, we do two things at NielsenIQ. We measure performance for our clients and we use analytics to help our clients grow their business. Measurement and analytics are two separate things, and each is important and valuable on its own. But the connection of the two makes them both even more critical and valuable. You will MAKE A DIFFERENCE by partnering with our clients and using data to explain what is happening with their brands and what they should do to improve business performance. Working with both your NielsenIQ colleagues and spending time with clients, you will build partnerships to allow you to understand your client’s needs and requirements. You'll use this knowledge to develop in-depth analyses and create compelling stories that deliver the insight to drive business growth. This opportunity is a 12-month fixed-term contract (August 2026 – August 2027) , providing maternity cover while offering the chance to make an immediate and meaningful impact. Insights Delivery * Understanding clients’ marketing and sales strategies, their needs, business problems and opportunities for growth * Helping clients to understand and define the business issue, understanding the project briefing and preparing hypotheses that can be explored. * Delivering meaningful insights with actionable recommendations using data based on NielsenIQs contractual analytical commitments, ensuring the insights shared help clients develop strategies and measures to grow their businesses. * Managing client expectations regarding required analyses and commitments to ensure client satisfaction, working closely with clients to align timelines, milestones and outcomes. * Sharing strategic thought leadership with clients and the latest trends on FMCG and consumer behaviour. * Acting as \"Expert\" on topics of strength (i.e.: pricing/promo, range, innovation, etc.) Support account development via consultative selling * Ensuring high standards of client satisfaction to support contract renewals in discussions between the client and the commercial team * Identifying business opportunities with clients and demonstrate how NielsenIQ will be able to address these business needs. * Supporting Commercial teams in client meetings when advanced client knowledge is needed to showcase NielsenIQ Capabilities ## Qualifications * Relevant tertiary education (business, marketing, statistics, etc.) and/or 1-2 years experience in FMCG, marketing, research, or similar industry * Strong communication, presentation, and interpersonal skills * Ability to maintain a high say/do ratio, working as part of a high-performing team * Awareness of market conditions and client business environment ## Additional Information Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the [https://nielseniq.com/global/en/news-center/diversity-inclusion](https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&reserved=0)", "summaryDescription" : "Consumer Data Insights (Fixed Term) at NielsenIQ. Skills: Data Analytics, Machine Learning, Data Engineering. Develop and maintain data pipelines. Build and deploy machine learning models", "postedDate" : "2026-06-11T01:35:28.000", "createdAt" : "2026-06-16T00:18:09.232", "lastUpdated" : "2026-06-16T10:56:10.179", "ingestTimestamp" : "2026-06-16T00:18:09.232", "mongoId" : "6a3068adf292fd229cfc50d3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Statistical modeling", "Machine learning implementation", "Data pipeline development", "ETL/ELT processes", "Database management", "Data visualization", "Data Analytics", "Machine Learning", "Data Engineering", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Spark" ], "skillCount" : 40, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 652.1329, "daysOld" : 5, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Market Research", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca3b474d8ee00a09acff3", "title" : "Insight Lead", "company" : "GWI", "industry" : "Media", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Mid-Senior Insight Leads in London, UK, adjusted for the technology industry and company size." }, "location" : "London, UK", "locations" : [ "London", "UK" ], "timestamp" : "2026-06-15T03:24:28.919", "fingerprint" : "26b60a7ec658d53285de0e45cb4ad40deec6be592cbae123fb79ba0fa1d4542d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/globalwebindex/jobs/8568344002", "externalId" : "8568344002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid-Senior", "technicalSkills" : "SQL", "professionalSkills" : [ "Data storytelling", "Client presentations", "Team operations" ], "hardSkillsList" : [ "Data analysis", "Statistical analysis" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Data storytelling, Client management", "majorSkillsList" : [ "Data storytelling", "Client management" ], "coreResponsibilities" : "Lead insight delivery, Analyse GWI datasets, Analyse bespoke research studies, Create high-quality deliverables, Translate complex data, Present data to clients, Present data to internal teams, Support Vertical Lead on RFP responses, Support Vertical Lead on proposals, Support Vertical Lead on team operations, Mentor junior analysts", "teamCollaboration" : "Internal teams; Junior team members", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Audience understanding", "domainList" : [ "audience-understanding" ], "domainSpecificKnowledge" : [ "Audience understanding" ], "toolProficiency" : [ "Microsoft Office", "Google Suite" ], "communicationSkills" : "Client presentations; Clear narratives; Engaging content", "continuousLearning" : "Accredited learning; Leadership development", "problemSolvingSkills" : "Data-driven stories", "specialRequirements" : "Minimum 1 day per week", "outcomesObjectives" : "Make clients' strategies sharper", "qualificationsBasic" : "Proven experience managing projects, Proven experience managing clients, Proficiency in Microsoft Office, Google experience", "qualificationsPreferred" : "Survey platforms experience is a plus, Analytics tools experience is a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Location: London, UK Weekly office requirement: Minimum 1 day per week – Wednesdays Employment type: PermanentSeniority level: Mid-Senior At GWI we're always looking for extraordinary people who thrive on making an extraordinary impact. Right now we're looking for an Insight Manager to play a key role in our Insight Services team in London. If that's you, and making a difference gets you out of bed in the morning, keep reading. It could be the start of something, well, extraordinary. Sounds great, what will I be doing? \uD83E\uDD14 As our Insight Manager you’ll be passionate about uncovering data-driven stories that shape how the world’s biggest brands understand their audiences. In this role, you’ll turn GWI’s rich datasets into compelling insights, reports, and presentations that reveal the unexpected and make our clients’ strategies sharper. A few things you'll be responsible for: \uD83D\uDC49 Lead end-to-end insight delivery on client projects across regions. \uD83D\uDC49 Analyse GWI datasets and bespoke research studies to surface trends and patterns that align with client objectives. \uD83D\uDC49 Create high-quality deliverables that translate complex data into clear, compelling narratives — and present them confidently to clients and internal teams. \uD83D\uDC49 Support the Vertical Lead on RFP responses, proposals, team operations, and mentoring junior analysts. It's also fun; shaking things up is what working for GWI is all about. You'll need to be flexible, comfortable with continuous change, and working in a high-tempo environment. What do I need to bring with me? \uD83E\uDDF3 You'll need to be able to demonstrate the core skills this role requires. You don't have to tick all the boxes right away; the important thing is that you're willing to learn. Here's what the team will be looking for in you: \uD83D\uDC49 Proven experience managing projects and clients. \uD83D\uDC49 A talent for data storytelling — translating numbers into narratives and surfacing insights that challenge assumptions or reveal something new. \uD83D\uDC49 Exceptional attention to detail and a flair for writing clear, engaging content. \uD83D\uDC49 Proficiency in Microsoft Office and Google Slides; experience with survey platforms or analytics tools is a plus. \uD83D\uDC49 Strong organisational and communication skills — comfortable running client presentations, managing multiple workstreams, and mentoring junior team members. What We Offer \uD83E\uDDD8 At GWI, you’ll find meaningful work, visible impact, and a culture that empowers you to do your best. Our package includes: Time to recharge – 25 days’ annual leave, plus office closures over the holidays. Health & wellbeing – Health cash plan, enhanced family benefits, carer days, and mental health support. Financial benefits – Competitive salary, 4% pension matching, and recognition programs that celebrate success. Flexibility & balance – Flexitime, early Friday finishes, hybrid and remote options, plus a “work from home” budget. Career growth – Accredited learning, leadership development, and global career mobility. Community & impact – DE&I initiatives, volunteering opportunities, donation matching, and payroll giving. Put all that together and GWI is the friendliest, most fulfilling place any of us has ever worked. Diversity, Equity & Inclusion \uD83E\uDEF6 Diversity is fundamental to who we are—as a data company and as a workplace. Our data reflects global realities, and so must our teams. We strive to build a workforce as diverse and inclusive as the insights we deliver. As a Disability Confident employer, we welcome applications from disabled candidates and are committed to making adjustments throughout the hiring process—whether that's extra time, materials in advance or a different format, breaks, an adjusted interview format, assistive tools, or flexible scheduling. We're happy to discuss whatever would work best for you. We actively encourage applications from underrepresented and marginalised communities. At GWI, you'll find a place to contribute meaningfully, grow professionally, and belong fully. #li-hybrid #LI-NIKOSSS1", "summaryDescription" : "Insight Lead at GWI. Skills: Data storytelling, Client management. Lead insight delivery. Analyse GWI datasets", "postedDate" : "2026-06-13T20:58:46.449", "createdAt" : "2026-06-13T20:58:46.449", "lastUpdated" : "2026-06-15T03:24:28.919", "ingestTimestamp" : "2026-06-13T20:58:46.449", "mongoId" : "6a2ca3b474d8ee00a09acff3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Statistical analysis", "Mentoring", "Data storytelling", "Client management", "Client presentations", "Team operations", "Project management", "Audience understanding", "Microsoft Office", "Google Suite" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 651.806, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69e104402beec4dd3def24e7", "title" : "Sr. Technical Program Manager (TPM), WW Promotions and Events Data and Insights", "company" : "Amazon Development Centre Canada ULC", "industry" : "Project/Program/Product Management--Technical, Technical Program Management, north america stores", "salary" : { "min" : 100000.0, "max" : 214000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, CAN", "locations" : [ "Vancouver, British Columbia, CAN" ], "timestamp" : "2026-06-15T03:05:25.517", "fingerprint" : "67523fa2822eb2f343c5f0c050a3a112db6c3e7e0bb301c4f2aa9194e3ef026e", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10386401/apply", "externalId" : "b2c90e6d-043c-4fa2-9465-37ad35178abe", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Data Engineering, Machine Learning, BI Engineering", "professionalSkills" : [ "Program Management", "Data Governance", "Business Analytics", "Product Development", "Roadmapping", "Metrics Development", "Stakeholder Management", "Requirements Definition", "Tradeoff Analysis" ], "hardSkillsList" : [ "Promotions Data Management", "Data Sourcing", "Data Execution", "Data Optimization", "Automated Mechanisms", "Self-Serve Mechanisms", "Metrics Measurement", "Impact Measurement", "Process Improvement", "Strategy Definition", "Technical Concept Communication" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Promotions Data Management", "level" : "intermediate" }, { "name" : "Data Sourcing", "level" : "intermediate" }, { "name" : "Data Execution", "level" : "intermediate" }, { "name" : "Data Optimization", "level" : "intermediate" }, { "name" : "Automated Mechanisms", "level" : "intermediate" }, { "name" : "Self-Serve Mechanisms", "level" : "intermediate" }, { "name" : "Metrics Measurement", "level" : "intermediate" }, { "name" : "Impact Measurement", "level" : "intermediate" }, { "name" : "Process Improvement", "level" : "intermediate" }, { "name" : "Strategy Definition", "level" : "intermediate" }, { "name" : "Technical Concept Communication", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Technical Program Management, Data Insights, Promotions Data", "majorSkillsList" : [ "Technical Program Management", "Data Insights", "Promotions Data" ], "coreResponsibilities" : "Own development and delivery of key programs, Lead planning, execution, and delivery of projects, Own communication for technical delivery, Support sprint planning and reporting, Support annual roadmapping cycles, Identify automated, self-serve mechanisms, Develop automated, self-serve mechanisms, Work with internal stakeholders to drive adoption, Support team in developing metrics, Measure metrics impact, Identify ways to improve metrics, Thrive working with stakeholders, Define strategy and requirements, Align on path forward, Communicate regularly with senior leadership, Make technical concepts intuitive", "teamCollaboration" : "Cross-organizational teams; Functional teams; Engineering teams; Machine Learning teams; Data Governance teams; Business teams; Senior leadership; Partner organizations; Key stakeholders across the Globe", "projectManagementSkills" : [ "Scope Management", "Schedule Management", "Budget Management", "Quality Management", "Risk Management", "Critical Path Management", "Process Building", "Release Schedule Coordination", "Roadmapping" ], "domainKnowledge" : "Promotions Data; Selling Partner Demand; Inventory Clearance; Traffic Growth; Machine Learning Models; Business Analytics; Promotions Execution; Promotions Optimization", "domainList" : [ "promotions-data", "selling-partner-demand", "inventory-clearance", "traffic-growth", "machine-learning-models", "business-analytics", "promotions-execution", "promotions-optimization" ], "domainSpecificKnowledge" : [ "Promotions Data", "Selling Partner Demand", "Inventory Clearance", "Traffic Growth", "Machine Learning Models", "Business Analytics", "Promotions Execution", "Promotions Optimization" ], "communicationSkills" : "Technical Delivery Communication; Senior Leadership Communication; Make concepts intuitive", "problemSolvingSkills" : "Identify opportunities; Complex tradeoffs", "outcomesObjectives" : "Drive millions in incremental revenue", "qualificationsBasic" : "5+ years technical program management, 7+ years working with engineering teams, 3+ years software development, 5+ years technical program management with software engineering teams, Experience managing cross functional teams, Experience building processes, Experience coordinating release schedules", "qualificationsPreferred" : "5+ years project management disciplines, Experience defining KPIs/SLAs, Reporting to senior leadership, Usage of generative AI tools, Willingness to learn AI prompting, Ability to recognize AI opportunities", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you have a passion for leading large, cross-organizational, and functional programs and initiatives? Are you looking for an opportunity to join a team that has a global and cross Amazon scope? If yes, we are looking for somebody with your enthusiasm and skills to work as part of our team. Amazon’s WW Promotions team drives time-bound discounts on high-quality products to reinforce our price leadership and empower Selling Partners (SPs) with incremental demand, inventory clearance, and traffic growth. As the central stewards of promotions data, our Data & Analytics team delivers trusted, governed datasets that power product development, machine learning models, and business analytics across Amazon. We are seeking a Senior Technical Program Manager to lead complex, cross-functional programs that enable the sourcing, execution, and optimization of promotions at scale. You will collaborate with engineering, machine learning, data governance, and business teams to design, launch, and iterate on programs that transform raw promotional data into actionable insights, driving millions in incremental revenue for Amazon and SPs. Key job responsibilities Key job responsibilities - Own the development and delivery of key programs across Data and BI engineering teams - Lead planning, execution, and delivery of projects across the different workstreams - Own communication for technical delivery across these projects with senior leadership and partner organizations - Support sprint planning and reporting for our engineering teams, and support annual roadmapping cycles - Identify and develop automated, self-serve mechanisms to scale currently manual processes where relevant, and work with internal stakeholders to drive adoption - Support the team in developing metrics, measuring their impact, and identifying ways to improve against them - Thrive in working with key stakeholders across the Globe to define strategy and requirements, and to align on a path forward when there are complex tradeoffs - Communicate regularly with senior leadership on status, risks, and change control - Make technical concepts intuitive for non-technical audiences, especially in regards to infrastructure constraints Basic Qualifications: - 5+ years of technical product or program management experience - 7+ years of working directly with engineering teams experience - 3+ years of software development experience - 5+ years of technical program management working directly with software engineering teams experience - Experience managing programs across cross functional teams, building processes and coordinating release schedules Preferred Qualifications: - 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience - Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules - Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership - Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices. - Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, BC, Vancouver - 128,100.00 - 214,000.00 CAD annually", "summaryDescription" : "Sr. Technical Program Manager (TPM), WW Promotions and Events Data and Insights at Amazon Development Centre Canada ULC. Skills: Technical Program Management, Data Insights, Promotions Data. Own development and delivery of key programs. Lead planning, execution, and delivery of projects", "postedDate" : "2026-06-13T05:01:52.883", "createdAt" : "2026-06-13T05:01:52.883", "lastUpdated" : "2026-06-15T03:05:25.517", "ingestTimestamp" : "2026-06-13T05:01:52.883", "mongoId" : "69e104402beec4dd3def24e7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10386401/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Promotions Data Management", "Data Sourcing", "Data Execution", "Data Optimization", "Automated Mechanisms", "Self-Serve Mechanisms", "Metrics Measurement", "Impact Measurement", "Process Improvement", "Strategy Definition", "Technical Concept Communication", "Leadership", "Technical Program Management", "Data Insights", "Promotions Data", "Program Management", "Data Governance", "Business Analytics", "Product Development", "Roadmapping", "Metrics Development", "Stakeholder Management", "Requirements Definition", "Tradeoff Analysis", "Scope Management", "Schedule Management", "Budget Management", "Quality Management", "Risk Management", "Critical Path Management", "Process Building", "Release Schedule Coordination", "Selling Partner Demand", "Inventory Clearance", "Traffic Growth", "Machine Learning Models", "Promotions Execution", "Promotions Optimization" ], "skillCount" : 38, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "_score" : 649.84216, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69d5e4972beec4dd3d931a04", "title" : "Senior Customer Insights Manager, Customer Experience", "company" : "Zappos.com LLC", "industry" : "Business Intelligence, Planning/Development, subsidiaries", "salary" : { "min" : 130000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T01:37:04.930", "fingerprint" : "0c82aefa1a33eb9187884f4535c784ce545481ddbe70076fc402047e97c1ec2c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10384387/apply", "externalId" : "e48c1531-7535-4fe1-9628-50c34b22ce4c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Tableau, Power BI", "professionalSkills" : [ "Customer segmentation", "Customer intelligence", "Customer lifecycle", "Customer behavior", "Customer experience", "Customer analytics", "Customer value", "Customer strategies", "Customer communication", "Customer forecast" ], "hardSkillsList" : [ "Data analysis", "Business intelligence", "Data-driven insights", "Analytical skills", "Customer behavior analysis", "Retail dynamics analysis", "Segmentation strategies", "Customer journey analysis", "Customer lifecycle analysis", "Customer engagement analysis", "Performance deep dives", "Signal identification", "Actionable strategy translation", "Incrementality testing", "Holdout studies", "Correlation reporting", "Metric tracking", "KPI measurement", "Ad-hoc reporting", "Scalable infrastructure", "Analytical infrastructure", "Test interpretation", "Holdout result interpretation", "Incremental value assessment", "Communication optimization", "Segment-specific experiences", "Scenario planning", "Analytical inputs" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Data-driven insights", "level" : "intermediate" }, { "name" : "Analytical skills", "level" : "intermediate" }, { "name" : "Customer behavior analysis", "level" : "intermediate" }, { "name" : "Retail dynamics analysis", "level" : "intermediate" }, { "name" : "Segmentation strategies", "level" : "intermediate" }, { "name" : "Customer journey analysis", "level" : "intermediate" }, { "name" : "Customer lifecycle analysis", "level" : "intermediate" }, { "name" : "Customer engagement analysis", "level" : "intermediate" }, { "name" : "Performance deep dives", "level" : "intermediate" }, { "name" : "Signal identification", "level" : "intermediate" }, { "name" : "Actionable strategy translation", "level" : "intermediate" }, { "name" : "Incrementality testing", "level" : "intermediate" }, { "name" : "Holdout studies", "level" : "intermediate" }, { "name" : "Correlation reporting", "level" : "intermediate" }, { "name" : "Metric tracking", "level" : "intermediate" }, { "name" : "KPI measurement", "level" : "intermediate" }, { "name" : "Ad-hoc reporting", "level" : "intermediate" }, { "name" : "Scalable infrastructure", "level" : "intermediate" }, { "name" : "Analytical infrastructure", "level" : "intermediate" }, { "name" : "Test interpretation", "level" : "intermediate" }, { "name" : "Holdout result interpretation", "level" : "intermediate" }, { "name" : "Incremental value assessment", "level" : "intermediate" }, { "name" : "Communication optimization", "level" : "intermediate" }, { "name" : "Segment-specific experiences", "level" : "intermediate" }, { "name" : "Scenario planning", "level" : "intermediate" }, { "name" : "Analytical inputs", "level" : "intermediate" } ], "majorSkills" : "Customer insights, Data analysis, Business intelligence", "majorSkillsList" : [ "Customer insights", "Data analysis", "Business intelligence" ], "coreResponsibilities" : "Develop customer segmentation frameworks, Execute deep dives into segment performance, Surface insights, Identify signals of momentum, Identify signals of risk, Translate customer intelligence into strategies, Improve customer lifetime value, Test incrementality through holdout studies, Iterate based on measured impact, Develop key customer metrics, Track key customer metrics, Measure effectiveness of customer strategies, Maintain ongoing reporting, Develop capabilities to answer ad-hoc questions, Build analytical infrastructure, Support ongoing analytics needs, Support evolving analytics needs, Support incrementality measurement, Interpret tests, Interpret holdout results, Assess strategy impact, Optimize customer communication strategies, Optimize segment-specific experiences, Partner with Finance for forecast, Partner with Finance for scenario planning, Provide analytical inputs for business planning, Provide analytical inputs for investment decisions", "teamCollaboration" : "Lifecycle Marketing; Finance; Data Engineering; Cross-functional partners", "domainKnowledge" : "Ecommerce KPIs; Customer journeys; Customer segmentation; Customer lifecycle; Customer behavior; Retail dynamics", "domainList" : [ "ecommerce-kpis", "customer-journeys", "customer-segmentation", "customer-lifecycle", "customer-behavior", "retail-dynamics" ], "domainSpecificKnowledge" : [ "Ecommerce KPIs", "Customer journeys", "Customer segmentation", "Customer lifecycle", "Customer behavior", "Retail dynamics" ], "toolProficiency" : [ "Tableau", "Power BI", "Excel" ], "problemSolvingSkills" : "Analytical skills", "outcomesObjectives" : "Measurably improve customer lifetime value; Drive incremental customer value", "qualificationsBasic" : "5+ years analytical field experience, 3+ years writing SQL queries, 3+ years creating BI reports, Bachelor's degree, Experience defining requirements, Experience using data and metrics, Experience with Excel, Experience with SQL, Experience making business recommendations, Experience influencing stakeholders", "qualificationsPreferred" : "MBA, Generative AI tools usage, Learn effective prompting practices, Learn evaluation practices", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Zappos is looking for a customer obsessed Customer Insights Analyst to join the Customer Analytics organization. This role will be pivotal in shaping how we understand, engage with, and grow our customer base through data-driven insights. The candidate will have a strong understanding of ecommerce KPIs, customer journeys, and segmentation strategies that span the full customer lifecycle. The right candidate will have the analytical skills to answer strategic questions that are complex, dynamic, and not always clearly defined. The candidate must possess strong technical skills, including proficiency in SQL, data analysis tools, and visualization platforms, while maintaining a deep understanding of customer behavior and retail dynamics. The ideal candidate will be passionate about deeply understanding who our customer is, what motivates them, and how we can improve their experience. They should have a collaborative mindset that enables them to work effectively across Lifecycle Marketing, Finance, Data Engineering, and other cross-functional partners. This position sits within the Customer Experience organization. Key job responsibilities Own the development and of Zappos customer segmentation frameworks spanning value, behavior, lifecycle stage, and engagement patterns. Execute rigorous deep dives into segment performance to surface insights and identify early signals of momentum or risk. Translate customer intelligence into actionable strategies across lifecycle marketing, discovery, and acquisition targeting that measurably improve customer lifetime value. Test incrementality through holdout studies and iterate based on measured impact rather than correlation-based reporting. Develop and track key customer metrics and KPIs to measure the effectiveness of customer strategies. Maintain ongoing reporting and develop capabilities to answer ad-hoc business questions with speed and accuracy Build scalable analytical infrastructure in partnership with Data Engineering to support ongoing and evolving customer analytics needs Support incrementality measurement by interpreting tests and holdout results to assess whether strategies are driving incremental customer value. Partner closely with Lifecycle Marketing to optimize customer communication strategies and segment-specific experiences across all channels Partner with Finance for customer forecast and scenario planning, providing analytical inputs that support business planning and investment decisions Support incrementality measurement by interpreting tests and holdout results to assess whether lifecycle marketing strategies are driving incremental customer value About the team The F2 Subsidiary Customer Experience org supports both Zappos and Shopbop, Amazon Fashion subsidiary businesses with teams in New York, NY, Madison, WI, and Las Vegas, NV. Basic Qualifications: - 5+ years of tax, finance or a related analytical field experience - 3+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience - Bachelor's degree - Experience defining requirements and using data and metrics to draw business insights - Experience with Excel - Experience with SQL - Experience making business recommendations and influencing stakeholders Preferred Qualifications: - MBA - 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. 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 - 130,000.00 - 185,000.00 USD annually", "summaryDescription" : "Senior Customer Insights Manager, Customer Experience at Zappos.com LLC. Skills: Customer insights, Data analysis, Business intelligence. Develop customer segmentation frameworks. Execute deep dives into segment performance", "postedDate" : "2026-06-13T02:46:19.358", "createdAt" : "2026-06-13T02:46:19.358", "lastUpdated" : "2026-06-15T01:37:04.930", "ingestTimestamp" : "2026-06-13T02:46:19.358", "mongoId" : "69d5e4972beec4dd3d931a04", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10384387/apply", "salaryAnnualMin" : 130000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Business intelligence", "Data-driven insights", "Analytical skills", "Customer behavior analysis", "Retail dynamics analysis", "Segmentation strategies", "Customer journey analysis", "Customer lifecycle analysis", "Customer engagement analysis", "Performance deep dives", "Signal identification", "Actionable strategy translation", "Incrementality testing", "Holdout studies", "Correlation reporting", "Metric tracking", "KPI measurement", "Ad-hoc reporting", "Scalable infrastructure", "Analytical infrastructure", "Test interpretation", "Holdout result interpretation", "Incremental value assessment", "Communication optimization", "Segment-specific experiences", "Scenario planning", "Analytical inputs", "Customer insights", "Customer segmentation", "Customer intelligence", "Customer lifecycle", "Customer behavior", "Customer experience", "Customer analytics", "Customer value", "Customer strategies", "Customer communication", "Customer forecast", "Ecommerce KPIs", "Customer journeys", "Retail dynamics", "Tableau", "Power BI", "Excel" ], "skillCount" : 45, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 649.77856, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2cb02174d8ee00a09d8f96", "title" : "Applied Data Science & Insights Leader - GTM Intelligence Solutions and Technical Success", "company" : "OpenAI", "industry" : "Data Science", "salary" : { "min" : 441000.0, "max" : 515000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-15T12:51:46.275", "fingerprint" : "19f28dac0c4ff5d5a7bbd9d78762a57246c9d4f0b9ec22ecf275ea3cf517fd70", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/OpenAI/93f558c1-c944-4ddc-b102-addc9446de3d/application", "externalId" : "93f558c1-c944-4ddc-b102-addc9446de3d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python, R, Scala, Spark, SQL, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Modelling skills" ], "hardSkillsList" : [ "Statistical methods", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Statistical methods", "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" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Applied Data Science, Insights, GTM Intelligence, Technical Success", "majorSkillsList" : [ "Applied Data Science", "Insights", "GTM Intelligence", "Technical Success" ], "coreResponsibilities" : "Define roadmap, Lead roadmap, Build data science foundation, Develop propensity score models, Build team, Mentor team, Lead team, Set technical standards, Create operating rhythms, Build predictive models, Build causal models, Design next-best-action systems, Identify account opportunities, Identify account risks, Recommend playbooks, Explain recommendations, Partner with leaders, Enumerate playbooks, Enumerate actions, Instrument action tracking, Measure outcomes, Develop customer segmentation, Develop benchmarking frameworks, Create scalable insight products, Embed insight products, Translate field feedback, Translate account patterns", "teamCollaboration" : "Cross-functional leaders; GTM teams; Technical Success teams; Product teams; Engineering teams; RevOps teams; Finance teams", "projectManagementSkills" : [ "Roadmap execution" ], "domainKnowledge" : "Customer intelligence; Customer adoption; Product telemetry; Customer health; Revenue; Support tier; Commercial context; Field activity; Customer lifecycle; GTM strategy; Technical Success; Customer segmentation; Product usage; Customer behavior; Field activity; Customer feedback; B2B business; Customer success; Product gaps; Repeatable playbooks; Customer escalations; Missed opportunities; Customer risk; Expansion potential; Product adoption; Customer lifecycle stage; Intervention effectiveness; Customer outcomes; Customer happy paths; Durable adoption; Customer retention; Sales workflows; Finance workflows; Product workflows; Executive leadership", "domainList" : [ "customer-intelligence", "customer-adoption", "product-telemetry", "customer-health", "revenue", "support-tier", "commercial-context", "field-activity", "customer-lifecycle", "gtm-strategy", "technical-success", "customer-segmentation", "product-usage", "customer-behavior", "customer-feedback", "b2b-business", "customer-success", "product-gaps", "repeatable-playbooks", "customer-escalations", "missed-opportunities", "customer-risk", "expansion-potential", "product-adoption", "customer-lifecycle-stage", "intervention-effectiveness", "customer-outcomes", "customer-happy-paths", "durable-adoption", "customer-retention", "sales-workflows", "finance-workflows", "product-workflows", "executive-leadership" ], "domainSpecificKnowledge" : [ "Customer intelligence", "Customer adoption", "Product telemetry", "Customer health", "Revenue", "Support tier", "Commercial context", "Field activity", "Customer lifecycle", "GTM strategy", "Technical Success", "Customer segmentation", "Product usage", "Customer behavior", "Field activity", "Customer feedback", "B2B business", "Customer success", "Product gaps", "Repeatable playbooks", "Customer escalations", "Missed opportunities", "Customer risk", "Expansion potential", "Product adoption", "Customer lifecycle stage", "Intervention effectiveness", "Customer outcomes", "Customer happy paths", "Durable adoption", "Customer retention", "Sales workflows", "Finance workflows", "Product workflows", "Executive leadership" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "SageMaker", "Vertex AI", "ML Studio" ], "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Accelerate durable growth; Scale customer adoption; Scale customer expansion; Improve customer outcomes; Move pilots to production; Deepen product usage; Identify high-value use cases; Reduce churn risk; Create faster feedback loop", "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "ABOUT THE TEAM The GTM Data Science team partners with Go-to-Market, Technical Success, Product, Engineering, RevOps, and Strategic Finance to build the shared intelligence layer for OpenAI's B2B business. The team turns product usage, customer behavior, revenue, field activity, and customer feedback into rigorous insight products that help leaders and field teams understand where customers are succeeding, where adoption is blocked, and what actions will accelerate durable growth. We are building systems that make customer intelligence proactive: surfacing risk, expansion potential, product gaps, and repeatable playbooks before they show up as escalations or missed opportunities. ABOUT THE ROLE As the Applied Data Science & Insights Lead for GTM Intelligence Solutions and Technical Success, you will be a hands-on technical leader responsible for shaping how OpenAI measures, understands, and improves customer adoption across our B2B products. You will build AI/ML-powered intelligence products that connect account health, product usage, customer lifecycle, support tier, qualitative sentiment, commercial context, and field actions into a practical operating system for GTM and Technical Success. This role will build the data science foundation for Technical Success: defining the metrics, models, operating insights, and decision systems that help the team scale customer adoption and expansion with rigor. You will also be expected to build and lead a small mighty team over time: setting direction, hiring and developing talent, creating operating cadences, and holding a high bar for technical rigor and business impact. You will lead the development of models, metrics, and decision systems that recommend what GTM and Technical Success teams should do next, explain why, and measure whether those interventions worked. Your work will help customers move from pilots to production, deepen usage across products, identify high-value use cases, reduce churn risk, and create a faster feedback loop from the field back to Product and Research. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. THE VISION - Build a unified GTM intelligence layer that connects product telemetry, customer health, revenue, support tier, lifecycle stage, field activity, and qualitative feedback. - Turn adoption breadth, usage depth, sentiment, and customer maturity signals into next-best-action systems for Technical Success and field teams. - Create a measurement foundation for Technical Success playbooks, including whether recommended actions were taken and whether they improved customer outcomes. - Help OpenAI understand customer happy paths: the use cases, product behaviors, and interventions that lead to durable adoption, expansion, and retention. - Productize insights into workflows used by Technical Success, Sales, RevOps, Finance, Product, and executive leadership. IN THIS ROLE, YOU WILL: - Define and lead the roadmap for GTM Intelligence and Technical Success insight products in partnership with cross-functional leaders. - Build the data science foundation for Technical Success, including core metrics, customer health definitions, intervention measurement, and reusable playbook analytics. - Develop propensity score models for model and product feature adoption, helping Technical Success and GTM identify which customers are most likely to adopt, which interventions can move adoption, and where support should focus. - Build, mentor, and lead a small team of data scientists and cross-functional analytics partners as the GTM Intelligence function scales. - Set technical standards for modeling, metrics, experimentation, documentation, and production readiness across the team's work. - Create team operating rhythms that balance urgent field needs with durable roadmap execution, quality review, and stakeholder alignment. - Build predictive and causal models for customer health, expansion propensity, churn risk, adoption depth, use-case fit, and intervention effectiveness. - Design next-best-action systems that identify account opportunities and risks, recommend playbooks, and explain the evidence behind each recommendation. - Partner with Technical Success leaders to enumerate playbooks and actions, instrument action tracking, and measure outcomes over time. - Develop customer segmentation and benchmarking frameworks across products, industries, personas, support tiers, and lifecycle stages. - Create scalable insight products that are embedded into field workflows rather than living only as one-off analyses or static dashboards. - Translate field feedback and account-level patterns into clear product and GTM recommendations for senior leadership. - Collaborate with Data Engineering and RevOps to improve the data foundations connecting product telemetry, Salesforce, support signals, revenue, and qualitative feedback. - Maintain a high bar for analytical rigor, including causal evaluation, validation, data quality, and clear caveats. YOU MIGHT THRIVE IN THIS ROLE IF YOU HAVE: - 10+ years of experience in applied data science, analytics, machine learning, quantitative strategy, or a closely related field. - Deep technical skill in SQL and Python, with the ability to move from raw tables to production-quality models, metrics, and decision systems. - Strong applied experience with statistical modeling, causal inference, machine learning, customer segmentation, churn or health modeling, or recommendation systems. - Experience with propensity score modeling, uplift modeling, or related causal methods for adoption, activation, retention, or product feature usage. - Experience building production or workflow-embedded data products for GTM, sales, customer success, technical success, growth, or enterprise SaaS teams. - Product intuition and business judgment for turning ambiguous questions into repeatable models, tools, metrics, and operating cadences. - Excellent communication skills, including the ability to distill complex analysis into clear recommendations for technical partners, field teams, and executives. - Comfort partnering across technical and non-technical teams, including Product, Engineering, Technical Success, Sales, RevOps, Finance, and Data Engineering. - A track record of operating autonomously in fast-moving environments and raising the quality of how teams use data to make decisions. - Experience leading teams or serving as a technical lead for multi-person data science initiatives, including mentoring, roadmap-setting, and quality review. - Ability to hire, develop, and retain strong data science talent while creating a collaborative, high-accountability team culture. - An advanced degree in a quantitative field, or equivalent practical experience. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "summaryDescription" : "Applied Data Science & Insights Leader - GTM Intelligence Solutions and Technical Success at OpenAI. Skills: Applied Data Science, Insights, GTM Intelligence, Technical Success. Define roadmap. Lead roadmap", "createdAt" : "2026-06-14T09:38:50.355", "lastUpdated" : "2026-06-15T12:51:46.275", "ingestTimestamp" : "2026-06-14T09:38:50.355", "mongoId" : "6a2cb02174d8ee00a09d8f96", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 441000, "salaryAnnualMax" : 515000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Statistical methods", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Leadership", "Mentoring", "Applied Data Science", "Insights", "GTM Intelligence", "Technical Success", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Modelling skills", "Roadmap execution", "Customer intelligence", "Customer adoption", "Product telemetry", "Customer health", "Revenue", "Support tier", "Commercial context", "Field activity", "Customer lifecycle", "GTM strategy", "Customer segmentation", "Product usage", "Customer behavior", "Customer feedback", "B2B business", "Customer success", "Product gaps", "Repeatable playbooks", "Customer escalations", "Missed opportunities", "Customer risk", "Expansion potential", "Product adoption", "Customer lifecycle stage", "Intervention effectiveness", "Customer outcomes", "Customer happy paths", "Durable adoption", "Customer retention", "Sales workflows", "Finance workflows", "Product workflows", "Executive leadership", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "SageMaker", "Vertex AI", "ML Studio" ], "skillCount" : 63, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 644.8987, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a0f529b58b93c861e052fca", "title" : "Sr. Manager, Customer Performance & Insights", "company" : "Hyundai Capital America", "location" : "United States-California-Irvine", "locations" : [ "United States-California-Irvine", "
Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
Irvine, 92612

" ], "timestamp" : "2026-06-15T13:57:07.233", "fingerprint" : "71c876584c8bc802443fa6a9717e593495b85bf227c1884721d5d702f910419a", "source" : "taleo", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=116564", "externalId" : "116564", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid" } ], "locationText" : "Irvine, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 8, "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "Customer experience, financing, leasing, insurance solutions." ], "hardSkillsList" : [ "SQL", "Python" ], "softSkillsList" : [ "leadership" ], "hardSkills" : [ { "name" : "SQL", "level" : "intermediate" }, { "name" : "Python", "level" : "intermediate" } ], "softSkills" : [ { "name" : "leadership" } ], "majorSkills" : "customer insights, CX analytics, predictive analytics, stakeholder management, leadership", "majorSkillsList" : [ "customer insights, CX analytics, predictive analytics, stakeholder management, leadership" ], "coreResponsibilities" : "Responsible for delivering a comprehensive, real-time view of customer experience performance across the enterprise. Builds and oversees the full ecosystem of customer feedback to uncover actionable insights, identify experience gaps, and guide business stakeholders toward data-driven, customer-focused improvements.", "teamCollaboration" : "Facilitate cross-functional alignment and embed customer-driven decision-making.", "toolProficiency" : [ "Glassbox, Microsoft Office" ], "communicationSkills" : "executive-level communication; storytelling; executive presentation", "problemSolvingSkills" : "analytical; problem-solving", "specialRequirements" : "Work model is onsite 4 days a week. Compliance with all applicable federal, state, and local equal employment opportunity laws. California Privacy Notice provided.", "outcomesObjectives" : "Identify customer pain points and journey friction by connecting insights across touchpoints, behavioral data, and feedback signals. Develop dashboards, scorecards, and executive reporting that shift from reactive reporting to proactive, predictive CX management. Establish proactive monitoring and predictive analytics to detect emerging CX risks. Design and manage closed-loop feedback systems to ensure resolution and measurable improvements.", "qualificationsBasic" : "8+ years in customer insights, CX analytics, research, VoC, or CX strategy. 3+ years of leadership experience. Predictive analytics experience related to customer behavior or journey risk. Experience managing qualitative, quantitative, and behavioral research programs. Proven ability to influence senior stakeholders and lead cross-functional initiatives. Executive-level communication experience. Bachelor’s degree in relevant field required.", "qualificationsPreferred" : "Advanced degree preferred. Familiarity with CX tools (e.g., Glassbox).", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Job Title: Sr. Manager, Customer Performance & Insights Hyundai Capital America (HCA) helps people move forward. Through Hyundai Motor Finance, Genesis Finance, and Kia Finance, we deliver innovative financing, leasing, and insurance solutions to more than 3 million customers and businesses nationwide. We’re a company driven by growth, innovation, and people. At HCA, you’ll find opportunities to build new skills, expand your career, and make a real impact—while working in a diverse, inclusive, and values driven environment. We’re proud to support our communities through volunteerism, philanthropy, and engaged Employee Resource Groups. If you’re looking for a fast paced, collaborative workplace where your ideas matter, join us as we lead the future of financing freedom of movement. Apply today. WORK MODEL #LI-OnSite (4 days a week) WHAT YOU WILL DO The Sr. Manager, Customer Performance & Insights is a strategic analytics leader responsible for delivering a comprehensive, real-time view of customer experience performance across the enterprise. This role builds and oversees the full ecosystem of customer feedback—both stated and unstated—to uncover actionable insights, identify experience gaps, and guide business stakeholders toward data-driven, customer-focused improvements. HOW YOU WILL MAKE AN IMPACT Own and evolve the enterprise CX Health measurement framework, integrating feedback across channels to deliver a holistic view of customer experience Identify customer pain points and journey friction by connecting insights across touchpoints, behavioral data, and feedback signals Develop dashboards, scorecards, and executive reporting that shift from reactive reporting to proactive, predictive CX management Lead customer research and analytics programs, translating findings into actionable, prioritized recommendations Integrate insights from social media, call centers, complaints, operational data, and tools like Glassbox Establish proactive monitoring and predictive analytics to detect emerging CX risks Facilitate cross-functional alignment and embed customer-driven decision-making Design and manage closed-loop feedback systems to ensure resolution and measurable improvements Influence senior stakeholders through storytelling and data-backed recommendations Lead, mentor, and develop a high-performing team WHAT YOU WILL BRING TO THE ROLE Experience: 8+ years in customer insights, CX analytics, research, VoC, or CX strategy 3+ years of leadership experience Predictive analytics experience related to customer behavior or journey risk Experience managing qualitative, quantitative, and behavioral research programs Proven ability to influence senior stakeholders and lead cross-functional initiatives Executive-level communication experience Education: Bachelor’s degree in relevant field required Advanced degree preferred Skills & Knowledge: Expertise in customer insights, VoC, and CX measurement Strong analytical and problem-solving skills Experience with SQL, Python, or predictive modeling tools Ability to translate data into actionable strategies Familiarity with CX tools (e.g., Glassbox) Strong storytelling and executive presentation skills Stakeholder management in matrixed environments Advanced Excel and Microsoft Office skills Strong communication and leadership abilities WE TAKE CARE OF OUR PEOPLE Along with competitive pay, as an employee of HCA, you are eligible for: · Medical, dental, and vision plans with no-cost and low-cost options · Annual employer HSA contribution · 401(k) matching and immediate vesting · Vehicle purchase and lease discounts, plus monthly vehicle allowances by job level: o Associate / Sr. Associate: $350 o Manager / Sr. Manager: $600 o Director: $800 o Executive Director: $900 o VP or Above: $1,000 · 100% employer-paid life and disability insurance · No-cost health and wellbeing programs, including a gym benefit · Six weeks of paid parental leave · Paid Volunteer Time Off, plus a company donation to a charity of your choice WHAT HAPPENS NEXT Express your interest by submitting an application. Our recruiting team will review your application to assess alignment with the role. Visit our careers page to learn more about our culture. OTHER DETAILS Work Environment & Physical Requirements: Extended sitting, standing, and screen time in a hybrid work environment (office and remote). Our Company is an equal opportunity employer committed to fostering a diverse, inclusive, and respectful workplace—because we believe diversity builds stronger teams. We comply with all applicable federal, state, and local equal employment opportunity laws and do not discriminate on the basis of race, religion or creed, color, national origin, ancestry, caste, citizenship, sex or gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, medical condition, genetic information, marital status, family care or medical leave status, military or veteran status, political affiliation, or any other characteristic protected by law. Information provided during the application process is requested in good faith and will be used solely in accordance with applicable employment laws. California Privacy Notice This notice only applies to our applicants who reside in the State of California. The latest version of our Privacy Policy can be found here . This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 (“CCPA”). If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com . United States-California-Irvine", "summaryDescription" : "Sr. Manager, Customer Performance & Insights at Hyundai Capital America. Skills: customer insights, CX analytics, predictive analytics, stakeholder management, leadership. Responsible for delivering a comprehensive, real-time view of customer experience performance across the enterprise. Builds and oversees the full ecosystem of customer feedback to uncover actionable insights, identify experience gaps, and guide business stakeholders toward data-driven, customer-focused improvements.", "createdAt" : "2026-06-14T20:47:45.690", "lastUpdated" : "2026-06-15T13:57:07.233", "ingestTimestamp" : "2026-06-14T20:47:45.690", "mongoId" : "6a0f529b58b93c861e052fca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "SQL", "Python", "leadership", "customer insights, CX analytics, predictive analytics, stakeholder management, leadership", "Customer experience, financing, leasing, insurance solutions.", "Glassbox, Microsoft Office" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "_score" : 639.843, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e43bf8b1b0376634c92b", "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" : "2026-06-15T09:55:25.379", "fingerprint" : "58cefa08c8e6c631da3f1b5712d738e9918d8d4a111892f31a5b797fda68a7e6", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3071384/apply", "externalId" : "727f31ff-d576-4901-8950-4401fc137ada", "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" : "SQL, Python, R, Redshift, NoSQL, Tableau, Quicksight, ETL, LLMs", "professionalSkills" : [ "Business intelligence", "Data modeling", "ETL pipelines", "Statistical analysis", "Data visualization", "Pricing strategy", "Promotions strategy", "Anomaly detection", "Business strategy", "Data infrastructure", "Data quality", "Data solutions" ], "hardSkillsList" : [ "Data analysis", "Data modeling", "ETL development", "Data visualization", "Statistical analysis", "Metric development", "SQL querying", "Python scripting", "Anomaly detection", "Reporting systems", "Dashboard creation", "Data quality implementation", "Data solution architecture" ], "softSkillsList" : [ "Curiosity", "Customer obsession", "Entrepreneurial spirit" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "ETL development", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Metric development", "level" : "intermediate" }, { "name" : "SQL querying", "level" : "intermediate" }, { "name" : "Python scripting", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "Reporting systems", "level" : "intermediate" }, { "name" : "Dashboard creation", "level" : "intermediate" }, { "name" : "Data quality implementation", "level" : "intermediate" }, { "name" : "Data solution architecture", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curiosity" }, { "name" : "Customer obsession" }, { "name" : "Entrepreneurial spirit" } ], "majorSkills" : "Business intelligence, Data engineering, Analytics", "majorSkillsList" : [ "Business intelligence", "Data engineering", "Analytics" ], "coreResponsibilities" : "Spearhead business intelligence initiatives, Develop advanced analytical metrics, Develop advanced analytical models, Present compelling insights, Present recommendations to senior leadership, Harness LLMs, Generate business impacting insights, Lead data-driven discussions, Pioneer new methodologies, Design automated reporting systems, Create intuitive dashboards, Transform complex data, Innovate tools, Simplify processes, Enhance back-end data sources, Improve accuracy, Streamline operations, Implement data quality best practices, Implement modeling best practices, Architect scalable data solutions, Craft compelling narratives from data, Develop effective metrics, Collaborate across teams, Drive adoption of data-driven strategies, Champion a culture of innovation, Seek ways to improve, Seek ways to automate, Stay at forefront of BI trends, Bring developing technologies, Mentor colleagues, Elevate team capabilities", "teamCollaboration" : "Cross-functional teams; Product teams; Across teams", "domainKnowledge" : "Pricing; Promotions; Retail pricing; Customer behavior; Market dynamics", "domainList" : [ "pricing", "promotions", "retail-pricing", "customer-behavior", "market-dynamics" ], "domainSpecificKnowledge" : [ "Pricing", "Promotions", "Retail pricing", "Customer behavior", "Market dynamics" ], "toolProficiency" : [ "Tableau", "Quicksight", "Redshift", "Python" ], "communicationSkills" : "Presenting insights; Presenting recommendations; Crafting narratives", "continuousLearning" : "Learning new technologies; Stay at forefront of BI trends", "innovationCreativity" : "Innovate in fast-paced environment; Pioneer new methodologies; Innovate tools; Innovate processes; Culture of innovation", "problemSolvingSkills" : "Solving complex problems; Simplify complex problems", "outcomesObjectives" : "Drive pricing and promotions decisions; Shape business strategy; Drive customer satisfaction; Influence business growth; Enhance customer experience; Drive efficiency; Maximize impact; Improve accuracy; Streamline operations; Grow with the business; Influence key stakeholders; Shape future of pricing; Shape future of promotions; Drive adoption of strategies; Improve and automate; Elevate team capabilities; Impact customer experience; Impact business growth", "qualificationsBasic" : "3+ years analyzing data, Experience with Redshift, Experience with Oracle, Experience with NoSQL, Experience as BIE, Experience with Tableau, Experience with Quicksight, Experience with data modeling, Experience with warehousing, Experience building ETL, Experience with R, Experience with SAS, Experience with Matlab, Experience developing metrics, Experience presenting recommendations, Experience using SQL, Scripting experience (Python), Bachelors Degree", "qualificationsPreferred" : "Experience with EC2, Experience with DynamoDB, Experience with S3, Experience with Redshift, Experience in data mining, Experience with ETL, Experience using databases, Experience with large-scale datasets, Experience with complex datasets", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Shape How Amazon Serves Millions Through Pricing and Promotions Ready to transform how customers experience Amazon? Join our Pricing & Promotions Science, Data, and Insights team, where your analytical expertise will directly influence pricing and promotions decisions that impact millions of customers globally. Your Impact As a Business Intelligence Engineer, you'll be at the heart of Amazon's data-driven culture, building automated analytics tools that power intelligent pricing and promotions decisions. Your insights will shape strategy, drive customer satisfaction, and influence business growth across one of Amazon's most critical functions. What Makes You a Great Fit - You're a hands-on engineer who thrives on solving complex problems - You have an insatiable curiosity and love learning new technologies - You see opportunities where others see challenges - You build trust through delivery and customer obsession - You bring an entrepreneurial spirit to everything you do What You'll Create - Automated analytics systems that drive pricing and promotions decisions - Sophisticated anomaly detection tools - Data-driven insights that shape business strategy - Solutions that simplify complex problems - Tools that enhance customer experience Why This Role - Direct impact on Amazon's core business decisions - Opportunity to innovate in a fast-paced environment - Work with advanced analytics technologies - Shape the future of retail pricing and promotions - Join a team that values curiosity and creativity Transform data into decisions that matter. Join us in making Amazon the most customer-centric company through intelligent pricing solutions. Key job responsibilities Drive Strategic Insights - Spearhead business intelligence initiatives that directly impact Amazon's pricing and promotions strategy - Develop advanced analytical metrics and models to uncover hidden business opportunities - Present compelling insights and recommendations to senior leadership, influencing key decisions Innovate with Advanced Analytics - Harness the power of Large Language Models (LLMs) to generate business impacting insights - Lead data-driven discussions with Product teams to accelerate growth - Pioneer new methodologies in pricing and promotions analytics, setting industry standards Build Scalable Solutions - Design and implement automated reporting systems that drive efficiency - Create intuitive dashboards that transform complex data into clear, actionable insights - Continuously innovate and simplify tools and processes, maximizing impact Optimize Data Infrastructure - Enhance back-end data sources to improve accuracy and streamline operations - Implement best practices in data quality and modeling - Architect scalable data solutions that grow with the business Influence Through Communication - Craft compelling narratives from data, influencing key stakeholders - Develop effective metrics that shape the future of Amazon's pricing and promotions - Collaborate across teams to drive adoption of data-driven strategies Lead Continuous Improvement - Champion a culture of innovation, constantly seeking ways to improve and automate - Stay at the forefront of BI trends, bringing developing technologies to the team - Mentor colleagues in advanced analytics techniques, elevating team capabilities In this role, you'll be at the forefront of shaping how Amazon prices and promotes products globally. Your analytical expertise will directly impact customer experience and business growth, making you a key player in Amazon's mission to be Earth's most customer-centric company. About the team The Pricing and Promotions (P2) Science, Data and Insights team is at the forefront of Amazon's data revolution, orchestrating a sophisticated ecosystem with hundreds of PBs of data and thousands of active datasets that empower business leaders to create exceptional customer experiences through data-driven pricing and promotional strategies. Our team combines deep engineering expertise with business acumen to manage mission-critical data and insights that influence billions in revenue decisions, while pioneering innovative approaches that transform how Amazon understands customer behavior and market dynamics. Our strength comes from the diverse perspectives and backgrounds of our team members, who bring unique problem-solving approaches to these complex challenges. We're currently implementing an ambitious three-year transformation strategy that will fundamentally reshape how Amazon makes pricing and promotional decisions, focusing on intelligent automation and proactive insights that drive business outcomes. Beyond managing science, data, and insights, we're true strategic partners who translate complex information into actionable intelligence that shapes Amazon's direction across global marketplaces. If you're passionate about solving complex business problems at massive scale while working in a collaborative culture that values both analytical rigor and business impact, you'll find compelling opportunities to grow and make a meaningful difference on our team. Basic Qualifications: - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience working as a BIE in a technology company - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Bachelors Degree Preferred Qualifications: - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary for this position ranges from $76,400/year up to $127,600/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.", "summaryDescription" : "Business Intelligence Engineer, P2 Science, Data, and Insights at Amazon Development Centre Canada ULC. Skills: Business intelligence, Data engineering, Analytics. Spearhead business intelligence initiatives. Develop advanced analytical metrics", "postedDate" : "2026-06-13T15:15:17.936", "createdAt" : "2026-06-13T15:15:17.936", "lastUpdated" : "2026-06-15T09:55:25.379", "ingestTimestamp" : "2026-06-13T15:15:17.936", "mongoId" : "68c2e43bf8b1b0376634c92b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3071384/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data modeling", "ETL development", "Data visualization", "Statistical analysis", "Metric development", "SQL querying", "Python scripting", "Anomaly detection", "Reporting systems", "Dashboard creation", "Data quality implementation", "Data solution architecture", "Curiosity", "Customer obsession", "Entrepreneurial spirit", "Business intelligence", "Data engineering", "Analytics", "ETL pipelines", "Pricing strategy", "Promotions strategy", "Business strategy", "Data infrastructure", "Data quality", "Data solutions", "Pricing", "Promotions", "Retail pricing", "Customer behavior", "Market dynamics", "Tableau", "Quicksight", "Redshift", "Python" ], "skillCount" : 35, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "_score" : 637.78296, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 20080, "totalPages" : 402, "hasNext" : true, "hasPrevious" : false } }

Transforming Data Insights Into Actionable Interventions Jobs in New York

Senior Data Scientist, Global Transformation + Insights, GREF – Global Transformation & Insights (GTI)

Associate Director, US Commercial Insights

Applied Scientist, Financial Insights and Actions

Retail Data & Consumer Insights Intern

Sr. Applied Scientist, Financial Insights and Actions

Internship – Nuclear Insights into Ocean Alkalinity

Insights Manager II

Senior Manager, Practice Insights & Operations Transformation

Data Engineer, WW Promotions Data and Insights

Insights Manager II

Senior Data Engineer - Data Insights

Insights and Measurement Lead

Senior Data Analyst, Ads, Sales Enablement & Insights

Client Insights Analyst

Manager, Data & AI Transformations

COMMERCIAL INSIGHTS ANALYST

Analista Pleno de Analytics e Data Insights

Senior Data Analytics Engineer - Data Insights

Business Insights Analyst II

Data Analyst

Retail Insights Manager

FP&A Analyst - Data Insights

Analytics Manager, Partner Insights

Consultant, Analytics & Insights

Senior Data Analytics Engineer - Data Insights

Data Engineering Manager, Planning and Audience Insights

Senior Software Engineer, Data Platform Insights

Graduate Leadership Program | Data Analyst

Senior Software Engineer, Data Platform Insights

Senior Sales Insights Analyst

Director, Insights and Analytics

Retail Operations & Insights, Sr. Analyst

Coordinator, Consumer Insights

Brand Insights Manager

Analytics & Insights Manager, Amazon Ads

Senior Data Transformation Analyst

Consultant, Analytics & Insights (A&I)

Data Engineer, Sales Insights, Analytics, Data Engineering and Science (SIADS)

Senior Social Insights Analyst

Sr. Analyst, Consumer Insights

Sr. Analyst, Consumer Insights

Evidence and Insights Manager

Consumer Data Insights (Fixed Term)

Consumer Data Insights (Fixed Term)

Insight Lead

Sr. Technical Program Manager (TPM), WW Promotions and Events Data and Insights

Senior Customer Insights Manager, Customer Experience

Applied Data Science & Insights Leader - GTM Intelligence Solutions and Technical Success

Sr. Manager, Customer Performance & Insights

Business Intelligence Engineer, P2 Science, Data, and Insights

Common Questions