{ "count" : 26622, "data" : [ { "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" : 876.45074, "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. 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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" : 854.296, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "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" : 848.3655, "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" : 805.24054, "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" : 766.71326, "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" : 761.97424, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.85 }, { "id" : "6a308724f292fd229c0863dc", "title" : "Client Insights Analyst", "company" : "iSeatz", "industry" : "Hospitality", "salary" : { "min" : 77000.0, "max" : 90000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Full-Time Remote (USA)", "locations" : [ "Full-Time Remote (USA)" ], "timestamp" : "2026-06-16T08:42:22.280", "fingerprint" : "f317d1e65bb832dae5c06cb159309f39a2a004a649b31eccca994e5c649fe038", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/iseatz/jobs/5255722008", "externalId" : "5255722008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL", "professionalSkills" : [ "Client-facing analytics", "Client-facing reporting", "Product analytics", "Conversion analysis", "Digital web analytics" ], "hardSkillsList" : [ "Data validation", "Trend identification", "Result interpretation" ], "hardSkills" : [ { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Trend identification", "level" : "intermediate" }, { "name" : "Result interpretation", "level" : "intermediate" } ], "majorSkills" : "Client Insights, Data Analysis", "majorSkillsList" : [ "Client Insights", "Data Analysis" ], "coreResponsibilities" : "Identify trends, Interpret results, Troubleshoot inconsistencies, Communicate findings", "teamCollaboration" : "Collaboration; Customer focus", "domainKnowledge" : "Travel bookings; Lifestyle bookings; Digital commerce; Travel technology; Loyalty tech", "domainList" : [ "travel-bookings", "lifestyle-bookings", "digital-commerce", "travel-technology", "loyalty-tech" ], "domainSpecificKnowledge" : [ "Travel bookings", "Lifestyle bookings", "Digital commerce", "Travel technology", "Loyalty tech" ], "toolProficiency" : [ "Tableau" ], "communicationSkills" : "Written communication; Verbal communication", "continuousLearning" : "Professional development allowance", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "5+ years experience, SQL proficiency, Analytical skills, Problem-solving skills, Data validation skills", "qualificationsPreferred" : "Experience with Snowflake or similar cloud data platforms, Experience in travel, eCommerce, marketplaces, loyalty, or digital consumer products, Experience supporting client-facing analytics, reporting, or product teams, Exposure to product analytics, conversion analysis, or digital web analytics, Familiarity with data governance concepts, Familiarity with data privacy and security best practices, Tableau experience preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Our Mission iSeatz drives enduring brand loyalty through exceptional, connected experiences. Our digital commerce and technology solutions enable travel and lifestyle bookings for the world’s leading brands in financial services, travel, and hospitality, including American Express, IHG Hotels Tableau experience preferred Strong analytical, problem-solving, and data validation skills, with the ability to identify trends, interpret results, troubleshoot inconsistencies, and communicate findings Strong organizational, written, and verbal communication skills Awareness of responsible data handling practices Alignment with iSeatz core values, including collaboration, accountability, curiosity, and customer focus Bonus Points Experience working with Snowflake or similar cloud data platforms Experience in travel, eCommerce, marketplaces, loyalty, or digital consumer products Experience supporting client-facing analytics, reporting, or product teams Exposure to product analytics, conversion analysis, or digital web analytics Familiarity with data governance concepts and data privacy and security best practices Pay Range for this Position: $77,000—$90,000 USD Location This role is remote and can be located anywhere inside the continental United States. iSeatz is a New Orleans-based company with Central Time Zone business hours, but feel free to work from your home office, from the beach, or from the cottage you rented for the summer! What We Bring To The Table iSeatz has been honored as an Inc. Magazine Best Workplace for the past two years — recognition based on our commitment to transparency, trust, and open communication, as well as our efforts to foster growth for our team members beyond their current roles and responsibilities. We trust our team members to use their expertise and creativity to deliver high-quality results — without micromanagement — and support them in building careers that are as dynamic and multifaceted as the work we do. We believe there's no one-size-fits-all approach to engagement or collaboration. That’s why we strive to provide the tools, autonomy, and support employees need to succeed — while delivering exceptional products and services to our customers. We recognize that great work deserves meaningful support. At iSeatz, we provide competitive compensation and a comprehensive suite of benefits to match. Our team members enjoy robust health insurance, a 401(k) plan with company matching, generous paid time off, and up to eight weeks of paid parental leave for eligible caregivers. We’re a remote-first company that values flexibility and autonomy, and we invest in continuous learning with an annual professional development allowance. Whether you're growing your skills, your family, or your impact — we’re here to support what’s next. We Value A Diverse Workplace We are committed to building and maintaining a culture of support, awareness, and sensitivity about the importance and impact of our differences and leverage these differences to build a stronger iSeatz. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact the People Operations Team at humanresources@iseatz.com. A Note About Joining Our Workforce At iSeatz, we're building a team of bold thinkers, innovative builders, and thoughtful collaborators — people who are excited to make an impact, grow their careers, and help shape the future of travel and loyalty tech. If you're energized by meaningful work, passionate about creating exceptional experiences, and ready to bring your unique perspective to a team that values trust, growth, and transparency — we can't wait to meet you.", "summaryDescription" : "Client Insights Analyst at iSeatz. Skills: Client Insights, Data Analysis. Identify trends. 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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. 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GTM teams; Technical Success teams; Product teams; Engineering teams; RevOps teams; Finance teams", "projectManagementSkills" : [ "Roadmap execution" ], "domainKnowledge" : "Customer intelligence; Customer adoption; Product telemetry; Customer health; Revenue; Support tier; Commercial context; Field activity; Customer lifecycle; GTM strategy; Technical Success; Customer segmentation; Product usage; Customer behavior; Field activity; Customer feedback; B2B business; Customer success; Product gaps; Repeatable playbooks; Customer escalations; Missed opportunities; Customer risk; Expansion potential; Product adoption; Customer lifecycle stage; Intervention effectiveness; Customer outcomes; Customer happy paths; Durable adoption; Customer retention; Sales workflows; Finance workflows; Product workflows; Executive leadership", "domainList" : [ "customer-intelligence", "customer-adoption", "product-telemetry", "customer-health", "revenue", "support-tier", "commercial-context", "field-activity", "customer-lifecycle", "gtm-strategy", "technical-success", "customer-segmentation", "product-usage", "customer-behavior", "customer-feedback", "b2b-business", "customer-success", "product-gaps", "repeatable-playbooks", "customer-escalations", "missed-opportunities", "customer-risk", "expansion-potential", "product-adoption", "customer-lifecycle-stage", "intervention-effectiveness", "customer-outcomes", "customer-happy-paths", "durable-adoption", "customer-retention", "sales-workflows", "finance-workflows", "product-workflows", "executive-leadership" ], "domainSpecificKnowledge" : [ "Customer intelligence", "Customer adoption", "Product telemetry", "Customer health", "Revenue", "Support tier", "Commercial context", "Field activity", "Customer lifecycle", "GTM strategy", "Technical Success", "Customer segmentation", "Product usage", "Customer behavior", "Field activity", "Customer feedback", "B2B business", "Customer success", "Product gaps", "Repeatable playbooks", "Customer escalations", "Missed opportunities", "Customer risk", "Expansion potential", "Product adoption", "Customer lifecycle stage", "Intervention effectiveness", "Customer outcomes", "Customer happy paths", "Durable adoption", "Customer retention", "Sales workflows", "Finance workflows", "Product workflows", "Executive leadership" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "SageMaker", "Vertex AI", "ML Studio" ], "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Accelerate durable growth; Scale customer adoption; Scale customer expansion; Improve customer outcomes; Move pilots to production; Deepen product usage; Identify high-value use cases; Reduce churn risk; Create faster feedback loop", "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "ABOUT THE TEAM The GTM Data Science team partners with Go-to-Market, Technical Success, Product, Engineering, RevOps, and Strategic Finance to build the shared intelligence layer for OpenAI's B2B business. The team turns product usage, customer behavior, revenue, field activity, and customer feedback into rigorous insight products that help leaders and field teams understand where customers are succeeding, where adoption is blocked, and what actions will accelerate durable growth. We are building systems that make customer intelligence proactive: surfacing risk, expansion potential, product gaps, and repeatable playbooks before they show up as escalations or missed opportunities. ABOUT THE ROLE As the Applied Data Science & Insights Lead for GTM Intelligence Solutions and Technical Success, you will be a hands-on technical leader responsible for shaping how OpenAI measures, understands, and improves customer adoption across our B2B products. You will build AI/ML-powered intelligence products that connect account health, product usage, customer lifecycle, support tier, qualitative sentiment, commercial context, and field actions into a practical operating system for GTM and Technical Success. This role will build the data science foundation for Technical Success: defining the metrics, models, operating insights, and decision systems that help the team scale customer adoption and expansion with rigor. You will also be expected to build and lead a small mighty team over time: setting direction, hiring and developing talent, creating operating cadences, and holding a high bar for technical rigor and business impact. You will lead the development of models, metrics, and decision systems that recommend what GTM and Technical Success teams should do next, explain why, and measure whether those interventions worked. Your work will help customers move from pilots to production, deepen usage across products, identify high-value use cases, reduce churn risk, and create a faster feedback loop from the field back to Product and Research. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. THE VISION - Build a unified GTM intelligence layer that connects product telemetry, customer health, revenue, support tier, lifecycle stage, field activity, and qualitative feedback. - Turn adoption breadth, usage depth, sentiment, and customer maturity signals into next-best-action systems for Technical Success and field teams. - Create a measurement foundation for Technical Success playbooks, including whether recommended actions were taken and whether they improved customer outcomes. - Help OpenAI understand customer happy paths: the use cases, product behaviors, and interventions that lead to durable adoption, expansion, and retention. - Productize insights into workflows used by Technical Success, Sales, RevOps, Finance, Product, and executive leadership. IN THIS ROLE, YOU WILL: - Define and lead the roadmap for GTM Intelligence and Technical Success insight products in partnership with cross-functional leaders. - Build the data science foundation for Technical Success, including core metrics, customer health definitions, intervention measurement, and reusable playbook analytics. - Develop propensity score models for model and product feature adoption, helping Technical Success and GTM identify which customers are most likely to adopt, which interventions can move adoption, and where support should focus. - Build, mentor, and lead a small team of data scientists and cross-functional analytics partners as the GTM Intelligence function scales. - Set technical standards for modeling, metrics, experimentation, documentation, and production readiness across the team's work. - Create team operating rhythms that balance urgent field needs with durable roadmap execution, quality review, and stakeholder alignment. - Build predictive and causal models for customer health, expansion propensity, churn risk, adoption depth, use-case fit, and intervention effectiveness. - Design next-best-action systems that identify account opportunities and risks, recommend playbooks, and explain the evidence behind each recommendation. - Partner with Technical Success leaders to enumerate playbooks and actions, instrument action tracking, and measure outcomes over time. - Develop customer segmentation and benchmarking frameworks across products, industries, personas, support tiers, and lifecycle stages. - Create scalable insight products that are embedded into field workflows rather than living only as one-off analyses or static dashboards. - Translate field feedback and account-level patterns into clear product and GTM recommendations for senior leadership. - Collaborate with Data Engineering and RevOps to improve the data foundations connecting product telemetry, Salesforce, support signals, revenue, and qualitative feedback. - Maintain a high bar for analytical rigor, including causal evaluation, validation, data quality, and clear caveats. YOU MIGHT THRIVE IN THIS ROLE IF YOU HAVE: - 10+ years of experience in applied data science, analytics, machine learning, quantitative strategy, or a closely related field. - Deep technical skill in SQL and Python, with the ability to move from raw tables to production-quality models, metrics, and decision systems. - Strong applied experience with statistical modeling, causal inference, machine learning, customer segmentation, churn or health modeling, or recommendation systems. - Experience with propensity score modeling, uplift modeling, or related causal methods for adoption, activation, retention, or product feature usage. - Experience building production or workflow-embedded data products for GTM, sales, customer success, technical success, growth, or enterprise SaaS teams. - Product intuition and business judgment for turning ambiguous questions into repeatable models, tools, metrics, and operating cadences. - Excellent communication skills, including the ability to distill complex analysis into clear recommendations for technical partners, field teams, and executives. - Comfort partnering across technical and non-technical teams, including Product, Engineering, Technical Success, Sales, RevOps, Finance, and Data Engineering. - A track record of operating autonomously in fast-moving environments and raising the quality of how teams use data to make decisions. - Experience leading teams or serving as a technical lead for multi-person data science initiatives, including mentoring, roadmap-setting, and quality review. - Ability to hire, develop, and retain strong data science talent while creating a collaborative, high-accountability team culture. - An advanced degree in a quantitative field, or equivalent practical experience. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "summaryDescription" : "Applied Data Science & Insights Leader - GTM Intelligence Solutions and Technical Success at OpenAI. Skills: Applied Data Science, Insights, GTM Intelligence, Technical Success. Define roadmap. Lead roadmap", "createdAt" : "2026-06-14T09:38:50.355", "lastUpdated" : "2026-06-15T12:51:46.275", "ingestTimestamp" : "2026-06-14T09:38:50.355", "mongoId" : "6a2cb02174d8ee00a09d8f96", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 441000, "salaryAnnualMax" : 515000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Statistical methods", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Leadership", "Mentoring", "Applied Data Science", "Insights", "GTM Intelligence", "Technical Success", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Modelling skills", "Roadmap execution", "Customer intelligence", "Customer adoption", "Product telemetry", "Customer health", "Revenue", "Support tier", "Commercial context", "Field activity", "Customer lifecycle", "GTM strategy", "Customer segmentation", "Product usage", "Customer behavior", "Customer feedback", "B2B business", "Customer success", "Product gaps", "Repeatable playbooks", "Customer escalations", "Missed opportunities", "Customer risk", "Expansion potential", "Product adoption", "Customer lifecycle stage", "Intervention effectiveness", "Customer outcomes", "Customer happy paths", "Durable adoption", "Customer retention", "Sales workflows", "Finance workflows", "Product workflows", "Executive leadership", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "SageMaker", "Vertex AI", "ML Studio" ], "skillCount" : 63, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 715.3624, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "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" : 713.8992, "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" : 709.9808, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30511af292fd229cefa48d", "title" : "Senior Product Manager, Customer Insights", "industry" : "Product", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Manager in the Technology industry in Bulgaria, adjusted for seniority and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T14:16:35.966", "fingerprint" : "56e8fa47f44e1c7b8c9c002705dc5ea8b623e0e0632b525829b26b2b7fa2b4b0", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/9d2c7764-9446-41ad-b871-65cc97ea5795/apply", "externalId" : "9d2c7764-9446-41ad-b871-65cc97ea5795", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Natural language processing", "professionalSkills" : [ "Roadmap development", "Prioritization", "Data architecture", "Metrics design", "Analytical frameworks", "Stakeholder management", "Cross-functional collaboration", "Product strategy" ], "hardSkillsList" : [ "Data modeling", "Instrumentation strategies", "Metrics design", "Data pipelines", "Analytical frameworks", "API design" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Instrumentation strategies", "level" : "intermediate" }, { "name" : "Metrics design", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Analytical frameworks", "level" : "intermediate" }, { "name" : "API design", "level" : "intermediate" } ], "majorSkills" : "Customer Insights, Data Products, AI-powered insights", "majorSkillsList" : [ "Customer Insights", "Data Products", "AI-powered insights" ], "coreResponsibilities" : "Own Customer Insights product area, Define usage data architecture, Ensure data quality, Ensure data scalability, Align business metrics, Design reporting experiences, Enhance analytics experiences, Design dashboard experiences, Enhance audit logs experiences, Design API experiences, Drive AI-powered insights vision, Implement AI-powered insights, Collaborate with Sales teams, Collaborate with Customer Success teams, Translate insights into narratives, Engage with enterprise stakeholders, Understand stakeholder needs, Validate stakeholder priorities, Ensure solutions meet requirements, Partner with adjacent product teams, Create seamless experiences, Transform business questions, Develop user-centric solutions", "teamCollaboration" : "Cross-functional collaboration; Work with engineering teams; Work with data teams; Partner with adjacent product teams; Collaborate with Sales teams; Collaborate with Customer Success teams", "projectManagementSkills" : [ "Roadmap development", "Prioritization" ], "domainKnowledge" : "Customer retention; Customer growth; Value measurement; Enterprise administrators; AI-native user experiences; Intelligent analytics; Governance requirements; Compliance requirements; Operational requirements; Identity management; Security domains; Compliance domains; Enterprise analytics", "domainList" : [ "customer-retention", "customer-growth", "value-measurement", "enterprise-administrators", "ai-native-user-experiences", "intelligent-analytics", "governance-requirements", "compliance-requirements", "operational-requirements", "identity-management", "security-domains", "compliance-domains", "enterprise-analytics" ], "domainSpecificKnowledge" : [ "Customer retention", "Customer growth", "Value measurement", "Enterprise administrators", "AI-native user experiences", "Intelligent analytics", "Governance requirements", "Compliance requirements", "Operational requirements", "Identity management", "Security domains", "Compliance domains", "Enterprise analytics" ], "communicationSkills" : "Stakeholder management; Customer narratives", "innovationCreativity" : "AI-powered insights capabilities", "problemSolvingSkills" : "Transform complex business questions", "outcomesObjectives" : "Support customer renewals; Support expansion opportunities; Meet governance requirements; Meet compliance requirements; Meet operational requirements", "qualificationsBasic" : "4+ years product management experience, 2+ years building analytics/reporting/BI/data products, Expertise in data products, Experience with data modeling, Experience with instrumentation strategies, Experience with metrics design, Experience with data pipelines, Experience with analytical frameworks, Ability to work with engineering teams, Ability to work with data teams, Experience developing AI-enabled products, Proven success translating business needs, Experience partnering with customer-facing teams", "qualificationsPreferred" : "Experience building enterprise administration products, Experience building governance products, Experience building identity management products, Experience building security products, Experience building compliance products, Experience building audit-related products, Background in business intelligence platforms, Background in analytics solutions, Background in data-focused products, Experience designing customer-facing APIs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Own the Customer Insights product area end-to-end, including strategy, roadmap development, prioritization, and execution across data foundations and customer-facing experiences. Define and evolve the underlying usage data architecture, ensuring data quality, scalability, and alignment with business metrics that support customer retention, growth, and value measurement. Design and enhance reporting, analytics, dashboards, audit logs, and API experiences that deliver actionable insights to enterprise administrators, executives, and internal teams. Drive the vision and implementation of AI-powered insights capabilities, including natural language interactions, proactive analytics, and intelligent workflows. Collaborate closely with Sales and Customer Success teams to translate product insights into compelling customer narratives that support renewals and expansion opportunities. Engage directly with enterprise stakeholders to understand needs, validate priorities, and ensure solutions meet governance, compliance, and operational requirements. Partner with adjacent product teams to create seamless experiences across administration, identity management, security, and compliance domains. Transform complex and ambiguous business questions into scalable, user-centric product solutions. Requirements 4+ years of product management experience, including at least 2 years building analytics, reporting, business intelligence, or data-driven products for administrative or business users. Strong expertise in data products, including experience with data modeling, instrumentation strategies, metrics design, data pipelines, and analytical frameworks. Demonstrated ability to work effectively with engineering and data teams while balancing technical considerations such as aggregation, data freshness, granularity, and scalability. Experience developing or contributing to AI-enabled products, with a strong understanding of emerging trends in AI-native user experiences and intelligent analytics. Proven success translating complex business needs into intuitive and impactful product experiences. Experience partnering with customer-facing teams to support customer engagement, retention, and growth initiatives. Exceptional communication, stakeholder management, and cross-functional collaboration skills. Ability to thrive in fast-paced environments and navigate ambiguity with confidence. Preferred Qualifications Experience building enterprise administration, governance, identity management, security, compliance, or audit-related products. Background in business intelligence platforms, analytics solutions, or data-focused products. Experience designing customer-facing APIs for analytics, reporting, or data access use cases. Benefits Competitive base salary ranging from $160,000 to $215,000, depending on location, experience, and qualifications. Performance-based bonus opportunities. Comprehensive benefits package. Opportunity to shape the future of enterprise analytics and AI-driven insights. High-impact role with significant ownership and visibility across the organization. Collaborative and cross-functional work environment. Exposure to enterprise-scale products, customers, and strategic initiatives. Inclusive workplace committed to equal opportunity and reasonable accommodations for individuals with disabilities. ## 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 Product Manager, Customer Insights. Skills: Customer Insights, Data Products, AI-powered insights. Own Customer Insights product area. Define usage data architecture", "postedDate" : "2026-06-15T08:52:20.464", "createdAt" : "2026-06-15T08:52:20.464", "lastUpdated" : "2026-06-16T14:16:35.966", "ingestTimestamp" : "2026-06-16T03:25:24.529", "mongoId" : "6a30511af292fd229cefa48d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data modeling", "Instrumentation strategies", "Metrics design", "Data pipelines", "Analytical frameworks", "API design", "Customer Insights", "Data Products", "AI-powered insights", "Roadmap development", "Prioritization", "Data architecture", "Stakeholder management", "Cross-functional collaboration", "Product strategy", "Customer retention", "Customer growth", "Value measurement", "Enterprise administrators", "AI-native user experiences", "Intelligent analytics", "Governance requirements", "Compliance requirements", "Operational requirements", "Identity management", "Security domains", "Compliance domains", "Enterprise analytics" ], "skillCount" : 28, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 703.54, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "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" : 700.83954, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305815f292fd229cf40282", "title" : "Data Solutions Developer / Data Scientist II", "company" : "HDR", "industry" : "Government", "salary" : { "min" : 91707.0, "max" : 142920.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "timestamp" : "2026-06-16T07:31:53.798", "fingerprint" : "ce85e62bae6f21bbee9f8c423d5d14d1c65225ba7958399e756429d1fdc816d5", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=784956", "externalId" : "784956", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Alexandria", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8051095,-77.0470229" } ], "locationText" : "Alexandria, Virginia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Power Platform, Power Apps, Power Automate, Power BI, Microsoft Power Platform, SharePoint, Teams", "professionalSkills" : [ "Data analysis", "Feature engineering", "Process optimization", "UI/UX design", "System implementation", "Business intelligence" ], "hardSkillsList" : [ "Predictive modeling", "Data acquisition", "Data cleaning", "Data transformation", "Exploratory data analysis", "Model lifecycle management", "Model validation", "Model testing", "Workflow automation", "Root-cause analysis", "Quality assurance", "Quality control", "Unit testing" ], "softSkillsList" : [ "Analytical capability", "Discretion" ], "hardSkills" : [ { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "Data acquisition", "level" : "intermediate" }, { "name" : "Data cleaning", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Exploratory data analysis", "level" : "intermediate" }, { "name" : "Model lifecycle management", "level" : "intermediate" }, { "name" : "Model validation", "level" : "intermediate" }, { "name" : "Model testing", "level" : "intermediate" }, { "name" : "Workflow automation", "level" : "intermediate" }, { "name" : "Root-cause analysis", "level" : "intermediate" }, { "name" : "Quality assurance", "level" : "intermediate" }, { "name" : "Quality control", "level" : "intermediate" }, { "name" : "Unit testing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical capability" }, { "name" : "Discretion" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Business intelligence, Low-code development", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence", "Low-code development" ], "coreResponsibilities" : "Analyze complex datasets, Identify patterns and trends, Develop data products, Communicate business insights, Perform data acquisition, Perform data cleaning, Perform data transformation, Perform exploratory data analysis, Engineer features, Transform raw data, Build predictive models, Maintain predictive models, Manage model lifecycle, Tune models, Conduct model validation, Test models, Evaluate models, Apply predictive models, Build business applications, Automate workflows, Optimize business processes, Map workflows, Reengineer processes, Conduct root-cause analysis, Propose technology-driven remedies, Align automation strategies, Implement automation solutions, Develop technical documentation, Participate in unit testing, Participate in QA, Participate in QC, Support system implementation, Support software implementation, Support platform implementation, Align analytics capabilities, Align automation capabilities, Build dashboards, Build BI solutions, Track project health, Track KPIs, Track performance metrics, Use collaboration tools, Gather business requirements, Deliver customer experience", "teamCollaboration" : "Collaborate with stakeholders; Work with IT teams; Work with Infrastructure Technology; Work with Operational Technology teams; Engage with customers", "projectManagementSkills" : [ "SDLC artifacts" ], "domainKnowledge" : "Transportation systems; Mobility challenges", "domainList" : [ "transportation-systems", "mobility-challenges" ], "domainSpecificKnowledge" : [ "Transportation systems", "Mobility challenges" ], "toolProficiency" : [ "Microsoft Power Platform", "Power Apps", "Power Automate", "Power BI", "SharePoint", "Teams" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Technical documentation; SDLC artifacts; Workflow diagrams; User guides; Requirements specifications", "innovationCreativity" : "Novel ideas", "problemSolvingSkills" : "Root-cause analysis", "specialRequirements" : "On-site at client office", "outcomesObjectives" : "Improve business decisions; Enhance operational efficiency; Deliver insight-driven solutions; Support strategic goals; Improve operational efficiency; Align processes to goals; Support project objectives; Ensure solution reliability", "qualificationsBasic" : "5+ years experience, Bachelor's degree", "qualificationsPreferred" : "Transit experience, WMATA experience, Candidate located in the area", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe transportation is more than movement, it’s the foundation of connected, thriving communities. As part of HDR’s Transportation Business Group, you’ll help shape the systems that move people and goods safely, efficiently, and sustainably. From designing resilient highways and iconic bridges to advancing transit, passenger and freight rail, aviation, federal transportation ports and marine infrastructure, your work will directly support economic vitality, public safety, sustainable and resilient communities and quality of life. We bring together planners, engineers, architects, construction management staff, environmental, strategic communications, economists, management consultants and specialists across disciplines to solve complex mobility challenges with innovation, technical excellence, and a deep understanding of community needs. Whether you're modernizing aging infrastructure or pioneering next-generation transportation solutions, your contributions will help define the future of mobility. This isn’t just a job, it’s a chance to lead progress, drive meaningful impact, and leave a legacy of smarter, more connected transportation networks. We are all employee-owners at HDR, which is the foundation of our collaborative culture that connects employees around the world. In this role, you will leverage advanced data analytics and low-code development to modernize business processes, enhance operational efficiency, and deliver automated, insight-driven solutions. As a Data Solutions Developer, you will collaborate closely with stakeholders, translate complex requirements into technical solutions, design predictive models, and build applications and automations that support strategic organizational goals. This role requires strong analytical capability, technical expertise, and the ability to manage sensitive information with professionalism and discretion. Key Responsibilities : Data & Analytics Analyze complex datasets to identify patterns, trends, and opportunities that improve business decisions. Develop data products including reports, dashboards, and visualizations to communicate business insights and KPIs. Perform data acquisition, cleaning, transformation, and exploratory data analysis (EDA). Engineer features and transform raw data into structured attributes for machine learning models. Build and maintain advanced predictive models (classification, regression, time series, neural networks, NLP, computer vision). Manage the end-to-end model lifecycle: development, deployment, monitoring, drift detection, retraining, and inference. Tune models and conduct rigorous validation, testing, and quality evaluation. Apply predictive models to enhance operational and business outcomes. Automation, Low-Code Development & Process Optimization Leverage Microsoft Power Platform (Power Apps, Power Automate, Power BI, etc.) to build business applications, automate workflows, and improve operational efficiency. Optimize business processes by mapping current (“as-is”) and future (“to-be”) workflows and reengineering processes aligned to organizational goals. Conduct root-cause analysis to identify process inefficiencies and propose technology-driven remedies. Align automation strategies with project objectives and implement scalable automation solutions. Collaborate on UI/UX design considerations to ensure applications and dashboards are intuitive and user-friendly. Develop technical documentation, including SDLC artifacts, workflow diagrams, user guides, and requirements specifications. Participate in unit testing, Quality Assurance (QA), and Quality Control (QC) activities to ensure solution reliability. Systems, Technology & Collaboration Contribute to system, software, or platform implementation efforts by supporting development, testing, rollout, and user adoption. Work with IT, Infrastructure Technology, and Operational Technology teams to align analytics and automation capabilities with enterprise systems. Build dashboards and business intelligence solutions that track project health, KPIs, and performance metrics. Use collaboration tools (SharePoint, Teams, PowerApps) to support project communication, knowledge management, and version control. Engage with customers and stakeholders to gather business requirements and deliver a strong customer experience. Position is based on-site at a client office in Alexandria, VA. Preferred Qualifications: Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Information Technology, or a related field A minimum of 5 years experience strongly preferred Transit experience preferred WMATA experience preferred Preference given to candidates currently located in the area *LI-DNP We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) Washington, DC: %24100,044 - %24142,920. Fulton, MD: %2491,707-131,010", "summaryDescription" : "Data Solutions Developer / Data Scientist II at HDR. Skills: Data science, Data engineering, Machine learning, Business intelligence, Low-code development. Analyze complex datasets. 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AWS technical teams", "domainKnowledge" : "Cloud-native applications; AI-native tools; Full-stack development; Software development life-cycle; Third-party ecosystem; Partner solutions; SAP systems architecture; SAP infrastructure needs; SAP S/4HANA; SAP Cloud Platform; SAP Cloud ERP; Cloud ERP Private; SAP clean core design; Generative AI; Agentic AI; Data and analytics", "domainList" : [ "cloud-native-applications", "ai-native-tools", "full-stack-development", "software-development-life-cycle", "third-party-ecosystem", "partner-solutions", "sap-systems-architecture", "sap-infrastructure-needs", "sap-s-4hana", "sap-cloud-platform", "sap-cloud-erp", "cloud-erp-private", "sap-clean-core-design", "generative-ai", "agentic-ai", "data-and-analytics" ], "domainSpecificKnowledge" : [ "Cloud-native applications", "AI-native tools", "Full-stack development", "Software development life-cycle", "Third-party ecosystem", "Partner solutions", "SAP systems architecture", "SAP infrastructure needs", "SAP S/4HANA", "SAP Cloud Platform", "SAP Cloud ERP", "Cloud ERP Private", "SAP clean core design", "Generative AI", "Agentic AI", "Data and analytics" ], "communicationSkills" : "Speaking; Demos", "documentationSkills" : "Technical content creation; Reference applications; Starter kits; Practical guidance; Sample code; Blog posts; Tutorials", "continuousLearning" : "Ongoing learning experiences", "innovationCreativity" : "Innovate and transform; Challenge the impossible", "qualificationsBasic" : "8+ years technology domain experience, 3+ years applications/infrastructures experience, 10+ years IT development/consulting experience", "qualificationsPreferred" : "5+ years infrastructure architecture experience, 5+ years database architecture experience, 5+ years networking experience, Knowledge of SAP systems, Experience with SAP S/4HANA, Experience with SAP Cloud Platform, Experience with SAP Cloud ERP, Experience with Cloud ERP Private, Experience with SAP clean core design, Experience working with end user communities, Experience working with developer communities, Experience managing SAP customer relationships, Experience managing SAP partner relationships", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Developers and development teams are key influencers who steer organizational adoption of new methodologies, technologies, services and platforms. The mission of the Developer Transformation (DevTx) team is to help developers gain greater familiarity and confidence building modern, cloud-native applications that take full advantage of the latest AI-driven tools and AWS’s wide range of services. Through direct developer engagement, DevTx helps customers to address actual business problems and accelerated design, development and deployment of production quality cloud native application workloads. As a DevTx Solution Architect (SA), you will help customers to innovate and transform their software development practices, applying modern patterns, the latest architectural best practices using the latest AI-native tools for developing and operating full-stack, cloud-native workloads. You will collaborate with customers and peers, develop content and enable the wider community to harness the power of AWS Cloud. In this role, you will continuously sharpen and apply your expertise in programming languages, distributed systems, design patterns and the full software development life-cycle, to upskill developers and development teams on AWS cloud services, the third-party ecosystem and partner solutions. Key job responsibilities Key responsibilities include: • Be an active member of the AWS Solution Architecture team by engaging in on-to-one and one-to-many application architecture, development workshops and engagements with developers, software engineers, enterprise/solution architects and CTOs • Accelerating adoption of AWS in the student, startup and professional developer communities by engaging through conferences, startup events, meetups, user groups and hackathons • Help lead the direction for AWS developer events to make them best-in-class from a developer’s perspective, representing AWS through speaking, doing live demos and interacting with attendees • Creating technical content such as reference applications, starter kits and patterns and practical guidance that will get developers excited about the potential of AWS as a development platform • Contributing to a library of highly-reusable developer-focused artefacts such as demonstrations, sample code, blog posts, tutorials, and other modes of technical enablement • Providing end-user feedback to AWS Product Management and Engineering teams based on the developer ‘voice of the customer‘. Participate in technical and design discussions with AWS technical teams to help speed customer adoption and ensure best practices during implementation If you are keen to help AWS customers adopt the latest methods, practices and tools in software development, while challenging the impossible, come build the future with us. A day in the life Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. About the team AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Developer Transformation team interacts with developer communities and teams in leading companies to transform their developer practices helping them build innovative business solutions on top of AWS services. Basic Qualifications: - 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of design, implementation, or consulting in applications and infrastructures experience - 10+ years of IT development or implementation/consulting in the software or Internet industries experience Preferred Qualifications: - 5+ years of infrastructure architecture, database architecture and networking experience - Knowledge of SAP systems (like SAP Business Suite, S/4HANA, SAP Business Warehouse, SAP HANA, SAP Business Objects, etc.) and their architecture and infrastructure needs - Experience working with end user or developer communities - Experience managing relationships with SAP customers and partners - Experience in SAP S/4HANA, SAP Cloud Platform, SAP Cloud ERP and Cloud ERP Private - Experience in SAP clean core design concepts, including design and build using non-SAP technologies in domains such as Generative / Agentic AI, and data & analytics 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" : "Specialist Solution Architect, Developer Transformation at Amazon Web Services Korea LLC. Skills: Developer Transformation, Cloud-native applications, AI-driven tools, AWS services. Engage in application architecture workshops. Engage in development workshops", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T22:00:01.704", "lastUpdated" : "2026-06-16T08:47:15.352", "ingestTimestamp" : "2026-06-15T22:00:01.704", "mongoId" : "6a30564bf292fd229cf26fb1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448579/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Software development", "Cloud computing", "Systems engineering", "Infrastructure", "Security", "Networking", "Data analytics", "Developer Transformation", "Cloud-native applications", "AI-driven tools", "AWS services", "Application architecture", "Infrastructure architecture", "Database architecture", "AI-native tools", "Full-stack development", "Software development life-cycle", "Third-party ecosystem", "Partner solutions", "SAP systems architecture", "SAP infrastructure needs", "SAP S/4HANA", "SAP Cloud Platform", "SAP Cloud ERP", "Cloud ERP Private", "SAP clean core design", "Generative AI", "Agentic AI", "Data and analytics" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 679.67694, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "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" : 678.2262, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "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" : 670.6123, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Grocery" }, { "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" : 664.34424, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "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" : 663.99243, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "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. 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Implementation teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "ML data operations; Data annotation; ML workflows; GenAI data collections", "domainList" : [ "ml-data-operations", "data-annotation", "ml-workflows", "genai-data-collections" ], "domainSpecificKnowledge" : [ "ML data operations", "Data annotation", "ML workflows", "GenAI data collections" ], "communicationSkills" : "Customer communication; Technical consultation", "documentationSkills" : "Technical documentation; Technical guidelines", "outcomesObjectives" : "Deliver meaningful change for models; Maximize customer value", "qualificationsBasic" : "2+ years of experience in ML data operations, Understanding of data annotation/ML workflows, Outstanding customer communication and management skills, Technical consultation skills", "qualificationsPreferred" : "Bachelor's degree in Business, Computer Science, or related field, Working knowledge of JSON, Working knowledge of Command Line, Working knowledge of Python, Project management expertise, Technical account management experience, Background in customer success, Background in solution consulting", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Data Solutions Lead, you'll be the trusted advisor for our AGI-DS scientists, providing expert consultation on ML/Gen AI data collections and managing customer relationships. You'll drive business value through technical advisory and partnership building, creating and managing workstreams that delight our customers and deliver meaningful change for the models that back them. Key job responsibilities Drive and document effective ML/GenAI solutions for customer requests, transforming complex research objectives into clear, actionable data collection requirements Coordinate across teams to ensure seamless delivery and stakeholder alignment Own relationships with customer scientists, becoming their go-to partner for ML data solutions Provide consultation on ML workflow capabilities, helping customers maximize value Monitor and optimize collection health metrics to ensure customer success Drive customer adoption through providing technical value and the provision of an exemplary customer experience. You'll also: Guide customers on workflow feasibility and data collection best practices Collaborate with implementation teams to define and validate technical requirements Evaluate scalability of annotation scenarios and provide strategic recommendations Influence technical documentation and guidelines Basic Qualifications: - Demonstrated experience in effectively defining optimal data creation strategies and executing them - Associate's degree or equivalent work experience - 2+ years of experience in ML data operations, with a strong understanding of data annotation/ML workflows and concepts - Outstanding customer communication and management skills, especially in technical consultation - Ability to translate complex technical concepts into tactical applications Preferred Qualifications: - Bachelor's degree in Business, Computer Science, or related field - Working knowledge of JSON, Command Line, and Python - Project management expertise - Technical account management experience - Background in customer success or solution consulting 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 Solutions Lead, Data Collection Excellence at Amazon Support Services Costa Rica SRL. Skills: ML data solutions, Customer consultation, Data collection requirements. Drive and document ML/GenAI solutions. Transform research objectives into requirements", "postedDate" : "2026-06-13T02:59:19.198", "createdAt" : "2026-06-13T02:59:19.198", "lastUpdated" : "2026-06-15T01:37:15.165", "ingestTimestamp" : "2026-06-13T02:59:19.198", "mongoId" : "693c2b8a70f0b99d5843fccf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3139141/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data creation strategies", "ML data operations", "Data annotation", "ML workflows", "Leadership", "ML data solutions", "Customer consultation", "Data collection requirements", "Customer relationship management", "Technical advisory", "Partnership building", "ML workflow capabilities", "Annotation scenarios", "Project management", "GenAI data collections" ], "skillCount" : 15, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "_score" : 659.50555, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "693c2b8670f0b99d5843fac9", "title" : "Data Solutions Lead, Data Collection Excellence", "company" : "Amazon Support Services Costa Rica SRL", "industry" : "Project/Program/Product Management--Technical, Technical Account Management, Artificial Intelligence", "salary" : { "min" : 3.5E7, "max" : 5.5E7, "currency" : "CRC", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Data Solutions role in Heredia, Costa Rica, adjusted for the technology industry and Amazon's company size." }, "location" : "Heredia, Heredia, CRI", "locations" : [ "Heredia, Heredia, CRI" ], "timestamp" : "2026-06-15T02:24:43.038", "fingerprint" : "ac091050f22240d36d907ff5de523878826a50923e48c5243b11b20f0ea07ada", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3139800/apply", "externalId" : "c2c8fc54-4d31-436c-af90-278fc2e3a720", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Heredia", "state" : "Heredia", "country" : "Costa Rica", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "9.9984272,-84.1171215" } ], "locationText" : "Heredia, Heredia, Costa Rica", "employmentType" : "FULL_TIME", "minimumEducation" : "Associate's", "experienceMinYears" : 2, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python", "professionalSkills" : [ "ML data operations", "Customer relationship management", "Technical advisory", "Partnership building", "ML workflow capabilities", "Annotation scenarios" ], "hardSkillsList" : [ "Data creation strategies", "ML data operations", "Data annotation", "ML workflows" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data creation strategies", "level" : "intermediate" }, { "name" : "ML data operations", "level" : "intermediate" }, { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "ML workflows", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "ML data operations, Customer relationship management, Technical advisory", "majorSkillsList" : [ "ML data operations", "Customer relationship management", "Technical advisory" ], "coreResponsibilities" : "Drive and document ML/GenAI solutions, Transform research objectives into requirements, Coordinate across teams for delivery, Align stakeholders, Own relationships with customer scientists, Provide consultation on ML workflow capabilities, Monitor and optimize collection health metrics, Ensure customer success, Drive customer adoption, Provide technical value, Provide exemplary customer experience, Guide customers on workflow feasibility, Guide customers on data collection best practices, Collaborate with implementation teams, Define technical requirements, Validate technical requirements, Evaluate scalability of annotation scenarios, Provide strategic recommendations, Influence technical documentation, Influence technical guidelines", "teamCollaboration" : "Customer scientists; Implementation teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "ML data operations; Data annotation; ML workflows; GenAI data collections", "domainList" : [ "ml-data-operations", "data-annotation", "ml-workflows", "genai-data-collections" ], "domainSpecificKnowledge" : [ "ML data operations", "Data annotation", "ML workflows", "GenAI data collections" ], "communicationSkills" : "Customer communication; Technical consultation", "documentationSkills" : "Technical documentation; Technical guidelines", "outcomesObjectives" : "Deliver meaningful change for models; Maximize customer value", "qualificationsBasic" : "2+ years of experience in ML data operations, Understanding of data annotation/ML workflows, Outstanding customer communication and management skills, Technical consultation skills", "qualificationsPreferred" : "Bachelor's degree in Business, Computer Science, or related field, Working knowledge of JSON, Working knowledge of Command Line, Working knowledge of Python, Project management expertise, Technical account management experience, Background in customer success, Background in solution consulting", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Data Solutions Lead, you'll be the trusted advisor for our AGI-DS scientists, providing expert consultation on ML/Gen AI data collections and managing customer relationships. You'll drive business value through technical advisory and partnership building, creating and managing workstreams that delight our customers and deliver meaningful change for the models that back them. Key job responsibilities Drive and document effective ML/GenAI solutions for customer requests, transforming complex research objectives into clear, actionable data collection requirements Coordinate across teams to ensure seamless delivery and stakeholder alignment Own relationships with customer scientists, becoming their go-to partner for ML data solutions Provide consultation on ML workflow capabilities, helping customers maximize value Monitor and optimize collection health metrics to ensure customer success Drive customer adoption through providing technical value and the provision of an exemplary customer experience. You'll also: Guide customers on workflow feasibility and data collection best practices Collaborate with implementation teams to define and validate technical requirements Evaluate scalability of annotation scenarios and provide strategic recommendations Influence technical documentation and guidelines Basic Qualifications: - Demonstrated experience in effectively defining optimal data creation strategies and executing them - Associate's degree or equivalent work experience - 2+ years of experience in ML data operations, with a strong understanding of data annotation/ML workflows and concepts - Outstanding customer communication and management skills, especially in technical consultation - Ability to translate complex technical concepts into tactical applications Preferred Qualifications: - Bachelor's degree in Business, Computer Science, or related field - Working knowledge of JSON, Command Line, and Python - Project management expertise - Technical account management experience - Background in customer success or solution consulting 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 Solutions Lead, Data Collection Excellence at Amazon Support Services Costa Rica SRL. Skills: ML data operations, Customer relationship management, Technical advisory. Drive and document ML/GenAI solutions. Transform research objectives into requirements", "postedDate" : "2026-06-13T04:25:30.067", "createdAt" : "2026-06-13T04:25:30.067", "lastUpdated" : "2026-06-15T02:24:43.038", "ingestTimestamp" : "2026-06-13T04:25:30.067", "mongoId" : "693c2b8670f0b99d5843fac9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3139800/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data creation strategies", "ML data operations", "Data annotation", "ML workflows", "Leadership", "Customer relationship management", "Technical advisory", "Partnership building", "ML workflow capabilities", "Annotation scenarios", "Project management", "GenAI data collections" ], "skillCount" : 12, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "_score" : 658.2873, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a305093f292fd229cef248e", "title" : "Head of Vio Data Solutions", "company" : "Vio", "industry" : "Partnerships & Business Development", "salary" : { "min" : 150000.0, "max" : 220000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director-level executive in the Travel industry in the Netherlands, adjusted for remote work and company size." }, "location" : "Netherlands - Employee", "locations" : [ "Netherlands - Employee", "Remote", "Amsterdam / Remote" ], "timestamp" : "2026-06-16T11:10:38.702", "fingerprint" : "1be5905ebbbea8fe7cfa6befca199814110d3a5dc5ad5dd697c1b4b8b6e2c6f4", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/vio/ba55b5f5-cae9-4df7-acae-d5b9e11ab124/application", "externalId" : "ba55b5f5-cae9-4df7-acae-d5b9e11ab124", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Netherlands", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Netherlands", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "professionalSkills" : [ "Productization", "Pricing", "Sales", "Team-building", "Commercialisation models", "Sales pipeline management" ], "hardSkillsList" : [ "Data product sales", "Deal negotiation", "Post-sales relationships" ], "softSkillsList" : [ "Entrepreneurial" ], "hardSkills" : [ { "name" : "Data product sales", "level" : "intermediate" }, { "name" : "Deal negotiation", "level" : "intermediate" }, { "name" : "Post-sales relationships", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Entrepreneurial" } ], "majorSkills" : "Data product lifecycle, Sales, Team leadership", "majorSkillsList" : [ "Data product lifecycle", "Sales", "Team leadership" ], "coreResponsibilities" : "Identify data products, Identify customer segments, Design pricing models, Design commercialisation models, Build sales pipeline, Close first deals, Hire team, Develop team", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Accommodation industry; Travel industry; Data products; Revenue management; OTAs", "domainList" : [ "accommodation-industry", "travel-industry", "data-products", "revenue-management", "otas" ], "domainSpecificKnowledge" : [ "Accommodation industry", "Travel industry", "Data products", "Revenue management", "OTAs" ], "continuousLearning" : "Knowledge sharing", "specialRequirements" : "Based in Europe, Preferably in Amsterdam", "qualificationsBasic" : "Experience designing data products, Experience delivering data products, Proven track record in sales, Leadership experience", "qualificationsPreferred" : "Travel industry veteran, Deep experience in revenue management, Deep experience in data products, Deep experience in accommodation OTAs, Entrepreneur with track record, Self-directed leader", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "At Vio https://www.vio.com/, we believe booking accommodation should feel fair and effortless, never overwhelming or unclear. As one of the world’s most innovative travel tech platforms, we help millions of users make smarter travel decisions by comparing stays across 100+ booking sites so that they can find the best place, at the best price, anywhere in the world. Central to everything we do is data. We capture vast amounts of it, and we use it to power every product decision and customer interaction we make. Having built a robust, scalable infrastructure to store and surface this data, we're now ready to take the next step: offering it to other industry stakeholders who can use it to improve the market and unlock new efficiencies. Who we're looking for We're looking for an entrepreneurial business leader to own and drive this new initiative from the ground up. This isn't a role for someone who needs a playbook — it's for someone who writes them. You'll lead the entire data product lifecycle: from productisation and pricing through to sales and team-building. You'll be the first mover on a genuinely differentiated opportunity, backed by exceptional data infrastructure and industry-unique datasets. You have : - Experience designing and delivering data products at scale in the accommodation or travel industry - A proven track record in sales — including prospecting, negotiating, closing deals, and managing post-sales relationships - Leadership experience to grow the initial momentum into a scalable, standalone business unit What you'll do - Identify the data products we can build and the customer segments best positioned to benefit from them - Design pricing and commercialisation models that create genuine value for buyers and for Vio - Build the sales pipeline from scratch — and close the first deals yourself - Hire and develop a team to scale the business once traction is established Who you are - A travel industry veteran with deep experience in revenue management, data products, or accommodation OTAs - An entrepreneur at heart — someone with a track record of taking businesses from zero to one, or a self-directed leader who creates momentum without needing organisational scaffolding - Comfortable with ambiguity and energised by the challenge of building something new Why join us now? - Vio is an exceptional innovator in the accommodation booking space, using modern technology and a customer centric approach to innovate in ways few can. Bringing our data to new customers in the industry would often change how they run their operations, significantly increasing their competitiveness and its an honour to be a driver of such change - In 2026, we underwent a company-wide rebrand and launched our first StoryTelling marketing campaign in the UK. This was the next step in our commitment to help travelers book like insiders, and to establish Vio as a consumer-facing, creative brand. - The mobile applications (iOS https://apps.apple.com/us/app/vio-com-book-hotel-deals/id1639101398 and Android https://play.google.com/store/apps/details?id=com.vio.mobileapp&hl=en_US&gl=US) we launched in 2023 have been a big success, reaching 5 million installs and earning strong customer reviews. - We’re a passionate and diverse team of tech enthusiasts and creatives, with a commitment to the traveler above all else. - We reward our employees for the value they create by granting Stock Appreciation Rights https://medium.com/viodotcom/why-findhotel-offers-share-appreciation-rights-sar-1b688867d8c4 to all employees. What we offer - Plenty of chances to learn and grow within an open, diverse culture that promotes knowledge sharing, trust, and transparency. - A great compensation package, perks, and benefits – including significant stock appreciation rights. - Flexible time off, with as many holidays as you need, and a chance to work remotely. - You’ll be part of an international team https://medium.com/viodotcom/2021-our-people-in-numbers-b72145c3fa9b in one of the best office locations in Amsterdam - We value good food and offer catered lunches from various cuisines, great coffee, and the occasional barbecue in our garden. - We enjoy getting together to celebrate our wins, with company events in Amsterdam and abroad. - A budget for your home office - Access to free mental health support via OpenUp https://openup.com/ We encourage people from all ethnic groups, genders, sexualities, ages, and abilities to apply. If this job description resonates with you, we’d love to hear from you. Please note: Although this role can be remote, we are only considering candidates based in Europe, preferably in Amsterdam. Blog posts worth reading - Our Core Values and What they Mean to our People https://medium.com/viotdotcom/our-core-values-and-what-they-mean-to-our-people-2880e69413c1 - Re-Imagining Metasearch for Traveling https://medium.com/@viodotcom1/vio-com-reimagining-metasearch-for-travelers-aa41548eebee - The Hiring Process at Vio https://medium.com/viodotcom/the-hiring-process-at-vio-c658b3bf4be2 - Our Rebrand https://www.vio.com/blog/the-journey-behind-vios-new-brand - What we celebrate at Vio https://medium.com/viodotcom/what-we-celebrate-at-findhotel-53cb261b7d9d Follow us on Instagram https://www.instagram.com/lifeatviodotcom/ and TikTok https://www.tiktok.com/@vio.com.travel to see what life at Vio looks like.", "summaryDescription" : "Head of Vio Data Solutions at Vio. Skills: Data product lifecycle, Sales, Team leadership. Identify data products. Identify customer segments", "createdAt" : "2026-06-16T00:26:06.696", "lastUpdated" : "2026-06-16T11:10:38.702", "ingestTimestamp" : "2026-06-16T00:26:06.696", "mongoId" : "6a305093f292fd229cef248e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data product sales", "Deal negotiation", "Post-sales relationships", "Entrepreneurial", "Data product lifecycle", "Sales", "Team leadership", "Productization", "Pricing", "Team-building", "Commercialisation models", "Sales pipeline management", "Accommodation industry", "Travel industry", "Data products", "Revenue management", "OTAs" ], "skillCount" : 17, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 658.1936, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Travel", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e42bf8b1b0376634c6c9", "title" : "Insights and Measurement Lead", "company" : "Amazon Servicos de Varejo do Brasil Ltda.", "industry" : "Sales, Advertising, Account Management, Professional Services", "salary" : { "min" : 250000.0, "max" : 400000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Insights and Measurement role in Sao Paulo, Brazil, adjusted for the technology industry and onsite work mode." }, "location" : "Sao Paulo, Sao Paulo, BRA", "locations" : [ "Sao Paulo, Sao Paulo, BRA" ], "timestamp" : "2026-06-15T01:15:38.899", "fingerprint" : "da5b7a7ec744849f3a4f158d6390d5984821f202208cdecf30185b6f2cd4ac0d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3076330/apply", "externalId" : "db54b73f-d169-45fd-b915-2bd16cbb9174", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sao Paulo", "state" : "Sao Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "Sao Paulo, Sao Paulo, Brazil", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python, R, SAS, SQL", "professionalSkills" : [ "Data analysis", "Client relationships", "Sales", "Account management", "Retail", "Business partners", "Measurement solutions", "Advertising solutions", "Digital advertising", "Return on investment" ], "hardSkillsList" : [ "Data analysis", "Metric creation", "Statistical techniques", "Regression analysis", "Segmentation", "Machine learning", "Marketing mix modeling", "Attribution frameworks", "Advertising measurement" ], "softSkillsList" : [ "Consultative approach", "Navigate ambiguity", "Solve complex problems", "Thought leadership" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Metric creation", "level" : "intermediate" }, { "name" : "Statistical techniques", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Segmentation", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Marketing mix modeling", "level" : "intermediate" }, { "name" : "Attribution frameworks", "level" : "intermediate" }, { "name" : "Advertising measurement", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Consultative approach" }, { "name" : "Navigate ambiguity" }, { "name" : "Solve complex problems" }, { "name" : "Thought leadership" } ], "majorSkills" : "Insights generation, Measurement strategy, Client relationships", "majorSkillsList" : [ "Insights generation", "Measurement strategy", "Client relationships" ], "coreResponsibilities" : "Leverage data for insights, Generate actionable insights, Own measurement relationships, Partner on learning objectives, Influence business decisions, Present findings consultatively, Collaborate on solutions, Translate concepts to recommendations, Influence sales initiatives, Influence marketing initiatives, Educate stakeholders, Advocate for data-driven decisions, Drive thought leadership, Encourage advertisers to act", "teamCollaboration" : "Internal teams; Cross-functional; Multiple business functions; Multiple geographies; Sales organization; Account management; Retail; Amazon business partners", "domainKnowledge" : "Digital media; AdTech; Advertising; Digital advertising; Advertising measurement; Marketing mix modeling; Attribution frameworks; Statistical techniques; Machine learning", "domainList" : [ "digital-media", "adtech", "advertising", "digital-advertising", "advertising-measurement", "marketing-mix-modeling", "attribution-frameworks", "statistical-techniques", "machine-learning" ], "domainSpecificKnowledge" : [ "Digital media", "AdTech", "Advertising", "Digital advertising", "Advertising measurement", "Marketing mix modeling", "Attribution frameworks", "Statistical techniques", "Machine learning" ], "toolProficiency" : [ "SQL", "Python", "R", "SAS" ], "communicationSkills" : "Presentation skills; Storytelling; Executive presentations", "problemSolvingSkills" : "Solve complex problems; Translate analytical concepts", "outcomesObjectives" : "Deliver best return on investment", "qualificationsBasic" : "Bachelor's degree, 7+ years client-facing data analysis, 5+ years digital media/AdTech, Translate technical analyses, Data-driven storytelling, Presentation skills, Advertising measurement methodologies, Marketing mix modeling, Attribution frameworks, Advanced statistical techniques, Regression analysis, Segmentation, Machine learning, Proficiency in SQL, Analytical tools fluency", "qualificationsPreferred" : "Advanced degree (MBA, Master's), Digital media planning experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Ads operates at the intersection of e-commerce and advertising, offering a rich array of advertising solutions. We partner with advertisers to reach Amazon customers across our owned and operated sites like Prime Video and Twitch, and on other high-quality sites across the web, and on devices. We are currently looking for a highly skilled and motivated Insights and Measurement Lead to help scale our growing advertising business. The Insights and Measurement Lead is a key member of the sales organization at Amazon Ads, taking a consultative approach, building deep relationships with advertisers, sales, account management, retail, and other Amazon business partners to analyze and measure the success of advertisers' performance on Amazon. Key job responsibilities • Leverage Amazon's proprietary data, third-party research, and Ad measurement solutions to generate actionable insights for C-suite marketing leaders. • Own senior-level measurement and insights customer relationships and partner across strategic learning objectives that influence business decision-making • Present findings consultatively, collaborating with internal teams to deliver comprehensive solutions. • Navigate ambiguity, solve complex problems, and translate analytical concepts into actionable recommendations. • Collaborate cross-functionally to influence sales and marketing initiatives across multiple business functions and geographies. • Educate stakeholders on Amazon's insights and measurement offerings through learning sessions, documentation, and whitepapers. • Advocate for data-driven decision-making, driving thought leadership and encouraging advertisers to act on recommendations. A day in the life On a daily basis, Insights and Measurement Lead activities include analyzing and measuring metrics of success for an advertiser business or category, developing data-driven insights and recommendations for executive client leadership, and communicating recommendations in a clear and compelling fashion. The strategic and consultative digital advertising expertise of the Insights and Measurement Lead is critical to delivering the best return on investment for our customers. About the team The Analytics & Insights (A&I) organization leverages Amazon's data to develop actionable insights for advertisers. By providing insights and measurement solutions, A&I enhances marketers' decision-making processes, measurably improving their success on and off Amazon. Basic Qualifications: - Bachelor's degree with 7+ years of experience in client-facing data analysis roles, including 5+ years in digital media/AdTech consulting or advertising with a top agency or brand. - Expertise in translating technical analyses into actionable insights for diverse stakeholders, with excellent data-driven storytelling and presentation skills. - Demonstrated proficiency in advertising measurement methodologies, marketing mix modeling, and attribution frameworks. - Strong understanding of advanced statistical techniques, including regression analysis, segmentation and machine learning. - Proficiency in SQL for complex data manipulation and metric creation, along with fluency in analytical tools (Python, R, SAS, etc.). - Please apply with resume in English Preferred Qualifications: - Advanced degree (MBA, Master's) in Economics, Marketing, Statistics, Advertising, or Business; or equivalent Digital media planning experience. - Experience with advertising publishers, marketing/creative agencies, and campaign management. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Insights and Measurement Lead at Amazon Servicos de Varejo do Brasil Ltda.. Skills: Insights generation, Measurement strategy, Client relationships. Leverage data for insights. Generate actionable insights", "postedDate" : "2026-06-13T07:15:18.470", "createdAt" : "2026-06-13T07:15:18.470", "lastUpdated" : "2026-06-15T01:15:38.899", "ingestTimestamp" : "2026-06-13T07:15:18.470", "mongoId" : "68c2e42bf8b1b0376634c6c9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3076330/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Metric creation", "Statistical techniques", "Regression analysis", "Segmentation", "Machine learning", "Marketing mix modeling", "Attribution frameworks", "Advertising measurement", "Consultative approach", "Navigate ambiguity", "Solve complex problems", "Thought leadership", "Insights generation", "Measurement strategy", "Client relationships", "Sales", "Account management", "Retail", "Business partners", "Measurement solutions", "Advertising solutions", "Digital advertising", "Return on investment", "Digital media", "AdTech", "Advertising", "SQL", "Python", "R", "SAS" ], "skillCount" : 31, "jobCategory" : "marketing", "dataQualityScore" : 1.0, "_score" : 657.215, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "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" : 654.7835, "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" : 649.6632, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "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" : 639.4008, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Marketing", "llmIndustryConfidence" : 0.92 }, { "id" : "6a305119f292fd229cef9cda", "title" : "Manager, Market Insights", "industry" : "Analyst", "salary" : { "min" : 116000.0, "max" : 151000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T13:45:38.605", "fingerprint" : "d66f1971169ac564a69c18fbdb30288bf744ae50764e73f4ee6cd93e74d98a62", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/fc6ba82f-ae7e-4f6c-b23e-cceb9f318a4e/apply", "externalId" : "fc6ba82f-ae7e-4f6c-b23e-cceb9f318a4e", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceLevel" : "Manager", "technicalSkills" : "Excel, PowerPoint, Word", "professionalSkills" : [ "Market research", "Commercial analytics", "Competitive intelligence", "Qualitative research", "Quantitative research", "Data synthesis", "Business decision-making", "Strategic recommendations", "Resource management" ], "hardSkillsList" : [ "Message testing", "Customer journey analysis", "Brand performance tracking", "Vendor selection", "Timeline management", "Budget management", "Trend identification" ], "hardSkills" : [ { "name" : "Message testing", "level" : "intermediate" }, { "name" : "Customer journey analysis", "level" : "intermediate" }, { "name" : "Brand performance tracking", "level" : "intermediate" }, { "name" : "Vendor selection", "level" : "intermediate" }, { "name" : "Timeline management", "level" : "intermediate" }, { "name" : "Budget management", "level" : "intermediate" }, { "name" : "Trend identification", "level" : "intermediate" } ], "majorSkills" : "Market research, Data analysis, Insight generation", "majorSkillsList" : [ "Market research", "Data analysis", "Insight generation" ], "coreResponsibilities" : "Design primary market research initiatives, Lead primary market research initiatives, Manage end-to-end research projects, Select vendors, Oversee execution, Manage timelines, Manage budgets, Communicate progress to leadership, Leverage secondary data sources, Identify market trends, Support business decision-making, Integrate primary research findings, Generate actionable insights, Generate strategic recommendations, Collaborate with cross-functional stakeholders, Define research priorities, Address ad hoc analytical needs, Evaluate new research methodologies, Introduce new research methodologies, Enhance insight generation, Enhance analytical capabilities, Contribute to annual planning, Contribute to budget allocation, Ensure effective resource management", "teamCollaboration" : "Cross-functional stakeholders; Marketing; Sales; Market Access; Insights teams", "projectManagementSkills" : [ "Vendor management", "Timeline management", "Budget management" ], "domainKnowledge" : "Biopharmaceutical environments; Biotechnology environments; Healthcare data sources; Claims data; Promotional data; Prescription data", "domainList" : [ "biopharmaceutical-environments", "biotechnology-environments", "healthcare-data-sources", "claims-data", "promotional-data", "prescription-data" ], "domainSpecificKnowledge" : [ "Biopharmaceutical environments", "Biotechnology environments", "Healthcare data sources", "Claims data", "Promotional data", "Prescription data" ], "toolProficiency" : [ "Excel", "PowerPoint", "Word" ], "communicationSkills" : "Storytelling; Presentations", "continuousLearning" : "Introduce new research methodologies; Introduce new tools; Introduce new approaches", "problemSolvingSkills" : "Analytical skills; Problem-solving skills; Data synthesis", "specialRequirements" : "Travel up to 20% domestically", "outcomesObjectives" : "Generate actionable insights; Generate strategic recommendations", "qualificationsBasic" : "Bachelor’s degree in Marketing, Business, Life Sciences, Market Research, or related equivalent experience, 6+ years of experience in market research, commercial analytics, or competitive intelligence within biopharmaceutical or biotechnology environments, Expertise in qualitative and quantitative research methodologies, Experience working with secondary healthcare data sources, Analytical and problem-solving skills, Excellent communication and storytelling skills, Proven ability to manage multiple projects, vendors, timelines, and budgets, Advanced proficiency in Excel, PowerPoint, and Word, Collaboration and stakeholder management skills", "qualificationsPreferred" : "Best practices for generating actionable insights, Ability to synthesize multiple data streams into clear business recommendations, Ability to translate complex findings into clear presentations for senior stakeholders, Attention to detail and organizational skills, Ability to influence across cross-functional teams", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design and lead primary market research initiatives such as message testing, customer journey analysis, brand performance tracking, and sales force effectiveness studies, ensuring appropriate methodologies are applied to key business questions. Manage end-to-end research projects including vendor selection, execution oversight, timeline and budget management, and regular communication of progress to leadership. Leverage secondary data sources such as claims, promotional data, and internal prescription data to identify market trends and support business decision-making. Integrate primary research findings with secondary data and competitive intelligence to generate actionable insights and strategic recommendations. Collaborate with cross-functional stakeholders across Marketing, Sales, Market Access, and Insights teams to define research priorities and address ad hoc analytical needs. Continuously evaluate and introduce new research methodologies, tools, and approaches to enhance insight generation and analytical capabilities. Contribute to annual planning and budget allocation for insights initiatives, ensuring effective resource management. Requirements: Bachelor’s degree in Marketing, Business, Life Sciences, Market Research, or related field; equivalent experience may be considered. 6+ years of experience in market research, commercial analytics, or competitive intelligence within biopharmaceutical or biotechnology environments. Strong expertise in qualitative and quantitative research methodologies and best practices for generating actionable insights. Experience working with secondary healthcare data sources, including claims, promotional, and prescription data. Strong analytical and problem-solving skills with the ability to synthesize multiple data streams into clear business recommendations. Excellent communication and storytelling skills, with the ability to translate complex findings into clear presentations for senior stakeholders. Proven ability to manage multiple projects, vendors, timelines, and budgets in a fast-paced environment. Advanced proficiency in Excel, PowerPoint, and Word, with strong attention to detail and organizational skills. Strong collaboration and stakeholder management skills, with the ability to influence across cross-functional teams. Ability to travel up to 20% domestically for meetings and company events. Benefits: Competitive base salary range of $116,000 – $151,000, plus short-term incentives and long-term equity compensation opportunities. Comprehensive health coverage including medical, dental, vision, disability, and life insurance for employees and eligible dependents. Retirement savings plan with employer match. Generous paid time off, holidays, and work-life balance programs. Access to wellness programs and employee assistance resources. Opportunity to work in a mission-driven environment focused on rare disease innovation and patient impact. Exposure to high-impact strategic projects with strong cross-functional visibility and leadership engagement. ## 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" : "Manager, Market Insights. Skills: Market research, Data analysis, Insight generation. Design primary market research initiatives. Lead primary market research initiatives", "postedDate" : "2026-06-15T10:10:06.604", "createdAt" : "2026-06-15T10:10:06.604", "lastUpdated" : "2026-06-16T13:45:38.605", "ingestTimestamp" : "2026-06-16T03:23:38.625", "mongoId" : "6a305119f292fd229cef9cda", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 116000, "salaryAnnualMax" : 151000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Message testing", "Customer journey analysis", "Brand performance tracking", "Vendor selection", "Timeline management", "Budget management", "Trend identification", "Market research", "Data analysis", "Insight generation", "Commercial analytics", "Competitive intelligence", "Qualitative research", "Quantitative research", "Data synthesis", "Business decision-making", "Strategic recommendations", "Resource management", "Vendor management", "Biopharmaceutical environments", "Biotechnology environments", "Healthcare data sources", "Claims data", "Promotional data", "Prescription data", "Excel", "PowerPoint", "Word" ], "skillCount" : 28, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 638.43634, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.97 }, { "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" : 635.30585, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Marketing", "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" : 633.7599, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Non-Profit", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c771674d8ee00a093bb0d", "title" : "Account Executive, Data Solutions", "company" : "G2", "industry" : "Revenue", "salary" : { "min" : 145000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Remote (US)", "locations" : [ "Remote (US)" ], "timestamp" : "2026-06-16T01:54:34.639", "fingerprint" : "aebed6e81455393427149f3ace512abeb181e989f0a340285cbef6a62de59221", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/g2/bf16de14-a816-4c4b-a9f9-5c649d5abd03/application", "externalId" : "bf16de14-a816-4c4b-a9f9-5c649d5abd03", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Drive revenue growth, Manage sales pipeline, Close new business, Build client relationships, Achieve sales targets, Develop sales strategies, Present solutions to prospects, Negotiate contracts", "teamCollaboration" : "Sales and marketing teams; Customer success teams; Product teams", "domainKnowledge" : "Data solutions; SaaS sales", "domainList" : [ "data-solutions", "saas-sales" ], "domainSpecificKnowledge" : [ "Data solutions", "SaaS sales" ], "communicationSkills" : "Prospect presentations; Contract negotiation", "outcomesObjectives" : "Exceed quarterly revenue goals; Expand customer base; Increase market share", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About G2 - The Company G2 is the world's largest and most trusted software marketplace. When you join G2, you’re joining the industry’s leading team that helps businesses reach their peak potential by powering decisions and strategies with trusted insights from real software users. Now, we have joined forces with Capterra https://www.capterra.com/, SoftwareAdvice https://www.softwareadvice.com/, and GetApp https://www.getapp.com/ to create the largest source of online data and software insights to fuel intelligent buying in the age of AI. With 200M+ combined annual visitors and 6M verified reviews, we are now the centralized place to enable software buyers to make better and faster decisions with confidence. And we are just getting started! We are setting out to transform the global B2B software industry and become the most trusted data foundation for buyers and sellers of software for the age of AI. Does that sound exciting to you? Come join us as we try to reach our next PEAK! About G2 - Our People At G2, everything we are and what we do is grounded in our PEAK values— (Performance + Entrepreneurship + Authenticity + Kindness. Working at G2 means you are part of a value-driven, growing global community that climbs PEAKs together. We cheer for each other’s successes, learn from our mistakes, and support and lean on one another during challenging times. With ambition and entrepreneurial spirit we push each other to take on challenging work, which will help us all to grow and learn. You will be part of a global, diverse team of smart, dedicated, and kind individuals - each with unique talents, aspirations, and life experiences. At the heart of our community and culture are our people-led ERGs, which celebrate and highlight the diverse identities of our global team. As an organization, we are intentional about our DEI https://company.g2.com/dei and philanthropic work (like our G2 Gives https://company.g2.com/gives program) because it encourages us all to be better people. ABOUT THE ROLE The Data Solutions team is a start up within G2 that was created in 2022 to sell one of our most strategic and complex solutions. Traditionally, we've sold our Data Solutions product into Investors (Private Equity, Venture Capitalists, Hedge Funds, Investment Banks, etc.), but we have recently started to have success with selling to Software Vendors (SaaS Partners) as well. As one of the founding Account Executives, you will help us to build and grow our go-to-market motion to these customers. We are seeking an Account Executive to join the team and help us continue to expand this area of our business. In this high-impact, quota-carrying role, you will be able to close large complex deals with these customers. As this is a growing team, someone who is excited about doing their own pipeline building and outreach will thrive. This is a perfect opportunity for someone who has previous experience building out a new sales team! We are looking for someone with this experience to bring in new ideas as we continue to scale. IN THIS ROLE, YOU WILL: - Own the full sales cycle from prospecting to close - Develop and execute strategic territory and account plans to drive new logo acquisition across a targeted book of investors and software vendors - Build CxO and Operating Partner-level relationships, becoming a trusted advisor to key decision-makers in Research, Business Development, Product, and Procurement - Translate complex customer challenges into actionable, data-driven solutions using G2’s proprietary insights - Shape deal strategy, pricing, and commercial models to meet revenue goals and customer needs - Collaborate closely with Partnerships, cross LOB account teams, Product, Account Managers and Solution Consulting to deliver a seamless buyer experience and accelerate time-to-value - Accurately forecast pipeline, opportunity stages, and closed-won revenue using Salesforce and other sales analytics tools - Contribute feedback to G2 product and GTM teams to inform roadmap and positioning based on customer feedback MINIMUM QUALIFICATIONS: We realize applying for jobs can feel daunting at times. Even if you don’t check all the boxes in the job description, we encourage you to apply anyway. - 2+ years of quota-carrying experience selling Data, SaaS, or Enterprise Consulting services - Experience in or excitement for building out a new team - Proven track record of closing 6-and 7-figure deals with strategic decision-makers - Deep familiarity with the needs and buying behaviors of private equity firms, venture capital, analyst firms, and/or B2B software - Comfortable navigating C-suite conversations, particularly with Operating Partners and GTM leaders - Strong consultative selling skills and a data-driven mindset - Self-starter with a strong sense of ownership and accountability - Exceptional written and verbal communication WHAT CAN HELP YOUR APPLICATION STAND OUT: - Background in investment research, management consulting, and/or experience with enterprise data platforms - Familiarity with market and competitive intelligence platforms, sales/marketing data tools, or alternative data Our Commitment to Inclusivity and Diversity At G2, we are committed to creating an inclusive and diverse environment where people of every background can thrive and feel welcome. We consider applicants without regard to race, color, creed, religion, national origin, genetic information, gender identity or expression, sexual orientation, pregnancy, age, or marital, veteran, or physical or mental disability status. Learn more about our commitments here https://culture.g2.com/commitments. -- For job applicants in California, the United Kingdom, and the European Union, please review this applicant privacy notice https://legal.g2.com/applicant-privacy-notice before applying to this job. How We Use AI Technology in Our Hiring Process G2 incorporates AI-powered technology to enhance our candidate evaluation process. These tools may assist with initial application screening, skills assessment analysis, and identifying candidates whose qualifications align with specific role requirements. While AI technology supports our recruitment workflow, all final hiring decisions remain under human oversight and judgment. Your Choice Matters: If you would prefer that your application be reviewed without AI assistance, you can opt out by entering your email address in the email entry field at the bottom of the Automated Processing Legal Notice. Choosing to opt out will not disadvantage your application in any way—we will ensure your materials receive a thorough manual review by our hiring team. For additional details about how we handle your information throughout the application process, please review G2's Applicant Privacy Notice https://legal.g2.com/applicant-privacy-notice.", "summaryDescription" : "Account Executive, Data Solutions at G2. Drive revenue growth. Manage sales pipeline", "createdAt" : "2026-06-14T20:11:39.729", "lastUpdated" : "2026-06-16T01:54:34.639", "ingestTimestamp" : "2026-06-14T20:11:39.729", "mongoId" : "6a2c771674d8ee00a093bb0d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data solutions", "SaaS sales" ], "skillCount" : 2, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 632.9522, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a309434f292fd229c0c84f8", "title" : "Senior Director - Client Data Solutions", "company" : "Cielo", "industry" : "Staffing And Recruiting", "salary" : { "min" : 220000.0, "max" : 330000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Senior Director in the Technology industry in the United States, adjusted for seniority and company size." }, "location" : "Wauwatosa, WI, United States", "locations" : [ "Wauwatosa", "WI", "United States" ], "timestamp" : "2026-06-16T15:04:26.865", "fingerprint" : "37957ecb75add7a753051578d8224bd6cc464df90ba78078dd58f3506ec2221a", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Cielo2/744000132291028-senior-director-client-data-solutions-", "externalId" : "744000132291028", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 15, "experienceLevel" : "director", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Are you ready to accelerate your career? Join Cielo as a Senior Director - Client Data Solutions! A career at Cielo will give you the opportunity to work with the industry’s smartest people and to take ownership of your success! Cielo is a brand that reflects our big idea – that talent is rising – and with it our opportunity to rise above. We create careers for ambitious people by moving beyond traditional assumptions of what it means to work in talent acquisition. Cielo is the world's leading Talent Acquisition Partner. We deliver a better talent experience for everyone through Talent Acquisition, Search, Consulting, and Digital Accelerators™. With our fresh approach – we design and build comprehensive, proven solutions inspired by technology to find and keep the unique talent that elevates our clients above the competition. Cielo is an equal opportunity employer and will not discriminate against any applicant for employment because of race, color, religion, sex, national origin, disability, age, genetic information, or any other status protected by state or local law for an individual who falls within the jurisdiction of such law. Applicants who require an accommodation throughout the application and interview process should request this in advance by contacting Cielo Talent Acquisition at talent.acquisition@cielotalent.com The Senior Director - Client Data Solutions is a strategic leadership role responsible for defining and delivering the organization’s end-to-end client data ecosystem, including client integrations (ATS and external systems), data engineering, and client-facing reporting solutions. This role ensures seamless, scalable data flow from client environments into internal systems and productized data solutions, owning the design, delivery, and reliability of integrations that enable consistent, high-quality dashboards and reporting experiences. The Senior Director – Client Data Solutions is accountable for templated, analytics-ready data products that power client reporting, while partnering with Business Intelligence and analytics teams who drive insight generation and ad hoc analysis. As a senior member of the Client Technology leadership team, this role works closely with Product Management, AI Engineering, and Client Services to align integration and data capabilities with product strategy, AI initiatives, and long-term platform evolution. Role: Remote - United States Work set up: Monday to Friday - FTE Skills: Are you Strong experience in Data engineering / Data platforms & integrations? Do you have the ability to Identify most efficient and stable ways to extract client data, Ensure correct integration into internal systems then translate into accurate reporting and dashboards? Duties and Responsibilities: * Lead, mentor, and scale Data Engineering, Integration Engineering, and Client Reporting teams, providing technical guidance, career development, and performance management. * Define and execute the organization’s data integration and client data strategies, spanning integrations, data platform, and reporting enablement. * Establish KPIs to measure data platform performance, reporting adoption, data quality, and business impact. * Partner with executive stakeholders across Product, AI Engineering, and Client Services to align data capabilities with business priorities. * Contribute to Engineering Leadership governance, including technical standards, architecture, and long-term strategy. * Drive technical direction for data architecture, integration patterns, and platform scalability. * Oversee the design and delivery of scalable, reliable data integration pipelines and integration workflows across client systems and internal platforms. * Establish best practices for data engineering, including testing, deployment, observability, and documentation. * Guide implementation of data quality, monitoring, and reliability frameworks. * Ensure compliance with data governance, security, and regulatory requirements. * Continuously evaluate and evolve the data technology stack to support growth and innovation. * Own the strategy and delivery of client-facing data products, including dashboards, reporting layers, and embedded data experiences. * Deliver scalable, templated reporting solutions that reduce reliance on custom, one-off reporting. * Partner with Client Services and Operations to translate business needs into reusable, analytics-ready data models. * Establish and maintain semantic layers, standardized metrics, and governed data definitions. * Ensure performance, usability, and consistency of data powering all client reporting experiences. * Collaborate with Product Management to embed reporting capabilities into core platform offerings. * Partner with Product Management to align data capabilities with product roadmaps and client value propositions. * Collaborate with AI Engineering to ensure enterprise data supports AI/ML model development, deployment, and consumption. * Work closely with client-facing teams to understand customer needs and deliver scalable, repeatable data solutions. * Act as a bridge between technical and business stakeholders to drive alignment and clarity on data initiatives. * Champion a data-driven culture across the organization. * Oversee planning, prioritization, and execution of data integration and platform initiatives. * Manage budgets, vendor relationships, and data-related technology investments. * Establish processes for monitoring, troubleshooting, and maintaining production data systems. * Drive continuous improvement in scalability, reliability, and efficiency of data operations. * Enable faster delivery of reporting capabilities through standardization and reusable data assets. Supervisory Responsibilities: The Senior Director - Client Data Solutions will assist with daily activities, provide guidance, conduct performance reviews, and support the professional growth of the Data Engineering, Integration Engineering, and Client Reporting leaders. ## Qualifications Position Requirements Education: * Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field strongly preferred Experience: * 8+ years of experience in data engineering, data platforms, or integration roles * 5+ years of experience leading technical teams, including managing managers * Deep experience with modern data architecture, ETL/ELT, and integration frameworks * Proven track record of delivering client-facing data solutions or data products at scale * Demonstrated ability to align technical solutions with business outcomes * Strong understanding of our core tech stack: AWS, Microsoft Azure, Apache Airflow, Docker, Python (Pandas), RDBMS (Snowflake, PostgreSQL), and NoSQL (Redis, DynamoDB) * Extensive experience with data modeling, ETL/ELT processes, and database technologies (Snowflake, PostgreSQL, NoSQL) * Experience with API design, development, and integration patterns * Experience working with AI/ML teams to support data requirements for model development and deployment * Track record of successfully delivering complex data integration projects that meet business requirements * Experience in talent acquisition technology, HR systems, or related industries preferred Exposure: * Knowledge of data governance, security, and compliance requirements * Proficiency in data quality management and monitoring tools * Understanding of the full life cycle of project/program execution following established project management methodology * Demonstrate expert knowledge of talent acquisition platforms, tools, products, and other complimentary technologies to support these platforms * Deep subject matter expertise in a variety of workstreams (change management, risk assessment, compliance, sponsorship modelling, user acceptance testing, end-to-end testing, end user training, communications, resistance management, launch planning, and configuration) * Commercially astute * Proficient in Word, Excel, PowerPoint, Outlook, Smartsheet, Lucidchart, and other related productivity software", "summaryDescription" : "Senior Director - Client Data Solutions at Cielo", "postedDate" : "2026-06-15T22:06:15.000", "createdAt" : "2026-06-16T03:36:55.089", "lastUpdated" : "2026-06-16T15:04:26.865", "ingestTimestamp" : "2026-06-16T03:36:55.089", "mongoId" : "6a309434f292fd229c0c84f8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 330000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 629.7389, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30674cf292fd229cfbb6b7", "title" : "Principal Architect – Data & AI Solutions", "company" : "3Cloud", "industry" : "Consulting", "salary" : { "min" : 168400.0, "max" : 217800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote - US", "locations" : [ "Remote - US" ], "timestamp" : "2026-06-16T08:12:34.815", "fingerprint" : "c34f1767305501a1d398d93179115d1869e788c85f1fd2fc4109a9e84649ac11", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/3cloud/jobs/8592986002?gh_jid=8592986002", "externalId" : "8592986002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Data, Analytics, AI, Microsoft Azure, Azure Data Services, Azure AI, Synapse, Fabric, Databricks", "professionalSkills" : [ "Solution strategy", "Deal closure", "Technical discoveries", "Solution design", "Business outcomes", "Technical feasibility", "ROI articulation", "Executive presentations", "Architecture reviews", "Proposals", "Thought leadership", "Client impact" ], "hardSkillsList" : [ "Data engineering", "Data architect", "Machine learning", "AI", "Solution architecture" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Data architect", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "AI", "level" : "intermediate" }, { "name" : "Solution architecture", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Microsoft platform, Azure", "majorSkillsList" : [ "Microsoft platform", "Azure" ], "coreResponsibilities" : "Lead as a technical evangelist, Serve as a trusted advisor for clients, Shape Data & AI conversations, Develop compelling solution visions, Partner closely with sales teams, Partner closely with account teams, Drive opportunity qualification, Drive solution strategy, Drive deal closure, Lead technical discoveries with clients, Understand business priorities, Understand decision criteria, Understand value drivers, Translate priorities into architectures, Lead design of Data & AI solutions, Present Data & AI solutions, Articulate business outcomes, Articulate technical feasibility, Articulate ROI, Provide executive-level technical depth, Influence client stakeholders, Lead technical credibility, Conduct whiteboarding sessions, Conduct architecture reviews, Develop proposals, Deliver executive presentations, Guide architects, Mentor data scientists, Ensure solution consistency, Ensure technical excellence, Align with go-to-market strategy, Identify opportunities to expand pipeline, Lead innovation workshops, Lead POVs, Lead targeted thought leadership, Ensure proposed solutions align with Microsoft best practices, Ensure proposed solutions align with security standards, Ensure proposed solutions align with regulatory requirements, Stay current on Microsoft Data & AI roadmaps, Stay current on industry trends", "teamCollaboration" : "Partner with sales teams; Partner with account teams; Guide architects; Mentor data scientists", "domainKnowledge" : "Data & AI; Microsoft Data & AI; Azure Data Services; Azure AI; Synapse; Fabric; Databricks; Cloud-native architecture", "domainList" : [ "data-ai", "microsoft-data-ai", "azure-data-services", "azure-ai", "synapse", "fabric", "databricks", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Data & AI", "Microsoft Data & AI", "Azure Data Services", "Azure AI", "Synapse", "Fabric", "Databricks", "Cloud-native architecture" ], "toolProficiency" : [ "Microsoft platform" ], "communicationSkills" : "Executive presentations; Whiteboarding; Storytelling", "continuousLearning" : "Stay current on Microsoft Data & AI roadmaps; Stay current on industry trends", "innovationCreativity" : "Innovation workshops; POVs; Thought leadership", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Drive opportunity qualification; Drive solution strategy; Drive deal closure; Influence pipeline progression; Close deals", "qualificationsBasic" : "10+ years of experience in Data, Analytics, or AI roles, Proven experience leading pre-sales or client-facing technical engagements, Deep hands-on expertise with Microsoft Data & AI, Ability to translate complex technical capabilities into clear business value narratives, Demonstrated $500k+ deal success, Executive presence, Architectural mindset, Excellent communication skills", "qualificationsPreferred" : "Experience with Azure Data Services, Experience with Azure AI, Experience with Synapse/Fabric, Experience with Databricks on Azure", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Are you looking for a role that motivates and challenges you? Are you ready for an opportunity for growth? Do you want to work on teams where people roll up their sleeves to take on tough problems together, and regularly blow the doors off our clients with their outstanding teamwork? If you answered yes to those questions, 3Cloud might just be for you! At 3Cloud, we hire people who aren’t afraid to experiment or fail. We hire people who are willing to give direct and candid feedback to their managers, leaders, and team members. We hire people who jump at those opportunities because they care about our collective growth and success. We hire people who challenge and hold each other accountable for living 3Cloud’s core values because they know that it will result in amazing experiences and solutions for our clients and each other. Principal Architect - Data & AI SME Responsibilities · Lead as a technical evangelist and trusted advisor for clients, shaping early-stage Data & AI conversations into compelling solution visions built on the Microsoft platform. · Partner closely with sales and account teams to drive opportunity qualification, solution strategy, and deal closure for Data & AI engagements. · Lead technical discoveries with clients to understand business priorities, decision criteria, and value drivers, translating them into winning Data & AI architectures. · Lead design and present Data & AI solutions that clearly articulate business outcomes, technical feasibility, and ROI. · Provide executive-level technical depth in Azure with depth in data engineering, data architect, machine learning, or AI to influence client stakeholders from practitioner to C-level. · Lead technical credibility throughout the sales cycle, including whiteboarding sessions, architecture reviews, proposals, and executive presentations. · Guide and mentor architects and data scientists to ensure solution consistency, technical excellence, and alignment with go-to-market strategy. · Identify and lead opportunities to expand pipeline through innovation workshops, POVs, and targeted thought leadership aligned to Microsoft Data & AI offerings. · Ensure proposed solutions align with Microsoft best practices, security standards, and regulatory requirements. · Stay current on Microsoft Data & AI roadmaps and industry trends to continuously sharpen competitive positioning and client impact. Requirements · 10+ years of experience in Data, Analytics, or AI roles, with significant exposure to enterprise client environments. · Proven experience leading pre-sales or client-facing technical engagements, including discovery, solution design, and executive presentations. · Deep hands-on expertise with Microsoft Data & AI in at least one of Azure Data Services, Azure AI, Synapse/Fabric, Databricks on Azure). · Strong ability to translate complex technical capabilities into clear business value narratives that resonate with technical and non-technical stakeholders. · Demonstrated $500k+ deal success partnering with sales and account teams to influence pipeline progression and close deals. · Executive presence with experience leading the C-suite engagement and partnering with senior leaders as a trusted technical advisor. · Strong architectural mindset with the ability to design end-to-end Data & AI solutions aligned to client objectives, security, and governance needs. · Excellent communication skills, including whiteboarding, storytelling, and formal presentations. · Ability to work in a fast-paced environment  Don’t meet every single requirement? At 3Cloud we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At this time, we cannot sponsor applicants for work visas. This Job Posting will expire on Monday, June 22nd, 2026. 3Cloud Total Rewards Highlights Include:  Flexible work location with a virtual first approach to work!  401(K) with match up to 50% of your 6% contributions of eligible pay  Generous PTO providing a minimum of 15 days in addition to 9 paid company holidays and 2 floating personal days  Two medical plan options to allow you the choice to elect what works best for you! Option for vision and dental coverage  100% employer paid coverage for life and disability insurance Paid leave for birth parents and non-birth parents  Option for Healthcare FSA, HSA, and Dependent Care FSA $67.00 monthly tech and home office allowance Utilization and/or discretionary bonus eligibility based on role  Employee Assistance Program to help with everyday challenges 3Cloud offers competitive compensation. In addition to base pay employees are eligible to receive an annual discretionary/utilization bonus. If you are hired at 3Cloud your final base salary is based on factors such as skills, education, experience and/or geographic location. Please keep in mind that the range mentioned above includes the full base salary range for the role. It is not typical for offers to be made at or near the top of the range. Base Salary Range $168,400—$217,800 USD Don’t meet every single requirement? At 3Cloud we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At this time, we cannot sponsor applicants for work visas.", "summaryDescription" : "Principal Architect – Data & AI Solutions at 3Cloud. Skills: Microsoft platform, Azure. Lead as a technical evangelist. Serve as a trusted advisor for clients", "postedDate" : "2026-06-15T23:27:41.593", "createdAt" : "2026-06-15T23:27:41.593", "lastUpdated" : "2026-06-16T08:12:34.815", "ingestTimestamp" : "2026-06-15T23:27:41.593", "mongoId" : "6a30674cf292fd229cfbb6b7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 168400, "salaryAnnualMax" : 217800, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data engineering", "Data architect", "Machine learning", "AI", "Solution architecture", "Leadership", "Mentoring", "Microsoft platform", "Azure", "Solution strategy", "Deal closure", "Technical discoveries", "Solution design", "Business outcomes", "Technical feasibility", "ROI articulation", "Executive presentations", "Architecture reviews", "Proposals", "Thought leadership", "Client impact", "Data & AI", "Microsoft Data & AI", "Azure Data Services", "Azure AI", "Synapse", "Fabric", "Databricks", "Cloud-native architecture" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "_score" : 625.87103, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306eabf292fd229cfe0ff9", "title" : "データアナリスト・Hydrogen Ecosystem Solutions", "company" : "ウーブン・バイ・トヨタ", "industry" : "(Mobility BU)", "salary" : { "min" : 7500000.0, "max" : 1.1E7, "currency" : "JPY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Analyst in Tokyo, Japan, adjusted for the technology industry and a large company size." }, "location" : "東京都中央区", "locations" : [ "東京都中央区" ], "timestamp" : "2026-06-16T11:01:59.219", "fingerprint" : "06a264c0618c2866256e02c708d8139509bc717d2744dfc875172c39de58ea67", "source" : "lever", "language" : "ja", "applyUrl" : "https://jobs.lever.co/woven-by-toyota/bf968114-42c1-410b-b2b2-5cf38deafe27/apply", "externalId" : "bf968114-42c1-410b-b2b2-5cf38deafe27", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chuo City", "state" : "Tokyo", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "35.6210048,139.7013568" } ], "locationText" : "Chuo City, Tokyo, Japan", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python, Power BI, Tableau, GIS, HTML, CSS, JavaScript, Django, Flask, FastAPI, Java, Spring, PostgreSQL, Oracle, MySQL", "professionalSkills" : [ "Data modeling", "Data analysis", "Business analysis", "Product development", "Business development", "Strategy development" ], "hardSkillsList" : [ "Data collection", "Data processing", "Statistics", "Trend analysis", "Data visualization", "Report creation", "Interactive mapping", "Data transformation", "Business insights", "Data gathering", "Operational data analysis" ], "softSkillsList" : [ "Entrepreneurial spirit", "Cooperative mindset" ], "hardSkills" : [ { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" }, { "name" : "Trend analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Report creation", "level" : "intermediate" }, { "name" : "Interactive mapping", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Business insights", "level" : "intermediate" }, { "name" : "Data gathering", "level" : "intermediate" }, { "name" : "Operational data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Entrepreneurial spirit" }, { "name" : "Cooperative mindset" } ], "majorSkills" : "Data analysis, Data visualization, Business insights, Energy systems", "majorSkillsList" : [ "Data analysis", "Data visualization", "Business insights", "Energy systems" ], "coreResponsibilities" : "Extract meaningful insights from big data, Create impactful visualizations and reports, Build interactive map-based data visualizations, Process data into usable formats, Analyze trends and patterns, Generate business insights, Identify priority datasets for analysis, Support data collection, Analyze operational data from hydrogen pilots, Derive learnings and business insights, Collaborate with cross-departmental teams, Define analytical questions, Implement insights from analysis", "teamCollaboration" : "Cross-departmental teams; Service project owners; Third parties; Software engineers; Hardware engineers", "domainKnowledge" : "Hydrogen economy; Energy supply/demand; Renewable energy; Energy balancing; Energy forecasting", "domainList" : [ "hydrogen-economy", "energy-supply-demand", "renewable-energy", "energy-balancing", "energy-forecasting" ], "domainSpecificKnowledge" : [ "Hydrogen economy", "Energy supply/demand", "Renewable energy", "Energy balancing", "Energy forecasting" ], "toolProficiency" : [ "Power BI", "Tableau", "GIS", "HTML", "CSS", "JavaScript", "Django", "Flask", "FastAPI", "Spring", "PostgreSQL", "Oracle", "MySQL" ], "communicationSkills" : "Report creation; Visualization creation", "continuousLearning" : "Software learning; Language learning", "problemSolvingSkills" : "Data analysis; Business insights", "qualificationsBasic" : "Bachelor's degree in Engineering or related field, 3-5 years of experience, Expertise in data collection and processing (SQL, Python), Expertise in statistics and trend analysis, Expertise in BI tools (Power BI, Tableau), Familiarity with energy supply/demand topics, Native/Business level Japanese, Advanced English", "qualificationsPreferred" : "Master's degree in Engineering or related field, Knowledge of cloud services, Experience developing software for EMS/power systems, Ability to learn new fields, Business level English, Experience with UI/UX design, Experience with front-end web development, Professional experience with web application development, Experience designing web APIs, Experience designing databases, Experience designing batch processing", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Description ウーブン・バイ・トヨタについてウーブン・バイ・トヨタは、トヨタの100年に一度のモビリティ・カンパニーへの変革に寄与していきます。「自分以外の誰かのために」発明を続けたという歴史からインスピレーションを受けた私たちのミッションーそれは、モビリティの定義を拡げ、そしてモビリティが社会に貢献する方法を拡張し、人を想うイノベーションで、モビリティの常識に挑み続けることです。私たちは4つの柱を中心に活動しています：自動運転・先進運転支援システム技術のAD/ADAS、SDV（ソフトウェア定義車両）のための車両ソフトウェア生産プラットフォームであるArene、モビリティのテストコースであるWoven City、そして協業基盤を支えるデジタル・インフラストラクチャのCloud & AIです。また、ビジネスに不可欠な機能がこれらのチームの実装を下支えし、一丸となって「事故ゼロ社会」と「幸せの量産」の実現に向けて取り組んでいます。 ========================================================================= ## チームについてトヨタはモビリティの意味を再定義します。ヒト、モノ、情報、そしてエネルギーを動かし、モビリティの常識に挑み続けます。Woven Cityでは、このような様々なモビリティを生み出し、試すテストコースとして、ヒト中心の街・実証実験の街・未完成の街をコンセプトに、幸せの量産を目指しますWoven Cityには未来のモビリティへの想いを共有する多様な仲間が集まります。Inventors（インベンターズ／発明家）、住民、ビジターは、ヒト・モビリティ・社会インフラが連携する街の形をしたテストコースで、生活をしながら様々なプロダクトやサービスを実証します。Toyota Woven Cityは、コネクティッドエコシステムを目指して日本の富士山麓に建設される都市であり、再生可能電力と水素を含むカーボンフリーエネルギー（CFE）を動力源として活用することも目指しています。このチームは、Woven Cityでの水素実証環境の立ち上げと運営、Woven City外での実証実験、様々なステークホルダーとの協業、ビジネスモデルと戦略の開発を担当します。また、採用後の配属としては、このチームの責任者、Hydrogen Product Management EnergyチームのSub-Leadの直属となります。Woven Cityに関する詳細は、以下をご覧ください：https://www.woven-city.global/jpn/ ## 求める人材私たちは、Woven Cityのユニークな実証環境を活用し、水素普及に情熱を持って取り組める方を募集しています。水素エコシステムソリューションチームのデータアナリストとして、様々な水素実証実験やデータソースから得られるデータを分析し、水素関連のプロダクト開発および事業開発を支えるインサイトを導き出していただきます。Woven Cityの域内・域外に展開する水素のプロダクト・ビジネスモデルの開発に情熱を持つアナリストを求めています。データ分析に関する実務経験と深い知識を活かし、大量のデータから水素のプロダクト・ビジネス開発に役立つインサイトを抽出することが期待されます。また、様々なステークホルダーとのコミュニケーションを支援するため、ビジュアライゼーションやレポートの作成も担当していただきます。さらに、多様な専門分野のスペシャリストと密接に連携し、インサイトを導き出すとともに、チーム全体のデータ活用性を支えていただきます。エネルギーまたはエンジニアリング関連分野でのデータ分析経験があり、強いオーナーシップと起業家精神を持つ方を求めています。部署や外部企業を超えて様々なステークホルダーと協働するため、協調性のあるマインドセットが重要です。 ## 業務内容データモデリングと分析の専門知識を活用し、ビッグデータ（大量・多様なデータ等）から意義あるインサイトを抽出するステークホルダーのビジネス目標とユーザー体験を考慮し、データ分析からインパクトのあるビジュアライゼーションとレポートを作成するインタラクティブな地図ベースのデータビジュアライゼーションを構築する（例：GIS、HTML、CSS、JavaScriptまたは関連ソフトウェアを使用）データを使いやすい形式に加工し、トレンドやパターンを分析してビジネスインサイトを創出する（ビジネスないしその他関連の専門家と協働）意義ある分析のために優先すべきデータセットを特定し、データ収集を支援する（データエンジニア/ソフトウェアエンジニアおよび主題専門家と協働）様々な水素実証実験の運用データを分析し、学びとビジネスインサイトを導き出す部門をまたがる様々なチーム、各種サービスプロジェクトオーナー、サードパーティ、ソフトウェア・ハードウェアエンジニアと協働し、分析のための問いを定義し、分析から得られたインサイトを実装する ## 必須条件情報工学、データサイエンス、コンピュータサイエンス、機械工学、電気工学、または関連する技術分野の学士号、もしくは同等の実務経験データ分析/データサイエンス分野で3〜5年以上の経験データ収集と加工に関する専門知識（例：SQL、Python等）統計学とトレンド分析の専門知識 BIツールの専門知識（例：Power BI、Tableau）エネルギー需給に関するトピック（例：水素経済、石油・ガス、再生可能エネルギー、エネルギー需給バランシングと予測、その他関連分野）への精通ネイティブ/ビジネスレベルの日本語、および英語力向上への意欲を持つアドバンスレベルの英語力 ## 歓迎条件情報工学、データサイエンス、コンピュータサイエンス、機械工学、電気工学、または関連する技術分野の修士号、もしくは同等の実務経験クラウドサービスに関する知識エネルギーマネジメントシステム、電力システム向けのソフトウェア製品開発経験必要に応じて新しい分野を学習する能力ビジネスレベルの英語力 UI/UXデザインおよびフロントエンドWeb開発の経験 Python（Django、Flask、FastAPI等）またはJava（Spring等）とDB（PostgreSQL、Oracle、MySQL等）を用いたWebアプリケーション開発のプロフェッショナル経験 Web API、データベース、バッチ処理の設計書作成能力 ## Additional Information ========================================================================= 注意事項・通常、すべての面接はGoogle Meetで実施いたします。・現在募集中の求人票は英語版と日本語版の両方で掲載しております。つきましては、いずれか一方のみにご応募いただきますようお願い申し上げます。・ご応募の際には、できるだけ英文レジュメのご提出をお願いしておりますが、何らかの理由で日本語職務経歴書をご提出いただいた場合、ポジションによっては選考過程で英文レジュメの提出をお願いすることがございますので、あらかじめご了承ください。待遇・福利厚生・経験に基づく業界水準に見合った給与・勤務時間：フレキシブルな勤務時間・年次有給休暇：年間20日（初年度は入社月により日数が異なる）・私傷病休暇：年間6日（初年度は入社月により日数が異なる）・休日：土日、祝日、その他当社が定めた日・社会保険：健康保険、厚生年金保険、労災保険、雇用保険、介護保険・住宅手当・退職金制度・レンタカーサポート・社内研修制度（ソフトウェア学習・語学学習）私たちのコミットメント・当社は機会均等な雇用を実現し、多様性を尊重しています。・お預かりした個人情報は、採用および入社手続きにのみ使用いたします。詳細については、個人情報規約をご覧ください。", "summaryDescription" : "データアナリスト・Hydrogen Ecosystem Solutions at ウーブン・バイ・トヨタ. Skills: Data analysis, Data visualization, Business insights, Energy systems. Extract meaningful insights from big data. Create impactful visualizations and reports", "postedDate" : "2026-06-15T09:26:40.257", "createdAt" : "2026-06-15T09:26:40.257", "lastUpdated" : "2026-06-16T11:01:59.219", "ingestTimestamp" : "2026-06-16T03:25:23.548", "mongoId" : "6a306eabf292fd229cfe0ff9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data collection", "Data processing", "Statistics", "Trend analysis", "Data visualization", "Report creation", "Interactive mapping", "Data transformation", "Business insights", "Data gathering", "Operational data analysis", "Entrepreneurial spirit", "Cooperative mindset", "Data analysis", "Energy systems", "Data modeling", "Business analysis", "Product development", "Business development", "Strategy development", "Hydrogen economy", "Energy supply/demand", "Renewable energy", "Energy balancing", "Energy forecasting", "Power BI", "Tableau", "GIS", "HTML", "CSS", "JavaScript", "Django", "Flask", "FastAPI", "Spring", "PostgreSQL", "Oracle", "MySQL" ], "skillCount" : 38, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 624.48376, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "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" : 624.029, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306afff292fd229cfceb62", "title" : "Sr Business Solutions Data Analyst", "company" : "NBCUniversal", "industry" : "Entertainment", "salary" : { "min" : 110000.0, "max" : 140000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Universal City, CALIFORNIA, United States", "locations" : [ "Universal City", "CALIFORNIA", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T12:54:54.937", "fingerprint" : "573df74f46a123893d4c72a69cfe2c1a4390911bc45d7a765ec4bc1462ce7c3c", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NBCUniversal3/744000132223399-sr-business-solutions-data-analyst", "externalId" : "744000132223399", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Universal City", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "34.1419225,-118.3584110" } ], "locationText" : "Universal City, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Spark, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, AWS, GCP, Azure", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Business intelligence", "Data warehousing", "ETL processes" ], "hardSkillsList" : [ "Data analysis", "Data manipulation", "Data visualization", "Statistical modeling", "Machine learning" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Business intelligence, Machine learning", "majorSkillsList" : [ "Data analysis", "Business intelligence", "Machine learning" ], "coreResponsibilities" : "Develop and maintain BI dashboards, Analyze complex datasets, Build predictive models, Collaborate with stakeholders, Identify trends and insights, Present findings to leadership, Ensure data quality, Automate reporting processes", "teamCollaboration" : "Cross-functional teams; Business stakeholders", "toolProficiency" : [ "Tableau", "Power BI", "Snowflake", "BigQuery", "Databricks", "Spark", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM" ], "communicationSkills" : "Present findings", "problemSolvingSkills" : "Root cause analysis; Data-driven decision making", "qualificationsBasic" : "Bachelor's degree, 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, "rawDescription" : "NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. The Sr. Data Analyst, Business Solutions will join the Film & TV Studios Technical Solutions team within Studios Technology Solutions. This role supports analytics initiatives across the Film and TV business, advancing the growth, adoption, and effective use of data as a strategic capability. The Sr. Data Analyst partners closely with business stakeholders and enterprise data engineering teams to analyze complex datasets, generate actionable insights, and deliver scalable analytics solutions that drive strategic decision-making across Universal Entertainment. This role supports key business areas including but not limited to Global Data Strategy, Film Strategy & Business Development, Marketing, Theatrical Distribution, and Finance. RESPONSIBILITIES: * Perform in-depth analysis across Universal Entertainment business areas, including Marketing, Global Data Strategy, and Business Development, to generate actionable insights that support data-driven decision-making * Translate business questions and stakeholder requirements into analytical frameworks and scalable reporting solutions aligned with enterprise analytics strategy and roadmap priorities * Build, enhance, and maintain dashboards and self-service analytics tools using BI platforms such as Tableau, Power BI, or Looker * Partner with Engineering and Enterprise data teams to support data pipelines, integrations, data quality, and analytics readiness across initiatives * Write advanced SQL queries to extract, transform, validate, and analyze large datasets across enterprise data platforms * Support the implementation, enhancement, and enterprise adoption of analytics solutions * Communicate insights clearly through data storytelling, visualization, and stakeholder presentations * Contribute to advanced analytics initiatives, including audience insights, forecasting, experimentation, and ML/AI-enabled use cases * All other duties as assigned ## Qualifications REQUIREMENTS: * Bachelor's degree in computer science, statistics, data analytics or related field (or equivalent experience) * 5+ years of experience in data analytics, business intelligence or analytics-focused roles * Advanced proficiency in SQL for complex querying, data validation, and analysis * Strong experience working with enterprise data platforms and analytics tools * Experience translating business requirements into analytical frameworks and reporting solutions * Experience analyzing and validating marketing, audience, or digital performance datasets * Experience with BI and data visualization tools (Tableau, Power BI, or Looker) * Experience working with large datasets across multiple data sources and systems * Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights * Experience working in cross-functional teams involving marketing partners, data engineers, and technology teams * Excellent communication skills with the ability to explain analytical findings to non-technical audiences * Ability to manage analytics work independently across multiple initiatives in a fast-paced environment PREFERRED QUALIFICATIONS: * Experience working in the global Media & Entertainment industry * Understanding of the Film, TV, and Streaming landscape, including digital marketing and consumer behavior trends * Experience in the following data platforms and technologies: BigQuery, Snowflake, Vertex AI, Cloud Composer, BigQuery ML, AutoML AWS, S3, Python and SQL * Experience in television networks, television studios, and streaming a plus * Experience supporting large-scale analytics programs or enterprise analytics initiatives * Demonstrated ability to adopt new technologies quickly and articulate their business value * Proactive, self-directed work style with strong initiative and the ability to manage work independently Additional Requirements Hybrid : This position has been designated as hybrid, which currently requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $110,000 - $140,000. ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.", "summaryDescription" : "Sr Business Solutions Data Analyst at NBCUniversal. Skills: Data analysis, Business intelligence, Machine learning. Develop and maintain BI dashboards. Analyze complex datasets", "postedDate" : "2026-06-15T14:47:22.000", "createdAt" : "2026-06-16T00:31:35.590", "lastUpdated" : "2026-06-16T12:54:54.937", "ingestTimestamp" : "2026-06-16T00:31:35.590", "mongoId" : "6a306afff292fd229cfceb62", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 110000, "salaryAnnualMax" : 140000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data manipulation", "Data visualization", "Statistical modeling", "Machine learning", "Business intelligence", "Data modeling", "Statistical analysis", "Data warehousing", "ETL processes", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Snowflake", "BigQuery", "Databricks", "Spark", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 622.8391, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 }, { "id" : "6a304ff3f292fd229ceeb333", "title" : "Sr Business Solutions Data Analyst", "company" : "NBCUniversal", "industry" : "Entertainment", "salary" : { "min" : 110000.0, "max" : 140000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Universal City, CALIFORNIA, United States", "locations" : [ "Universal City", "CALIFORNIA", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T06:03:01.402", "fingerprint" : "639c04386d0c4d8cbbaf91346f978eb0db89ac8caf4081e5b48ed29c43edee52", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NBCUniversal3/744000132223399-sr-business-solutions-data-analyst", "externalId" : "744000132223399", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Universal City", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "34.1419225,-118.3584110" } ], "locationText" : "Universal City, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Spark, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, AWS, GCP, Azure", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Business intelligence", "Data warehousing", "ETL processes" ], "hardSkillsList" : [ "Data analysis", "Data manipulation", "Data visualization", "Statistical modeling", "Machine learning" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Business intelligence, Machine learning", "majorSkillsList" : [ "Data analysis", "Business intelligence", "Machine learning" ], "coreResponsibilities" : "Develop and maintain BI dashboards, Analyze complex datasets, Build predictive models, Collaborate with stakeholders, Identify trends and insights, Present findings to leadership, Ensure data quality, Automate reporting processes", "teamCollaboration" : "Cross-functional teams; Business stakeholders", "toolProficiency" : [ "Tableau", "Power BI", "Snowflake", "BigQuery", "Databricks", "Spark", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM" ], "communicationSkills" : "Present findings", "problemSolvingSkills" : "Root cause analysis; Data-driven decision making", "qualificationsBasic" : "Bachelor's degree, 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, "rawDescription" : "NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. The Sr. Data Analyst, Business Solutions will join the Film & TV Studios Technical Solutions team within Studios Technology Solutions. This role supports analytics initiatives across the Film and TV business, advancing the growth, adoption, and effective use of data as a strategic capability. The Sr. Data Analyst partners closely with business stakeholders and enterprise data engineering teams to analyze complex datasets, generate actionable insights, and deliver scalable analytics solutions that drive strategic decision-making across Universal Entertainment. This role supports key business areas including but not limited to Global Data Strategy, Film Strategy & Business Development, Marketing, Theatrical Distribution, and Finance. RESPONSIBILITIES: * Perform in-depth analysis across Universal Entertainment business areas, including Marketing, Global Data Strategy, and Business Development, to generate actionable insights that support data-driven decision-making * Translate business questions and stakeholder requirements into analytical frameworks and scalable reporting solutions aligned with enterprise analytics strategy and roadmap priorities * Build, enhance, and maintain dashboards and self-service analytics tools using BI platforms such as Tableau, Power BI, or Looker * Partner with Engineering and Enterprise data teams to support data pipelines, integrations, data quality, and analytics readiness across initiatives * Write advanced SQL queries to extract, transform, validate, and analyze large datasets across enterprise data platforms * Support the implementation, enhancement, and enterprise adoption of analytics solutions * Communicate insights clearly through data storytelling, visualization, and stakeholder presentations * Contribute to advanced analytics initiatives, including audience insights, forecasting, experimentation, and ML/AI-enabled use cases * All other duties as assigned ## Qualifications REQUIREMENTS: * Bachelor's degree in computer science, statistics, data analytics or related field (or equivalent experience) * 5+ years of experience in data analytics, business intelligence or analytics-focused roles * Advanced proficiency in SQL for complex querying, data validation, and analysis * Strong experience working with enterprise data platforms and analytics tools * Experience translating business requirements into analytical frameworks and reporting solutions * Experience analyzing and validating marketing, audience, or digital performance datasets * Experience with BI and data visualization tools (Tableau, Power BI, or Looker) * Experience working with large datasets across multiple data sources and systems * Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights * Experience working in cross-functional teams involving marketing partners, data engineers, and technology teams * Excellent communication skills with the ability to explain analytical findings to non-technical audiences * Ability to manage analytics work independently across multiple initiatives in a fast-paced environment PREFERRED QUALIFICATIONS: * Experience working in the global Media & Entertainment industry * Understanding of the Film, TV, and Streaming landscape, including digital marketing and consumer behavior trends * Experience in the following data platforms and technologies: BigQuery, Snowflake, Vertex AI, Cloud Composer, BigQuery ML, AutoML AWS, S3, Python and SQL * Experience in television networks, television studios, and streaming a plus * Experience supporting large-scale analytics programs or enterprise analytics initiatives * Demonstrated ability to adopt new technologies quickly and articulate their business value * Proactive, self-directed work style with strong initiative and the ability to manage work independently Additional Requirements Hybrid : This position has been designated as hybrid, which currently requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $110,000 - $140,000. ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.", "summaryDescription" : "Sr Business Solutions Data Analyst at NBCUniversal. Skills: Data analysis, Business intelligence, Machine learning. Develop and maintain BI dashboards. Analyze complex datasets", "postedDate" : "2026-06-15T14:47:22.000", "createdAt" : "2026-06-15T21:34:51.830", "lastUpdated" : "2026-06-16T06:03:01.402", "ingestTimestamp" : "2026-06-15T21:34:51.830", "mongoId" : "6a304ff3f292fd229ceeb333", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 110000, "salaryAnnualMax" : 140000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data manipulation", "Data visualization", "Statistical modeling", "Machine learning", "Business intelligence", "Data modeling", "Statistical analysis", "Data warehousing", "ETL processes", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Snowflake", "BigQuery", "Databricks", "Spark", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 622.8391, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 }, { "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" : 615.55664, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "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. 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As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe transportation is more than movement, it’s the foundation of connected, thriving communities. As part of HDR’s Transportation Business Group, you’ll help shape the systems that move people and goods safely, efficiently, and sustainably. From designing resilient highways and iconic bridges to advancing transit, passenger and freight rail, aviation, federal transportation ports and marine infrastructure, your work will directly support economic vitality, public safety, sustainable and resilient communities and quality of life. We bring together planners, engineers, architects, construction management staff, environmental, strategic communications, economists, management consultants and specialists across disciplines to solve complex mobility challenges with innovation, technical excellence, and a deep understanding of community needs. Whether you're modernizing aging infrastructure or pioneering next-generation transportation solutions, your contributions will help define the future of mobility. This isn’t just a job, it’s a chance to lead progress, drive meaningful impact, and leave a legacy of smarter, more connected transportation networks. We are all employee-owners at HDR, which is the foundation of our collaborative culture that connects employees around the world. In this role, you will leverage advanced data analytics and low-code development to modernize business processes, enhance operational efficiency, and deliver automated, insight-driven solutions. As a Data Solutions Developer, you will collaborate closely with stakeholders, translate complex requirements into technical solutions, design predictive models, and build applications and automations that support strategic organizational goals. This role requires strong analytical capability, technical expertise, and the ability to manage sensitive information with professionalism and discretion. Key Responsibilities : Data & Analytics Analyze complex datasets to identify patterns, trends, and opportunities that improve business decisions. Develop data products including reports, dashboards, and visualizations to communicate business insights and KPIs. Perform data acquisition, cleaning, transformation, and exploratory data analysis (EDA). Engineer features and transform raw data into structured attributes for machine learning models. Build and maintain advanced predictive models (classification, regression, time series, neural networks, NLP, computer vision). Manage the end-to-end model lifecycle: development, deployment, monitoring, drift detection, retraining, and inference. Tune models and conduct rigorous validation, testing, and quality evaluation. Apply predictive models to enhance operational and business outcomes. Automation, Low-Code Development & Process Optimization Leverage Microsoft Power Platform (Power Apps, Power Automate, Power BI, etc.) to build business applications, automate workflows, and improve operational efficiency. Optimize business processes by mapping current (“as-is”) and future (“to-be”) workflows and reengineering processes aligned to organizational goals. Conduct root-cause analysis to identify process inefficiencies and propose technology-driven remedies. Align automation strategies with project objectives and implement scalable automation solutions. Collaborate on UI/UX design considerations to ensure applications and dashboards are intuitive and user-friendly. Develop technical documentation, including SDLC artifacts, workflow diagrams, user guides, and requirements specifications. Participate in unit testing, Quality Assurance (QA), and Quality Control (QC) activities to ensure solution reliability. Systems, Technology & Collaboration Contribute to system, software, or platform implementation efforts by supporting development, testing, rollout, and user adoption. Work with IT, Infrastructure Technology, and Operational Technology teams to align analytics and automation capabilities with enterprise systems. Build dashboards and business intelligence solutions that track project health, KPIs, and performance metrics. Use collaboration tools (SharePoint, Teams, PowerApps) to support project communication, knowledge management, and version control. Engage with customers and stakeholders to gather business requirements and deliver a strong customer experience. Position is based on-site at a client office in Alexandria, VA. Preferred Qualifications: Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Information Technology, or a related field A minimum of 5 years experience strongly preferred Transit experience preferred WMATA experience preferred Preference given to candidates currently located in the area *LI-DNP We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) Washington, DC: %24100,044 - %24142,920. 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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. 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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" : 601.549, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306eabf292fd229cfe0fce", "title" : "Data Analyst, Hydrogen Ecosystem Solutions", "company" : "Woven by Toyota", "industry" : "(Mobility BU)", "salary" : { "min" : 7500000.0, "max" : 1.1E7, "currency" : "JPY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Analyst in Tokyo, Japan, adjusted for the automotive industry and a large company size." }, "location" : "Tokyo", "locations" : [ "Tokyo" ], "certifications" : [ "GCP Professional Data Engineer certification", "AWS Data Analytics certification", "Databricks Certified certification", "Dbt Certified certification" ], "timestamp" : "2026-06-16T14:48:29.706", "fingerprint" : "b3d1fe93e64948c5538189cc5ddb261ac530893dc96b271ebcc0733eac5393ee", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/woven-by-toyota/c5540c73-6fd0-40af-8fe4-ddeb9bcfeebe/apply", "externalId" : "c5540c73-6fd0-40af-8fe4-ddeb9bcfeebe", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tokyo", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "35.6768601,139.7638947" } ], "locationText" : "Tokyo, Japan", "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, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio, Tableau, Power BI, Looker", "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 deploy machine learning models, Build and maintain data pipelines, Design and implement data warehousing solutions, Create and manage BI dashboards, Perform data analysis and generate insights, Collaborate with stakeholders to understand data needs, Ensure data quality and integrity, Optimize data infrastructure for performance and scalability", "teamCollaboration" : "Cross-functional teams; Stakeholders", "domainKnowledge" : "Hydrogen ecosystem", "domainList" : [ "hydrogen-ecosystem" ], "domainSpecificKnowledge" : [ "Hydrogen ecosystem" ], "toolProficiency" : [ "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", "GCP", "Azure", "Tableau", "Power BI", "Looker" ], "qualificationsBasic" : "Bachelor's degree, 5+ years experience, SQL proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description About Woven by Toyota Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society. Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all. ========================================================================= ## TEAM Toyota is redefining what it means to move. We're challenging the current state of mobility by enhancing the movement of people, goods, information and energy. Centered around three core concepts - A Living Laboratory™, Human-Centered, and Ever Evolving City™ - Woven City serves as a test course for mobility to fulfill our purpose of well-being for all.We do this by bringing together a diverse community of people with a shared passion for the future of mobility to co-create, develop and refine innovative products and services. This cross-section of social infrastructure, mobility, and people provides a unique opportunity for inventors, residents and visitors to interact seamlessly with new technologies throughout daily life in an environment that emulates a real city.Toyota Woven City is aiming to have a fully connected ecosystem powered by carbon free energy (\"CFE\") including renewable power and hydrogen to be built at the base of Mt. Fuji in Japan.This team is responsible for launching and maintaining a hydrogen demonstration environment at Woven City and conducting demonstrations outside Woven City, collaborating with various stakeholders, and developing business models and strategies. You will report to the head of this team, Sub-Lead of Hydrogen Product Management Energy. For more information about Woven City, please visit: https://www.woven-city.global/ ## WHO ARE WE LOOKING FOR? We are looking for those who are passionate about promoting hydrogen by leveraging Woven City’s incomparable demonstration environment.As a data analyst for the hydrogen ecosystem solutions team, you will be responsible for analyzing data from various hydrogen demonstrations and sources and deriving insights to support the development of hydrogen products and businesses. We are looking for analysts with a passion about developing hydrogen products/business models within Woven City and beyond. With hands-on experiences and deep knowledge about data analytics, you are expected to distill large volumes of data into useful insights to develop hydrogen products and businesses. You are also expected to develop visualizations and reports to support communications with various stakeholders. You are also expected to work closely with specialists from various disciplines to derive insights and support data usability across the team.We are looking for someone with data analysis experience in energy or engineering related fields with strong ownership and entrepreneurial drive. A collaborative mindset is important to work with various stakeholders across departments and external companies. ## RESPONSIBILITIES Leverage expertise in data modeling and analytics to distill Big data (large volume, variety etc.) into meaningful insights Considering stakeholder business objectives and user experience create impactful visualizations and reports from data analysis Build interactive map based visualizations of data (e.g., using GIS, HTML, CSS, JavaScript or related software) Manipulate data into useable formats and analyze trends, patterns to create business insights (working with business / subject matter experts) Support collection of data (working with data engineers/software engineers and subject matter experts) by identifying priority datasets for meaningful analysis Analyze operational data from various hydrogen demonstrations to derive learnings and business insights Work with cross-functional teams, various service project owners, third parties, software and hardware engineers to define questions for analysis and implementation of insights from analysis ## MINIMUM QUALIFICATIONS Bachelor’s degree in information engineering, data science, computer science, mechanical engineering, electrical engineering, a related technical field, or equivalent practical experience 3-5+ years of experience in data analytics / data science Expertise in data collection and manipulation (e.g., SQL, python etc.) Expertise in statistics and trend analysis Expertise with BI tools (e.g., Power BI, Tableau) Familiarity with energy demand/supply topics (e.g., hydrogen economy, oil & gas, renewables, energy demand/supply balancing and forecasting, or other related fields) Proficiency in business level Japanese and advanced English with a passion to develop English skill ## NICE TO HAVES Master’s degree in information engineering, data science, computer science, mechanical engineering, electrical engineering, a related technical field, or equivalent practical experience Knowledge about cloud services Experience in the software product development for the energy management system, electric power systems Ability to learn new domains as needed Experience in UI/UX design and front-end web development Professional experience in web application development using Python(Django, Flask, FastAPI etc.) or Java(Spring etc.) with DB(PostgreSQL, Oracle, MySQL, etc.) Ability to create design documents for Web APIs, databases, and batch processing Proficiency in business level English Native level Japanese ## Additional Information ========================================================================= Important Points ・All interviews will be arranged via Google Meet, unless otherwise stated. ・The same job descriptions are available in both English and Japanese; therefore, we kindly ask that you apply to only one version. ・We kindly request that you submit your resume in English, if possible. However, Japanese resumes are also acceptable. Please note that, depending on the English proficiency requirements of the role, we may request an English version of your resume later in the process. WHAT WE OFFER ・Competitive Salary - Based on experience ・Work Hours - Flexible working time ・Paid Holiday - 20 days per year (prorated) ・Sick Leave - 6 days per year (prorated) ・Holiday - Sat & Sun, Japanese National Holidays, and other days defined by our company ・Japanese Social Insurance - Health Insurance, Pension, Workers’ Comp, and Unemployment Insurance, Long-term care insurance ・Housing Allowance ・Retirement Benefits ・Rental Cars Support ・In-house Training Program (software study/language study) Our Commitment ・We are an equal opportunity employer and value diversity. ・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.", "summaryDescription" : "Data Analyst, Hydrogen Ecosystem Solutions at Woven by Toyota. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and deploy machine learning models. Build and maintain data pipelines", "postedDate" : "2026-06-15T09:22:02.915", "createdAt" : "2026-06-15T09:22:02.915", "lastUpdated" : "2026-06-16T14:48:29.706", "ingestTimestamp" : "2026-06-16T03:26:26.844", "mongoId" : "6a306eabf292fd229cfe0fce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "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 modeling", "Statistical analysis", "Hydrogen ecosystem", "GCP Professional Data Engineer certification", "AWS Data Analytics certification", "Databricks Certified certification", "Dbt Certified certification", "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", "GCP", "Azure", "Tableau", "Power BI", "Looker" ], "skillCount" : 47, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 600.22003, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30511af292fd229cefa673", "title" : "Solutions Architect IV- Data and Analytics", "industry" : "IT", "salary" : { "min" : 85000.0, "max" : 135000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Solutions Architect IV in Bulgaria, adjusted for the technology industry and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T11:33:50.217", "fingerprint" : "1a58dd7bf18f2efdc2c046d8f3f4e1b90f08c87a7ddd6966c933a1be53219368", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/2b7d6fbe-231c-4004-828c-8606bceba0b0/apply", "externalId" : "2b7d6fbe-231c-4004-828c-8606bceba0b0", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Oracle Analytics Cloud, ETL, Power BI", "professionalSkills" : [ "Data modeling", "Data governance", "Self-service BI", "User access management", "Data quality processes", "ETL optimization", "System troubleshooting", "Project planning", "Stakeholder management" ], "hardSkillsList" : [ "Data ingestion", "Data transformation", "Reporting logic", "Data cleansing", "Reporting needs" ], "softSkillsList" : [ "Problem-solving" ], "hardSkills" : [ { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Reporting logic", "level" : "intermediate" }, { "name" : "Data cleansing", "level" : "intermediate" }, { "name" : "Reporting needs", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" } ], "majorSkills" : "Data architecture, Data analytics, Business intelligence", "majorSkillsList" : [ "Data architecture", "Data analytics", "Business intelligence" ], "coreResponsibilities" : "Develop and maintain stakeholder relationships, Ensure data and analytics solutions align with business, Enhance and maintain stability of OAC environments, Enhance and maintain performance of OAC environments, Enhance and maintain scalability of OAC environments, Design data ingestion strategies, Support data ingestion strategies, Establish data governance standards, Maintain data governance standards, Document data sources, Document transformations, Document reporting logic, Promote self-service BI adoption, Promote visualization best practices, Manage user access, Manage security, Manage provisioning for analytics platforms, Support data quality processes, Validate data, Cleanse data, Optimize ETL, Collaborate with business users, Collaborate with IT teams, Troubleshoot system issues, Deliver enhancements, Support reporting needs, Participate in SDLC processes, Participate in project planning, Participate in Agile ceremonies, Communicate status updates, Communicate risks, Contribute to dashboard development, Contribute to report creation, Contribute to migration efforts, Lift and shift OAC content into Power BI", "teamCollaboration" : "Cross-functional collaboration efforts; Business users; IT teams", "projectManagementSkills" : [ "Agile ceremonies", "Project planning", "SDLC processes" ], "domainKnowledge" : "Data lake architectures; Modern data warehouse architectures; Enterprise BI architectures", "domainList" : [ "data-lake-architectures", "modern-data-warehouse-architectures", "enterprise-bi-architectures" ], "domainSpecificKnowledge" : [ "Data lake architectures", "Modern data warehouse architectures", "Enterprise BI architectures" ], "toolProficiency" : [ "Oracle Analytics Cloud", "Power BI" ], "communicationSkills" : "Presentation; Stakeholder management; Explain analytical insights", "documentationSkills" : "Documentation of data sources; Documentation of transformations; Documentation of reporting logic", "problemSolvingSkills" : "Problem-solving abilities", "specialRequirements" : "Willingness to travel periodically", "qualificationsBasic" : "Bachelor's degree in Computer Science, Information Systems, Business Administration, or related field, 5+ years of experience in BI, data analytics, or data architecture roles, Experience with relational databases, Data modeling concepts, ETL processes, Flat file data integration, Deep understanding of data analytics platforms, Reporting frameworks, Enterprise BI architectures, Ability to translate business requirements into technical data solutions, Explain analytical insights in simple terms, Experience working with stakeholders to define priorities, Gather requirements, Deliver data-driven solutions, Knowledge of Agile/Scrum methodologies, Basic project management principles, Communication skills, Presentation skills, Stakeholder management skills", "qualificationsPreferred" : "Hands-on experience with Microsoft Power BI or similar data visualization tools, Familiarity with data lake concepts, Emerging modern data warehouse architectures", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Develop and maintain strong stakeholder relationships to ensure data and analytics solutions align with evolving business requirements and priorities. Enhance and maintain stability, performance, and scalability of existing Oracle Analytics Cloud (OAC) environments. Design and support data ingestion strategies for modern data lake architectures using ETL tools, flat file processing, and integration frameworks. Establish and maintain data governance standards, including documentation of data sources, transformations, and reporting logic. Promote self-service BI adoption and visualization best practices across the organization using OAC and Power BI platforms. Manage user access, security, and provisioning for analytics platforms, ensuring appropriate governance and compliance. Support data quality processes including validation, cleansing, and ETL optimization to ensure reliable reporting outputs. Collaborate with business users and IT teams to troubleshoot system issues, deliver enhancements, and support reporting needs. Participate in SDLC processes, project planning, and Agile ceremonies while ensuring timely communication of status updates and risks. Contribute to dashboard development, report creation, and migration efforts including the “lift and shift” of legacy OAC content into Power BI. Requirements: Bachelor’s degree in Computer Science, Information Systems, Business Administration, or related field. 5+ years of experience in BI, data analytics, or data architecture roles covering design, development, implementation, and support of enterprise analytics solutions. Strong experience with relational databases, data modeling concepts, ETL processes, and flat file data integration. Hands-on experience with Microsoft Power BI or similar data visualization tools strongly preferred. Deep understanding of data analytics platforms, reporting frameworks, and enterprise BI architectures. Strong ability to translate business requirements into technical data solutions and explain analytical insights in simple terms. Experience working with stakeholders to define priorities, gather requirements, and deliver data-driven solutions. Familiarity with data lake concepts and emerging modern data warehouse architectures. Knowledge of Agile/Scrum methodologies and basic project management principles. Strong communication, presentation, and stakeholder management skills across technical and non-technical audiences. Self-starter mindset with strong problem-solving abilities and ability to lead cross-functional collaboration efforts. Willingness to travel periodically as required. Benefits: Competitive base salary with performance-based incentive compensation. Comprehensive health coverage including medical, dental, and vision insurance. Life insurance, disability coverage, and additional voluntary benefit options. Immediate eligibility for 401(k) with employer matching contributions. Generous paid time off including 80 hours (10 days) of company holidays annually. Adoption benefits and family support programs. Inclusive work environment with equal opportunity employment practices. Exposure to modern data architecture transformation and enterprise BI modernization initiatives. ## 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" : "Solutions Architect IV- Data and Analytics. Skills: Data architecture, Data analytics, Business intelligence. Develop and maintain stakeholder relationships. Ensure data and analytics solutions align with business", "postedDate" : "2026-06-15T10:16:20.862", "createdAt" : "2026-06-15T10:16:20.862", "lastUpdated" : "2026-06-16T11:33:50.217", "ingestTimestamp" : "2026-06-16T03:20:53.708", "mongoId" : "6a30511af292fd229cefa673", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data ingestion", "Data transformation", "Reporting logic", "Data cleansing", "Reporting needs", "Problem-solving", "Data architecture", "Data analytics", "Business intelligence", "Data modeling", "Data governance", "Self-service BI", "User access management", "Data quality processes", "ETL optimization", "System troubleshooting", "Project planning", "Stakeholder management", "Agile ceremonies", "SDLC processes", "Data lake architectures", "Modern data warehouse architectures", "Enterprise BI architectures", "Oracle Analytics Cloud", "Power BI" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 596.2033, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "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" : 592.7372, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "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" : 591.75104, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "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. 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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. 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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" : 585.53595, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 26622, "totalPages" : 533, "hasNext" : true, "hasPrevious" : false } }

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