{ "count" : 19153, "data" : [ { "id" : "693c2b8070f0b99d5843f7ac", "title" : "Senior Data Scientist, Global Transformation + Insights, GREF – Global Transformation & Insights (GTI)", "company" : "Amazon.com Services LLC", "industry" : "Data Science, Science, finance", "salary" : { "min" : 143300.0, "max" : 247600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T01:41:24.102", "fingerprint" : "a0a8f86e735d71de6c80e70fe1a42ca720a6d9f2aca36de8d4616486288cc249", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3139174/apply", "externalId" : "e41ebd80-900e-47dc-9a86-cdc522c8d427", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, SAS, Matlab", "professionalSkills" : [ "Data science", "Business insights", "Customer insights", "Creative", "Communications" ], "hardSkillsList" : [ "Machine learning", "Statistics", "Deep learning", "System architecture", "Optimization", "System dynamics", "System analysis", "Statistical analysis", "Reliability analysis", "Electronic system design", "Decision making", "Quantitative analysis", "Data-driven recommendations", "Analytic products", "Scientific products", "Data science methodologies", "Data science tools" ], "softSkillsList" : [ "Ownership", "Think Big", "Mentors", "Partners" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "System architecture", "level" : "intermediate" }, { "name" : "Optimization", "level" : "intermediate" }, { "name" : "System dynamics", "level" : "intermediate" }, { "name" : "System analysis", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Reliability analysis", "level" : "intermediate" }, { "name" : "Electronic system design", "level" : "intermediate" }, { "name" : "Decision making", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Data-driven recommendations", "level" : "intermediate" }, { "name" : "Analytic products", "level" : "intermediate" }, { "name" : "Scientific products", "level" : "intermediate" }, { "name" : "Data science methodologies", "level" : "intermediate" }, { "name" : "Data science tools", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership" }, { "name" : "Think Big" }, { "name" : "Mentors" }, { "name" : "Partners" } ], "majorSkills" : "Data science, Machine learning, Statistics", "majorSkillsList" : [ "Data science", "Machine learning", "Statistics" ], "coreResponsibilities" : "Demonstrate advanced technical expertise, Provide scientific leadership, Provide technical leadership, Stay current with emerging technologies, Stay current with methodologies, Apply data science techniques, Solve business problems, Guide junior data scientists, Mentor junior data scientists, Share knowledge about scientific advancements, Contribute to technical growth, Work on complex projects, Work on high-impact projects, Influence data science strategy, Influence data science direction, Collaborate across teams, Drive data-driven decision making", "teamCollaboration" : "Collaborating on what else; Collaborating on how might we; Collaborating on how can help", "domainKnowledge" : "Real estate transaction; Space planning; Occupancy planning; Design and construction; Capital investment; Facility maintenance; Operations", "domainList" : [ "real-estate-transaction", "space-planning", "occupancy-planning", "design-and-construction", "capital-investment", "facility-maintenance", "operations" ], "domainSpecificKnowledge" : [ "Real estate transaction", "Space planning", "Occupancy planning", "Design and construction", "Capital investment", "Facility maintenance", "Operations" ], "communicationSkills" : "Communicating complex ideas", "innovationCreativity" : "Builders; Creators; Innovators", "problemSolvingSkills" : "Problem-solving capabilities; Isolate complex problems; Define complex problems; Resolve complex problems; Implement effective solutions; Implement efficient solutions", "qualificationsBasic" : "5+ years data querying languages, 5+ years scripting languages, 5+ years statistical/mathematical software, 4+ years data scientist experience, Bachelor's degree, Experience in machine learning, Experience in statistics, Experience in deep learning, Knowledge of system architecture, Knowledge of optimization, Knowledge of system dynamics, Knowledge of system analysis, Knowledge of statistical analysis, Knowledge of reliability analysis, Knowledge of electronic system design, Knowledge of decision making, Experience solving complex problems quantitatively, Experience developing actionable data-driven business recommendations, Experience building analytic data products, Experience building scientific data products, Experience leading teams, Experience influencing teams, Experience influencing organization, Experience managing teams, Experience managing team members, Experience coaching team members, Knowledge of existing technologies, Knowledge of developing technologies, Experience communicating complex ideas, Advanced proficiency across multiple data science disciplines, Foundation in data science methodologies, Foundation in data science tools", "qualificationsPreferred" : "Master's Degree with 4+ years relevant experience, Bachelor's Degree with 8+ years relevant experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Global Real Estate and Facilities (GREF) team provides real estate transaction expertise, business partnering, space & occupancy planning, design and construction, capital investment program management and facility maintenance and operations for Amazon’s corporate office portfolio across multiple countries. We partner with suppliers to ensure quality, innovation and operational excellence with Amazon’s business and utilize customer driven feedback to continuously improve and exceed employee expectations. Within GREF, the newly formed Global Transformation & Insights (GTI) team is responsible for Customer Insights, Business Insights, Creative, and Communications. We are a group of builders, creators, innovators and go getters. We are customer obsessed, and index high on Ownership. We Think Big, and move fast, and constantly challenge one another while collaborating on \"what else\", \"how might we\", and \"how can I help\". We celebrate the unique perspectives we each bring to the table. We thrive in ambiguity. The ideal Senior Data Scientist candidate thrives in ambiguous environments where the business problem is known, though the technical strategy is not defined. They are able to investigate and develop strategies and concepts to frame a solution set and enable detailed design to commence. They must have strong problem-solving capabilities to isolate, define, resolve complex problems, and implement effective and efficient solutions. They should have experience working in large scale organizations – where data sets are large and complex. They should have high judgement with the ability to balance the right data fidelity with right speed with right confidence level for various stages of analysis and purposes. They should have experience partnering with a broad set of functional teams and levels with the ability to adjust and synthesize their approaches, assumptions, and recommendations to audiences with varying levels of technical knowledge. They are mentors and strong partners with research scientists and other data scientists. Key job responsibilities - Demonstrate advanced technical expertise in data science - Provide scientific and technical leadership within the team - Stay current with emerging technologies and methodologies - Apply data science techniques to solve business problems - Guide and mentor junior data scientists - Share knowledge about scientific advancements with team members - Contribute to the technical growth of the organization - Work on complex, high-impact projects - Influence data science strategy and direction - Collaborate across teams to drive data-driven decision making Basic Qualifications: - 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 4+ years of data scientist experience - Bachelor's degree - Experience in machine learning, statistics, and deep learning - Knowledge of concepts like system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, electronic system design, and decision making - Experience solving complex problems quantitatively and develop actionable data-driven business recommendations - Experience in building analytic or scientific data products or solutions - Experience leading and influencing your team or organization, or experience managing teams - Experience managing and coaching team members - Knowledge of existing and developing technologies - Experience communicating complex ideas to technical and non-technical audiences - Advanced proficiency across multiple data science disciplines - Strong foundation in data science methodologies and tools Preferred Qualifications: - Master's Degree with 4+ years of relevant experience, OR - Bachelor's Degree with 8+ years of relevant experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Senior Data Scientist, Global Transformation + Insights, GREF – Global Transformation & Insights (GTI) at Amazon.com Services LLC. Skills: Data science, Machine learning, Statistics. Demonstrate advanced technical expertise. 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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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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. 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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" : 820.84, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Grocery" }, { "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. 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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. Inquiries about the status of an application or other non-accommodation matter will not receive a response.", "summaryDescription" : "Senior Manager, Practice Insights & Operations Transformation at Gibson Dunn", "postedDate" : "2026-06-14T20:12:37.910", "createdAt" : "2026-06-14T20:12:37.910", "lastUpdated" : "2026-06-16T03:35:16.887", "ingestTimestamp" : "2026-06-14T20:12:37.910", "mongoId" : "6a2ca54074d8ee00a09b56cd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 215000, "salaryAnnualMax" : 315000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "_score" : 804.05054, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Legal", "llmIndustryConfidence" : 0.92 }, { "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" : 801.8632, "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. 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Cross-functional; Multiple business functions; Multiple geographies; Sales organization; Account management; Retail; Amazon business partners", "domainKnowledge" : "Digital media; AdTech; Advertising; Digital advertising; Advertising measurement; Marketing mix modeling; Attribution frameworks; Statistical techniques; Machine learning", "domainList" : [ "digital-media", "adtech", "advertising", "digital-advertising", "advertising-measurement", "marketing-mix-modeling", "attribution-frameworks", "statistical-techniques", "machine-learning" ], "domainSpecificKnowledge" : [ "Digital media", "AdTech", "Advertising", "Digital advertising", "Advertising measurement", "Marketing mix modeling", "Attribution frameworks", "Statistical techniques", "Machine learning" ], "toolProficiency" : [ "SQL", "Python", "R", "SAS" ], "communicationSkills" : "Presentation skills; Storytelling; Executive presentations", "problemSolvingSkills" : "Solve complex problems; Translate analytical concepts", "outcomesObjectives" : "Deliver best return on investment", "qualificationsBasic" : "Bachelor's degree, 7+ years client-facing data analysis, 5+ years digital media/AdTech, Translate technical analyses, Data-driven storytelling, Presentation skills, Advertising measurement methodologies, Marketing mix modeling, Attribution frameworks, Advanced statistical techniques, Regression analysis, Segmentation, Machine learning, Proficiency in SQL, Analytical tools fluency", "qualificationsPreferred" : "Advanced degree (MBA, Master's), Digital media planning experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Ads operates at the intersection of e-commerce and advertising, offering a rich array of advertising solutions. We partner with advertisers to reach Amazon customers across our owned and operated sites like Prime Video and Twitch, and on other high-quality sites across the web, and on devices. We are currently looking for a highly skilled and motivated Insights and Measurement Lead to help scale our growing advertising business. The Insights and Measurement Lead is a key member of the sales organization at Amazon Ads, taking a consultative approach, building deep relationships with advertisers, sales, account management, retail, and other Amazon business partners to analyze and measure the success of advertisers' performance on Amazon. Key job responsibilities • Leverage Amazon's proprietary data, third-party research, and Ad measurement solutions to generate actionable insights for C-suite marketing leaders. • Own senior-level measurement and insights customer relationships and partner across strategic learning objectives that influence business decision-making • Present findings consultatively, collaborating with internal teams to deliver comprehensive solutions. • Navigate ambiguity, solve complex problems, and translate analytical concepts into actionable recommendations. • Collaborate cross-functionally to influence sales and marketing initiatives across multiple business functions and geographies. • Educate stakeholders on Amazon's insights and measurement offerings through learning sessions, documentation, and whitepapers. • Advocate for data-driven decision-making, driving thought leadership and encouraging advertisers to act on recommendations. A day in the life On a daily basis, Insights and Measurement Lead activities include analyzing and measuring metrics of success for an advertiser business or category, developing data-driven insights and recommendations for executive client leadership, and communicating recommendations in a clear and compelling fashion. The strategic and consultative digital advertising expertise of the Insights and Measurement Lead is critical to delivering the best return on investment for our customers. About the team The Analytics & Insights (A&I) organization leverages Amazon's data to develop actionable insights for advertisers. By providing insights and measurement solutions, A&I enhances marketers' decision-making processes, measurably improving their success on and off Amazon. Basic Qualifications: - Bachelor's degree with 7+ years of experience in client-facing data analysis roles, including 5+ years in digital media/AdTech consulting or advertising with a top agency or brand. - Expertise in translating technical analyses into actionable insights for diverse stakeholders, with excellent data-driven storytelling and presentation skills. - Demonstrated proficiency in advertising measurement methodologies, marketing mix modeling, and attribution frameworks. - Strong understanding of advanced statistical techniques, including regression analysis, segmentation and machine learning. - Proficiency in SQL for complex data manipulation and metric creation, along with fluency in analytical tools (Python, R, SAS, etc.). - Please apply with resume in English Preferred Qualifications: - Advanced degree (MBA, Master's) in Economics, Marketing, Statistics, Advertising, or Business; or equivalent Digital media planning experience. - Experience with advertising publishers, marketing/creative agencies, and campaign management. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Insights and Measurement Lead at Amazon Servicos de Varejo do Brasil Ltda.. Skills: Insights generation, Measurement strategy, Client relationships. Leverage data for insights. Generate actionable insights", "postedDate" : "2026-06-13T07:15:18.470", "createdAt" : "2026-06-13T07:15:18.470", "lastUpdated" : "2026-06-15T01:15:38.899", "ingestTimestamp" : "2026-06-13T07:15:18.470", "mongoId" : "68c2e42bf8b1b0376634c6c9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3076330/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Metric creation", "Statistical techniques", "Regression analysis", "Segmentation", "Machine learning", "Marketing mix modeling", "Attribution frameworks", "Advertising measurement", "Consultative approach", "Navigate ambiguity", "Solve complex problems", "Thought leadership", "Insights generation", "Measurement strategy", "Client relationships", "Sales", "Account management", "Retail", "Business partners", "Measurement solutions", "Advertising solutions", "Digital advertising", "Return on investment", "Digital media", "AdTech", "Advertising", "SQL", "Python", "R", "SAS" ], "skillCount" : 31, "jobCategory" : "marketing", "dataQualityScore" : 1.0, "_score" : 786.8999, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "68b706997fc9a711f0f6fe69", "title" : "Senior Data Analyst, Ads, Sales Enablement & Insights", "company" : "Amazon Advertising", "industry" : "Data Science, Business Intel Engineer, Advertising", "salary" : { "min" : 2500000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Data Analyst in the Technology industry in Bengaluru, India, adjusted for seniority and company size." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T04:24:06.134", "fingerprint" : "54b69ad1004c05cea3d218d7f19b57a3699b2b68dd740fbe67e230d52c94e0d7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3051447/apply", "externalId" : "301d7cb9-36c7-4ad3-b81d-545f8a8790b2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, AI", "professionalSkills" : [ "Business analysis", "Data science", "Business intelligence", "Sales Enablement", "Insights generation", "Advertising initiatives" ], "hardSkillsList" : [ "Data manipulation", "Automation", "Modeling", "Quality control", "Scaling insights" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "Modeling", "level" : "intermediate" }, { "name" : "Quality control", "level" : "intermediate" }, { "name" : "Scaling insights", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Data analysis, Insights, Automation", "majorSkillsList" : [ "Data analysis", "Insights", "Automation" ], "coreResponsibilities" : "Lead critical analytical projects, Shape insights and recommendations, Understand customer advertising problems, Leverage Amazon's first party insights, Leverage third party insights, Identify potential insights solutions, Automate and scale insights, Mentor junior employees, Play active role in maintaining team culture, Collaborate with senior stakeholders, Help advertisers and agencies optimize investment, Grow investment on Amazon Ads, Create and enhance insights, Analyze complex datasets, Identify scaling opportunities, Design and implement quality control processes, Identify opportunities to leverage AI and automation, Maintain documentation and best practices", "teamCollaboration" : "Global stakeholder exposure; Collaborate with engineering teams; Collaborate with senior stakeholders", "domainKnowledge" : "Digital advertising; Media analytics; Ecommerce advertising", "domainList" : [ "digital-advertising", "media-analytics", "ecommerce-advertising" ], "domainSpecificKnowledge" : [ "Digital advertising", "Media analytics", "Ecommerce advertising" ], "communicationSkills" : "Written communication; Verbal communication; Data-driven narratives", "documentationSkills" : "Maintain documentation", "innovationCreativity" : "Leverage AI and automation", "problemSolvingSkills" : "Translate data into insights; Identify scaling opportunities", "qualificationsBasic" : "Bachelor's degree in quantitative discipline, 6+ years of experience in business analysis, data science, or business intelligence, Expert-level SQL skills, Programming skills in Python or R, Business acumen, Experience translating data into insights, Excellent written and verbal communication skills, Global stakeholder exposure, Collaborate with engineering teams, Use SQL and Python to create and enhance insights, Analyze complex datasets, Identify scaling opportunities, Design and implement quality control processes, Identify opportunities to leverage AI and automation, Maintain documentation and best practices", "qualificationsPreferred" : "Master's degree in computer science, Data Science, Engineering, or related field, Prior experience in digital advertising or media analytics, Knowledge of experimentation frameworks, Knowledge of statistical modeling techniques, Experience influencing senior decision-makers", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Advertising exists at the intersection of marketing and ecommerce and offers advertisers a rich array of innovative advertising solutions across Amazon owned properties, as well as third party properties Amazon operates. We believe that advertising, when done well, can greatly enhance the value of the customer experience and generate a positive return on investment for our advertising partners. The Analytics & Insights (A&I) organization develops actionable insights using Amazon’s unique data to influence how advertisers promote their businesses. Our insights enhance their marketing decision-making, leading to them to be measurably more successful with Amazon. The A&I organization consists of a variety of different Practices, which are groups that focus on different approaches to create these insights. Key job responsibilities We are looking for a Senior Analyst to lead critical analytical projects in support of Amazon’s Global Advertising organization. This individual will play a strategic role in shaping insights and recommendations that impact key advertising initiatives. The ideal candidate will be able to understand the customer's advertising problems and leverage Amazon's first party insights to find a solution. The candidate will also be able to leverage third party insights (when necessary). The candidate will identify potential insights solutions to automate and scale. They will help mentor junior employees on the team and play an active role in maintaining team culture and morale. This is a highly visible role, requiring collaboration with senior stakeholders in globally. About the team We are the Analytics & Insights team within the global Amazon Ads business. We solve problems for our sales teams, advertisers and partners by leveraging Amazon's rich first party insights and partnering with third party vendors (if needed). We help advertisers and agencies optimize and grow their investment on Amazon Ads. Basic Qualifications: - Bachelor’s degree in a quantitative discipline (e.g., Engineering, Math) - 6+ years of experience in business analysis, data science, or business intelligence - Expert-level SQL skills and experience manipulating large datasets - Strong programming skills in Python or R for automation and modeling - Strong business acumen and experience in translating data into insights - Excellent written and verbal communication skills with global stakeholder exposure - Collaborate with engineering teams to implement scalable solutions - Use SQL and Python to create and enhance insights, analyzing complex datasets to identify scaling opportunities - Design and implement quality control processes for scaled insights - Identify opportunities to leverage AI and automation in content creation - Maintain documentation and best practices for insights scaling Preferred Qualifications: - Master’s degree in computer science, Data Science, Engineering, or related field - Prior experience in digital advertising or media analytics - Knowledge of experimentation frameworks and statistical modeling techniques - Experience influencing senior decision-makers through data-driven narratives Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Senior Data Analyst, Ads, Sales Enablement & Insights at Amazon Advertising. Skills: Data analysis, Insights, Automation. Lead critical analytical projects. 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Present to senior stakeholders", "domainKnowledge" : "Energy sector; Fuel supply; Energy solutions; Convenience retail; Infrastructure; Trading; Shipping; Financial reporting", "domainList" : [ "energy-sector", "fuel-supply", "energy-solutions", "convenience-retail", "infrastructure", "trading", "shipping", "financial-reporting" ], "domainSpecificKnowledge" : [ "Energy sector", "Fuel supply", "Energy solutions", "Convenience retail", "Infrastructure", "Trading", "Shipping", "Financial reporting" ], "toolProficiency" : [ "Excel", "SQL", "DAX", "Power BI", "SAP", "Confluence" ], "communicationSkills" : "Present insights; Compelling narratives", "documentationSkills" : "Document processes; Reporting standards", "continuousLearning" : "LinkedIn Learning; Tailored training solutions", "problemSolvingSkills" : "Analytical skills; Problem-solving skills; Synthesise data sources", "outcomesObjectives" : "Drive decisions across Supply, Trading and Commercial; Influence performance and growth", "qualificationsBasic" : "Minimum 5 years’ experience, Tertiary qualifications in Finance, Accounting, Marketing, Engineering or equivalent experience, Advanced skills in Excel, SQL, DAX, and Power BI, Experience with SAP, Python experience essential", "qualificationsPreferred" : "Financial reporting environments experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "At Ampol, we believe in the Power of Us - the extraordinary power of people to connect, act, and make a difference. As a leading energy company operating across Australia, New Zealand, Singapore and from the United States, our work spans fuel supply, energy solutions, convenience retail, infrastructure, trading and shipping. Every role at Ampol plays a part in something bigger - powering progress for our customers, communities, and people. Your career here is yours to shape. We back our people with real opportunities, the tools to grow, and a culture that rewards ownership and initiative. Whether you’re deepening your expertise or taking on something new, we’ll support you to power a career that works for you. We’re building a workplace where everyone feels welcome, respected, and valued - because when people are free to be themselves, powerful things happen. About the role The Commercial Insights Analyst sits at the intersection of data, operations and strategy—turning complex financial and commercial inputs into clear, actionable insights that drive decisions across Supply, Trading and Commercial. This is a hands-on role for someone who can dive into the detail while keeping a clear view of the bigger picture: building and refining integrated models, developing robust data pipelines (leveraging Python for automation, analysis and scalability), and delivering sharp visualisations and reporting that cut through noise. You’ll work cross-functionally to answer critical business questions, translating data into clear, compelling narratives that influence performance and growth—combining strong technical execution with the commercial judgement to focus on what matters. This is a permanent, full-time role based in our Alexandria headquarters with a hybrid working arrangement. Key responsibilities * Analyse financial and commercial datasets to deliver actionable insights and recommendations * Validate and investigate enterprise integrated value and EBIT data for accuracy and integrity * Design and develop P&L and EBIT faceplates aligned to organisational structures * Build value-tree profitability drivers across multiple business lenses * Develop, enhance and maintain financial models, data cubes and Power BI reports * Support monthly reporting cycles and dashboard updates for F&I Commercial teams * Present insights to senior stakeholders to support strategic decision-making * Deliver ad-hoc analysis and reports to tight deadlines * Document processes and reporting standards in Confluence Qualifications & Experience * Minimum 5 years’ experience in commercial analysis or finance-related roles * Tertiary qualifications in Finance, Accounting, Marketing, Engineering or equivalent experience * Advanced skills in Excel, SQL, DAX, and Power BI, with proven hands-on experience * Strong experience with SAP and financial reporting environments * Ability to synthesise multiple data sources into clear business insights * Excellent analytical, problem-solving and stakeholder engagement skills * Experience working cross-functionally in fast-paced, complex environments * Python experience essential Benefits * Our total remuneration is competitive. This is across base salary, car allowance, a company performance incentive, employee share offers and a 25% discount on Fuel for two privately used cars! * We are flexible. Many of our teams have embraced hybrid work, balancing time spent remote working, with time spent at an office to connect and work together where it adds value. * Remote Working: Support for up to 3 months remote international working (conditional to 5 days paid leave for every 30 days of remote work). * We value recognition. We have an internal recognition platform amplifying the achievements of those who do great work and demonstrate our capabilities and values. * Career development and learning opportunities including LinkedIn Learning and other tailored training solutions. * Baby Care Package - financial and flexible support for parents transitioning back to work. * Need some wheels? Novated Lease options are available. * Invest in your future with the Employee Share Scheme * Leave Options – Flexible leave options include generous annual leave, optional additional purchased leave and wellbeing days throughout the year. * Care for your Community. Spend one paid day a year volunteering with one of our Ampol Foundation partners. Want to take your career to the next level? Apply today. ## Additional Information By clicking apply, you confirm you have read and agree to our [Ampol Recruitment Privacy Collection Statement](https://c.smartrecruiters.com/sr-company-attachments-prod-aws-dc9/68397163321cc03b6a5d240c/e4090605-2b96-49c6-9240-9213d28366f2?r=s3-ap-southeast-2). We’re an equal opportunity workplace. We not only embrace diversity and inclusion; we celebrate what makes you unique. We welcome applications from people of all ages, cultural backgrounds, and diverse sexualities and genders (including if you identify as transgender). We also highly encourage Aboriginal and Torres Strait Islander peoples to apply for roles with Ampol.", "summaryDescription" : "COMMERCIAL INSIGHTS ANALYST at Ampol. Skills: Commercial insights, Financial modeling, Data analysis, Reporting. Analyze financial and commercial datasets. Deliver actionable insights and recommendations", "postedDate" : "2026-06-12T05:02:17.000", "createdAt" : "2026-06-14T07:21:47.370", "lastUpdated" : "2026-06-15T12:45:59.789", "ingestTimestamp" : "2026-06-14T07:21:47.370", "mongoId" : "6a2caaaf74d8ee00a09ca053", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Financial modeling", "Data analysis", "Profitability drivers", "Value tree analysis", "EBIT data validation", "Commercial insights", "Reporting", "Commercial analysis", "Data pipelines", "Stakeholder engagement", "Energy sector", "Fuel supply", "Energy solutions", "Convenience retail", "Infrastructure", "Trading", "Shipping", "Financial reporting", "Excel", "SQL", "DAX", "Power BI", "SAP", "Confluence" ], "skillCount" : 24, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 772.6814, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.95 }, { "id" : "6a16403158b93c861e9bc85f", "title" : "Manager, Data & AI Transformations", "company" : "TELUS", "industry" : "Technology", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager, Data & AI Transformations in Toronto, Canada, adjusted for seniority and industry." }, "location" : "Toronto, ON", "locations" : [ "Toronto", "ON" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T22:59:04.919", "fingerprint" : "76a8d30ad0b1b9b794ff840b1ea046933fe071484c1147616a7f415e0e3bd44f", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://telus.breezy.hr/p/609c30dd6801-manager-data-ai-transformations", "externalId" : "609c30dd6801", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "43.6534817,-79.3839347" }, { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "49.2608724,-123.1139520" }, { "city" : "Montreal", "state" : "Quebec", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "45.5031824,-73.5698065" }, { "city" : "Calgary", "state" : "Alberta", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "51.0456064,-114.0575410" }, { "city" : "Edmonton", "state" : "Alberta", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "53.5462055,-113.4912410" } ], "locationText" : "Toronto, Ontario, Canada; Vancouver, British Columbia, Canada; Montreal, Quebec, Canada; Calgary, Alberta, Canada; Edmonton, Alberta, Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "hardSkillsList" : [ "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Data modelling" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "ML/AI", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Analytics engineering", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" } ], "majorSkills" : "Data transformations, Data science, AI", "majorSkillsList" : [ "Data transformations", "Data science", "AI" ], "coreResponsibilities" : "Drive profitable growth", "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "qualificationsBasic" : "5+ years experience, SQL proficiency, Required degrees in Statistics, CS, Maths", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Location : Toronto, Vancouver, Montreal, Calgary, Edmonton (Hybrid Role)Our team and what we’ll accomplish together The TELUS Business Solutions (TBS) organization is dynamic, fast-paced, and entrepreneurial. Together, the team is responsible for driving profitable growth within a key growth segme", "summaryDescription" : "Manager, Data & AI Transformations at TELUS. Skills: Data transformations, Data science, AI. Drive profitable growth", "createdAt" : "2026-06-14T21:53:59.317", "lastUpdated" : "2026-06-15T22:59:04.919", "ingestTimestamp" : "2026-06-14T21:53:59.317", "mongoId" : "6a16403158b93c861e9bc85f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Data modelling", "Data transformations", "Data science", "AI", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 767.19934, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c94e874d8ee00a098be08", "title" : "Analista Pleno de Analytics e Data Insights", "company" : "Getnet", "industry" : "FinTech", "salary" : { "min" : 100000.0, "max" : 160000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Analytics and Data Insights Analyst in São Paulo, Brazil, adjusted for the FinTech industry and full-time employment." }, "location" : "São Paulo, Brazil", "locations" : [ "São Paulo", "Brazil" ], "timestamp" : "2026-06-15T11:33:27.122", "fingerprint" : "d3625b69d11ef142c6dc896ea8273616389743b754964ca796f098f0899acc90", "source" : "greenhouse", "language" : "pt", "applyUrl" : "https://job-boards.eu.greenhouse.io/getnet/jobs/4880672101", "externalId" : "4880672101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "São Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "São Paulo, Brazil", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Power BI", "professionalSkills" : [ "Data analysis", "Data modeling", "Data segmentation" ], "hardSkillsList" : [ "Data manipulation", "Performance analysis", "Business intelligence" ], "hardSkills" : [ { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Performance analysis", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" } ], "majorSkills" : "Data Insights, Analytics, SQL, Power BI", "majorSkillsList" : [ "Data Insights", "Analytics", "SQL", "Power BI" ], "domainKnowledge" : "Payment methods; Banking; Fintech; Pix; Tap on Phone; Payment link; PAT; Customer journey; Product funnels", "domainList" : [ "payment-methods", "banking", "fintech", "pix", "tap-on-phone", "payment-link", "pat", "customer-journey", "product-funnels" ], "domainSpecificKnowledge" : [ "Payment methods", "Banking", "Fintech", "Pix", "Tap on Phone", "Payment link", "PAT", "Customer journey", "Product funnels" ], "toolProficiency" : [ "Power BI" ], "communicationSkills" : "Clear presentation; Objective presentation", "documentationSkills" : "Document concepts; Document metrics; Document premises", "continuousLearning" : "Language learning platform; LinkedIn Learning access; O'Reilly access", "problemSolvingSkills" : "Problem-solving profile; Autonomy in analysis", "qualificationsBasic" : "Solid SQL knowledge, Programming logic knowledge, Power BI dashboard experience, Large data volume manipulation, Clear communication, Objective presentation, Analytical profile, Organized profile, Problem-solving profile, Autonomy in analysis, Hands-on profile, Strategic profile", "qualificationsPreferred" : "Payment methods experience, Banking experience, Fintech experience, Pix knowledge, Tap on Phone knowledge, Payment link knowledge, PAT knowledge, Experimentation notions, A/B testing notions, Profitability indicators experience, Monetization indicators experience, Commercial efficiency indicators experience, Customer journey analysis experience, Product funnel analysis experience, Python knowledge, R knowledge", "workSiteFlexibility" : "Hybrid", "rawDescription" : "✨ Seu talento impulsiona o nosso futuro A Getnet é uma empresa global de tecnologia especializada em soluções de pagamento para o comércio. Fundada no Brasil e presente na América Latina e na Península Ibérica, apoiamos mais de 1,3 milhão de comerciantes com serviços completos — da maquininha ao e-commerce. Fazemos parte da PagoNxt, a fintech global do Grupo Santander, e atuamos como um hub de adquirência com forte presença em Espanha, Portugal, Brasil, México, Chile, Argentina e Uruguai. Nossa missão é clara: simplificar os pagamentos com inovação, segurança e escala, ajudando negócios de todos os tamanhos a crescer com agilidade. Oferecemos uma plataforma unificada que integra hardware, software, prevenção à fraude, adquirência, conciliação e serviços financeiros — tudo em um só ecossistema, para que nossos clientes possam focar no crescimento do seu negócio. Fazer parte da Getnet é se juntar a uma empresa que combina a inovação de uma fintech com a solidez de um banco global. Imagine your future. Care for your career. Simplify your journey. Isso significa que você terá a chance de construir soluções de impacto, crescer com oportunidades reais de desenvolvimento e evoluir em uma cultura que valoriza bem-estar, inclusão e clareza. Combinamos flexibilidade, autonomia e colaboração global — para que você possa focar no que importa, se conectar com propósito e ajudar a moldar o futuro. Aqui, você vai encontrar espaço para crescer, oportunidades reais para liderar e uma cultura onde todas as pessoas pertencem e contribuem. ✨ Se você quer fazer parte da próxima geração de soluções financeiras, este é o lugar certo. Já te imagina sendo Nxter? Na Getnet, estamos buscando uma pessoa para a vaga de Analista Pleno de Analytics e Data Insights para se juntar ao nosso time em São Paulo. \uD83D\uDCCCO que você vai fazer Construir, atualizar e evoluir dashboards executivos e operacionais. Criação e manutenção de painéis para acompanhamento dos produtos. Acompanhar indicadores por produto, canal, segmento, região e perfil de cliente. Realizar análises de performance dos produtos, identificando variações, tendências, oportunidades e possíveis causas de crescimento ou queda. Apoiar a gestão dos funis de aquisição, ativação, uso, retenção e monetização dos produtos. Identificar gargalos na jornada do cliente e propor oportunidades de otimizaçã o. Modelagem de dados e segmentaçã o. Criação de cohorts e análises por comportamento. Apoiar as áreas de produto e negócio com análises estruturadas e recomendações baseadas em dados. Garantir consistência básica das informações utilizadas em dashboards e relatórios. Documentar conceitos, métricas e premissas utilizadas nas análises. ✅ O que buscamos em você Experiência prévia com Analytics, BI, Dados ou áreas correlatas. Conhecimento sólido em SQL e lógica de programaçã o. Experiência em construção de dashboards em Power BI. Capacidade de manipulação de grandes volumes de dados. Boa capacidade de comunicação para apresentar análises de forma clara e objetiva. Perfil analítico, organizado e orientado à resolução de problemas. Capacidade de atuar com autonomia em análises. Perfil hands-on + estratégico. ✅ O que pode contar pontos a mais Experiência em meios de pagamento, bancos ou fintechs. Conhecimento em produtos como Pix, Tap on Phone, Link de pagamento, PAT. Noções de experimentação (A/B test). Familiaridade com indicadores de rentabilidade, monetização ou eficiência comercial. Experiência com análise de jornada do cliente ou funis de produto. Conhecimento em Python/R (plus). \uD83C\uDFAF O que oferecemos \uD83E\uDE7A Assistência médica \uD83E\uDDB7 Assistência odontológica \uD83E\uDD73 Day off de aniversário \uD83D\uDE91 Seguro de vida \uD83D\uDC89 Campanha de vacinação anual \uD83D\uDE8C VT \uD83C\uDF5D VR/VA \uD83D\uDCB0 Bônus anual \uD83D\uDC76 Auxílio creche \uD83C\uDF85 Vale natalino \uD83E\uDD30 Extensão dos períodos de licença maternidade e paternidade \uD83E\uDDE0 Programa de Apoio Pessoal Especializado (PAPE) \uD83C\uDF0E Plataforma Ástex: recurso gratuito para você aprender um novo idioma (inglês, espanhol, francês, italiano, alemão ou português) \uD83D\uDCDA Acesso a uma plataforma de learning conectada a todos os conteúdos do LinkedIn Learning e o'Reilly ♨️ Possibilidade de contratação de empréstimos pessoais com juros menores que os de mercado \uD83D\uDCEC Seguinte passo Candidate-se e se você conhece alguém que possa estar procurando por essa oportunidade, compartilhe.", "summaryDescription" : "Analista Pleno de Analytics e Data Insights at Getnet. Skills: Data Insights, Analytics, SQL, Power BI", "postedDate" : "2026-06-14T01:22:25.107", "createdAt" : "2026-06-14T01:22:25.107", "lastUpdated" : "2026-06-15T11:33:27.122", "ingestTimestamp" : "2026-06-14T01:22:25.107", "mongoId" : "6a2c94e874d8ee00a098be08", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data manipulation", "Performance analysis", "Business intelligence", "Data Insights", "Analytics", "SQL", "Power BI", "Data analysis", "Data modeling", "Data segmentation", "Payment methods", "Banking", "Fintech", "Pix", "Tap on Phone", "Payment link", "PAT", "Customer journey", "Product funnels" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 760.7463, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a486d74d8ee00a05df69c", "title" : "Senior Data Analytics Engineer - Data Insights", "company" : "Appfire", "salary" : { "min" : 150000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Analytics Engineer in the Technology industry in the United States, adjusted for seniority and company size." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-14T09:53:17.771", "fingerprint" : "81d513fab4daf98e2ac74e286b2af700c159e968d9cdfc20b945f85f0846499e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/appfire/jobs/4702169005", "externalId" : "4702169005", "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" }, { "city" : "Tel Aviv", "country" : "Israel", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "32.0852997,34.7818064" }, { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Chicago, Illinois, United States; Tel Aviv, Israel; United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, DBT, Snowflake, JSON", "professionalSkills" : [ "Data modeling", "Metric development", "Query optimization", "Data wrangling", "Stakeholder management", "Expectation setting", "Prioritization", "Development", "Delivery" ], "hardSkillsList" : [ "Data quality", "Impactful analytics engineering", "Self service analytics", "Advanced analytics", "Semantic layers", "Metrics layers", "Data warehousing concepts", "Problem-solving", "Analytical skills", "Project management", "Technical concepts explanation" ], "softSkillsList" : [ "Continuous learner", "Excellent communication", "Documentation skills" ], "hardSkills" : [ { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Impactful analytics engineering", "level" : "intermediate" }, { "name" : "Self service analytics", "level" : "intermediate" }, { "name" : "Advanced analytics", "level" : "intermediate" }, { "name" : "Semantic layers", "level" : "intermediate" }, { "name" : "Metrics layers", "level" : "intermediate" }, { "name" : "Data warehousing concepts", "level" : "intermediate" }, { "name" : "Problem-solving", "level" : "intermediate" }, { "name" : "Analytical skills", "level" : "intermediate" }, { "name" : "Project management", "level" : "intermediate" }, { "name" : "Technical concepts explanation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Continuous learner" }, { "name" : "Excellent communication" }, { "name" : "Documentation skills" } ], "majorSkills" : "Data modeling, DBT, SQL, Python", "majorSkillsList" : [ "Data modeling", "DBT", "SQL", "Python" ], "coreResponsibilities" : "Understand decision needs, Interface with Analytics Engineers, Interface with Data Engineers, Interface with Data Analysts, Interface with Business Partners, Architect data models, Build data models, Launch data models, Architect data pipelines, Build data pipelines, Launch data pipelines, Leverage DBT, Leverage Snowflake, Design metrics, Implement metrics, Design dimensions, Implement dimensions, Define best practices on metric development, Define best practices on dimension development, Define best practices on data model development, Share best practices on metric development, Share best practices on dimension development, Share best practices on data model development", "teamCollaboration" : "Analytics Engineers; Data Engineers; Data Analysts; Business Partners; Fellow Analytics Engineers; Cross-functional teams", "projectManagementSkills" : [ "SDLC", "Stakeholder management", "Expectation setting", "Prioritization", "Development", "Delivery" ], "domainKnowledge" : "Data warehousing concepts; Metrics layers; Semantic layers; Cloud Technologies", "domainList" : [ "data-warehousing-concepts", "metrics-layers", "semantic-layers", "cloud-technologies" ], "domainSpecificKnowledge" : [ "Data warehousing concepts", "Metrics layers", "Semantic layers", "Cloud Technologies" ], "toolProficiency" : [ "DBT", "Snowflake", "GIT", "BitBucket" ], "communicationSkills" : "Explain technical concepts; Non-technical audience", "documentationSkills" : "Documentation skills; Technical concepts explanation", "continuousLearning" : "Continuous learner; Eye on industry trends; Eye on new technologies; Learning platform", "problemSolvingSkills" : "Problem-solving skills; Analytical skills", "outcomesObjectives" : "Achieve trusted data view; Achieve accessible data view; Achieve well-defined data view; Scale trust; Scale accountability; Scale decision impact; Power impactful analytic use cases; Enable decisions; Push boundaries of decisions; Evolve ecosystems to scale impact", "qualificationsBasic" : "5+ years relevant experience, Expert SQL skills, 3+ years Python experience, 3+ years DBT experience, Understanding data warehousing concepts, Efficient problem-solving skills, Analytical skills, Proven ability to succeed in collaborative environments, Proven ability to succeed in independent work environments, Proven experience managing concurrent complex data projects", "qualificationsPreferred" : "Experience with dbt implementation, Experience owning end to end SDLC, Full ownership of stakeholder management, Proficiency in source code management tools, Experience working with Cloud Technologies, Experience working with semi structured data formats, Experience building data solutions for future scale, 3+ years BI tools development experience, ML analytics engineering experience a plus, Marketing Analytics experience a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "At Appfire, we believe that great work happens when people get to choose how they work. After 20 years of creating software that empowers teams to break silos and collaborate seamlessly, we've learned that one size does not fit all. We’re a team of 800+ employees, working remotely across 28 countries. Our flagship products include: Appfire Flow, JXL, Comala Document Management, 7Pace Time Tracker, Jira Misc Workflow Extensions, and BigPicture. Here you can read some of our customer stories: https://appfire.com/resources/resource-library/customer-stories About the role: Appfire is seeking an experienced full-time Senior Analytics Engineer! In this role you will build, define and activate Appfire’s company-wide data asset (Snowflake) from ground up data sources. You will work with stakeholders across Appfire to integrate, test, connect, and build brand new data and metrics within our Snowflake metrics layers, achieving a trusted, accessible and well-defined view of information across the company. Our Analytics Engineers build metric foundations for reporting, analysis and experimentation, pushing the boundaries of decisions across the company under an aligned view of the world. They leverage their expertise in metric development, DBT, data modeling, SQL and Python. Using these skills you will transform data from raw data warehouse into data artifacts powering impactful analytic use cases (e. g. metrics, dashboards, adhoc analysis and self-service solutions) that enable and push the boundaries of decisions across the company. As an Analytics Engineer you will sit at the intersection of business and data, working collaboratively to enable and achieve meaningful outcomes by evolving our ecosystems to scale impact. We’re growing quickly and have a lot to accomplish. What You Will Do: Understand decision needs by interfacing with fellow Analytics Engineers, Data Engineers, Data Analysts and Business Partners Architect, build, and launch efficient & reliable data models and pipelines in partnership with Data Engineering, leveraging DBT and Snowflake Design and implement metrics and dimensions enabling self-service analysis and structured views of Appfire’s KPI’s that scale trust, accountability and decision impact Define and share best practices on metric, dimension, and data model development and definitions for analytics use cases What We Would Like to See: 5+ years of relevant industry experience Passion for high data quality and impactful analytics engineering work Expert SQL skills for data modeling and query optimization. Extensive experience with self service, advanced analytics, semantic and metrics layers 3+ Years of Experience with Python and DBT Strong understanding of data warehousing concepts and best practices. Efficient problem-solving and analytical skills Proven ability to succeed in both collaborative and independent work environments at a remote-work company Proven experience managing concurrent complex data projects from start to finish Continuous learner with an eye on industry trends and new technologies. Excellent communication and documentation skills with the ability to explain technical concepts to a non-technical audience. Ability to effectively leverage AI tools and techniques to enhance dbt development, increase efficiency, and strengthen documentation. Preferred Qualifications: Experience with dbt (Data Build Tool) and its implementation for data transformation and modeling. Proven experience with data wrangling and designing/developing experience owning end to end SDLC and implementation, with full ownership of stakeholder management and expectation setting, prioritization, development and delivery. Proficiency in source code management tools such as GIT, BitBucket, etc. Experience working with Cloud Technologies (AWS/GCP/Azure) Experience working with various semi structured data formats (ex. JSON) Experience building data solutions for future scale and analytics use-cases 3+ years of development experience on industry standard BI tools ML analytics engineering experience a plus Marketing Analytics experience a plus Equity Every Appfire team member is eligible for company equity, fostering a genuine sense of ownership and shared success as we continue to grow. Paid Time Off We believe in providing the flexibility needed to maintain a healthy work-life balance. Appfire offers: Unlimited Paid Time Off (PTO) 10 paid company holidays annually Health & Wellness Benefits Appfire provides a comprehensive benefits package designed to support employees and their families: Medical insurance fully covered by Appfire (100% employer-paid) Dental insurance with costs shared 50/50 between Appfire and employees Vision insurance Group Term Life Insurance Voluntary Life Insurance Critical Illness coverage Accident Insurance Long-Term Disability coverage Employee Assistance Program (EAP) In addition, employees are eligible for fitness and wellness reimbursements through our benefits provider. Learning & Development Grow your skills and advance your career through Appfire University, our custom on-demand learning platform designed to support continuous professional development. Community Impact & Volunteering Giving back is an important part of our culture. Every employee receives three fully paid volunteer days per year to participate in our Corporate Social Responsibility (CSR) initiatives and support local communities. Additional Benefits Appfire offers a range of programs to support employees both professionally and financially: Flexible Spending Accounts (FSA) Monthly remote-work stipend Dedicated Amazon account for ordering approved equipment and peripherals Competitive 401(k) plan with company matching to help build long-term financial security Flexibility That Fits How You Work Best This role is fully remote and can be performed anywhere within the United States. For those who prefer an office environment—or simply enjoy connecting with colleagues in person—Appfire also offers access to our offices in Boston, Burlington, and New York. Market recognition Appfire has been consistently recognized for company growth, culture, corporate social responsibility, and product excellence and has been included among the Deloitte Technology Fast 500, Inc. Best Workplaces, BuiltIn Best Places to Work, and Inc. 5000. Learn more about our accomplishments, which would not be possible without our team members, partners, and customers: https://appfire.com/awards. Equal Employer Opportunity (EEO) Appfire is an equal opportunity employer and does not discriminate based on race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, veteran status, or any other protected characteristic as defined by applicable law. Our commitment extends to all employment practices, including recruitment, hiring, training, promotion, compensation, benefits, and termination.", "summaryDescription" : "Senior Data Analytics Engineer - Data Insights at Appfire. Skills: Data modeling, DBT, SQL, Python. Understand decision needs. 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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" : 753.80444, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2a483974d8ee00a05de328", "title" : "FP&A Analyst - Data Insights", "company" : "Datadog", "industry" : "Technology", "salary" : { "min" : 99000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NY, United States", "locations" : [ "New York", "NY", "United States" ], "timestamp" : "2026-06-14T05:58:44.190", "fingerprint" : "d0ef1b3effd322953f8e9102e588c9cdb857aeb5bfb3bddc366020b27fb17a56", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.datadoghq.com/detail/7964916/?gh_jid=7964916", "externalId" : "7964916", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "professionalSkills" : [ "Financial planning", "Data insights" ], "hardSkillsList" : [ "Data analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "FP&A, Data insights", "majorSkillsList" : [ "FP&A", "Data insights" ], "coreResponsibilities" : "Provide commercial support, Provide operational support, Provide analytical support", "teamCollaboration" : "Collaborate with teams", "domainKnowledge" : "Consumption-based software business model", "domainList" : [ "consumption-based-software-business-model" ], "domainSpecificKnowledge" : [ "Consumption-based software business model" ], "toolProficiency" : [ "Pigment" ], "continuousLearning" : "Product training", "problemSolvingSkills" : "Data analysis", "qualificationsBasic" : "5+ years FP&A experience", "qualificationsPreferred" : "Solid understanding of Pigment, Experience in consumption-based software business model", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Datadog's Finance team collaborates with teams across the organization, providing commercial, operational and analytical support to ensure that Datadog's business continues to scale rapidly and efficiently. The Financial Planning Solid understanding of Pigment or other FP&A software is a plus, but not required Experience in or understanding of a consumption-based software business model Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: Generous and competitive benefits package New hire stock equity (RSUs) and employee stock purchase plan Continuous career development and pathing opportunities Product training to develop an in-depth understanding of our product and space Friendly and inclusive workplace culture Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $99,000—$145,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.", "summaryDescription" : "FP&A Analyst - Data Insights at Datadog. Skills: FP&A, Data insights. Provide commercial support. Provide operational support", "postedDate" : "2026-06-11T17:15:50.807", "createdAt" : "2026-06-11T17:15:50.807", "lastUpdated" : "2026-06-14T05:58:44.190", "ingestTimestamp" : "2026-06-11T17:15:50.807", "mongoId" : "6a2a483974d8ee00a05de328", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 99000, "salaryAnnualMax" : 145000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analysis", "FP&A", "Data insights", "Financial planning", "Consumption-based software business model", "Pigment" ], "skillCount" : 6, "jobCategory" : "finance", "jobSubcategory" : "finance", "dataQualityScore" : 0.7777778, "_score" : 731.37036, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2cb21074d8ee00a09dfad3", "title" : "Senior Data Analytics Engineer - Data Insights", "industry" : "Analyst", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Analytics Engineer in the US Technology industry, adjusted for remote work and senior experience level." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-15T23:07:52.302", "fingerprint" : "3d32bf54d98f801e0ecff998bdc052792522a4904ae971ab33b20187746547fe", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/20317e0a-22ee-4f85-b700-ed88a7b1d27b/apply", "externalId" : "20317e0a-22ee-4f85-b700-ed88a7b1d27b", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Dbt, Snowflake, AWS, GCP, Azure, Git, JSON", "professionalSkills" : [ "Data modeling", "Query optimization", "Analytics engineering", "Metric definition", "Semantic layers", "KPI frameworks" ], "hardSkillsList" : [ "Data transformation", "Data quality", "Performance optimization", "Maintainability" ], "hardSkills" : [ { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Maintainability", "level" : "intermediate" } ], "majorSkills" : "Data modeling, Analytics engineering, Data warehousing", "majorSkillsList" : [ "Data modeling", "Analytics engineering", "Data warehousing" ], "coreResponsibilities" : "Design data models, Build data models, Maintain data models, Develop business metrics, Standardize business dimensions, Understand decision-making needs, Translate needs into data products, Implement data transformations, Optimize data transformations, Ensure data quality, Ensure performance, Ensure maintainability, Build semantic layers, Evolve KPI frameworks, Define best practices, Collaborate with data engineering, Collaborate with analytics teams, Collaborate with business teams, Support end-to-end delivery", "teamCollaboration" : "Cross-functional stakeholders; Cross-functional environments; Data engineering teams; Analytics teams; Business teams", "projectManagementSkills" : [ "Manage complex data projects" ], "domainKnowledge" : "Modern data warehousing; Cloud data platforms", "domainList" : [ "modern-data-warehousing", "cloud-data-platforms" ], "domainSpecificKnowledge" : [ "Modern data warehousing", "Cloud data platforms" ], "toolProficiency" : [ "Dbt", "Git" ], "communicationSkills" : "Explain technical concepts", "documentationSkills" : "Documentation skills", "continuousLearning" : "Learning and development programs", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "specialRequirements" : "Ownership, Autonomy", "qualificationsBasic" : "5+ years of experience, Expertise in SQL, 3+ years of experience with Python, 3+ years of experience with dbt", "qualificationsPreferred" : "Familiarity with cloud platforms, Familiarity with source control tools, Experience with semi-structured data formats, Experience with BI tools, PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design, build, and maintain scalable data models, transformations, and pipelines using modern analytics engineering practices in cloud data warehouse environments. Develop and standardize core business metrics and dimensions to enable consistent, self-service analytics across the organization. Partner with cross-functional stakeholders to understand decision-making needs and translate them into reliable analytical data products. Implement and optimize data transformations using tools such as dbt, ensuring high data quality, performance, and maintainability. Build and evolve semantic layers and KPI frameworks that support dashboards, reporting, experimentation, and advanced analytics use cases. Define best practices for data modeling, metric definitions, and analytics engineering standards across teams. Collaborate with data engineering, analytics, and business teams to support end-to-end delivery of data-driven solutions. Requirements: 5+ years of experience in data analytics engineering, data modeling, BI engineering, or similar roles. Strong expertise in SQL, with experience in data modeling, query optimization, and working with large-scale datasets. 3+ years of experience with Python and dbt for data transformation and analytics engineering workflows. Deep understanding of modern data warehousing concepts and cloud data platforms such as Snowflake or similar. Experience building metrics layers, semantic models, and self-service analytics environments. Strong analytical and problem-solving skills with the ability to manage multiple complex data projects. Excellent communication and documentation skills, with the ability to explain technical concepts to non-technical audiences. Experience working in remote, cross-functional environments with strong ownership and autonomy. Familiarity with cloud platforms (AWS, GCP, or Azure) and source control tools such as Git is a plus. Experience with semi-structured data formats (e.g., JSON) and BI tools is preferred. Benefits: Competitive compensation package with potential equity participation. Unlimited paid time off and paid company holidays. Fully covered medical insurance, with additional dental and vision coverage. Comprehensive health, life, disability, and wellness benefits. Monthly remote work stipend and equipment support. 401(k) retirement plan with company matching. Paid volunteer days to support community and CSR initiatives. Learning and development programs through dedicated internal platforms. Flexible remote work environment with optional access to office locations in major U.S. cities. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior Data Analytics Engineer - Data Insights. Skills: Data modeling, Analytics engineering, Data warehousing. Design data models. Build data models", "postedDate" : "2026-06-11T04:51:52.920", "createdAt" : "2026-06-11T04:51:52.920", "lastUpdated" : "2026-06-15T23:07:52.302", "ingestTimestamp" : "2026-06-14T22:12:07.060", "mongoId" : "6a2cb21074d8ee00a09dfad3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data transformation", "Data quality", "Performance optimization", "Maintainability", "Data modeling", "Analytics engineering", "Data warehousing", "Query optimization", "Metric definition", "Semantic layers", "KPI frameworks", "Manage complex data projects", "Modern data warehousing", "Cloud data platforms", "Dbt", "Git" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 714.7437, "daysOld" : 4, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "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" : 705.26514, "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" : 702.6502, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c9ff674d8ee00a09a0efe", "title" : "Analytics Manager, Partner Insights", "company" : "Rula", "industry" : "Finance", "salary" : { "min" : 157250.0, "max" : 175750.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "timestamp" : "2026-06-15T14:13:36.599", "fingerprint" : "0fc9c58195e0b2bfb049028b1186865badc1f06a7131f7b0349469202156075f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/rula/36c48692-0a06-4d31-971c-63ae1f29d391/application", "externalId" : "36c48692-0a06-4d31-971c-63ae1f29d391", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "SQL, Dbt, Airflow, Looker, Tableau, Hex", "professionalSkills" : [ "Data storytelling", "Reporting systems design", "Trend analysis", "Cross-functional partnership", "Strategy influence", "Client success support" ], "hardSkillsList" : [ "Quantitative analysis", "Data visualization", "Automation" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" } ], "majorSkills" : "Data analytics, Reporting systems, Partner insights", "majorSkillsList" : [ "Data analytics", "Reporting systems", "Partner insights" ], "coreResponsibilities" : "Design reporting systems, Present insights to stakeholders, Automate foundational reports, Dive into trends", "teamCollaboration" : "Cross-functional partner; Internal client success teams; Sales teams", "domainKnowledge" : "Healthcare data; Payer reporting; Health system reporting; Clinical outcomes; Cost of care; Network adequacy; Utilization rates", "domainList" : [ "healthcare-data", "payer-reporting", "health-system-reporting", "clinical-outcomes", "cost-of-care", "network-adequacy", "utilization-rates" ], "domainSpecificKnowledge" : [ "Healthcare data", "Payer reporting", "Health system reporting", "Clinical outcomes", "Cost of care", "Network adequacy", "Utilization rates" ], "toolProficiency" : [ "SQL", "Dbt", "Airflow", "Looker", "Tableau", "Hex" ], "communicationSkills" : "Present insights", "problemSolvingSkills" : "Data analysis", "outcomesObjectives" : "Transform data into stories; Unlock time for deeper trends", "qualificationsBasic" : "5+ years experience, Bachelor's degree, SQL proficiency, Dbt proficiency, Airflow proficiency, Looker proficiency, Tableau proficiency, Hex proficiency, Experience with health plans, Experience with healthcare analytics, Experience with payer reporting, Experience with health-system reporting", "qualificationsPreferred" : "Startup environment experience, Transition manual reporting to automated workflows, Deep understanding of clinical outcomes, Deep understanding of cost of care, Deep understanding of network adequacy, Deep understanding of utilization rates", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We believe that mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole person, not just the symptoms. We aim to create a world where mental health is no longer stigmatized or marginalized, but rather is embraced as an integral part of one's overall well-being. We believe that by providing quality care that is both evidence-based and compassionate, we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare. Rula is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii. About the Role This role empowers Rula’s partnership teams by transforming complex healthcare data into clear, compelling stories for our largest partners. As an individual contributor, you will be responsible for designing reliable reporting systems and directly presenting easy-to-understand insights to external stakeholders. By applying your technical skills to automate foundational reports, you will unlock the time needed to dive into deeper trends around care and operational success. Ultimately, you will be a key customer-facing guide at the crossroads of data and relationships, directly influencing how partners experience the value Rula brings to the table. Required Qualifications - 5+ years of experience, embedded within an Analytics, Data Science, Operations, Product, or Engineering function - A Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, or related technical field with strong quantitative foundation - Experience working with health plans, healthcare analytics, payer and health-system-facing reporting - Advanced technical expertise with modern data stacks (i.e. SQL, dbt, Airflow, etc.) and data visualization tools (i.e. Looker, Tableau, Hex, etc.) - Experience operating as a highly collaborative cross-functional partner, with the ability to influence strategy, proactively anticipate cross-functional needs, and support internal client success/sales teams without having direct ownership of the account Preferred Qualifications While having the preferred qualifications enhances your candidacy, having all of them is not mandatory. We encourage all interested applicants to apply, even those who may not meet every preferred requirement. - Experience within a fast-paced, high-growth, marketplace-centric startup environment with the ability to handle dynamic analytical priorities - A proven track record of successfully transitioning manual, one-off reporting tasks into automated, scalable workflows and templates - Deep understanding of specific healthcare performance indicators, such as clinical outcomes, cost of care, network adequacy, or utilization rates We're serious about your well-being! As part of our team, full-time employees receive: - 100% remote work environment: Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments (must be based in United States, currently not hiring in Hawaii) - Attractive pay and benefits: Full transparency of pay ranges regardless of where you live in the United States - Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA - 401(k) plan access: Start saving for your future - Generous time-off policies: Including 2 company-wide shutdown weeks each year for self-care (for most employees) - Paid parental leave: Available for all parents, including birthing, non-birthing, adopting, and fostering - Employee Assistance Program (EAP): Supporting your mental and physical health - Quarterly department stipend: Fun team-building activities or in-person gatherings - Community and employee resource groups: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all - Home office stipend: New hire home office stipend & $50 monthly stipend to help cover internet or cell phone expenses - Wellness at Rula program: Year-round wellness initiatives and a $50/month wellness stipend Our team We believe that diversity, equity, and inclusion are fundamental to our mission of making mental healthcare work for everyone. We are dedicated to having a culture of inclusion that will support our employees in feeling safe, seen, heard, and valued.", "summaryDescription" : "Analytics Manager, Partner Insights at Rula. Skills: Data analytics, Reporting systems, Partner insights. Design reporting systems. 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Voivodeship", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.2319581,21.0067249" } ], "locationText" : "Warsaw, Masovian Voivodeship, Poland", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Databricks, Airflow, Terraform, AWS, Kubernetes, dbt, Delta Lake, Apache Spark, GitHub Actions", "professionalSkills" : [ "Data modelling", "Data products", "Customer success", "Pipeline failures", "Cost-efficient", "CI/CD workflows", "Engineering fundamentals", "Adaptability", "Automation", "Observability" ], "hardSkillsList" : [ "Data engineering", "Software engineering", "Distributed systems", "Compute engines", "Data products development", "Data modelling", "Workflow orchestration", "Infrastructure management", "CI/CD implementation", "Observability implementation" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Software engineering", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Compute engines", "level" : "intermediate" }, { "name" : "Data products development", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "Workflow orchestration", "level" : "intermediate" }, { "name" : "Infrastructure management", "level" : "intermediate" }, { "name" : "CI/CD implementation", "level" : "intermediate" }, { "name" : "Observability implementation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Platform, Data Products, Infrastructure, Frameworks", "majorSkillsList" : [ "Data Platform", "Data Products", "Infrastructure", "Frameworks" ], "coreResponsibilities" : "Build and evolve platform, Manage high-quality data products, Make data reliable, Make data accessible, Power decisions at scale, Own infrastructure and frameworks, Streamline development, Streamline testing, Streamline maintenance, Turn petabytes of data into models, Turn petabytes of data into metrics, Provide tools for dashboards, Provide tools for data applications, Provide tools for chatting with data, Work with data producers, Work with data consumers, Understand customer needs, Understand customer challenges, Seek continuous improvements, Drive complex projects, Own and evolve foundational infrastructure, Own and evolve foundational frameworks, Support building dbt on Databricks, Support testing dbt on Databricks, Support deploying dbt on Databricks, Ensure customer success, Help data practitioners use platform, Keep Databricks jobs reliable, Keep Databricks jobs observable, Keep Databricks jobs cost-efficient, Detect pipeline failures, Surface areas for improvement, Keep Looker running smoothly, Serve queries over petabytes of data, Enable new ways to use data, Build CI/CD workflows, Validate data products, Test data products, Deploy data products reliably", "teamCollaboration" : "Cross-team projects; Technical colleagues; Non-technical colleagues", "projectManagementSkills" : [ "Lead complex projects", "Deliver complex projects" ], "domainKnowledge" : "Data platform insights; Data products; Data ecosystem; Modern data stack; Large-scale distributed data systems; Compute engines; CI/CD practices; Automation; Testing; Observability", "domainList" : [ "data-platform-insights", "data-products", "data-ecosystem", "modern-data-stack", "large-scale-distributed-data-systems", "compute-engines", "ci-cd-practices", "automation", "testing", "observability" ], "domainSpecificKnowledge" : [ "Data platform insights", "Data products", "Data ecosystem", "Modern data stack", "Large-scale distributed data systems", "Compute engines", "CI/CD practices", "Automation", "Testing", "Observability" ], "toolProficiency" : [ "dbt", "Databricks", "Airflow", "Terraform", "AWS", "Kubernetes", "GitHub Actions", "Looker" ], "communicationSkills" : "Communication skills; Spoken English; Written English", "innovationCreativity" : "Enable new ways to use data", "problemSolvingSkills" : "Detect pipeline failures; Surface areas for improvement", "specialRequirements" : "Minimum 2 days in office", "qualificationsBasic" : "5 years software engineering experience, Hands-on experience with large-scale distributed data systems, Proficient in Python or another mainstream OOP language, Familiar with modern data stack, Excellent communication skills, Fluent in spoken and written English, Comfortable collaborating with technical and non-technical colleagues, Understand modern CI/CD practices, Value automation, testing, and observability, Driven by customer success, Track record of leading and delivering complex, cross-team projects", "qualificationsPreferred" : "Experience with Apache Spark, Experience with Databricks, Experience with Airflow, Experience with Delta Lake, Experience with equivalents to dbt, Databricks, Airflow, Delta Lake", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "We’re looking for a Senior Software Engineer to join Bolt’s Data Platform Insights team. You’ll build and evolve the platform that helps Bolt teams create and manage high-quality data products — making data reliable and accessible, to power decisions at massive scale. About us With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people. We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or disability. Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission! About the role Engineers in the Insights team play a key role in shaping Bolt’s data ecosystem. You will own the infrastructure and frameworks that streamline development, testing, and maintenance of data products - turning petabytes of data into reusable models and metrics. Teams across the organisation will create dashboards, custom data applications, and chat with data using the tools you will provide. In this role, you will work closely with the data producers and consumers to understand their needs and challenges, continuously seeking improvements, and driving complex projects from idea to completion. We work with a wide range of technologies - Python libraries and CLIs; dbt for data modelling, workflows orchestration and execution with Airflow and Databricks; infrastructure with Terraform, AWS, and Kubernetes Main tasks and responsibilities: Own and evolve the foundational infrastructure and frameworks that support building, testing, and deploying dbt on Databricks, with 3,500+ dbt models. Ensure customer success by helping data practitioners use the platform effectively and in a self-service manner. Keep 800+ daily Databricks jobs reliable, observable, and cost-efficient with an observability layer that detects pipeline failures and surfaces areas for improvement. Keep Looker running smoothly for the 4,000 Bolt employees, serving 300,000 queries daily over petabytes of data. Seek and enable new ways to use data, such as chatting with data agents. Building CI/CD workflows with GitHub Actions that validate, test, and deploy data products reliably. About you: You have at least 5 years of software engineering experience, including hands-on experience with large-scale distributed data systems or compute engines like Apache Spark. Proficient in Python or another mainstream OOP language. We care about strong engineering fundamentals and adaptability. Familiar with the modern data stack (dbt, Databricks, Airflow, Delta Lake, or equivalents). You have excellent communication skills, are fluent in spoken and written English, and you’re comfortable collaborating with both technical and non-technical colleagues. You understand modern CI/CD practices and value automation, testing, and observability as core engineering principles. You’re driven by customer success and have a track record of leading and delivering complex, cross-team projects. Why you’ll love it here: Play a direct role in shaping the future of mobility. Impact millions of customers and partners in 600+ cities across 50+ countries. Work in fast-moving autonomous teams with some of the smartest people in the world. Accelerate your professional growth with unique career opportunities. Get a rewarding salary and stock option package that lets you focus on doing your best work. Enjoy the flexibility of working in a hybrid mode with a minimum of 2 days in the office each week to foster strong connections and teamwork. Take care of your physical and mental health with our wellness perks. *Some perks may differ depending on your location and role. #LI-Hybrid", "summaryDescription" : "Senior Software Engineer, Data Platform Insights at Bolt Technology. Skills: Data Platform, Data Products, Infrastructure, Frameworks. Build and evolve platform. Manage high-quality data products", "postedDate" : "2026-06-12T21:56:40.951", "createdAt" : "2026-06-12T21:56:40.951", "lastUpdated" : "2026-06-15T02:40:15.951", "ingestTimestamp" : "2026-06-12T21:56:40.951", "mongoId" : "6a2c5e4374d8ee00a08e294b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data engineering", "Software engineering", "Distributed systems", "Compute engines", "Data products development", "Data modelling", "Workflow orchestration", "Infrastructure management", "CI/CD implementation", "Observability implementation", "Leadership", "Data Platform", "Data Products", "Infrastructure", "Frameworks", "Data products", "Customer success", "Pipeline failures", "Cost-efficient", "CI/CD workflows", "Engineering fundamentals", "Adaptability", "Automation", "Observability", "Lead complex projects", "Deliver complex projects", "Data platform insights", "Data ecosystem", "Modern data stack", "Large-scale distributed data systems", "CI/CD practices", "Testing", "dbt", "Databricks", "Airflow", "Terraform", "AWS", "Kubernetes", "GitHub Actions", "Looker" ], "skillCount" : 40, "jobCategory" : "engineering", "jobSubcategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 701.7325, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c5e4374d8ee00a08e294a", "title" : "Senior Software Engineer, Data Platform Insights", "company" : "Bolt Technology", "industry" : "Technology", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Software Engineer in Warsaw, Poland, adjusted for the technology industry and company size." }, "location" : "Warsaw, Poland", "locations" : [ "Warsaw", "Poland" ], "timestamp" : "2026-06-15T01:49:04.421", "fingerprint" : "72563e0c7c0268f946bf5e9ff28a716e41aa0f6282091a5f18b80be8ae3fee2c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://bolt.eu/en/careers/positions/8551666002?gh_jid=8551666002", "externalId" : "8551666002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Warsaw", "state" : "Masovian Voivodeship", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.2319581,21.0067249" } ], "locationText" : "Warsaw, Masovian Voivodeship, Poland", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, OOP, dbt, Databricks, Airflow, Terraform, AWS, Kubernetes, Delta Lake, Looker, GitHub Actions, Apache Spark", "professionalSkills" : [ "Data modelling", "Data products", "Customer success", "CI/CD", "Automation", "Observability" ], "hardSkillsList" : [ "Data engineering", "Platform development", "Workflow orchestration", "Infrastructure management", "CI/CD workflows" ], "softSkillsList" : [ "Adaptability" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Platform development", "level" : "intermediate" }, { "name" : "Workflow orchestration", "level" : "intermediate" }, { "name" : "Infrastructure management", "level" : "intermediate" }, { "name" : "CI/CD workflows", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Adaptability" } ], "majorSkills" : "Data Platform, Data Products, Infrastructure, Frameworks", "majorSkillsList" : [ "Data Platform", "Data Products", "Infrastructure", "Frameworks" ], "coreResponsibilities" : "Build and evolve platform, Manage high-quality data products, Make data reliable, Make data accessible, Power decisions at scale, Own infrastructure and frameworks, Streamline development, Streamline testing, Streamline maintenance, Turn data into models, Turn data into metrics, Provide tools for dashboards, Provide tools for applications, Provide tools for chat, Understand customer needs, Understand customer challenges, Seek continuous improvements, Drive complex projects, Own foundational infrastructure, Own foundational frameworks, Support building dbt, Support testing dbt, Support deploying dbt, Ensure customer success, Help practitioners use platform, Keep Databricks jobs reliable, Keep Databricks jobs observable, Keep Databricks jobs cost-efficient, Detect pipeline failures, Surface areas for improvement, Keep Looker running smoothly, Serve queries over data, Enable new ways to use data, Build CI/CD workflows, Validate data products, Test data products, Deploy data products", "teamCollaboration" : "Work with data producers; Work with data consumers; Collaborate with technical colleagues; Collaborate with non-technical colleagues; Cross-team projects", "projectManagementSkills" : [ "Lead complex projects", "Deliver complex projects" ], "domainKnowledge" : "Data Platform Insights; Data products; Modern data stack; Distributed data systems; Compute engines; CI/CD practices", "domainList" : [ "data-platform-insights", "data-products", "modern-data-stack", "distributed-data-systems", "compute-engines", "ci-cd-practices" ], "domainSpecificKnowledge" : [ "Data Platform Insights", "Data products", "Modern data stack", "Distributed data systems", "Compute engines", "CI/CD practices" ], "toolProficiency" : [ "dbt", "Databricks", "Airflow", "Terraform", "AWS", "Kubernetes", "Looker", "GitHub Actions", "Apache Spark" ], "communicationSkills" : "English fluency", "innovationCreativity" : "Enable new ways to use data", "problemSolvingSkills" : "Detect pipeline failures; Surface areas for improvement", "qualificationsBasic" : "5 years software engineering experience, Hands-on experience with large-scale distributed data systems, Proficient in Python, Fluent in spoken and written English", "qualificationsPreferred" : "Experience with Apache Spark, Familiar with modern data stack, Comfortable collaborating with technical colleagues, Comfortable collaborating with non-technical colleagues, Understand modern CI/CD practices, Value automation, Value testing, Value observability, Driven by customer success, Track record of leading projects, Track record of delivering projects", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "We’re looking for a Senior Software Engineer to join Bolt’s Data Platform Insights team. You’ll build and evolve the platform that helps Bolt teams create and manage high-quality data products — making data reliable and accessible, to power decisions at massive scale. About us With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people. We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or disability. Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission! About the role Engineers in the Insights team play a key role in shaping Bolt’s data ecosystem. You will own the infrastructure and frameworks that streamline development, testing, and maintenance of data products - turning petabytes of data into reusable models and metrics. Teams across the organisation will create dashboards, custom data applications, and chat with data using the tools you will provide. In this role, you will work closely with the data producers and consumers to understand their needs and challenges, continuously seeking improvements, and driving complex projects from idea to completion. We work with a wide range of technologies - Python libraries and CLIs; dbt for data modelling, workflows orchestration and execution with Airflow and Databricks; infrastructure with Terraform, AWS, and Kubernetes Main tasks and responsibilities: Own and evolve the foundational infrastructure and frameworks that support building, testing, and deploying dbt on Databricks, with 3,500+ dbt models. Ensure customer success by helping data practitioners use the platform effectively and in a self-service manner. Keep 800+ daily Databricks jobs reliable, observable, and cost-efficient with an observability layer that detects pipeline failures and surfaces areas for improvement. Keep Looker running smoothly for the 4,000 Bolt employees, serving 300,000 queries daily over petabytes of data. Seek and enable new ways to use data, such as chatting with data agents. Building CI/CD workflows with GitHub Actions that validate, test, and deploy data products reliably. About you: You have at least 5 years of software engineering experience, including hands-on experience with large-scale distributed data systems or compute engines like Apache Spark. Proficient in Python or another mainstream OOP language. We care about strong engineering fundamentals and adaptability. Familiar with the modern data stack (dbt, Databricks, Airflow, Delta Lake, or equivalents). You have excellent communication skills, are fluent in spoken and written English, and you’re comfortable collaborating with both technical and non-technical colleagues. You understand modern CI/CD practices and value automation, testing, and observability as core engineering principles. You’re driven by customer success and have a track record of leading and delivering complex, cross-team projects. Why you’ll love it here: Play a direct role in shaping the future of mobility. Impact millions of customers and partners in 600+ cities across 50+ countries. Work in fast-moving autonomous teams with some of the smartest people in the world. Accelerate your professional growth with unique career opportunities. Get a rewarding salary and stock option package that lets you focus on doing your best work. Enjoy the flexibility of working in a hybrid mode with a minimum of 2 days in the office each week to foster strong connections and teamwork. Take care of your physical and mental health with our wellness perks. *Some perks may differ depending on your location and role. #LI-Hybrid", "summaryDescription" : "Senior Software Engineer, Data Platform Insights at Bolt Technology. Skills: Data Platform, Data Products, Infrastructure, Frameworks. Build and evolve platform. Manage high-quality data products", "postedDate" : "2026-06-12T21:52:59.448", "createdAt" : "2026-06-12T21:52:59.448", "lastUpdated" : "2026-06-15T01:49:04.421", "ingestTimestamp" : "2026-06-12T21:52:59.448", "mongoId" : "6a2c5e4374d8ee00a08e294a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data engineering", "Platform development", "Workflow orchestration", "Infrastructure management", "CI/CD workflows", "Adaptability", "Data Platform", "Data Products", "Infrastructure", "Frameworks", "Data modelling", "Data products", "Customer success", "CI/CD", "Automation", "Observability", "Lead complex projects", "Deliver complex projects", "Data Platform Insights", "Modern data stack", "Distributed data systems", "Compute engines", "CI/CD practices", "dbt", "Databricks", "Airflow", "Terraform", "AWS", "Kubernetes", "Looker", "GitHub Actions", "Apache Spark" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 701.63617, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c956674d8ee00a098d02f", "title" : "Graduate Leadership Program | Data Analyst", "company" : "Further", "industry" : "Consulting", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Data Analyst in Cleveland, adjusted for the consulting industry and company size." }, "location" : "Cleveland, Ohio", "locations" : [ "Cleveland", "Ohio" ], "timestamp" : "2026-06-15T11:12:13.600", "fingerprint" : "042afe1ce5d0aebfda82a136024a54c16bb8041ac80f65e8369aa6b94027b479", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/furtherearlycareer/jobs/8384017002", "externalId" : "8384017002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cleveland", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "41.4996574,-81.6936772" } ], "locationText" : "Cleveland, Ohio, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Adobe Analytics, Google Analytics, Looker, Tableau, AI tools", "professionalSkills" : [ "Client strategy", "Data integrity", "Business ideas" ], "hardSkillsList" : [ "Statistical analysis", "Data visualization", "Experimentation lifecycle", "Hypothesis testing" ], "softSkillsList" : [ "Mentorship" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Experimentation lifecycle", "level" : "intermediate" }, { "name" : "Hypothesis testing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentorship" } ], "majorSkills" : "Data analysis, AI integration", "majorSkillsList" : [ "Data analysis", "AI integration" ], "coreResponsibilities" : "Transform datasets, Derive actionable insights, Ensure data integrity, Support experimentation lifecycle, Design statistically sound hypotheses, Analyze A/B test results, Validate business ideas, Identify significant trends, Gather requirements, Communicate internally, Communicate externally, Solve business problems", "teamCollaboration" : "High-performing teams; Cross-functional experience", "domainKnowledge" : "Modern tools; Client challenges; Technology solutions; Data insights; Business decisions; Professional services; Client projects; Strategic solutions; Client success; Complex datasets; Actionable insights; Client strategy; Data integrity; Experimentation lifecycle; Statistically sound hypotheses; A/B test results; Business ideas; Client initiatives; Stakeholder interaction; Requirements gathering; Hypothesis-driven approach; Business problems; University theory; Real-world impact; Industry leaders; Immersive workshops; Shadow rotations; Learning by doing; Business operations; Product strategy; Client delivery; Real-world projects; Meaningful mentors; Professional bonds; Social bonds; Support network; Cutting-edge tech; Industry-leading technology; AI tools; Digital innovation; AI tools; Daily workflow; Digital economy; Research; Statistical literacy; Data visualization; Generative AI; AI prompts; Accelerate delivery; Speed up tasks; Automate workflows; High-quality work", "domainList" : [ "modern-tools", "client-challenges", "technology-solutions", "data-insights", "business-decisions", "professional-services", "client-projects", "strategic-solutions", "client-success", "complex-datasets", "actionable-insights", "client-strategy", "data-integrity", "experimentation-lifecycle", "statistically-sound-hypotheses", "a-b-test-results", "business-ideas", "client-initiatives", "stakeholder-interaction", "requirements-gathering", "hypothesis-driven-approach", "business-problems", "university-theory", "real-world-impact", "industry-leaders", "immersive-workshops", "shadow-rotations", "learning-by-doing", "business-operations", "product-strategy", "client-delivery", "real-world-projects", "meaningful-mentors", "professional-bonds", "social-bonds", "support-network", "cutting-edge-tech", "industry-leading-technology", "ai-tools", "digital-innovation", "daily-workflow", "digital-economy", "research", "statistical-literacy", "data-visualization", "generative-ai", "ai-prompts", "accelerate-delivery", "speed-up-tasks", "automate-workflows", "high-quality-work" ], "domainSpecificKnowledge" : [ "Modern tools", "Client challenges", "Technology solutions", "Data insights", "Business decisions", "Professional services", "Client projects", "Strategic solutions", "Client success", "Complex datasets", "Actionable insights", "Client strategy", "Data integrity", "Experimentation lifecycle", "Statistically sound hypotheses", "A/B test results", "Business ideas", "Client initiatives", "Stakeholder interaction", "Requirements gathering", "Hypothesis-driven approach", "Business problems", "University theory", "Real-world impact", "Industry leaders", "Immersive workshops", "Shadow rotations", "Learning by doing", "Business operations", "Product strategy", "Client delivery", "Real-world projects", "Meaningful mentors", "Professional bonds", "Social bonds", "Support network", "Cutting-edge tech", "Industry-leading technology", "AI tools", "Digital innovation", "AI tools", "Daily workflow", "Digital economy", "Research", "Statistical literacy", "Data visualization", "Generative AI", "AI prompts", "Accelerate delivery", "Speed up tasks", "Automate workflows", "High-quality work" ], "toolProficiency" : [ "Generative AI tools" ], "communicationSkills" : "Transparent communication; Clear communication", "continuousLearning" : "Hands-on mentorship; Certifications; Immersive Learning; Immersive workshops; Shadow rotations; Learning by doing; Mentorship that Matters; Training on AI tools", "innovationCreativity" : "Experiment faster; Digital innovation", "problemSolvingSkills" : "Solve business problems; Hypothesis-driven approach", "specialRequirements" : "Tuesday in-office, Wednesday in-office, Thursday in-office", "outcomesObjectives" : "Turn data into information; Turn information into insights; Turn insights into business decisions", "qualificationsBasic" : "Bachelor's or Master's Degree, Beginner statistical literacy, Basic data visualization, Baseline Generative AI understanding", "qualificationsPreferred" : "SQL proficiency, Python proficiency, R proficiency, Relevant internships, Project experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Entry Level Analyst Launch your Career at Further Are you graduating with a bachelor’s or master’s degree and ready to dive into the world of data and AI? Further’s Graduate hiring program offers a full-time role where you'll apply your university training to real-world client challenges and technology solutions. Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. You’ll drive powerful insights for brands like Verizon, American Cancer Society, Behr Paint, and more right from the start. Located in the heart of Cleveland in the Flats East Bank, you’ll gain cross-functional experience and build a strong foundation to kickstart your career by turning data into information, information into insights, and insights into business decisions in a professional services environment. Your first year will include: Contributing to client projects and strategic solutions early. Growing your skillset with certifications and hands-on mentorship. Helping shape our client success stories. Your work will matter. While starting with support, you will progress to completing tasks and assignments independently with limited oversight by the end of the year. Contributing to a positive and fun work environment, building strong relationships across the company beyond just your team. Transform complex datasets into compelling narratives using modern tools (e.g., Adobe Analytics, Google Analytics, Looker, Tableau, etc.). You won’t just build dashboards; you will derive actionable insights that drive client strategy and ensure data integrity. Support the full experimentation lifecycle by helping design statistically sound hypotheses and analyzing A/B test results. You will move beyond crunching numbers to validate business ideas, identifying significant trends that prove (or disprove) the impact of client initiatives. Stakeholder interaction and communication including requirements gathering, transparent and clear communication both internally and externally, and using our hypothesis-driven approach to solve business problems. Why Further? We believe great careers are built on strong foundations. Our Graduate Program is designed as a launchpad, bridging university theory with real-world impact and helping high-potential graduates grow into industry leaders. Immersive Learning: Your first three months are a curated mix of immersive workshops, shadow rotations, and learning by doing. You’ll gain a 360-degree view of how our business operates, from product strategy to client delivery. Hands-on Experience Early: You’ll be embedded early into high-performing teams where your ideas are heard and your work reaches our clients, giving you exposure to real-world projects from the start. Mentorship that Matters: Our program is designed around strong mentorship and connection, pairing you with meaningful mentors to shape your career. Build deep professional and social bonds, ensuring you have a support network of mentors and fellow graduates to grow alongside. Technology at your Fingertips: To do your best work, you need the best tools. You will be equipped with cutting-edge tech and industry-leading technology from your first day. You’ll have the resources to work smarter, experiment faster, and stay at the forefront of digital innovation. Harnessing the power of AI: You will receive training on how to integrate AI tools into your daily workflow, ensuring you stay at the forefront of the modern digital economy. What we’re looking for: You don’t need to check every box — what matters most is your drive to grow. Fast learner, committed to continuous learning with passion, curiosity, and some of the following foundations: Required: Completed a Bachelor’s or Master’s Degree between Fall 2025 and Spring 2026 in Statistics, Mathematics, Research, Economics, Quantitative Psychology / Sociology, or other applicable degree. Beginner proficiency or coursework in research, basic statistical literacy, basic data visualization. AI Fluency & Curiosity: A baseline understanding of Generative AI tools (such as ChatGPT, Claude, or GitHub Copilot) with a demonstrated ability to apply prompts to accelerate delivery. We are looking for builders who leverage AI to speed up tasks, automate workflows, and proactively ship high-quality work faster than traditional methods allow. Preferred: SQL, Python, or R, and/or relevant internships or project experience. Additional Notes: This is a hybrid position. Tuesday, Wednesday, and Thursday are required in-office in Cleveland, OH Please note, we do not offer sponsorship for this role. Rewards & Benefits at Further Being part of Further means joining a group of incredible people dedicated to delivering value, impact, and innovation through true grit and agility. We believe in taking care of ourselves and each other to continuously improve each day. Our total rewards program is designed for your protection, peace of mind, and overall wellbeing. In addition to the basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more. If all this resonates with you and you want to add to our team and culture, APPLY TODAY!", "summaryDescription" : "Graduate Leadership Program | Data Analyst at Further. Skills: Data analysis, AI integration. Transform datasets. Derive actionable insights", "postedDate" : "2026-06-13T21:30:36.385", "createdAt" : "2026-06-13T21:30:36.385", "lastUpdated" : "2026-06-15T11:12:13.600", "ingestTimestamp" : "2026-06-13T21:30:36.385", "mongoId" : "6a2c956674d8ee00a098d02f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Data visualization", "Experimentation lifecycle", "Hypothesis testing", "Mentorship", "Data analysis", "AI integration", "Client strategy", "Data integrity", "Business ideas", "Modern tools", "Client challenges", "Technology solutions", "Data insights", "Business decisions", "Professional services", "Client projects", "Strategic solutions", "Client success", "Complex datasets", "Actionable insights", "Statistically sound hypotheses", "A/B test results", "Client initiatives", "Stakeholder interaction", "Requirements gathering", "Hypothesis-driven approach", "Business problems", "University theory", "Real-world impact", "Industry leaders", "Immersive workshops", "Shadow rotations", "Learning by doing", "Business operations", "Product strategy", "Client delivery", "Real-world projects", "Meaningful mentors", "Professional bonds", "Social bonds", "Support network", "Cutting-edge tech", "Industry-leading technology", "AI tools", "Digital innovation", "Daily workflow", "Digital economy", "Research", "Statistical literacy", "Generative AI", "AI prompts", "Accelerate delivery", "Speed up tasks", "Automate workflows", "High-quality work", "Generative AI tools" ], "skillCount" : 57, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 696.90436, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb0ea74d8ee00a09db7cf", "title" : "Senior Sales Insights Analyst", "company" : "Vertice", "industry" : "Business Operations", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Sales Insights Analyst in New York, adjusted for the SaaS industry and company size." }, "location" : "New York City", "locations" : [ "New York City" ], "timestamp" : "2026-06-15T05:23:02.241", "fingerprint" : "27e15da37e0e29ffb9d9c43dd6df268c976ee5cd8e18aed3befa5f8a16214c31", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/vertice/5c895fe9-3932-4aa1-a9c3-65d6a988755f/application", "externalId" : "5c895fe9-3932-4aa1-a9c3-65d6a988755f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 4, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL", "professionalSkills" : [ "Business analytics", "Process improvements", "Data analysis", "Financial impact analysis" ], "hardSkillsList" : [ "Data extraction", "Data analysis", "Dashboard design" ], "hardSkills" : [ { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Dashboard design", "level" : "intermediate" } ], "majorSkills" : "Sales insights, Data analysis, Executive presentations", "majorSkillsList" : [ "Sales insights", "Data analysis", "Executive presentations" ], "coreResponsibilities" : "Partner with sales organization, Drive revenue growth, Demonstrate financial impact, Analyze prospect SaaS stacks, Identify cost-saving opportunities, Present opportunities to executives, Build dynamic dashboards, Build automations", "teamCollaboration" : "Work with Sales team; Cross-functional work", "domainKnowledge" : "SaaS stacks; Technology spend management", "domainList" : [ "saas-stacks", "technology-spend-management" ], "domainSpecificKnowledge" : [ "SaaS stacks", "Technology spend management" ], "toolProficiency" : [ "Internal tooling" ], "communicationSkills" : "Presenting insights; Presenting findings", "problemSolvingSkills" : "Data analysis", "specialRequirements" : "2 days a week in office", "qualificationsBasic" : "2-4 years experience, Extracting and analyzing data, Presenting insights to others, Delivering results cross-functionally", "qualificationsPreferred" : "Experience in fast-paced environment, Translating complex data analysis, Presenting findings to executives, Python or SQL experience, Designing dashboards experience, Work ethic, Humility, kindness and respect", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Vertice was launched in 2022 to transform how companies manage their technology spend. Our agentic workflows, AI insights and expert buyers empower companies to buy smarter and scale faster, with Finance and Procurement leaders in over 30 countries worldwide trusting Vertice to manage their software purchases. In the software category alone, we have managed over $10bn in spend and have a track record of delivering 20% savings and halving procurement cycles. Headquartered in London with offices across the world including New York, Brno, Sydney and Johannesburg, we’re shaping the future of procurement on a global scale. And we’re just getting started. Founded by serial entrepreneurs Roy Tuvey and Eldar Tuvey, who have a track record of building two category-defining technology companies to exit, Vertice has seen a remarkable 13X revenue growth in two years. This trajectory earned us the #2 spot on the Sunday Times' 2026 Tech 100 list, following our recognition as 2025’s fastest-growing startup in the UK by the FT’s Sifted, and as fourth in Europe. Following our Series C, we have secured $100M+ in funding from leading investors including Bessemer Venture Partners, 83North and Lakestar, and are expanding our reach across our team. Do you want to make an outsized impact, work with exceptional people, and be part of a highly motivated team? Come and join our mission to build the Intelligent Procurement Platform. Your Role: As a Commercial Analyst at Vertice, you will be a strategic partner to our Sales organization, driving revenue growth by demonstrating the financial impact of our platform to prospective clients. You will own the critical analysis of our prospects' SaaS stacks, identifying and presenting compelling cost-saving opportunities directly to C-level executives at a diverse range of companies, from high-growth startups to established enterprise brands. You'll be reporting to the US Analytics Manager, and working closely with the Sales team from sales acceptance through deal closing activities. You'll also have other data focused responsibilities to provide our teams with the information and insights they need to work effectively, using our internal tooling to build dynamic dashboards and automations. Requirements: - You'll have 2-4 years of experience in a challenging role in consulting, professional services or business analytics - You'll have strong experience extracting and analyzing data in a methodical manner and delivering process improvements to help teams work more efficiently - You'll be comfortable with moderately complex concepts, and be able to talk confidently when presenting insights to others, both internally and externally - You'll have demonstrable success in delivering results working cross-functionally with a flexible, agile, and adaptable approach; used to wearing multiple hats and you won't get easily overwhelmed - 2 days a week in our New York office Things we like to see: - Experience working in a fast-paced environment - Experience translating complex data analysis into clear, compelling narratives and presenting findings to executive-level audiences - Experience with Python or SQL with the ability and experience in designing dashboards - Strong work ethic with a \"get stuff done\" mentality - Humility, kindness and respect in working with others. We're hoping to create a supportive and caring culture of high performing people, and your attitude is just as important as your skillset - Individuals that are eager to start something new; to commit to an ambitious plan and co-create a memorable and meaningful company. Autonomy is a highly valued quality #LI-DNP Final things to note Vertice is an equal opportunities employer, although you must be legally able to work in the specified region of the job. Any personal data you provide will be processed in accordance with Vertice's privacy policy and applicable data protection law. We use AI-assisted tools to help us review and assess applications more efficiently. These tools support our Talent team but do not make hiring decisions autonomously. You have the right to contest any AI-assisted decision, and exercise your data subject rights by contacting us; please follow the instructions in our privacy policy. We like to deal directly with our candidates so no agencies please! If you aren’t sure this job applies to you, feel free to send your CV to careers@vertice.one, and we’ll be happy to take a look and see if you could be a good fit anywhere else in our business!", "summaryDescription" : "Senior Sales Insights Analyst at Vertice. Skills: Sales insights, Data analysis, Executive presentations. Partner with sales organization. Drive revenue growth", "createdAt" : "2026-06-14T04:45:13.228", "lastUpdated" : "2026-06-15T05:23:02.241", "ingestTimestamp" : "2026-06-14T04:45:13.228", "mongoId" : "6a2cb0ea74d8ee00a09db7cf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data extraction", "Data analysis", "Dashboard design", "Sales insights", "Executive presentations", "Business analytics", "Process improvements", "Financial impact analysis", "SaaS stacks", "Technology spend management", "Internal tooling" ], "skillCount" : 11, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 693.4873, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "69164d9e70f0b99d586f2f43", "title" : "Coordinator, Consumer Insights", "company" : "Metro-Goldwyn-Mayer Studios Inc.", "industry" : "Marketing PR, Marketing, entertainment", "salary" : { "min" : 53200.0, "max" : 113700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Culver City, California, USA", "locations" : [ "Culver City, California, USA" ], "timestamp" : "2026-06-14T23:59:15.245", "fingerprint" : "4b623eea295c3164a8fb4d0b6cca04bd302e46ba1a6255b88d7219294629e4e8", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3123320/apply", "externalId" : "ad9159cc-00d7-4e1c-af14-5b0d6a4e0f24", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Culver City", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0211224,-118.3964660" } ], "locationText" : "Culver City, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "technicalSkills" : "Salesforce, Tableau, Excel, SAP", "professionalSkills" : [ "Data retrieval", "Financial management", "Budget tracking", "Purchase order management", "Vendor administration", "Contract management", "Research-backed recommendations" ], "hardSkillsList" : [ "Data manipulation", "Email engagement programs", "Lifecycle programs", "Nurture programs" ], "hardSkills" : [ { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Email engagement programs", "level" : "intermediate" }, { "name" : "Lifecycle programs", "level" : "intermediate" }, { "name" : "Nurture programs", "level" : "intermediate" } ], "majorSkills" : "Consumer insights, Data management, Financial processes", "majorSkillsList" : [ "Consumer insights", "Data management", "Financial processes" ], "coreResponsibilities" : "Architect databases, Maintain databases, Manage calendars, Schedule readouts, Oversee financial management, Track budgets, Manage purchase orders, Administer vendors, Navigate contract management, Coordinate contracts, Troubleshoot research challenges, Manage concurrent projects, Provide recommendations", "teamCollaboration" : "Cross-functional partners; Legal; Procurement; Vendors", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Theatrical performance; Entertainment landscape; Film research; Streaming film", "domainList" : [ "theatrical-performance", "entertainment-landscape", "film-research", "streaming-film" ], "domainSpecificKnowledge" : [ "Theatrical performance", "Entertainment landscape", "Film research", "Streaming film" ], "toolProficiency" : [ "Salesforce", "Tableau", "Excel", "SAP" ], "problemSolvingSkills" : "Troubleshoot research challenges", "qualificationsBasic" : "2+ years marketing experience, 1+ years Salesforce experience, 1+ years Tableau experience, 1+ years Vidyard experience, 1+ years Excel experience, 1+ years email engagement programs, 1+ years lifecycle/nurture programs, Excel data manipulation, Excel macros, Excel charts, Excel pivot tables, Tableau data manipulation, Tableau macros, Tableau charts, Tableau pivot tables", "qualificationsPreferred" : "Experience with SAP, Experience with contract management, Experience with major brand, Experience with entertainment company, Experience in project management, Experience in production management, Experience in e-commerce, Experience in start ups, Experience in advertising, Experience in commercial", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon/MGM Studios is seeking a highly organized and detail-oriented Research Coordinator to join our dynamic theatrical and streaming film research team. This pivotal role serves as the cornerstone of our team's organizational efficiency, managing critical data, schedules, and financial processes that drive our strategic decision-making in the ever-evolving entertainment landscape. As our Research Coordinator, you will: Architect and maintain comprehensive theatrical performance databases and research archives, ensuring quick data retrieval and preservation of institutional knowledge. Manage complex calendars and schedule crucial research readouts across multiple time zones, balancing the needs of various stakeholders. Oversee financial management for research projects, including budget tracking, purchase order management, and vendor administration. Navigate contract management processes, coordinating between legal, procurement, and vendors to ensure compliance and maintain project momentum. Troubleshoot research challenges, manage multiple concurrent projects, and provide research-backed recommendations to cross-functional partners. The ideal candidate will possess exceptional organizational skills, attention to detail, and the ability to prioritize effectively in a fast-paced environment. You should be comfortable working with large datasets, financial spreadsheets, and project management tools. Experience with SAP and contract management is a plus. This role offers a unique opportunity to be at the heart of Amazon/MGM's expanding theatrical slate, providing crucial support that shapes our global marketing and distribution strategies. If you're passionate about the entertainment industry and have a talent for turning data into actionable insights, we want to hear from you! Join us in writing the next chapter of entertainment history. Apply now to be part of our growing research team at Amazon/MGM Studios! Basic Qualifications: - 2+ years of professional non-internship marketing experience - 1+ years of Salesforce, Tableau, Vidyard, and Excel experience - 1+ years of designing, building, and launching successful email engagement programs, specifically lifecycle/nurture programs experience - Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables) Preferred Qualifications: - Experience working with a major brand or entertainment company in project/production management - Experience in e-commerce, start ups, advertising, commercial - Experience using data visualization tools Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $53,200/year in our lowest geographic market up to $113,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Coordinator, Consumer Insights at Metro-Goldwyn-Mayer Studios Inc.. Skills: Consumer insights, Data management, Financial processes. Architect databases. Maintain databases", "postedDate" : "2026-06-12T23:27:00.674", "createdAt" : "2026-06-12T23:27:00.674", "lastUpdated" : "2026-06-14T23:59:15.245", "ingestTimestamp" : "2026-06-12T23:27:00.674", "mongoId" : "69164d9e70f0b99d586f2f43", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3123320/apply", "salaryAnnualMin" : 53200, "salaryAnnualMax" : 113700, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Data manipulation", "Email engagement programs", "Lifecycle programs", "Nurture programs", "Consumer insights", "Data management", "Financial processes", "Data retrieval", "Financial management", "Budget tracking", "Purchase order management", "Vendor administration", "Contract management", "Research-backed recommendations", "Project management", "Theatrical performance", "Entertainment landscape", "Film research", "Streaming film", "Salesforce", "Tableau", "Excel", "SAP" ], "skillCount" : 23, "jobCategory" : "marketing", "dataQualityScore" : 0.8888889, "_score" : 688.4132, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Entertainment" }, { "id" : "6a2ca68e74d8ee00a09bc2ec", "title" : "Retail Operations & Insights, Sr. Analyst", "company" : "Athena Club", "industry" : "Retail", "salary" : { "min" : 75000.0, "max" : 90000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T12:29:54.850", "fingerprint" : "d9f43855293bdbb0617ecc76ac7700ab08347bb5b10286cf809b4df8e6583da8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/athenaclub/jobs/4253013009", "externalId" : "4253013009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "softSkillsList" : [ "Collaborative mindset" ], "softSkills" : [ { "name" : "Collaborative mindset" } ], "majorSkills" : "Retail Operations, Data Analysis", "majorSkillsList" : [ "Retail Operations", "Data Analysis" ], "coreResponsibilities" : "Investigate root causes, Drive corrective actions", "teamCollaboration" : "Internal stakeholders; External stakeholders", "toolProficiency" : [ "Microsoft Excel", "Google Sheets" ], "communicationSkills" : "Written communication; Verbal communication", "problemSolvingSkills" : "Root cause analysis; Problem-solving", "qualificationsBasic" : "Proficiency in Microsoft Excel, Proficiency in Google Sheets, Written communication skills, Verbal communication skills, Manage multiple priorities, Work in a deadline-driven environment", "qualificationsPreferred" : "Warehouse experience with Walmart, Warehouse experience with Target, Warehouse experience with Amazon", "remoteFriendly" : false, "rawDescription" : "Athena Club is building the next-generation personal care company, and we’re just getting started. Over the past 12 months, we’ve doubled our business, accelerated our retail momentum, and expanded our reach as more customers turn to Athena for beautifully designed, high-performance essentials. We’re redefining everyday personal care through innovation, transparency, and design-led thinking, transforming daily routines into rituals. With strengths in world-class product development, compelling storytelling, and a brand built to stand out on shelf and in culture, we’re entering an exciting new phase of category expansion and national growth. We’re looking for experienced, entrepreneurial leaders who thrive in fast-moving environments, take full ownership, and know how to scale teams, systems, and outcomes. This role is a rare opportunity to help shape Athena Club’s next chapter, driving strategy, execution, and long-term impact as we build an iconic modern personal care brand. The Role We are looking for a detail-oriented and collaborative Retail Operations investigate root causes and drive corrective actions. Warehouse experience with Walmart, Target, Amazon, or similar accounts a strong plus. Proficiency in Microsoft Excel and Google Sheets. Strong written and verbal communication skills with the ability to manage multiple priorities across internal and external stakeholders. Highly organized, proactive, and comfortable working in a deadline-driven environment. A collaborative mindset with a bias toward problem-solving and continuous improvement. The (+) Extras Medical, Dental, Vision insurance Life + Disability HSA or FSA Commuter benefits 401K Weekly team lunches Optional Bi-Weekly Team Workouts Annual Offsite “Camp Athena Club” Salary Range $75,000—$90,000 USD Equal Opportunity & Inclusion Athena Club is an equal opportunity employer and is committed to building an inclusive workplace. We do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, age, national origin, citizenship status, disability, veteran status, genetic information, marital status, or any other characteristic protected by applicable law. We believe diverse perspectives strengthen our team and our products, and we encourage people from all backgrounds to apply.", "summaryDescription" : "Retail Operations & Insights, Sr. Analyst at Athena Club. Skills: Retail Operations, Data Analysis. Investigate root causes. 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Acquired entity operations teams; Internal sales teams; Internal finance teams; Internal systems teams", "projectManagementSkills" : [ "Process improvement" ], "domainKnowledge" : "GAAP revenue recognition; SaaS business models; Subscription-based business", "domainList" : [ "gaap-revenue-recognition", "saas-business-models", "subscription-based-business" ], "domainSpecificKnowledge" : [ "GAAP revenue recognition", "SaaS business models", "Subscription-based business" ], "toolProficiency" : [ "Salesforce", "NetSuite", "Excel", "Alteryx" ], "communicationSkills" : "Clear communication", "continuousLearning" : "Learning opportunities", "problemSolvingSkills" : "Problem-solving skills", "specialRequirements" : "Residing in Mexico", "outcomesObjectives" : "Accurate data migrations; Audit-ready data migrations; Proactive identification of data issues; Proactive resolution of data issues; Clear communication of risks; Clear communication of assumptions; Consistent delivery within project timelines", "qualificationsBasic" : "3–7+ years of experience, working knowledge of Salesforce, Advanced proficiency in Excel, working familiarity with NetSuite, Solid understanding of GAAP revenue recognition, Proven ability to work with complex datasets, analytical and problem-solving skills, Ability to learn and adapt quickly", "qualificationsPreferred" : "Experience with Alteryx, Background in SaaS, Experience with mergers and acquisitions", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Mitratech, we are a team of innovators focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse and inclusive work culture centered around great people practices, learning opportunities, and having fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling the chance to move at a rapid pace with some of the most complex, leading-edge technologies available. For over 35 years, the experts at Mitratech have been focused on solving the complex needs. Today, we serve 20,000 client companies of all sizes globally, representing 30% of the Fortune 500 and over 500,000 users in over 160 countries. As we continue to grow, we’re always looking for resourceful, enthusiastic, and fresh perspectives. Join our global team and see what makes Mitratech a truly exceptional place to work! Due to business and compliance requirements, this position is open only to candidates residing in Mexico. Applications from candidates outside this region will not be considered. Job Overview We are seeking a highly analytical and detail-oriented Senior Data Transformation Analyst to support post-merger system integrations (PMSI). This role is critical in ensuring accurate and compliant data migration from acquired entities into core systems, including Salesforce and NetSuite. This is a highly impactful role that requires a strong understanding of revenue recognition, business processes, and system behavior. You will transform complex and inconsistent source data into structured, compliant formats that support sales, billing, and accounting operations. This role requires a balance of technical skills, business acumen, and intellectual curiosity. The ideal candidate does not rely solely on tools; they take the time to understand the underlying data, processes, and accounting implications before building solutions. Key Responsibilities Lead end-to-end data transformation for full-system migrations from acquired entities Analyze and interpret source data from systems such as QuickBooks, NetSuite, Excel, and other CRMs Translate acquired entity data into formats compatible with Salesforce CPQ and ERP processes Evaluate and rebuild data structures to align with GAAP-compliant revenue recognition Identify, clean, and correct data inconsistencies and gaps Develop a deep understanding of revenue recognition policies, sales processes, and product structures, contracting and billing models Collaborate cross-functionally with acquired entity accounting and operations teams, as well as Internal sales, finance, and systems teams across organizations Participate in discovery sessions to ensure accurate data interpretation Perform data validation and reconciliation post-migration Identify discrepancies and drive issue resolution Support broader PMSI team initiatives, including testing and process improvement, as needed Qualifications 3–7+ years of experience in data transformation, systems integration, or revenue operations Strong working knowledge of Salesforce, including exposure to CPQ or similar tools Advanced proficiency in Excel for data manipulation and reconciliation Working familiarity with NetSuite or similar ERP systems Solid understanding of GAAP revenue recognition principles Proven ability to work with complex and incomplete datasets Strong analytical and problem-solving skills Ability to learn and adapt quickly to new business models Excellent communication skills and ability to translate business processes into data logic Preferred Qualifications Experience with Alteryx or similar data transformation tools Background in SaaS or subscription-based business models Experience with mergers and acquisitions or system migrations What Success Looks Like Accurate and audit-ready data migrations Proactive identification and resolution of data issues Clear communication of risks and assumptions Consistent delivery within project timelines Strong collaboration with cross-functional teams We are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.", "summaryDescription" : "Senior Data Transformation Analyst at Mitratech. Skills: Data transformation, System integration, Revenue recognition. Lead data transformation. 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Product teams; Marketing teams; Data Science teams; Senior leadership; External clients; Account Executives; Account Managers", "projectManagementSkills" : [ "Manage multiple projects" ], "domainKnowledge" : "Advertising; E-commerce; Marketing analytics; Marketing mix modeling; Multi-touch attribution; Incrementality testing", "domainList" : [ "advertising", "e-commerce", "marketing-analytics", "marketing-mix-modeling", "multi-touch-attribution", "incrementality-testing" ], "domainSpecificKnowledge" : [ "Advertising", "E-commerce", "Marketing analytics", "Marketing mix modeling", "Multi-touch attribution", "Incrementality testing" ], "communicationSkills" : "Communicate complex ideas; Present findings", "innovationCreativity" : "Innovation leadership", "problemSolvingSkills" : "Solve complex business problems", "outcomesObjectives" : "Drive incremental revenue growth; Optimize ad spend effectively", "qualificationsBasic" : "5+ years business intelligence, 5+ years analytics experience, Knowledge of statistical inference methods, Bachelor's degree quantitative field, Knowledge of SQL queries, Experience communicating complex ideas", "qualificationsPreferred" : "Experience in e-commerce, Master's degree statistics, Master's degree data science, Familiarity with marketing analytics", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Advertising is seeking an experienced Analytics & Insights Manager to join our growing Sales organization. This role is critical to scaling our advertising business by leveraging data and insights to enhance marketing strategies for major clients and drive advertiser success. As an Analytics & Insights Manager, you will serve as a strategic advisor to Sales teams (Account Executives and Account Managers) and advertisers, delivering value through insights development, measurement excellence, and innovation leadership. You will work backwards from advertiser needs to develop actionable insights that help optimize ad spend effectively with Amazon Ads. Key job responsibilities Strategic Insights, Analysis & Innovation • Develop and deliver bespoke analytical modules and insights that influence advertiser spending decisions and drive incremental revenue growth • Conduct deep-dive analyses to understand customer behavior, campaign effectiveness, and optimization opportunities, translating complex data into clear, actionable recommendations • Design and implement self-service analytics solutions and automated, scalable tools that enable Sales teams to execute insights independently • Build measurement frameworks and KPIs to track campaign effectiveness, ROI, and influence advertiser budget allocation strategies • Drive continuous improvement initiatives to standardize best practices and enhance the speed and quality of insights delivery across the organization Stakeholder Management & Collaboration • Work cross-functionally with Sales, Product, Marketing, and Data Science teams to solve complex business problems and present findings to senior leadership and external clients • Act as a trusted advisor to Account Executives and Account Managers on analytics strategy, supporting advertiser business reviews with comprehensive performance analysis • Manage multiple projects simultaneously while maintaining high standards of quality and accuracy • Mentor and develop junior team members on analytical methodologies and best practices • Foster a culture of data-driven decision making and share knowledge across teams to multiply impact beyond individual portfolios About the team The Amazon India Ads business functions as a strategic start-up with support and interest from business units across the company as well as Amazon’s top management. We are investing heavily in building a world class advertising business and are responsible for defining and delivering a collection of advertising products that drive awareness, engagement, discovery and sales. The work we do is strategically important to our Retail and Marketplace businesses for driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create new ad products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with an endless range of new opportunities. This role offers an opportunity to make a significant impact on the future vision for Amazon Ads in India Basic Qualifications: - 5+ years of business intelligence and analytics experience - Knowledge of methods for statistical inference (e.g. regression, experimental design, significance testing) - Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree - Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets - Experience communicating complex ideas to technical and non-technical audiences Preferred Qualifications: - Experience working in e-commerce - Master's degree in statistics, data science, or an equivalent quantitative field - Familiarity with marketing analytics including marketing mix modeling, multi-touch attribution, and incrementality testing Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Analytics & Insights Manager, Amazon Ads at Amazon Ads. Skills: Analytics, Insights, Data analysis, Stakeholder management. Develop analytical modules. Deliver analytical insights", "postedDate" : "2026-06-13T11:33:36.298", "createdAt" : "2026-06-13T11:33:36.298", "lastUpdated" : "2026-06-15T05:44:48.351", "ingestTimestamp" : "2026-06-13T11:33:36.298", "mongoId" : "6a2176d474d8ee00a0c1b024", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10435359/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical inference", "Regression", "Experimental design", "Significance testing", "SQL query optimization", "Complex datasets", "Leadership", "Analytics", "Insights", "Data analysis", "Stakeholder management", "Insights development", "Measurement excellence", "Innovation leadership", "Advertiser success", "Marketing strategies", "Campaign effectiveness", "Optimization opportunities", "Budget allocation", "Analytics strategy", "Manage multiple projects", "Advertising", "E-commerce", "Marketing analytics", "Marketing mix modeling", "Multi-touch attribution", "Incrementality testing" ], "skillCount" : 27, "jobCategory" : "marketing", "dataQualityScore" : 1.0, "_score" : 669.3288, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "69e104402beec4dd3def24b4", "title" : "Consultant, Analytics & Insights (A&I)", "company" : "Amazon Advertising LLC", "industry" : "Sales, Advertising, Account Management, Professional Services", "salary" : { "min" : 50000.0, "max" : 195400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T03:52:31.965", "fingerprint" : "6f6f0e42c21869f8faa98e3b546b7bb3c0c64d5af74cb3c39ee7bcc0c203efa4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10387357/apply", "externalId" : "c0951083-2650-408a-8dc7-2a643d3c0c35", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "Data analysis", "Analytics", "Insights", "Advertising strategy", "Marketing initiatives", "Business analysis" ], "hardSkillsList" : [ "Data modeling", "Statistical analysis", "Query writing", "Presentation design", "Presentation delivery" ], "softSkillsList" : [ "Storytelling" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Query writing", "level" : "intermediate" }, { "name" : "Presentation design", "level" : "intermediate" }, { "name" : "Presentation delivery", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Storytelling" } ], "majorSkills" : "Data analysis, Analytics, Insights, Advertising", "majorSkillsList" : [ "Data analysis", "Analytics", "Insights", "Advertising" ], "coreResponsibilities" : "Deliver insights for advertisers, Be analytical consultant for advertisers, Provide relevant insights, Advance relationships with senior decision makers, Establish oneself as go-to expert, Develop expertise in Amazon metrics, Evolve how we analyze data, Evolve how we communicate data, Drive decisions to increase data ease of use, Drive decisions to increase data availability, Conduct analyses leveraging untapped datasets, Write documents with recommendations, Influence how partners operate", "teamCollaboration" : "Work with sales; Work with product; Work with retail; Work with business partners; Work with internal teams; Work with external partners; Work with partner teams", "domainKnowledge" : "Amazon Advertising; Ecommerce advertising; Performance advertising; Marketing decision-making", "domainList" : [ "amazon-advertising", "ecommerce-advertising", "performance-advertising", "marketing-decision-making" ], "domainSpecificKnowledge" : [ "Amazon Advertising", "Ecommerce advertising", "Performance advertising", "Marketing decision-making" ], "communicationSkills" : "Storytelling; Presentations; Written communication; Verbal communication", "documentationSkills" : "Write documents", "problemSolvingSkills" : "Data-driven insights; Actionable recommendations", "outcomesObjectives" : "Drive advertiser businesses forward; Improve advertiser campaign effectiveness; Unlock business opportunities; Increase data ease of use; Increase data availability", "qualificationsBasic" : "5+ years client-facing data analysis, 3+ years consulting experience, 3+ years advertising experience, Advanced SQL, Write complex SQL queries, Translate technical analysis to insights, Run advanced statistical modelling with Python, Excellent data driven storytelling, Create compelling presentations, Deliver compelling presentations, Excellent organizational skills, Excellent interpersonal skills, Excellent written communication skills, Excellent verbal communication skills", "qualificationsPreferred" : "Master's degree or above, Experience with advertising publishers, Experience with marketing agencies, Experience with creative agencies, Experience in performance advertising role, Managed significant complexity challenges, Managed scaling challenges", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Advertising exists at the intersection of marketing and ecommerce and offers advertisers a rich array of innovative advertising solutions across Amazon owned properties, as well as third party properties Amazon operates. We believe that advertising, when done well, can greatly enhance the value of the customer experience and generate a positive return on investment for our advertising partners. We are currently looking for a highly skilled and motivated consultant, Analytics & Insights to join the team. This role is a key member of the Customer Success Team at Amazon Advertising, working with sales, product, retail and other Amazon business partners to analyze and improve advertisers’ performance on Amazon, in support of their marketing initiatives. Consultants, Analytics & Insights work with Amazon's unique data and translate it into high-quality and actionable insights and recommendations to improve the effectiveness of advertiser campaigns and unlock business opportunities. Day to day, the activities include analyzing metrics of success for a business or category, developing data-driven insights and recommendations and communicating recommendations in a clear and compelling fashion. Key job responsibilities • Deliver insights for some of the world’s largest advertisers to drive their businesses forward. • Be an analytical consultant for advertisers, by providing relevant insights that will be incorporated into upfront strategy discussions and negotiations. • Advance relationships with senior marketing decision makers (e.g. senior director, c-level) and establish oneself as go-to expert in at least one advanced analytical area of advertising. • Develop great expertise in Amazon’s proprietary metrics, working to constantly evolve how we analyze and communicate data-driven insights to our advertisers. • Drive decisions that increase the ease of use and availability of data to both internal teams and external partners. Conduct analyses which leverage previously untapped datasets. • Write documents with recommendations that influence how partners teams with Amazon Advertising operate, such as Account Management, Sales, or Product. About the team The Analytics & Insights (A&I) organization develops actionable insights using Amazon’s unique data to influence how advertisers promote their businesses. Our insights enhance their marketing decision-making, leading to them to be measurably more successful with Amazon. Basic Qualifications: - Experience translating technical aspects of analysis and metrics into actionable insights for the advertiser and both technical and non-technical stakeholders - Experience in advanced SQL & ability to write complex queries from scratch from multiple tables - Bachelor's degree plus 5+ years’ experience in client-facing data analysis roles. - 3+ years of consulting experience with a major consulting firm or 3+ years of advertising experience with a top advertiser (agency or client side). - Excellent data driven storytelling skills – you create and deliver compelling presentations with outstanding visuals to high level stakeholders. - Fluency with an Python – ability to run advanced statistical modelling and analysis with Python. - Excellent organizational, interpersonal, and communication skills (both written and verbal). Preferred Qualifications: - Experience with advertising publishers and marketing/creative agencies - Master's degree or above in marketing, advertising, business or equivalent - Experience in a performance advertising role where you managed significant complexity and scaling challenges. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 144,500.00 - 195,400.00 USD annually", "summaryDescription" : "Consultant, Analytics & Insights (A&I) at Amazon Advertising LLC. Skills: Data analysis, Analytics, Insights, Advertising. Deliver insights for advertisers. Be analytical consultant for advertisers", "postedDate" : "2026-06-13T06:18:08.267", "createdAt" : "2026-06-13T06:18:08.267", "lastUpdated" : "2026-06-15T03:52:31.965", "ingestTimestamp" : "2026-06-13T06:18:08.267", "mongoId" : "69e104402beec4dd3def24b4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10387357/apply", "salaryAnnualMin" : 50000, "salaryAnnualMax" : 195400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Statistical analysis", "Query writing", "Presentation design", "Presentation delivery", "Storytelling", "Data analysis", "Analytics", "Insights", "Advertising", "Advertising strategy", "Marketing initiatives", "Business analysis", "Amazon Advertising", "Ecommerce advertising", "Performance advertising", "Marketing decision-making" ], "skillCount" : 17, "jobCategory" : "marketing", "dataQualityScore" : 0.8888889, "_score" : 667.7691, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2176b974d8ee00a0c1aae8", "title" : "Data Engineer, Sales Insights, Analytics, Data Engineering and Science (SIADS)", "company" : "Amazon Web Services Singapore Private Limited", "industry" : "Corporate Operations, Sales Operations Job Family, Cloud Computing", "salary" : { "min" : 145000.0, "max" : 220000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data Engineers in Singapore, adjusted for a large technology company in the tech industry." }, "location" : "SGP", "locations" : [ "SGP" ], "timestamp" : "2026-06-15T03:12:27.872", "fingerprint" : "e743dd4970a06dddb44853c58cb6544861b6823695ae01c55858ea95f7178c57", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10439385/apply", "externalId" : "0f14592e-9a1e-48c1-83bd-1045ad55e48a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, AWS, Spark, AWS Glue", "professionalSkills" : [ "Data engineering", "Business intelligence", "Regional strategy", "Data models", "Analytical platforms", "Data quality", "Data governance" ], "hardSkillsList" : [ "Data transformation", "Data pipelines", "Cloud computing", "ETL processes", "Data ingestion", "Data quality validation" ], "hardSkills" : [ { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "Data quality validation", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Data analytics, Data infrastructure", "majorSkillsList" : [ "Data engineering", "Data analytics", "Data infrastructure" ], "coreResponsibilities" : "Own design, development, and maintenance of data analytics, Build and maintain APJ-specific data models and pipelines, Validate data quality against WW business standards, Design and maintain backend data infrastructure for analytics, Implement ETL processes, Develop monitoring capabilities for data quality and query, Collaborate on design and delivery of metrics, reports,, Ensure pipelines and data products meet requirements, Maintain compliance with information security policies, Maintain compliance with data governance standards", "teamCollaboration" : "Partnering with key stakeholders; Cross-functional agile teams; Regional leadership", "domainKnowledge" : "Sales operations; Finance; Business logic; Analytical requirements; Information security; Data governance", "domainList" : [ "sales-operations", "finance", "business-logic", "analytical-requirements", "information-security", "data-governance" ], "domainSpecificKnowledge" : [ "Sales operations", "Finance", "Business logic", "Analytical requirements", "Information security", "Data governance" ], "toolProficiency" : [ "SQL", "AWS", "Terraform", "CloudFormation", "CDK", "Apache Spark", "AWS Glue" ], "communicationSkills" : "Written communication; Verbal communication", "problemSolvingSkills" : "Data-driven decision making", "outcomesObjectives" : "Deliver data products that matter; Power SMGS business insights; Keep platforms reliable and responsive; Drive key business decisions", "qualificationsBasic" : "Written and verbal communication skills, Competent in performing data transformation using SQL, Experienced in managing and maintaining data pipelines, Proficient in cloud computing platforms (e.g., AWS)", "qualificationsPreferred" : "Experienced in Infrastructure-as-Code, Skilled in designing system solutions at scale, Knowledgeable in Apache Spark, Proficient in serverless ETL using AWS Glue, Skilled in automating data quality validation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join the cloud platform trusted by millions worldwide and own the data infrastructure that powers strategic business decisions across Asia Pacific and Japan (APJ). This is a hands-on, technically demanding role for an experienced data engineer who is passionate about building robust data products that enable teams to measure and grow the business. You will be part of a team that operates at the intersection of data engineering, business intelligence, and regional strategy, partnering with key stakeholders (e.g. Sales, Sales Operations, Finance, etc.), and regional leadership to deliver data products that matter. If you thrive in a fast-paced, high-growth environment where ownership, technical depth, and business judgement are equally valued — and where your pipelines, data models, and analytics platforms will serve field teams across key verticals and business units across APJ — this role is for you. Key job responsibilities - Own the design, development, and maintenance of the APJ SIADS' data analytics platform, including data pipelines, data lakes, and analytical and visualisation platforms that power SMGS business insights - Build and maintain APJ-specific data models and pipelines, ensuring alignment between worldwide definitions and APJ business logic, and validating data quality against WW business standards - Design and maintain the backend data infrastructure for end-user last-mile analytics tools, implementing ETL processes that ensure data is clean, fresh, and optimised for APJ analytical requirements - Develop monitoring capabilities for data quality and query performance to keep platforms reliable and responsive - Collaborate on the design and delivery of metrics, reports, analyses, and dashboards that drive key business decisions across APJ, in partnership with key stakeholders e.g., Sales, Sales Operations, Finance, etc. - Ensure pipelines and data products meet the requirements of field teams across key verticals and business units - Maintain compliance with information security policies and data governance standards for all infrastructure and software used by the team About the team The Sales Insights, Analytics, Data Engineering & Science (SIADS) organisation builds the data infrastructure and analytics products that power business decisions across AWS' Sales, Marketing, and Global Services (SMGS) organisation. We sit at the intersection of engineering and business strategy, partnering with key stakeholders (e.g., Sales, Sales Operations, Finance, etc.) to ensure the right data reaches the right people at the right time. Operating across time zones with both global and regional depth, we value technical excellence, sound business judgement, and clear communication. Amazon's data-driven culture starts here — and your work will be central to it. Basic Qualifications: - Strong written and verbal communication skills - Competent in performing data transformation using SQL - Experienced in managing and maintaining data pipelines - Proficient in cloud computing platforms (e.g., AWS) Preferred Qualifications: - Experienced in Infrastructure-as-Code (e.g., Terraform, CloudFormation, CDK) - Skilled in designing system solutions at scale - Knowledgeable in Apache Spark for large-scale data workloads - Proficient in serverless ETL using AWS Glue for data ingestion, transformation, and cataloguing - Skilled in automating data quality validation to detect anomalies and enforce data integrity Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Data Engineer, Sales Insights, Analytics, Data Engineering and Science (SIADS) at Amazon Web Services Singapore Private Limited. Skills: Data engineering, Data analytics, Data infrastructure. Own design, development, and maintenance of data analytics. Build and maintain APJ-specific data models and pipelines", "postedDate" : "2026-06-13T09:12:16.971", "createdAt" : "2026-06-13T09:12:16.971", "lastUpdated" : "2026-06-15T03:12:27.872", "ingestTimestamp" : "2026-06-13T09:12:16.971", "mongoId" : "6a2176b974d8ee00a0c1aae8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10439385/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data transformation", "Data pipelines", "Cloud computing", "ETL processes", "Data ingestion", "Data quality validation", "Data engineering", "Data analytics", "Data infrastructure", "Business intelligence", "Regional strategy", "Data models", "Analytical platforms", "Data quality", "Data governance", "Sales operations", "Finance", "Business logic", "Analytical requirements", "Information security", "SQL", "AWS", "Terraform", "CloudFormation", "CDK", "Apache Spark", "AWS Glue" ], "skillCount" : 27, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 666.80225, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2ca3b474d8ee00a09acff3", "title" : "Insight Lead", "company" : "GWI", "industry" : "Media", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Mid-Senior Insight Leads in London, UK, adjusted for the technology industry and company size." }, "location" : "London, UK", "locations" : [ "London", "UK" ], "timestamp" : "2026-06-15T03:24:28.919", "fingerprint" : "26b60a7ec658d53285de0e45cb4ad40deec6be592cbae123fb79ba0fa1d4542d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/globalwebindex/jobs/8568344002", "externalId" : "8568344002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid-Senior", "technicalSkills" : "SQL", "professionalSkills" : [ "Data storytelling", "Client presentations", "Team operations" ], "hardSkillsList" : [ "Data analysis", "Statistical analysis" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Data storytelling, Client management", "majorSkillsList" : [ "Data storytelling", "Client management" ], "coreResponsibilities" : "Lead insight delivery, Analyse GWI datasets, Analyse bespoke research studies, Create high-quality deliverables, Translate complex data, Present data to clients, Present data to internal teams, Support Vertical Lead on RFP responses, Support Vertical Lead on proposals, Support Vertical Lead on team operations, Mentor junior analysts", "teamCollaboration" : "Internal teams; Junior team members", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Audience understanding", "domainList" : [ "audience-understanding" ], "domainSpecificKnowledge" : [ "Audience understanding" ], "toolProficiency" : [ "Microsoft Office", "Google Suite" ], "communicationSkills" : "Client presentations; Clear narratives; Engaging content", "continuousLearning" : "Accredited learning; Leadership development", "problemSolvingSkills" : "Data-driven stories", "specialRequirements" : "Minimum 1 day per week", "outcomesObjectives" : "Make clients' strategies sharper", "qualificationsBasic" : "Proven experience managing projects, Proven experience managing clients, Proficiency in Microsoft Office, Google experience", "qualificationsPreferred" : "Survey platforms experience is a plus, Analytics tools experience is a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Location: London, UK Weekly office requirement: Minimum 1 day per week – Wednesdays Employment type: PermanentSeniority level: Mid-Senior At GWI we're always looking for extraordinary people who thrive on making an extraordinary impact. Right now we're looking for an Insight Manager to play a key role in our Insight Services team in London. If that's you, and making a difference gets you out of bed in the morning, keep reading. It could be the start of something, well, extraordinary. Sounds great, what will I be doing? \uD83E\uDD14 As our Insight Manager you’ll be passionate about uncovering data-driven stories that shape how the world’s biggest brands understand their audiences. In this role, you’ll turn GWI’s rich datasets into compelling insights, reports, and presentations that reveal the unexpected and make our clients’ strategies sharper. A few things you'll be responsible for: \uD83D\uDC49 Lead end-to-end insight delivery on client projects across regions. \uD83D\uDC49 Analyse GWI datasets and bespoke research studies to surface trends and patterns that align with client objectives. \uD83D\uDC49 Create high-quality deliverables that translate complex data into clear, compelling narratives — and present them confidently to clients and internal teams. \uD83D\uDC49 Support the Vertical Lead on RFP responses, proposals, team operations, and mentoring junior analysts. It's also fun; shaking things up is what working for GWI is all about. You'll need to be flexible, comfortable with continuous change, and working in a high-tempo environment. What do I need to bring with me? \uD83E\uDDF3 You'll need to be able to demonstrate the core skills this role requires. You don't have to tick all the boxes right away; the important thing is that you're willing to learn. Here's what the team will be looking for in you: \uD83D\uDC49 Proven experience managing projects and clients. \uD83D\uDC49 A talent for data storytelling — translating numbers into narratives and surfacing insights that challenge assumptions or reveal something new. \uD83D\uDC49 Exceptional attention to detail and a flair for writing clear, engaging content. \uD83D\uDC49 Proficiency in Microsoft Office and Google Slides; experience with survey platforms or analytics tools is a plus. \uD83D\uDC49 Strong organisational and communication skills — comfortable running client presentations, managing multiple workstreams, and mentoring junior team members. What We Offer \uD83E\uDDD8 At GWI, you’ll find meaningful work, visible impact, and a culture that empowers you to do your best. Our package includes: Time to recharge – 25 days’ annual leave, plus office closures over the holidays. Health & wellbeing – Health cash plan, enhanced family benefits, carer days, and mental health support. Financial benefits – Competitive salary, 4% pension matching, and recognition programs that celebrate success. Flexibility & balance – Flexitime, early Friday finishes, hybrid and remote options, plus a “work from home” budget. Career growth – Accredited learning, leadership development, and global career mobility. Community & impact – DE&I initiatives, volunteering opportunities, donation matching, and payroll giving. Put all that together and GWI is the friendliest, most fulfilling place any of us has ever worked. Diversity, Equity & Inclusion \uD83E\uDEF6 Diversity is fundamental to who we are—as a data company and as a workplace. Our data reflects global realities, and so must our teams. We strive to build a workforce as diverse and inclusive as the insights we deliver. As a Disability Confident employer, we welcome applications from disabled candidates and are committed to making adjustments throughout the hiring process—whether that's extra time, materials in advance or a different format, breaks, an adjusted interview format, assistive tools, or flexible scheduling. We're happy to discuss whatever would work best for you. We actively encourage applications from underrepresented and marginalised communities. At GWI, you'll find a place to contribute meaningfully, grow professionally, and belong fully. #li-hybrid #LI-NIKOSSS1", "summaryDescription" : "Insight Lead at GWI. Skills: Data storytelling, Client management. Lead insight delivery. Analyse GWI datasets", "postedDate" : "2026-06-13T20:58:46.449", "createdAt" : "2026-06-13T20:58:46.449", "lastUpdated" : "2026-06-15T03:24:28.919", "ingestTimestamp" : "2026-06-13T20:58:46.449", "mongoId" : "6a2ca3b474d8ee00a09acff3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Statistical analysis", "Mentoring", "Data storytelling", "Client management", "Client presentations", "Team operations", "Project management", "Audience understanding", "Microsoft Office", "Google Suite" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 661.1958, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69d5e4972beec4dd3d931a04", "title" : "Senior Customer Insights Manager, Customer Experience", "company" : "Zappos.com LLC", "industry" : "Business Intelligence, Planning/Development, subsidiaries", "salary" : { "min" : 130000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T01:37:04.930", "fingerprint" : "0c82aefa1a33eb9187884f4535c784ce545481ddbe70076fc402047e97c1ec2c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10384387/apply", "externalId" : "e48c1531-7535-4fe1-9628-50c34b22ce4c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Tableau, Power BI", "professionalSkills" : [ "Customer segmentation", "Customer intelligence", "Customer lifecycle", "Customer behavior", "Customer experience", "Customer analytics", "Customer value", "Customer strategies", "Customer communication", "Customer forecast" ], "hardSkillsList" : [ "Data analysis", "Business intelligence", "Data-driven insights", "Analytical skills", "Customer behavior analysis", "Retail dynamics analysis", "Segmentation strategies", "Customer journey analysis", "Customer lifecycle analysis", "Customer engagement analysis", "Performance deep dives", "Signal identification", "Actionable strategy translation", "Incrementality testing", "Holdout studies", "Correlation reporting", "Metric tracking", "KPI measurement", "Ad-hoc reporting", "Scalable infrastructure", "Analytical infrastructure", "Test interpretation", "Holdout result interpretation", "Incremental value assessment", "Communication optimization", "Segment-specific experiences", "Scenario planning", "Analytical inputs" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Data-driven insights", "level" : "intermediate" }, { "name" : "Analytical skills", "level" : "intermediate" }, { "name" : "Customer behavior analysis", "level" : "intermediate" }, { "name" : "Retail dynamics analysis", "level" : "intermediate" }, { "name" : "Segmentation strategies", "level" : "intermediate" }, { "name" : "Customer journey analysis", "level" : "intermediate" }, { "name" : "Customer lifecycle analysis", "level" : "intermediate" }, { "name" : "Customer engagement analysis", "level" : "intermediate" }, { "name" : "Performance deep dives", "level" : "intermediate" }, { "name" : "Signal identification", "level" : "intermediate" }, { "name" : "Actionable strategy translation", "level" : "intermediate" }, { "name" : "Incrementality testing", "level" : "intermediate" }, { "name" : "Holdout studies", "level" : "intermediate" }, { "name" : "Correlation reporting", "level" : "intermediate" }, { "name" : "Metric tracking", "level" : "intermediate" }, { "name" : "KPI measurement", "level" : "intermediate" }, { "name" : "Ad-hoc reporting", "level" : "intermediate" }, { "name" : "Scalable infrastructure", "level" : "intermediate" }, { "name" : "Analytical infrastructure", "level" : "intermediate" }, { "name" : "Test interpretation", "level" : "intermediate" }, { "name" : "Holdout result interpretation", "level" : "intermediate" }, { "name" : "Incremental value assessment", "level" : "intermediate" }, { "name" : "Communication optimization", "level" : "intermediate" }, { "name" : "Segment-specific experiences", "level" : "intermediate" }, { "name" : "Scenario planning", "level" : "intermediate" }, { "name" : "Analytical inputs", "level" : "intermediate" } ], "majorSkills" : "Customer insights, Data analysis, Business intelligence", "majorSkillsList" : [ "Customer insights", "Data analysis", "Business intelligence" ], "coreResponsibilities" : "Develop customer segmentation frameworks, Execute deep dives into segment performance, Surface insights, Identify signals of momentum, Identify signals of risk, Translate customer intelligence into strategies, Improve customer lifetime value, Test incrementality through holdout studies, Iterate based on measured impact, Develop key customer metrics, Track key customer metrics, Measure effectiveness of customer strategies, Maintain ongoing reporting, Develop capabilities to answer ad-hoc questions, Build analytical infrastructure, Support ongoing analytics needs, Support evolving analytics needs, Support incrementality measurement, Interpret tests, Interpret holdout results, Assess strategy impact, Optimize customer communication strategies, Optimize segment-specific experiences, Partner with Finance for forecast, Partner with Finance for scenario planning, Provide analytical inputs for business planning, Provide analytical inputs for investment decisions", "teamCollaboration" : "Lifecycle Marketing; Finance; Data Engineering; Cross-functional partners", "domainKnowledge" : "Ecommerce KPIs; Customer journeys; Customer segmentation; Customer lifecycle; Customer behavior; Retail dynamics", "domainList" : [ "ecommerce-kpis", "customer-journeys", "customer-segmentation", "customer-lifecycle", "customer-behavior", "retail-dynamics" ], "domainSpecificKnowledge" : [ "Ecommerce KPIs", "Customer journeys", "Customer segmentation", "Customer lifecycle", "Customer behavior", "Retail dynamics" ], "toolProficiency" : [ "Tableau", "Power BI", "Excel" ], "problemSolvingSkills" : "Analytical skills", "outcomesObjectives" : "Measurably improve customer lifetime value; Drive incremental customer value", "qualificationsBasic" : "5+ years analytical field experience, 3+ years writing SQL queries, 3+ years creating BI reports, Bachelor's degree, Experience defining requirements, Experience using data and metrics, Experience with Excel, Experience with SQL, Experience making business recommendations, Experience influencing stakeholders", "qualificationsPreferred" : "MBA, Generative AI tools usage, Learn effective prompting practices, Learn evaluation practices", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Zappos is looking for a customer obsessed Customer Insights Analyst to join the Customer Analytics organization. This role will be pivotal in shaping how we understand, engage with, and grow our customer base through data-driven insights. The candidate will have a strong understanding of ecommerce KPIs, customer journeys, and segmentation strategies that span the full customer lifecycle. The right candidate will have the analytical skills to answer strategic questions that are complex, dynamic, and not always clearly defined. The candidate must possess strong technical skills, including proficiency in SQL, data analysis tools, and visualization platforms, while maintaining a deep understanding of customer behavior and retail dynamics. The ideal candidate will be passionate about deeply understanding who our customer is, what motivates them, and how we can improve their experience. They should have a collaborative mindset that enables them to work effectively across Lifecycle Marketing, Finance, Data Engineering, and other cross-functional partners. This position sits within the Customer Experience organization. Key job responsibilities Own the development and of Zappos customer segmentation frameworks spanning value, behavior, lifecycle stage, and engagement patterns. Execute rigorous deep dives into segment performance to surface insights and identify early signals of momentum or risk. Translate customer intelligence into actionable strategies across lifecycle marketing, discovery, and acquisition targeting that measurably improve customer lifetime value. Test incrementality through holdout studies and iterate based on measured impact rather than correlation-based reporting. Develop and track key customer metrics and KPIs to measure the effectiveness of customer strategies. Maintain ongoing reporting and develop capabilities to answer ad-hoc business questions with speed and accuracy Build scalable analytical infrastructure in partnership with Data Engineering to support ongoing and evolving customer analytics needs Support incrementality measurement by interpreting tests and holdout results to assess whether strategies are driving incremental customer value. Partner closely with Lifecycle Marketing to optimize customer communication strategies and segment-specific experiences across all channels Partner with Finance for customer forecast and scenario planning, providing analytical inputs that support business planning and investment decisions Support incrementality measurement by interpreting tests and holdout results to assess whether lifecycle marketing strategies are driving incremental customer value About the team The F2 Subsidiary Customer Experience org supports both Zappos and Shopbop, Amazon Fashion subsidiary businesses with teams in New York, NY, Madison, WI, and Las Vegas, NV. Basic Qualifications: - 5+ years of tax, finance or a related analytical field experience - 3+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience - Bachelor's degree - Experience defining requirements and using data and metrics to draw business insights - Experience with Excel - Experience with SQL - Experience making business recommendations and influencing stakeholders Preferred Qualifications: - MBA - Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices - Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 130,000.00 - 185,000.00 USD annually", "summaryDescription" : "Senior Customer Insights Manager, Customer Experience at Zappos.com LLC. Skills: Customer insights, Data analysis, Business intelligence. Develop customer segmentation frameworks. Execute deep dives into segment performance", "postedDate" : "2026-06-13T02:46:19.358", "createdAt" : "2026-06-13T02:46:19.358", "lastUpdated" : "2026-06-15T01:37:04.930", "ingestTimestamp" : "2026-06-13T02:46:19.358", "mongoId" : "69d5e4972beec4dd3d931a04", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10384387/apply", "salaryAnnualMin" : 130000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Business intelligence", "Data-driven insights", "Analytical skills", "Customer behavior analysis", "Retail dynamics analysis", "Segmentation strategies", "Customer journey analysis", "Customer lifecycle analysis", "Customer engagement analysis", "Performance deep dives", "Signal identification", "Actionable strategy translation", "Incrementality testing", "Holdout studies", "Correlation reporting", "Metric tracking", "KPI measurement", "Ad-hoc reporting", "Scalable infrastructure", "Analytical infrastructure", "Test interpretation", "Holdout result interpretation", "Incremental value assessment", "Communication optimization", "Segment-specific experiences", "Scenario planning", "Analytical inputs", "Customer insights", "Customer segmentation", "Customer intelligence", "Customer lifecycle", "Customer behavior", "Customer experience", "Customer analytics", "Customer value", "Customer strategies", "Customer communication", "Customer forecast", "Ecommerce KPIs", "Customer journeys", "Retail dynamics", "Tableau", "Power BI", "Excel" ], "skillCount" : 45, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 659.9216, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69e104402beec4dd3def24e7", "title" : "Sr. Technical Program Manager (TPM), WW Promotions and Events Data and Insights", "company" : "Amazon Development Centre Canada ULC", "industry" : "Project/Program/Product Management--Technical, Technical Program Management, north america stores", "salary" : { "min" : 100000.0, "max" : 214000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, CAN", "locations" : [ "Vancouver, British Columbia, CAN" ], "timestamp" : "2026-06-15T03:05:25.517", "fingerprint" : "67523fa2822eb2f343c5f0c050a3a112db6c3e7e0bb301c4f2aa9194e3ef026e", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10386401/apply", "externalId" : "b2c90e6d-043c-4fa2-9465-37ad35178abe", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Data Engineering, Machine Learning, BI Engineering", "professionalSkills" : [ "Program Management", "Data Governance", "Business Analytics", "Product Development", "Roadmapping", "Metrics Development", "Stakeholder Management", "Requirements Definition", "Tradeoff Analysis" ], "hardSkillsList" : [ "Promotions Data Management", "Data Sourcing", "Data Execution", "Data Optimization", "Automated Mechanisms", "Self-Serve Mechanisms", "Metrics Measurement", "Impact Measurement", "Process Improvement", "Strategy Definition", "Technical Concept Communication" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Promotions Data Management", "level" : "intermediate" }, { "name" : "Data Sourcing", "level" : "intermediate" }, { "name" : "Data Execution", "level" : "intermediate" }, { "name" : "Data Optimization", "level" : "intermediate" }, { "name" : "Automated Mechanisms", "level" : "intermediate" }, { "name" : "Self-Serve Mechanisms", "level" : "intermediate" }, { "name" : "Metrics Measurement", "level" : "intermediate" }, { "name" : "Impact Measurement", "level" : "intermediate" }, { "name" : "Process Improvement", "level" : "intermediate" }, { "name" : "Strategy Definition", "level" : "intermediate" }, { "name" : "Technical Concept Communication", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Technical Program Management, Data Insights, Promotions Data", "majorSkillsList" : [ "Technical Program Management", "Data Insights", "Promotions Data" ], "coreResponsibilities" : "Own development and delivery of key programs, Lead planning, execution, and delivery of projects, Own communication for technical delivery, Support sprint planning and reporting, Support annual roadmapping cycles, Identify automated, self-serve mechanisms, Develop automated, self-serve mechanisms, Work with internal stakeholders to drive adoption, Support team in developing metrics, Measure metrics impact, Identify ways to improve metrics, Thrive working with stakeholders, Define strategy and requirements, Align on path forward, Communicate regularly with senior leadership, Make technical concepts intuitive", "teamCollaboration" : "Cross-organizational teams; Functional teams; Engineering teams; Machine Learning teams; Data Governance teams; Business teams; Senior leadership; Partner organizations; Key stakeholders across the Globe", "projectManagementSkills" : [ "Scope Management", "Schedule Management", "Budget Management", "Quality Management", "Risk Management", "Critical Path Management", "Process Building", "Release Schedule Coordination", "Roadmapping" ], "domainKnowledge" : "Promotions Data; Selling Partner Demand; Inventory Clearance; Traffic Growth; Machine Learning Models; Business Analytics; Promotions Execution; Promotions Optimization", "domainList" : [ "promotions-data", "selling-partner-demand", "inventory-clearance", "traffic-growth", "machine-learning-models", "business-analytics", "promotions-execution", "promotions-optimization" ], "domainSpecificKnowledge" : [ "Promotions Data", "Selling Partner Demand", "Inventory Clearance", "Traffic Growth", "Machine Learning Models", "Business Analytics", "Promotions Execution", "Promotions Optimization" ], "communicationSkills" : "Technical Delivery Communication; Senior Leadership Communication; Make concepts intuitive", "problemSolvingSkills" : "Identify opportunities; Complex tradeoffs", "outcomesObjectives" : "Drive millions in incremental revenue", "qualificationsBasic" : "5+ years technical program management, 7+ years working with engineering teams, 3+ years software development, 5+ years technical program management with software engineering teams, Experience managing cross functional teams, Experience building processes, Experience coordinating release schedules", "qualificationsPreferred" : "5+ years project management disciplines, Experience defining KPIs/SLAs, Reporting to senior leadership, Usage of generative AI tools, Willingness to learn AI prompting, Ability to recognize AI opportunities", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you have a passion for leading large, cross-organizational, and functional programs and initiatives? Are you looking for an opportunity to join a team that has a global and cross Amazon scope? If yes, we are looking for somebody with your enthusiasm and skills to work as part of our team. Amazon’s WW Promotions team drives time-bound discounts on high-quality products to reinforce our price leadership and empower Selling Partners (SPs) with incremental demand, inventory clearance, and traffic growth. As the central stewards of promotions data, our Data & Analytics team delivers trusted, governed datasets that power product development, machine learning models, and business analytics across Amazon. We are seeking a Senior Technical Program Manager to lead complex, cross-functional programs that enable the sourcing, execution, and optimization of promotions at scale. You will collaborate with engineering, machine learning, data governance, and business teams to design, launch, and iterate on programs that transform raw promotional data into actionable insights, driving millions in incremental revenue for Amazon and SPs. Key job responsibilities Key job responsibilities - Own the development and delivery of key programs across Data and BI engineering teams - Lead planning, execution, and delivery of projects across the different workstreams - Own communication for technical delivery across these projects with senior leadership and partner organizations - Support sprint planning and reporting for our engineering teams, and support annual roadmapping cycles - Identify and develop automated, self-serve mechanisms to scale currently manual processes where relevant, and work with internal stakeholders to drive adoption - Support the team in developing metrics, measuring their impact, and identifying ways to improve against them - Thrive in working with key stakeholders across the Globe to define strategy and requirements, and to align on a path forward when there are complex tradeoffs - Communicate regularly with senior leadership on status, risks, and change control - Make technical concepts intuitive for non-technical audiences, especially in regards to infrastructure constraints Basic Qualifications: - 5+ years of technical product or program management experience - 7+ years of working directly with engineering teams experience - 3+ years of software development experience - 5+ years of technical program management working directly with software engineering teams experience - Experience managing programs across cross functional teams, building processes and coordinating release schedules Preferred Qualifications: - 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience - Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules - Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership - Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices. - Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, BC, Vancouver - 128,100.00 - 214,000.00 CAD annually", "summaryDescription" : "Sr. Technical Program Manager (TPM), WW Promotions and Events Data and Insights at Amazon Development Centre Canada ULC. Skills: Technical Program Management, Data Insights, Promotions Data. Own development and delivery of key programs. Lead planning, execution, and delivery of projects", "postedDate" : "2026-06-13T05:01:52.883", "createdAt" : "2026-06-13T05:01:52.883", "lastUpdated" : "2026-06-15T03:05:25.517", "ingestTimestamp" : "2026-06-13T05:01:52.883", "mongoId" : "69e104402beec4dd3def24e7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10386401/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Promotions Data Management", "Data Sourcing", "Data Execution", "Data Optimization", "Automated Mechanisms", "Self-Serve Mechanisms", "Metrics Measurement", "Impact Measurement", "Process Improvement", "Strategy Definition", "Technical Concept Communication", "Leadership", "Technical Program Management", "Data Insights", "Promotions Data", "Program Management", "Data Governance", "Business Analytics", "Product Development", "Roadmapping", "Metrics Development", "Stakeholder Management", "Requirements Definition", "Tradeoff Analysis", "Scope Management", "Schedule Management", "Budget Management", "Quality Management", "Risk Management", "Critical Path Management", "Process Building", "Release Schedule Coordination", "Selling Partner Demand", "Inventory Clearance", "Traffic Growth", "Machine Learning Models", "Promotions Execution", "Promotions Optimization" ], "skillCount" : 38, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "_score" : 659.41345, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2a500074d8ee00a05f19bf", "title" : "Payments Fraud Data & Insights (Senior Associate)", "company" : "The Psr", "industry" : "Financial Services", "salary" : { "min" : 59200.0, "max" : 69000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "London", "locations" : [ "London", "United Kingdom" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified" ], "timestamp" : "2026-06-13T10:15:31.363", "fingerprint" : "ed2613dca091b21431965f78300edfa9cf6ca2b47cfc5115bd2fb7c4a439fca2", "source" : "workday", "language" : "en", "applyUrl" : "https://fca.wd3.myworkdayjobs.com/PSR_Careers/job/London/Payments-Data---Policy-Lead_JR0021597-3", "externalId" : "JR0021597", "industryFunction" : { }, "locationPoint" : "36.47606,-119.44318", "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Fraud prevention", "Consumer protection", "Data reporting", "Data submission" ], "hardSkillsList" : [ "Data analysis", "Trend identification", "Issue identification", "Complex datasets", "Large-scale data", "Project delivery", "Data collection", "Data quality", "Data analysis", "Data interpretation", "Trend analysis", "Issue investigation", "Data requirements", "Data submission", "Data clarity", "Report drafting", "Data evidence", "Data reporting", "Analytical work", "Regulatory work" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Trend identification", "level" : "intermediate" }, { "name" : "Issue identification", "level" : "intermediate" }, { "name" : "Complex datasets", "level" : "intermediate" }, { "name" : "Large-scale data", "level" : "intermediate" }, { "name" : "Project delivery", "level" : "intermediate" }, { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Trend analysis", "level" : "intermediate" }, { "name" : "Issue investigation", "level" : "intermediate" }, { "name" : "Data requirements", "level" : "intermediate" }, { "name" : "Data submission", "level" : "intermediate" }, { "name" : "Data clarity", "level" : "intermediate" }, { "name" : "Report drafting", "level" : "intermediate" }, { "name" : "Data evidence", "level" : "intermediate" }, { "name" : "Data reporting", "level" : "intermediate" }, { "name" : "Analytical work", "level" : "intermediate" }, { "name" : "Regulatory work", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Data reporting, Fraud prevention", "majorSkillsList" : [ "Data analysis", "Data reporting", "Fraud prevention" ], "coreResponsibilities" : "Review consultation responses, Resolve issues, Ensure alignment on data reporting, Ensure alignment on methodology, Ensure alignment on delivery plans, Project manage delivery process, Manage data collection, Manage data publication, Manage dedicated inbox, Implement data quality framework, Oversee governance processes, Identify risks, Escalate risks, Analyse submitted data, Interpret findings, Identify trends, Investigate emerging issues, Investigate potential issues, Engage with PSPs, Engage with external stakeholders, Clarify data requirements, Resolve discrepancies, Resolve errors, Support data submission, Communicate complex data, Prepare written responses, Draft reports, Present findings, Take ownership of drafting report, Support supervision priorities, Support policy priorities, Contribute to analytical work, Contribute to reporting work, Contribute to regulatory work", "teamCollaboration" : "Internal stakeholders; Data analysts; External stakeholders; Industry partners; Government partners; Regulatory partners; Multidisciplinary team", "projectManagementSkills" : [ "Project management", "Plan work", "Work to deadlines", "Understand risks", "Understand opportunities", "Understand dependencies" ], "domainKnowledge" : "Payment systems; APP scams; Fraud prevention; Consumer protection; Data reporting; Data transparency", "domainList" : [ "payment-systems", "app-scams", "fraud-prevention", "consumer-protection", "data-reporting", "data-transparency" ], "domainSpecificKnowledge" : [ "Payment systems", "APP scams", "Fraud prevention", "Consumer protection", "Data reporting", "Data transparency" ], "toolProficiency" : [ "Microsoft Teams" ], "communicationSkills" : "Written communication; Oral communication; Presentation skills; Plain English; Written responses; Report drafting; Presenting findings", "documentationSkills" : "Report drafting", "problemSolvingSkills" : "Issue identification; Issue investigation; Resolve discrepancies; Resolve errors", "qualificationsBasic" : "Data analysis experience, Experience with large-scale data, Experience in supervisory environment, Experience in regulatory environment, Experience in policy environment, Experience of project delivery, Effective written communication, Effective oral communication, Effective presentation skills, Highly developed relationship building skills, Highly developed influencing skills, Effective prioritisation skills, Ability to exercise judgement", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "**Job title:**** Payments Fraud Data & Insights (Senior Associate) ** **Department: Payment Systems Market Interventions** * **Salary:** National (Edinburgh and Leeds) ranging from £53,800 to £62,733 and London from £59,200 to £69,000 (salary offered will be based on skills and experience) * **This role is graded as:** Senior Associate - Regulatory * **Your external recruitment contact is** Raimonda via [raimonda.stankute@fca.org.uk](mailto:raimonda.stankute@fca.org.uk) * **Your internal recruitment contact is** Katie via [Katherine.Baker@fca.org.uk](mailto:Katherine.Baker@fca.org.uk) * Applications must be submitted through our online portal. Applications sent via social media or email will not be accepted. **_About the PSR and team_** Every time anyone uses a cash machine, transfers money, uses contactless, or gets paid, they use a payment system. Payment systems are always evolving and the PSR is here to make sure they work well for everyone. Follow this link to find out more [About The PSR.](https://www.psr.org.uk/about-us/) The PSR is an independent economic regulator led by interim Managing Director, David Geale – who is also FCA Executive Director, Payments and Digital Finance. Operationally the PSR is currently an independent subsidiary of the Financial Conduct Authority (FCA), however in March 2025 the Prime Minister announced that the PSR would be consolidated into the FCA, a pragmatic next step in simplifying regulation of payments. This transition will likely take some time and will follow a Government consultation, although the Government has already been clear that payment systems must continue to be effectively regulated. For the time being, therefore, the PSR continues to focus on delivering its important and impactful programme of work, collaborating closely with the FCA. The supervision team you are applying to join will ultimately move into the FCA when the new legislation takes effect. Candidates should be aware, therefore, that there may be changes to their responsibilities as consolidation into the FCA progresses. This position involves supporting the PSR’s work on APP scams, with a focus on prevention and consumer protection. In October 2024, we introduced a world-first mandatory reimbursement requirement, alongside publishing performance data on how firms reimburse victims and respond to APP scams. We have also published transparency data highlighting the platforms and services most commonly exploited by fraudsters to contact victims and provided regular updates on implementation. These publications provide market insights, inform consumers and encourage firms to strengthen fraud prevention. They have generated significant interest from firms, government and regulators and have directly supported the FCA’s supervisory activity. As we consider the future direction of our performance and data transparency strategy, this is a great opportunity for a self-starter to lead and shape this high-priority work, helping to deliver valuable insights for consumers, firms and regulators. **_Role responsibilities_** * Work closely with internal stakeholders (including policy, legal, data and communications teams) to review consultation responses, resolve issues and ensure alignment on the future data reporting approach, methodology as well as delivery plans * Project manage the end-to-end delivery process, from data collection through to publication, including managing a dedicated inbox, implementing a data quality framework, overseeing governance processes and proactively identifying and escalating risks * Collaborate with data analysts to analyse submitted data, interpret findings, identify trends and investigate emerging or potential issues * Engage professionally with PSPs and other external stakeholders (including industry, government and regulatory partners) to clarify data requirements, resolve discrepancies and errors and support effective data submission * Communicate complex data clearly and confidently in plain English, including preparing written responses, drafting reports and presenting findings in senior-level, working-level and external stakeholder meetings * Take ownership of drafting the final report, ensuring clear, concise and well-evidenced findings supported by robust data * Support wider Payment Systems Regulator supervision and policy priorities as required, contributing to related analytical, reporting and regulatory work across the team ** _Skills required_** **Minimum:** * Data analysis experience, including identifying trends and issues in complex datasets, with experience working with large-scale and complex data environments * Experience of working in a supervisory, policy or regulatory environment * Experience of project delivery – including ability to plan and work to deadlines, understand risks, opportunities and dependencies **Essential:** * Effective written, oral communication and presentation skills, including the ability to distil complex issues into succinct messages and present confidently to a variety of internal and external stakeholders * Highly developed relationship building and influencing skills and an ability to work with other team members and experts, internally and externally * Effective prioritisation skills with the ability to manage competing demands and focus effort where it delivers greatest impact * An ability to exercise judgement in collaboration with a multidisciplinary team, including economists, lawyers, payment specialists and other policy advisors * An ability to take into account potentially conflicting views without losing sight of overall strategic aims and objectives ** _Benefits_** * 25 days annual leave plus bank holidays * Non-contributory pension (8–12% depending on age) and life assurance at eight times your salary * Private healthcare with Bupa, income protection and 24/7 Employee Assistance * 35 hours of paid volunteering annually * Hybrid model where employees work a minimum of 40% in the office each month (expectation of 50% for senior leaders). Changing from September to a minimum of 50% in the office each month (expectation of 60% for Directors and Executive Directors) * A flexible benefits scheme designed around your lifestyle For a full list of our benefits and our recruitment process as a whole visit [our benefits page](https://www.fca.org.uk/careers/experienced-professionals). **_Our values and culture_** Our colleagues are the key to our success as a regulator. We are committed to fostering a diverse and inclusive culture: one that’s free from discrimination and bias, celebrates difference, and supports colleagues to deliver at their best. We believe that our differences and similarities enable us to be a better organisation – one that makes better decisions, drives innovation, and delivers better regulation. If you require any adjustments due to a disability or condition, your recruiter is here to help - reach out for tailored support. We welcome diverse working styles and aim to find flexible solutions that suit both the role and individual needs, including options like part-time and job sharing where applicable. **_Disability confident: our hiring approach_** We’re proud to be a [Disability Confident Employer](https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.gov.uk%2Fgovernment%2Fcollections%2Fdisability-confident-campaign&data=05%7C02%7CStephanie.Corker%40fca.org.uk%7C8055792d0d054cf29cf408ddb7e56815%7C551f9db3821c44578551b43423dce661%7C1%7C0%7C638868918099646424%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=oBu5OPmMia9nIWEI%2Fj9Y2ATUXy%2FkMTQ8bdw8UJzYc%2FY%3D&reserved=0), and therefore, people or individuals with disabilities and long-term conditions who best meet the minimum criteria for a role will go through to the next stage of the recruitment process. In cases of high application volumes we may progress applicants whose experience most closely matches the role’s key requirements. **_Useful information and timelines_** Timeline: * Job advert closes: Midnight, 22nd June 2026 * CV Review/Shortlist: 24th June 2026 * Interview: w/c 29th June 2026 * Your Recruiter will discuss the process in detail with you during screening for the role, therefore, please make them aware if you are going to be unavailable for any date during this time. **Want to learn more before applying?** Join our upcoming webinar on Tuesday, 16 June 2026 from 13:00 to 14:00, to hear directly from our hiring team about this role, our company culture and what we’re looking for in the ideal candidate. **__Webinar Details:__** Tuesday, 16 June 2026 from 13:00 to 14:00, **Microsoft Teams meeting** **Join:**[https://teams.microsoft.com/meet/353601493804443?p=in4Hmyf3qgH4WrNHlA](https://teams.microsoft.com/meet/353601493804443?p=in4Hmyf3qgH4WrNHlA) Meeting ID: 353 601 493 804 443 Passcode: Mf7QK7Bm [Need help?](https://aka.ms/JoinTeamsMeeting?omkt=en-GB) | [System reference](https://teams.microsoft.com/l/meetup-join/19%3ameeting_NTVkNmJkZTktZmNlMy00MThkLWEzM2MtZjQ3OWFiZWNiNjcx%40thread.v2/0?context=%7b%22Tid%22%3a%22551f9db3-821c-4457-8551-b43423dce661%22%2c%22Oid%22%3a%22c9d0ac1a-1619-445d-83a7-85d96856b805%22%7d) **Dial in by phone** +44 20 3321 5238,,757514082# United Kingdom, City of London [Find a local number](https://dialin.teams.microsoft.com/2efe183f-43f4-4b8d-aabe-25dfead2112c?id=757514082) Phone conference ID: 757 514 082#", "summaryDescription" : "Payments Fraud Data & Insights (Senior Associate) at The Psr. Skills: Data analysis, Data reporting, Fraud prevention. Review consultation responses. Resolve issues", "postedDate" : "2026-06-11T15:32:24.976", "createdAt" : "2026-06-11T15:32:24.879", "lastUpdated" : "2026-06-13T10:15:31.363", "ingestTimestamp" : "2026-06-11T15:32:24.879", "mongoId" : "6a2a500074d8ee00a05f19bf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://fca.wd3.myworkdayjobs.com/PSR_Careers/job/London/Payments-Data---Policy-Lead_JR0021597-3", "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Trend identification", "Issue identification", "Complex datasets", "Large-scale data", "Project delivery", "Data collection", "Data quality", "Data interpretation", "Trend analysis", "Issue investigation", "Data requirements", "Data submission", "Data clarity", "Report drafting", "Data evidence", "Data reporting", "Analytical work", "Regulatory work", "Fraud prevention", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Consumer protection", "Project management", "Plan work", "Work to deadlines", "Understand risks", "Understand opportunities", "Understand dependencies", "Payment systems", "APP scams", "Data transparency", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified", "Microsoft Teams" ], "skillCount" : 40, "jobCategory" : "engineering", "seniorityLevel" : "senior", "dataQualityScore" : 1.0, "_score" : 654.3693, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services" }, { "id" : "6a2cb02174d8ee00a09d8f96", "title" : "Applied Data Science & Insights Leader - GTM Intelligence Solutions and Technical Success", "company" : "OpenAI", "industry" : "Data Science", "salary" : { "min" : 441000.0, "max" : 515000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-15T12:51:46.275", "fingerprint" : "19f28dac0c4ff5d5a7bbd9d78762a57246c9d4f0b9ec22ecf275ea3cf517fd70", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/OpenAI/93f558c1-c944-4ddc-b102-addc9446de3d/application", "externalId" : "93f558c1-c944-4ddc-b102-addc9446de3d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python, R, Scala, Spark, SQL, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Modelling skills" ], "hardSkillsList" : [ "Statistical methods", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Applied Data Science, Insights, GTM Intelligence, Technical Success", "majorSkillsList" : [ "Applied Data Science", "Insights", "GTM Intelligence", "Technical Success" ], "coreResponsibilities" : "Define roadmap, Lead roadmap, Build data science foundation, Develop propensity score models, Build team, Mentor team, Lead team, Set technical standards, Create operating rhythms, Build predictive models, Build causal models, Design next-best-action systems, Identify account opportunities, Identify account risks, Recommend playbooks, Explain recommendations, Partner with leaders, Enumerate playbooks, Enumerate actions, Instrument action tracking, Measure outcomes, Develop customer segmentation, Develop benchmarking frameworks, Create scalable insight products, Embed insight products, Translate field feedback, Translate account patterns", "teamCollaboration" : "Cross-functional leaders; GTM teams; Technical Success teams; Product teams; Engineering teams; RevOps teams; Finance teams", "projectManagementSkills" : [ "Roadmap execution" ], "domainKnowledge" : "Customer intelligence; Customer adoption; Product telemetry; Customer health; Revenue; Support tier; Commercial context; Field activity; Customer lifecycle; GTM strategy; Technical Success; Customer segmentation; Product usage; Customer behavior; Field activity; Customer feedback; B2B business; Customer success; Product gaps; Repeatable playbooks; Customer escalations; Missed opportunities; Customer risk; Expansion potential; Product adoption; Customer lifecycle stage; Intervention effectiveness; Customer outcomes; Customer happy paths; Durable adoption; Customer retention; Sales workflows; Finance workflows; Product workflows; Executive leadership", "domainList" : [ "customer-intelligence", "customer-adoption", "product-telemetry", "customer-health", "revenue", "support-tier", "commercial-context", "field-activity", "customer-lifecycle", "gtm-strategy", "technical-success", "customer-segmentation", "product-usage", "customer-behavior", "customer-feedback", "b2b-business", "customer-success", "product-gaps", "repeatable-playbooks", "customer-escalations", "missed-opportunities", "customer-risk", "expansion-potential", "product-adoption", "customer-lifecycle-stage", "intervention-effectiveness", "customer-outcomes", "customer-happy-paths", "durable-adoption", "customer-retention", "sales-workflows", "finance-workflows", "product-workflows", "executive-leadership" ], "domainSpecificKnowledge" : [ "Customer intelligence", "Customer adoption", "Product telemetry", "Customer health", "Revenue", "Support tier", "Commercial context", "Field activity", "Customer lifecycle", "GTM strategy", "Technical Success", "Customer segmentation", "Product usage", "Customer behavior", "Field activity", "Customer feedback", "B2B business", "Customer success", "Product gaps", "Repeatable playbooks", "Customer escalations", "Missed opportunities", "Customer risk", "Expansion potential", "Product adoption", "Customer lifecycle stage", "Intervention effectiveness", "Customer outcomes", "Customer happy paths", "Durable adoption", "Customer retention", "Sales workflows", "Finance workflows", "Product workflows", "Executive leadership" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "SageMaker", "Vertex AI", "ML Studio" ], "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Accelerate durable growth; Scale customer adoption; Scale customer expansion; Improve customer outcomes; Move pilots to production; Deepen product usage; Identify high-value use cases; Reduce churn risk; Create faster feedback loop", "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "ABOUT THE TEAM The GTM Data Science team partners with Go-to-Market, Technical Success, Product, Engineering, RevOps, and Strategic Finance to build the shared intelligence layer for OpenAI's B2B business. The team turns product usage, customer behavior, revenue, field activity, and customer feedback into rigorous insight products that help leaders and field teams understand where customers are succeeding, where adoption is blocked, and what actions will accelerate durable growth. We are building systems that make customer intelligence proactive: surfacing risk, expansion potential, product gaps, and repeatable playbooks before they show up as escalations or missed opportunities. ABOUT THE ROLE As the Applied Data Science & Insights Lead for GTM Intelligence Solutions and Technical Success, you will be a hands-on technical leader responsible for shaping how OpenAI measures, understands, and improves customer adoption across our B2B products. You will build AI/ML-powered intelligence products that connect account health, product usage, customer lifecycle, support tier, qualitative sentiment, commercial context, and field actions into a practical operating system for GTM and Technical Success. This role will build the data science foundation for Technical Success: defining the metrics, models, operating insights, and decision systems that help the team scale customer adoption and expansion with rigor. You will also be expected to build and lead a small mighty team over time: setting direction, hiring and developing talent, creating operating cadences, and holding a high bar for technical rigor and business impact. You will lead the development of models, metrics, and decision systems that recommend what GTM and Technical Success teams should do next, explain why, and measure whether those interventions worked. Your work will help customers move from pilots to production, deepen usage across products, identify high-value use cases, reduce churn risk, and create a faster feedback loop from the field back to Product and Research. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. THE VISION - Build a unified GTM intelligence layer that connects product telemetry, customer health, revenue, support tier, lifecycle stage, field activity, and qualitative feedback. - Turn adoption breadth, usage depth, sentiment, and customer maturity signals into next-best-action systems for Technical Success and field teams. - Create a measurement foundation for Technical Success playbooks, including whether recommended actions were taken and whether they improved customer outcomes. - Help OpenAI understand customer happy paths: the use cases, product behaviors, and interventions that lead to durable adoption, expansion, and retention. - Productize insights into workflows used by Technical Success, Sales, RevOps, Finance, Product, and executive leadership. IN THIS ROLE, YOU WILL: - Define and lead the roadmap for GTM Intelligence and Technical Success insight products in partnership with cross-functional leaders. - Build the data science foundation for Technical Success, including core metrics, customer health definitions, intervention measurement, and reusable playbook analytics. - Develop propensity score models for model and product feature adoption, helping Technical Success and GTM identify which customers are most likely to adopt, which interventions can move adoption, and where support should focus. - Build, mentor, and lead a small team of data scientists and cross-functional analytics partners as the GTM Intelligence function scales. - Set technical standards for modeling, metrics, experimentation, documentation, and production readiness across the team's work. - Create team operating rhythms that balance urgent field needs with durable roadmap execution, quality review, and stakeholder alignment. - Build predictive and causal models for customer health, expansion propensity, churn risk, adoption depth, use-case fit, and intervention effectiveness. - Design next-best-action systems that identify account opportunities and risks, recommend playbooks, and explain the evidence behind each recommendation. - Partner with Technical Success leaders to enumerate playbooks and actions, instrument action tracking, and measure outcomes over time. - Develop customer segmentation and benchmarking frameworks across products, industries, personas, support tiers, and lifecycle stages. - Create scalable insight products that are embedded into field workflows rather than living only as one-off analyses or static dashboards. - Translate field feedback and account-level patterns into clear product and GTM recommendations for senior leadership. - Collaborate with Data Engineering and RevOps to improve the data foundations connecting product telemetry, Salesforce, support signals, revenue, and qualitative feedback. - Maintain a high bar for analytical rigor, including causal evaluation, validation, data quality, and clear caveats. YOU MIGHT THRIVE IN THIS ROLE IF YOU HAVE: - 10+ years of experience in applied data science, analytics, machine learning, quantitative strategy, or a closely related field. - Deep technical skill in SQL and Python, with the ability to move from raw tables to production-quality models, metrics, and decision systems. - Strong applied experience with statistical modeling, causal inference, machine learning, customer segmentation, churn or health modeling, or recommendation systems. - Experience with propensity score modeling, uplift modeling, or related causal methods for adoption, activation, retention, or product feature usage. - Experience building production or workflow-embedded data products for GTM, sales, customer success, technical success, growth, or enterprise SaaS teams. - Product intuition and business judgment for turning ambiguous questions into repeatable models, tools, metrics, and operating cadences. - Excellent communication skills, including the ability to distill complex analysis into clear recommendations for technical partners, field teams, and executives. - Comfort partnering across technical and non-technical teams, including Product, Engineering, Technical Success, Sales, RevOps, Finance, and Data Engineering. - A track record of operating autonomously in fast-moving environments and raising the quality of how teams use data to make decisions. - Experience leading teams or serving as a technical lead for multi-person data science initiatives, including mentoring, roadmap-setting, and quality review. - Ability to hire, develop, and retain strong data science talent while creating a collaborative, high-accountability team culture. - An advanced degree in a quantitative field, or equivalent practical experience. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "summaryDescription" : "Applied Data Science & Insights Leader - GTM Intelligence Solutions and Technical Success at OpenAI. Skills: Applied Data Science, Insights, GTM Intelligence, Technical Success. Define roadmap. Lead roadmap", "createdAt" : "2026-06-14T09:38:50.355", "lastUpdated" : "2026-06-15T12:51:46.275", "ingestTimestamp" : "2026-06-14T09:38:50.355", "mongoId" : "6a2cb02174d8ee00a09d8f96", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 441000, "salaryAnnualMax" : 515000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Statistical methods", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Leadership", "Mentoring", "Applied Data Science", "Insights", "GTM Intelligence", "Technical Success", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Modelling skills", "Roadmap execution", "Customer intelligence", "Customer adoption", "Product telemetry", "Customer health", "Revenue", "Support tier", "Commercial context", "Field activity", "Customer lifecycle", "GTM strategy", "Customer segmentation", "Product usage", "Customer behavior", "Customer feedback", "B2B business", "Customer success", "Product gaps", "Repeatable playbooks", "Customer escalations", "Missed opportunities", "Customer risk", "Expansion potential", "Product adoption", "Customer lifecycle stage", "Intervention effectiveness", "Customer outcomes", "Customer happy paths", "Durable adoption", "Customer retention", "Sales workflows", "Finance workflows", "Product workflows", "Executive leadership", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "SageMaker", "Vertex AI", "ML Studio" ], "skillCount" : 63, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 649.6689, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2b116174d8ee00a0766bcd", "title" : "Retail Insights Data Analyst", "company" : "CPM Ireland", "industry" : "Retail", "salary" : { "min" : 50000.0, "max" : 55000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Dublin, County Dublin, Ireland", "locations" : [ "Dublin, County Dublin, Ireland" ], "timestamp" : "2026-06-14T19:10:13.022", "fingerprint" : "3c6b0dab00118b43136d018da4d56c3ad9e5cf6eda6856ddae56a3bf49e94101", "source" : "workable", "language" : "en", "applyUrl" : "https://apply.workable.com/j/D55EF1362F/apply", "externalId" : "D55EF1362F", "industryFunction" : { }, "locationPoint" : "53.33306,-6.24889", "structuredLocations" : [ { "city" : "Dublin", "state" : "County Dublin", "country" : "Ireland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "53.3493795,-6.2605593" } ], "locationText" : "Dublin, County Dublin, Ireland", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Azzure, Alteryx, Excel, Power BI, Tableau", "professionalSkills" : [ "Data analysis", "Data modelling", "Marketing strategy", "Return on investment", "Commercial conversations" ], "hardSkillsList" : [ "Data driven insight", "Data analysis tools", "Data analysis techniques", "Constructing data models", "Interpret a brief", "Analytical solution" ], "softSkillsList" : [ "Team ethic", "Growth mindset" ], "hardSkills" : [ { "name" : "Data driven insight", "level" : "intermediate" }, { "name" : "Data analysis tools", "level" : "intermediate" }, { "name" : "Data analysis techniques", "level" : "intermediate" }, { "name" : "Constructing data models", "level" : "intermediate" }, { "name" : "Interpret a brief", "level" : "intermediate" }, { "name" : "Analytical solution", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Team ethic" }, { "name" : "Growth mindset" } ], "majorSkills" : "Data insight, Data analysis, Data modelling", "majorSkillsList" : [ "Data insight", "Data analysis", "Data modelling" ], "coreResponsibilities" : "Produce data driven insight, Understand markets, Understand category dynamics, Understand consumer dynamics, Create insight, Add value to clients, Present actionable insights, Deliver insight, Drive behavioural change, Drive business change, Construct data models, Evaluate marketing success, Take and interpret a brief, Shape analytical solution, Deliver analytical solution, Take accountability for delivery", "teamCollaboration" : "Internal teams; External clients; Commercial groups; Client groups", "domainKnowledge" : "Retailer sales; Brand sales; SME sales; FMCG sectors; Telecoms sectors; On-Trade sectors; Utilities sectors", "domainList" : [ "retailer-sales", "brand-sales", "sme-sales", "fmcg-sectors", "telecoms-sectors", "on-trade-sectors", "utilities-sectors" ], "domainSpecificKnowledge" : [ "Retailer sales", "Brand sales", "SME sales", "FMCG sectors", "Telecoms sectors", "On-Trade sectors", "Utilities sectors" ], "toolProficiency" : [ "MS PowerPoint", "MS Word", "Power BI", "Tableau", "Alteryx" ], "communicationSkills" : "Present complex data; Share work outputs; Share recommendations", "continuousLearning" : "Structured Personal Development Plan", "innovationCreativity" : "Lead the next generation of innovation", "problemSolvingSkills" : "Translating data into actionable insights; Analytical solution", "outcomesObjectives" : "Optimise performance; Maximising return on investment", "qualificationsBasic" : "SQL proficiency, 5+ years experience, Client facing experience, Ability to interpret and summarise data, Excellent communication skills, Ability to present complex data", "qualificationsPreferred" : "Field marketing disciplines, Shopper marketing disciplines, Experiential marketing disciplines, Digital marketing disciplines, Knowledge of retailer sales, Knowledge of brand sales, Knowledge of SME sales", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "CPM is Ireland leading field sales marketing agency working with blue chip clients across FMCG, Telecoms, On-Trade and Utilities sectors. We deploy market leading technology and data tools to enable our clients achieve optimum performance and deployment of available resources. CPM Ireland seeks a strategic data & Insights analyst to lead the next generation of innovation across our business and its delivery for our clients. Consulting with external clients ensuring they optimise performance through our various tools and platforms. Transforming numbers and data, creating insight to ensure the best strategy is utilised in maximising return on investment for our clients within all our channels. As strategic Insights & data Analyst, you will have a strong team ethic and the ability to work in a fast paced, dynamic team and agency environment. You will be confident to share your work outputs and recommendations with both internal and external clients, maintaining day to day relationships with these stakeholders. As an Insight and Strategy Analyst your key responsibilities will include: * Working on multiple data sources and systems to produce relevant data driven insight * Working alongside commercial and client groups to understand their markets, category and consumer dynamics/ data (eg epos, TGI, GfK) * Using various data analysis tools and techniques creating insight and added value to our clients to meet their business objectives * Presenting actionable insights to internal teams and clients. * Delivering insight to drive behavioural and business change * Constructing data models to evaluate marketing success eg ROI * Ability to take and interpret a brief, shape and deliver the analytical solution, taking accountability for the end to end delivery of any analysis **Requirements** * A growth mindset. * A love of data &enjoy translating data in to actionable insights. * Experience working in a fast-paced environment, understanding the importance of a dynamic and strong team ethic. * Have client facing experience and the ability to work on your own initiative * The ability to have commercial conversations and build instant rapport * The ability to interpret and summarise data, creating compelling insights presented clearly and impactfully using MS PowerPoint, Word, Power BI or Tableau * Excellent communication skills with the ability to present complex data in a clear manner at all levels within the organisation using on-line systems, Microsoft reporting tools, Word or PowerPoint * Proven experience of being able to manipulate large volumes of data using a variety of technology & techniques, including SQL, Azzure, Alteryx & Excel * Field, shopper, experiential & digital marketing disciplines & tactics (desirable but not essential) * Knowledge of how retailers, brands & SMEs generate profitable sales (desirable but not essential) * Mathematical, statistical, economic or marketing qualifications (desirable but not essential) **Benefits** * Salary - €50,000 - €55,000 * Hybrid Working – 3 days office * Companywide recognition awards + regular company events and activities * Discounted Health Insurance * Access to company pension provider * IVF Support Policy * Enhanced Maternity & Paternity Pay * Reward & Recognition through People Awards scheme * Fast career development and progression opportunities (from 6 months) * Employee Assistance Program * Active Diversity and Inclusion initiatives * Bike to Work Scheme * TaxSaver Scheme – discounted travel tickets * Employee Referral Payment Scheme * Structured Personal Development Plan", "summaryDescription" : "Retail Insights Data Analyst at CPM Ireland. Skills: Data insight, Data analysis, Data modelling. Produce data driven insight. Understand markets", "postedDate" : "2026-06-10T00:00:00.000", "createdAt" : "2026-06-12T05:30:55.690", "lastUpdated" : "2026-06-14T19:10:13.022", "ingestTimestamp" : "2026-06-12T05:30:55.690", "mongoId" : "6a2b116174d8ee00a0766bcd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://apply.workable.com/j/D55EF1362F", "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data driven insight", "Data analysis tools", "Data analysis techniques", "Constructing data models", "Interpret a brief", "Analytical solution", "Team ethic", "Growth mindset", "Data insight", "Data analysis", "Data modelling", "Marketing strategy", "Return on investment", "Commercial conversations", "Retailer sales", "Brand sales", "SME sales", "FMCG sectors", "Telecoms sectors", "On-Trade sectors", "Utilities sectors", "MS PowerPoint", "MS Word", "Power BI", "Tableau", "Alteryx" ], "skillCount" : 26, "jobCategory" : "retail", "jobSubcategory" : "retail", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 647.6896, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FMCG, Telecoms, On-Trade and Utilities sectors" }, { "id" : "6a2c5e5374d8ee00a08e315e", "title" : "Senior Director, Economic Insights", "company" : "Life360", "industry" : "Technology", "salary" : { "min" : 245000.0, "max" : 375000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Director in the Technology industry in the United States, adjusted for seniority and remote work." }, "location" : "Remote, USA", "locations" : [ "Remote", "USA" ], "timestamp" : "2026-06-15T00:48:55.507", "fingerprint" : "cb9026dfcd60e2db14f3be6190d53b7201379b6ce7461d9b819c36bb662fe4de", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/life360/jobs/8589091002", "externalId" : "8589091002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceLevel" : "Director", "technicalSkills" : "SQL, AI", "professionalSkills" : [ "Economic research", "Data storytelling", "Consumer behavior", "Location data", "Retail analytics", "Mobility analytics", "Panel bias", "Dwell time definitions", "Place matching" ], "hardSkillsList" : [ "Seasonal adjustment", "Time series analysis", "Geographic aggregations" ], "softSkillsList" : [ "Curious mindset", "Leadership" ], "hardSkills" : [ { "name" : "Seasonal adjustment", "level" : "intermediate" }, { "name" : "Time series analysis", "level" : "intermediate" }, { "name" : "Geographic aggregations", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious mindset" }, { "name" : "Leadership" } ], "majorSkills" : "Economic insights, Data PR, AI native analytics", "majorSkillsList" : [ "Economic insights", "Data PR", "AI native analytics" ], "coreResponsibilities" : "Create thought-leading economic research and analysis, Leverage Life360 data and external datasets, Surface new insights about families and the business, Write benchmark reports, Publish insights, Serve as Life360's public spokesperson, Engage media, Speak at industry events, Build repeatable seasonal adjustment frameworks, Caveat methodology when data history is less than, Develop a pipeline of data PR narratives, Identify where Life360's first-party data creates a differentiated, Collaborate with Product, Engineering, Ads and the Data, Align on what data infrastructure investments unlock the, Build relationships with internal and external subject-matter experts, Surface exclusive insights and anecdotes, Maintain newsroom-grade standards of accuracy, ethics, and sourcing", "teamCollaboration" : "Data Science team; Analytics team; Comms team; Product team; Engineering team; Ads team; Internal subject-matter experts; External subject-matter experts", "domainKnowledge" : "Consumer behavior; Location data; Retail analytics; Mobility analytics; Family economic research; Panel bias; Dwell time definitions; Place matching challenges", "domainList" : [ "consumer-behavior", "location-data", "retail-analytics", "mobility-analytics", "family-economic-research", "panel-bias", "dwell-time-definitions", "place-matching-challenges" ], "domainSpecificKnowledge" : [ "Consumer behavior", "Location data", "Retail analytics", "Mobility analytics", "Family economic research", "Panel bias", "Dwell time definitions", "Place matching challenges" ], "toolProficiency" : [ "AI tools" ], "communicationSkills" : "Public speaking; Written communication; Verbal communication", "continuousLearning" : "Learning & Development programs", "innovationCreativity" : "AI Native", "problemSolvingSkills" : "Analytical skills", "outcomesObjectives" : "Position Life360 as the #1 brand; Foster awareness; Build reputation; Increase engagement", "qualificationsBasic" : "Masters degree in Economics, Statistics, Demography and Quantitative Social Science, or related quantitative field, 10+ years of applied economics work, Demonstrated experience publishing data-driven narratives for non-academic audiences, Working knowledge of seasonal adjustment techniques, Comfortable being the quoted expert, Fluency to write and understand SQL, Know how to optimize SQL performance", "qualificationsPreferred" : "PhD preferred, Experience with driving behavior datasets, Prior experience setting up a data storytelling function from scratch", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Life360 Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most, with a range of services including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 97.8 million monthly active users (MAU) as of March 31, 2026, across more than 180 countries. Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends that basically are family). For more information, please visit life360.com. Life360 is a Remote First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US) regardless of any specified location above. We are AI Native We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process. Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy. About the Job Life360 sits on one of the most unique behavioral datasets in consumer tech — real-time location, family dynamics, driving patterns, etc., but translating that into earned media and commercial insight requires someone who understands both the economic signals and the data infrastructure limitations. The Sr. Director, Economic Insights is the person who construes Life360's first-party data and business metrics into narratives that resonate primarily with external audiences. This role will report to the VP of Communications to focus on delivering data-led stories. You will also partner closely with the Data Science and Analytics team. This isn't a cookie-cutter role. We’re looking for a left and right brain person who can identify and tell data-led stories publicly. Together with the communication team, we will position Life360 as the #1 brand for making everyday family life better, fostering awareness, building reputation, and increasing engagement among families and stakeholders (including employees) worldwide. Your curious mindset will uncover insights and trends from millions of data points. You will turn these insights into narratives that shape how the world understands families. Life360's data storytelling capability is early-stage. You'll be working with a time series that's shorter than ideal for seasonal analysis, and you'll also be navigating compute constraints for geographic aggregations. The upside is that the underlying dataset is genuinely differentiated, and you'll be developing the methodology rather than inheriting someone else' s. The US-based salary range for this position is $215,000 - $315,000 We take into consideration an individual's background and experience in determining final salary - therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity. What You’ll Do Create thought-leading economic research and analysis leveraging Life360 data and external datasets to surface new insights about families and the business Write benchmark reports and publish insights Serve as Life360's public spokesperson on family behavior and consumer mobility trends, engaging media and speaking at industry events in partnership with Comms Build repeatable seasonal adjustment frameworks for retail/food service visit trends; own caveating methodology when data history is less than 3 years Develop a pipeline of data PR narratives (brand-specific and category-level) for economic/consumer/financial press Identify where Life360's first-party data creates a differentiated narrative angle Collaborate and work with Product, Engineering, Ads and the Data & Analytics team to align on what data infrastructure investments unlock the best storytelling ROI. Build relationships with internal and external subject‑matter experts, data scientists, and customers to surface exclusive insights and anecdotes Maintain newsroom‑grade standards of accuracy, ethics, and sourcing What We’re Looking For Masters degree in Economics, Statistics, Demography and Quantitative Social Science, or related quantitative field (PhD preferred but not required if experience is strong) 10+ years of applied economics work — ideally in consumer behavior, location data, or retail/mobility analytics Demonstrated experience publishing data-driven narratives for non-academic audiences (media, investors, policy makers) Being scrappy. Working knowledge of seasonal adjustment techniques (X-13, STL, or equivalent) and an honest awareness of when you can't seasonally adjust cleanly Operate with incomplete or short time series — knows how to caveat, not just how to model Use AI to multiply your impact. You'll use coding agents and automated analysis daily, and help shape what our AI-native analytics stack looks like, contributing to how we move from reactive to proactive to autonomous. Comfortable being the quoted expert — whether that's a journalist on deadline, a podcast, or a conference stage Prior work at a data PR-forward org (think Ramp, Square, CB Insights, Apartment List, Zillow Economics), who've experienced what a successful data media program actually looks like operationally, or background in family/household economic research Familiarity with mobility or location data, specifically understands panel bias, dwell time definitions, and place matching challenges Exceptional written and communication skills Bonus Experience with driving behavior datasets Fluency to write and understand SQL and know how to optimize performance (know why the query takes 20 hours) Prior experience setting up a data storytelling function from scratch (this is largely a build, not a maintain) Our Benefits Competitive pay and benefits Medical, dental, vision, life and disability insurance plans (100% paid for employees) 401(k) plan with company matching program Mental Wellness Program & Employee Assistance Program (EAP) for mental wellbeing Flexible PTO, 13 company wide days off throughout the year Winter and Summer Week-long Synchronized Company Shutdowns Learning & Development programs Equipment, tools, and reimbursement support for a productive remote environment Free Life360 Platinum Membership for your preferred circle Free Tile Products Life360 Values Our company’s mission driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference Be a Good Person - We have a team of high integrity people you can trust. Be Direct With Respect - We communicate directly, even when it’s hard. Members Before Metrics - We focus on building an exceptional experience for families. High Intensity, High Impact - We do whatever it takes to get the job done. Our Commitment to Diversity We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work. We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status. We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying! #LI-Remote", "summaryDescription" : "Senior Director, Economic Insights at Life360. Skills: Economic insights, Data PR, AI native analytics. Create thought-leading economic research and analysis. Leverage Life360 data and external datasets", "postedDate" : "2026-06-12T22:12:14.395", "createdAt" : "2026-06-12T22:12:14.395", "lastUpdated" : "2026-06-15T00:48:55.507", "ingestTimestamp" : "2026-06-12T22:12:14.395", "mongoId" : "6a2c5e5374d8ee00a08e315e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 245000, "salaryAnnualMax" : 375000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Seasonal adjustment", "Time series analysis", "Geographic aggregations", "Curious mindset", "Leadership", "Economic insights", "Data PR", "AI native analytics", "Economic research", "Data storytelling", "Consumer behavior", "Location data", "Retail analytics", "Mobility analytics", "Panel bias", "Dwell time definitions", "Place matching", "Family economic research", "Place matching challenges", "AI tools" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 647.33435, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology" }, { "id" : "68c2e43bf8b1b0376634c92b", "title" : "Business Intelligence Engineer, P2 Science, Data, and Insights", "company" : "Amazon Development Centre Canada ULC", "industry" : "Business Intelligence, Business Intel Engineer, north america stores", "salary" : { "min" : 76400.0, "max" : 127600.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, CAN", "locations" : [ "Vancouver, British Columbia, CAN" ], "timestamp" : "2026-06-15T09:55:25.379", "fingerprint" : "58cefa08c8e6c631da3f1b5712d738e9918d8d4a111892f31a5b797fda68a7e6", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3071384/apply", "externalId" : "727f31ff-d576-4901-8950-4401fc137ada", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "SQL, Python, R, Redshift, NoSQL, Tableau, Quicksight, ETL, LLMs", "professionalSkills" : [ "Business intelligence", "Data modeling", "ETL pipelines", "Statistical analysis", "Data visualization", "Pricing strategy", "Promotions strategy", "Anomaly detection", "Business strategy", "Data infrastructure", "Data quality", "Data solutions" ], "hardSkillsList" : [ "Data analysis", "Data modeling", "ETL development", "Data visualization", "Statistical analysis", "Metric development", "SQL querying", "Python scripting", "Anomaly detection", "Reporting systems", "Dashboard creation", "Data quality implementation", "Data solution architecture" ], "softSkillsList" : [ "Curiosity", "Customer obsession", "Entrepreneurial spirit" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "ETL development", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Metric development", "level" : "intermediate" }, { "name" : "SQL querying", "level" : "intermediate" }, { "name" : "Python scripting", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "Reporting systems", "level" : "intermediate" }, { "name" : "Dashboard creation", "level" : "intermediate" }, { "name" : "Data quality implementation", "level" : "intermediate" }, { "name" : "Data solution architecture", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curiosity" }, { "name" : "Customer obsession" }, { "name" : "Entrepreneurial spirit" } ], "majorSkills" : "Business intelligence, Data engineering, Analytics", "majorSkillsList" : [ "Business intelligence", "Data engineering", "Analytics" ], "coreResponsibilities" : "Spearhead business intelligence initiatives, Develop advanced analytical metrics, Develop advanced analytical models, Present compelling insights, Present recommendations to senior leadership, Harness LLMs, Generate business impacting insights, Lead data-driven discussions, Pioneer new methodologies, Design automated reporting systems, Create intuitive dashboards, Transform complex data, Innovate tools, Simplify processes, Enhance back-end data sources, Improve accuracy, Streamline operations, Implement data quality best practices, Implement modeling best practices, Architect scalable data solutions, Craft compelling narratives from data, Develop effective metrics, Collaborate across teams, Drive adoption of data-driven strategies, Champion a culture of innovation, Seek ways to improve, Seek ways to automate, Stay at forefront of BI trends, Bring developing technologies, Mentor colleagues, Elevate team capabilities", "teamCollaboration" : "Cross-functional teams; Product teams; Across teams", "domainKnowledge" : "Pricing; Promotions; Retail pricing; Customer behavior; Market dynamics", "domainList" : [ "pricing", "promotions", "retail-pricing", "customer-behavior", "market-dynamics" ], "domainSpecificKnowledge" : [ "Pricing", "Promotions", "Retail pricing", "Customer behavior", "Market dynamics" ], "toolProficiency" : [ "Tableau", "Quicksight", "Redshift", "Python" ], "communicationSkills" : "Presenting insights; Presenting recommendations; Crafting narratives", "continuousLearning" : "Learning new technologies; Stay at forefront of BI trends", "innovationCreativity" : "Innovate in fast-paced environment; Pioneer new methodologies; Innovate tools; Innovate processes; Culture of innovation", "problemSolvingSkills" : "Solving complex problems; Simplify complex problems", "outcomesObjectives" : "Drive pricing and promotions decisions; Shape business strategy; Drive customer satisfaction; Influence business growth; Enhance customer experience; Drive efficiency; Maximize impact; Improve accuracy; Streamline operations; Grow with the business; Influence key stakeholders; Shape future of pricing; Shape future of promotions; Drive adoption of strategies; Improve and automate; Elevate team capabilities; Impact customer experience; Impact business growth", "qualificationsBasic" : "3+ years analyzing data, Experience with Redshift, Experience with Oracle, Experience with NoSQL, Experience as BIE, Experience with Tableau, Experience with Quicksight, Experience with data modeling, Experience with warehousing, Experience building ETL, Experience with R, Experience with SAS, Experience with Matlab, Experience developing metrics, Experience presenting recommendations, Experience using SQL, Scripting experience (Python), Bachelors Degree", "qualificationsPreferred" : "Experience with EC2, Experience with DynamoDB, Experience with S3, Experience with Redshift, Experience in data mining, Experience with ETL, Experience using databases, Experience with large-scale datasets, Experience with complex datasets", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Shape How Amazon Serves Millions Through Pricing and Promotions Ready to transform how customers experience Amazon? Join our Pricing & Promotions Science, Data, and Insights team, where your analytical expertise will directly influence pricing and promotions decisions that impact millions of customers globally. Your Impact As a Business Intelligence Engineer, you'll be at the heart of Amazon's data-driven culture, building automated analytics tools that power intelligent pricing and promotions decisions. Your insights will shape strategy, drive customer satisfaction, and influence business growth across one of Amazon's most critical functions. What Makes You a Great Fit - You're a hands-on engineer who thrives on solving complex problems - You have an insatiable curiosity and love learning new technologies - You see opportunities where others see challenges - You build trust through delivery and customer obsession - You bring an entrepreneurial spirit to everything you do What You'll Create - Automated analytics systems that drive pricing and promotions decisions - Sophisticated anomaly detection tools - Data-driven insights that shape business strategy - Solutions that simplify complex problems - Tools that enhance customer experience Why This Role - Direct impact on Amazon's core business decisions - Opportunity to innovate in a fast-paced environment - Work with advanced analytics technologies - Shape the future of retail pricing and promotions - Join a team that values curiosity and creativity Transform data into decisions that matter. Join us in making Amazon the most customer-centric company through intelligent pricing solutions. Key job responsibilities Drive Strategic Insights - Spearhead business intelligence initiatives that directly impact Amazon's pricing and promotions strategy - Develop advanced analytical metrics and models to uncover hidden business opportunities - Present compelling insights and recommendations to senior leadership, influencing key decisions Innovate with Advanced Analytics - Harness the power of Large Language Models (LLMs) to generate business impacting insights - Lead data-driven discussions with Product teams to accelerate growth - Pioneer new methodologies in pricing and promotions analytics, setting industry standards Build Scalable Solutions - Design and implement automated reporting systems that drive efficiency - Create intuitive dashboards that transform complex data into clear, actionable insights - Continuously innovate and simplify tools and processes, maximizing impact Optimize Data Infrastructure - Enhance back-end data sources to improve accuracy and streamline operations - Implement best practices in data quality and modeling - Architect scalable data solutions that grow with the business Influence Through Communication - Craft compelling narratives from data, influencing key stakeholders - Develop effective metrics that shape the future of Amazon's pricing and promotions - Collaborate across teams to drive adoption of data-driven strategies Lead Continuous Improvement - Champion a culture of innovation, constantly seeking ways to improve and automate - Stay at the forefront of BI trends, bringing developing technologies to the team - Mentor colleagues in advanced analytics techniques, elevating team capabilities In this role, you'll be at the forefront of shaping how Amazon prices and promotes products globally. Your analytical expertise will directly impact customer experience and business growth, making you a key player in Amazon's mission to be Earth's most customer-centric company. About the team The Pricing and Promotions (P2) Science, Data and Insights team is at the forefront of Amazon's data revolution, orchestrating a sophisticated ecosystem with hundreds of PBs of data and thousands of active datasets that empower business leaders to create exceptional customer experiences through data-driven pricing and promotional strategies. Our team combines deep engineering expertise with business acumen to manage mission-critical data and insights that influence billions in revenue decisions, while pioneering innovative approaches that transform how Amazon understands customer behavior and market dynamics. Our strength comes from the diverse perspectives and backgrounds of our team members, who bring unique problem-solving approaches to these complex challenges. We're currently implementing an ambitious three-year transformation strategy that will fundamentally reshape how Amazon makes pricing and promotional decisions, focusing on intelligent automation and proactive insights that drive business outcomes. Beyond managing science, data, and insights, we're true strategic partners who translate complex information into actionable intelligence that shapes Amazon's direction across global marketplaces. If you're passionate about solving complex business problems at massive scale while working in a collaborative culture that values both analytical rigor and business impact, you'll find compelling opportunities to grow and make a meaningful difference on our team. Basic Qualifications: - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience working as a BIE in a technology company - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Bachelors Degree Preferred Qualifications: - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary for this position ranges from $76,400/year up to $127,600/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.", "summaryDescription" : "Business Intelligence Engineer, P2 Science, Data, and Insights at Amazon Development Centre Canada ULC. Skills: Business intelligence, Data engineering, Analytics. Spearhead business intelligence initiatives. Develop advanced analytical metrics", "postedDate" : "2026-06-13T15:15:17.936", "createdAt" : "2026-06-13T15:15:17.936", "lastUpdated" : "2026-06-15T09:55:25.379", "ingestTimestamp" : "2026-06-13T15:15:17.936", "mongoId" : "68c2e43bf8b1b0376634c92b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3071384/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data modeling", "ETL development", "Data visualization", "Statistical analysis", "Metric development", "SQL querying", "Python scripting", "Anomaly detection", "Reporting systems", "Dashboard creation", "Data quality implementation", "Data solution architecture", "Curiosity", "Customer obsession", "Entrepreneurial spirit", "Business intelligence", "Data engineering", "Analytics", "ETL pipelines", "Pricing strategy", "Promotions strategy", "Business strategy", "Data infrastructure", "Data quality", "Data solutions", "Pricing", "Promotions", "Retail pricing", "Customer behavior", "Market dynamics", "Tableau", "Quicksight", "Redshift", "Python" ], "skillCount" : 35, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "_score" : 646.8126, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a0f529b58b93c861e052fca", "title" : "Sr. Manager, Customer Performance & Insights", "company" : "Hyundai Capital America", "location" : "United States-California-Irvine", "locations" : [ "United States-California-Irvine", "
Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
Irvine, 92612

" ], "timestamp" : "2026-06-15T13:57:07.233", "fingerprint" : "71c876584c8bc802443fa6a9717e593495b85bf227c1884721d5d702f910419a", "source" : "taleo", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=116564", "externalId" : "116564", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid" } ], "locationText" : "Irvine, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 8, "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "Customer experience, financing, leasing, insurance solutions." ], "hardSkillsList" : [ "SQL", "Python" ], "softSkillsList" : [ "leadership" ], "hardSkills" : [ { "name" : "SQL", "level" : "intermediate" }, { "name" : "Python", "level" : "intermediate" } ], "softSkills" : [ { "name" : "leadership" } ], "majorSkills" : "customer insights, CX analytics, predictive analytics, stakeholder management, leadership", "majorSkillsList" : [ "customer insights, CX analytics, predictive analytics, stakeholder management, leadership" ], "coreResponsibilities" : "Responsible for delivering a comprehensive, real-time view of customer experience performance across the enterprise. Builds and oversees the full ecosystem of customer feedback to uncover actionable insights, identify experience gaps, and guide business stakeholders toward data-driven, customer-focused improvements.", "teamCollaboration" : "Facilitate cross-functional alignment and embed customer-driven decision-making.", "toolProficiency" : [ "Glassbox, Microsoft Office" ], "communicationSkills" : "executive-level communication; storytelling; executive presentation", "problemSolvingSkills" : "analytical; problem-solving", "specialRequirements" : "Work model is onsite 4 days a week. Compliance with all applicable federal, state, and local equal employment opportunity laws. California Privacy Notice provided.", "outcomesObjectives" : "Identify customer pain points and journey friction by connecting insights across touchpoints, behavioral data, and feedback signals. Develop dashboards, scorecards, and executive reporting that shift from reactive reporting to proactive, predictive CX management. Establish proactive monitoring and predictive analytics to detect emerging CX risks. Design and manage closed-loop feedback systems to ensure resolution and measurable improvements.", "qualificationsBasic" : "8+ years in customer insights, CX analytics, research, VoC, or CX strategy. 3+ years of leadership experience. Predictive analytics experience related to customer behavior or journey risk. Experience managing qualitative, quantitative, and behavioral research programs. Proven ability to influence senior stakeholders and lead cross-functional initiatives. Executive-level communication experience. Bachelor’s degree in relevant field required.", "qualificationsPreferred" : "Advanced degree preferred. Familiarity with CX tools (e.g., Glassbox).", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Job Title: Sr. Manager, Customer Performance & Insights Hyundai Capital America (HCA) helps people move forward. Through Hyundai Motor Finance, Genesis Finance, and Kia Finance, we deliver innovative financing, leasing, and insurance solutions to more than 3 million customers and businesses nationwide. We’re a company driven by growth, innovation, and people. At HCA, you’ll find opportunities to build new skills, expand your career, and make a real impact—while working in a diverse, inclusive, and values driven environment. We’re proud to support our communities through volunteerism, philanthropy, and engaged Employee Resource Groups. If you’re looking for a fast paced, collaborative workplace where your ideas matter, join us as we lead the future of financing freedom of movement. Apply today. WORK MODEL #LI-OnSite (4 days a week) WHAT YOU WILL DO The Sr. Manager, Customer Performance & Insights is a strategic analytics leader responsible for delivering a comprehensive, real-time view of customer experience performance across the enterprise. This role builds and oversees the full ecosystem of customer feedback—both stated and unstated—to uncover actionable insights, identify experience gaps, and guide business stakeholders toward data-driven, customer-focused improvements. HOW YOU WILL MAKE AN IMPACT Own and evolve the enterprise CX Health measurement framework, integrating feedback across channels to deliver a holistic view of customer experience Identify customer pain points and journey friction by connecting insights across touchpoints, behavioral data, and feedback signals Develop dashboards, scorecards, and executive reporting that shift from reactive reporting to proactive, predictive CX management Lead customer research and analytics programs, translating findings into actionable, prioritized recommendations Integrate insights from social media, call centers, complaints, operational data, and tools like Glassbox Establish proactive monitoring and predictive analytics to detect emerging CX risks Facilitate cross-functional alignment and embed customer-driven decision-making Design and manage closed-loop feedback systems to ensure resolution and measurable improvements Influence senior stakeholders through storytelling and data-backed recommendations Lead, mentor, and develop a high-performing team WHAT YOU WILL BRING TO THE ROLE Experience: 8+ years in customer insights, CX analytics, research, VoC, or CX strategy 3+ years of leadership experience Predictive analytics experience related to customer behavior or journey risk Experience managing qualitative, quantitative, and behavioral research programs Proven ability to influence senior stakeholders and lead cross-functional initiatives Executive-level communication experience Education: Bachelor’s degree in relevant field required Advanced degree preferred Skills & Knowledge: Expertise in customer insights, VoC, and CX measurement Strong analytical and problem-solving skills Experience with SQL, Python, or predictive modeling tools Ability to translate data into actionable strategies Familiarity with CX tools (e.g., Glassbox) Strong storytelling and executive presentation skills Stakeholder management in matrixed environments Advanced Excel and Microsoft Office skills Strong communication and leadership abilities WE TAKE CARE OF OUR PEOPLE Along with competitive pay, as an employee of HCA, you are eligible for: · Medical, dental, and vision plans with no-cost and low-cost options · Annual employer HSA contribution · 401(k) matching and immediate vesting · Vehicle purchase and lease discounts, plus monthly vehicle allowances by job level: o Associate / Sr. Associate: $350 o Manager / Sr. Manager: $600 o Director: $800 o Executive Director: $900 o VP or Above: $1,000 · 100% employer-paid life and disability insurance · No-cost health and wellbeing programs, including a gym benefit · Six weeks of paid parental leave · Paid Volunteer Time Off, plus a company donation to a charity of your choice WHAT HAPPENS NEXT Express your interest by submitting an application. Our recruiting team will review your application to assess alignment with the role. Visit our careers page to learn more about our culture. OTHER DETAILS Work Environment & Physical Requirements: Extended sitting, standing, and screen time in a hybrid work environment (office and remote). Our Company is an equal opportunity employer committed to fostering a diverse, inclusive, and respectful workplace—because we believe diversity builds stronger teams. We comply with all applicable federal, state, and local equal employment opportunity laws and do not discriminate on the basis of race, religion or creed, color, national origin, ancestry, caste, citizenship, sex or gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, medical condition, genetic information, marital status, family care or medical leave status, military or veteran status, political affiliation, or any other characteristic protected by law. Information provided during the application process is requested in good faith and will be used solely in accordance with applicable employment laws. California Privacy Notice This notice only applies to our applicants who reside in the State of California. The latest version of our Privacy Policy can be found here . This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 (“CCPA”). If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com . United States-California-Irvine", "summaryDescription" : "Sr. Manager, Customer Performance & Insights at Hyundai Capital America. Skills: customer insights, CX analytics, predictive analytics, stakeholder management, leadership. 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Learn more about our products, vision and values, and status as a public benefit corporation on our website. Consulting is changing, and we’re not like other firms. Veeva Business Consulting was launched in 2019 and has grown quickly and organically to a global organization of over 400 people. Our team is focused on making the life sciences industry more efficient and effective through software, data, and consulting working together. We expect significant growth in Business Consulting as we look towards 2030, and are looking for great people to make it happen. The Role As a Data Scientist in our Analytics Business Consulting practice, you will use your expertise in scientific data and healthcare knowledge to support the creation of meaningful business insights through data analytics, data science, and data visualization; answering critical business questions facing senior executives in global pharma today. ## What You'll Do Analyze data from Veeva Data Cloud and also external data Design, build, and maintain visualizations/dashboards/data pipelines to identify relevant data trends Leverage machine learning, NLP, GenAI, and other data science techniques to uncover insights Clearly and confidently describe the data structure and analytical approach you adopt to solve a specific business question Work in a collaborative cross-functional team delivering business-relevant data analytics and insights for pharma to support their R&D, pre-launch, launch, and post-launch strategies As required, present your findings and recommendations to senior stakeholders at pharma and justify your findings Support innovation and large-scale transformative insights projects ## Requirements Experience: MD/PhD/MSc with thorough understanding of scientific activities from medical experts (congresses, publications, etc.) Experience with data analytics and large/complex datasets Analytical Rigor: A strong mindset for both quantitative and qualitative reasoning Communication: Ability to articulate complex ideas clearly to senior stakeholders Education: Bachelor’s degree or higher ## Nice to Have Experience with business intelligence tools (Tableau, Spotfire, PowerBI, Qlik, etc.) Experience with Python, prompt engineering, machine learning, or NLP Experience in structuring and successfully executing large and complex insights projects ## The Process Our process is different than most. It is designed to be fast, efficient and respectful. Here are the steps: You submit your resume, short cover letter of questions, and take a personality assessment Within 5-10 business days, we will notify you via email if we would like to go to the next step or not The next step is a 45-minute interview with a leader of the practice, followed by a job history interview and case exercise. You will have one week to prepare for the case exercise Within one week after the case exercise, we will give you an offer or let you know that we do not wish to move forward ## Perks & Benefits Compensation: Highly competitive salary and equity in Veeva Growth: Unrivalled career progression in a fast-growing, global team Flexibility: Veeva is a Work Anywhere company. You can work from home or the office on any given day ## Additional Information #RemoteUK #LI-Associate Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. As an equal opportunity employer, Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at talent_accommodations@veeva.com.", "summaryDescription" : "Insights Analyst/Data Scientist - Analytics Business Consulting at Veeva. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and implement data models. 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Partnering with production teams; Liaison with clients", "projectManagementSkills" : [ "Project management", "Timeline management", "Budget management" ], "domainKnowledge" : "Healthcare market research; Pharmaceutical business; HCP insights; Patient insights; Product launches; Branding", "domainList" : [ "healthcare-market-research", "pharmaceutical-business", "hcp-insights", "patient-insights", "product-launches", "branding" ], "domainSpecificKnowledge" : [ "Healthcare market research", "Pharmaceutical business", "HCP insights", "Patient insights", "Product launches", "Branding" ], "communicationSkills" : "Tailored communication styles; Thought leadership content", "documentationSkills" : "Insight-driven reports", "problemSolvingSkills" : "Data analysis", "specialRequirements" : "Travel to European Congresses", "qualificationsBasic" : "Healthcare market research agency experience, 6 months Research/Insights manager experience, Qualitative and quantitative experience (80/20), Experience translating data into outputs, Experience moderating interviews, Experience moderating focus groups, Experience working with clients, Experience managing projects through delivery, Experience working with multiple projects, Experience working to tight deadlines, Understanding of healthcare codes, Understanding of research codes, Understanding of compliance activity", "qualificationsPreferred" : "AI tools comfort", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "We're looking for an Insights Manager to join our established qualitative market research team. We are a small, qualitatively focused team providing HCP and patient insights for all types of pharmaceutical business from biotechs to global pharmaceutical brands. Our work focuses on research around product launches and branding, spanning more traditional HCP-focused market research projects through to partnerships with our broader agencies. You will work closely with our healthcare clients to help their teams turn data into insights and understand its impact on their business. You will have experience building client relationships, working in a collaborative environment with interest in primary qualitative healthcare market research, data analytics and insight generation. Alongside helping to grow the research and insight capability across the group, a key component of this role is managing the administration and delivery of audience metrics practice for Congress stands, using our Congress Measurement Metrics tool and approach, which will involve some travel to European Congresses and liaison with clients. This is a hybrid role (2 days in the office). Your role will involve some travel to European Congresses and liaison with clients. You will report into the Associate Insights Director What you'll do... Lead the delivery of congress metrics, partnering with production teams to prepare systems for stand measurement, analysing data, and presenting insights and recommendations to clients. Contribute to research and insight projects, including introducing methodologies, supporting primary research with HCPs, patients and other audiences, and deriving relevant insights for clients and brands. Support pitch development through clear slides that communicate our value proposition and tailored project approaches. Translate primary research data into compelling, insight-driven reports and outputs. Promote excellence across research execution, from brief to delivery, encouraging collaboration and high-quality outcomes. Manage projects including timelines, budgets, and coordination of client and agency workstreams to ensure delivery against milestones. Build client relationships through questioning and tailored communication styles. Deliver business insights through thought leadership content, including white papers, articles, and social media. What do you need to have... Experience working in a healthcare market research agency experience with at least 6 months in the role of Research/Insights manager, or equivalent Qualitative and quantitative experience (80/20) Experience translating data and evidence into insightful and engaging outputs Experience moderating interviews and focus groups Experience working with clients and managing projects through delivery Experience working with multiple projects and to tight deadlines Some understanding of healthcare and research codes and compliance activity/behaviours. Be comfortable working with AI tools. Just a few of our benefits... Competitive salary 25 days' annual leave plus public holidays, company closure over Christmas plus a personal day 3 days volunteering leave Private Medical Insurance Life Insurance Pension Scheme Hybrid working Group Income Protection A bit about us... Engage XD is an unusually shaped communications group that creates experiences that inspire lasting change. We partner with clients to provide employee engagement, learning and training solutions, scientific engagement and capability building, all underpinned by applied behavioural science. We engage internal and external audiences through the creation and delivery of live and virtual experiences, film, digital, and immersive content. Our family of brands is made up of: Emota, Forty1 and Nazarѐ. We believe in our values: We empower everyone | We rise to the challenge | We work as one | We ask what if | We do the right thing and we will ask you how your personal values align to our values #LIML This is a hybrid remote/in-office role. Don't meet every job requirement? That's okay! We are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. 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Cross-functional teams", "domainKnowledge" : "Pricing; Promotions; Retail pricing; Customer behavior; Market dynamics", "domainList" : [ "pricing", "promotions", "retail-pricing", "customer-behavior", "market-dynamics" ], "domainSpecificKnowledge" : [ "Pricing", "Promotions", "Retail pricing", "Customer behavior", "Market dynamics" ], "toolProficiency" : [ "Tableau", "Quicksight", "R", "SAS", "Matlab", "Python" ], "communicationSkills" : "Presenting insights; Crafting narratives", "continuousLearning" : "Learning new technologies", "innovationCreativity" : "Innovate; Pioneer new methodologies; Simplify tools; Innovation culture", "problemSolvingSkills" : "Solving complex problems; Data-driven decision making", "outcomesObjectives" : "Drive pricing and promotions decisions; Shape business strategy; Enhance customer experience; Drive business growth; Improve accuracy; Streamline operations; Maximize impact", "qualificationsBasic" : "3+ years analyzing data, Experience as BIE, Data visualization experience, Data modeling experience, ETL pipeline experience, Statistical Analysis experience, Develop new metrics, SQL data pulling, Python scripting experience, Bachelors Degree", "qualificationsPreferred" : "AWS solutions experience, Data mining experience, Large-scale datasets experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Shape How Amazon Serves Millions Through Pricing and Promotions Ready to transform how customers experience Amazon? Join our Pricing & Promotions Science, Data, and Insights team, where your analytical expertise will directly influence pricing and promotions decisions that impact millions of customers globally. Your Impact As a Business Intelligence Engineer, you'll be at the heart of Amazon's data-driven culture, building automated analytics tools that power intelligent pricing and promotions decisions. Your insights will shape strategy, drive customer satisfaction, and influence business growth across one of Amazon's most critical functions. What Makes You a Great Fit - You're a hands-on engineer who thrives on solving complex problems - You have an insatiable curiosity and love learning new technologies - You see opportunities where others see challenges - You build trust through delivery and customer obsession - You bring an entrepreneurial spirit to everything you do What You'll Create - Automated analytics systems that drive pricing and promotions decisions - Sophisticated anomaly detection tools - Data-driven insights that shape business strategy - Solutions that simplify complex problems - Tools that enhance customer experience Why This Role - Direct impact on Amazon's core business decisions - Opportunity to innovate in a fast-paced environment - Work with advanced analytics technologies - Shape the future of retail pricing and promotions - Join a team that values curiosity and creativity Transform data into decisions that matter. Join us in making Amazon the most customer-centric company through intelligent pricing solutions. Key job responsibilities Drive Strategic Insights - Spearhead business intelligence initiatives that directly impact Amazon's pricing and promotions strategy - Develop advanced analytical metrics and models to uncover hidden business opportunities - Present compelling insights and recommendations to senior leadership, influencing key decisions Innovate with Advanced Analytics - Harness the power of Large Language Models (LLMs) to generate business impacting insights - Lead data-driven discussions with Product teams to accelerate growth - Pioneer new methodologies in pricing and promotions analytics, setting industry standards Build Scalable Solutions - Design and implement automated reporting systems that drive efficiency - Create intuitive dashboards that transform complex data into clear, actionable insights - Continuously innovate and simplify tools and processes, maximizing impact Optimize Data Infrastructure - Enhance back-end data sources to improve accuracy and streamline operations - Implement best practices in data quality and modeling - Architect scalable data solutions that grow with the business Influence Through Communication - Craft compelling narratives from data, influencing key stakeholders - Develop effective metrics that shape the future of Amazon's pricing and promotions - Collaborate across teams to drive adoption of data-driven strategies Lead Continuous Improvement - Champion a culture of innovation, constantly seeking ways to improve and automate - Stay at the forefront of BI trends, bringing developing technologies to the team - Mentor colleagues in advanced analytics techniques, elevating team capabilities In this role, you'll be at the forefront of shaping how Amazon prices and promotes products globally. Your analytical expertise will directly impact customer experience and business growth, making you a key player in Amazon's mission to be Earth's most customer-centric company. About the team The Pricing and Promotions (P2) Science, Data and Insights team is at the forefront of Amazon's data revolution, orchestrating a sophisticated ecosystem with hundreds of PBs of data and thousands of active datasets that empower business leaders to create exceptional customer experiences through data-driven pricing and promotional strategies. Our team combines deep engineering expertise with business acumen to manage mission-critical data and insights that influence billions in revenue decisions, while pioneering innovative approaches that transform how Amazon understands customer behavior and market dynamics. Our strength comes from the diverse perspectives and backgrounds of our team members, who bring unique problem-solving approaches to these complex challenges. We're currently implementing an ambitious three-year transformation strategy that will fundamentally reshape how Amazon makes pricing and promotional decisions, focusing on intelligent automation and proactive insights that drive business outcomes. Beyond managing science, data, and insights, we're true strategic partners who translate complex information into actionable intelligence that shapes Amazon's direction across global marketplaces. If you're passionate about solving complex business problems at massive scale while working in a collaborative culture that values both analytical rigor and business impact, you'll find compelling opportunities to grow and make a meaningful difference on our team. Basic Qualifications: - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience working as a BIE in a technology company - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Bachelors Degree Preferred Qualifications: - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary for this position ranges from $76,400/year up to $127,600/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.", "summaryDescription" : "Business Intelligence Engineer, P2 Science, Data, and Insights at Amazon Development Centre Canada ULC. Skills: Business intelligence, Data engineering, Analytics. Spearhead business intelligence initiatives. 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Improve and maintain existing data architecture to ensure reliable, efficient, and secure data flow across platforms. Collaborate with data peers, product managers, and cross-functional stakeholders to gather requirements, define solutions, and document technical designs. Implement best practices for data quality, governance, monitoring, validation, and auditing to ensure trustworthy datasets. Optimize pipeline performance and resource efficiency using modern engineering and AI-native approaches, including anomaly detection and schema evolution. Work with big data technologies and frameworks to support large-scale analytical workloads. Contribute to continuous innovation by adopting emerging tools, technologies, and industry best practices in data engineering. Support integration of data pipelines with cloud infrastructure and analytics platforms to enable downstream insights and reporting. Requirements: 5+ years of experience in data engineering or large-scale data processing within cloud-based environments, with strong AWS expertise. Strong programming skills in Python and advanced proficiency in SQL. Experience with data modeling, analytical data warehouses (e.g., Snowflake, Presto, Hive), and dimensional modeling techniques. Hands-on experience with data pipeline orchestration tools such as Airflow. Strong understanding of ETL/ELT processes and experience working with both traditional and modern data engineering frameworks. Familiarity with big data technologies such as Spark and Hadoop. Experience handling semi-structured data formats such as JSON and Parquet. Knowledge of AWS services (e.g., Glue, Lambda, EMR, EKS) and cloud-based data architecture. Exposure to infrastructure-as-code and automation tools such as Terraform, Git, and Jenkins is an asset. Strong communication, collaboration, and problem-solving skills in a fast-paced environment. Nice to have: experience with DBT, Spark SQL, REST APIs, containerization, and AI-native data engineering concepts (MCP, context engineering, agentic workflows). Benefits: Competitive compensation package with performance-based incentives and equity opportunities. Comprehensive health, dental, and vision insurance coverage. Flexible work arrangements, including remote options across Canada. Opportunity to work on large-scale, cutting-edge data platforms and cloud-native architectures. Exposure to advanced analytics, AI-driven data engineering, and emerging technologies. Strong focus on learning, innovation, and professional development. Inclusive, collaborative environment within a global technology organization. ## 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). 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modeling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership skills" } ], "majorSkills" : "Data Engineering, Business Intelligence, Data Visualization, Statistical Analysis", "majorSkillsList" : [ "Data Engineering", "Business Intelligence", "Data Visualization", "Statistical Analysis" ], "coreResponsibilities" : "Extract data to obtain knowledge and insights, Manipulate internal and external data, Perform diagnostic and inferential analysis, Investigate complex business concerns using data and statistical, Apply analysis or visualization techniques, Build forecasts and/or projections of possible business futures, Communicate key findings to business partners, Maximize insight gained from internal and external data, Ensure business partners are making decisions in an, Apply substantive business expertise to render insights and, Craft, package and communicate actionable insights and recommendations, Build and maintain relationships, Serve as a trusted business advisor to clients,, Cultivate partnerships across the company, Ensure methodologies and assumptions align with corporate practices, Participate in the development of scope, risk/control matrix,, Synthesize own project work and the work of, Leverage statistical inferencing when conducting analysis, Communicate significance in findings when working with business, Utilize appropriate visualization techniques, Collaborate with leaders to develop strategies for the, Consult with business to understand, align, and deliver, Determine appropriate information and data to be shared, Share financial and operational analyses with appropriate area, Build business intelligence applications, Manage special projects, Serve as an analytic consultant and contact for, Serve as a consultant and subject matter expert, Contribute to the continuous improvement of department processes, Prepare reports, Use information systems, software and related sources of, Train other users on report preparation and data, Support the research, analysis and presentation of information, Perform other responsibilities as assigned", "teamCollaboration" : "Business partners; Internal risk partners; Stakeholders; Cross-functional teams", "projectManagementSkills" : [ "Project timelines", "Scope management" ], "domainKnowledge" : "Excess & Surplus; Specialty lines; Commercial lines; Insurance; Financial services", "domainList" : [ "excess-surplus", "specialty-lines", "commercial-lines", "insurance", "financial-services" ], "domainSpecificKnowledge" : [ "Excess & Surplus", "Specialty lines", "Commercial lines", "Insurance", "Financial services" ], "toolProficiency" : [ "Tableau", "R", "SAS", "SQL", "Python" ], "communicationSkills" : "Communicate findings; Communicate significance; Executive presentations", "problemSolvingSkills" : "Analytical aptitude; Investigate complex business concerns; Translate business problems into solutions", "outcomesObjectives" : "Influence business strategy and performance; Drive results", "qualificationsBasic" : "Undergraduate studies in data or business analytics, computer science, management information, business, mathematics or related field, Eight or more years of experience in data extraction, data manipulation, analysis, and data visualization, Experience with advanced statistical techniques, Detailed experience with data-extraction problem working with large structured and unstructured data sets and databases, Working knowledge to conduct extraction of data for functional and operational analysis and modeling, Ability to understand business processes and the data produced by them, Ability to understand functional and operational measurement needs, analyze data requests and interpret and translate business problems into solutions, Ability to work under tight time constraints", "qualificationsPreferred" : "Post-graduate studies preferred, Professional experience in insurance, financial services or a related industry preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "If you’re passionate about helping people protect what matters most to them at a Fortune 100 company with nearly $70 billion in annual sales, as well as innovating and simplifying processes and operations to provide the best customer value, then Nationwide’s Property and Casualty team could be the place for you! At Nationwide®, “on your side” goes beyond just words. Our customers and partners are at the center of everything we do and we’re looking for associates who are passionate about delivering extraordinary care. Join a highly analytical, data-driven team where your insights will directly influence business strategy and performance. We’re looking for a Business Advisor who brings strong Tableau expertise and a solid data engineering foundation to turn complex data into clear, actionable insights for our Brokerage Individual Risk team. In this role, you’ll partner closely with the business to uncover trends, inform decisions, and help drive results in a fast-paced environment. Candidates with experience in commercial lines, Excess & Surplus, or specialty lines will stand out and be well positioned to make an immediate impact #LI-AS1 #LI-remote **Job Description Summary** We are a versatile group of individuals, working together to meet the needs of our customers. We value knowledge, analytical aptitude, and collaboration. If you thrive in a busy, engaging work environment, we want to know more about you! As a Consultant, Business Insights, you’ll extract data to obtain knowledge and insights, manipulate internal and external data through R/SAS/SQL/Python, perform diagnostic and inferential analysis, investigate complex business concerns using data and statistical techniques, apply analysis or visualization techniques, build forecasts and/or projections of possible business futures and benefits, and communicate key findings to business partners. Your focus will be to maximize insight gained from internal and external data to ensure that business partners are making decisions in an optimally informed way. ******Job Description****** **Key Responsibilities:** * Applies substantive business expertise to render insights and forecast/project on extracted data sets to craft, package and communicate actional insights and recommendations to business partners. * Builds and maintains relationships and serves as a trusted business advisor to clients, internal risk partners and other stakeholders. Cultivates partnerships across the company to ensure methodologies and assumptions align with corporate practices. * Participates in the development of scope, risk/control matrix, project timelines and assignments. Responsible for effectively synthesizing own project work and the work of team members. Work may span more than one project or focus area. * Leverages statistical inferencing when conducting analysis. Communicates significance in findings when working with business partners. Utilizes appropriate visualization techniques as needed. * Collaborates with leaders to develop strategies for the business unit. Consults with business to understand, align, and deliver work that supports business objectives and priorities. * Determines appropriate information and data to be shared with customers. Shares financial and operational analyses with appropriate area of the company as assigned. Responsible for building business intelligence applications using R/Python/SQL/SAS/Tableau. * Manages special projects and serves as an analytic consultant and contact for team members and associates outside the department. * Serves as a consultant and subject matter expert for business areas during the intake and prioritization of data, reporting, analysis, and advanced analytics work * Contributes to the continuous improvement of department processes through ongoing initiatives. * May be responsible for preparation of reports and use of information systems, software and related sources of information. Also, may be responsible for training other users on report preparation and data base access and supporting the research, analysis and presentation of information. May perform other responsibilities as assigned. **Reporting Relationships:** Reports to Director/Associate Vice President and does not have direct reports. **Typical Skills and Experiences:** **Education:** Undergraduate studies in data or business analytics , computer science, management information, business, mathematics or related field with post-graduate studies preferred **Experience:** Typically, eight or more years of experience in data extraction, data manipulation, analysis, and data visualization. Experience with advanced statistical techniques such as business intelligence. Detailed experience with data-extraction problem solving; working with large structured and unstructured data sets and databases to build understandable and relevant analyses. Professional experience in insurance, financial services or a related industry preferred. **Knowledge, Abilities and Skills:** In-depth knowledge of business policies and procedures, customer service concepts and practices. Sophisticated understanding of creating and maintaining ad hoc and standard analysis, including data visualization, predictive modeling and business intelligence tools. Working knowledge to conduct extraction of data for functional and operational analysis and modeling. Strong communication skills for interactions with others. Ability to understand business processes and the data produced by them. Ability to understand functional and operational measurement needs, analyze data requests and interpret and translate business problems into solutions. Ability to work under tight time constraints. Capable of developing distinctive and understandable data visualizations. Other criteria, including leadership skills, competencies and experiences may take precedence. Staffing exceptions to the above must be approved by the hiring manager’s leader and HR Business Partner. **Values:** Regularly and consistently demonstrates Nationwide Values. **Job Conditions:** **Overtime Eligibility:** Not Eligible (Exempt) **Working Conditions:** Normal office environment. Occasional travel, nonstandard or extended work may be required based on project needs. **ADA:** The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties. We currently anticipate accepting applications until 06/25/2026. However, we encourage early submissions, as the posting may close sooner if a strong candidate slate is identified before the deadline. **Benefits** We have an array of benefits to fit your needs, including: medical/dental/vision, life insurance, short and long term disability coverage, paid time off with newly hired associates receiving a minimum of 18 days paid time off each full calendar year pro-rated quarterly based on hire date, nine paid holidays, 8 hours of Lifetime paid time off, 8 hours of Unity Day paid time off, 401(k) with company match, company-paid pension plan, business casual attire, and more. To learn more about the benefits we offer, [click here](https://www.nationwide.com/about-us/careers-associate-benefits.jsp). Nationwide is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive culture where everyone feels challenged, appreciated, respected and engaged. Nationwide prohibits discrimination and harassment and affords equal employment opportunities to employees and applicants without regard to any characteristic (or classification) protected by applicable law. This position could be filled within any of the lower 48 U.S. states. Smoke-Free Iowa Statement: Nationwide Mutual Insurance Company, its affiliates and subsidiaries comply with the Iowa Smokefree Air Act. Smoking is prohibited in all enclosed areas on or around company premises as well as company issued vehicles. The company offers designated smoking areas in which smoking is permitted at each individual location. The Act prohibits retaliation for reporting complaints or violations. For more information on the Iowa Smokefree Air Act, individuals may contact the Smokefree Air Act Helpline at 888-944-2247. For NY residents please review the following state law information: Notice of Employee Rights, Protections, and Obligations LS740 (ny.gov) https://dol.ny.gov/system/files/documents/2022/02/ls740_1.pdf **NOTE TO EMPLOYMENT AGENCIES:** We value the partnerships we have built with our preferred vendors. Nationwide does not accept unsolicited resumes from employment agencies. All resumes submitted by employment agencies directly to any Nationwide employee or hiring manager in any form without a signed Nationwide Client Services Agreement on file and search engagement for that position will be deemed unsolicited in nature. No fee will be paid in the event the candidate is subsequently hired as a result of the referral or through other means. Nationwide pays on a geographic-specific salary structure and placement within the actual starting salary range for this position will be determined by a number of factors including the skills, education, training, credentials and experience of the candidate; the scope, complexity and location of the role as well as the cost of labor in the market; and other conditions of employment. If a Sales job, Sales Incentives, based on performance goals are possible in addition to this range. Note on Compensation for Part-Time Roles: Please be aware that the salary ranges listed below reflect full-time compensation. Actual compensation may be prorated based on the number of hours worked relative to a full-time schedule. The national salary range for Consultant, Business Insights : $108,000.00-$200,000.00 The expected starting salary range for Consultant, Business Insights : $108,000.00 - $162,000.00", "summaryDescription" : "Consultant, Business Insights (Excess & Surplus/Specialty Data) at Nationwide. Skills: Data Engineering, Business Intelligence, Data Visualization, Statistical Analysis. Extract data to obtain knowledge and insights. Manipulate internal and external data", "postedDate" : "2026-06-12T05:26:54.309", "createdAt" : "2026-06-12T05:26:54.173", "lastUpdated" : "2026-06-15T00:41:36.499", "ingestTimestamp" : "2026-06-12T05:26:54.173", "mongoId" : "6a2b3f2a74d8ee00a0797209", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://nationwide.wd1.myworkdayjobs.com/Nationwide_Career/job/Arizona---Scottsdale/Consultant--Business-Insights--Excess---Surplus-Specialty-Data-_098591", "salaryAnnualMin" : 145600, "salaryAnnualMax" : 145600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data extraction", "Data manipulation", "Data analysis", "Data visualization", "Statistical techniques", "Inferential analysis", "Business intelligence", "Predictive modeling", "Leadership skills", "Data Engineering", "Business Intelligence", "Data Visualization", "Statistical Analysis", "Business expertise", "Business advisor", "Project timelines", "Scope management", "Excess & Surplus", "Specialty lines", "Commercial lines", "Insurance", "Financial services", "Tableau", "R", "SAS", "SQL", "Python" ], "skillCount" : 27, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 635.9909, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Insurance" }, { "id" : "6a2a5c7874d8ee00a0614730", "title" : "Senior Analyst, Analytics and Insights (Programmatic)", "company" : "Zeta Global", "salary" : { "min" : 105000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Analyst, Analytics and Insights (Programmatic) in Virginia Beach, United States, adjusted for seniority and industry." }, "location" : "Remote - US", "locations" : [ "Remote - US" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified" ], "timestamp" : "2026-06-14T09:08:11.586", "fingerprint" : "b3bd118361e0fabd43f87db29b047cda1e884891e51214087dc33a2bfdc9aed0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/zetaglobal/jobs/5795011004", "externalId" : "5795011004", "structuredLocations" : [ { "city" : "Virginia Beach", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.8496579,-75.9760751" } ], "locationText" : "Virginia Beach, Virginia, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Python, R, Scala, Spark, SQL, Snowflake, BigQuery, Redshift, Databricks, dbt, Fivetran, Airflow, dbt Cloud, Delta Lake, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Marketing Cloud", "Programmatic analytics", "Customer acquisition", "Customer growth", "Customer retention", "Marketing strategy", "Data analysis", "Testing plans", "Model performance", "Measurement tools" ], "hardSkillsList" : [ "Statistical analysis", "Regression analysis", "Classification analysis", "Clustering analysis", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification analysis", "level" : "intermediate" }, { "name" : "Clustering analysis", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering, Quantitative analysis", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "coreResponsibilities" : "Provide actionable insights, Partner with Sales, Partner with Customer Success, Monitor optimization platform, Design Brand Optimization surveys, Introduce humanly designed segments, Deliver insight presentations, Lead marketing strategy discussions, Provide feedback to Product, Provide feedback to Engineering, Advance reliability of campaigns, Advance reach of campaigns, Advance effectiveness of campaigns, Communicate campaign strategy, Review campaign insights, Interpret insights, Understand client business challenges, Design analytic plans, Design testing plans, Derive actionable intelligence, Own campaign performance, Own reporting insights, Recommend optimization opportunities, Run additional channels, Update targeting strategy, Pitch new analyses, Review model performance, Design tests, Implement tests, Evaluate model performance, Evaluate feature performance, Determine measurement tools, Determine measurement products, Develop measurement tools, Develop measurement solutions, Consult with clients", "teamCollaboration" : "Internal teams; External customers; Product teams; Engineering teams; Sales teams; Customer Success teams", "domainKnowledge" : "Programmatic marketing; AI-powered marketing; Consumer signals; Omnichannel activation; Proprietary databases; Marketing personalization; Real-time bidding", "domainList" : [ "programmatic-marketing", "ai-powered-marketing", "consumer-signals", "omnichannel-activation", "proprietary-databases", "marketing-personalization", "real-time-bidding" ], "domainSpecificKnowledge" : [ "Programmatic marketing", "AI-powered marketing", "Consumer signals", "Omnichannel activation", "Proprietary databases", "Marketing personalization", "Real-time bidding" ], "toolProficiency" : [ "Zeta Marketing Platform", "Optimization platform" ], "communicationSkills" : "Story-telling interpretation; Insight presentations; Marketing strategy discussions; Client communication", "innovationCreativity" : "Develop innovative tools; Develop innovative solutions", "problemSolvingSkills" : "Analytical skills; Problem solving", "outcomesObjectives" : "Boost model exploration; Boost model learning; Advance reliability; Advance reach; Advance effectiveness; Help client business challenges; Help client business objectives", "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "WHO WE ARE Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com. THE ROLE The Programmatic Analytics and Strategy team at Zeta Global provide actionable insights to both external customers and internal teams. For external customers, analysts partner with Sales and Customer Success teams to monitor our optimization platform, design Real-time Brand Optimization surveys, introduce humanly designed segments to boost model exploration and learning, and deliver actionable insight presentations and lead marketing strategy discussions with clients. For internal teams, they provide feedback to our Product and Engineering teams on automation and model features to advance the reliability, reach, and effectiveness of programmatic campaigns. Depending on your location, this role could be hybrid (NYC, Nashville, LA, San Francisco) or remote. Responsibilities: Client-facing lead responsible for communication campaign strategy, reviewing campaign-based insights and providing a story-telling interpretation to provided insights Work with clients to understand key business challenges and design analytic and testing plans to derive actionable intelligence. Own campaign performance and reporting insights while recommending opportunities for optimization (ex. running additional channels, updating current targeting strategy, pitching new analyses to help with client’s business challenges/objectives). Reviewing performance of models across revenue, performance, and pacing. Design and implement tests to evaluate model and feature performance. Working with internal teams and stakeholders to determine measurement tools and products are appropriate for addressing client business challenges. Develop innovative measurement tools and solutions Consult with clients regarding development nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression. We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/ ZETA IN THE NEWS! https://zetaglobal.com/press/?cat=press-releases #LI-MR1", "summaryDescription" : "Senior Analyst, Analytics and Insights (Programmatic) at Zeta Global. Skills: Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering, Quantitative analysis. Provide actionable insights. Partner with Sales", "postedDate" : "2026-06-11T18:48:53.693", "createdAt" : "2026-06-11T18:48:53.693", "lastUpdated" : "2026-06-14T09:08:11.586", "ingestTimestamp" : "2026-06-11T18:48:53.693", "mongoId" : "6a2a5c7874d8ee00a0614730", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 105000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Regression analysis", "Classification analysis", "Clustering analysis", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Marketing Cloud", "Programmatic analytics", "Customer acquisition", "Customer growth", "Customer retention", "Marketing strategy", "Data analysis", "Testing plans", "Model performance", "Measurement tools", "Programmatic marketing", "AI-powered marketing", "Consumer signals", "Omnichannel activation", "Proprietary databases", "Marketing personalization", "Real-time bidding", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified", "Zeta Marketing Platform", "Optimization platform" ], "skillCount" : 36, "jobCategory" : "other", "jobSubcategory" : "data-science-&-analytics", "dataQualityScore" : 0.8888889, "_score" : 630.755, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "68b706967fc9a711f0f6ee30", "title" : "Consumer Insights Manager, Prime Video Japan", "company" : "Amazon Japan G. K.", "industry" : "Marketing PR, Marketing, entertainment", "salary" : { "min" : 1.05E7, "max" : 1.55E7, "currency" : "JPY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Manager in Media in Tokyo, Japan, adjusted for company size and industry." }, "location" : "Tokyo, JPN", "locations" : [ "Tokyo, JPN" ], "timestamp" : "2026-06-15T01:56:17.839", "fingerprint" : "c84c868e84c3793cc99dde8e5c0ee2e78aa11bbb066cd69f87d3147aab10c8de", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3070005/apply", "externalId" : "23c0905e-02d2-4eba-a4e7-9f77456d6fa4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tokyo", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "35.6768601,139.7638947" } ], "locationText" : "Tokyo, Japan", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Consumer research", "Business strategy", "Marketing strategy", "Market research", "Data analysis" ], "hardSkillsList" : [ "Quantitative research", "Qualitative research", "Data interpretation", "Primary research management", "Meta-analysis" ], "hardSkills" : [ { "name" : "Quantitative research", "level" : "intermediate" }, { "name" : "Qualitative research", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Primary research management", "level" : "intermediate" }, { "name" : "Meta-analysis", "level" : "intermediate" } ], "majorSkills" : "Consumer insights, Market research, Data analysis", "majorSkillsList" : [ "Consumer insights", "Market research", "Data analysis" ], "coreResponsibilities" : "Develop collaborative relationships, Design consumer-focused research plans, Identify research solutions, Manage external research operators, Deliver standardized research projects, Own end-to-end research projects, Write RFPs, Analyze data, Write result reports, Drive insights into actions, Ensure quality inputs, Lead meta-analysis, Produce consolidated learnings, Standardize best practices, Streamline processes, Enhance impacts, Contribute to operational tasks, Contribute to planning tasks, Represent Prime Video customer", "teamCollaboration" : "Cross-functional teams; Stakeholders at all levels; Global insights counterparts; Regional insights counterparts; External research operators; External teams; Internal teams", "projectManagementSkills" : [ "Manage competing priorities", "Timely delivery" ], "domainKnowledge" : "Prime Video business; Entertainment industry; Japanese entertainment landscape; Japanese media landscape", "domainList" : [ "prime-video-business", "entertainment-industry", "japanese-entertainment-landscape", "japanese-media-landscape" ], "domainSpecificKnowledge" : [ "Prime Video business", "Entertainment industry", "Japanese entertainment landscape", "Japanese media landscape" ], "communicationSkills" : "Written communication; Verbal communication; Convey key insights", "documentationSkills" : "Write result reports", "problemSolvingSkills" : "Combine observations; Combine interpretations", "outcomesObjectives" : "Shape business strategies; Shape marketing strategies; Enhance scalable research mechanisms; Deliver actionable insights", "qualificationsBasic" : "5+ years market research, Lead primary research studies, Japanese and English bilingual, Collaborate effectively across teams, Operate with autonomy", "qualificationsPreferred" : "Research vendor experience, Media company experience, Familiarity with Japanese entertainment, Familiarity with Japanese Media, Communicate results to senior leadership, Understanding marketing frameworks, Understanding measurement frameworks, Understanding insight frameworks, Experience with statistical techniques, Experience with applied statistics, Experience with predictive analytics, Experience with mixed methodology research", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you interested in diving deep to understand customers and shaping the future of entertainment in Japan? Prime Video is one of the leading streaming services today, available in more than 240 countries and territories, offering customers the broadest selection of movies and TV shows — all on demand, at any time, on any device. The JP Prime Video Marketing team is looking for a Consumer Insights Manager to lead customer-focused primary and secondary research projects in Japan. We are looking for an experienced and highly skilled insights expert to work closely with cross-functional teams across Prime Video JP Marketing to help shape business and marketing strategies. As part of the Global Consumer Insights team, you will also partner closely with global and regional insights counterparts to establish strong insights foundation. You will play a key role in setting and enhancing scalable, effective research mechanisms and deliver actionable insights on a daily basis. The successful candidate will be experienced in a wide range of consumer research methodologies, both in quantitative and qualitative approaches. This role requires robust experience in creating strategic and actionable business recommendations by combining observations/interpretations from complex datasets. It is crucial that they have hands-on and deep experience in managing primary customer research studies and their stakeholder needs. This role will also skillfully manage the scope of multiple competing priorities, to ensure high-quality and timely delivery of research. We are looking for a self-starter who thrives in change and ambiguity. Key job responsibilities • Develop collaborative relationships with cross-functional teams across Prime Video, working closely with stakeholders at all levels to design consumer-focused research plans that align with Prime Video’s business goals. • Identify research solutions to ensure quality of insights delivery, contributing to effective/efficient marketing activities contextualized with insights on broad industry trends. • Manage and raise the bar of the external research operators effectively to deliver the standardized research projects • Own end-to-end management of bespoke consumer research projects, from ideation through delivery. Write RFPs, analyze data from primary and secondary sources, write result reports to stakeholders to drive insights into actions. • Work with external/internal team to ensure quality inputs for marketing measurement solutions • Lead meta-analysis to produce consolidated learnings to support mid- and long-term business strategy. • Work on standardizing best practices, streamlining processes, and enhancing impacts. • Contribute to teams’ day-to-day operational and planning tasks. • Represent and advocate for the Prime Video customer in all analysis and meetings. Basic Qualifications: - 5+ years of relevant market research experience - Direct experience leading primary research studies across various methodologies (online quant surveys, focus groups, 1:1, ethnos, online qual, etc.) - Proven written and verbal communication skills to convey key insights from analysis - Japanese and English bilingual both in verbal and writing communications - Demonstrated ability to collaborate effectively across internal teams - Demonstrated ability to operate with autonomy Preferred Qualifications: - Experience on the research vendor side or within the research/insight group of a media company/consumer business company - Familiarity with Japanese entertainment landscape - Familiarity with Japanese Media landscape - Experience in communicating results to senior leadership - Understanding of various marketing, measurement and insight frameworks - Experience with various statistical techniques - Experience with applied statistics, predictive analytics, and mixed methodology research 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" : "Consumer Insights Manager, Prime Video Japan at Amazon Japan G. K.. Skills: Consumer insights, Market research, Data analysis. Develop collaborative relationships. Design consumer-focused research plans", "postedDate" : "2026-06-13T02:49:41.134", "createdAt" : "2026-06-13T02:49:41.134", "lastUpdated" : "2026-06-15T01:56:17.839", "ingestTimestamp" : "2026-06-13T02:49:41.134", "mongoId" : "68b706967fc9a711f0f6ee30", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3070005/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Quantitative research", "Qualitative research", "Data interpretation", "Primary research management", "Meta-analysis", "Consumer insights", "Market research", "Data analysis", "Consumer research", "Business strategy", "Marketing strategy", "Manage competing priorities", "Timely delivery", "Prime Video business", "Entertainment industry", "Japanese entertainment landscape", "Japanese media landscape" ], "skillCount" : 17, "jobCategory" : "marketing", "dataQualityScore" : 1.0, "_score" : 630.7035, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Entertainment" }, { "id" : "6a21ad3674d8ee00a0cc2595", "title" : "Data Engineer, Prime Video Global Brand & Marketing Insights", "company" : "Amazon.com Services LLC", "industry" : "Data Science, Data Engineering, entertainment", "salary" : { "min" : 101000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Culver City, California, USA", "locations" : [ "Culver City, California, USA" ], "timestamp" : "2026-06-15T08:42:13.764", "fingerprint" : "92f5c26604ee559423b8872165dbc900eeb44b5447b6f856cd3ac74cf1f1235c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10439765/apply", "externalId" : "27abf13d-3a0c-4114-ab2c-391091df2415", "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", "technicalSkills" : "SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala, Python, KornShell, Hadoop, Hive, Spark, EMR, Pig, Informatica, ODI, SSIS, BODI, Datastage, AWS, S3, Redshift, SageMaker, Kinesis, Lambda, EC2", "professionalSkills" : [ "Data modeling", "ETL design", "Data quality", "Self-service access", "Metadata management", "Data design", "Resource optimization", "Query optimization", "Brand performance", "Marketing performance", "Social performance" ], "hardSkillsList" : [ "Data warehousing", "ETL pipelines", "Data schema design", "Coding standards", "Code reviews", "Source control management", "Continuous deployments", "Operational excellence", "Test-driven development" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL pipelines", "level" : "intermediate" }, { "name" : "Data schema design", "level" : "intermediate" }, { "name" : "Coding standards", "level" : "intermediate" }, { "name" : "Code reviews", "level" : "intermediate" }, { "name" : "Source control management", "level" : "intermediate" }, { "name" : "Continuous deployments", "level" : "intermediate" }, { "name" : "Operational excellence", "level" : "intermediate" }, { "name" : "Test-driven development", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Data modeling, ETL pipelines, AWS", "majorSkillsList" : [ "Data engineering", "Data modeling", "ETL pipelines", "AWS" ], "coreResponsibilities" : "Build & Optimize data models & pipelines, Own ongoing data quality, Own self-service access to datasets, Improve metadata for better AI results, Collaborate with research program leads, Collaborate with data scientists, Collaborate with business intelligence engineers, Collaborate with other data engineers, Maintain stable, performant data solutions, Write secure, stable, testable, and maintainable code, Apply appropriate data design approaches, Make judicious trade-offs, Optimize resource usage, Optimize system hardware, Optimize data storage, Optimize query optimization, Optimize AWS infrastructure, Participate actively in code reviews, Participate in design discussions, Participate in roadmap planning, Resolve root causes of complex problems, Stay current on latest innovations, Develop & maintain automated reporting, Develop & maintain dashboards", "teamCollaboration" : "Insights professionals; Research program leads; Data scientists; Business intelligence engineers; Other data engineers; In-country insights leads", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Brand insights; Marketing insights; Customer relationships; Entertainment industry", "domainList" : [ "brand-insights", "marketing-insights", "customer-relationships", "entertainment-industry" ], "domainSpecificKnowledge" : [ "Brand insights", "Marketing insights", "Customer relationships", "Entertainment industry" ], "toolProficiency" : [ "Tableau", "Adobe" ], "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "2+ years of data engineering experience, Experience with data modeling, Experience building ETL pipelines, Experience with SQL, Experience with Python, Knowledge of data schema design, Knowledge of software engineering best practices, Experience using BI tools", "qualificationsPreferred" : "Experience with big data technologies, Experience with ETL tools, Experience with AWS services, Experience architecting/operating solutions on AWS, Experience with test-driven development", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Do you want to invent, disrupt and redefine what entertainment means for fans, creators, and communities all around the globe? As part of the Prime Video team, you’ll get to work on projects that are fast-paced, challenging, and varied. Also, you’ll get to experiment with new possibilities, take risks, and collaborate with remarkable people. We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented creatives, technologists, marketing professionals and so much more, you can decide where a career with Prime Video takes you! The Prime Video (PV) Global Brand Insights team is hiring a Data Engineer that will be responsible for building data pipelines and generating insights to help the business better understand and deliver value to our customers. The Data Engineer, Global PV Brand Insights will work across a dynamic team of insights professionals focused on understanding and building customers’ relationship with the Prime Video brand and service. The ideal candidate is a strategic-minded engineer with a proven track record of delivering highly impactful, data-driven business recommendations in a fast-paced environment. The ideal candidate thrives working with large volumes of data, enjoys the challenge of highly complex technical contexts, and is passionate about data and analytics. The ideal candidate is an expert within data modeling, ETL design and cloud/big-data technologies and passionately partners with the business to identify strategic opportunities where improvements in data infrastructure creates large-scale business impact. Key job responsibilities - Build & Optimize data models & pipelines for complex global datasets - Own ongoing data quality & self-service access to datasets for business intelligence, AI-based tools, and Model Context Protocols (MCP) - Improve metadata for better AI results - Collaborate with research program leads, data scientists, business intelligence engineers, and other data engineers to maintain stable, performant data solutions - Write secure, stable, testable, and maintainable code with minimal defects - Apply appropriate data design approaches and make judicious trade-offs without over-engineering - Optimize resource usage, including system hardware, data storage, query optimization, and AWS infrastructure - Participate actively in code reviews, design discussions, and roadmap planning - Resolve root causes of complex problems while balancing stakeholder requirements with team needs - Stay current on the latest innovations in the field, including ways that AI can be better used by our stakeholders to analyze and visualize our data - Develop & maintain automated reporting and dashboards to provide visibility into brand, marketing, and social performance and allow stakeholders to self-serve insights About the team The PV Global Brand & Marketing Insights team drives global marketing decision-making by being the voice of the customer for the Global Marketing organization. Our work is global in scope, incorporating multiple countries with the goal of understanding universal customer truths, while also specifying local nuance per country by partnering with in-country insights leads. We work with teams responsible for planning and executing strategies to drive the future of the PV brand. Basic Qualifications: - 2+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) - Knowledge of basics of designing and implementing a data schema like normalization, relational model vs dimensional model - Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence - Experience using BI tools (e.g., Tableau, Adobe) to visualize data Preferred Qualifications: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. - Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 - Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc. - Experience with test-driven development - Experience architecting/operating solutions built on AWS - Experience in component selection and understanding of component reliability 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 - 101,300.00 - 160,000.00 USD annually", "summaryDescription" : "Data Engineer, Prime Video Global Brand & Marketing Insights at Amazon.com Services LLC. Skills: Data engineering, Data modeling, ETL pipelines, AWS. Build & Optimize data models & pipelines. Own ongoing data quality", "postedDate" : "2026-06-13T14:19:39.882", "createdAt" : "2026-06-13T14:19:39.882", "lastUpdated" : "2026-06-15T08:42:13.764", "ingestTimestamp" : "2026-06-13T14:19:39.882", "mongoId" : "6a21ad3674d8ee00a0cc2595", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10439765/apply", "salaryAnnualMin" : 101000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data warehousing", "ETL pipelines", "Data schema design", "Coding standards", "Code reviews", "Source control management", "Continuous deployments", "Operational excellence", "Test-driven development", "Data engineering", "Data modeling", "AWS", "ETL design", "Data quality", "Self-service access", "Metadata management", "Data design", "Resource optimization", "Query optimization", "Brand performance", "Marketing performance", "Social performance", "Roadmap planning", "Brand insights", "Marketing insights", "Customer relationships", "Entertainment industry", "Tableau", "Adobe" ], "skillCount" : 29, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "_score" : 630.0626, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c91a974d8ee00a0983aba", "title" : "Field Reporting Insights Manager", "company" : "Anthropic", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Manager in the Technology industry in San Francisco, United States, adjusted for seniority and company size." }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States" ], "timestamp" : "2026-06-15T09:36:52.057", "fingerprint" : "59d96177ac386147ae6c18a06c2af28a02e3edf9402c1e2b1aab9e164835de8a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/anthropic/jobs/5253257008", "externalId" : "5253257008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Looker, LookML, Salesforce, BigQuery", "professionalSkills" : [ "Reporting foundation", "Pipeline health", "Forecast reporting", "Customer health", "Rep productivity", "Data lineage", "Metric definitions", "Analytical partner", "Scoping deliverables", "Analytical innovation", "Scoring methodologies", "Prioritization methodologies", "Reporting standards", "Reporting playbook" ], "hardSkillsList" : [ "Data visualization", "Statistical analysis", "Quantitative analysis", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkills" : [ { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Quantitative analysis", "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, ML/AI, Business intelligence, Analytics engineering", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering" ], "coreResponsibilities" : "Build reporting foundation, Design core reporting suite, Build core reporting suite, Certify core reporting suite, Architect reporting with hierarchy, Partner with Analytics Engineering, Partner with Data Infrastructure, Ensure data lineage is clean, Govern metric definitions, Reconcile calculations, Establish standard for certified reporting, Own standard for certified reporting, Translate leadership needs, Serve as analytical partner, Understand how leaders run businesses, Convert asks into deliverables, Anticipate second-order usage, Design reporting that holds up, Drive adoption through reports, Design visual language, Surface signal from unstructured data, Turn signal into structured reporting, Develop original scoring methodologies, Develop prioritization methodologies, Serve as R&D function, Run experiments, Share what works, Raise bar for GTM reporting, Build reporting infrastructure, Manage competing stakeholder requests, Document standards, Build templates, Create reporting playbook", "teamCollaboration" : "Analytics Engineering; Data Infrastructure", "domainKnowledge" : "GTM performance; Pipeline reporting; Forecast reporting; Bookings reporting; Capacity reporting; Customer health reporting; Rep productivity reporting; SaaS playbook; Revenue operations; Sales strategy; GTM analytics; Sales org rhythm; Account executive decisions; Traditional SaaS playbook", "domainList" : [ "gtm-performance", "pipeline-reporting", "forecast-reporting", "bookings-reporting", "capacity-reporting", "customer-health-reporting", "rep-productivity-reporting", "saas-playbook", "revenue-operations", "sales-strategy", "gtm-analytics", "sales-org-rhythm", "account-executive-decisions", "traditional-saas-playbook" ], "domainSpecificKnowledge" : [ "GTM performance", "Pipeline reporting", "Forecast reporting", "Bookings reporting", "Capacity reporting", "Customer health reporting", "Rep productivity reporting", "SaaS playbook", "Revenue operations", "Sales strategy", "GTM analytics", "Sales org rhythm", "Account executive decisions", "Traditional SaaS playbook" ], "toolProficiency" : [ "Looker", "LookML", "Salesforce", "BigQuery" ], "documentationSkills" : "Document standards", "innovationCreativity" : "Analytical innovation; Design visual language; Develop original scoring; Develop prioritization methodologies; Internal R&D function", "problemSolvingSkills" : "Translate ambiguous executive asks; Convert loosely scoped asks; Anticipate second-order usage", "qualificationsBasic" : "Advanced SQL, Hands-on experience building in Looker, Experience building in LookML, Fluency with Salesforce data models, Comfort working in BigQuery, Experience building GTM reporting, Experience building revenue reporting", "qualificationsPreferred" : "8+ years in revenue operations, 8+ years in sales strategy, 8+ years in GTM analytics, Track record of building reporting leaders use, Genuine fluency in how GTM organizations operate", "remoteFriendly" : true, "rawDescription" : "About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's go-to-market organization is scaling fast, and the quality of our decisions increasingly depends on the quality of our reporting. We're looking for a Field Reporting and Insights Manager to build and own the reporting foundation that every GTM leader — from individual contributors to the CCO — relies on to run their business. This is not a dashboard maintenance role. It's a role for someone who understands that a single, well-designed view of pipeline health can change how a sales leader runs their Monday morning, and who can build that view because they understand how that leader actually thinks. You'll own the design and delivery of certified, centralized reporting across pipeline, forecast, hiring, customer health, and rep productivity — and you'll do it for a business whose model doesn't map cleanly onto the traditional SaaS playbook. Key responsibilities Build the reporting foundation Design, build, and certify the core reporting suite that serves as the single source of truth for GTM performance — spanning pipeline, forecast, bookings, capacity, customer health, and rep productivity Architect reporting with a clear audience hierarchy, so the same underlying data powers the CCO's board prep, the RVP's weekly operating review, and each rep's self-service view of their own book Partner with Analytics Engineering and Data Infrastructure to ensure data lineage is clean, metric definitions are governed, and calculations reconcile cleanly across Salesforce, Looker, and BigQuery Establish and own the standard for \"certified\" reporting, so that when a number appears in an operating review, no one has to ask where it came from Translate leadership needs into durable reporting Serve as a trusted analytical partner to GTM leadership; invest time understanding how leaders run their businesses, what decisions they make each week, and what they wish they could see but can't Convert loosely scoped asks into tightly scoped deliverables — and know when the right answer is a one-time analysis, a new dashboard panel, or a change to the weekly metrics pack Anticipate second-order usage: design reporting that holds up when it gets forwarded, screenshotted into a deck, or pulled into a conversation you weren't part of Drive adoption through enablement; a report no one uses is a failed report, regardless of how well it was built Drive analytical innovation Design the visual language for new concepts — whether that's consumption ramp across a cohort or the shape of a PLG-to-enterprise conversion curve — and find the one view that makes it click for the audience Leverage Claude to surface signal from unstructured data (call transcripts, deal notes, customer feedback) and turn it into structured reporting inputs Develop original scoring and prioritization methodologies — account propensity, deal health, whitespace, risk — suited to a business where the standard MEDDIC-plus-firmographics playbook only gets you partway there Serve as the team's internal R&D function for analytical methods: run experiments, share what works, and raise the bar for what GTM reporting can do Scale the function Build reporting infrastructure that scales ahead of the organization — what works for 30 sellers should still work for 300 Manage competing stakeholder requests with sound judgment: know when to say yes, when to consolidate three asks into one better solution, and when to push back Document standards, build templates, and create the playbook so that reporting quality doesn't depend on any one person being in the loop Minimum qualifications Advanced SQL and hands-on experience building in Looker and LookML (not just consuming dashboards) Fluency with Salesforce data models and comfort working in BigQuery or a comparable data warehouse Demonstrated ability to translate ambiguous executive asks into well-scoped, structured deliverables Strong data visualization sensibility, with an understanding that the best report is often the one with fewer things on it Experience building GTM or revenue reporting from the ground up in a high-growth environment Preferred qualifications 8+ years in revenue operations, sales strategy, GTM analytics, or a similar function, with a track record of building reporting that leaders actually use to run their business Genuine fluency in how GTM organizations operate: the rhythm of a sales org, what a forecast call sounds like, and how an account executive decides what to prioritize each week Experience with consumption-based, usage-based, or PLG revenue models where the standard pipeline-to-bookings-to-revenue funnel needs to be rethought Background in management consulting, sales strategy, or FP&A with subsequent operating experience Experience standing up data governance or metric certification programs A track record of using AI tools to accelerate analytical workflows, and a perspective on where that's headed The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000—$270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.", "summaryDescription" : "Field Reporting Insights Manager at Anthropic. Skills: Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering. Build reporting foundation. Design core reporting suite", "postedDate" : "2026-06-13T20:38:18.946", "createdAt" : "2026-06-13T20:38:18.946", "lastUpdated" : "2026-06-15T09:36:52.057", "ingestTimestamp" : "2026-06-13T20:38:18.946", "mongoId" : "6a2c91a974d8ee00a0983aba", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data visualization", "Statistical analysis", "Quantitative analysis", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Reporting foundation", "Pipeline health", "Forecast reporting", "Customer health", "Rep productivity", "Data lineage", "Metric definitions", "Analytical partner", "Scoping deliverables", "Analytical innovation", "Scoring methodologies", "Prioritization methodologies", "Reporting standards", "Reporting playbook", "GTM performance", "Pipeline reporting", "Bookings reporting", "Capacity reporting", "Customer health reporting", "Rep productivity reporting", "SaaS playbook", "Revenue operations", "Sales strategy", "GTM analytics", "Sales org rhythm", "Account executive decisions", "Traditional SaaS playbook", "Looker", "LookML", "Salesforce", "BigQuery" ], "skillCount" : 43, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 628.01166, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c5e4974d8ee00a08e2c07", "title" : "Vice President, Research and Insights", "company" : "Prosek Partners", "industry" : "Communications", "salary" : { "min" : 150000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NY, United States", "locations" : [ "New York", "NY", "United States" ], "timestamp" : "2026-06-15T00:27:53.965", "fingerprint" : "9a0d6c270c8fc505dc7f79202eb8b0b81ee17c3d0e6d83ce709aeacc3f97639b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/prosek/jobs/7733556", "externalId" : "7733556", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "technicalSkills" : "AI, Python, SQL", "professionalSkills" : [ "Data-driven planning", "Client counseling", "Research methodologies", "Predictive risk", "Crisis assessment", "Whitespace analyses", "Narrative intelligence", "Influencer identification", "Audience analysis", "New business proposals", "Data integration", "Data visualization" ], "hardSkillsList" : [ "Quantitative research", "Statistical analysis", "Writing skills", "Presentation skills" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Quantitative research", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Writing skills", "level" : "intermediate" }, { "name" : "Presentation skills", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Research and analytics, AI analytics, Data insights", "majorSkillsList" : [ "Research and analytics", "AI analytics", "Data insights" ], "coreResponsibilities" : "Lead integrated client teams, Ensure data-driven planning, Ensure data-driven execution, Ensure data-driven content development, Serve as strategic counselor, Lead day-to-day client contact, Oversee research projects, Manage research projects, Create measurement frameworks, Implement measurement frameworks, Create research methodologies, Implement research methodologies, Conduct global qualitative research, Conduct global quantitative research, Analyze research results, Monitor media, Assess predictive risk, Assess crisis risk, Conduct whitespace analyses, Perform competitive analysis, Perform media landscape analysis, Analyze narrative intelligence, Identify influencers, Vet influencers, Analyze audiences, Develop new business proposals, Present data, Present insights, Develop reports, Mentor reports, Provide feedback, Hold reports accountable, Conduct reviews, Oversee professional development, Oversee budget creation, Monitor program budgets, Review written materials, Edit written materials, Manage flow of account work, Ensure client objectives are met, Champion the team, Motivate team members, Engage team members, Work to potential, Give team members feedback, Contribute to new business development, Lead RFP responses, Write proposals, Pitch clients, Prospect clients, Recruit new hires, Evaluate potential new hires", "teamCollaboration" : "Integrated client teams; Cross-functional teams; Digital teams; Creative teams; Content teams; PR teams", "projectManagementSkills" : [ "RFP responses", "Proposal writing" ], "domainKnowledge" : "Communications channels; Financial services; Professional services; B2B communications", "domainList" : [ "communications-channels", "financial-services", "professional-services", "b2b-communications" ], "domainSpecificKnowledge" : [ "Communications channels", "Financial services", "Professional services", "B2B communications" ], "toolProficiency" : [ "Talkwalker", "SignalAI", "StatSocial", "Microsoft Suite", "Looker", "Tableau", "PowerBI" ], "communicationSkills" : "Presenting data; Writing skills; Presentation skills", "continuousLearning" : "Custom career opportunities", "innovationCreativity" : "Brainstorming; Creative strategy planning", "problemSolvingSkills" : "Extrapolating data; Data-driven decision making", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Who is Prosek? We are entrepreneurial. Prosek is one of the largest independent communications and marketing firms in the U.S., with offices and strategic partners across the country and worldwide. We are specialized. Prosek provides unparalleled expertise for some of the most notable brands in financial services, professional services, and beyond. We are people centric. Our teams work together in a collegial atmosphere that breeds professional respect and friendship. We are award-winning. Join an \"Army of Entrepreneurs\" that was recently named 2026Global Agency of the Year by PRovoke Media. Overview: We're currently seeking a Vice President to join our growing Data and Analytics team. The Vice President (VP) plays a critical leadership role on the team and across the firm. You are expected to have the skills and behaviors needed to up-level client work, build culture and drive growth for the firm. While you should be a big-picture thinker, you also need to be able to lead and inspire teams to turn big ideas into action. Most of all, you need to be an incredible people manager who enjoys developing and mentoring junior staff, a critical aspect of our growing team. In this role, you must be an expert in research and analytics across communications channels, skilled at leveraging AI and adept at extrapolating data to find the “so what” for clients. This candidate will be expected to conduct primary and secondary research to inform strategy, monitor earned, social and owned activity across relevant platforms and develop insightful and actionable reports for executives. At Prosek, everyone is expected to be a strong team player, participating in brainstorming and creative strategy planning for clients and internal projects. Our culture is built around being an \"Army of Entrepreneurs,\" and we encourage everyone to embrace that and be the \"writer of their own story.\" What you'll be doing: Lead integrated client teams to ensure data-driven planning, execution and content development Serve as a strategic counselor and lead day-to-day client contact for key client relationships Oversee and manage research and analytics projects independently including, but not limited to: Creation and implementation of measurement frameworks and research methodologies Global qualitative and quantitative research studies (i.e., writing questionnaires, overseeing data collection, analyzing results) Media monitoring, predictive risk and crisis assessment Whitespace analyses (i.e., competitive and media landscape analysis) Narrative intelligence Influencer identification and vetting Audience analysis AI analytics Development of new business proposals Presenting data and insights to tell a clear and compelling story of impact Develop and mentor reports through coaching, consistently providing feedback, holding them accountable, conducting their reviews, and overseeing their professional development Demonstrate an expert understanding of the data oversee creation and ongoing monitoring of program budgets Be responsible for reviewing and editing all written materials developed by account team and assist team members with fine-tuning their writing skills Manage the flow of account work among junior team members to ensure that client objectives are met Act as \"champion\" of the team and ensure that the staff is motivated, engaged and working to potential and proactively give team members feedback Contribute to new business development, including leading RFP responses, proposal writing, client pitches and prospecting Become involved in recruiting and evaluate potential new hires to determine if they would work well with Prosek What makes you qualified: 10-12 years of experience Strong command of data & analytics measurement and monitoring tools (including Talkwalker/SignalAI or similar platforms, StatSocial) Expert understanding of primary quantitative research Strong statistical, writing and presentation skills Strong eye for detail Experience in financial services, professional services, technology and/or B2B communications Ability to manage cross-functional integrated teams and form relationships across digital, creative, content and PR Adept in Microsoft Suite (Outlook, Excel, PowerPoint, etc.) Experience vetting and selecting research vendors and managing project budgets Experience in data integration and visualization platforms and practices preferred, but not required (Looker, Tableau, PowerBI, Python, etc.) Readiness to deliver excellent client service and be a member of a growing team Ability to maintain and grow the collective culture and value of the Data and Analytics team and Prosek as a whole What are the perks? 401(k) employer match: There is no time like the present to prepare for your future! Premium healthcare plans, including medical, dental and vision coverage: Your health comes first. Hybrid work model: 2 days in the office, 3 days from home - Pick your own schedule. 2 weeks of remote work per year: You do you! Generous Paid Time Off (PTO) package including birthday PTO: Enjoy life's moments. Custom career opportunities: Choose your own adventure! Our Core Values: Chemistry, Collaboration and Belonging: Our collegial culture inspires people with different perspectives and backgrounds to work towards common goals as we brainstorm, plan and execute on behalf of our clients and to build our business together. Grit and Hustle: We work hard. We roll up our sleeves. We are not precious or pretentious. We do not take short cuts. Instead, we put in the work and do what it takes to get the job done. The Excitement of New Challenges: We view challenges as opportunities and embrace them. They motivate us to learn and grow so that we can be the best versions of ourselves, for our clients and each other. A Workplace with Humanity: We recognize the rigor and demand of our work. We also recognize that life inside and outside of Prosek can be stressful. We work very hard to run our business with a heavy dose of humanity and to make Prosek a safe place where people enjoy the work and each other. Our Beliefs on Culture, Diversity & Belonging: We are committed to building a diverse workforce reflecting and embracing diversity of all kinds - diversity of geography, cognitive diversity, race, ethnicity, age, gender identity, sexual orientation, political affiliation, socioeconomic backgrounds. We believe having teams that represent the broader communities where we live and work creates a culture that celebrates creativity, inclusiveness and teamwork and helps us offer our global clientele of mature and emerging businesses counsel that is dynamic, rich and nuanced. The anticipated salary range for this position is $150,000-175,000. An employee's salary is determined by a range of factors including but not limited to relevant experience, qualifications, skills, seniority, geographic location, performance, and business or organizational needs. The range listed is one component of Prosek's total compensation package for employees. Other rewards may include medical, dental and vision coverage, 401(k) matching, new business commission, paid time off, and other benefits. Prosek Partners provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Follow us: Website | Twitter | LinkedIn | Facebook | Instagram #LI-HYBRID", "summaryDescription" : "Vice President, Research and Insights at Prosek Partners. Skills: Research and analytics, AI analytics, Data insights. Lead integrated client teams. 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