{ "count" : 107889, "data" : [ { "id" : "6a2a5bc174d8ee00a0611a69", "title" : "Director, Data Strategy and Data Governance", "company" : "Velir", "salary" : { "min" : 185000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-14T22:18:09.865", "fingerprint" : "8465112755ecef0f6801b66a451f41857aae562efb1ac5670caf95f1f2dbfdc1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/velir/jobs/5238711008", "externalId" : "5238711008", "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "experienceLevel" : "Director", "technicalSkills" : "Data warehousing, Orchestration, Data engineering, Data catalogs", "professionalSkills" : [ "Data strategy", "Data governance", "Data management", "Enterprise data strategies", "Governance frameworks", "Metadata management", "MDM", "Data stewardship", "Access controls", "Monetization", "Risk management", "Organizational enablement", "Data transformation", "Platform architecture", "Account performance" ], "hardSkillsList" : [ "Data quality", "Observability", "Compliance" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Observability", "level" : "intermediate" }, { "name" : "Compliance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Data strategy, Data governance", "majorSkillsList" : [ "Data strategy", "Data governance" ], "coreResponsibilities" : "Lead enterprise data strategies aligned to client business, Design and implement scalable governance frameworks spanning data, Advise executive stakeholders on making data a strategic, Serve as the primary executive partner to senior, Translate complex business challenges into actionable data strategies, Lead new business efforts including RFP responses, proposals,, Drive account growth and contribute to go-to-market strategy,, Represent the organization through speaking engagements, industry events,, Align strategy, governance, and execution across data, project, Integrate governance principles into platform architecture and collaborate, Oversee delivery of data strategy and governance engagements,, Lead and mentor a team of managers and", "teamCollaboration" : "Cross-functional teams; Client services teams", "domainKnowledge" : "Cloud-native warehousing; Row-level security; Role-based access control", "domainList" : [ "cloud-native-warehousing", "row-level-security", "role-based-access-control" ], "domainSpecificKnowledge" : [ "Cloud-native warehousing", "Row-level security", "Role-based access control" ], "communicationSkills" : "Executive presentations; Client presentations", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Drive business value; Enable decision-making; Maintain compliance; Maintain quality; Maintain trust", "qualificationsBasic" : "10+ years of experience in data strategy, governance, or data management, Proven track record leading enterprise-scale initiatives, Experience engaging executive stakeholders, Leadership and team management experience, Background in analytics, engineering, data science, or related roles, Excellent communication (written and verbal) and problem-solving skills", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy focused on leadership, process improvement, implementation, and advanced analytics. At Velir, we believe people are our greatest asset. Our culture is built on a foundation of trust, collaboration, and continued improvement. We strive for excellence in everything we do, embracing challenges as opportunities for growth. Our success is driven by a shared passion for making a positive impact on our customers, our communities and each other. We are a remote first company that offers competitive pay and excellent benefits. Overview The Director, Data Strategy & Data Governance is responsible for leading data engagements across a diverse set of clients. This role stretches from expertise on data stack architecture to data team organizational structure to ensuring data products and assets drive tangible outcomes. The role will also serve as the leading subject matter expert on enterprise data strategies and governance frameworks. The core function of this role is to make data a strategic asset for clients by driving business value, enabling decision-making, and maintaining compliance, quality, and trust. As a senior leader, the Director serves as the primary executive partner to clients, owning relationships at the C-suite level and guiding organizations through data transformation initiatives. This role is accountable for aligning data strategy with business objectives, establishing governance operating models, and ensuring successful execution across cross-functional teams. In addition, this role leads an important function within the Data organization and plays a key role in facilitating business development, engaging in thought leadership, and supporting strategic partnerships. The right candidate for this role is eager to dig into the specifics of the data generating process of a source system as they are to explain the differences between row-level security (RLS) and role-based access control. Responsibilities Data Strategy & Governance Leadership Lead enterprise data strategies aligned to client business objectives and digital transformation goals Design and implement scalable governance frameworks spanning data quality, metadata, MDM, stewardship, and access controls Advise executive stakeholders on making data a strategic asset through monetization, risk management, and organizational enablement Executive Client Leadership & Advisory Serve as the primary executive partner to senior client stakeholders, including CDOs and CIOs Translate complex business challenges into actionable data strategies and present recommendations to executive audiences Business Development & Thought Leadership Lead new business efforts including RFP responses, proposals, and client presentations Drive account growth and contribute to go-to-market strategy, partnerships, and service development Represent the organization through speaking engagements, industry events, and publications Cross-Functional Leadership Align strategy, governance, and execution across data, project management, and client services teams Integrate governance principles into platform architecture and collaborate with finance and leadership on account performance Engagement Oversight & Delivery Excellence Oversee delivery of data strategy and governance engagements, ensuring quality, timeliness, and client satisfaction Lead and mentor a team of managers and senior leaders, fostering growth and high performance Technical & Domain Expertise Deep expertise in modern data ecosystems including cloud-native warehousing, orchestration, data engineering, and catalogs Strong command of governance disciplines — data quality, observability, metadata, MDM, and compliance — with the ability to balance technical and business priorities Qualifications 10+ years of experience in data strategy, governance, or data management Proven track record leading enterprise-scale initiatives Experience engaging executive stakeholders Demonstrable expertise in tools and platforms belonging to the modern data stack Strong leadership and team management experience Background in analytics, engineering, data science, or related roles Excellent communication (written and verbal) and problem-solving skills Physical Requirements Frequent sitting at a desk performing work on a computer Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Compensation Range: $185,000 - $200,000 annually Please note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role. Core Company Values Take the Long View - Ensure the company is built to last Be Courageous - Make the right decisions even when they aren't the easiest decisions Be Genuine - Bring honesty and authenticity to all that you do Work with Focus + Passion - Display purpose and pride in your work and never stop learning As an equal opportunity employer, we are firmly committing to diversity, equity, and inclusion in our hiring efforts. We recognize that we need team members from all backgrounds and experiences to successfully shape a positive employee experience as well as deliver our product and service solutions. To that end, we actively seek candidates who can bring diverse experiences and backgrounds to our team. We know that complex factors and systemic bias can get in the way of us meeting strong candidates, so please don't hesitate to apply even if you're not 100% sure. At this time, Velir does not sponsor candidates and unfortunately cannot accept those on OPT or CPT.", "summaryDescription" : "Director, Data Strategy and Data Governance at Velir. Skills: Data strategy, Data governance. Lead enterprise data strategies aligned to client business. Design and implement scalable governance frameworks spanning data", "postedDate" : "2026-06-11T22:09:37.654", "createdAt" : "2026-06-11T22:09:37.654", "lastUpdated" : "2026-06-14T22:18:09.865", "ingestTimestamp" : "2026-06-11T22:09:37.654", "mongoId" : "6a2a5bc174d8ee00a0611a69", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 185000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data quality", "Observability", "Compliance", "Leadership", "Mentoring", "Data strategy", "Data governance", "Data management", "Enterprise data strategies", "Governance frameworks", "Metadata management", "MDM", "Data stewardship", "Access controls", "Monetization", "Risk management", "Organizational enablement", "Data transformation", "Platform architecture", "Account performance", "Cloud-native warehousing", "Row-level security", "Role-based access control" ], "skillCount" : 23, "jobCategory" : "other", "jobSubcategory" : "data-solutions", "dataQualityScore" : 0.8888889, "_score" : 1507.635, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2a926c74d8ee00a0690e93", "title" : "Senior Data Analyst, Operations Workforce Strategy", "company" : "Aurora Innovation", "salary" : { "min" : 165000.0, "max" : 235000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Data Analyst in San Francisco, United States, within the Technology industry, adjusted for seniority and company size." }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States" ], "timestamp" : "2026-06-14T02:34:28.246", "fingerprint" : "506f0d4dc3965b3cd0288b4282682e1b4070bafe08cb48303f0d69b4973c098d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://aurora.tech/jobs/8549660002?gh_jid=8549660002", "externalId" : "8549660002", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, dbt", "professionalSkills" : [ "Financial modeling", "Operational models", "Staffing strategy", "Vendor management", "Workforce strategy" ], "hardSkillsList" : [ "Statistical modeling", "Probabilistic modeling", "Simulation modeling", "Data analysis", "Data integrity" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Probabilistic modeling", "level" : "intermediate" }, { "name" : "Simulation modeling", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data integrity", "level" : "intermediate" } ], "majorSkills" : "Workforce strategy, Financial modeling, Data analysis", "majorSkillsList" : [ "Workforce strategy", "Financial modeling", "Data analysis" ], "coreResponsibilities" : "Forecast headcount needs, Align headcount needs, Build financial models, Build operational models, Build dashboards, Build metrics, Build reports, Develop scenarios, Apply probabilistic modeling, Apply simulation modeling, Apply artificial intelligence, Simulate cost trade-offs, Simulate efficiency trade-offs, Simulate resource optimization, Lead headcount reviews, Synthesize headcount performance, Analyze datasets, Uncover statistical trends, Monitor workforce KPIs, Identify program gaps, Identify execution issues, Improve data integrity, Automate reporting workflows", "teamCollaboration" : "Cross-functional teams; Operations leaders; Strategy leaders; Recruiting leaders; Finance leaders; Senior Operations leaders; Senior Finance leaders", "domainKnowledge" : "Workforce strategy; Staffing; Vendor engagement; Labor productivity; Attrition", "domainList" : [ "workforce-strategy", "staffing", "vendor-engagement", "labor-productivity", "attrition" ], "domainSpecificKnowledge" : [ "Workforce strategy", "Staffing", "Vendor engagement", "Labor productivity", "Attrition" ], "toolProficiency" : [ "Excel", "Gsheets", "Mode", "Tableau", "DBT" ], "communicationSkills" : "Communicate complex analyses", "problemSolvingSkills" : "Data-driven decision making", "qualificationsBasic" : "5+ years of experience, Bachelor's degree or work experience in quantitative field, Exceptional Excel/Gsheets financial modeling skills, SQL proficiency, Python proficiency, Statistical modeling skills, Experience with business intelligence tools, Experience building/maintaining data pipelines, Experience with DBT models", "qualificationsPreferred" : "PhD preferred, Cloud platform certifications preferred", "workSiteFlexibility" : "Hybrid", "rawDescription" : "Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn. Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We are searching for a Senior Data Analyst, Operations Workforce Strategy to join the Aurora Data Solutions team, who would be based in San Francisco, CA. In this role, you will forecast, allocate, and optimize all operations headcount to align resource plans and schedules to hiring and vendor engagement strategies. You will be at the forefront of our staffing and vendor management strategy, working closely with cross-functional teams to gather and analyze data, identify trends, and develop plans that support our operational goals. This role requires strategic orchestration, analyzing workforce needs, and driving momentum under a fast-paced, ever-changing environment. In this role, you will Partner with Operations, Strategy, Recruiting, and Finance leaders to forecast and align headcount needs against organizational strategy and roadmap Build sophisticated financial and operational models that connect business drivers to staffing requirements, recruiting / vendor management plans, and budget implications Build intuitive dashboards, metrics, and reports that highlight staffing utilization, labor productivity constraints, and capacity gaps Partner with senior Operations and Finance leaders to develop scenarios balancing service levels, cost optimization, and growth objectives Apply probabilistic modeling, Python-based simulation modeling, and artificial intelligence to simulate cost & efficiency trade-offs and resource optimization Lead monthly headcount data analysis and vendor management strategy reviews to synthesize headcount performance inputs from multiple stakeholders into cohesive strategic recommendations Analyze large, disparate datasets to uncover statistical trends in labor productivity and attrition Monitor workforce KPIs and identify program gaps or execution issues that impact profitability and scalability Improving data integrity and automating manual reporting workflows to increase functional efficiency Required Qualifications 5+ years of experience in data science, management consulting, investment banking, engineering operations, FP&A, or strategic operations, ideally in a fast-scaling tech environment Bachelor’s degree and / or work experience in a quantitative field (e. g. Operations Research, Business Analytics, Economics, Math, Statistics, Finance) Exceptional Excel / Gsheets financial modeling skills, SQL, Python and statistical modeling skills and working with business intelligence tools (e.g., Mode, Tableau) Experience building/maintaining data pipelines and DBT models Strategic mindset with ability to balance detailed analysis with big-picture thinking Track record of multi-functional leadership and excellent stakeholder management to drive rapid, effective execution across the organization Strong executive presence with demonstrated ability to communicate complex analyses clearly to senior stakeholders Superior attention to detail Ownership mentality to drive issues and tasks to completion, with a strong bias for action The base salary range for this position is $115,000.00-$167,000.00 per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits. #LI-SP Working at Aurora At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks. We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week. Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom. Our commitment to safety At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what. Our commitment to inclusion Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech. For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.", "summaryDescription" : "Senior Data Analyst, Operations Workforce Strategy at Aurora Innovation. Skills: Workforce strategy, Financial modeling, Data analysis. Forecast headcount needs. Align headcount needs", "postedDate" : "2026-06-11T23:50:38.205", "createdAt" : "2026-06-11T23:50:38.205", "lastUpdated" : "2026-06-14T02:34:28.246", "ingestTimestamp" : "2026-06-11T23:50:38.205", "mongoId" : "6a2a926c74d8ee00a0690e93", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 235000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical modeling", "Probabilistic modeling", "Simulation modeling", "Data analysis", "Data integrity", "Workforce strategy", "Financial modeling", "Operational models", "Staffing strategy", "Vendor management", "Staffing", "Vendor engagement", "Labor productivity", "Attrition", "Excel", "Gsheets", "Mode", "Tableau", "DBT" ], "skillCount" : 19, "jobCategory" : "finance", "jobSubcategory" : "finance", "dataQualityScore" : 0.8888889, "_score" : 1466.7843, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ca58374d8ee00a09b6ec2", "title" : "Senior Data Analyst", "company" : "Forge Global", "industry" : "FinTech", "salary" : { "min" : 98000.0, "max" : 100000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Denver, Colorado, United States", "locations" : [ "Denver", "Colorado", "United States", "New York", "New York", "United States", "San Francisco", "California", "United States" ], "timestamp" : "2026-06-15T10:21:07.455", "fingerprint" : "ec7a741f3653d6b8a906c84b49648cbe4a463de865e3d609e76b3db18957268d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/forgeglobal/jobs/6014212004", "externalId" : "6014212004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Snowflake, Segment, Looker, Heap, Launch Darkly", "professionalSkills" : [ "Product strategy", "Organizational impact", "Business strategy", "Forecasting", "Growth strategy", "Data quality", "Data consistency", "Data documentation", "Product development", "Business context" ], "hardSkillsList" : [ "Data analysis", "Predictive modeling", "Statistical analysis", "Experimental design", "A/B testing", "Performance tuning", "Automation" ], "softSkillsList" : [ "Storytelling", "Analytical", "Problem-solving" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Storytelling" }, { "name" : "Analytical" }, { "name" : "Problem-solving" } ], "majorSkills" : "Data analysis, Predictive modeling, BI tools, Data warehouses", "majorSkillsList" : [ "Data analysis", "Predictive modeling", "BI tools", "Data warehouses" ], "coreResponsibilities" : "Shape business strategy, Analyze data, Highlight opportunities, Provide insights, Develop predictive models, Develop forecasting tools, Build decision-making tools, Design datasets, Maintain datasets, Automate datasets, Automate reporting, Automate analytics processes, Communicate findings, Improve data infrastructure, Enhance data quality, Enhance data consistency, Enhance data documentation, Design A tests, Analyze A tests, Analyze experiments", "teamCollaboration" : "Partner with stakeholders; Cross-functional teams; Manage stakeholders", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Private market; Marketplace strategy; User data; GTM data sources; Growth strategies", "domainList" : [ "private-market", "marketplace-strategy", "user-data", "gtm-data-sources", "growth-strategies" ], "domainSpecificKnowledge" : [ "Private market", "Marketplace strategy", "User data", "GTM data sources", "Growth strategies" ], "toolProficiency" : [ "SQL", "Python", "Snowflake", "Segment", "Looker", "Heap", "Launch Darkly" ], "communicationSkills" : "Clear narratives; Visualizations; Presentations; Storytelling", "documentationSkills" : "Data documentation", "problemSolvingSkills" : "Structure ambiguous problems; Translate business questions", "specialRequirements" : "Operate computer 8 hours", "outcomesObjectives" : "Influence strategy; Inform decision-making; Support growth; Support product efficiency; Support marketplace strategy; Deliver clear insights; Support long-term growth; Guide product development; Measure impact", "qualificationsBasic" : "4+ years of experience, Expert-level SQL, Proficient in Python, Hands-on BI tools, Hands-on data warehouses, Foundation in experimental design, Foundation in A/B testing, Undergraduate degree", "qualificationsPreferred" : "PhD preferred, Launch Darkly experience, Heap experience", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "At Forge, we know our team is our greatest asset. As technology innovators in the private market, our vision is to deliver a richer future for everyone. We live that vision through our values of being bold, accountable, and humble. We experience the value that our vision brings to the world every day, helping the teams behind the greatest innovations of our generation, from space travel to artificial intelligence, and more. With liquidity solutions, exclusive data and insights, a custody offering, and a vibrant marketplace, Forge’s goal is to build the best-in-class technology infrastructure to power a global private market that is transparent, accessible, and seamless for companies, their employees, and investors. Through Forge, employees can sell their private shares, employers can reward shareholders with pre-IPO liquidity and individual and institutional investors can participate in private unicorn growth. Forge's differentiated global marketplace addresses rising demand among individual and institutional investors for exposure to private company stocks and is building a growing network effect. Our ability to offer these powerful financial solutions has generated incredible interest from investors, demand from customers, and a need to grow our team to meet the needs of more companies, teams, and innovators in this way. The Role: We are looking to hire a Senior Data Analyst to join our Analytics team. In this role, you will partner with stakeholders across Product, Marketing, Finance, and Senior Leadership to deliver data-driven insights that influence strategy and decision-making across Forge. You will design and execute experiments, build new datasets, automate reporting, develop predictive analytics and attribution models — ultimately shaping how we measure, understand, and grow our marketplace. This is a high-impact individual contributor role, ideal for someone who thrives at the intersection of analytics, product strategy, and organizational impact. Responsibilities: Shape business strategy by using SQL, Python, and other analytics tools to analyze data, highlight opportunities, and provide insights that directly inform product and company direction. Develop predictive models and forecasting tools using Python to support growth, product efficiency, and marketplace strategy leveraging internal user data and external GTM data sources. Build decision-making tools by designing, maintaining, and automating datasets, dashboards, and reporting infrastructure in Snowflake, Segment, Looker, and Heap to deliver clear insights that support long-term growth strategies. Automate recurring reporting and analytics processes using Python. Communicate findings through clear narratives, visualizations, and presentations to senior stakeholders. Improve our data infrastructure by identifying opportunities to enhance data quality, consistency, and documentation, enabling scalable, accurate, and reliable analytics across Forge. Design and analyze A/B tests and other experiments in Launch Darkly to guide product development and measure impact. Qualifications: 4+ years of experience in analytics, product analytics, data science or a related field. Expert-level SQL (advanced queries, optimization, and performance tuning). Proficient in Python (2+ years) for data analysis, automation, visualization, and forecasting/modeling. Hands-on experience with BI and data visualization tools, ideally Looker or Tableau, and data warehouses such as Snowflake. Strong foundation in experimental design and A/B testing methodology, preferably with experience in Launch Darkly and Heap. Demonstrated ability to develop predictive models and apply statistical analysis in a business context. Excellent analytical and problem-solving skills, with the ability to structure ambiguous problems and translate business questions into technical analyses. Strong communication and storytelling skills — able to present complex insights in a clear, actionable way to both technical and non-technical audiences. Track record of working cross-functionally and managing multiple stakeholders and priorities. Undergraduate degree in finance, economics, statistics, mathematics, engineering or related field. Physical requirements: operate a computer for 8 hours per day; give and receive detailed information through verbal and written communication For residents of San Francisco, CA the annual salary range for this role is $98,000 - $100,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors Upon offer, we conduct background checks that include employment and education verification, state, and county criminal history searches as well as fingerprint and drug test. Forge is proud to be an equal opportunity employer committed to supporting a diverse and inclusive workplace. Our employment decisions are made without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, veteran status, or any other characteristic protected by federal, state, or local laws.", "summaryDescription" : "Senior Data Analyst at Forge Global. Skills: Data analysis, Predictive modeling, BI tools, Data warehouses. Shape business strategy. Analyze data", "postedDate" : "2026-06-14T09:13:57.261", "createdAt" : "2026-06-14T09:13:57.261", "lastUpdated" : "2026-06-15T10:21:07.455", "ingestTimestamp" : "2026-06-14T09:13:57.261", "mongoId" : "6a2ca58374d8ee00a09b6ec2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 98000, "salaryAnnualMax" : 100000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Predictive modeling", "Statistical analysis", "Experimental design", "A/B testing", "Performance tuning", "Automation", "Storytelling", "Analytical", "Problem-solving", "BI tools", "Data warehouses", "Product strategy", "Organizational impact", "Business strategy", "Forecasting", "Growth strategy", "Data quality", "Data consistency", "Data documentation", "Product development", "Business context", "Roadmap planning", "Private market", "Marketplace strategy", "User data", "GTM data sources", "Growth strategies", "SQL", "Python", "Snowflake", "Segment", "Looker", "Heap", "Launch Darkly" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1419.7996, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca58374d8ee00a09b6ec0", "title" : "Senior Data Analyst", "company" : "Forge Global", "industry" : "FinTech", "salary" : { "min" : 98000.0, "max" : 100000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Denver, Colorado, United States", "locations" : [ "Denver", "Colorado", "United States", "New York", "New York", "United States", "San Francisco", "California", "United States" ], "timestamp" : "2026-06-15T09:35:56.410", "fingerprint" : "7d6c6ed85ddd423125372426b0d709999997b43c0458d11f36fe630cbeb14616", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/forgeglobal/jobs/6014229004", "externalId" : "6014229004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Snowflake, Segment, Looker, Heap", "professionalSkills" : [ "Product strategy", "Organizational impact", "Business strategy", "Data analysis", "Forecasting", "Growth strategy", "Product development", "Data quality", "Data consistency", "Data documentation", "Scalable analytics", "Accurate analytics", "Reliable analytics" ], "hardSkillsList" : [ "Data analysis", "Predictive modeling", "Forecasting", "A/B testing", "Statistical analysis", "Experimental design", "Data warehousing", "Data visualization", "Reporting automation" ], "softSkillsList" : [ "Storytelling", "Problem-solving" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "Forecasting", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Reporting automation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Storytelling" }, { "name" : "Problem-solving" } ], "majorSkills" : "Data analysis, Predictive modeling, BI tools, SQL", "majorSkillsList" : [ "Data analysis", "Predictive modeling", "BI tools", "SQL" ], "coreResponsibilities" : "Shape business strategy, Analyze data, Highlight opportunities, Provide insights, Develop predictive models, Develop forecasting tools, Build decision-making tools, Design datasets, Maintain datasets, Automate datasets, Automate reporting, Automate analytics processes, Communicate findings, Present insights, Improve data infrastructure, Enhance data quality, Enhance data consistency, Enhance data documentation, Design A tests, Analyze A tests, Analyze experiments, Guide product development, Measure impact", "teamCollaboration" : "Partner with stakeholders; Cross-functional teams; Work cross-functionally; Manage stakeholders; Manage priorities", "domainKnowledge" : "Private market; Marketplace strategy; User data; GTM data sources", "domainList" : [ "private-market", "marketplace-strategy", "user-data", "gtm-data-sources" ], "domainSpecificKnowledge" : [ "Private market", "Marketplace strategy", "User data", "GTM data sources" ], "toolProficiency" : [ "SQL", "Python", "Snowflake", "Segment", "Looker", "Heap", "Launch Darkly" ], "communicationSkills" : "Clear narratives; Visualizations; Presentations; Storytelling", "documentationSkills" : "Data documentation", "problemSolvingSkills" : "Problem-solving; Structure ambiguous problems; Translate business questions", "specialRequirements" : "Operate computer 8 hours", "outcomesObjectives" : "Deliver data-driven insights; Influence strategy; Inform decision-making; Support growth; Support product efficiency; Support marketplace strategy; Deliver clear insights; Support long-term growth; Guide product development; Measure impact", "qualificationsBasic" : "4+ years experience, Expert-level SQL, Proficient in Python, Hands-on BI tools, Hands-on data warehouses, Experimental design foundation, A/B testing methodology, Predictive models development, Statistical analysis application, Analytical skills, Problem-solving skills, Structure ambiguous problems, Translate business questions, Track record cross-functionally, Manage multiple stakeholders, Manage multiple priorities, Undergraduate degree", "qualificationsPreferred" : "Looker experience preferred, Tableau experience preferred, Snowflake experience preferred, Launch Darkly experience preferred, Heap experience preferred", "remoteFriendly" : false, "rawDescription" : "At Forge, we know our team is our greatest asset. As technology innovators in the private market, our vision is to deliver a richer future for everyone. We live that vision through our values of being bold, accountable, and humble. We experience the value that our vision brings to the world every day, helping the teams behind the greatest innovations of our generation, from space travel to artificial intelligence, and more. With liquidity solutions, exclusive data and insights, a custody offering, and a vibrant marketplace, Forge’s goal is to build the best-in-class technology infrastructure to power a global private market that is transparent, accessible, and seamless for companies, their employees, and investors. Through Forge, employees can sell their private shares, employers can reward shareholders with pre-IPO liquidity and individual and institutional investors can participate in private unicorn growth. Forge's differentiated global marketplace addresses rising demand among individual and institutional investors for exposure to private company stocks and is building a growing network effect. Our ability to offer these powerful financial solutions has generated incredible interest from investors, demand from customers, and a need to grow our team to meet the needs of more companies, teams, and innovators in this way. The Role: We are looking to hire a Senior Data Analyst to join our Analytics team. In this role, you will partner with stakeholders across Product, Marketing, Finance, and Senior Leadership to deliver data-driven insights that influence strategy and decision-making across Forge. You will design and execute experiments, build new datasets, automate reporting, develop predictive analytics and attribution models — ultimately shaping how we measure, understand, and grow our marketplace. This is a high-impact individual contributor role, ideal for someone who thrives at the intersection of analytics, product strategy, and organizational impact. Responsibilities: Shape business strategy by using SQL, Python, and other analytics tools to analyze data, highlight opportunities, and provide insights that directly inform product and company direction. Develop predictive models and forecasting tools using Python to support growth, product efficiency, and marketplace strategy leveraging internal user data and external GTM data sources. Build decision-making tools by designing, maintaining, and automating datasets, dashboards, and reporting infrastructure in Snowflake, Segment, Looker, and Heap to deliver clear insights that support long-term growth strategies. Automate recurring reporting and analytics processes using Python. Communicate findings through clear narratives, visualizations, and presentations to senior stakeholders. Improve our data infrastructure by identifying opportunities to enhance data quality, consistency, and documentation, enabling scalable, accurate, and reliable analytics across Forge. Design and analyze A/B tests and other experiments in Launch Darkly to guide product development and measure impact. Qualifications: 4+ years of experience in analytics, product analytics, data science or a related field. Expert-level SQL (advanced queries, optimization, and performance tuning). Proficient in Python (2+ years) for data analysis, automation, visualization, and forecasting/modeling. Hands-on experience with BI and data visualization tools, ideally Looker or Tableau, and data warehouses such as Snowflake. Strong foundation in experimental design and A/B testing methodology, preferably with experience in Launch Darkly and Heap. Demonstrated ability to develop predictive models and apply statistical analysis in a business context. Excellent analytical and problem-solving skills, with the ability to structure ambiguous problems and translate business questions into technical analyses. Strong communication and storytelling skills — able to present complex insights in a clear, actionable way to both technical and non-technical audiences. Track record of working cross-functionally and managing multiple stakeholders and priorities. Undergraduate degree in finance, economics, statistics, mathematics, engineering or related field. Physical requirements: operate a computer for 8 hours per day; give and receive detailed information through verbal and written communication For residents of New York, New York the annual salary range for this role is $98,000 - $100,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors Upon offer, we conduct background checks that include employment and education verification, state, and county criminal history searches as well as fingerprint and drug test. Forge is proud to be an equal opportunity employer committed to supporting a diverse and inclusive workplace. Our employment decisions are made without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, veteran status, or any other characteristic protected by federal, state, or local laws.", "summaryDescription" : "Senior Data Analyst at Forge Global. Skills: Data analysis, Predictive modeling, BI tools, SQL. Shape business strategy. Analyze data", "postedDate" : "2026-06-14T02:58:25.404", "createdAt" : "2026-06-14T02:58:25.404", "lastUpdated" : "2026-06-15T09:35:56.410", "ingestTimestamp" : "2026-06-14T02:58:25.404", "mongoId" : "6a2ca58374d8ee00a09b6ec0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 98000, "salaryAnnualMax" : 100000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Predictive modeling", "Forecasting", "A/B testing", "Statistical analysis", "Experimental design", "Data warehousing", "Data visualization", "Reporting automation", "Storytelling", "Problem-solving", "BI tools", "SQL", "Product strategy", "Organizational impact", "Business strategy", "Growth strategy", "Product development", "Data quality", "Data consistency", "Data documentation", "Scalable analytics", "Accurate analytics", "Reliable analytics", "Private market", "Marketplace strategy", "User data", "GTM data sources", "Python", "Snowflake", "Segment", "Looker", "Heap", "Launch Darkly" ], "skillCount" : 34, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1415.8652, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca4d874d8ee00a09b3874", "title" : "Senior Data Analyst", "company" : "Dwelly", "industry" : "Real Estate", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Analyst in the UK, adjusted for the real estate industry and remote work." }, "location" : "HQ Remote", "locations" : [ "HQ Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T03:24:46.290", "fingerprint" : "4de83bb35ea0f6a66f90a82315e2b5a7216b07727ed59b8a22f9ff792f5e62c0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/dwelly/jobs/4789950101", "externalId" : "4789950101", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United Kingdom", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Metabase, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data analysis", "Business intelligence", "Feature validation", "Performance measurement", "Data accuracy", "Data consistency", "Internal reporting" ], "hardSkillsList" : [ "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Business intelligence, Machine learning, AI", "majorSkillsList" : [ "Data analysis", "Business intelligence", "Machine learning", "AI" ], "coreResponsibilities" : "Analyse large datasets, Identify trends, Identify risks, Identify optimisation opportunities, Define KPIs, Track KPIs, Build dashboards, Build reporting frameworks, Support feature validation, Support performance measurement, Break down business problems, Improve data accuracy, Improve data consistency, Improve internal reporting standards", "teamCollaboration" : "Product teams; Engineering teams; Operations teams; Commercial teams", "domainKnowledge" : "AI-enabled lettings; Property management; Real estate agencies; Tenant management; Property maintenance; Digital letting platform", "domainList" : [ "ai-enabled-lettings", "property-management", "real-estate-agencies", "tenant-management", "property-maintenance", "digital-letting-platform" ], "domainSpecificKnowledge" : [ "AI-enabled lettings", "Property management", "Real estate agencies", "Tenant management", "Property maintenance", "Digital letting platform" ], "toolProficiency" : [ "Looker", "Power BI", "Tableau", "Metabase" ], "communicationSkills" : "Actionable insights", "problemSolvingSkills" : "Analytical approaches", "outcomesObjectives" : "Improve performance; Improve decision-making", "qualificationsBasic" : "3+ years of experience, SQL skills, Experience with BI tools", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Dwelly Dwelly — a UK-based, AI-enabled lettings and property management platform, that is growing through a roll-up strategy acquiring estate agencies. The company leverages two arms: i) acquiring existing letting agencies, effectively buying its highly sticky, recurring revenue-type landlords portfolios, and then ii) building a top-notch technology to automate tenant management, payments, and post-rental property maintenance. The company seamlessly integrates AI services to automate all business processes within brick-and-mortar real estate agencies, integrating them into a tech-enabled digital letting platform in two months to radically improve the user experiences and increase efficiency of the business. We’re a fast-growing, product-focused company, backed by top-tier investors and led by a team with deep experience in real estate, technology, and operations. Position Summary Note: This is an evergreen role. We’re continuously building our data bench and are always open to meeting exceptional Data Analysts who want to help scale a high-growth platform. This is a cross-functional role working across Product, Operations, and Commercial teams. Your mission will be to turn complex, real-world data into structured insights that directly improve performance and decision-making. Key Responsibilities: Analyse large datasets to identify trends, risks, and optimisation opportunities Define and track KPIs across operational and product performance Build clear, reliable dashboards and reporting frameworks Partner with Product and Engineering to support feature validation and performance measurement Break down ambiguous business problems into structured analytical approaches Improve data accuracy, consistency, and internal reporting standards Qualifications & Preferred Background: 3+ years of experience in Data Analytics / Business Intelligence Strong SQL skills (mandatory) Experience with BI tools (Looker, Power BI, Tableau, Metabase, etc.) Structured, systems-oriented mindset Strong attention to detail and data quality Ability to translate data into actionable business insights Comfortable operating in a fast-paced, scaling startup environment Strong communication skills in English Compensation & Benefits: The role is fully remote, providing flexibility and enabling seamless collaboration with our geographically distributed team. Competitive salary with the potential for equity options based on performance, recognising exceptional contributions to our integration success. What is it like being a Dwell-er? Feel free to check out Dwelly Core Principles. That’s about what we believe in, how we operate and make decisions. What we offer is not a fancy office or a static workplace. Instead, this is solving one of worlds’ most complex problems in the largest consumer industry in the world (residential rentals), to improve the experience for >30% of households (>5M in the UK, and >100M including EU and US) that live in rental homes. This is about disrupting the largest, most antiquated industry in the world, with one of the strongest operational and technical teams that exist in the UK and the EU. We work hard, and we shoot for extremely ambitious results. But we want people to be proud of what they’ve built and be able to look back and say one day “hell yeah, that was me that did it all”. Customer obsession rather than competitive focus Passion for invention Operational excellence Long-term thinking By applying for this position, you consent to the processing and storage of your personal data for recruitment purposes for up to 365 days, in accordance with our data retention policy and applicable data protection laws.", "summaryDescription" : "Senior Data Analyst at Dwelly. Skills: Data analysis, Business intelligence, Machine learning, AI. Analyse large datasets. Identify trends", "postedDate" : "2026-06-13T21:38:45.796", "createdAt" : "2026-06-13T21:38:45.796", "lastUpdated" : "2026-06-15T03:24:46.290", "ingestTimestamp" : "2026-06-13T21:38:45.796", "mongoId" : "6a2ca4d874d8ee00a09b3874", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data analysis", "Business intelligence", "Machine learning", "AI", "Feature validation", "Performance measurement", "Data accuracy", "Data consistency", "Internal reporting", "AI-enabled lettings", "Property management", "Real estate agencies", "Tenant management", "Property maintenance", "Digital letting platform", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Looker", "Power BI", "Tableau", "Metabase" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1324.4905, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c918074d8ee00a0983119", "title" : "Data Governance Specialist", "company" : "GROPYUS", "industry" : "Manufacturing", "salary" : { "min" : 70000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Governance Specialist in Berlin, Germany, adjusted for the technology industry and company size." }, "location" : "Berlin, Berlin, Germany", "locations" : [ "Berlin", "Berlin", "Germany" ], "timestamp" : "2026-06-15T06:52:22.484", "fingerprint" : "495a3d4900462a1e875988753fc03711d4d7cf74ef9ed270847285030dbac0a8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/gropyus/jobs/4681064101", "externalId" : "4681064101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "state" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.5033790,13.3386522" } ], "locationText" : "Berlin, Berlin, Germany", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "domainKnowledge" : "Data Fabric; Data Mesh; Graph Databases; Construction domain; Consulting domain; Health Care domain; Regulatory requirements; Legal data requirements; Privacy requirements", "domainList" : [ "data-fabric", "data-mesh", "graph-databases", "construction-domain", "consulting-domain", "health-care-domain", "regulatory-requirements", "legal-data-requirements", "privacy-requirements" ], "domainSpecificKnowledge" : [ "Data Fabric", "Data Mesh", "Graph Databases", "Construction domain", "Consulting domain", "Health Care domain", "Regulatory requirements", "Legal data requirements", "Privacy requirements" ], "workSiteFlexibility" : "Flexible", "rawDescription" : "About The Company GROPYUS is a technology-based construction company focused on building multi-story residential buildings. Thanks to its prefabricated building system with various design options, industrial offsite construction, and fully digitalized processes, the company manufactures aspirational, sustainable, and affordable homes using timber construction methods. GROPYUS is using scalable construction and manufacturing solutions to tap into a future market, boost Europe's strength in innovation, while also playing a substantial role in improving sustainability. About the Role: As Gropyus moves into the next phase of scaling up, we anticipate our Data growing rapidly. As such, we’re looking for an experienced, enthusiastic Data Governance professional to join the Data and AI vertical. This role reports directly to the Head of Data and AI and will act as a high-level individual contributor as well as a strategic thought partner for not only the Data Leadership team (consisting of Head, Managers, and Product partners) but partners across Gropyus. A successful candidate in this role will help us apply our Semantic Ontologies to our centralized Data Fabric as well as consult and advise tech domain expert teams on improving resilient, secure and well-documented data in accordance with compliance standards and in partnership with our Governance, Risk collaborate on audits and compliance reviews. Contribute to our Data Literacy efforts and expand training opportunities for our internal stakeholders. Work closely with our Governance, Risk ability to define, measure, monitor, remediate data quality. Good understanding of data architecture, data modeling, metadata management, data lineage. Strong communication, stakeholder management skills; ability to influence, negotiate, collaborate cross-teams. Proficient in working with regulatory and legal data/privacy requirements (e. g. GDPR. EU AI Act) Desirable Skills: Hands-on experience with one or more data governance tools/platforms (e.g., Collibra, Informatica, Alation, Talend, data catalogs, metadata tools) Past projects or familiarity with Ontologies, OWL and Semantic languages Familiarity with Data Fabric or Data Mesh frameworks Familiarity or Experience with Graph Databases Experience with highly complex, dynamic domains (Construction, Consulting, or Health Care) What We Offer Be part of something big: You’re here to make a change? Come on board. At GROPYUS, we are on a mission to re-think an entire industry. Join us in reinventing construction and sustainable, affordable living. It’s on you: We offer a tremendous amount of ownership and room to make a mark - at all our organization levels. Find your solutions, drive and test them. Focus on results: You choose if you work from home, a park, or the office. Whether you start your day early, after your run, or pick up on work when your kids are in bed. What counts is your contribution and delivery. Bring your uniqueness to the team: Innovation requires diversity of thought. Diversity in background, experience and thinking is crucial to create the best product for everyone. We actively seek diversity and strive to unlock each other’s full potential. We are very proud that people from all industries and all walks of life are joining our company – in addition to core areas such as construction, engineering, and start-ups, from stock-listed companies from across automotive e-Commerce, digital, sporting goods, and more. You will work in international teams with passionate colleagues. Inspire and be inspired. Be an owner: Participate in the success of GROPYUS through stock options. Join us on our mission to design buildings as continuously evolving products to create the most exciting and affordable experience for all. We build for people and conserve the resources of our planet. We can't wait to get to know you. For more information, visit our website, and if you have any questions, please reach out to us via email.", "summaryDescription" : "Data Governance Specialist at GROPYUS", "postedDate" : "2026-06-14T09:08:12.656", "createdAt" : "2026-06-14T09:08:12.656", "lastUpdated" : "2026-06-15T06:52:22.484", "ingestTimestamp" : "2026-06-14T09:08:12.656", "mongoId" : "6a2c918074d8ee00a0983119", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data Fabric", "Data Mesh", "Graph Databases", "Construction domain", "Consulting domain", "Health Care domain", "Regulatory requirements", "Legal data requirements", "Privacy requirements" ], "skillCount" : 9, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 1315.3285, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c759a74d8ee00a09379d9", "title" : "Senior Data Analyst", "company" : "MDCalc", "industry" : "Engineering", "salary" : { "min" : 3500000.0, "max" : 6000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Analyst in the Healthcare industry, adjusted for seniority and remote work in India." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-15T08:15:37.634", "fingerprint" : "9ffb6b59540778736bf22b0f6c34e65c0b1731e9fb0573360bee1061a274c1c8", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/mdcalc/9558dce7-f7dd-4d54-ae48-99467fae6781/application", "externalId" : "9558dce7-f7dd-4d54-ae48-99467fae6781", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R", "professionalSkills" : [ "Analytical thinking", "Problem-solving" ], "hardSkillsList" : [ "Product analytics", "Business intelligence", "Data analysis", "Experiment design", "A/B testing" ], "hardSkills" : [ { "name" : "Product analytics", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" } ], "majorSkills" : "Product analytics, Data analysis, Experiment design", "majorSkillsList" : [ "Product analytics", "Data analysis", "Experiment design" ], "coreResponsibilities" : "Analyze product and user engagement data, Develop dashboards and reporting, Partner with product managers and engineers, Define success metrics, Measure feature performance, Design and analyze experiments, Evaluate product improvements and new features, Translate complex datasets into clear insights, Investigate trends and patterns, Ensure data accuracy and consistency, Communicate findings clearly", "teamCollaboration" : "Product managers; Engineers; Leadership teams; Cross-functional stakeholders; Non-technical teams", "domainKnowledge" : "Clinical decision tools; Healthcare", "domainList" : [ "clinical-decision-tools", "healthcare" ], "domainSpecificKnowledge" : [ "Clinical decision tools", "Healthcare" ], "toolProficiency" : [ "Metabase", "Looker", "Tableau" ], "communicationSkills" : "Communicate findings", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Improve product experience; Expand impact across healthcare; Shape product decisions; Improve outcomes for clinicians and patients", "qualificationsBasic" : "5-7+ years of experience in data analytics, SQL skills and experience working with large datasets, Experience analyzing product or user behavior data, Experience designing and analyzing experiments or A tests", "qualificationsPreferred" : "Familiarity with Python or R for data analysis, PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "THE OPPORTUNITY Since 2005, MDCalc has been an essential part of the clinician’s workflow to help achieve better patient outcomes. Actively used by more than 65% of physicians worldwide, MDCalc is the most broadly used medical reference – at the point-of-care – for clinical decision tools and content, and one of only four references used by >50% of US HCPs. These evidence-based tools and content are used by millions of medical professionals globally and support 50+ specialties and cover 200+ patient conditions. To continue accelerating this growth, we are expanding the team with a Senior Data Analyst who will help turn product and user data into clear insights that guide decision-making across the company. This role will play a critical part in helping MDCalc better understand how clinicians engage with our platform, how our tools are used in practice, and where opportunities exist to improve the product experience and expand our impact across healthcare. This is an exceptional opportunity for someone who enjoys working closely with product, engineering, and leadership teams to translate complex data into meaningful insights. The ideal candidate is curious, analytical, and motivated by using data to help shape product decisions and improve outcomes for clinicians and patients. THE ROLE As a Senior Data Analyst, you will analyze product usage data, design experiments, and develop dashboards and analyses that help teams understand clinician behavior and product performance. You will play a key role in helping product and leadership teams make data-informed decisions about product development, user engagement, and platform growth. The responsibilities of this individual include the following, but are not limited to: - Analyze product and user engagement data to uncover insights about how clinicians use MDCalc tools across specialties and clinical workflows, proactively identifying trends, opportunities, and areas for product improvement - Develop dashboards and reporting that provide visibility into product performance, user engagement, and key business metrics - Partner with product managers and engineers to define success metrics, measure feature performance, and help shape product decisions through data-driven insights - Design and analyze experiments and A/B tests to evaluate product improvements and new features - Translate complex datasets into clear insights and recommendations that guide product and business strategy - Investigate trends and patterns in clinician behavior, platform usage, and content performance - Ensure data accuracy and consistency across reporting and analytics workflows - Communicate findings clearly to cross-functional stakeholders, including leadership and non-technical teams YOUR BACKGROUND - 5-7+ years of experience in data analytics, product analytics, or business intelligence roles - Strong SQL skills and experience working with large datasets, including the ability to independently explore data and investigate complex product or user behavior questions - Experience analyzing product or user behavior data and translating insights into actionable recommendations - Experience designing and analyzing experiments or A/B tests - Familiarity with Python or R for data analysis is a plus - Experience with BI and data visualization tools such as Metabase, Looker, Tableau, or similar - Strong analytical thinking and problem-solving skills - Ability to communicate complex findings clearly to both technical and non-technical stakeholders - Curiosity and a strong sense of ownership when investigating questions and uncovering insights WHAT MDCALC OFFERS - Ability to make a true difference in medicine: MDCalc is the most broadly used medical reference used by 65% of physicians worldwide. - Medical, Dental, & Vision coverage, with option to extend to your dependents - Company-sponsored short-term insurance - Fully-paid 8 week parental leave, after 6 months of employment - Company-sponsored 401k, after 3 months of employment - Unlimited vacation for salaried roles - we trust you to take the time you need - Tri-annual company offsites to connect, reflect, and plan together - Work from home monthly stipend - Hybrid work environment with a great team office in Greenwich Village, NYC - A culture of fun and motivated team members who believe in a greater mission here at MDCalc", "summaryDescription" : "Senior Data Analyst at MDCalc. Skills: Product analytics, Data analysis, Experiment design. Analyze product and user engagement data. Develop dashboards and reporting", "createdAt" : "2026-06-13T21:28:47.131", "lastUpdated" : "2026-06-15T08:15:37.634", "ingestTimestamp" : "2026-06-13T21:28:47.131", "mongoId" : "6a2c759a74d8ee00a09379d9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Product analytics", "Business intelligence", "Data analysis", "Experiment design", "A/B testing", "Analytical thinking", "Problem-solving", "Clinical decision tools", "Healthcare", "Metabase", "Looker", "Tableau" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 1308.6714, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cc36074d8ee00a0a092fd", "title" : "Senior Data Analyst", "company" : "SurveyMonkey", "industry" : "Product", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Analyst in Bengaluru, India, adjusted for the technology industry and company size." }, "location" : "Bengaluru", "locations" : [ "Bengaluru" ], "timestamp" : "2026-06-15T03:45:26.350", "fingerprint" : "188315693b234f764ee0a952a87175d1e1da1d45a049f62465b2b75653f60441", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/surveymonkey/f7685408-1748-49af-9c0d-ed956ad05617/application", "externalId" : "f7685408-1748-49af-9c0d-ed956ad05617", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "hybrid", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Snowflake, BigQuery, AWS Redshift, Tableau, Looker, Power BI, Google Data Studio, Amplitude, Mixpanel", "professionalSkills" : [ "Data analysis", "Data reporting", "Product analytics", "Business intelligence", "Data visualization", "Statistical concepts", "Problem-solving", "Analytical skills", "Business objectives" ], "hardSkillsList" : [ "Descriptive statistics", "Inferential statistics", "Hypothesis testing", "Regression analysis", "Data manipulation", "Data extraction" ], "softSkillsList" : [ "Communication skills" ], "hardSkills" : [ { "name" : "Descriptive statistics", "level" : "intermediate" }, { "name" : "Inferential statistics", "level" : "intermediate" }, { "name" : "Hypothesis testing", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data extraction", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Communication skills" } ], "majorSkills" : "Product data analysis, A/B testing, Data visualization, Stakeholder communication", "majorSkillsList" : [ "Product data analysis", "A/B testing", "Data visualization", "Stakeholder communication" ], "coreResponsibilities" : "Conduct in-depth analysis of product data, Identify product usage, Identify feature adoption, Identify key trends, Identify patterns, Identify insights, Design A tests, Execute A tests, Analyze A tests, Measure impact of new features, Translate analytical findings, Respond to business questions, Partner with cross-functional teams, Understand data needs, Define KPIs, Provide data-driven recommendations, Design interactive dashboards, Build interactive dashboards, Maintain interactive dashboards, Visualize data, Communicate insights, Work with Data Engineering team, Work with Business Intelligence team, Ensure accurate data collection, Troubleshoot data abnormalities", "teamCollaboration" : "Product managers; Engineers; Marketing professionals; Customer success professionals; Cross-functional teams; Data Engineering team; Business Intelligence team", "projectManagementSkills" : [ "Lead data analysis projects" ], "domainKnowledge" : "Product analytics; Big data technologies", "domainList" : [ "product-analytics", "big-data-technologies" ], "domainSpecificKnowledge" : [ "Product analytics", "Big data technologies" ], "toolProficiency" : [ "Tableau", "Amplitude", "Mixpanel" ], "communicationSkills" : "Verbal communication; Written communication; Tell a story with numbers", "problemSolvingSkills" : "Analytical and problem-solving skills; Attention to detail and accuracy", "outcomesObjectives" : "Driving insightful outcomes; Actionable recommendations", "qualificationsBasic" : "5+ years of work experience, Proficiency in SQL, Degree in computer science", "qualificationsPreferred" : "Familiarity with Python data analysis, Experience in experimentation and A/B testing, Cloud platform certs", "workSiteFlexibility" : "Hybrid", "rawDescription" : "SurveyMonkey is the world’s most popular platform for surveys and forms, built for business—loved by users. We combine powerful capabilities with intuitive design, effectively serving every use case, from customer experience to employee engagement, market research to payment and registration forms. With built-in research expertise and AI-powered technology, it’s like having a team of expert researchers at your fingertips. Trusted by millions—from startups to Fortune 500 companies—SurveyMonkey helps teams gather insights and information that inspire better decisions, create experiences people love, and drive business growth. Discover how at surveymonkey.com http://surveymonkey.com. What we’re looking for As a Data Analyst at SurveyMonkey, you'll be at the forefront of transforming complex data into crystal-clear, actionable insights, directly impacting the evolution and success of the SurveyMonkey core product. You'll play a crucial part in optimizing our product and features for maximum impact, and elevating overall customer satisfaction to new heights. Collaborating closely with innovative product managers, talented engineers, dynamic marketing professionals, and dedicated customer success professionals, you'll uncover critical trends, precisely measure the success of our initiatives, and directly contribute to shaping our data-informed strategic direction. This is an exciting opportunity to make a tangible difference in how we understand and serve our customers. What you’ll be working on - Conduct in-depth analysis of product data from various sources to identify product usage, feature adoption, key trends, patterns, and insights. - Work with the Product team to design, execution, and analysis of A/B tests and other experiments to measure the impact of new features or product changes on key metrics. - Translate complex analytical findings into clear, concise, and compelling narratives for both technical and non-technical audiences. - Respond to urgent business questions with timely and accurate data analysis. - Partner with cross-functional teams (Product, Engineering, Marketing, Sales, Customer Success) to understand their data needs, define KPIs, and provide data-driven recommendations. - Design, build, and maintain interactive dashboards and reports using tools Tableau to visualize data and communicate insights effectively to stakeholders. - Work with the Data Engineering team and Business Intelligence team to ensure accurate collection of data and troubleshoot any data abnormalities. We’d love to hear from people with - 5+ years of work experience in data analysis/reporting/analytics or other relevant fields in a tech company. - Proficiency in SQL for data extraction and manipulation is a must. - Experience with large datasets and big data technologies (e.g., Snowflake, BigQuery, AWS Redshift). - Experience with data visualization tools (e.g., Tableau, Looker, Power BI, Google Data Studio etc.). - Experience with Product Analytics tools such as Amplitude, Mixpanel or equivalent. - Understanding of basic statistical concepts (e.g., descriptive and inferential statistics, hypothesis testing, regression analysis). - Proven ability to lead and own data analysis projects from end-to-end with minimal supervision, consistently driving insightful outcomes and actionable recommendations. - Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. - Excellent verbal and written communication skills, with ability to tell a story with numbers clearly and persuasively to diverse audiences not just perform a task. - Ability to understand business objectives and translate them into analytical questions and insights. - Familiarity with Python data analysis is a plus. - Experience in experimentation and A/B testing, partnering with product teams to drive data-informed decisions. - Must have a degree in computer science or related field. SurveyMonkey believes in-person collaboration is valuable for building relationships, fostering community, and enhancing our speed and execution in problem-solving and decision-making. As such, this opportunity is hybrid and requires you to work from the SurveyMonkey office in Bengaluru 3 days per week. #LI-Hybrid Why SurveyMonkey? We’re glad you asked At SurveyMonkey, curiosity powers everything we do. We’re a global company where people from all backgrounds can make an impact, build meaningful connections, and grow their careers. Our teams work in a flexible, hybrid environment with thoughtfully designed offices and programs like the CHOICE Fund https://www.surveymonkey.com/curiosity/the-c-h-o-i-c-e-fund-at-surveymonkey/ to help employees thrive in work and life. We’ve been trusted by organizations for over 25 years, and we’re just getting started. Our milestones include celebrating a quarter-century of curiosity with 25 acts of giving https://www.surveymonkey.com/curiosity/25-anniversary-acts-of-giving/, opening new hubs in Costa Rica https://www.surveymonkey.com/curiosity/bringing-global-survey-tools-together-with-pura-vida-surveymonkey-launches-in-costa-rica/ and India https://www.surveymonkey.com/newsroom/expands-global-footprint-new-bengaluru-office/, crossing the threshold of 100 billion questions answered https://www.linkedin.com/posts/surveymonkey_this-week-were-celebrating-a-monumental-activity-7320476713241436160-1njI?utm_source=share&utm_medium=member_desktop&rcm=ACoAACXxneYBWR2gGWzCKIZny7jMucfLGW7KORE, and earning recognition as one of the Most Inspiring Workplaces across North America https://www.surveymonkey.com/newsroom/surveymonkey-celebrates-inspiring-workplaces-win-in-na-2025/ and Asia https://www.surveymonkey.com/newsroom/surveymonkey-celebrates-inspiring-workplaces-win-in-asia/. We live our company values https://www.surveymonkey.com/curiosity/surveymonkey-company-values-refresh-2025/—like championing inclusion and making it happen—by embedding them into how we hire, collaborate, and grow. They help shape everything from our culture to our business decisions. Come join us and see where your curiosity can take you. Our commitment to an inclusive workplace SurveyMonkey is an equal opportunity employer committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. Accommodations are available for applicants with disabilities. Your data For more information on how SurveyMonkey (including its subsidiary and affiliated companies) processes your personal data as a job candidate or applicant, please see our Global Applicant and Candidate Data Privacy Notice https://www.surveymonkey.com/mp/legal/candidate-privacy-notice/. Please note that we may use artificial intelligence (AI) tools to support parts of the hiring process, such as sourcing candidates, reviewing applications, analyzing resumes, or summarizing interviews. These tools assist our recruitment team but do not replace human judgment.", "summaryDescription" : "Senior Data Analyst at SurveyMonkey. Skills: Product data analysis, A/B testing, Data visualization, Stakeholder communication. Conduct in-depth analysis of product data. Identify product usage", "createdAt" : "2026-06-13T21:40:17.607", "lastUpdated" : "2026-06-15T03:45:26.350", "ingestTimestamp" : "2026-06-13T21:40:17.607", "mongoId" : "6a2cc36074d8ee00a0a092fd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Descriptive statistics", "Inferential statistics", "Hypothesis testing", "Regression analysis", "Data manipulation", "Data extraction", "Communication skills", "Product data analysis", "A/B testing", "Data visualization", "Stakeholder communication", "Data analysis", "Data reporting", "Product analytics", "Business intelligence", "Statistical concepts", "Problem-solving", "Analytical skills", "Business objectives", "Lead data analysis projects", "Big data technologies", "Tableau", "Amplitude", "Mixpanel" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 1308.4293, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c5e4274d8ee00a08e2914", "title" : "Senior Data Analyst", "company" : "Bolt Technology", "industry" : "Technology", "salary" : { "min" : 52000.0, "max" : 78000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Analyst in Tallinn, Estonia, adjusted for the technology industry and company size." }, "location" : "Tallinn, Estonia", "locations" : [ "Tallinn", "Estonia" ], "timestamp" : "2026-06-15T00:37:03.581", "fingerprint" : "b0d7810a711ebf408fc733001eb64f7a017d10b3da311e1da01c9b46b5b184f1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://bolt.eu/en/careers/positions/8562281002?gh_jid=8562281002", "externalId" : "8562281002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tallinn", "country" : "Estonia", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "59.4372420,24.7572693" } ], "locationText" : "Tallinn, Estonia", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, dbt", "professionalSkills" : [ "Commercial judgement", "Advanced modelling", "Stakeholder influence", "Analytical agenda", "Commercial performance", "Marketplace dynamics", "Pricing", "Sales forecasting", "Operations", "Strategic decision-making", "Commercial models", "Analytical frameworks", "Business actions", "Metric definitions", "Self-serve analytics", "Experiment design", "Performance measurement", "Scenario planning", "Sensitivity analysis", "Prioritisation", "Business decisions" ], "hardSkillsList" : [ "Complex datasets", "Data quality issues", "Analytical logic", "Pricing models", "Forecasting models", "Commercial models", "Reporting layers", "Analytical foundations" ], "softSkillsList" : [ "Analytical thinker", "Autonomous", "Confident", "Intelligence", "Integrity" ], "hardSkills" : [ { "name" : "Complex datasets", "level" : "intermediate" }, { "name" : "Data quality issues", "level" : "intermediate" }, { "name" : "Analytical logic", "level" : "intermediate" }, { "name" : "Pricing models", "level" : "intermediate" }, { "name" : "Forecasting models", "level" : "intermediate" }, { "name" : "Commercial models", "level" : "intermediate" }, { "name" : "Reporting layers", "level" : "intermediate" }, { "name" : "Analytical foundations", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical thinker" }, { "name" : "Autonomous" }, { "name" : "Confident" }, { "name" : "Intelligence" }, { "name" : "Integrity" } ], "majorSkills" : "Analytics, Modelling, Forecasting, BI tools", "majorSkillsList" : [ "Analytics", "Modelling", "Forecasting", "BI tools" ], "coreResponsibilities" : "Lead analytics projects, Build pricing models, Build forecasting models, Build commercial models, Support business decisions, Support scenario planning, Support sensitivity analysis, Support prioritisation, Support performance forecasting, Translate commercial problems, Develop analytical frameworks, Develop recommendations, Develop business actions, Design dashboards, Improve dashboards, Scale dashboards, Design reporting layers, Improve reporting layers, Scale reporting layers, Design metric definitions, Improve metric definitions, Scale metric definitions, Design self-serve tools, Improve self-serve tools, Scale self-serve tools, Lead experiments, Co-lead experiments, Develop hypotheses, Design tests, Perform statistical analysis, Interpret results, Make recommendations, Partner with stakeholders, Influence stakeholders, Raise analytical thinking quality, Raise communication quality, Raise decision-making quality", "teamCollaboration" : "Cross-functional teams; Senior stakeholders; Commercial teams; Operations teams", "domainKnowledge" : "Merchant strategy; Marketplace dynamics; Pricing strategy; Sales forecasting; Commercial strategy", "domainList" : [ "merchant-strategy", "marketplace-dynamics", "pricing-strategy", "sales-forecasting", "commercial-strategy" ], "domainSpecificKnowledge" : [ "Merchant strategy", "Marketplace dynamics", "Pricing strategy", "Sales forecasting", "Commercial strategy" ], "toolProficiency" : [ "Looker", "dbt" ], "communicationSkills" : "Communicate insights", "problemSolvingSkills" : "Shape business problems; Structured analysis", "qualificationsBasic" : "Excellent SQL skills, Experience with statistics, Experience with A/B testing, Experience with experiment design, Experience with causal analysis, Experience with performance measurement, Modelling skills, Hands-on experience with BI tools, Hands-on experience with data visualisation tools, Experience with data modelling using dbt or similar tools", "qualificationsPreferred" : "PhD preferred, Looker proficiency preferred, Cloud platform certs preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "We are looking for a Senior Data Analyst to join Bolt Food’s Merchant Strategy & Planning team in Tallinn. In this role, you will lead high-impact analytics work across commercial performance, marketplace dynamics, pricing, sales forecasting, operations, and strategic decision-making. 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, 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 We are looking for a Senior Data Analyst to join Bolt Food’s Merchant Strategy & Planning team in Tallinn. In this role, you will lead high-impact analytics work across commercial performance, marketplace dynamics, pricing, sales forecasting, operations, and strategic decision-making. You will partner with senior stakeholders across commercial and operations teams, helping them move beyond reporting into structured, decision-ready analysis and complex commercial models. This role is ideal for someone who combines strong technical ability with commercial judgement, advanced modelling capability, stakeholder influence, and the autonomy to drive the analytical agenda proactively. Main tasks and responsibilities: Lead cross-functional analytics projects across pricing, marketplace efficiency, sales performance, account management, enterprise, operations, and commercial strategy. Build complex pricing, forecasting, and commercial models that support business decisions, scenario planning, sensitivity analysis, prioritisation, and performance forecasting. Translate ambiguous commercial problems into structured analytical frameworks, clear recommendations, and measurable business actions. Design, improve, and scale dashboards, reporting layers, metric definitions, and self-serve analytics tools for commercial and operations stakeholders. Lead or co-lead experiments, including hypothesis development, test design, statistical analysis, interpretation, and recommendation. Partner with and influence senior stakeholders by raising the quality of analytical thinking, communication, and decision-making. About you: You are a senior analytical thinker who can independently shape ambiguous business problems into structured, decision-ready analysis. You have excellent SQL skills and can work confidently with complex datasets, data quality issues, metric definitions, and analytical logic. You have strong experience with statistics, A/B testing, experiment design, causal analysis, and performance measurement. You have strong modelling skills and can build pricing, sales forecasting, scenario planning, or commercial models that are actively used by business teams to make decisions. You have hands-on experience with BI and data visualisation tools, preferably Looker, and can build dashboards that enable self-serve analytics. You have experience with data modelling using dbt or similar tools, and can help improve reporting layers, metric definitions, and analytical foundations. You are highly autonomous and confident, influencing senior stakeholders while communicating complex insights clearly to non-technical audiences. Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying! Why you’ll love it here: Accelerate your professional growth with unique career opportunities. Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you. Take care of your physical and mental health with our wellness perks. Celebrate 5 years at Bolt with a 1-month paid sabbatical to recharge. Connect with colleagues at annual company events and smaller team gatherings. Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days. *Some perks may differ depending on your location and role. #LI-Hybrid", "summaryDescription" : "Senior Data Analyst at Bolt Technology. Skills: Analytics, Modelling, Forecasting, BI tools. Lead analytics projects. Build pricing models", "postedDate" : "2026-06-12T21:43:57.562", "createdAt" : "2026-06-12T21:43:57.562", "lastUpdated" : "2026-06-15T00:37:03.581", "ingestTimestamp" : "2026-06-12T21:43:57.562", "mongoId" : "6a2c5e4274d8ee00a08e2914", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Complex datasets", "Data quality issues", "Analytical logic", "Pricing models", "Forecasting models", "Commercial models", "Reporting layers", "Analytical foundations", "Analytical thinker", "Autonomous", "Confident", "Intelligence", "Integrity", "Analytics", "Modelling", "Forecasting", "BI tools", "Commercial judgement", "Advanced modelling", "Stakeholder influence", "Analytical agenda", "Commercial performance", "Marketplace dynamics", "Pricing", "Sales forecasting", "Operations", "Strategic decision-making", "Analytical frameworks", "Business actions", "Metric definitions", "Self-serve analytics", "Experiment design", "Performance measurement", "Scenario planning", "Sensitivity analysis", "Prioritisation", "Business decisions", "Merchant strategy", "Pricing strategy", "Commercial strategy", "Looker", "dbt" ], "skillCount" : 42, "jobCategory" : "other", "jobSubcategory" : "data-analytics", "dataQualityScore" : 0.8888889, "_score" : 1259.6136, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2ab55474d8ee00a06dc8d6", "title" : "Senior Data Center Operations Analyst", "company" : "Ensono", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data Center Operations Analyst in Pune, India, adjusted for seniority and industry." }, "location" : "Pune, India", "locations" : [ "Pune", "India" ], "timestamp" : "2026-06-14T21:39:58.596", "fingerprint" : "4028ec5a5f29ff5a98dbf149272073c36723b8f6ab1495440a8d01c3b06cbaae", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://ensono.com/company/careers/jobs-board/?gh_jid=4694206005", "externalId" : "4694206005", "structuredLocations" : [ { "city" : "Pune", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Pune, India", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "domainKnowledge" : "Mainframe Operations; Sysplex environment; ITIL process", "domainList" : [ "mainframe-operations", "sysplex-environment", "itil-process" ], "domainSpecificKnowledge" : [ "Mainframe Operations", "Sysplex environment", "ITIL process" ], "communicationSkills" : "Oral communication; Written communication; Interpersonal skills; Effective communication", "documentationSkills" : "Technical writing; Documentation skills", "problemSolvingSkills" : "Problem solving; Analytical skills; Problem analysis", "specialRequirements" : "24x7 environments, Off hours scheduling", "outcomesObjectives" : "Exceed client expectations; Optimize client infrastructure", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Ensono Ensono is an expert technology adviser and managed service provider. As a relentless ally, we accelerate clients’ digital transformation to achieve business outcomes that stand to last. Our dedicated team helps organizations optimize today’s systems across any hybrid environment with services such as consulting, mainframe and application modernization, public cloud migration and cloud-native development. With certified experts in AWS, Azure and Google Cloud and recognized as Microsoft Datacenter Transformation Partner of the Year, Ensono has over 3500+ associates globally and is headquartered in greater Chicago. We care about your success, offering comprehensive strategic and managed services for mission-critical applications. Our Advisory and Consulting services can help upfront with an application strategy or find the right places for your applications – whether it’s public, multi or hybrid cloud, or mainframe. And because we span across all mission-critical platforms, we can meet you wherever you are in your digital transformation journey, with 24/7 support when you need it. We are your relentless ally, flexing with you when challenges emerge so you don’t feel stuck in place. With cross-platform certifications and decades of experience, our technology experts have become an extension of your team so you’re continuously innovating – doing more with less while remaining secure. And that’s just the beginning. Mainframe Operations – L2 Job Summary Reporting to the OPS Manager, as part of the Mainframe Operations team, you will be responsible for delivering a highly client focused support service, developing a team of Mainframe Operation, Support Level I and II Engineers to exceed client expectations both in technical resolution and customer service. Supporting Mission Critical infrastructure for Ensono’s clients, delivering a responsive and exceptional support service you’ll resolve complex technical client incidents and problems. Using your proven communication, analytical, and problem-solving skills you will help identify, communicate, and resolve issues to optimize our clients’ infrastructure. The Mainframe Operations team is responsible for maintaining and enhancing the service we deliver to our clients by effectively: Providing second level Mainframe support for system and customer batch processing System and online monitoring batch ABEND Batch monitoring, Console Operations, Production Support, Production Scheduling (off hours) and IPL Activities. Extensively worked on any of the Scheduling OPC for Production / Batch Monitoring. Strong knowledge in Console Operations and should worked in complex Sysplex environment. Able to provide 2nd Level support for System and online monitoring, batch ABEND & recovery and system restarts. Strong knowledge on MVS, VTAM, JCL, IPL, HMC Concepts, TSO, JES2, CICS, TAPE, SDSF. Able to understand the JCL structure and do necessary changes per instructions from application programmer. Sound knowledge on all ITIL process, Problem/Incident/Change. Ready to work in 24x7 environments. Soft Skills Excellent oral / written communication, interpersonal and time-management skills. Ability to work in a flexible, team-oriented and constantly changing environment. Ability to communicate effectively and consistently with all levels of the organization, and to work independently without direct supervision. Ability to support and help the senior team members in correction of production incidents. Good technical writing and documentation skills and willingness to adequately document all work performed. Strong problem solving and analytical skills with knowledge of problem analysis Ability to multi-task and work well under pressure Confidence in liaising with other personnel. Good team working skills essential Primary Location City: Pune (All 5 days WFO)", "summaryDescription" : "Senior Data Center Operations Analyst at Ensono", "postedDate" : "2026-06-11T21:20:36.875", "createdAt" : "2026-06-11T21:20:36.875", "lastUpdated" : "2026-06-14T21:39:58.596", "ingestTimestamp" : "2026-06-11T21:20:36.875", "mongoId" : "6a2ab55474d8ee00a06dc8d6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Mainframe Operations", "Sysplex environment", "ITIL process" ], "skillCount" : 3, "jobCategory" : "other", "jobSubcategory" : "e2415-mf-ubs-dedicated", "dataQualityScore" : 0.8888889, "_score" : 1253.1425, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2acaa174d8ee00a070c449", "title" : "Senior Analyst, Sales Strategy & Operations", "company" : "Salesforce", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Analyst, Sales Strategy & Operations in the UK SaaS industry, adjusted for seniority and company size." }, "location" : "United Kingdom", "locations" : [ "United Kingdom" ], "timestamp" : "2026-06-14T23:32:05.013", "fingerprint" : "e397170a6af0a2b893d38d3070e856f92dd9fcc25e4e4bf601155f9bc47f9511", "source" : "workday", "language" : "en", "applyUrl" : "https://salesforce.wd12.myworkdayjobs.com/External_Career_Site/job/United-Kingdom---London/Senior-Analyst--Sales-Strategy---Operations_JR345724", "externalId" : "JR345724", "locationPoint" : "55.3781,-3.436", "structuredLocations" : [ { "country" : "United Kingdom", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Tableau, AI tools, Claude, Codex", "professionalSkills" : [ "Sales strategy", "Business operations", "Data analytics", "Business intelligence", "Sales capacity management", "Go-To-Market strategy", "Market segmentation", "Business metrics design", "Business performance review", "Organizational change" ], "hardSkillsList" : [ "Data Literacy", "Data analysis", "Data interpretation", "Business acumen", "Sales metrics" ], "softSkillsList" : [ "Critical Thinking", "Problem Solving", "Curiosity", "Business Exploration", "Results Orientation" ], "hardSkills" : [ { "name" : "Data Literacy", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Business acumen", "level" : "intermediate" }, { "name" : "Sales metrics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical Thinking" }, { "name" : "Problem Solving" }, { "name" : "Curiosity" }, { "name" : "Business Exploration" }, { "name" : "Results Orientation" } ], "majorSkills" : "Sales Strategy, Operations, Data Analytics", "majorSkillsList" : [ "Sales Strategy", "Operations", "Data Analytics" ], "coreResponsibilities" : "Act as expert on data and analytics, Provide strategic recommendations, Provide insights through storytelling, Influence key stakeholders, Design executive-level dashboards, Build executive-level dashboards, Design self-serve reporting tools, Build self-serve reporting tools, Track KPIs, Define key performance metrics, Define key performance targets, Build reports, Build dashboards, Derive insights into business health, Identify areas of weakness, Present improvement recommendations, Enable operational rhythms, Automate operational rhythms, Deliver high-quality insights, Deliver high-quality visuals, Perform ad-hoc analyses, Create executive-level presentations, Collaborate across functions, Align on goals, Inform key decisions, Standardize definitions, Standardize metrics, Standardize reporting frameworks, Assist in troubleshooting operational issues, Propose changes to systems, Propose changes to processes, Fix root causes", "teamCollaboration" : "Cross-functional teams; Finance; Employee success; Marketing; Operations; Sales programs; Product", "domainKnowledge" : "Sales data; Sales metrics; Go-To-Market strategy; Market segmentation; Capacity planning; Business metrics; Business performance", "domainList" : [ "sales-data", "sales-metrics", "go-to-market-strategy", "market-segmentation", "capacity-planning", "business-metrics", "business-performance" ], "domainSpecificKnowledge" : [ "Sales data", "Sales metrics", "Go-To-Market strategy", "Market segmentation", "Capacity planning", "Business metrics", "Business performance" ], "toolProficiency" : [ "SQL", "Tableau", "AI tools" ], "communicationSkills" : "Data storytelling; Executive presentations", "problemSolvingSkills" : "Problem Solving; Troubleshooting operational issues; Root cause analysis", "qualificationsBasic" : "3+ years professional experience, 5+ years professional experience, Demonstrated experience in data analytics, Demonstrated experience in business intelligence, Intermediate level of SQL, Intermediate level of Tableau", "qualificationsPreferred" : "Manager level for the right candidate, Openness to other EMEA locations", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "_To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts._ Job Category Operations Job Details ****About Salesforce**** Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. _This role is posted at the Senior Analyst level, and open to the Manager level for the right candidate._ _This role is posted in the UK, with openness to other EMEA locations such as Dublin or Madrid._ **Job Description** Do you enjoy a blend of strategy and operational execution? The Global CRO Business Operations team partners directly with the global sales leadership as a trusted advisor, focused on strategic planning and projects, sales optimization, sales capacity management, and business operational support. In this senior role, you will act as the go-to expert on data and analytics, providing strategic recommendations and insights through compelling, data-driven storytelling to influence key stakeholders. You will collaborate with many cross-functional teams such as finance, employee success, marketing, operations, and others. This is a high-impact role, with constantly evolving priorities and demands. You will think strategically, arrive at a focused execution plan, and lead the plan to fruition, while helping set direction, standardize how the team works, and support more junior analysts. Example projects range from the very strategic to the very operational business rhythm and focus on many areas, such as Go-To-Market strategy, market segmentation, capacity planning, business metrics design and maintenance, tooling development, and business performance review. Successful candidates will use data to drive insights, provide strategic recommendations, build scalable assets, and guide the charge on execution and organizational change. You will combine intuition for business, innovative inquiry, insights from sales leaders, and curiosity to accomplish meaningful work that uncovers trends and identifies insights delivering impact across the organization. **What You 'll Do** * Act as the go-to expert on data and analytics, providing strategic recommendations and insights through compelling, data-driven storytelling to influence key stakeholders. * Design and build executive-level dashboards and self-serve reporting tools to track KPIs. * Define key performance metrics and targets, build reports and dashboards to derive insights into the health of the business, identify areas of weakness, and present improvement recommendations to sales leadership. * Enable and automate operational rhythms such as quarterly and monthly business reviews and annual planning by delivering high-quality insights and visuals. * Perform ad-hoc analyses across multiple data sets and tools (examples include customer segmentation, sales participation, propensity to buy, market deep dives, white space, etc.). * Create executive-level presentations for both local and global leadership reviews. * Collaborate across functions, including finance, sales programs, operations, and product, to align on goals and inform key decisions. * Partner with teams to standardize definitions, metrics, and reporting frameworks for consistency across the org. * Assist in troubleshooting operational issues as they surface; propose changes to systems and processes to fix root causes. **Core Competencies** * **Data Literacy & Attention to Detail:** read, understand, create, and communicate data as information with attention to detail; identify, gather, formulate, analyze, and derive insight from diverse data sets, and communicate findings through a targeted information-sharing process. * **Critical Thinking & Problem Solving:** objectively and systematically analyze information, ideas, or situations to form well-reasoned judgments, using logical reasoning, evidence-based analysis, and sound judgment to evaluate complex problems and draw meaningful conclusions. * **Curiosity & Business Exploration:** go beyond executing analysis to actively understand the business behind the data; ask \"why\" and \"what if,\" probe ambiguous or undefined problem spaces, and proactively explore trends, anomalies, and white space others overlook. Bring a learning mindset and the drive to develop deep business context, turning unclear questions into structured opportunities for insight. * **Results Orientation:** project confidence while expressing your thoughts and ideas with clarity, sincerity, and conviction; communicate a compelling business vision that engages and influences others. * **Knowledge Management:** develop and facilitate practices that enable employees to create, use, and share information efficiently and effectively. * **Stakeholder & Executive Presence:** strong stakeholder and cross-functional collaboration skills; ability to influence without authority. **What We 're Looking For** * 3+ years (Senior Analyst) or 5+ years (Manager) of professional experience in consulting, sales strategy/business operations, or a highly analytical role, with demonstrated experience in data analytics / business intelligence. * Strong business acumen with a passion for data and analytics, including in-depth knowledge of sales-related datasets / metrics. * Familiarity with Salesforce CRM; intermediate level of SQL, Tableau, and AI tools (Claude, Codex, etc.), with interest to advance. * Experience in quantitative analysis and financial modeling. * Proven ability to work cross-functionally and influence without authority. * Detail-oriented with the ability to zoom out and think strategically. * A \"get-it-done\" attitude with the curiosity to explore and improve. * Excellent communication skills and experience presenting to executives. **Preferred Qualifications** * Advanced Excel/Gsheet, with rich experience in SQL (Snowflake), Tableau, and AI tools (Claude, Codex, etc.). * Outstanding problem-solving skills: a consistent track record of asking questions, structuring sophisticated problems, and developing solutions and recommendations. * Strong presentation skills, especially building compelling PowerPoint / Google Slides presentations. * Resilient self-starter with a high degree of motivation to go above and beyond, and the ability to handle ambiguity. * Highly collaborative style with strong networking skills across business functions. * Flexibility and ability to adjust on the fly to new demands; a sense of urgency. Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and _be your best_ , and our AI agents accelerate your impact so you can _do your best_. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this [_Accommodations Request Form_](https://careers.mail.salesforce.com/accommodations-request-form?_ga=2.139086459.912759425.1690463420-976932181.1684251251). Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our [_Candidate Privacy Statement_](https://www.salesforce.com/en-us/wp-content/uploads/sites/4/documents/legal/Privacy/salesforce-candidate-privacy-statement-december-2024.pdf) for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. [Know your rights: workplace discrimination is illegal.](https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal) Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. ### ### ### ### ### ### ### ###", "summaryDescription" : "Senior Analyst, Sales Strategy & Operations at Salesforce. Skills: Sales Strategy, Operations, Data Analytics. Act as expert on data and analytics. Provide strategic recommendations", "postedDate" : "2026-06-12T03:58:01.064", "createdAt" : "2026-06-12T03:58:01.047", "lastUpdated" : "2026-06-14T23:32:05.013", "ingestTimestamp" : "2026-06-12T03:58:01.047", "mongoId" : "6a2acaa174d8ee00a070c449", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://salesforce.wd12.myworkdayjobs.com/External_Career_Site/job/United-Kingdom---London/Senior-Analyst--Sales-Strategy---Operations_JR345724", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data Literacy", "Data analysis", "Data interpretation", "Business acumen", "Sales metrics", "Critical Thinking", "Problem Solving", "Curiosity", "Business Exploration", "Results Orientation", "Sales Strategy", "Operations", "Data Analytics", "Sales strategy", "Business operations", "Data analytics", "Business intelligence", "Sales capacity management", "Go-To-Market strategy", "Market segmentation", "Business metrics design", "Business performance review", "Organizational change", "Sales data", "Capacity planning", "Business metrics", "Business performance", "SQL", "Tableau", "AI tools" ], "skillCount" : 30, "jobCategory" : "engineering", "seniorityLevel" : "senior", "dataQualityScore" : 1.0, "_score" : 1250.8857, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2c6d0874d8ee00a091cd4c", "title" : "Data Analyst, Clinical Operations", "company" : "Tuesday Health", "industry" : "Healthcare", "salary" : { "min" : 1000000.0, "max" : 1500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Data Analyst in the Healthcare industry, adjusted for a remote role in India." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-15T08:48:12.884", "fingerprint" : "d838cef797cccd351708a1d47828697ad888b7f36c51b3f741937f74ef45bd74", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tuesdayhealth/jobs/4272764009", "externalId" : "4272764009", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 4, "technicalSkills" : "SQL, Python, Dbt", "professionalSkills" : [ "Clinical operations analytics", "Data modeling", "Data quality monitoring" ], "hardSkillsList" : [ "Data analysis", "Data transformation", "Data quality" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" } ], "majorSkills" : "SQL, BI tools, Healthcare analytics", "majorSkillsList" : [ "SQL", "BI tools", "Healthcare analytics" ], "coreResponsibilities" : "Collaborate with operational stakeholders, Clarify analytic needs, Define requirements, Build clear analyses, Build visuals, Build dashboards, Prepare customer-facing summaries, Support JOC materials, Track progress toward SLAs, Assist with data model development, Create well-documented transformations, Monitor data quality for dashboards, Monitor data quality for reports, Flag anomalies, Locate root causes, Coordinate with cross-functional teams", "teamCollaboration" : "Operational stakeholders; Cross-functional teams", "domainKnowledge" : "Healthcare; Claims data; ADT/HIE data; FHIR data; Elevate data", "domainList" : [ "healthcare", "claims-data", "adt-hie-data", "fhir-data", "elevate-data" ], "domainSpecificKnowledge" : [ "Healthcare", "Claims data", "ADT/HIE data", "FHIR data", "Elevate data" ], "toolProficiency" : [ "ThoughtSpot", "Tableau", "Looker", "PowerBI", "Databricks", "Snowflake", "Git" ], "communicationSkills" : "Tell clear stories; Simplify complex ideas", "documentationSkills" : "Well-documented transformations", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "Multiple onsite sessions", "qualificationsBasic" : "Proficiency with SQL, 2-4 years in healthcare analytics, Experience building dashboards, Experience building recurring reporting", "qualificationsPreferred" : "Experience analyzing data in Python, Experience transforming data in Python, Familiarity with dbt, Familiarity with analytics engineering best practices, Experience with Databricks, Experience with Snowflake, Experience with similar cloud data platforms, Experience with healthcare datasets, Experience with git for version control", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Who We Are Tuesday Health is a value-based palliative care provider group dedicated to transforming serious illness and end-of-life care. We deliver goal-centered care focused on alleviating physical symptoms and emotional stress for individuals and their caregivers. Our interdisciplinary care teams reduce avoidable hospitalizations and improve quality of life wherever individuals call home. Through our leading-edge care model, Tuesday Health is shaping the future of community-based palliative care nationwide. The Role The Data Analyst supports the Clinical Operations Analytics team by producing clear analyses, dashboards, and reports that guide clinical and operational decisions. The role uses SQL and BI tools to explore datasets across claims, ADT/HIE, FHIR, Elevate, and other business systems, and derives insights for internal leaders and customer-facing reviews. The analyst also helps maintain accurate data models and monitors data quality across core reporting assets. Key responsibilities of this role may include: Collaborate with operational stakeholders (Product, Engineering, Clinical, and Engagement) to clarify analytic needs and define requirements. Build clear analyses, visuals, and dashboards using datasets such as claims, pharmacy, FHIR, Elevate, and other internal tools. Prepare customer-facing summaries that show Tuesday Health impact, support JOC materials, and track progress toward SLAs. Assist with data model development by creating well-documented transformations and partner with Analytics Engineering to ensure models stay accurate and aligned with reporting needs. Monitor data quality for dashboards and reports. Flag anomalies, locate root causes, and coordinate with cross-functional teams to reduce downstream reporting issues. A strong candidate will demonstrate the following: Care about improving healthcare and Tuesday’s mission. Tell clear stories with data and simplify complex ideas for non-technical audiences. Show comfort in a fast-moving, fluid environment. Enjoy creating clean, thoughtful visuals and slides. Approach work with curiosity and willingness to dig. Maintain a high bar for accuracy and quality. Skills and Experience Required: Proficiency with SQL Proficiency with one or more BI tools (ThoughtSpot, Tableau, Looker, PowerBI, etc.) 2-4 years in healthcare analytics or a related data role Experience building dashboards or recurring reporting that supports operations Nice-To-Have: Experience analyzing and transforming data in Python Familiarity with dbt and analytics engineering best practices Experience with Databricks, Snowflake, or similar cloud data platforms Experience with healthcare datasets (e. g. claims, ADT/HIE) Experience with git for version control What We Offer Competitive compensation, reflecting our commitment to attracting, retaining, and motivating the best talent in the industry Comprehensive benefits including medical, dental, vision, and life insurance, paid time off and holidays, employer 401(K) match, etc. Remote work with multiple onsite sessions each year to maximize collaboration and team building A dynamic and inclusive team environment where you can lean on your teammates, offer candid feedback, bring your true self to work each day, and deliver tremendous impact while having fun along the way Meaningful work each day; we care deeply about our mission, our patients, and each other If you are passionate about improving the quality of care for seriously ill individuals and their caregivers through innovative solutions, we would love to hear from you. Tuesday Health seeks to recruit and retain staff from diverse backgrounds and encourages qualified candidates to apply. Tuesday Health is an equal opportunity employer and does not discriminate on the basis of age, sex, gender identity/expression, sexual orientation, color, race, creed, national origin, ancestry, religion, marital status, political belief, physical or mental disability, pregnancy, military, or veteran status.", "summaryDescription" : "Data Analyst, Clinical Operations at Tuesday Health. Skills: SQL, BI tools, Healthcare analytics. Collaborate with operational stakeholders. Clarify analytic needs", "postedDate" : "2026-06-14T02:04:05.707", "createdAt" : "2026-06-14T02:04:05.707", "lastUpdated" : "2026-06-15T08:48:12.884", "ingestTimestamp" : "2026-06-14T02:04:05.707", "mongoId" : "6a2c6d0874d8ee00a091cd4c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data transformation", "Data quality", "SQL", "BI tools", "Healthcare analytics", "Clinical operations analytics", "Data modeling", "Data quality monitoring", "Healthcare", "Claims data", "ADT/HIE data", "FHIR data", "Elevate data", "ThoughtSpot", "Tableau", "Looker", "PowerBI", "Databricks", "Snowflake", "Git" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 1229.6149, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ab17574d8ee00a06d058d", "title" : "Senior Data Analyst", "company" : "Intel", "industry" : "Intelligence", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Analyst in London, UK, adjusted for the FinTech industry and Intel's company size." }, "location" : "London, United Kingdom", "locations" : [ "London, United Kingdom" ], "timestamp" : "2026-06-14T19:22:25.084", "fingerprint" : "dd255612071489c13dbecc84bd54beff235a9537af5a8eb841484878b640fa81", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/elliptic/c868772b-6366-4a2b-a21c-a9490f2dc500/application", "externalId" : "c868772b-6366-4a2b-a21c-a9490f2dc500", "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", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, PySpark, Databricks", "professionalSkills" : [ "Mixed-method research", "Data storytelling", "Cryptocurrency analysis" ], "hardSkillsList" : [ "Quantitative analysis", "Reproducible analysis", "Data visualization", "Narrative crafting", "Methodological rigour", "Data quality", "Documentation", "Reproducibility", "Blockchain ecosystem analysis" ], "softSkillsList" : [ "Curiosity", "Skepticism", "Clarity", "Confidence", "Rigour" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Reproducible analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Narrative crafting", "level" : "intermediate" }, { "name" : "Methodological rigour", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Documentation", "level" : "intermediate" }, { "name" : "Reproducibility", "level" : "intermediate" }, { "name" : "Blockchain ecosystem analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curiosity" }, { "name" : "Skepticism" }, { "name" : "Clarity" }, { "name" : "Confidence" }, { "name" : "Rigour" } ], "majorSkills" : "Data analysis, Data visualization, Narrative crafting, Cryptocurrency", "majorSkillsList" : [ "Data analysis", "Data visualization", "Narrative crafting", "Cryptocurrency" ], "coreResponsibilities" : "Lead mixed-method research, Design visuals and narratives, Build analysis assets and tools, Validate findings, Ensure methodological rigour, Support Product with evidence, Provide Marketing and Revenue with analyses, Maintain data quality standards, Maintain documentation standards, Maintain reproducibility standards, Create notebooks, Create datasets, Create dashboards", "teamCollaboration" : "Data teams; Marketing teams; Revenue teams; Product teams; Intelligence organisation", "domainKnowledge" : "Digital assets; Cryptocurrencies; DeFi; Exchanges; Wallets; Smart Contracts; Mixers; Privacy services; Blockchain ecosystem", "domainList" : [ "digital-assets", "cryptocurrencies", "defi", "exchanges", "wallets", "smart-contracts", "mixers", "privacy-services", "blockchain-ecosystem" ], "domainSpecificKnowledge" : [ "Digital assets", "Cryptocurrencies", "DeFi", "Exchanges", "Wallets", "Smart Contracts", "Mixers", "Privacy services", "Blockchain ecosystem" ], "toolProficiency" : [ "SQL", "Python" ], "communicationSkills" : "Clear narratives; Clear visuals; Concise analyses; Public speaking", "documentationSkills" : "Documentation; Reproducibility", "continuousLearning" : "Learning budget", "problemSolvingSkills" : "Investigate patterns; Solve problems; Ambiguous questions to structured plans", "outcomesObjectives" : "Turn datasets into decisions; Turn datasets into stories; Turn datasets into outcomes", "qualificationsBasic" : "STEM degree, SQL proficiency, Python proficiency, end-to-end data projects experience, qualitative research experience, quantitative research experience, ambiguous questions to structured plans experience, decision-ready outputs experience", "qualificationsPreferred" : "Databricks experience, PySpark experience, academic background, data pipelines building experience, data pipelines maintenance experience, capture data requirements experience, build ad-hoc systems experience, public-facing experience, applied data science experience, advanced data exploitation experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Do you want to be part of the future of value transfer? Are you excited about solving problems that have never been solved before? Are you looking for a values-led company, which cares about the growth of its employees? The impact you will have: Join Intel to turn Elliptic’s datasets into decisions, stories, and measurable outcomes. You’ll investigate complex patterns in digital assets, build reproducible analyses, and craft clear narratives and visuals that inform Product and Marketing, enable Sales and Policy conversations, and raise Elliptic’s voice in the market. You own the journey from raw data to a crisp story. What you will do: - Lead mixed‑method research on crypto ecosystems and behaviours, combining quantitative analysis with strong domain context. - Design clear, accurate visuals and written narratives for reports, blogs, briefings, talks, and customer materials. - Build analysis assets and tools that Marketing and Communications can use across campaigns and channels. - Be a key part of our Intelligence organisation to validate findings and ensure methodological rigour and relevance. - Support Product with evidence on problems, opportunities, and outcome metrics grounded in Intel data. - Provide Marketing and Revenue with concise analyses and visuals that clarify trends, value, and risk for prospects and customers. - Maintain the highest standards for data quality, documentation, and reproducibility. - Create notebooks, datasets, and dashboards that make recurring analyses faster and easier to reuse. You will be a great fit here if you: - Are highly curious and sceptical - Explain complex work with clarity and confidence, adapting depth to the audience - Care about visual clarity as much as analytical correctness - Are rigorous, curious, and sceptical — you pursue evidence to ground truth - Enjoy collaborating across Data, Marketing, Revenue and Product - Are very interested in Cryptocurrencies. - Are fluent in AI and agentic workflows Our ideal candidate: - Has a STEM degree. - Has experience handling end-to-end data projects, from data extraction to creating narratives passing by creating compelling dashboards - Is comfortable querying data with SQL and Python - Experience conducting qualitative and quantitative research in a complex domain, ideally digital assets or adjacent fields - Comfort moving from ambiguous questions to structured plans and decision‑ready outputs - Has a solid understanding of blockchain ecosystem elements like DeFi, Exchanges, Wallets, Smart Contracts, mixers and privacy services. Bonus Experience: - Databricks and PySpark - Strong academic background - Building and maintaining data pipelines - Capture data requirements and build ad-hoc systems - Public‑facing experience: bylined reports, webinars, conference speaking, or media commentary - Applied and advanced professional experience using data science and data exploitation techniques to analyse crime in cryptocurrency JOB BENEFITS > How we work: - Hybrid working and the option to work from almost anywhere for up to 90 days per year - £500 Remote working budget to set up your home office space > Learning & Development: - $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development > Vacation/ Leave: - Holidays: 25 days of annual leave + bank holidays - An extra day for your birthday - Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully-paid leave and leave. > Benefits: - Private Health Insurance - we use Vitality! - Full access to Spill Mental Health Support - Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries - Cycle to Work Scheme", "summaryDescription" : "Senior Data Analyst at Intel. Skills: Data analysis, Data visualization, Narrative crafting, Cryptocurrency. Lead mixed-method research. Design visuals and narratives", "postedDate" : "2026-06-11T22:23:03.264", "createdAt" : "2026-06-11T22:23:03.264", "lastUpdated" : "2026-06-14T19:22:25.084", "ingestTimestamp" : "2026-06-11T22:23:03.264", "mongoId" : "6a2ab17574d8ee00a06d058d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Quantitative analysis", "Reproducible analysis", "Data visualization", "Narrative crafting", "Methodological rigour", "Data quality", "Documentation", "Reproducibility", "Blockchain ecosystem analysis", "Curiosity", "Skepticism", "Clarity", "Confidence", "Rigour", "Data analysis", "Cryptocurrency", "Mixed-method research", "Data storytelling", "Cryptocurrency analysis", "Digital assets", "Cryptocurrencies", "DeFi", "Exchanges", "Wallets", "Smart Contracts", "Mixers", "Privacy services", "Blockchain ecosystem", "SQL", "Python" ], "skillCount" : 30, "jobCategory" : "other", "jobSubcategory" : "intelligence-collection", "dataQualityScore" : 1.0, "_score" : 1227.7136, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c85ff74d8ee00a0966634", "title" : "Data Governance Lead", "company" : "Adaptfy", "industry" : "Data & Analytics", "salary" : { "min" : 60000.0, "max" : 85000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Governance Lead in Porto, Portugal, adjusted for the technology industry and company size." }, "location" : "Porto, Porto, Portugal", "locations" : [ "Porto, Porto, Portugal" ], "certifications" : [ "DAMA CDMP", "CIPP" ], "timestamp" : "2026-06-15T07:00:50.858", "fingerprint" : "4c1aefcec5a2a02b1ede2cf245dde3731712d8874716fff6105350b41829fbb4", "source" : "recruitee", "language" : "en", "applyUrl" : "https://metyisag.recruitee.com/o/data-governance-lead-1/c/new", "externalId" : "2637258", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Porto", "state" : "Porto", "country" : "Portugal", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "41.1502195,-8.6103497" } ], "locationText" : "Porto, Porto, Portugal", "employmentType" : "FULL_TIME", "minimumEducation" : "master's degree", "experienceMinYears" : 7, "experienceLevel" : "experienced", "technicalSkills" : "SQL", "professionalSkills" : [ "Change management", "Risk identification", "Risk mitigation", "Negotiation", "Project management" ], "hardSkillsList" : [ "Data governance", "Data management", "Data privacy", "Data protection", "Data quality audits", "Maturity assessments", "Gap analyses" ], "softSkillsList" : [ "EQ" ], "hardSkills" : [ { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" }, { "name" : "Data privacy", "level" : "intermediate" }, { "name" : "Data protection", "level" : "intermediate" }, { "name" : "Data quality audits", "level" : "intermediate" }, { "name" : "Maturity assessments", "level" : "intermediate" }, { "name" : "Gap analyses", "level" : "intermediate" } ], "softSkills" : [ { "name" : "EQ" } ], "majorSkills" : "Data governance, Data management, Regulatory compliance", "majorSkillsList" : [ "Data governance", "Data management", "Regulatory compliance" ], "coreResponsibilities" : "Develop data governance processes, Embed data governance frameworks, Consult with subsidiaries, Establish governance initiatives, Mature governance initiatives, Align governance initiatives, Interpret data privacy regulations, Operationalize data protection regulations, Ensure compliance, Mitigate risks, Build relationships, Promote shared governance vision, Conduct governance maturity assessments, Conduct gap analyses, Create roadmaps, Develop policies, Update policies, Promote policies, Facilitate Data Governance Councils, Facilitate working groups, Oversee data quality audits, Provide remediation recommendations, Lead workshops, Lead training sessions, Lead stakeholder engagement programs", "teamCollaboration" : "Cross-business initiatives; Collaborative working groups; Stakeholder engagement", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Data privacy regulations; Data protection regulations; GDPR; CCPA; HIPAA; Metadata management; Master data management", "domainList" : [ "data-privacy-regulations", "data-protection-regulations", "gdpr", "ccpa", "hipaa", "metadata-management", "master-data-management" ], "domainSpecificKnowledge" : [ "Data privacy regulations", "Data protection regulations", "GDPR", "CCPA", "HIPAA", "Metadata management", "Master data management" ], "toolProficiency" : [ "Collibra", "Informatica", "Alation", "IBM InfoSphere" ], "communicationSkills" : "Translate complex concepts", "continuousLearning" : "Lifelong learning; Professional growth; Continuous learning", "problemSolvingSkills" : "Analytical; Strategic focus", "specialRequirements" : "Weekly travel", "qualificationsBasic" : "Bachelor's degree in CS, 7 years experience in data governance, 3+ years senior/consulting experience, SQL proficiency, Data management experience", "qualificationsPreferred" : "PhD preferred, DAMA CDMP certification, CIPP certification, Data modeling expertise, Architecture expertise, Metadata management expertise, Master data management expertise, Experience with Collibra, Experience with Informatica, Experience with Alation, Experience with IBM InfoSphere, Knowledge of GDPR, Knowledge of CCPA, Knowledge of HIPAA, Proficiency with SQL, Proficiency with data integration platforms, Proficiency with BI tools, Proficiency with reporting tools", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Adaptfy is growing! At Adaptfy, we are looking for a Data Governance Lead with 5-8 years of experience, to join our Data and Analytics team at our Digital Campus in Porto. ## Requirements ## Who we are Adaptfy is a turnkey data & analytics solution for the SHV family of companies. We support multiple SHV Groups with advanced Data & Analytics in all areas, elevating their operations in diverse industries across international markets and throughout entire value chains. Adaptfy is a joint venture formed by SHV and Metyis. Metyis embodies visionary thinking in the digital world, while SHV is a globally established family of companies built on the values of integrity, trust, curiosity, passion, and inclusivity. SHV has a presence across four continents, with businesses spanning energy, heavy lifting and transport, animal nutrition & aquaculture, testing, inspection & certification, and more. The organisation’s history reflects its courage to care—for people, for performance, and for future generations. Their success is a testament to constant reinvention through innovation. At Adaptfy, we play a pivotal role in bringing SHV’s digital vision to life. From optimising supply chains across Europe to enhancing operational efficiency in South America, we connect the dots for SHV, shaping a data-driven future for the entire family of companies. ## What we offer * Collaborative and inclusive work environment at Adaptfy, the central data, AI, and analytics business unit within SHV Holdings. * Exposure to diverse businesses and leadership teams across the SHV group, acting as a bridge between entities. * Possibility of hybrid, with weekly travel to SHV companies. * A culture that values diversity, equity, and inclusion, high ethical standards, confidentiality, and regulatory compliance. * Engagement with industry trends, new technologies, and evolving data governance practices, fostering lifelong learning and professional growth. ## What you will do * Develop and embed best-in-class data governance processes, frameworks, and expertise within Adaptfy, creating the foundation for SHV Holdings’ businesses. * Consult and collaborate with SHV Holdings’ subsidiaries to help them establish, mature, and align their governance initiatives with Adaptfy’s methodologies. * Interpret and operationalize data privacy and protection regulations (GDPR, CCPA, HIPAA, etc.) to ensure compliance and mitigate risks. * Act as a bridge to build strong relationships and promote a shared governance vision across Adaptfy and SHV Holdings. * Conduct governance maturity assessments and gap analyses, creating tailored roadmaps for SHV businesses. * Develop, update, and promote group-wide policies and standards. * Facilitate Data Governance Councils and collaborative working groups. * Oversee data quality audits and provide remediation recommendations. * Lead workshops, training sessions, and stakeholder engagement programs. ## What you will bring * Bachelor’s or master’s degree in CS, Information Management, Data Science, Business Administration, or related field. * Outstanding communication skills; ability to translate complex concepts for all audiences. * Collaborative and inclusive working style. * Adaptability to new technologies and evolving practices. * Personal attributes: passion for governance excellence, curiosity about new trends, high EQ, resilience, dedication to continuous learning. * Proven ability to influence stakeholders and lead cross-business initiatives. * Advanced analytical, organizational, and strategic thinking; focus on risk identification and mitigation. * Minimum of 7 years’ experience in data governance/data management, incl. 3+ years senior/consulting in group/multi-entity orgs. * Experience leading change management, training, and engagement across multiple businesses. * Visionary approach to building sustainable governance practices. * Influence, negotiation, and project management skills to unify Adaptfy and SHV businesses. Nice to have: * Professional certifications such as DAMA CDMP, CIPP, or equivalent (highly valued). * Expertise in data modeling, architecture, metadata management, and master data management within complex organizations. * Hands-on experience with leading governance and quality tools (Collibra, Informatica, Alation, IBM InfoSphere). * Strong knowledge of regulatory frameworks (GDPR, CCPA, HIPAA, etc.). * Proficiency with SQL, data integration platforms, and BI/reporting tools (a plus). ## At Adaptfy, we are driven by curiosity and collaboration. We value diversity, equity, inclusion, and belonging (DEIB) in all its forms as it makes us stronger as an organisation and promotes creativity and innovation. We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow.", "summaryDescription" : "Data Governance Lead at Adaptfy. Skills: Data governance, Data management, Regulatory compliance. Develop data governance processes. Embed data governance frameworks", "postedDate" : "2026-06-11T13:57:48.000", "createdAt" : "2026-06-14T01:07:35.377", "lastUpdated" : "2026-06-15T07:00:50.858", "ingestTimestamp" : "2026-06-14T01:07:35.377", "mongoId" : "6a2c85ff74d8ee00a0966634", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data governance", "Data management", "Data privacy", "Data protection", "Data quality audits", "Maturity assessments", "Gap analyses", "EQ", "Regulatory compliance", "Change management", "Risk identification", "Risk mitigation", "Negotiation", "Project management", "Data privacy regulations", "Data protection regulations", "GDPR", "CCPA", "HIPAA", "Metadata management", "Master data management", "DAMA CDMP", "CIPP", "Collibra", "Informatica", "Alation", "IBM InfoSphere" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1217.3418, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a485474d8ee00a05dee79", "title" : "Senior Data Analyst", "company" : "Clarity Innovations", "industry" : "National Security", "salary" : { "min" : 115500.0, "max" : 155500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Analyst in Hurlburt Field, United States, adjusted for government industry and seniority." }, "location" : "Hurlburt Field, Florida, United States", "locations" : [ "Hurlburt Field", "Florida", "United States" ], "timestamp" : "2026-06-14T22:10:36.691", "fingerprint" : "3174974b2f108ad12033ef93d773e054e0f3d3d5f02853454d68452596c69f0f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/clarityinnovates/jobs/5158440007", "externalId" : "5158440007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hurlburt Field", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.4312921,-86.6902291" } ], "locationText" : "Hurlburt Field, Florida, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 1, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "R, Python, C++, JavaScript, Go", "professionalSkills" : [ "Data management", "Data quality management", "Metadata management", "Data lineage", "Business definitions" ], "hardSkillsList" : [ "Data collection", "Data analysis", "Data reporting", "Algorithm design", "Data manipulation", "Quantitative data" ], "hardSkills" : [ { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data reporting", "level" : "intermediate" }, { "name" : "Algorithm design", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Quantitative data", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Data engineering, Reporting", "majorSkillsList" : [ "Data analysis", "Data engineering", "Reporting" ], "coreResponsibilities" : "Query data, Engineer data, Analyze data, Identify new data sources, Improve data collection, Improve data analysis, Improve data reporting, Collect customer requirements, Determine technical issues, Design algorithms, Design data manipulation capabilities, Build data solutions, Build data tools, Build data capabilities, Enable self-service frameworks, Improve data use quality, Improve data usability, Drive understanding of data quality principles, Drive adherence to data quality principles, Produce qualitative data, Produce quantitative data", "teamCollaboration" : "Work with stakeholders; Work with colleagues; Work with other data coworkers", "domainKnowledge" : "National security; Information warfare; Cyber operations; Operational security; Data structuring; Intelligence Community; Department of Defense; AFSOC mission", "domainList" : [ "national-security", "information-warfare", "cyber-operations", "operational-security", "data-structuring", "intelligence-community", "department-of-defense", "afsoc-mission" ], "domainSpecificKnowledge" : [ "National security", "Information warfare", "Cyber operations", "Operational security", "Data structuring", "Intelligence Community", "Department of Defense", "AFSOC mission" ], "toolProficiency" : [ "PowerBI", "Advana", "Envision" ], "problemSolvingSkills" : "Identify solutions; Determine technical issues", "specialRequirements" : "Interim Secret clearance", "outcomesObjectives" : "Improve command's ability to make data driven decisions", "qualificationsBasic" : "1-year experience required, Bachelor's degree in computer science or equivalent, Experience providing services similar in required tasks, scope, and complexity, Interim Secret clearance within 30 days of hire", "qualificationsPreferred" : "Top Secret clearance eligible for SCI", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Clarity Innovations is a trusted national security partner, dedicated to safeguarding our nation’s interests and delivering innovative solutions that empower the Intelligence Community (IC) and Department of Defense (DoD) to transform data into actionable intelligence, ensuring mission success in an evolving world. Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data Structuring, enabling end-to-end solutions that drive operational impact. We are committed to delivering cutting-edge tools and capabilities that address the most complex national security challenges, empowering our partners to stay ahead of emerging threats and ensuring the success of their critical missions. At Clarity, we are people-focused and set on being a destination employer for top talent, offering an environment where innovation thrives, careers grow, and individuals are valued. Join us as we continue to lead innovation and tackle the most pressing challenges in national security. Role The Senior Data Analyst in this role will be at the core of support for AFSOC data initiatives. The senior data analyst will work closely with stakeholders and colleagues to gather requirements and identify solutions for a variety of data related projects. The work in this role has a direct impact on the AFSOC mission as it improves the command's ability to make data driven decisions. Responsibilities Senior Data Analysts are responsible for querying, engineering, and analyzing data in accordance with data management policies to support mission and business functions and tasks. Senior Data Analysts will perform the following duties: • Identify new sources of data and methods to improve data collection, analysis, and reporting • Collect customer requirements • Determine technical issues • Design algorithms and data manipulation capabilities using R, Python, C++, JavaScript, Go, and other known programming languages • Build data solutions, tools, and capabilities to enable self-service frameworks for data consumers to monitor and report on data • Improve the quality of data use and usability by driving an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions • Work collaboratively with other data coworkers to produce qualitative and quantitative data that support SOCOM and AFSOC products. Requirements Minimum of 1-year experience is required. Possess a minimum of a bachelor's degree in a computer science discipline or equivalent. Experience providing services similar in required tasks, scope, and complexity. At least \"Interim Secret\" w/in 30 days of hire is required. Preferred Qualifications Familiarity with Python, PowerBI, Advana, or Envision Top Secret clearance eligible for SCI is preferred. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.", "summaryDescription" : "Senior Data Analyst at Clarity Innovations. Skills: Data analysis, Data engineering, Reporting. Query data. Engineer data", "postedDate" : "2026-06-11T20:58:20.650", "createdAt" : "2026-06-11T20:58:20.650", "lastUpdated" : "2026-06-14T22:10:36.691", "ingestTimestamp" : "2026-06-11T20:58:20.650", "mongoId" : "6a2a485474d8ee00a05dee79", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115500, "salaryAnnualMax" : 155500, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data collection", "Data analysis", "Data reporting", "Algorithm design", "Data manipulation", "Quantitative data", "Data engineering", "Reporting", "Data management", "Data quality management", "Metadata management", "Data lineage", "Business definitions", "National security", "Information warfare", "Cyber operations", "Operational security", "Data structuring", "Intelligence Community", "Department of Defense", "AFSOC mission", "PowerBI", "Advana", "Envision" ], "skillCount" : 24, "jobCategory" : "other", "jobSubcategory" : "data-analysis", "dataQualityScore" : 0.8888889, "_score" : 1217.1953, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "National Security" }, { "id" : "6a2a926c74d8ee00a0690e71", "title" : "Senior Data Analyst", "company" : "Metropolis", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Analyst in Chicago, adjusted for the technology industry and company size." }, "location" : "Chicago, Illinois, United States", "locations" : [ "Chicago", "Illinois", "United States", "Los Angeles", "California", "United States", "Nashville", "Tennessee", "United States", "New York", "New York", "United States", "Seattle", "Washington", "United States" ], "timestamp" : "2026-06-14T19:26:31.990", "fingerprint" : "75a92b1057cb92561e08669e61db9f0bcdec7f1bbbdf5eaf36a105a7d6a0e237", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/metropolis/jobs/7768831003", "externalId" : "7768831003", "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" } ], "locationText" : "Chicago, Illinois, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Tableau, dbt, Snowflake, Java, JavaEE, SpringBoot, JavaScript, JQuery, MySQL, AWS, Git, Github", "professionalSkills" : [ "Data warehousing", "Data governance", "Data discovery", "Data cataloging", "Data dictionary", "Data quality", "Data privacy", "Access control", "Service level agreements" ], "hardSkillsList" : [ "Data analysis", "Data visualization", "Dashboard development", "Report development", "Ad hoc analysis", "Database architecture", "Data modeling" ], "softSkillsList" : [ "Problem-solving", "Mentoring" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Dashboard development", "level" : "intermediate" }, { "name" : "Report development", "level" : "intermediate" }, { "name" : "Ad hoc analysis", "level" : "intermediate" }, { "name" : "Database architecture", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" }, { "name" : "Mentoring" } ], "majorSkills" : "Data analysis, Business intelligence, Data warehousing, Data visualization", "majorSkillsList" : [ "Data analysis", "Business intelligence", "Data warehousing", "Data visualization" ], "coreResponsibilities" : "Serve as data partner, Define analytics roadmaps, Prioritize projects, Develop data visualizations, Develop dashboards, Develop reports, Craft SQL queries, Perform ad hoc analysis, Translate data findings, Collaborate with Data Engineering, Build Data Catalog, Maintain Data Catalog, Build Data Dictionary, Maintain Data Dictionary, Establish data quality guidelines, Establish data privacy guidelines, Establish access control guidelines, Identify platform improvements, Define service level agreements, Mentor junior members", "teamCollaboration" : "Business partners; Data engineering teams; Product teams; Engineering teams; Sales teams; Operations teams; Growth teams; Senior engineers; Staff engineers; Junior data team members", "projectManagementSkills" : [ "Project management", "Independent work", "Roadmap prioritization" ], "domainKnowledge" : "Recognition Economy; Data Analytics best practices; Data Warehouse platform; Relational databases; Dimensional databases", "domainList" : [ "recognition-economy", "data-analytics-best-practices", "data-warehouse-platform", "relational-databases", "dimensional-databases" ], "domainSpecificKnowledge" : [ "Recognition Economy", "Data Analytics best practices", "Data Warehouse platform", "Relational databases", "Dimensional databases" ], "toolProficiency" : [ "Tableau", "dbt", "Snowflake", "Git", "Github" ], "communicationSkills" : "Clear storytelling; Compelling stories", "documentationSkills" : "Data Catalog; Data Dictionary", "problemSolvingSkills" : "Troubleshoot performance issues", "outcomesObjectives" : "Deliver insights; Ensure data governance; Meet SLAs", "qualificationsBasic" : "Bachelor's degree in STEM, 6+ years experience in Analytics or BI, 4+ years complex data analysis, 4+ years SQL mastery, 4+ years Tableau or similar BI tool, 2+ years dbt experience, 2+ years Snowflake experience, Relational database structures expertise, Dimensional database structures expertise, Data platform architecture collaboration, Agile SCRUM teams experience, Project management skills, Independent work skills", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "workSiteFlexibility" : "Hybrid", "rawDescription" : "Who we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Senior Data Analyst who is highly motivated to contribute to the vision and development of our next generation of analytic data tools for internal and external customers. In this role, you will work closely with business partners to understand their data needs, gather requirements, identify reporting solutions, and collaborate with data engineering teams to prioritize and deliver insights rather than just reports. You will rely on your skills as an excellent communicator to collaborate with stakeholders across Product, Engineering, Sales, Operations, and Growth, while using your strong technical skills to interface with Senior and Staff engineers to ensure product compatibility with Data Analytics best practices. Additionally, you will utilize your problem-solving abilities to troubleshoot performance issues, guarantee all analytics meet SLAs, and evangelize Data Analytics and Data Engineering best practices to help build a best-in-class Data Warehouse platform. What you'll do Serve as the primary data partner for key business teams, helping them define their analytics roadmaps and prioritize projects that drive business value Develop data visualizations, dashboards, and reports using Tableau to provide teams with actionable insights Craft complex SQL queries and perform ad hoc analysis to answer critical business questions and evaluate the impact of new features Translate complex data findings into clear, compelling stories for both technical and non-technical audiences Contribute to the evolution of the data warehouse by collaborating with Data Engineering teams Build and maintain the Data Catalog or Data Dictionary to support data discovery and ensure data governance Establish best practices and guidelines for data quality, privacy, and access control Identify opportunities to improve the analytics platform's performance and report usage Collaborate with engineering teams to define service level agreements (SLAs) for data products Mentor and guide junior members of the data team What we're looking for Bachelor's degree in a STEM field or equivalent 6+ years of experience in an Analytics or Business Intelligence role 4+ years of experience performing complex data analysis and demonstrating mastery with SQL 4+ years of experience developing visualizations and dashboards in Tableau or a similar BI tool 2+ years of experience using dbt and Snowflake Possess expertise in relational and dimensional database structures, principles, and best practices Demonstrate a proven ability to collaborate with Data Engineering teams to architect a data platform Exhibit experience working in Agile SCRUM teams Display strong project management and independent work skills Bring excitement to working in a fast-paced, dynamic startup environment Our Stack Languages + Frameworks: Java, JavaEE, SpringBoot, JavaScript, JQuery Datastores: MySQL Cloud: AWS Version Control: Git & Github 4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $000,000.00 USD to $000,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-CM1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.", "summaryDescription" : "Senior Data Analyst at Metropolis. Skills: Data analysis, Business intelligence, Data warehousing, Data visualization. Serve as data partner. Define analytics roadmaps", "postedDate" : "2026-06-11T22:31:38.659", "createdAt" : "2026-06-11T22:31:38.659", "lastUpdated" : "2026-06-14T19:26:31.990", "ingestTimestamp" : "2026-06-11T22:31:38.659", "mongoId" : "6a2a926c74d8ee00a0690e71", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data visualization", "Dashboard development", "Report development", "Ad hoc analysis", "Database architecture", "Data modeling", "Problem-solving", "Mentoring", "Business intelligence", "Data warehousing", "Data governance", "Data discovery", "Data cataloging", "Data dictionary", "Data quality", "Data privacy", "Access control", "Service level agreements", "Project management", "Independent work", "Roadmap prioritization", "Recognition Economy", "Data Analytics best practices", "Data Warehouse platform", "Relational databases", "Dimensional databases", "Tableau", "dbt", "Snowflake", "Git", "Github" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "data-engineering-&-analytics", "dataQualityScore" : 0.8888889, "_score" : 1217.0298, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c6af174d8ee00a090f56d", "title" : "Senior Data Analyst (Payment)", "company" : "Bybit", "industry" : "FinTech", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "AED", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Analyst in Abu Dhabi, UAE, adjusted for the FinTech industry and Bybit's company profile." }, "location" : "Abu Dhabi", "locations" : [ "Abu Dhabi", "Kuala Lumpur Tech Office" ], "timestamp" : "2026-06-15T07:49:02.653", "fingerprint" : "1d062fdbffed4f1fce2c3f7ccb74a15a5403146cd5949aecb1b6f4c0dc4fdbef", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/bybit/jobs/4863532101", "externalId" : "4863532101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Abu Dhabi", "country" : "United Arab Emirates", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "24.4538352,54.3774014" } ], "locationText" : "Abu Dhabi, United Arab Emirates", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R", "professionalSkills" : [ "Data analysis", "Business intelligence", "ETL pipelines", "Data modeling" ], "hardSkillsList" : [ "Analytical thinking", "Data accuracy" ], "hardSkills" : [ { "name" : "Analytical thinking", "level" : "intermediate" }, { "name" : "Data accuracy", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Business intelligence, Payment analysis", "majorSkillsList" : [ "Data analysis", "Business intelligence", "Payment analysis" ], "coreResponsibilities" : "Analyze payment transaction data, Build dashboards, Maintain dashboards, Automate reports, Track payment performance, Track KPIs, Conduct deep-dive analyses, Optimize payment channel cost, Analyze user behavior patterns, Monitor data quality, Monitor data integrity, Identify discrepancies, Resolve discrepancies, Support business teams, Support product teams, Perform ad-hoc data requests, Perform A/B test analysis, Assess impact, Develop data models, Maintain ETL pipelines, Define metrics, Align data definitions, Standardize reporting, Provide actionable recommendations", "teamCollaboration" : "Cross-functional stakeholders", "domainKnowledge" : "Payment ecosystems; Card processing; Local payment methods; Settlement flows; Digital wallets", "domainList" : [ "payment-ecosystems", "card-processing", "local-payment-methods", "settlement-flows", "digital-wallets" ], "domainSpecificKnowledge" : [ "Payment ecosystems", "Card processing", "Local payment methods", "Settlement flows", "Digital wallets" ], "toolProficiency" : [ "Tableau", "Looker", "Power BI" ], "continuousLearning" : "Study Growth Fund", "problemSolvingSkills" : "Analytical thinking", "qualificationsBasic" : "Fluent in English and Mandarin, 5+ years of experience, Payment, banking, or fintech industry background, Proficiency in SQL, Proficiency in Python or R, Experience with BI/visualization tools, Familiarity with payment ecosystems, Analytical thinking, High attention to detail, Commitment to data accuracy", "qualificationsPreferred" : "Knowledge of card issuance, Knowledge of payment processing, Knowledge of digital banking products, Experience with statistical analysis, Experience with forecasting, Experience with machine learning techniques", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Key Responsibilities: Analyze payment transaction data, including volume, success rates, conversion funnels, and revenue metrics Build and maintain dashboards and automated reports to track payment performance and KPIs Conduct deep-dive analyses on payment channel efficiency, cost optimization, and user behavior patterns Monitor data quality and integrity across payment systems, identifying and resolving discrepancies Support business and product teams with ad-hoc data requests, A/B test analysis, and impact assessments Develop and maintain data models and ETL pipelines for payment-related datasets Collaborate with cross-functional stakeholders to define metrics, align on data definitions, and standardize reporting Provide actionable recommendations based on data findings to support growth strategies Required Qualifications: Fluent in English and Mandarin (written and spoken) 5+ years of experience in data analysis, business intelligence, or a related analytical role Payment, banking, or fintech industry background required Strong proficiency in SQL and at least one analytical programming language (Python or R) Experience with BI/visualization tools (Tableau, Looker, Power BI, or similar) Familiarity with payment ecosystems — card processing, local payment methods, settlement flows, or digital wallets Strong analytical thinking with the ability to translate complex data into clear, actionable insights High attention to detail and commitment to data accuracy Ability to work independently in a remote environment Comfortable working across different time zones Preferred Qualifications: Knowledge of card issuance, payment processing, or digital banking products Experience with statistical analysis, forecasting, or machine learning techniques Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.", "summaryDescription" : "Senior Data Analyst (Payment) at Bybit. Skills: Data analysis, Business intelligence, Payment analysis. Analyze payment transaction data. Build dashboards", "postedDate" : "2026-06-13T21:55:40.972", "createdAt" : "2026-06-13T21:55:40.972", "lastUpdated" : "2026-06-15T07:49:02.653", "ingestTimestamp" : "2026-06-13T21:55:40.972", "mongoId" : "6a2c6af174d8ee00a090f56d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Analytical thinking", "Data accuracy", "Data analysis", "Business intelligence", "Payment analysis", "ETL pipelines", "Data modeling", "Payment ecosystems", "Card processing", "Local payment methods", "Settlement flows", "Digital wallets", "Tableau", "Looker", "Power BI" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1210.1727, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a926c74d8ee00a0690e69", "title" : "Senior Data Analyst", "company" : "Metropolis", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Analyst in Chicago, adjusted for the technology industry and company size." }, "location" : "Chicago, Illinois, United States", "locations" : [ "Chicago", "Illinois", "United States", "Los Angeles", "California", "United States", "Nashville", "Tennessee", "United States", "New York", "New York", "United States", "Seattle", "Washington", "United States" ], "timestamp" : "2026-06-13T17:35:21.130", "fingerprint" : "0421468fa7c4a80ea64fd331f2635027b928d947c633bdfd1d2b23bd80ad7dac", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/metropolis/jobs/7768827003", "externalId" : "7768827003", "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" } ], "locationText" : "Chicago, Illinois, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "domainKnowledge" : "Data Warehouse platform", "domainList" : [ "data-warehouse-platform" ], "domainSpecificKnowledge" : [ "Data Warehouse platform" ], "workSiteFlexibility" : "Hybrid", "rawDescription" : "Who we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Senior Data Analyst who is highly motivated to contribute to the vision and development of our next generation of analytic data tools for internal and external customers. In this role, you will work closely with business partners to understand their data needs, gather requirements, identify reporting solutions, and collaborate with data engineering teams to prioritize and deliver insights rather than just reports. You will rely on your skills as an excellent communicator to collaborate with stakeholders across Product, Engineering, Sales, Operations, and Growth, while using your strong technical skills to interface with Senior and Staff engineers to ensure product compatibility with Data Analytics best practices. Additionally, you will utilize your problem-solving abilities to troubleshoot performance issues, guarantee all analytics meet SLAs, and evangelize Data Analytics and Data Engineering best practices to help build a best-in-class Data Warehouse platform. What you'll do Serve as the primary data partner for key business teams, helping them define their analytics roadmaps and prioritize projects that drive business value Develop data visualizations, dashboards, and reports using Tableau to provide teams with actionable insights Craft complex SQL queries and perform ad hoc analysis to answer critical business questions and evaluate the impact of new features Translate complex data findings into clear, compelling stories for both technical and non-technical audiences Contribute to the evolution of the data warehouse by collaborating with Data Engineering teams Build and maintain the Data Catalog or Data Dictionary to support data discovery and ensure data governance Establish best practices and guidelines for data quality, privacy, and access control Identify opportunities to improve the analytics platform's performance and report usage Collaborate with engineering teams to define service level agreements (SLAs) for data products Mentor and guide junior members of the data team What we're looking for Bachelor's degree in a STEM field or equivalent 6+ years of experience in an Analytics or Business Intelligence role 4+ years of experience performing complex data analysis and demonstrating mastery with SQL 4+ years of experience developing visualizations and dashboards in Tableau or a similar BI tool 2+ years of experience using dbt and Snowflake Possess expertise in relational and dimensional database structures, principles, and best practices Demonstrate a proven ability to collaborate with Data Engineering teams to architect a data platform Exhibit experience working in Agile SCRUM teams Display strong project management and independent work skills Bring excitement to working in a fast-paced, dynamic startup environment Our Stack Languages + Frameworks: Java, JavaEE, SpringBoot, JavaScript, JQuery Datastores: MySQL Cloud: AWS Version Control: Git & Github 4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $000,000.00 USD to $000,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-CM1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.", "summaryDescription" : "Senior Data Analyst at Metropolis", "postedDate" : "2026-06-11T18:59:18.345", "createdAt" : "2026-06-11T18:59:18.345", "lastUpdated" : "2026-06-13T17:35:21.130", "ingestTimestamp" : "2026-06-11T18:59:18.345", "mongoId" : "6a2a926c74d8ee00a0690e69", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data Warehouse platform" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "data-engineering-&-analytics", "dataQualityScore" : 0.8888889, "_score" : 1209.3868, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c7a1174d8ee00a0944270", "title" : "Senior Sales Data Analyst", "company" : "CarGurus", "industry" : "Technology", "salary" : { "min" : 87000.0, "max" : 109000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston (1001 Boylston Street)", "locations" : [ "Boston (1001 Boylston Street)" ], "timestamp" : "2026-06-15T05:08:52.886", "fingerprint" : "77f631ae52a80d652d497e9c7a33bf6239ecf66a37b3bf7b5b7270ee1e98af42", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.cargurus.com/us/en/job/7972474?gh_jid=7972474", "externalId" : "7972474", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Snowflake, Dbt, Python, Salesforce", "professionalSkills" : [ "Data strategy", "Business intelligence", "Sales analytics" ], "hardSkillsList" : [ "Data governance", "Reporting" ], "hardSkills" : [ { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "majorSkills" : "Sales analytics, Business intelligence, Data modeling", "majorSkillsList" : [ "Sales analytics", "Business intelligence", "Data modeling" ], "coreResponsibilities" : "Build GTM analytics foundation, Own pipeline reporting, Own install base reporting, Own churn reporting, Build demo-to-close analytics, Surface insights from Gong, Lead analytics for new product launches, Track adoption, Track attach, Track retention, Pinpoint process gaps, Design better approaches, Drive solutions, Streamline workflows, Evolve CRM design, Define data governance, Enforce data governance, Build prospecting signals, Wire signals into platforms, Manage capacity reporting, Manage supply-demand reporting, Track dealer engagement, Surface adoption-risk signals, Surface churn signals, Write production-grade SQL, Build dashboards, Maintain dashboards, Keep analytics aligned", "teamCollaboration" : "Partner with Sales; Partner with Product; Partner with Engineering; Partner with Operations; Partner with Product Analytics; Partner with Analytics Engineering; Partner with Customer Success", "domainKnowledge" : "Dealer software; Team selling motion; Automotive marketplace; Car shopping; SaaS; CRM design", "domainList" : [ "dealer-software", "team-selling-motion", "automotive-marketplace", "car-shopping", "saas", "crm-design" ], "domainSpecificKnowledge" : [ "Dealer software", "Team selling motion", "Automotive marketplace", "Car shopping", "SaaS", "CRM design" ], "toolProficiency" : [ "Snowflake", "Dbt", "Looker", "Omni", "Salesforce CRM Analytics", "Gong" ], "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "5+ years in analytics, Bachelor's degree in business, Advanced SQL, Cloud data warehouses experience", "qualificationsPreferred" : "Snowflake strongly preferred, PhD preferred", "workSiteFlexibility" : "Hybrid", "rawDescription" : "Who we are At CarGurus (NASDAQ: CARG), our mission is to give people the power to reach their destination. We started as a small team of developers determined to bring trust and transparency to car shopping. Since then, our history of innovation and go-to-market acceleration has driven industry-leading growth. In fact, we’re the largest and fastest-growing automotive marketplace, and we’ve been profitable for over 15 years. What we do The market is evolving, and we are too, moving the entire automotive journey online and guiding our customers through every step. That includes everything from the sale of an old car to the financing, purchase, and delivery of a new one. Today, tens of millions of consumers visit CarGurus.com each month, and ~30,000 dealerships use our products. But they're not the only ones who love CarGurus—our employees do, too. We have a people-first culture that fosters kindness, collaboration, and innovation, and empowers our Gurus with tools to fuel their career growth. Disrupting a trillion-dollar industry requires fresh and diverse perspectives. Come join us for the ride! Role Overview CarGurus is hiring a Senior Sales Data Analyst to support our Inventory & Data pillar as we build, sell, and scale the next generation of dealer software. You'll serve as a core analytical partner for a high-growth pillar, translating disparate signals from Salesforce, Gong, and internal product telemetry into the data foundations our go-to-market organization needs to scale. Your work will bridge the gap between complex raw data and the repeatable, high-impact reporting that drives execution across the full dealer journey with our products. You'll partner closely with Sales, Product, Engineering, and Operations leaders to build the data foundations behind a new team-selling motion and a growing software portfolio. It's ideal for someone who enjoys building in ambiguity, shaping new processes, and helping a business scale with the right metrics from the start. The ideal candidate is an advanced SQL practitioner who is equally comfortable partnering with Engineering on CRM and reporting design as they are coaching stakeholders on how to interpret and act on data. They're energized by being early to a new business and building from the ground up. What you'll do Build the pillar's GTM analytics foundation Own pipeline, install base, and churn reporting for the pillar's products, turning early prototypes into scalable, repeatable views. Build demo-to-close analytics: demo volume, no-shows, source attribution, and downstream MRR impact. Surface insights from Gong customer conversations. Lead analytics for new product launches, tracking adoption, attach, and retention from beta through GA. Partner with Product Analytics to define KPIs and integrate product telemetry into go-to-market analysis. Challenge process and close system gaps Pinpoint where our processes and Salesforce design don't line up, the gaps that make the new team-selling motion hard to track, attribute, and measure. Don't take existing processes at face value: question the status quo, design better approaches, and drive solutions that make the business measurable by default. Partner with Operations, Engineering, and Sales to streamline workflows and evolve CRM design for better tracking of pipeline, team selling, and clean revenue attribution. Define and enforce data governance for key workflows (demos, onboarding, no-shows, opportunity tagging, quoting) so downstream reporting is trusted. Drive prospecting and post-sale insight Build prospecting signals that surface high-potential dealers for each product, and partner with sales tool owners to wire them into the platforms reps use every day. Manage capacity and supply-demand reporting for products like Sell My Car so teams prioritize the right markets. Partner with Customer Success on dealer-level engagement tracking, surfacing adoption-risk and churn signals so account and product teams can intervene early. Set the technical standard Write production-grade SQL on Snowflake and partner with Analytics Engineering to productionize durable data assets in dbt. Build and maintain dashboards across our BI and CRM analytics tools (Looker, Omni, Salesforce CRM Analytics) so insights live where leaders and reps work. Keep Inventory analytics aligned with broader Sales Analytics standards and definitions across CarGurus. What you'll bring 5+ years in analytics, sales analytics, business intelligence, or data strategy, ideally in SaaS, technology, or consulting. Bachelor's degree in business, finance, computer science, or a related field, or equivalent practical experience. Advanced SQL and hands-on experience with cloud data warehouses (Snowflake strongly preferred). Strong working knowledge of Salesforce, including its core data structures and how they support or limit selling motions. Experience with Gong data is a plus. Experience with modern analytics tooling such as dbt, Looker, Omni, and Salesforce CRM Analytics. Solid grasp of SaaS and recurring-revenue metrics: pipeline, attach, conversion, churn, retention, and MRR. A proven ability to turn ambiguous questions into clear analyses and durable reporting with the judgment to build structure where processes and metrics are still taking shape. Excellent communication and storytelling skills, with a track record of influencing senior stakeholders. Comfort in a cross-functional, matrixed, fast-moving environment. Bonus: interest or experience in the automotive marketplace, dealer software, inventory management, pricing, or sourcing products. Why this role You'll help shape how CarGurus brings a growing portfolio of software and data products to market, building the measurement and reporting infrastructure a new business needs to scale. You'll partner closely with leaders across Sales, Product, Engineering, and Operations, influencing strategy while creating the systems, metrics, and insights that guide key business decisions. If you enjoy building in ambiguity, driving meaningful change, and helping a business scale from the ground up, you'll thrive in this role. The displayed range represents the expected annual base salary / On-Target Earnings (OTE) for this position. On-Target Earnings (OTE) is inclusive of base salary and on-target commission earnings, which applies exclusively to sales roles. Individual pay within this range is determined by work location and other factors such as job-related skills, experience, and relevant education or training. This annual base salary forms part of a comprehensive Total Rewards Package. In addition to benefits, this role may qualify for discretionary bonuses/incentives and Restricted Stock Units (RSUs). Position Pay Range $87,000—$109,000 USD Working at CarGurus We reward our Gurus’ curiosity and passion with best-in-class benefits and compensation, including equity for all employees, both when they start and as they continue to grow with us. Our career development and corporate giving programs, as well as our employee resource groups (ERGs) and communities, help people build connections while making an impact in personally meaningful ways. A flexible hybrid model and robust time off policies encourage work-life balance and individual well-being. Thoughtful perks like daily free lunch, a new car discount, meditation and fitness apps, commuting cost coverage, and more help our people create space for what matters most in their personal and professional lives. CarGurus may require in-person interviews as part of our hiring process, particularly for positions based in our Boston and Dublin offices. Candidates selected for an in-person interview will be notified in advance. Please be aware that travel expenses are the responsibility of the candidate. We welcome all CarGurus strives to be a place to which people can bring the ultimate expression of themselves and their potential—starting with our hiring process. We do not discriminate based on race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. We foster an inclusive environment that values people for their skills, experiences, and unique perspectives. That’s why we hope you’ll apply even if you don’t check every box listed in the job description. We also encourage you to tell your recruiter if you require accommodations to participate in our hiring process due to a disability so we can provide the appropriate support. We want to know what only you can bring to CarGurus. #LI-Hybrid", "summaryDescription" : "Senior Sales Data Analyst at CarGurus. Skills: Sales analytics, Business intelligence, Data modeling. Build GTM analytics foundation. Own pipeline reporting", "postedDate" : "2026-06-14T08:54:21.090", "createdAt" : "2026-06-14T08:54:21.090", "lastUpdated" : "2026-06-15T05:08:52.886", "ingestTimestamp" : "2026-06-14T08:54:21.090", "mongoId" : "6a2c7a1174d8ee00a0944270", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 87000, "salaryAnnualMax" : 109000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data governance", "Reporting", "Sales analytics", "Business intelligence", "Data modeling", "Data strategy", "Dealer software", "Team selling motion", "Automotive marketplace", "Car shopping", "SaaS", "CRM design", "Snowflake", "Dbt", "Looker", "Omni", "Salesforce CRM Analytics", "Gong" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1208.8802, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a926c74d8ee00a0690e6e", "title" : "Senior Data Analyst", "company" : "Metropolis", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Analyst in Chicago, adjusted for the technology industry and company size." }, "location" : "Chicago, Illinois, United States", "locations" : [ "Chicago", "Illinois", "United States", "Los Angeles", "California", "United States", "Nashville", "Tennessee", "United States", "New York", "New York", "United States", "Seattle", "Washington", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified" ], "timestamp" : "2026-06-14T22:15:26.577", "fingerprint" : "4a6084bd89f77dcac8e922f317089a34ad325124e46234ec54191277c2c9de15", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/metropolis/jobs/7768818003", "externalId" : "7768818003", "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" } ], "locationText" : "Chicago, Illinois, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Tableau, dbt, Snowflake, Java, JavaEE, SpringBoot, JavaScript, JQuery, MySQL, AWS, Git, Github", "professionalSkills" : [ "Data warehousing", "Data governance", "Data discovery", "Data cataloging", "Data dictionary", "Data quality", "Data privacy", "Access control", "Service level agreements" ], "hardSkillsList" : [ "Data analysis", "Data visualization", "Dashboard development", "Report development", "Ad hoc analysis", "SQL querying", "Database structures", "Database principles", "Database best practices", "Performance troubleshooting", "Data governance", "Data quality", "Data privacy", "Access control" ], "softSkillsList" : [ "Problem-solving", "Mentoring" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Dashboard development", "level" : "intermediate" }, { "name" : "Report development", "level" : "intermediate" }, { "name" : "Ad hoc analysis", "level" : "intermediate" }, { "name" : "SQL querying", "level" : "intermediate" }, { "name" : "Database structures", "level" : "intermediate" }, { "name" : "Database principles", "level" : "intermediate" }, { "name" : "Database best practices", "level" : "intermediate" }, { "name" : "Performance troubleshooting", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Data privacy", "level" : "intermediate" }, { "name" : "Access control", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" }, { "name" : "Mentoring" } ], "majorSkills" : "Data analysis, Business intelligence, SQL, Tableau", "majorSkillsList" : [ "Data analysis", "Business intelligence", "SQL", "Tableau" ], "coreResponsibilities" : "Serve as data partner, Define analytics roadmaps, Prioritize projects, Develop data visualizations, Develop dashboards, Develop reports, Craft SQL queries, Perform ad hoc analysis, Translate data findings, Collaborate with Data Engineering, Build Data Catalog, Maintain Data Catalog, Build Data Dictionary, Maintain Data Dictionary, Establish best practices, Establish guidelines, Identify opportunities, Improve analytics platform performance, Improve report usage, Define service level agreements, Mentor junior members, Guide junior members", "teamCollaboration" : "Business partners; Data engineering teams; Product teams; Engineering teams; Sales teams; Operations teams; Growth teams; Senior engineers; Staff engineers; Agile SCRUM teams", "projectManagementSkills" : [ "Project management", "Independent work", "Roadmap planning", "Agile", "SCRUM" ], "domainKnowledge" : "Relational databases; Dimensional databases; Data warehousing; Data governance; Data quality; Data privacy; Access control; Service level agreements", "domainList" : [ "relational-databases", "dimensional-databases", "data-warehousing", "data-governance", "data-quality", "data-privacy", "access-control", "service-level-agreements" ], "domainSpecificKnowledge" : [ "Relational databases", "Dimensional databases", "Data warehousing", "Data governance", "Data quality", "Data privacy", "Access control", "Service level agreements" ], "toolProficiency" : [ "Tableau", "dbt", "Snowflake", "Git", "Github" ], "communicationSkills" : "Clear storytelling; Compelling stories", "documentationSkills" : "Data Catalog; Data Dictionary", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem-solving; Troubleshoot performance issues", "specialRequirements" : "4 Days in Office", "outcomesObjectives" : "Deliver insights; Ensure data governance; Meet SLAs", "qualificationsBasic" : "Bachelor's degree in STEM, 6+ years experience in Analytics or BI, 4+ years complex data analysis, 4+ years SQL mastery, 4+ years Tableau or similar BI tool, 2+ years dbt experience, 2+ years Snowflake experience, Relational and dimensional database expertise, Collaborate with Data Engineering teams, Agile SCRUM teams experience, Project management skills, Independent work skills", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "workSiteFlexibility" : "Hybrid", "rawDescription" : "Who we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Senior Data Analyst who is highly motivated to contribute to the vision and development of our next generation of analytic data tools for internal and external customers. In this role, you will work closely with business partners to understand their data needs, gather requirements, identify reporting solutions, and collaborate with data engineering teams to prioritize and deliver insights rather than just reports. You will rely on your skills as an excellent communicator to collaborate with stakeholders across Product, Engineering, Sales, Operations, and Growth, while using your strong technical skills to interface with Senior and Staff engineers to ensure product compatibility with Data Analytics best practices. Additionally, you will utilize your problem-solving abilities to troubleshoot performance issues, guarantee all analytics meet SLAs, and evangelize Data Analytics and Data Engineering best practices to help build a best-in-class Data Warehouse platform. What you'll do Serve as the primary data partner for key business teams, helping them define their analytics roadmaps and prioritize projects that drive business value Develop data visualizations, dashboards, and reports using Tableau to provide teams with actionable insights Craft complex SQL queries and perform ad hoc analysis to answer critical business questions and evaluate the impact of new features Translate complex data findings into clear, compelling stories for both technical and non-technical audiences Contribute to the evolution of the data warehouse by collaborating with Data Engineering teams Build and maintain the Data Catalog or Data Dictionary to support data discovery and ensure data governance Establish best practices and guidelines for data quality, privacy, and access control Identify opportunities to improve the analytics platform's performance and report usage Collaborate with engineering teams to define service level agreements (SLAs) for data products Mentor and guide junior members of the data team What we're looking for Bachelor's degree in a STEM field or equivalent 6+ years of experience in an Analytics or Business Intelligence role 4+ years of experience performing complex data analysis and demonstrating mastery with SQL 4+ years of experience developing visualizations and dashboards in Tableau or a similar BI tool 2+ years of experience using dbt and Snowflake Possess expertise in relational and dimensional database structures, principles, and best practices Demonstrate a proven ability to collaborate with Data Engineering teams to architect a data platform Exhibit experience working in Agile SCRUM teams Display strong project management and independent work skills Bring excitement to working in a fast-paced, dynamic startup environment Our Stack Languages + Frameworks: Java, JavaEE, SpringBoot, JavaScript, JQuery Datastores: MySQL Cloud: AWS Version Control: Git & Github 4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $000,000.00 USD to $000,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-CM1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.", "summaryDescription" : "Senior Data Analyst at Metropolis. Skills: Data analysis, Business intelligence, SQL, Tableau. Serve as data partner. 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Data engineering teams; Product teams; Engineering teams; Sales teams; Operations teams; Growth teams; Senior engineers; Staff engineers; Junior data team members", "projectManagementSkills" : [ "Project management", "Agile SCRUM" ], "domainKnowledge" : "Relational databases; Dimensional databases; Data warehousing platform", "domainList" : [ "relational-databases", "dimensional-databases", "data-warehousing-platform" ], "domainSpecificKnowledge" : [ "Relational databases", "Dimensional databases", "Data warehousing platform" ], "toolProficiency" : [ "Tableau", "dbt", "Snowflake", "Git", "Github" ], "communicationSkills" : "Clear storytelling; Compelling stories", "documentationSkills" : "Data cataloging; Data dictionary", "problemSolvingSkills" : "Problem-solving; Troubleshoot performance issues", "outcomesObjectives" : "Deliver insights; Ensure data governance; Meet SLAs; Improve analytics platform performance; Improve report usage", "qualificationsBasic" : "Bachelor's degree in STEM, 6+ years experience in Analytics or BI, 4+ years complex data analysis, 4+ years SQL mastery, 4+ years Tableau or similar BI tool, 2+ years dbt experience, 2+ years Snowflake experience, Relational database structures expertise, Dimensional database structures expertise, Data platform architecture collaboration, Agile SCRUM teams experience, Project management skills, Independent work skills", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "workSiteFlexibility" : "Hybrid", "rawDescription" : "Who we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Senior Data Analyst who is highly motivated to contribute to the vision and development of our next generation of analytic data tools for internal and external customers. In this role, you will work closely with business partners to understand their data needs, gather requirements, identify reporting solutions, and collaborate with data engineering teams to prioritize and deliver insights rather than just reports. You will rely on your skills as an excellent communicator to collaborate with stakeholders across Product, Engineering, Sales, Operations, and Growth, while using your strong technical skills to interface with Senior and Staff engineers to ensure product compatibility with Data Analytics best practices. Additionally, you will utilize your problem-solving abilities to troubleshoot performance issues, guarantee all analytics meet SLAs, and evangelize Data Analytics and Data Engineering best practices to help build a best-in-class Data Warehouse platform. What you'll do Serve as the primary data partner for key business teams, helping them define their analytics roadmaps and prioritize projects that drive business value Develop data visualizations, dashboards, and reports using Tableau to provide teams with actionable insights Craft complex SQL queries and perform ad hoc analysis to answer critical business questions and evaluate the impact of new features Translate complex data findings into clear, compelling stories for both technical and non-technical audiences Contribute to the evolution of the data warehouse by collaborating with Data Engineering teams Build and maintain the Data Catalog or Data Dictionary to support data discovery and ensure data governance Establish best practices and guidelines for data quality, privacy, and access control Identify opportunities to improve the analytics platform's performance and report usage Collaborate with engineering teams to define service level agreements (SLAs) for data products Mentor and guide junior members of the data team What we're looking for Bachelor's degree in a STEM field or equivalent 6+ years of experience in an Analytics or Business Intelligence role 4+ years of experience performing complex data analysis and demonstrating mastery with SQL 4+ years of experience developing visualizations and dashboards in Tableau or a similar BI tool 2+ years of experience using dbt and Snowflake Possess expertise in relational and dimensional database structures, principles, and best practices Demonstrate a proven ability to collaborate with Data Engineering teams to architect a data platform Exhibit experience working in Agile SCRUM teams Display strong project management and independent work skills Bring excitement to working in a fast-paced, dynamic startup environment Our Stack Languages + Frameworks: Java, JavaEE, SpringBoot, JavaScript, JQuery Datastores: MySQL Cloud: AWS Version Control: Git & Github 4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $000,000.00 USD to $000,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-CM1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.", "summaryDescription" : "Senior Data Analyst at Metropolis. Skills: Data analysis, Business intelligence, SQL, Tableau. Serve as data partner. 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Cross-functional alignment; Senior stakeholders", "projectManagementSkills" : [ "Program management", "Multi-threaded initiatives", "Cross-functional initiatives" ], "domainKnowledge" : "Data and analytics; AI; Organizational strategy", "domainList" : [ "data-and-analytics", "ai", "organizational-strategy" ], "domainSpecificKnowledge" : [ "Data and analytics", "AI", "Organizational strategy" ], "communicationSkills" : "Write strategic materials; Present strategic materials; Executive narratives; Investment cases; QBR decks", "continuousLearning" : "Actively learn and apply domain knowledge", "innovationCreativity" : "Identify emerging opportunities; Drive strategic programs", "problemSolvingSkills" : "Pressure-test assumptions; Evaluate AI and data investments; Engage credibly with technical leaders; Synthesize information; Solve problems; Critical thinking", "qualificationsBasic" : "7–10+ years in strategy, analytics, consulting, or business operations, Data and analytics fluency, Proven ability to write and present strategic materials for C-suite and senior leadership audiences, Experience owning complex planning and review processes across a function or organization, Program management skills, Demonstrated ability to influence without authority across senior stakeholders, Comfortable in fast-moving, ambiguous environments", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Who We Are At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people. We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you. We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team. Our Values If this sounds like you, you’ll fit right in. Department Technology, Data structure, narrative, preparation, and facilitation Lead planning processes that connect DNA's priorities to enterprise OKRs and cross-functional operating forums Build and maintain the mechanisms that keep DNA's strategy visible, measurable, and connected to how the business operates Ensure DNA's planning and review cadences are integrated with Finance, Product, Revenue, and Operations rhythms Leading Special Projects (40%) Partner with the VP to develop, pressure-test, and communicate DNA's annual and long-range strategy - including investment theses, capability roadmaps, and organizational direction Identify emerging opportunities in data, analytics, and AI that can create meaningful business value; synthesizing internal signals, market trends, and competitive context Drive strategic programs that require sustained alignment across multiple functions and senior stakeholders Lead ambiguous, high-impact initiatives that have no clear home - mobilizing teams toward outcomes and filling gaps that fall between existing ownership lines Intangibles: Executive Leverage, Narrative, communicates effectively; understands urgency and plans accordingly Balances Stakeholders - Understands internal and external stakeholder requirements, expectations, and needs and acts fairly despite conflicting demands of stakeholders. Influence and leadership - fostering a community of knowledge-sharing, collaboration, mentorship, and forward-thinking across the organization. Manages Complexity - Making sense of complex, high-quantity, and sometimes contradictory information to effectively solve problems. Good Judgment - Pauses before acting; asks questions to fully understand context; applies critical thinking and takes ownership of outcomes Teamwork leverages unique skills to maximize efficiency Skills and knowledge - the capacity to actively learn and apply specific domain knowledge, know-how, and best practices to continually enhance and improve. In addition, all Justworkers focus on aligning their behaviors to our core values known as COGIS. It stands for: Camaraderie - Day to day, you can be seen working together toward a higher purpose. You like to have fun. You’re an active listener, treat people respectfully, and have a strong desire to know and help others. Openness - Your default is to be open. You're willing to share information, understand other perspectives, and consider new possibilities. You’re curious, ask open questions, and are receptive to thoughts and feedback from others. Grit - You demonstrate grit by having the courage to commit and persevere. You’re committed, earnest, and dive in to get the job done well with a positive attitude. Integrity - Simply put, do what you say and say what you'll do. You’re honest and forthright, have a strong moral compass, and strive to match your words with your actions while leading by example. Simplicity - Be like Einstein: “Everything should be made as simple as possible, but no simpler.” Qualifications 7–10+ years in strategy, analytics, consulting, or business operations with a track record of working at the intersection of data and organizational strategy Strong data and analytics fluency, enough to pressure-test assumptions, evaluate AI and data investments, and engage credibly with technical leaders Proven ability to write and present strategic materials for C-suite and senior leadership audiences - executive narratives, investment cases, QBR decks Experience owning complex planning and review processes across a function or organization Strong program management skills - able to run multi-threaded, cross-functional initiatives with clarity and accountability Demonstrated ability to influence without authority across senior stakeholders Comfortable in fast-moving, ambiguous environments where the path isn't always defined The base wage range for this position based in our New York City Office is targeted at $175,500.00 - $201,825.00 per year. #LI-DG2 #LI-Hybrid Actual compensation is based on multiple factors that are unique to each candidate, including and not limited to skill set, level of relevant experience, and specific work location. Salary ranges for positions based in other locations may differ based on the cost of labor in that location. For more information about Justworks’ Total Reward Philosophy, including all of the perks and benefits we are proud to offer our team members, please visit Total Rewards @ Justworks. Diversity At Justworks Justworks is committed to maintaining a workplace where diversity of identity, culture, and life experience is the norm and is celebrated authentically and respected consistently. Diversity in our work, our people, and our product drives creativity and innovation, entrepreneurial leadership and integrity, competitiveness, and collaboration throughout our business and in the market. We depend on our differences to make our team stronger, our workplace more dynamic, and our product accessible to all of our customers. We’re proud to be an equal opportunity employer open to all qualified applicants regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital or familial status, disability, pregnancy, gender identity or expression, veteran status, genetic information, or any other legally protected status. Justworks is fully dedicated to providing necessary support to candidates with disabilities who may require reasonable accommodations. We also provide reasonable accommodations to employees based on their sincerely held religious beliefs, as well as for other covered reasons consistent with applicable federal, state, and local laws. If you're in need of a reasonable accommodation, please reach out to us at accommodations@justworks.com. Your comfort and success matter to us, and we're here to ensure an inclusive experience. Our DEIB Report", "summaryDescription" : "Senior Manager, Strategy Operations - Data & Analytics at Justworks. Skills: Strategy Operations, Data & Analytics, Planning processes, Strategic programs. Lead planning processes. Build mechanisms for strategy visibility", "postedDate" : "2026-06-11T20:17:22.171", "createdAt" : "2026-06-11T20:17:22.171", "lastUpdated" : "2026-06-14T10:04:24.380", "ingestTimestamp" : "2026-06-11T20:17:22.171", "mongoId" : "6a2aa71c74d8ee00a06bc6b9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 245000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data fluency", "Analytics fluency", "Strategic planning", "Program management", "Financial modeling", "Organizational strategy", "Executive Leverage", "Narrative", "Influence", "Leadership", "Mentorship", "Manages Complexity", "Good Judgment", "Critical thinking", "Teamwork", "Skills and knowledge", "Camaraderie", "Openness", "Grit", "Integrity", "Simplicity", "Strategy Operations", "Data & Analytics", "Planning processes", "Strategic programs", "Business operations", "Data analysis", "AI investment", "Investment cases", "Capability roadmaps", "Organizational direction", "Market trends", "Competitive context", "Cross-functional alignment", "High-impact initiatives", "Resource planning", "Multi-threaded initiatives", "Cross-functional initiatives", "Data and analytics", "AI" ], "skillCount" : 40, "jobCategory" : "other", "jobSubcategory" : "data", "dataQualityScore" : 0.8888889, "_score" : 1204.9026, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2aa44c74d8ee00a06b174b", "title" : "Senior Data Analyst", "company" : "Coforge", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Analyst in the Technology industry in India, adjusted for seniority and remote work." }, "location" : "Latin America", "locations" : [ "Latin America" ], "timestamp" : "2026-06-14T22:16:00.084", "fingerprint" : "0a06ad4736e93a934b39a57e53998e6d58db7e558b48e44e1725f1aa025b8fbe", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/encora10/jobs/5153261007", "externalId" : "5153261007", "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Looker Studio, BigQuery, Python", "professionalSkills" : [ "Attribution modeling", "KPI frameworks", "Product-led growth" ], "hardSkillsList" : [ "Data Analysis", "Advanced SQL", "Cloud data warehousing", "Attribution modeling", "KPI framework development", "Business insights translation" ], "hardSkills" : [ { "name" : "Data Analysis", "level" : "intermediate" }, { "name" : "Advanced SQL", "level" : "intermediate" }, { "name" : "Cloud data warehousing", "level" : "intermediate" }, { "name" : "Attribution modeling", "level" : "intermediate" }, { "name" : "KPI framework development", "level" : "intermediate" }, { "name" : "Business insights translation", "level" : "intermediate" } ], "majorSkills" : "Data Analysis, SQL, Looker Studio, BigQuery", "majorSkillsList" : [ "Data Analysis", "SQL", "Looker Studio", "BigQuery" ], "coreResponsibilities" : "Extract value from data, Build high-impact dashboards, Perform advanced analysis, Translate complex datasets into actionable business insights, Own cross-functional KPI frameworks, Build attribution models, Analyze product-led growth funnels", "teamCollaboration" : "Cross-functional KPI frameworks", "domainKnowledge" : "Hardware demand; Marketing spend; Hardware registrations; Product-led growth; Mixed business models; Sell-in vs sell-through; Channel vs direct; Subscription vs perpetual; Customer lifecycle; Growth frameworks", "domainList" : [ "hardware-demand", "marketing-spend", "hardware-registrations", "product-led-growth", "mixed-business-models", "sell-in-vs-sell-through", "channel-vs-direct", "subscription-vs-perpetual", "customer-lifecycle", "growth-frameworks" ], "domainSpecificKnowledge" : [ "Hardware demand", "Marketing spend", "Hardware registrations", "Product-led growth", "Mixed business models", "Sell-in vs sell-through", "Channel vs direct", "Subscription vs perpetual", "Customer lifecycle", "Growth frameworks" ], "toolProficiency" : [ "SQL", "Looker Studio", "BigQuery", "Segment", "Braze" ], "communicationSkills" : "Business insights translation", "problemSolvingSkills" : "Analytical thinking", "outcomesObjectives" : "Build attribution models that connect marketing spend to hardware registrations; Analyze product-led growth funnels from sign-up through monetization", "qualificationsBasic" : "Experience in Data Analysis / Analytics / BI roles, SQL (advanced level), Experience analyzing data in BigQuery or similar cloud warehouses, Experience with attribution modeling, analytical thinking, ability to translate data into business insights, Experience building and owning cross-functional KPI frameworks", "qualificationsPreferred" : "Experience with GA4 raw event data, Experience with hardware + software or mixed business models, Experience with product-led growth metrics, Hands-on experience with Segment, Braze, or similar marketing/product tools, Exposure to dbt or data modeling concepts, Hands-on experience with Python for data analysis, Knowledge of statistics and experimentation (A testing), Familiarity with customer lifecycle and growth frameworks, Comfort with AI-assisted analysis (Claude, Copilot)", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Job Title: Senior Data Analyst Key Skills: Data Analysis, SQL, Looker Studio, BigQuery. Location: Brazil Mode: Remote We at Coforge are hiring Senior Data Analystwith the following skill set. Key Responsibilities Focused on extracting value from data by building high-impact dashboards, performing advanced analysis, and translating complex datasets into actionable business insights. Own cross-functional KPI frameworks (e.g., our \"Gap to Goal\" hardware demand dashboard). Build attribution models that connect marketing spend to hardware registrations, and analyze product-led growth funnels from sign-up through monetization. Required Skills & Qualifications Experience in Data Analysis / Analytics / BI roles. Strong proficiency in: SQL (advanced level) Looker Studio (our primary BI tool) or similar (Tableau, Power BI) Experience analyzing data in BigQuery or similar cloud warehouses. Experience with attribution modeling (multi-touch, channel attribution, marketing mix). Strong analytical thinking and ability to translate data into business insights. Experience building and owning cross-functional KPI frameworks spanning marketing, product, and revenue. Preferred Skills: Experience with GA4 raw event data (not just dashboarding on processed data — understanding the underlying event model). Experience with hardware + software or mixed business models (sell-in vs sell-through, channel vs direct, subscription vs perpetual). Experience with product-led growth metrics (funnel analysis, activation, conversion, cohort analysis). Hands-on experience with Segment, Braze, or similar marketing/product tools. Exposure to dbt or data modeling concepts. Hands-on experience with Python for data analysis. Knowledge of statistics and experimentation (A/B testing). Familiarity with customer lifecycle and growth frameworks. Comfort with AI-assisted analysis (Claude, Copilot). Posted On: 09-06-2026 At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.", "summaryDescription" : "Senior Data Analyst at Coforge. Skills: Data Analysis, SQL, Looker Studio, BigQuery. Extract value from data. Build high-impact dashboards", "postedDate" : "2026-06-11T18:15:21.233", "createdAt" : "2026-06-11T18:15:21.233", "lastUpdated" : "2026-06-14T22:16:00.084", "ingestTimestamp" : "2026-06-11T18:15:21.233", "mongoId" : "6a2aa44c74d8ee00a06b174b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data Analysis", "Advanced SQL", "Cloud data warehousing", "Attribution modeling", "KPI framework development", "Business insights translation", "SQL", "Looker Studio", "BigQuery", "KPI frameworks", "Product-led growth", "Hardware demand", "Marketing spend", "Hardware registrations", "Mixed business models", "Sell-in vs sell-through", "Channel vs direct", "Subscription vs perpetual", "Customer lifecycle", "Growth frameworks", "Segment", "Braze" ], "skillCount" : 22, "jobCategory" : "other", "jobSubcategory" : "brazil-non-ps-billable", "dataQualityScore" : 0.8888889, "_score" : 1198.7231, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2cb0cb74d8ee00a09db152", "title" : "Senior Marketing Data Analyst", "company" : "Surfshark", "industry" : "Surfshark", "salary" : { "min" : 4000.0, "max" : 5900.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vilnius, Lithuania", "locations" : [ "Vilnius, Lithuania", "Kaunas, Lithuania", "Warsaw, Poland" ], "timestamp" : "2026-06-15T07:24:55.598", "fingerprint" : "ba4c7e7d416d2bddaae00a426a1521d8d626e38db95ab01761dcb1cb53389460", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/surfshark/3876db4a-8a78-4cf4-9502-aa5ee33853a4/application", "externalId" : "3876db4a-8a78-4cf4-9502-aa5ee33853a4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vilnius", "country" : "Lithuania", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "54.6870458,25.2829111" } ], "locationText" : "Vilnius, Lithuania", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Dbt, Git", "professionalSkills" : [ "Business acumen", "Analytical solutions", "Data models", "Data visualizations", "Data literacy" ], "hardSkillsList" : [ "SQL query writing", "Data modeling", "Data analysis", "Problem solving" ], "hardSkills" : [ { "name" : "SQL query writing", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Problem solving", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Data modeling, SQL", "majorSkillsList" : [ "Data analysis", "Data modeling", "SQL" ], "coreResponsibilities" : "Act as analytical partner, Build analytics solutions, Empower marketing stakeholders, Design data models, Design reporting layers, Ensure reliable data, Challenge assumptions, Uncover opportunities, Drive continuous improvement, Translate data, Create actionable visualizations, Ensure data products align, Advocate for data literacy, Help others self-serve", "teamCollaboration" : "Marketing stakeholders; Other teams", "domainKnowledge" : "Marketing analytics", "domainList" : [ "marketing-analytics" ], "domainSpecificKnowledge" : [ "Marketing analytics" ], "toolProficiency" : [ "Dbt", "Looker", "Tableau", "Git" ], "communicationSkills" : "Actionable visualizations; Clear communication", "continuousLearning" : "Learning opportunities; Online learning platforms; Books for professional growth", "innovationCreativity" : "Push boundaries", "problemSolvingSkills" : "Problem-solving; Analytical workstreams", "outcomesObjectives" : "Make smarter decisions; Make faster decisions; Ensure reliable data products", "qualificationsBasic" : "Proven analytical experience, Advanced SQL proficiency, Modern analytics stacks experience, Business acumen, Problem-solving skills, Communication skills, Structured analytical workstreams", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Want to lead a culture of data-driven decision-making? Love turning data into meaningful, actionable insights? If so, we want you on our Data team at Surfshark! This team comprises experts who specialize in collecting, analyzing, and interpreting large amounts of data. The Data team also takes pride in creating robust ETLs and dashboards that allow other teams to monitor, plan, and achieve their goals effectively. As a Data Analyst, you will play a crucial role in building a self-service-enabled reporting layer, helping businesses extract insights and knowledge from vast amounts of data. If this sounds interesting, read along! IF YOU WANT TO: - Act as an analytical partner by building robust, end-to-end analytics solutions that empower marketing stakeholders to make smarter, faster decisions; - Design clean, scalable data models and reporting layers to ensure reliable reporting; - Push the boundaries of how data is used by challenging assumptions, uncovering opportunities, and driving continuous improvement; - Translate complex data into clear, actionable visualizations and narratives; - Ensure that data products (dashboards, models) align with current principles, guidelines, and standards; - Advocate for data literacy and enablement, helping others self-serve and interpret data confidently. AND YOU CAN CHECK OFF: - Proven experience in an analytical role; - Advanced proficiency in SQL, with the ability to write performant and complex queries. - Experience with modern analytics stacks and workflows (e.g., dbt, Looker/Tableau, Git); - Strong business acumen, with the ability to challenge vague requests, clarify impact, and guide stakeholders toward meaningful, data-driven decisions; - Excellent problem-solving and communication skills, with the ability to manage end-to-end projects; - Proven ability to turn messy, ambiguous product or business problems into structured analytical workstreams with clear outcomes. HERE’S THE DEAL: - Growth and learning opportunities: time dedicated to learning, conferences, online learning platforms, and books for your professional development; - Health and wellness: we want you to feel and be your best. That's why we offer various benefits, from online workouts and a physical coach to health insurance and regular mental health checks; - Tools of your choice: choose the technical equipment and tools you need to do your best work; - Community and celebrations: get ready for long-lasting traditions such as yearly workation, Friday get-togethers, various team buildings and company celebrations; - Work-life balance: We encourage working in the office, with the possibility of up to two remote days per week. Plus, with our WFA policy, you can work from almost anywhere in the world; - More days off: additional vacation days depending on your tenure; - Premium Surfshark accounts: for you, your family, and friends; - Gross salary: 4000 - 5900 Eur/month for the Lithuanian market, 19600 - 25000 Pln/month for the Polish market. It may vary depending on your skills and experience.", "summaryDescription" : "Senior Marketing Data Analyst at Surfshark. Skills: Data analysis, Data modeling, SQL. Act as analytical partner. Build analytics solutions", "createdAt" : "2026-06-13T23:20:32.160", "lastUpdated" : "2026-06-15T07:24:55.598", "ingestTimestamp" : "2026-06-13T23:20:32.160", "mongoId" : "6a2cb0cb74d8ee00a09db152", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "SQL query writing", "Data modeling", "Data analysis", "Problem solving", "SQL", "Business acumen", "Analytical solutions", "Data models", "Data visualizations", "Data literacy", "Marketing analytics", "Dbt", "Looker", "Tableau", "Git" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 1196.0723, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6aa274d8ee00a090d02d", "title" : "Data Analyst", "company" : "StraitsX", "industry" : "FinTech", "salary" : { "min" : 1.2E8, "max" : 1.8E8, "currency" : "IDR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Data Analyst in Jakarta, Indonesia, adjusted for the FinTech industry and company size." }, "location" : "Jakarta, Jakarta, Indonesia", "locations" : [ "Jakarta", "Jakarta", "Indonesia" ], "timestamp" : "2026-06-15T11:20:43.690", "fingerprint" : "7165aaaf56d2d19fc744a564d6ea15b83c8070d44a4a5b34559a1da75c26fdf7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/straitsx/jobs/4881106101", "externalId" : "4881106101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Jakarta", "state" : "Jakarta", "country" : "Indonesia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "-6.1726007,106.8785732" } ], "locationText" : "Jakarta, Jakarta, Indonesia", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 1, "experienceLevel" : "Entry", "technicalSkills" : "SQL, Python, BigQuery, Tableau", "professionalSkills" : [ "Data analysis", "Data interpretation", "Business intelligence", "Data modeling", "Data warehousing" ], "hardSkillsList" : [ "Statistical analysis", "Analytical techniques", "Data collection", "Data interpretation", "Data analysis", "Data modeling", "Data warehousing", "Root cause analysis" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Analytical techniques", "level" : "intermediate" }, { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Business intelligence, Data modeling", "majorSkillsList" : [ "Data analysis", "Business intelligence", "Data modeling" ], "coreResponsibilities" : "Develop dashboards, Maintain dashboards, Develop reports, Maintain reports, Collect data, Interpret data, Analyze data, Conduct data analysis, Investigate business challenges, Identify opportunities, Support strategic initiatives, Define data sources, Establish data sources, Contribute to data warehouse design, Contribute to data modeling, Investigate data anomalies, Resolve data anomalies, Identify root causes, Recommend solutions, Translate data, Provide recommendations", "teamCollaboration" : "Cross-functional teams; Stakeholder relationships; Data Engineering teams; Relevant stakeholders", "domainKnowledge" : "Business performance; Operational efficiency; Strategic decision-making; Agentic AI tools", "domainList" : [ "business-performance", "operational-efficiency", "strategic-decision-making", "agentic-ai-tools" ], "domainSpecificKnowledge" : [ "Business performance", "Operational efficiency", "Strategic decision-making", "Agentic AI tools" ], "toolProficiency" : [ "PostgreSQL", "MySQL", "PrestoSQL", "BigQuery", "Tableau" ], "communicationSkills" : "Written communication; Verbal communication", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Improve business performance; Improve operational efficiency; Support business growth", "qualificationsBasic" : "Bachelor's degree, 1 year experience, Proficiency in SQL, Basic statistics understanding, Collaborate effectively, Good communication skills", "qualificationsPreferred" : "Knowledge of Python, Experience with BigQuery, Experience with Tableau, Experience with analytics platforms, Experience with data visualization platforms", "workSiteFlexibility" : "Onsite", "rawDescription" : "About The Role You will be part of the Data Team, playing a key role in collecting, organizing, analyzing, and interpreting data to support strategic decision-making and reporting for both internal and external stakeholders. In this role, you will work with large datasets, apply statistical and analytical techniques, and generate actionable insights that help improve business performance and operational efficiency. What You Will Do Develop and maintain dashboards and reports that provide regular updates on key business metrics, enabling leadership teams to monitor company performance effectively. Collect, interpret, and analyze data based on stakeholder requirements, collaborating closely with other data analysts and presenting findings in a clear and concise manner. Conduct in-depth data analysis to investigate business challenges, identify opportunities, and support strategic initiatives. Partner with Data Engineering teams to define and establish internal and external data sources, including contributing to data warehouse design and data modeling for optimal data organization. Investigate and resolve data anomalies by collaborating with relevant stakeholders to identify root causes and recommend solutions. Translate complex data into actionable insights and recommendations that support business growth and operational improvements. What We Are Looking For Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related field. Up to 1 year of experience as a Data Analyst. Fresh graduates are encouraged to apply. Proficiency in at least one database query language (e.g., PostgreSQL, MySQL, PrestoSQL, or similar). Strong understanding of basic statistics and analytical concepts. Ability to collaborate effectively with cross-functional teams and manage stakeholder relationships. Good communication skills in English, both written and verbal. Strong commercial awareness, analytical thinking, problem-solving skills, and attention to detail. Curiosity and eagerness to explore and leverage Agentic AI tools to enhance data analysis and decision-making processes. Knowledge of Python is a plus. Experience with BigQuery, Tableau, or other analytics and data visualization platforms is an advantage", "summaryDescription" : "Data Analyst at StraitsX. Skills: Data analysis, Business intelligence, Data modeling. Develop dashboards. Maintain dashboards", "postedDate" : "2026-06-14T08:09:05.959", "createdAt" : "2026-06-14T08:09:05.959", "lastUpdated" : "2026-06-15T11:20:43.690", "ingestTimestamp" : "2026-06-14T08:09:05.959", "mongoId" : "6a2c6aa274d8ee00a090d02d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Analytical techniques", "Data collection", "Data interpretation", "Data analysis", "Data modeling", "Data warehousing", "Root cause analysis", "Business intelligence", "Business performance", "Operational efficiency", "Strategic decision-making", "Agentic AI tools", "PostgreSQL", "MySQL", "PrestoSQL", "BigQuery", "Tableau" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 1193.1357, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca05674d8ee00a09a1efc", "title" : "Data Analyst", "company" : "SAILY", "industry" : "NordVPN", "salary" : { "min" : 3200.0, "max" : 5900.0, "currency" : "EUR", "frequency" : "Yearly" }, "location" : "Vilnius", "locations" : [ "Vilnius", "Kaunas" ], "timestamp" : "2026-06-15T07:51:45.728", "fingerprint" : "34f2fc75b880e00c8a56a75d36afa582be281b9c647f5eaa7dfb03643ef3e3a0", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/nord-security/ebfcd5cd-df8e-4402-96ee-c37fbdebd661/application", "externalId" : "ebfcd5cd-df8e-4402-96ee-c37fbdebd661", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vilnius", "country" : "Lithuania", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "54.6870458,25.2829111" } ], "locationText" : "Vilnius, Lithuania", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid-Senior", "technicalSkills" : "SQL, Python, R, Google BigQuery, Google Analytics", "professionalSkills" : [ "Data manipulation", "Data visualization", "Customer segmentation", "Attribution modeling", "Funnel analysis" ], "hardSkillsList" : [ "Data analysis", "Statistical modeling", "Marketing attribution", "Customer behavior analysis", "Cohort analysis", "Segmentation strategies" ], "softSkillsList" : [ "Problem-solving" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Marketing attribution", "level" : "intermediate" }, { "name" : "Customer behavior analysis", "level" : "intermediate" }, { "name" : "Cohort analysis", "level" : "intermediate" }, { "name" : "Segmentation strategies", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" } ], "majorSkills" : "Data analysis, SQL, Python, Data visualization", "majorSkillsList" : [ "Data analysis", "SQL", "Python", "Data visualization" ], "coreResponsibilities" : "Define key metrics, Track key metrics, Optimize key metrics, Analyze users, Analyze product, Develop automated reports, Maintain automated reports, Conduct deep-dive analyses, Deliver presentations of insights, Support development of scalable analysis, Support maintenance of scalable analysis", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Telecommunications; SaaS; Digital product; Customer lifecycle; LTV; Churn; Retention; Cohort analysis; Attribution modeling", "domainList" : [ "telecommunications", "saas", "digital-product", "customer-lifecycle", "ltv", "churn", "retention", "cohort-analysis", "attribution-modeling" ], "domainSpecificKnowledge" : [ "Telecommunications", "SaaS", "Digital product", "Customer lifecycle", "LTV", "Churn", "Retention", "Cohort analysis", "Attribution modeling" ], "toolProficiency" : [ "Google BigQuery", "Looker", "Tableau", "Power BI", "Google Analytics" ], "communicationSkills" : "Data-driven insights presentation", "continuousLearning" : "Extensive training programs; Online training; Offline training; Mentorship; Career-switch opportunities", "problemSolvingSkills" : "Problem-solving mindset; Translate data into insights", "outcomesObjectives" : "Find new business opportunities; Uncover growth opportunities; Uncover optimization opportunities", "qualificationsBasic" : "2+ years of experience in a data analyst role, Solid proficiency in SQL, Python (or R) for data manipulation, Experience with data visualization tools, Proficiency in Google Analytics", "qualificationsPreferred" : "Experience with Google BigQuery, Familiarity with customer lifecycle frameworks, Experience in A/B testing analysis, Statistical modeling experience, Marketing attribution experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "AT SAILY, WE’RE REMOVING THE HASSLE FROM GETTING SECURE DATA PLANS WHILE TRAVELING. No roaming charges, no plastic SIM cards. Just fast, secure mobile data in 200+ countries. Join the team behind Lonely Planet’s #1 eSIM—built for explorers, powered by NordVPN. Your impact? Helping people stay securely connected, wherever they go. MAIN RESPONSIBILITIES - Define, track, and optimize key metrics and KPIs for product and marketing teams; - Analyze users and product to find new business opportunities and areas for improvement; - Develop and maintain automated reports and dashboards that provide visibility into customer behavior and product performance; - Conduct deep-dive analyses on customer cohorts, segmentation strategies, and touchpoints to uncover growth and optimization opportunities; - Deliver clear, compelling presentations of data-driven insights to cross-functional stakeholders; Support the development and maintenance that enable scalable analysis (e.g. user segmentation, attribution modeling, funnel analysis). CORE REQUIREMENTS - 2+ years of experience in a data analyst role, ideally in telecommunications, SaaS, or a digital product environment; - Solid proficiency in SQL (experience with Google BigQuery is a strong plus) and Python (or R) for data manipulation and analysis; - Hands-on experience working with CRM or marketing datasets (e.g., user lifecycle, campaign tracking, customer behavior); - Familiarity with customer lifecycle frameworks and techniques for LTV, churn, retention, and cohort analysis; - Strong experience with data visualization tools (e.g., Looker, Tableau, Power BI, or equivalent); - Proficiency in Google Analytics or other web/app analytics platforms; - Experience in A/B testing analysis, statistical modeling, or marketing attribution is a plus; - Excellent communication skills, a problem-solving mindset, and the ability to translate data into actionable insights for diverse audiences. What We Offer Innovate with industry leaders Work alongside global experts to build world-leading cybersecurity tools, impacting millions of users around the world. Learn & grow Boost your skills via our extensive training programs (online and offline) & other resources. Benefit from mentorship and career-switch opportunities to grow within the company. Work in a next-gen Cyber City office Thrive in our bustling office, featuring ergonomic workspaces, modern meeting rooms, engaging events, and specialty coffee to fuel your day. Hybrid work Enjoy the flexibility with 3 office days and working from home for the remaining 2. Work from anywhere Recharge with a change of scenery – choose work from any location when you feel a need to power your creativity and drive. Physical well-being Boost your health with free-of-charge 24/7 gym access, onsite and online workouts, and consultations led by in-house Physical Well-Being experts. Mental & emotional health Nurture your mind with free psychologist consultations, dedicated mental health events, and premium access to top-rated wellness apps like Calm, Headspace, and Mindletic. Premium healthcare Receive private health insurance giving you peace of mind for your health needs. Extra days off Enjoy additional vacation days off as you grow with us. Plus, get extra days for sick leave, special occasions, or parenting needs. Joyful moments – special treats Celebrate life’s big moments with special gifts from us on your birthday, anniversary, and other major events, such as weddings or the arrival of a new family member. Company events & team-building Experience iconic Nord Security celebrations, team-buildings, and knowledge-sharing events, nurturing bonds that fuel our success. Workation Embark on a legendary company getaway abroad, filled with exciting activities, live concerts, engaging workshops, and epic time together. Kindly refer to our Privacy Notice for Recruitment Candidates https://drive.google.com/file/d/1b2tV684_SYV1jQ4kuf91cnzrRBk3ef-5/view for comprehensive information regarding our data handling procedures throughout recruitment processes. We expect all candidates to provide accurate and complete information during the recruitment process. While limited use of AI tools to refine application materials is acceptable, candidates remain fully responsible for ensuring that their submissions reflect their own qualifications, skills, and experience. Any failure to do so may negatively affect participation in the recruitment process. If broader AI assistance is allowed for a particular role or stage, we’ll let you know in advance. By submitting your application, you acknowledge that it may be processed using automated tools for evaluation purposes. As part of our recruitment process, we may use an AI-based application review tool to help assess applications based on skills and experience relevant to the role. This technology is used to support - not replace - human decision-making, and every application is ultimately reviewed by a recruiter. If you would like more information about how AI is used in this process or wish to exercise your rights under applicable data privacy laws, please contact us at privacy@nordaccount.com. Should you prefer to opt out of the automated evaluation, please submit your application directly to career@nordsec.com.", "summaryDescription" : "Data Analyst at SAILY. Skills: Data analysis, SQL, Python, Data visualization. Define key metrics. 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"Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c5dc974d8ee00a08de8bf", "title" : "Data Analyst", "company" : "SkyePoint Decisions", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data Analyst in Arlington, United States, adjusted for senior seniority, cybersecurity industry, and company size." }, "location" : "1801 North Lynn St, Arlington, VA 22209", "locations" : [ "1801 North Lynn St", "Arlington", "VA 22209" ], "certifications" : [ "CASP+ CE", "CCNP Security", "CEH", "CFR", "CHFI", "CISA", "CISSP", "Cloud+", "CND", "CySA+", "GCED", "GCIH", "GICSP", "SSCP" ], "timestamp" : "2026-06-15T02:27:44.805", "fingerprint" : "fac6aacbd3ba16e624f2121bf17c496cdf730645d45be9129e9e17d53d281916", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/skyepointdecisionsinc/jobs/4274588009", "externalId" : "4274588009", "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Pandas, SQL, Power BI, Tableau, Splunk, Microsoft Defender, Palo Alto Networks, Databricks, PySpark", "professionalSkills" : [ "Cybersecurity analysis", "Operational monitoring", "Situational awareness", "Decision-making", "Business requirements translation", "Operational requirements translation", "Data-driven insights", "Cyber activity metrics", "Authentication trends metrics", "Phishing events metrics", "Process improvement" ], "hardSkillsList" : [ "Data analysis", "Data transformation", "Data extraction", "Data validation", "Data cleansing", "Data enrichment", "Exploratory data analysis", "Machine learning concepts", "Statistical analysis", "Trend analysis", "Anomaly detection" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data cleansing", "level" : "intermediate" }, { "name" : "Data enrichment", "level" : "intermediate" }, { "name" : "Exploratory data analysis", "level" : "intermediate" }, { "name" : "Machine learning concepts", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Trend analysis", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "Data analysis, Cybersecurity data, Reporting, Machine learning", "majorSkillsList" : [ "Data analysis", "Cybersecurity data", "Reporting", "Machine learning" ], "coreResponsibilities" : "Analyze cybersecurity datasets, Analyze operational datasets, Identify trends, Identify anomalies, Identify patterns, Develop dashboards, Maintain dashboards, Develop reports, Maintain reports, Develop visualizations, Maintain visualizations, Perform data extraction, Perform data validation, Perform data cleansing, Perform data transformation, Perform data enrichment, Support reporting workflows, Support analytics workflows, Automate manual processes, Improve data quality checks, Conduct exploratory data analysis, Support operational monitoring, Support situational awareness, Support decision-making, Translate business requirements, Translate operational requirements, Develop metrics, Maintain metrics, Identify reporting gaps, Identify data inconsistencies, Identify process improvement opportunities, Document data sources, Document reporting methodologies, Document business rules, Document analytical processes, Support ad hoc reporting requests, Support operational data analysis", "teamCollaboration" : "Collaborate with analysts; Collaborate with stakeholders", "domainKnowledge" : "Cybersecurity data; Network logs; Authentication data; Phishing activity; Threat telemetry; SIEM; EDR/XDR; Authentication logs; Network telemetry; Federal government clients; DoD environments; DoS environments", "domainList" : [ "cybersecurity-data", "network-logs", "authentication-data", "phishing-activity", "threat-telemetry", "siem", "edr-xdr", "authentication-logs", "network-telemetry", "federal-government-clients", "dod-environments", "dos-environments" ], "domainSpecificKnowledge" : [ "Cybersecurity data", "Network logs", "Authentication data", "Phishing activity", "Threat telemetry", "SIEM", "EDR/XDR", "Authentication logs", "Network telemetry", "Federal government clients", "DoD environments", "DoS environments" ], "toolProficiency" : [ "Power BI", "Tableau", "Python", "Pandas", "SQL", "Splunk", "Microsoft Defender", "Palo Alto Networks", "Databricks", "PySpark" ], "communicationSkills" : "Communicate findings", "documentationSkills" : "Document data sources; Document reporting methodologies; Document business rules; Document analytical processes", "problemSolvingSkills" : "Data-driven decision making", "specialRequirements" : "U. S. citizenship, Active Top Secret clearance, Obtain TS/SCI", "qualificationsBasic" : "Bachelor's degree, minimum 9 years experience, 4 Years with PhD, CASP+ CE certification, CCNP Security certification, CEH certification, CFR certification, CHFI certification, CISA certification, CISSP certification, Cloud+ certification, CND certification, CySA+ certification, GCED certification, GCIH certification, GICSP certification, SSCP certification, Python and Pandas experience, SQL query experience, Power BI dashboard experience, Tableau dashboard experience, cybersecurity data sources familiarity, supervised machine learning concepts, unsupervised machine learning concepts, communicate analytical findings, U. S. citizenship, Active Top Secret clearance", "qualificationsPreferred" : "Splunk experience, Microsoft Defender experience, Palo Alto Networks experience, Databricks familiarity, PySpark familiarity, large-scale data environments familiarity, anomaly detection experience, trend analysis experience, statistical analysis experience, machine learning applications experience, federal environment experience, DoD environment experience, DoS environment experience, automating reporting workflows experience, automating data processing workflows experience, AI tools familiarity, copilots familiarity, agent-based workflows familiarity", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "SkyePoint Decisions is a leading Cybersecurity Architecture and Engineering, Critical Infrastructure and Operations, and Applications Development and Maintenance IT service provider headquartered in Dulles, Virginia with operations across the U. S. We provide innovative enterprise-wide solutions as well as targeted services addressing the complex challenges faced by our federal government clients. Our focus is on enabling our clients to deliver their mission most efficiently and effectively – anytime, anywhere, securely. We combine technical expertise, mission awareness, and an empowered workforce to produce meaningful results. This is a contingent position based upon customer approval. SkyePoint Decisions is seeking a Data Analyst to support the Diplomatic Security Cyber Mission (DSCM) program providing leading cyber and technology security experience to enable innovative, effective, and secure business processes. This position is located in Arlington, VA and will be onsite 5 days a week. No hybrid/telework allowed. Responsibilities: Analyze cybersecurity and operational datasets (e.g., network logs, authentication data, phishing activity, threat telemetry) to identify trends, anomalies, and patterns. Develop and maintain dashboards, reports, and visualizations using Power BI, Tableau, or similar platforms to support operational and leadership reporting. Perform data extraction, validation, cleansing, transformation, and enrichment using Python (Pandas) and SQL. Support recurring reporting and analytics workflows by automating manual processes and improving data quality checks. Conduct exploratory data analysis to support operational monitoring, situational awareness, and decision-making. Collaborate with cybersecurity analysts and stakeholders to translate business and operational requirements into data-driven insights. Develop and maintain metrics related to cyber activity, authentication trends, phishing events, and external threat activity. Assist with identifying reporting gaps, data inconsistencies, and opportunities for process improvement. Document data sources, reporting methodologies, business rules, and analytical processes to support transparency and repeatability. Support ad hoc reporting requests and operational data analysis efforts. Required Qualifications: Bachelor's degree and minimum 9 years experience; 7 Years with Masters; 4 Years with PhD. An additional four (4) years of experience may be substituted in lieu of the bachelors degree requirement. Must possess or be able to obtain one of the following certification before start date. Continued certification required as a condition of employment: CASP+ CE, CCNP Security, CEH, CFR, CHFI, CISA, CISSP (or Associate), Cloud+, CND, CySA+, GCED, GCIH, GICSP, SSCP Experience using Python and Pandas for data analysis and transformation. Experience writing and troubleshooting SQL queries for data extraction and analysis. Experience building dashboards and reports using Power BI, Tableau, or similar visualization platforms. Familiarity with cybersecurity data sources such as SIEM, EDR/XDR, authentication logs, or network telemetry. Familiarity with supervised and unsupervised machine learning concepts and models. Ability to communicate analytical findings to technical and non-technical stakeholders. U. S. citizenship required. Active Top Secret security clearance with the ability to obtain TS/SCI. Preferred Qualifications: Experience working with Splunk, Microsoft Defender, Palo Alto Networks, or similar cybersecurity platforms. Familiarity with Databricks, PySpark, or large-scale data environments. Exposure to anomaly detection, trend analysis, statistical analysis, or machine learning applications. Experience supporting federal, DoD, or DoS environments. Experience automating recurring reporting or data processing workflows. Familiarity with leveraging AI tools, copilots, or basic agent-based workflows to automate or enhance data analysis, reporting, and operational tasks. Compensation: Salary Range: $100,000-$124,000 The SkyePoint Decisions salary range for this position is a general guideline only. It represents an estimated range for this position and is just one piece of our total compensation package. Salary at SkyePoint is determined by various factors, including but not limited to location, work schedule, the candidate’s combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability, market data and business considerations. In addition to a competitive salary, SkyePoint offers benefits including a certification incentive program, PTO, floating federal holiday options, several insurance options including HMO and High Deductible plans with Health Savings Accounts [HSAs], Flex Spending Accounts [FSAs], Full Dental Plans, Vision, ST/LT Disability, Life Insurance, and 401k matched. What We Can Offer You: At SkyePoint, we go B.I. G. (beginning in GRATITUDE) by recognizing all we have and giving back to our employees, families, and communities. It instills a positive mindset that permeates all we do. By beginning in gratitude, SkyePoint can continue to spread living in gratitude each day. Great Benefits: Several insurance options including HMO and High Deductible plans with Health Savings Accounts [HSAs], Flex Spending Accounts [FSAs], Full Dental Plans, ST/LT Disability, Life Insurance, floating federal holiday options, and 401k matched Certificate Incentive Program: To promote professional development, we recognize and reward employees who obtain new certifications aligned with business needs. Flexible Work Environment SkyePoint Decisions is an established ISO 9001:2015 and ISO/IEC 27001:2013 certified small business and appraised at CMMI Level 3 for Services and Development. We possess a common vision of excellence and foster a collaborative team culture built upon individual performance and accountability. We invest in our people and systems to create value for our clients. It is the SkyePoint Way. We are grateful for the opportunity to work with exceptional people and give back to the communities we serve. Our employees value the flexibility at SkyePoint that allows them to balance quality work and their personal lives. SkyePoint Decisions is a participating E-Verify Employer. U. S. Citizenship is required for most positions. Equal Opportunity Employer/Veterans/Disabled. CCPA Disclosure Notice Here", "summaryDescription" : "Data Analyst at SkyePoint Decisions. Skills: Data analysis, Cybersecurity data, Reporting, Machine learning. Analyze cybersecurity datasets. Analyze operational datasets", "postedDate" : "2026-06-12T21:35:11.380", "createdAt" : "2026-06-12T21:35:11.380", "lastUpdated" : "2026-06-15T02:27:44.805", "ingestTimestamp" : "2026-06-12T21:35:11.380", "mongoId" : "6a2c5dc974d8ee00a08de8bf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data transformation", "Data extraction", "Data validation", "Data cleansing", "Data enrichment", "Exploratory data analysis", "Machine learning concepts", "Statistical analysis", "Trend analysis", "Anomaly detection", "Critical thinking", "Cybersecurity data", "Reporting", "Machine learning", "Cybersecurity analysis", "Operational monitoring", "Situational awareness", "Decision-making", "Business requirements translation", "Operational requirements translation", "Data-driven insights", "Cyber activity metrics", "Authentication trends metrics", "Phishing events metrics", "Process improvement", "Network logs", "Authentication data", "Phishing activity", "Threat telemetry", "SIEM", "EDR/XDR", "Authentication logs", "Network telemetry", "Federal government clients", "DoD environments", "DoS environments", "CASP+ CE", "CCNP Security", "CEH", "CFR", "CHFI", "CISA", "CISSP", "Cloud+", "CND", "CySA+", "GCED", "GCIH", "GICSP", "SSCP", "Power BI", "Tableau", "Python", "Pandas", "SQL", "Splunk", "Microsoft Defender", "Palo Alto Networks", "Databricks", "PySpark" ], "skillCount" : 61, "jobCategory" : "other", "jobSubcategory" : "billable-", "dataQualityScore" : 0.8888889, "_score" : 1186.7897, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c94c374d8ee00a098b815", "title" : "Data Analyst", "company" : "OpenNet", "salary" : { "min" : 750000.0, "max" : 1100000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Data Analyst in Taiwan, adjusted for mid-level experience and the technology industry." }, "location" : "Taiwan", "locations" : [ "Taiwan" ], "timestamp" : "2026-06-15T06:21:54.183", "fingerprint" : "03c56e0c500409a120c28d4750d6a6d79898af2df3f0c3fc3b0d0df21030bab3", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/opennet/jobs/4854753101", "externalId" : "4854753101", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Taiwan", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Taiwan", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "MySQL, Python, Airflow, AWS, Redshift, Linux", "professionalSkills" : [ "Data analysis", "Reporting", "Data management", "Architecture design" ], "hardSkillsList" : [ "SQL", "ETL", "Data warehousing", "Relational databases" ], "softSkillsList" : [ "Self-driven", "Analytical skills", "Communication skills" ], "hardSkills" : [ { "name" : "SQL", "level" : "intermediate" }, { "name" : "ETL", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Relational databases", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Self-driven" }, { "name" : "Analytical skills" }, { "name" : "Communication skills" } ], "majorSkills" : "Data analysis, SQL, ETL, BI tools", "majorSkillsList" : [ "Data analysis", "SQL", "ETL", "BI tools" ], "domainKnowledge" : "Sports; Gaming", "domainList" : [ "sports", "gaming" ], "domainSpecificKnowledge" : [ "Sports", "Gaming" ], "toolProficiency" : [ "Metabase" ], "communicationSkills" : "Client reporting; Shareholder reporting", "problemSolvingSkills" : "Analytical skills", "outcomesObjectives" : "Drive growth of core products", "qualificationsBasic" : "2+ years experience, Excellent SQL, Excellent BI tools, Excellent data visualization tools, Familiarity with Python, Familiarity with ETL, Familiarity with Airflow, Understanding of relational databases, Understanding of data warehouse", "qualificationsPreferred" : "Python experience, Airflow experience, AWS experience, Metabase experience, Redshift experience, Linux experience, Gaming industry knowledge, Machine learning experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "What you'll be doing Set up and execute extract, transformation, and load (ETL) functions to build a data pipeline Extraction and analysis of large data sets from MySQL Performance tuning for current and newly added queries to the databases, ensuring the database resources are fully utilized Delivering clear analysis and reporting of core business metrics to shareholders Creation and management of reports and dashboards Data management Enhance and optimize existing reporting processes Ad hoc analysis and reporting to clients and shareholders Aid in reconfiguring existing architecture and database structure to address our shareholder's evolving needs Daily maintenance and monitoring of all BI-related databases and dashboards, including proficient handling of emergencies Providing actionable insight to drive the growth of core products Our Stack MySQL (Must) Python (Good to have) AirFlow (Good to have) AWS (Good to have) Metabase (Good to have) Redshift (Good to have) Linux (Good to have) What you'll bring 2+ years experience in a similar data-driven role Excellent working knowledge of SQL Excellent working knowledge of BI and data visualization tools Familiarity with Python Familiarity with ETL data pipeline Familiarity with Airflow Understanding of principles of relational databases and data warehouse Strong understanding of sports and gaming will be beneficial Proactive and self-driven with excellent analytical skills Ability to thrive in a fast paced and dynamic environment Great communication skills Relevant knowledge or experience in the gaming industry Nice to have hands-on experience with machine learning If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.", "summaryDescription" : "Data Analyst at OpenNet. Skills: Data analysis, SQL, ETL, BI tools", "postedDate" : "2026-06-13T21:28:36.695", "createdAt" : "2026-06-13T21:28:36.695", "lastUpdated" : "2026-06-15T06:21:54.183", "ingestTimestamp" : "2026-06-13T21:28:36.695", "mongoId" : "6a2c94c374d8ee00a098b815", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "SQL", "ETL", "Data warehousing", "Relational databases", "Self-driven", "Analytical skills", "Communication skills", "Data analysis", "BI tools", "Reporting", "Data management", "Architecture design", "Sports", "Gaming", "Metabase" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 1186.3478, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c692474d8ee00a0906343", "title" : "Data Analyst", "company" : "Constructor", "industry" : "Engineering", "salary" : { "min" : 80000.0, "max" : 120000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote - Brazil", "locations" : [ "Remote - Brazil" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T10:26:08.341", "fingerprint" : "6bf469cc9bf600f8c5fe68f5ec7e74cc0fc195b3f65ce77ee89bd9f6edf3bf07", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/constructor/05f8cdf5-2203-4ec0-877e-2668be462716/application", "externalId" : "05f8cdf5-2203-4ec0-877e-2668be462716", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Brazil", "continent" : "sa", "workMode" : "remote" } ], "locationText" : "Brazil", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, R, Spark, Snowflake, BigQuery, Redshift, Databricks, Dbt, Airflow, Tableau, Power BI, Looker, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Statistical modeling", "Machine learning algorithms", "Data warehousing", "ETL processes", "Data visualization", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, Machine Learning, Business Intelligence, Data Engineering", "majorSkillsList" : [ "Data Science", "Machine Learning", "Business Intelligence", "Data Engineering" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and deploy machine learning models, Design and implement BI dashboards and reports, Perform statistical analysis and A/B testing, Collaborate with stakeholders to understand data needs, Clean and transform data for analysis, Monitor and optimize data systems, Stay up-to-date with industry trends and technologies", "teamCollaboration" : "Cross-functional teams; Stakeholder communication", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "problemSolvingSkills" : "Root cause analysis; Analytical thinking", "qualificationsBasic" : "Bachelor's degree in Statistics, Computer Science, Mathematics, or a related quantitative field, 5+ years of experience in data analysis or a related role, Proficiency in SQL, Experience with Python or R for data analysis", "qualificationsPreferred" : "Master's or PhD in a quantitative field, Experience with cloud data platforms (Snowflake, BigQuery, Redshift), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Cloud platform certifications (GCP, AWS, Azure)", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT US Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so. Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco. We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things. Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today. ABOUT THE ROLE We are hiring Data Analysts to work across multiple teams at Constructor, including Data Science Integrations, Ranking, Recommendations, and Personalization. In this role, you will work at the intersection of data, product, and machine learning. You will analyze user behavior, design and evaluate experiments, define metrics, and generate insights that directly influence product decisions and business outcomes. You will collaborate closely with engineers, data scientists, product managers, and business stakeholders, helping translate data into actionable improvements across our platform. WHAT YOU WILL DO - Analyze user behavior and large-scale datasets to identify patterns, issues, and opportunities for improvement - Design, run, and analyze A/B tests to evaluate product changes and measure impact on key business metrics - Define and validate metrics that reflect both user experience and business outcomes - Build dashboards, reports, and data tools to support decision-making across teams - Partner with customers, engineering, product, and business teams to translate insights into product improvements - Work with SQL, Python, and distributed data systems to process and analyze large volumes of data REQUIREMENTS We are looking for strong analytical thinkers who are comfortable working with data to drive product and business decisions. Core skills: - Strong analytical skills and experience solving business problems using data - Solid knowledge of SQL and experience working with large datasets - Experience with Python for data analysis (pandas, NumPy, visualization libraries) - Understanding of A/B testing and statistical concepts Product & data understanding: - Understanding of machine learning pipelines, training data quality, and model evaluation - Familiarity with ranking, recommendations, or search relevance is a plus - Experience defining metrics, building metric trees, and analyzing product funnels Communication & ownership: - Ability to communicate insights clearly and translate business needs into analytical solutions - Comfortable working with multiple stakeholders in a fast-paced environment Preferred Skills: - Experience in a customer-facing role - Experience working in e-commerce or product analytics BENEFITS - \uD83E\uDDE0 Work with smart and empathetic people who will help you grow and make a meaningful impact. - \uD83C\uDF89 Regular team offsite events to connect and collaborate. - \uD83C\uDF0E Fully remote team - choose where you live. - \uD83C\uDFDD️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year. - \uD83D\uDECB️ Work from home stipend! We want you to have the resources you need to set up your home office. - \uD83D\uDCBB Apple laptops provided for new employees. - \uD83E\uDDD1‍\uD83C\uDF93 Training and development budget for every employee, refreshed each year. - \uD83D\uDC6A Maternity & Paternity leave for qualified employees. - \uD83D\uDCB5 Base salary: $80k–$120K USD, depending on knowledge, skills, experience, and interview results - \uD83D\uDCC8 Stock options - offered in addition to the base salary DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.", "summaryDescription" : "Data Analyst at Constructor. Skills: Data Science, Machine Learning, Business Intelligence, Data Engineering. Develop and maintain data pipelines. Build and deploy machine learning models", "createdAt" : "2026-06-14T17:42:50.180", "lastUpdated" : "2026-06-15T10:26:08.341", "ingestTimestamp" : "2026-06-14T17:42:50.180", "mongoId" : "6a2c692474d8ee00a0906343", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 80000, "salaryAnnualMax" : 120000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Statistical modeling", "Machine learning algorithms", "Data warehousing", "ETL processes", "Data visualization", "A/B testing", "Causal inference", "Data Science", "Machine Learning", "Business Intelligence", "Data Engineering", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Analytics engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "skillCount" : 50, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 1173.5714, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "68dd1eeace260f92cbea0c8f", "title" : "Data Analyst", "company" : "Q-Express Documents Transport", "industry" : "Fulfillment Operations Management, Administrative Support, fulfillment ops", "salary" : { "min" : 140000.0, "max" : 220000.0, "currency" : "AED", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data Analyst in Dubai, UAE, adjusted for mid-seniority and logistics industry." }, "location" : "Dubai, ARE", "locations" : [ "Dubai, ARE" ], "timestamp" : "2026-06-15T01:11:41.969", "fingerprint" : "92000e5c3fe77dae7214eba21e535d460a343918e9b2e2f99ecff5f906856aa3", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3098726/apply", "externalId" : "9d42d9dd-5481-493f-b022-e06cfe2b3db1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dubai", "country" : "United Arab Emirates", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "25.0742823,55.1885387" } ], "locationText" : "Dubai, United Arab Emirates", "employmentType" : "FULL_TIME", "technicalSkills" : "AWS, S3, Lambda, Glue, Redshift, EMR, Python, Pandas, Numpy, Scikit-learn, SQL, ETL", "professionalSkills" : [ "Data analytics", "Business intelligence", "Data management", "Quality defects", "Inventory adjustments" ], "hardSkillsList" : [ "Data analysis", "Data reporting", "Automation solution", "Data trends" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data reporting", "level" : "intermediate" }, { "name" : "Automation solution", "level" : "intermediate" }, { "name" : "Data trends", "level" : "intermediate" } ], "majorSkills" : "Data analysis, SQL, Python, AWS", "majorSkillsList" : [ "Data analysis", "SQL", "Python", "AWS" ], "coreResponsibilities" : "Develop data collection processes, Develop data management systems, Design queries, Compile data, Generate reports in SQL, Chart data for reporting, Graph data for reporting, Develop dashboard for business decision making, Develop dashboard for dive deep activities, Develop automation solution for analysis, Prepare reports for business reviews, Publish reports for business reviews, Support leadership team to interpret data trends, Research defect trends, Present analysis in standard reports, Support ICQA & Learning Team Projects", "teamCollaboration" : "ICQA departments; Learning departments; Finance departments; Leadership team", "projectManagementSkills" : [ "Project planning", "Project execution" ], "domainKnowledge" : "Quality defects; Inventory adjustments", "domainList" : [ "quality-defects", "inventory-adjustments" ], "domainSpecificKnowledge" : [ "Quality defects", "Inventory adjustments" ], "toolProficiency" : [ "Amazon Quicksight" ], "communicationSkills" : "Clear communication; Present analysis", "problemSolvingSkills" : "Problem-solving; Analytical thinking; Root cause analysis", "outcomesObjectives" : "Provide vital insights; Support business decision making; Support dive deep activities", "qualificationsBasic" : "Problem-solving and analytical thinking, Clear communication with stakeholders, Project planning and execution, Ability to translate business needs into technical solutions, Hands-on experience with AWS core services, Python data stack, Advanced SQL, ETL pipeline design and implementation, Data lake/warehouse architecture", "qualificationsPreferred" : "Experience with machine learning projects, Model development and deployment", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is a highly data driven company highly obsessive about metrics. The Data analysts play a crucial role in creating unique reports from data available in multiple locations and providing vital insights into the root cause of quality defects and inventory adjustments. ICQA Data Analyst will work closely with the ICQA, Learning and Finance departments to provide data and analytical support for the business. Key job responsibilities • Development of data collection processes and data management systems • Designing of queries, compiling of data, and generation of reports in SQL • Charting and graphing of data for reporting purposes • Developing dashboard (Amazon Quicksight) to support business decision making and dive deep activities • Develop automation solution for analysis (python) • Prepare and publish reports for business reviews (Weekly Business Review, Quarterly Business Review, Project Updates) • Supporting leadership team how to interpret data trends as needed • In depth research of defect trends • Present analysis in easily digestible standard reports • Support to ICQA & Learning Team Projects Basic Qualifications: • Problem-solving and analytical thinking • Clear communication with stakeholders • Project planning and execution • Ability to translate business needs into technical solutions • Hands-on experience with AWS core services (S3, Lambda, Glue, Redshift, EMR), Python data stack (pandas, numpy, scikit-learn), advanced SQL, ETL pipeline design and implementation, and data lake/warehouse architecture Preferred Qualifications: • Experience with machine learning projects including model development and deployment 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 Analyst at Q-Express Documents Transport. Skills: Data analysis, SQL, Python, AWS. Develop data collection processes. Develop data management systems", "postedDate" : "2026-06-13T09:53:12.873", "createdAt" : "2026-06-13T09:53:12.873", "lastUpdated" : "2026-06-15T01:11:41.969", "ingestTimestamp" : "2026-06-13T09:53:12.873", "mongoId" : "68dd1eeace260f92cbea0c8f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3098726/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data reporting", "Automation solution", "Data trends", "SQL", "Python", "AWS", "Data analytics", "Business intelligence", "Data management", "Quality defects", "Inventory adjustments", "Project planning", "Project execution", "Amazon Quicksight" ], "skillCount" : 15, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 1172.1624, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c5ead74d8ee00a08e5d41", "title" : "Senior Marketing Data Analyst", "company" : "HelloFresh", "industry" : "E-commerce", "salary" : { "min" : 155000.0, "max" : 230000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Senior Marketing Data Analyst in Warsaw, Poland, adjusted for seniority and the e-commerce industry." }, "location" : "Warszawa, Masovian Voivodeship, Poland", "locations" : [ "Warszawa", "Masovian Voivodeship", "Poland" ], "timestamp" : "2026-06-15T01:41:47.716", "fingerprint" : "660c12556f4fac24652ecd05a6f676cbecfea1fcb29d1fa3457bb35b24568be3", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.hellofresh.com/global/en/job/8002500?gh_jid=8002500", "externalId" : "8002500", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Warszawa", "state" : "Masovian Voivodeship", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.2319581,21.0067249" } ], "locationText" : "Warszawa, Masovian Voivodeship, Poland", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "domainKnowledge" : "Marketing and Growth metrics; Subscription business", "domainList" : [ "marketing-and-growth-metrics", "subscription-business" ], "domainSpecificKnowledge" : [ "Marketing and Growth metrics", "Subscription business" ], "workSiteFlexibility" : "Onsite", "rawDescription" : "Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month. Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech. HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end. By working with our Warsaw office, you will help shape scalable, data-driven products used across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future. The role As a Senior Marketing Data Analyst in our Global Marketing Analytics organisation, you will play a pivotal role in driving data-informed decision-making at HelloFresh. Based in our Berlin Headquarters, you’ll join the Market Insights team - an internal analytics function supporting senior leadership across 15+ HelloFresh markets spanning 3 continents. You will turn data into strategic recommendations, challenge the status quo, and directly shape how our global brands grow and operate. What You’ll Do Act as a trusted advisor to Global Marketing leadership: understand their challenges, frame analytical problem statements, and translate insights into actionable strategic recommendations Measure, benchmark, and monitor brand and market performance, proactively identifying opportunities to improve key Marketing and business KPIs Influence and optimize Marketing budgets and planning processes by challenging assumptions and ensuring data-driven decision making Lead high-impact analytical projects, often partnering directly with senior stakeholders to enhance performance frameworks, forecasting, growth strategies, and reporting ecosystems Build and enhance reporting and visualization assets that support day-to-day decision-making and strengthen global performance oversight Collaborate with and mentor analysts within the team, fostering a high-performing and supportive analytics community Streamline analytical processes and workflows, championing scalable and automated solutions What You’ll Bring A motivated, collaborative mindset with strong team-working skills and a passion for solving complex business problems 5+ years of experience in Marketing Analytics, Finance Analytics, or a related quantitative field—ideally in a fast-paced B2C or subscription business Strong understanding of Marketing and Growth metrics, and how they connect to overall business performance A results-oriented and structured approach, able to turn vague or ambiguous business questions into clear analytical frameworks and insights Solid technical skills, including: Spreadsheets and SQL (required) Tableau or a similar visualisation tool (e. g. Looker, PowerBI) Python (a plus) Proven project ownership and stakeholder management abilities, especially in senior or cross-functional settings Excellent communication skills in English, with the ability to explain analytical concepts to non-technical audiences and influence decision-making What we offer: The Toppings Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing. Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations. Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup. End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability. Access to workspace at Warsaw Centre Point. The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit). Are you up for the challenge? Please submit your complete application below including your salary expectations and earliest starting date.", "summaryDescription" : "Senior Marketing Data Analyst at HelloFresh", "postedDate" : "2026-06-12T22:20:32.553", "createdAt" : "2026-06-12T22:20:32.553", "lastUpdated" : "2026-06-15T01:41:47.716", "ingestTimestamp" : "2026-06-12T22:20:32.553", "mongoId" : "6a2c5ead74d8ee00a08e5d41", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Marketing and Growth metrics", "Subscription business" ], "skillCount" : 2, "jobCategory" : "marketing", "jobSubcategory" : "marketing", "dataQualityScore" : 0.8888889, "_score" : 1167.7766, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-commerce" }, { "id" : "6a2c8d5a74d8ee00a0978b47", "title" : "Data Analyst", "company" : "Tapcheck", "industry" : "Customer Success", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Analyst in the US FinTech industry, adjusted for remote work." }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "timestamp" : "2026-06-15T09:43:51.847", "fingerprint" : "351386d473761a97a3bd8a102d5e03c4bc83d5f58273bb57d321667d84761fda", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/tapcheck/fcaa9d72-f379-44ca-964a-86616be61b03/application", "externalId" : "fcaa9d72-f379-44ca-964a-86616be61b03", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Snowflake, BI", "professionalSkills" : [ "Metric definition", "Data storytelling", "Business impact analysis", "Problem scoping", "Trend analysis", "Metric alignment", "Ad hoc analysis" ], "hardSkillsList" : [ "SQL optimization", "Data modeling", "Query pattern analysis" ], "hardSkills" : [ { "name" : "SQL optimization", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Query pattern analysis", "level" : "intermediate" } ], "majorSkills" : "Business intelligence, Data analysis, Metric ownership", "majorSkillsList" : [ "Business intelligence", "Data analysis", "Metric ownership" ], "coreResponsibilities" : "Maintain KPI standards, Document metric calculation, Keep definitions current, Flag target adjustments, Build dashboards, Maintain dashboards, Maintain semantic layer, Maintain metric definitions, Produce formal analyses, Recommend on volume trends, Recommend on resolution efficiency, Recommend on CSAT, Recommend on contact rate, Recommend on cost, Frame findings in business impact, Identify anomalies, Identify performance gaps, Bring recommended action, Track response to resolution, Consult on SQL standards, Consult on Snowflake standards, Consult on BI standards, Ensure modeling approach matches standards, Ensure query patterns match standards, Ensure tooling matches standards, Lead metric alignment conversations, Represent Support's interests, Keep shared definitions from drifting, Triage ad hoc requests, Scope ad hoc requests, Exercise judgment on urgency, Exercise judgment on feasibility, Identify automation opportunities, Identify AI tooling opportunities, Quantify potential impact, Surface VOC signals, Surface customer experience signals, Produce analysis for staffing recommendations, Produce analysis for investment recommendations", "teamCollaboration" : "Support Operations; Support leadership; Data Engineering; Product teams; Enablement team; Reputation Manager function", "domainKnowledge" : "Customer Support; Fintech; SaaS; Cloud data warehouses; Support platforms", "domainList" : [ "customer-support", "fintech", "saas", "cloud-data-warehouses", "support-platforms" ], "domainSpecificKnowledge" : [ "Customer Support", "Fintech", "SaaS", "Cloud data warehouses", "Support platforms" ], "toolProficiency" : [ "Omni Analytics", "Looker", "Tableau", "Power BI", "Zendesk" ], "communicationSkills" : "Complex findings communication; Executive presentations", "documentationSkills" : "Metric documentation", "innovationCreativity" : "Identify automation opportunities; Identify AI tooling opportunities", "problemSolvingSkills" : "Root cause analysis; Performance gap analysis; Anomaly detection", "specialRequirements" : "In-office 3 days/week (Plano, TX), Must reside in specific states", "outcomesObjectives" : "Ensure clear performance picture; Drive real decisions; Quantify automation impact; Inform build decisions", "qualificationsBasic" : "2-4 years data analyst experience, SQL proficiency, Hands-on BI tool experience", "qualificationsPreferred" : "Experience in fintech, Experience in SaaS, Experience in customer support, Familiarity with Snowflake, Exposure to support platforms, Experience with dbt", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About the job: You will own the analytics function for Tapcheck's Customer Support organization. Your job is to make sure Support leadership always has a clear, credible picture of how the team is performing and what the data says they should do about it. That means maintaining the standards for what gets measured, keeping the dashboards and frameworks that surface those metrics accurate, and producing the analyses that drive real decisions on strategy, investment, and priorities. The right candidate is comfortable working with ambiguity, can scope their own problems, and knows the difference between producing a report and driving a decision. This role offers both a remote and hybrid option. Employees located within 30 miles of Plano TX, are required to be in-office Tuesday through Thursday each week. If remote, Ideally, candidates will sit in the following states: AL, AZ, CA, CO, DC, DE, FL, GA, ID, IL, LA, MI, MA, MO, NC, NH, NJ, NV, NY, PA, OR, OH, RI, SC, TX, UT, VA, WA, WI. What You’ll Do: - Maintain the KPI standards for Customer Support: document how each metric is calculated and interpreted, keep definitions current across data platforms, and flag to leadership when targets may need adjustment. - Build and maintain dashboards in Omni Analytics (our BI platform) that serve analyst, manager, and leadership audiences; maintain the semantic layer and metric definitions so every team measures the same things the same way. - Produce formal analyses and recommendations on volume trends, resolution efficiency, CSAT, contact rate, and cost performance; frame findings in terms of business impact, not just numbers. - Identify anomalies and performance gaps in Support data; bring a recommended course of action to leadership rather than a flag, and track the response through to resolution. - Consult on SQL, Snowflake, and BI standards used for Support reporting; ensure Support modeling approach, query patterns, and tooling match organizational standards. - Lead metric alignment conversations with Data, Product, and Engineering; represent Support's analytical interests and keep shared definitions from drifting. - Triage and scope ad hoc analysis requests from across the organization; exercise judgment on urgency, feasibility, and which questions are worth answering. Where your work starts and stops: - You own the business analytics layer: maintaining KPI standards, keeping dashboards accurate, and producing performance trend analysis. You hand off data pipeline engineering, schema changes, and infrastructure work to Data Engineering. - You identify where automation or AI tooling could reduce Support volume and quantify the potential impact. You hand off the design, build, and deployment of those tools to the Enablement team. - You surface VOC and customer experience signals that live in Support's data. You hand off VOC program management and external reputation response to the Reputation Manager function. - You produce the analysis behind staffing and investment recommendations. You do not make headcount decisions or approve spend; those decisions belong to Support leadership. - You do not own QA testing, regression validation, or system performance auditing. Those responsibilities sit with Engineering and QA. Who you'll work with: - Support Operations and Support leadership: your primary stakeholders for analysis requests, metric sign-off, and performance reviews. - Data Engineering: shared pipeline standards, Snowflake modeling, and Omni semantic layer alignment. - Product: translating Support trends into product signals and prioritization input. - Enablement: automation and AI decisions that reduce support contact volume, where your quantification informs their build decisions. What You’ll Bring: Requirements - 2 to 4 years in a data analyst or business intelligence role where you owned metrics end-to-end: definition, calculation, documentation, and storytelling. - SQL proficiency including CTEs, window functions, and query optimization; you can get to an answer without waiting on someone else to pull data for you. - Hands-on experience building and managing dashboards in a modern BI tool (Looker, Tableau, Power BI, or similar). - Demonstrated ability to communicate complex findings to non-technical audiences; leadership should leave your presentations knowing what to do, not just what happened. - Comfortable scoping your own work: you can take an ambiguous business question, decide on methodology, and drive a recommendation without close direction. Preferred - Experience in fintech, SaaS, or customer support operations environments. - Familiarity with Snowflake or similar cloud data warehouses. - Exposure to support platforms such as Zendesk and their underlying data structures. - Experience with dbt or similar data transformation frameworks. Who this role is not for: - Someone who needs a fully built metric framework before they can start measuring anything. - Someone who wants to own automation, AI, or chatbot development; that work sits with a different team and will not move here. - Someone who treats every data request as equally urgent and needs a manager to triage their queue. - Someone whose default response to a business question is building a new dashboard rather than answering the question. At RE time, Tapcheck does not provide sponsorship for employment-based visas (e.g., H-b, L-1, TN, etc.). Therefore, candidates must already possess the right to work in the United States without the need for employment-based visa sponsorship now or in the future. About Tapcheck Tapcheck is a digital platform offering an easy and convenient way to access on-demand earnings early. Available at no cost to employers, our app-based on-demand pay solution helps relieve the financial stress that many employees experience on a daily basis. The Tapcheck team is passionate about our mission to improve financial wellness and boost business productivity. By giving workers the ability to transfer wages they've earned directly to their bank account or pay card without waiting for payday, Tapcheck eliminates the need for high-interest payday loans or employer-funded cash advances. How We Get Things Done Our core values act as a steadfast guide, directing our decisions and anchoring our actions. We consider these values non-negotiable, especially when it comes to our hiring process. - Humility: We believe in the power of humility. We value team players who are down-to-earth, respectful, and open to learning from others. Our employees approach challenges with a positive attitude, acknowledging their strengths and weaknesses while celebrating the achievements of their colleagues. - Grit: We admire individuals with grit – those who demonstrate unwavering determination and resilience in the face of obstacles. At Tapcheck, we take pride in overcoming challenges together, pushing the boundaries of what is possible, and embracing failure as an opportunity for growth. - Raising the Bar: Continuous improvement is at the heart of our culture. We are committed to setting high standards and pushing ourselves to exceed them. We seek employees who are innovative and strive for excellence, constantly seeking ways to enhance our products, services, and processes. - Striving for Growth: We foster an environment that encourages personal and professional development. Our employees are driven to learn, grow, and adapt to new circumstances. We support individuals who take initiative, seek out new challenges, and actively contribute to their own growth and the growth of the company. Why Join Tapcheck? - Mission that matters. We're changing how Americans access their pay — giving workers financial flexibility without the debt trap of payday loans. - Flexible PTO. No accrual caps, no counting days. Take the time you need. - 10 paid holidays. Including both Christmas Eve and New Year's Eve. - Comprehensive health coverage. Medical through Blue Cross Blue Shield of Texas (PPO and HDHP options, HSA-eligible with employer contribution), plus dental and vision through MetLife. - FSA, Basic Life/AD&D, and an Employee Assistance Program (EAP). - 401(k) with a 100% match up to 3% of your salary. Through Mutual of America. Eligible after 90 days. - A team that lives its values. Humility, grit, and a genuine drive to raise the bar — every day. Compensation Compensation at Tapcheck is competitive and benchmarked to your role and the market. We're committed to a total rewards package that reflects your impact. Full details are shared as part of our hiring process. Equal Employment Opportunity Policy Tapcheck, Inc. 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.", "summaryDescription" : "Data Analyst at Tapcheck. Skills: Business intelligence, Data analysis, Metric ownership. Maintain KPI standards. 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"llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2abe9674d8ee00a06edaa1", "title" : "Data Analyst Senior", "industry" : "Healthcare", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Analyst in Royal Oak, United States, adjusted for the healthcare industry and full-time employment." }, "location" : "Royal Oak, MI", "locations" : [ "Royal Oak, MI", "United States of America" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified" ], "timestamp" : "2026-06-14T23:33:41.362", "fingerprint" : "9ca53149c0ede2bd620511ccc91ec12b09b4bca934dcc87a8fec71526fe8523e", "source" : "workday", "language" : "en", "applyUrl" : "https://spectrumhealth.wd5.myworkdayjobs.com/CorewellHealthCareers/job/Royal-Oak-MI/Data-Analyst-Senior_R216325", "externalId" : "R216325", "industryFunction" : { }, 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analysis", "Database development", "Data manipulation", "Report development", "Data accuracy", "Data quality", "Process improvement" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Database development", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Report development", "level" : "intermediate" }, { "name" : "Data accuracy", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Reporting, Data quality", "majorSkillsList" : [ "Data analysis", "Reporting", "Data quality" ], "coreResponsibilities" : "Manage software/data needs, Manage technical services, Perform initial analysis of data, Develop customized reports, Facilitate data interpretation, Provide education support, Collect data, Compile data, Prepare data for analysis, Develop databases, Track data, Manipulate data output, Develop unique reports, Meet special requests, Review reports, Review data, Determine accuracy, Assess educational needs, Coordinate teaching strategies, Implement teaching strategies, Make referrals, Develop policies, Develop procedures, Develop protocols, Determine programming needs, Determine interface needs, Prioritize requests, Expedite requests, Provide clear analysis, Provide insightful analysis, Tell a story with data, Help leaders make decisions, Use communication methods, Provide visual design expertise, Create easy-to-understand reports, Create dashboards, Deliver insights, Gather business needs, Document business needs, Translate needs into technical solution, Create data sources, Create metrics, Create automation, Use reporting tools, Use databases, Present technical solution, Monitor processes, Monitor services, Ensure data accuracy, Ensure data quality, Ensure effectiveness, Participate in discovery sessions, Find data discrepancies, Identify issues, Engage in process improvement, Engage in quality improvement, Optimize data quality, Optimize data transparency, Support data development, Support analytics, Support quality improvement, Guide specialists", "teamCollaboration" : "Digital Services staff; IS department staff; Health care team; Operational leadership; Data Governance team", "domainKnowledge" : "Facility Operations; Computer management systems; Workflows in business areas", "domainList" : [ "facility-operations", "computer-management-systems", "workflows-in-business-areas" ], "domainSpecificKnowledge" : [ "Facility Operations", "Computer management systems", "Workflows in business areas" ], "toolProficiency" : [ "PowerPoint", "Word Documents", "Dashboards" ], "communicationSkills" : "Executive presentations; Technical documentation; Client meetings", "documentationSkills" : "Technical writing; API documentation; Architecture diagrams", "problemSolvingSkills" : "Root cause analysis; Debugging; Data-driven decision making; Troubleshooting", "qualificationsBasic" : "Bachelor's Degree or equivalent, 5 years of relevant experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Job Summary Maintains accountability for managing software/data needs and technical services for the Facility Operations department in collaboration with the Digital Services (DS) staff. Performs the initial analysis of data, develops customized reports to facilitate meaningful interpretation of the data and provides education support to users. ## Essential Functions * Collects, compiles, and prepares data for analysis and develops databases that facilitate tracking of data. Manipulates data output to develop unique reports to meet special requests and reviews reports / data to determine accuracy. * Assesses the educational needs of others related to area of accountability and coordinates/implements appropriate teaching strategies or makes appropriate referrals. Develops and implements policies, procedures and protocols related to computer management systems. * Communicates, collaborates, and acts as a team player with others in order to ensure continuity and coordination of services. Fosters open / direct communication and facilitates group processes with others in the department. Serves as a consultant to staff, software development companies and other members of the health care team regarding computer issues. Works hand in hand with IS department staff to accomplish corporate goals as it relates to technology projects. * Determines programming/interface needs within the department/service to DS programming staff and prioritizes requests in order to expedite appropriate requests. * Provides clear, insightful analysis that tells a story and helps leaders make better decisions, using a variety of communication methods (PowerPoint, Word Documents, Dashboards, etc.). Provides visual design expertise and thought leadership to create easy-to-understand reports and dashboards that deliver insights. * Gathers and documents business program needs and translates them into a technical solution using visuals and creating data sources, metrics, and automation. Visuals, data sources, and automation will be created by using reporting tools and databases. Presents that technical solution to key stakeholders. * Ensures that processes and services are continuously monitored for data accuracy, quality, effectiveness, and efficiency; participates in discovery sessions with operational leadership to find data discrepancies and identify issues. Engages in process and quality improvement activities, including working with the Data Governance team to optimize data quality and transparency. * Possesses knowledge of workflows in multiple business areas to support data development, analytics, and quality improvement activities. Guides less experienced Department Database Specialists in gaining workflow knowledge. ## Qualifications Required * Bachelor's Degree or equivalent in business, liberal arts, computer science, application programming, software development, information systems, database administration, mathematics, engineering, or other related field * 5 years of relevant experience ## About Corewell Health As a team member at Corewell Health, you will play an essential role in delivering personalized health care to our patients, members and our communities. We are committed to cultivating and investing in YOU. Our top-notch teams are comprised of collaborators, leaders and innovators that continue to build on one shared mission statement - to improve health, instill humanity and inspire hope. Join a nationally recognized health system with an ambitious vision of continued advancement and excellence. ## How Corewell Health cares for you * Comprehensive benefits package to meet your financial, health, and work/life balance goals. Learn more [here](https://careers.corewellhealth.org/us/en/benefits-new). * On-demand pay program powered by Payactiv * Discounts directory with deals on the things that matter to you, like restaurants, phone plans, spas, and more! * Optional identity theft protection, home and auto insurance * Traditional and Roth retirement options with service contribution and match savings * Eligibility for benefits is determined by employment type and status **Primary Location** SITE - Royal Oak Hospital - 3601 W 13 Mile Rd - Royal Oak **Department Name** Facility Operations Admin - Corporate **Employment Type** Full time **Shift** Day (United States of America) **Weekly Scheduled Hours** 40 **Hours of Work** 8:30 a.m. to 5 p.m. **Days Worked** Monday to Friday **Weekend Frequency** N/A ********CURRENT COREWELL HEALTH TEAM MEMBERS – Please apply through Find Jobs from your Workday team member account. This career site is for Non-Corewell Health team members only.******** _Corewell Health is committed to providing a safe environment for our team members, patients, visitors, and community. We require a drug-free workplace and require team members to comply with the MMR, Varicella, Tdap, and Influenza vaccine requirement if in an on-site or hybrid workplace category. We are committed to supporting prospective team members who require reasonable accommodations to participate in the job application process, to perform the essential functions of a job, or to enjoy equal benefits and privileges of employment due to a disability, pregnancy, or sincerely held religious belief._ _Corewell Health grants equal employment opportunity to all qualified persons without regard to race, color, national origin, sex, disability, age, religion, genetic information, marital status, height, weight, gender, pregnancy, sexual orientation, gender identity or expression, veteran status, or any other legally protected category._ _An interconnected, collaborative culture where all are encouraged to bring their whole selves to work, is vital to the health of our organization. As a health system, we advocate for equity as we care for our patients, our communities, and each other. From workshops that develop cultural intelligence, to our inclusion resource groups for people to find community and empowerment at work, we are dedicated to ongoing resources that advance our values of diversity, equity, and inclusion in all that we do. We invite those that share in our commitment to join our team._ _You may request assistance in completing the application process by calling 616.486.7447._", "summaryDescription" : "Data Analyst Senior. Skills: Data analysis, Reporting, Data quality. Manage software/data needs. Manage technical services", "postedDate" : "2026-06-11T04:37:09.513", "createdAt" : "2026-06-12T04:37:09.447", "lastUpdated" : "2026-06-14T23:33:41.362", "ingestTimestamp" : "2026-06-12T04:37:09.447", "mongoId" : "6a2abe9674d8ee00a06edaa1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://spectrumhealth.wd5.myworkdayjobs.com/CorewellHealthCareers/job/Royal-Oak-MI/Data-Analyst-Senior_R216325", "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Database development", "Data manipulation", "Report development", "Data accuracy", "Data quality", "Process improvement", "Reporting", "Data interpretation", "Teaching strategies", "Computer management", "Programming needs", "Business program needs", "Workflow knowledge", "Facility Operations", "Computer management systems", "Workflows in business areas", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks 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], "softSkillsList" : [ "Leadership", "Organization", "Stakeholder Engagement", "Attention to Detail", "Security Awareness", "Change Management", "Interpersonal Skills", "Executive Presence", "Strategic Planning", "Organizational Skills", "Engaging Communication Skills", "Technological Proficiency", "Instructional Design", "Subject Matter Expertise", "Learner Engagement", "Business Knowledge", "Analytical Skills" ], "hardSkills" : [ { "name" : "Data Education", "level" : "intermediate" }, { "name" : "Data Training", "level" : "intermediate" }, { "name" : "Data Governance", "level" : "intermediate" }, { "name" : "Data Enablement", "level" : "intermediate" }, { "name" : "Data Access", "level" : "intermediate" }, { "name" : "Data Stewardship", "level" : "intermediate" }, { "name" : "Data Quality", "level" : "intermediate" }, { "name" : "Data Solutions", "level" : "intermediate" }, { "name" : "Data Management", "level" : "intermediate" }, { "name" : "Data Analytics", "level" : "intermediate" }, { "name" : "AI Capabilities", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Organization" }, { "name" : "Stakeholder Engagement" }, { "name" : "Attention to Detail" }, { "name" : "Security Awareness" }, { "name" : "Change Management" }, { "name" : "Interpersonal Skills" }, { "name" : "Executive Presence" }, { "name" : "Strategic Planning" }, { "name" : "Organizational Skills" }, { "name" : "Engaging Communication Skills" }, { "name" : "Technological Proficiency" }, { "name" : "Instructional Design" }, { "name" : "Subject Matter Expertise" }, { "name" : "Learner Engagement" }, { "name" : "Business Knowledge" }, { "name" : "Analytical Skills" } ], "majorSkills" : "Data Governance, Data Enablement, Data Strategy, Commercial Analytics", "majorSkillsList" : [ "Data Governance", "Data Enablement", "Data Strategy", "Commercial Analytics" ], "coreResponsibilities" : "Manage the data knowledge base for Vx Commercial, Develop and deliver clear, engaging educational materials and, Create and maintain a compelling library of communications,, Oversee the establishment and maintenance of data standards, Ensure data integrity, quality, and compliance with relevant, Lead the Vx Data Governance Council, Provide strategic alignment on data and analytics across, Facilitate access to data through Tableau Self-Service and, Enable users to leverage data assets effectively, Maintain platform availability and scale these tools to, Lead Vx customer data stewardship in close partnership, Ensure customer data is of the highest quality, Pioneer new capabilities using Gen AI and other", "teamCollaboration" : "Key stakeholders across Data Strategy & Management (DSM); Performance Analytics & Insights (PAI); Digital; Master Data Management; Third-party vendors; Digital MDM and Vx BU stakeholders", "projectManagementSkills" : [ "Agile methodologies", "Data product management" ], "domainKnowledge" : "Vaccines commercial analytics; Biopharma industry; Healthcare industry", "domainList" : [ "vaccines-commercial-analytics", "biopharma-industry", "healthcare-industry" ], "domainSpecificKnowledge" : [ "Vaccines commercial analytics", "Biopharma industry", "Healthcare industry" ], "toolProficiency" : [ "SharePoint", "Tableau", "GitHub", "MS Teams", "Snowflake" ], "communicationSkills" : "Analytical communication; Written communication; Verbal communication; Clear communication; Compelling communication; Engaging communication", "documentationSkills" : "Documentation Best Practices; Documentation", "continuousLearning" : "Vaccines Data Training Curriculum", "innovationCreativity" : "Pioneer new capabilities using Gen AI; Drive innovation", "problemSolvingSkills" : "Troubleshooting", "outcomesObjectives" : "Accelerate adoption of and access to life-saving vaccines; Advance the analytics maturity of the U. S. Commercial Vx BU; Support customer contracting discounts, reporting, segmentation, targeting, and related needs", "qualificationsBasic" : "Bachelors or Masters in Operations Research, Data Science, Statistics, or Computer Programming or relevant fields, 9+ years of relevant experience in Data strategy, Data management, and/or Commercial analytics, Deep understanding of key data types and sources used for vaccines commercial analytics, Robust knowledge of core data integration and data model design approaches, Proven experience leading cross-functional initiatives spanning business and technical teams to deliver complex data solutions, Analytical, written, and verbal communication skills, Experience partnering with Digital/IT functions to implement robust, production-level data solutions", "qualificationsPreferred" : "Experience building scalable solutions spanning multiple brands, therapeutic areas, and business units, Experience with Agile methodologies, Experience with data product management frameworks, Experience working with third-party data vendors, PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Global Commercial Analytics (GCA) harnesses the power of data to drive robust analytical insights that inform some of Pfizer's most critical business questions. With colleagues across the globe, the Commercial Analytics team's rigorous analytical expertise serves as a compass and provides decision support for the enterprise. Our dynamic team of subject-matter experts comes from diverse backgrounds and experiences, including data science, digital analytics, finance, market research, and consulting. Together, we collaborate to turn data into meaningful insights that have a direct impact on patients' lives and the future of Pfizer as a data-driven organization. The **Senior****Manager, Vx Data Governance and Enablement** will lead and oversee the suite of **products** essential to the success of Vaccines Data Strategy, including: * Vaccelerator Data Community SharePoint Site * Vaccines Data Training Curriculum * Vx Data Governance * U.S. Vaccines Tableau Site * Vx Data Stewardship * Vx Data Tech Stack This role will partner closely with key stakeholders across Data Strategy & Management (DSM), Performance Analytics & Insights (PAI), Digital, Master Data Management, and third-party vendors to advance U.S. Vaccines through differentiated data, analytics, and AI capabilities that accelerate adoption of and access to life-saving vaccines. The ideal candidate will bring a strong consultative mindset, commercial analytics domain expertise, and the ability to influence and drive innovation through agile, data-driven practices. **Primary:** * **Data Education and Training** : Manage the data knowledge base for Vx Commercial data using the Vaccelerator platform, ensuring it is user-friendly and accessible to all team members. Develop and deliver clear, engaging educational materials and training sessions to enhance data fluency across the team. Create and maintain a compelling library of communications, training materials, and recorded sessions to support ongoing learning and development and advance the analytics maturity of the U.S. Commercial Vx BU. * **Data Governance** : Oversee the establishment and maintenance of data standards, ensuring data integrity, quality, and compliance with relevant regulations. Lead the Vx Data Governance Council, providing strategic alignment on data and analytics across the U.S. Commercial Vx BU and supporting functions. **** **Secondary:** * **Data Enablement and Access** : Facilitate access to data through Tableau Self-Service and Data Depot, enabling users to leverage data assets effectively. Maintain platform availability and scale these tools to provide access to new data assets. * **Data Stewardship** : Lead Vx customer data stewardship in close partnership with Digital MDM and Vx BU stakeholders to ensure customer data is of the highest quality and supports customer contracting discounts, reporting, segmentation, targeting, and related needs. * **Innovation** : Pioneer new capabilities using Gen AI and other advances in AI to enable faster decision-making across the U.S. Commercial Vx BU. ******Required:** · **Bachelors or Masters in Operations Research, Data Science, Statistics, or Computer Programming or relevant fields** **· 9 + years of relevant experience in Data strategy, Data management, and/or Commercial analytics, ideally in the biopharma or healthcare industry.** · Deep understanding of key data types and sources used for vaccines commercial analytics. · Robust knowledge of core data integration and data model design approaches. · Proven experience leading cross-functional initiatives spanning business and technical teams to deliver complex data solutions. · Strong analytical, written, and verbal communication skills, with a demonstrated ability to translate complex business needs and analytical approaches into clear, actionable data strategies and solutions. · Experience partnering with Digital/IT functions to implement robust, production-level data solutions. · Key Skills | **General** Organization | Clear Communication | Stakeholder Engagement | Documentation | Ability to facilitate engaging learning experiences and teach others effectively | Vx Business Knowledge | Strategic Mindset Key skills | by **Product** **Product: Vaccelerator Data Community** SharePoint Site Administration | Enhancement Management | User Experience | SharePoint Architecture | User and Permissions Management | SharePoint Proficiency | Troubleshooting Knowledge Base | Documentation Best Practices | Organization | Attention to Detail | Technical Proficiency | Security Awareness Change Management | Interpersonal Skills | Clear Communication | Executive Presence | Strategic Planning | Collaboration Curriculum Development | Organizational Skills | Engaging Communication Skills | Technological Proficiency | Instructional Design In-Person Training | Clear and Compelling Communication | Adaptability to Learning Styles | Subject Matter Expertise | Learner Engagement **Product: Vx Data Governance** Strategic Data Management | Technical Proficiency | Data Quality Management | Influencing and Facilitation Skills **Preferred** · Experience building scalable solutions spanning multiple brands, therapeutic areas, and business units, leveraging synergies to maximize efficiency. · Experience with Agile methodologies and data product management frameworks. · Experience working with third-party data vendors in staff augmentation and/or project-based models. · Key Skills | by **Product** · **Product: U.S. Vaccines Tableau Site** Tableau Site Administration | Users | Permissions | Content | Data Management | Tableau Proficiency | Governance and Security | Troubleshooting · **Product: Vx Data Stewardship** Business Knowledge | Technical Skills | Analytical Skills | Interpersonal Skills · **Product: Vx Data Tech Stack Administration** GitHub | MS Teams | S3 | Snowflake Work Location Assignment: Hybrid Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on [ _Pfizer Careers_](https://www.pfizer.com/about/careers/ai-use-guidelines). Marketing and Market Research", "summaryDescription" : "Senior Manager, Vx Data Governance and Enablement. Skills: Data Governance, Data Enablement, Data Strategy, Commercial Analytics. Manage the data knowledge base for Vx Commercial. 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Create narratives with data, Maintain up-to-date skills", "teamCollaboration" : "Agency stakeholders; Audit teams; External organizations; Business managers; IT specialists; Cross functional interaction", "domainKnowledge" : "HIPAA; Federal data policies; State data policies; Public policy context", "domainList" : [ "hipaa", "federal-data-policies", "state-data-policies", "public-policy-context" ], "domainSpecificKnowledge" : [ "HIPAA", "Federal data policies", "State data policies", "Public policy context" ], "toolProficiency" : [ "SSMS", "Qlik", "Cognos", "ArcGIS", "Tableau", "Excel" ], "communicationSkills" : "Written presentations; Oral presentations; Executive presentations", "documentationSkills" : "Supporting documentation; Proper documentation", "continuousLearning" : "New languages; New tools; New technologies", "problemSolvingSkills" : "Data analysis; Data interpretation", "qualificationsBasic" : "Bachelor's Degree related discipline, Demonstrated T-SQL writing, Demonstrated data analysis tools, Ability to work large datasets, Knowledge of data analysis techniques, Advanced Excel capabilities, Knowledge of data analytics, Knowledge of data modeling, Knowledge of data visualization, Exposure to database concepts, Excellent written communication skills, Excellent verbal communication skills, Ability to read English, Ability to write English, Ability to comprehend English, Solid customer service skills, Solid relationship management skills, Proven ability to work autonomously, Proven ability to work in teams, Experience with relational database structures, Experience with multidimensional data structures", "qualificationsPreferred" : "Three years job experience, Build effective relationships, Use analytical techniques, Experience with social network visualization, Experience in data mining, Analytics software languages experience, Experience with statistical analysis, Translate quantitative analysis non-technical audience, Understanding effective data analytics utilization, Proficient in SQL, Experience using data public policy", "remoteFriendly" : false, "rawDescription" : "SALARY RANGE (Grade 13) CSA229: $74,374.37/yr. -- $111,561.54/yr. (Commensurate with experience) GENERAL STATEMENT OF DUTIES The Data Analyst engages in projects to address key information needs of the OSA and enhance the OSA’s efforts to assimilate data analytics into its work processes. Data Analyst is responsible for extracting, aggregating and visualizing critical data to derive value and insights to support the work of the OSA. SUPERVISION RECEIVED Receives general supervision and direction from the Director of Data Analytics. SUPERVISION EXERCISED Provides technical supervision over 1-3 contract personnel on an as needed or project basis. DUTIES AND RESPONSIBILITIES · Understand the data structure and metadata available in all OSA technical environments. · Develop SQL queries to extract, manipulate, and summarize information. · Assist team members in analysis of given data and draw correct inferences, in keeping the objectives of the analysis in mind. · At management direction work with agency stakeholders on content clarity and meeting technical requirements. · Review requests for service / assistance created by other OSA business units for quality and proper documentation. · Translate data service requirements and summarize, calculate or model data using OSA standard tools. · Assist Data Analyst II with mentoring analysts from other business units on analytic practices and the use of the OSA’s analytic tool set. · Ensure compliance with HIPAA and other Federal and State required data policies/best practices. · Interface with audit teams and external organizations assisting in the analysis of audits. · Analyze complex internal / external data, identify anomalies, trends and risk. · Address ad-hoc analytics requests to support projects. · Support and perform data acquisition/data collection and data discovery. · Prepare written summaries with supporting documentation/data readily available to accompany results of analyses. · Manage relationships and establish proactive cross functional interaction with auditors, business managers and IT specialists. · Explain clearly what the data and results indicate and how it can be utilized to support the project objectives. · Assist teams with oral and written presentations to internal or external entities during and at the conclusion of projects. · Present across multiple levels of management and teams with strong comprehension of multi-domains to create narratives with data. · Maintain up to-date skills of new languages, tools and technologies. MINIMUM QUALIFICATIONS The successful candidate will possess and/or demonstrate: · A Bachelor’s Degree in a related discipline (Finance / Accounting, Statistics, Economics, etc.). · Demonstrated ability in writing T-SQL and using SSMS or other query tools. · Demonstrated ability in data analysis and visualization tools (Qlik, Cognos, ArcGIS, Tableau). · Ability to work with large datasets. · Knowledge of data analysis techniques. · Highly organized with attention to detail. · Flexibility to meet continuously changing priorities and challenges. · Advanced Excel capabilities and related data manipulation required. · Knowledge of data analytics, data modeling and data visualization. · Advanced Excel capabilities (i.e. pivot tables, VLOOKUP function, graphing). · Ability to visualize the analytics results in effective manner. · Exposure to database concepts to help acquire, query and maintain the data environment (MS SQL or others). · Excellent written and verbal communication skills. · Ability to read, write and comprehend the English language. · Solid customer service and relationship management skills. · Proven ability to work autonomously and in teams. · Experience with relational database structures and multidimensional data structures. PREFERRED QUALIFICATIONS Demonstrated experience and expertise in the following areas will also be important considerations: · A minimum of three years of job experience in a similar role. · Demonstrated ability to build effective relationships across diverse internal and external groups. · Ability to use analytical techniques such as critical and conceptual thinking to objectively analyze situations. · Experience with social network visualization tools. · Experience in data mining. · A degree in accounting or finance or relevant experience a plus. · Experience in analytics software languages (R, Python or others). · Experience with statistical analysis such as linear regression, logical regression, factor analysis, discriminant analysis and cluster analysis. · Experience translating complex quantitative analysis to a non-technical audience. · Strong understanding of the effective utilization of data analytics. · Proficient in SQL and demonstrated ability in data analysis, business intelligence and visualization tools i.e. QlikView/Sense, Tableau or alternative data visualization package. · Experience using data in a public policy context. Salary is commensurate with experience. The Office of the State Auditor is committed to providing equal employment opportunities. Employment actions such as recruiting, hiring, training, and promoting individuals are based upon a policy of non-discrimination. Employment decisions and actions are made without regard to race, color, gender, religion, age, national origin, ancestry, sexual orientation, gender identity and expression, disability, military status, genetic information, political affiliation, or veteran’s status. Data Analyst I", "summaryDescription" : "Data Analyst at Office of the State Auditor. Skills: Data analysis, Data visualization, SQL, Excel. Understand data structure. 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Austin:1411 Brazos (320TX-4000)
1411 Brazos St
Austin, 78701

" ], "timestamp" : "2026-06-15T08:04:40.931", "fingerprint" : "f911572be6f38cd41651e4636691a5ea9c45db196f8a816fcfc0fd1239c4bcc4", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=33050", "externalId" : "33050", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" }, { "city" : "El Paso", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "31.7601001,-106.4870476" }, { "city" : "Fort Worth", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7531770,-97.3327459" }, { "city" : "McAllen", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "26.2041140,-98.2300605" }, { "city" : "San Antonio", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.4246002,-98.4951405" } ], "locationText" : "Austin, Texas, United States; El Paso, Texas, United States; Fort Worth, Texas, United States; McAllen, Texas, United States; San Antonio, Texas, United States", "technicalSkills" : "SQL, VB Scripts, Python, R, JSON", "professionalSkills" : [ "Data analysis", "Data research", "Data visualization", "Data accuracy", "Data integrity", "Data conversions", "Database objects", "Database concepts" ], "hardSkillsList" : [ "ETL processes", "Data warehousing concepts", "Scripting languages" ], "hardSkills" : [ { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing concepts", "level" : "intermediate" }, { "name" : "Scripting languages", "level" : "intermediate" } ], "majorSkills" : "Data analysis, SQL, Data visualization", "majorSkillsList" : [ "Data analysis", "SQL", "Data visualization" ], "coreResponsibilities" : "Extract transform load data, Conduct data analysis, Identify trends patterns anomalies, Develop data visualizations, Maintain data visualizations, Generate reports, Conduct audits, Validate data accuracy, Validate data completeness, Participate data conversions, Map data, Extract data, Transform data, Validate data, Troubleshoot data issues, Resolve data issues, Tune database objects, Optimize database objects, Tune queries, Optimize queries, Tune scripts, Optimize scripts, Design database objects, Implement database objects, Maintain database objects, Identify process improvements, Analyze process improvements, Recommend process improvements, Collaborate project management, Align data business rules, Align data requirements, Stay up to date, Support operations, Support projects, Adhere standard operating procedures, Perform job duties", "teamCollaboration" : "Work with project managers; Work with business analysts; Work with system analysts; Work within a team", "domainKnowledge" : "User interface data; Database concepts", "domainList" : [ "user-interface-data", "database-concepts" ], "domainSpecificKnowledge" : [ "User interface data", "Database concepts" ], "toolProficiency" : [ "Excel", "Power BI", "Tableau", "Google APIs" ], "communicationSkills" : "Present data effectively", "continuousLearning" : "Training and development", "problemSolvingSkills" : "Analytical abilities; Problem-solving abilities; Identify trends; Analyze trends; Interpret trends", "specialRequirements" : "Texas resident, Relocate to Texas, 10% travel, Lift 15 Lbs", "qualificationsBasic" : "Graduation from accredited high school, One year experience data science, One year experience business analytics, One year experience computer science, One year experience computer information systems, One year experience management information systems, One year experience accounting, One year experience finance, One year experience mathematics, One year experience statistics, One year experience economics, Proficiency in SQL", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO WE ARE: The mission of the Texas Workforce Commission (TWC) is to promote and support a workforce system that creates value and offers employers, individuals and communities the opportunity to achieve and sustain economic prosperity. To support our mission, we are seeking a Data Analyst to join the Unemployment Insurance Administration and Operational Support (UIA&OS) team. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. This position will have an on-site work schedule in one of our facilities in Austin, El Paso, Fort Worth, McAllen, or San Antonio. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. WHO YOU ARE: We are seeking a highly motivated and skilled Data Analyst to join our growing team. In this role, you will be responsible for analyzing data, identifying trends, and providing insights that drive business decisions. You will work closely with project managers, business analysts, and system analysts to ensure data accuracy and integrity across various systems. WHAT YOU WILL DO: The Data Analyst I-II performs entry-level to routine (journey-level) data analysis and data research work. Works under close to moderate supervision, with minimal to limited latitude for using initiative and independent judgment. YOU WILL BE TRUSTED TO: -Design, develop, and execute SQL scripts, VB Scripts, and other technologies to extract, transform, and load (ETL) data from various sources, particularly user interface (UI) data. -Conduct thorough data analysis to identify trends, patterns, and anomalies. -Develop and maintain data visualizations (graphs, charts, dashboards) using tools like Excel, Power BI and Tableau to communicate findings effectively. -Generate daily, weekly, monthly, quarterly, and annual reports on business activities, as well as ad-hoc reports as needed. -Conduct audits to validate data accuracy and completeness. -Participate in the full execution of data conversions, including mapping, extraction, transformation, and validation. -Troubleshoot and resolve data issues in test and production environments. -Tune and optimize database objects, queries, and scripts for speed and efficiency. -Design, implement, and maintain new and existing database objects (tables, indexes, constraints, stored procedures, user-defined functions). -Identify, analyze, and recommend improvements to existing data processes and procedures. -Collaborate with project management, business analysts, and system analysts to ensure data aligns with business rules and requirements. -Stay up to date with the latest data analysis technologies and database concepts. -Support operations and projects in alignment with the organization's mission and vision. -Adhere to internal standard operating procedures to support project needs. -Perform other job-related duties as assigned. YOU QUALIFY WITH: - Data Analyst I: Graduation from an accredited high school or successful completion of GED certification. Acceptance into a TWC Internship or TWC Apprenticeship will satisfy the minimum qualifications. - Data Analyst II: One year of full-time experience in data science, business analytics, computer science, computer information systems, management information systems, accounting, finance, mathematics, statistics, economics, or a related field. -Both Levels: Relevant academic credits may be applied toward experience qualifications for this position. YOU ARE A GREAT FIT WITH: -Proficiency in SQL. -Experience with data visualization tools such as Excel, Power BI and Tableau. -Familiarity with scripting languages (e.g., VBA, Python, R). -Knowledge of data warehousing concepts and ETL processes. -Familiarity with JSON and Google APIs. -Strong analytical and problem-solving abilities with a keen attention to detail. -Ability to identify, analyze, and interpret trends in data sets. -Excellent organizational, time management, and prioritization skills. -Ability to learn new systems and retain information quickly. -Excellent oral and written communication skills, with the ability to present data effectively to various audiences. -Strong collaboration skills and the ability to work effectively within a team. -Professionalism and a commitment to quality. YOU GAIN: - A Family Friendly Certified Workplace. - Competitive salary: Data Analyst I: $4,582.08; Data Analyst II: $5,558.41 - Defined Retirement Benefit Plan - Optional 401(k) and 457 accounts - Medical Insurance - Paid time off, including time for vacation, sick and family care leave - Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits. Security sensitive position. Criminal background check conducted on final candidate. May work outside of normal business hours for special projects, outages, upgrades, or service affecting maintenance. Duties require up to 10% travel within the state of Texas and the ability to lift 15 Lbs. PLEASE NOTE: All applications should contain complete job history entries, which includes job title, dates of employment, name of employer, supervisor's name and phone number and a description of duties performed. If this information is not submitted; your application may be rejected because it is incomplete. Resumes do not take the place of this required information. VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications, and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_PlanningResearchandStatistics.pdf. HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those currently on student or postgraduate visas. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-Austin", "summaryDescription" : "Data Analyst at Texas Workforce Commission. Skills: Data analysis, SQL, Data visualization. Extract transform load data. Conduct data analysis", "createdAt" : "2026-06-14T00:37:31.646", "lastUpdated" : "2026-06-15T08:04:40.931", "ingestTimestamp" : "2026-06-14T00:37:31.646", "mongoId" : "6960824e0937eae70e9c8606", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 52000, "salaryAnnualMax" : 78000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "ETL processes", "Data warehousing concepts", "Scripting languages", "Data analysis", "SQL", "Data visualization", "Data research", "Data accuracy", "Data integrity", "Data conversions", "Database objects", "Database concepts", "User interface data", "Excel", "Power BI", "Tableau", "Google APIs" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "_score" : 1157.5126, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c939074d8ee00a09885f7", "title" : "Data Analyst", "company" : "Ocado Group", "industry" : "E-Commerce", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Analyst in Hatfield, United Kingdom, adjusted for the E-commerce industry and Ocado Group's company size." }, "location" : "Trident Place One", "locations" : [ "Trident Place One" ], "timestamp" : "2026-06-15T08:34:46.612", "fingerprint" : "448a9db6f148bf91aa55ec3467d56bfbd91c956760b677e61ff3e8b57d9832cf", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.ocadogroup.com/jobs/details?gh_jid=4873170101&gh_jid=4873170101", "externalId" : "4873170101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hatfield", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.7634675,-0.2258741" } ], "locationText" : "Hatfield, United Kingdom", "technicalSkills" : "SQL, Python, Looker, Google BigQuery, GCP, Dbt, Google Analytics 4, Git, GitHub", "professionalSkills" : [ "Customer journey analysis", "Funnel analysis", "Ecommerce metrics", "Commercial strategy", "Data-driven decision making", "Commercial decision making", "Experimental results evaluation", "Data asset understanding", "Gap surfacing", "Quality issue surfacing" ], "hardSkillsList" : [ "Cohort analysis", "Customer segmentation", "Lifetime value modelling", "A/B testing", "Hypothesis testing", "Statistical experiments" ], "hardSkills" : [ { "name" : "Cohort analysis", "level" : "intermediate" }, { "name" : "Customer segmentation", "level" : "intermediate" }, { "name" : "Lifetime value modelling", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Hypothesis testing", "level" : "intermediate" }, { "name" : "Statistical experiments", "level" : "intermediate" } ], "majorSkills" : "Ecommerce analytics, Customer analytics, BI dashboards, Statistical analysis", "majorSkillsList" : [ "Ecommerce analytics", "Customer analytics", "BI dashboards", "Statistical analysis" ], "coreResponsibilities" : "Build cohort analysis, Build customer segmentation, Build lifetime value modelling, Analyse customer journeys, Analyse funnel drop-offs, Track ecommerce metrics, Interpret ecommerce metrics, Evaluate feature performance, Evaluate feature uptake, Evaluate pricing structures, Evaluate promotional mechanics, Analyse product range data, Analyse availability data, Design A/B tests, Run A/B tests, Run statistical experiments, Apply statistical methods, Evaluate experimental results, Communicate findings, Build dashboards, Maintain dashboards, Work with data engineers, Understand data assets, Surface gaps, Surface quality issues", "teamCollaboration" : "Product teams; Commercial teams; Data engineering teams", "domainKnowledge" : "Ecommerce; Online grocery; Retail; Logistics", "domainList" : [ "ecommerce", "online-grocery", "retail", "logistics" ], "domainSpecificKnowledge" : [ "Ecommerce", "Online grocery", "Retail", "Logistics" ], "toolProficiency" : [ "Looker", "Google Analytics 4", "Git", "GitHub" ], "communicationSkills" : "Actionable narratives; Clear narratives; Actionable recommendations", "problemSolvingSkills" : "Solve complex problems", "outcomesObjectives" : "Identify growth opportunities; Deliver stronger business results; Influence digital customer experience; Shape commercial decision-making", "qualificationsBasic" : "2+ years experience, SQL proficiency, Python proficiency, Solid understanding of statistics, Experience building dashboards in BI tool, Familiarity with core ecommerce metrics", "qualificationsPreferred" : "Experience with Google BigQuery, Experience with GCP ecosystem, Familiarity with dbt, Familiarity with structural data modelling, Experience with Google Analytics 4, Exposure to predictive modelling, Exposure to regression techniques, Prior analytics experience in online grocery, Prior analytics experience in retail, Prior analytics experience in logistics, Familiarity with Git, Familiarity with GitHub, Curiosity about AI, Experience utilizing Claude, Experience utilizing ChatGPT", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Data Analyst | Ecommerce Partner Success Analytics | Hybrid Working | Hatfield We are Ocado Group, and we're bringing world-class automation to online grocery. Our Ocado Smart Platform (OSP) combines cutting-edge robotics, AI, and IoT within our advanced CFCs (Customer Fulfilment Centres). We've mastered the single pick, transforming online delivery for our global partners. Join us and be part of a team pushing the boundaries of retail technology. About the Role As an Ecommerce Data Analyst (A2) within the Partner Success Analytics team, you will generate critical insights across the full customer journey, from how shoppers discover and browse to how they purchase, retain, and engage with the platform. Operating at the intersection of ecommerce, commercial strategy, and product analytics, your work will help a diverse set of global retail partners understand platform performance, identify growth opportunities, and deliver stronger business results. In this role, you will collaborate closely with product, commercial, and data engineering teams to solve complex problems spanning digital storefronts, fulfilment, and last-mile delivery. You will take ownership of translating deep analytical findings into clear, actionable narratives for diverse stakeholders. This is a fantastic opportunity to leverage data, statistics, and modern tooling to directly influence the digital customer experience and shape commercial decision-making on an international scale. Key Responsibilities Build cohort analysis, customer segmentation, and lifetime value modelling to deepen the understanding of shopper behaviour. Analyse customer journeys and funnel drop-offs to surface actionable improvement opportunities across the platform. Track and interpret core ecommerce metrics, including Conversion Rate, Average Order Value, Frequency, and Churn, translating trends into clear narratives for stakeholders. Evaluate feature performance, feature uptake, pricing structures, and promotional mechanics to inform commercial strategies. Analyse product range and availability data to support data-driven commercial decision-making. Design and run A/B tests and other statistical experiments in collaboration with product and commercial teams. Apply appropriate statistical methods to evaluate experimental results, communicating findings clearly alongside uncertainty and practical significance. Build and maintain user-friendly dashboards and reporting in Looker to empower stakeholders to self-serve. Work closely with data engineers to understand available data assets and proactively surface gaps or quality issues. What We’re Looking For Essential 2+ years of experience in a data analyst or similar data-focused role. Strong SQL proficiency with comfort writing complex queries across large datasets. Python proficiency for data analysis, transformation, and automation. Solid understanding of statistics, with the ability to design, run, and interpret A/B tests and hypothesis tests. Experience building user-friendly dashboards in a BI tool such as Looker, Tableau, or Data Studio. Familiarity with core ecommerce metrics and a clear understanding of how they connect to broader business outcomes. Ability to translate complex analytical findings into clear, actionable recommendations for non-technical audiences. Nice to Haves Experience with Google BigQuery and the Google Cloud Platform (GCP) ecosystem. Familiarity with dbt or structural data modelling concepts. Experience utilizing web analytics tools such as Google Analytics 4 (GA4). Exposure to predictive modelling or regression techniques. Prior analytics experience within the online grocery, retail, or logistics sectors. Familiarity with version control systems such as Git and GitHub. Curiosity about AI and experience utilizing tools like Claude or ChatGPT. Benefits Our employee benefits are designed for you, we care about people and we’ve ensured we have a wealth of benefits that focus on your well-being. We regularly review our benefits to ensure we are supporting our employees appropriately. Currently, we offer technically stretching work, a competitive salary and; Hybrid working patterns meaning part of the working week can be spent working remotely (typically 3 days per week). However, your working pattern will depend upon your role/team. 30 days working from anywhere policy Wellbeing support through Apps such as Unmind and an Employee Assistance Programme 25 days annual leave, rising to 27 days after 5 years service (plus optional holiday purchase) Pension scheme (various options available including employer contribution matching up to 7%) Private Medical Insurance 22 weeks paid maternity leave and 6 weeks paid paternity leave (once relevant service requirements complete) Train Ticket loan (interest-free) Cycle to Work Scheme Opportunity to participate in Sharesave and Buy as You Earn share schemes 15% discount on Ocado.com and free delivery for all employees Income Protection (can be up to 50% of salary for 3 years) Life Assurance (3 x annual salary) Be bold, be unique, be brilliant, be you. We are looking for individuality and we value diversity. We are an equal opportunities employer and we are committed to treating all applicants and employees fairly and equally. We are committed to making reasonable adjustments to provide a positive, barrier-free recruitment process and supportive work environment. If you have any support or access requirements, we encourage you to advise us at the time of application. #LI-HYBRID #LI-OT #LI-JT1", "summaryDescription" : "Data Analyst at Ocado Group. Skills: Ecommerce analytics, Customer analytics, BI dashboards, Statistical analysis. Build cohort analysis. 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Kraków, Poland", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Pandas, NumPy, SciPy, PySpark", "professionalSkills" : [ "Data wrangling", "Data transformation", "ETL processes", "Analytical skills", "Problem-solving skills", "Critical-thinking skills", "Stakeholder management" ], "hardSkillsList" : [ "Data analysis", "Machine learning models" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Machine learning models", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Machine learning, ETL", "majorSkillsList" : [ "Data analysis", "Machine learning", "ETL" ], "coreResponsibilities" : "Support development of models, Prepare data from sources, Clean datasets, Transform datasets, Validate datasets, Analyze datasets, Design ETL pipelines, Develop ETL pipelines, Optimize ETL pipelines, Work with large databases, Extract data, Manage data, Collaborate with teams, Partner with stakeholders, Understand requirements, Translate requirements, Identify data quality issues, Implement solutions, Improve data accuracy, Improve data consistency, Improve data accessibility, Contribute to process improvement, Support knowledge sharing, Support best practices", "teamCollaboration" : "Cross-functional teams; Data scientists; Model developers; Business stakeholders; International stakeholders", "domainKnowledge" : "Financial services; Machine learning models", "domainList" : [ "financial-services", "machine-learning-models" ], "domainSpecificKnowledge" : [ "Financial services", "Machine learning models" ], "communicationSkills" : "Stakeholder management", "continuousLearning" : "Professional development; Learning platforms; Professional certifications", "problemSolvingSkills" : "Analytical skills; Problem-solving skills; Critical-thinking skills", "qualificationsBasic" : "5+ years experience, Fluency in French (B2+), Fluency in English, SQL proficiency, Python proficiency, Bachelor's degree", "qualificationsPreferred" : "Banking domain experience, Financial services domain experience, Experience supporting machine learning, Experience supporting advanced analytics, Knowledge of cloud-based data platforms, Knowledge of modern data architectures, Experience working in Agile environments, Exposure to data governance, Exposure to data quality frameworks, PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Senior Data Analyst (Financial Services) with French Location: Warsaw or Kraków (Hybrid 1-2 office days per month) About Capco At Capco Poland, we're not just another consultancy—we're the dynamic force driving digital transformation in the financial world. As a global leader in technology and management consulting, we help clients tackle complex challenges across banking, payments, capital markets, wealth, and asset management. Our culture is fast-paced, flexible, and entrepreneurial. We move quickly, think creatively, and put people at the center of everything we do. We're passionate about delivering value to our clients while creating opportunities for our people to grow and thrive. We're proud to be: Leaders in banking, payments, capital markets, wealth, and asset management consulting Champions of an agile, innovative, and collaborative work environment Committed to attracting and developing exceptional talent The Role We are looking for an experienced Senior Data Analyst with French to join a high-performing team supporting the development of advanced machine learning models within a global financial services environment. In this role, you will work closely with data scientists, model developers, and business stakeholders to deliver high-quality data solutions that power analytical and modeling initiatives. You will be responsible for sourcing, transforming, analyzing, and preparing large-scale datasets while contributing to the design and implementation of robust ETL processes. As a senior member of the team, you will also play a key role in driving analytical initiatives, collaborating with international stakeholders, and ensuring data quality and consistency across complex environments. Key Responsibilities Support the development of advanced financial machine learning models by sourcing, aggregating, and preparing data from multiple internal and external sources. Clean, transform, validate, and analyze complex datasets to ensure high-quality inputs for modeling activities. Design, develop, and optimize ETL pipelines to streamline data ingestion and processing workflows. Work with large-scale databases and distributed data environments to extract and manage data efficiently. Collaborate with cross-functional teams including model developers, data scientists, and business stakeholders. Partner with business stakeholders to understand requirements and translate them into data-driven solutions. Identify data quality issues and implement solutions to improve data accuracy, consistency, and accessibility. Contribute to the continuous improvement of data management, reporting, and analytical processes. Support knowledge sharing and best practices across the wider data and analytics community. Skills & Experience 5+ years of experience as a Data Analyst, preferably within complex enterprise environments. Fluency in French (B2+) and English is required. Strong proficiency in SQL and Python, including: Pandas NumPy SciPy PySpark Solid understanding of data wrangling, data transformation, and ETL processes. Experience working with large and complex databases and distributed data environments. Strong analytical, problem-solving, and critical-thinking skills. Experience collaborating with business stakeholders and translating business requirements into analytical solutions. Ability to work independently and manage multiple priorities in a fast-paced environment. Excellent communication and stakeholder management skills. Detail-oriented, collaborative, and business-focused mindset. Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. Nice to Have Banking or financial services domain experience. Experience supporting machine learning or advanced analytics initiatives. Knowledge of cloud-based data platforms and modern data architectures. Experience working in Agile environments. Exposure to data governance and data quality frameworks. What We Offer Flexible collaboration model based on a B2B contract. Opportunity to work on challenging projects within the financial services sector. Exposure to modern data, analytics, and machine learning initiatives. Collaborative and supportive team environment. Access to professional development opportunities and a global network of experts. Hybrid working model. Access to employee benefits packages, including private medical care and life insurance. Access to learning platforms and professional certifications. Recruitment Process Screening Call with a Recruiter Capco Hiring Manager Interview Client Interview Feedback / Offer Joining Capco means joining an organization that is committed to an inclusive working environment where you're encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. #LI-HYBRID", "summaryDescription" : "Senior Data Analyst with French at Capco. Skills: Data analysis, Machine learning, ETL. Support development of models. 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Partner with Product; Partner with Finance; Partner with Data Engineering; Work with CS leaders; Work with CS managers; Work with CS operators; Work with BPO partner", "domainKnowledge" : "Customer lifecycle; Customer retention; Customer churn; Customer expansion; Customer health; Support efficiency; RevOps; Renewal volume; Ticket volume; Staffing capacity", "domainList" : [ "customer-lifecycle", "customer-retention", "customer-churn", "customer-expansion", "customer-health", "support-efficiency", "revops", "renewal-volume", "ticket-volume", "staffing-capacity" ], "domainSpecificKnowledge" : [ "Customer lifecycle", "Customer retention", "Customer churn", "Customer expansion", "Customer health", "Support efficiency", "RevOps", "Renewal volume", "Ticket volume", "Staffing capacity" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Dbt Cloud", "AWS S3", "AWS Glue", "AWS SageMaker", "AWS Athena", "GCP Vertex AI", "Azure Synapse", "Azure ML Studio" ], "communicationSkills" : "Clear communication; Executive visibility", "documentationSkills" : "Clear documentation", "continuousLearning" : "Learning and development programs; Professional growth opportunities", "innovationCreativity" : "AI-enabled analytics; Automation", "problemSolvingSkills" : "Analytical thinker; Solve problems; Translate ambiguous questions; Structured analyses; Measurable hypotheses", "specialRequirements" : "Occasional in-person attendance", "outcomesObjectives" : "Drive measurable outcomes; Improve operational rhythms; Reduce manual work; Improve decision quality; Establish measurement governance; Establish governance", "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" : "Scribd, Inc. is on a mission to advance human understanding. Our four products — Scribd®, Slideshare®, Everand™, and Fable — help billions of people across the globe move beyond access and into insight, application, and expertise. CULTURE AT SCRIBD, INC. We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location. So what are we looking for in new team members? At Scribd, Inc., we hire for “GRIT.” Traditionally defined as the intersection of passion and perseverance toward long-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude. This posting reflects an approved, open position within the organization. ABOUT THE TEAM AND ROLE Scribd is evolving from one of the world’s largest document libraries into a platform where active knowledge building happens. With a library of 300 million documents and over 250 million monthly visitors, our next chapter focuses on helping users move from simply finding information to building deep, actionable understanding. As the Senior Analytics Lead you will own analytics and operational insights for the Customer Operations organization. You will partner closely with Customer Operations leadership & team, Product, Finance (RevOps), and Data Engineering to build trusted reporting, improve operational rhythms, and drive measurable outcomes across retention, expansion, customer health, and support efficiency. In this role, you will translate ambiguous questions into clear measurement frameworks, forecasting models, and actionable reporting. You will also help the organization adopt AI-enabled analytics and automation to reduce manual work, improve decision quality, and establish strong measurement and governance. ABOUT YOU You are a deeply analytical thinker who is curious and loves to solve problems. You are comfortable operating in a fast-moving environment with evolving priorities. You combine strong technical skills with an operator’s mindset and can communicate clearly with both technical and non-technical partners. You care deeply about: - Building trusted datasets, definitions, and reporting that teams can rely on. - Turning ambiguous questions into structured analyses and measurable hypotheses. - Creating operational metrics and dashboards that are easy to use and drive action. - Applying AI thoughtfully, with clear success metrics and appropriate governance. YOU WILL - Own Customer Success and Customer Operations measurement - Define and maintain core metrics and business definitions across the customer lifecycle, including onboarding milestones, time-to-value, engagement, customer health, renewals, expansions, and churn. - Create clear documentation and enable consistent interpretation across Customer Success Operations, RevOps, Finance,Establish instrumentation and data quality requirements with Data Engineering to ensure reliable sources of truth. - Build decision-ready reporting and self-serve analytics - Build and iterate on dashboards, KPI scorecards, and operational reporting that support day-to-day execution and executive visibility. - Enable self-serve analytics with clear definitions, drill paths, and actionable views for CS leaders, managers, and operators. - Create automated reporting and proactive alerting for KPI movement and risk signals, such as drops in engagement, support spikes, onboarding delays, and renewal risk. - Customer retention, churn, and expansion analytics - Define and maintain retention metrics, including logo and revenue churn, GRR and NRR, renewal rates, and cohort retention. - Build and operationalize churn and renewal risk analyses and models that surface leading indicators. - Develop and iterate on customer health scoring frameworks that combine usage, lifecycle events, support signals, billing signals, and qualitative inputs. - Forecasting and capacity planning - Build forecasting models for key planning needs such as renewal volume, renewal risk, churn, expansion pipeline, ticket volume, and staffing capacity for our \\BPO partner - Define evaluation approaches such as backtesting, holdouts, calibration, and monitoring, and ensure forecasts remain reliable over time. - Partner with Customer Operations to translate forecasts into staffing plans, coverage models, and operating cadences. - AI-enabled automation and productivity - Identify and prototype AI-driven workflows that reduce manual analysis and speed up decision-making, such as automated insights, narrative summaries, anomaly detection triage, and stakeholder Q&A. - Define success metrics and guardrails for AI-supported analytics, including accuracy, coverage, bias considerations, data privacy, and appropriate human review. - Drive adoption through enablement, feedback loops, and iteration with cross-functional partners. - Cross-functional partnership and storytelling - Translate Customer Success Operations questions into structured analyses and measurable hypotheses. - Communicate insights with clear narratives that influence decisions across technical and non-technical audiences. - Build strong relationships with CS, Customer Ops, RevOps, Finance, Support, and Data teams to align priorities and execute effectively. YOU HAVE - 4+ years of experience in analytics, business operations, or business intelligence roles, ideally supporting Customer Success, Customer Operations, RevOps, Support, Sales, Growth, or similar customer-facing functions. - Strong SQL skills and experience working with analytical datasets and BI tools (Looker, Tableau, etc.), with an emphasis on performance, usability, and metric governance. - Experience with Python (or similar) for analysis, forecasting, and modeling. - A track record of building retention, churn, renewal risk, forecasting, or related analyses and translating outputs into business action. - A strong foundation in statistics and experimental thinking, including hypothesis testing and measurement design. - Strong communication skills, with the ability to influence stakeholders across technical and non-technical teams. - Comfort working independently in an environment with evolving priorities. Nice to have - Experience with customer health scoring, churn modeling, retention and expansion analytics, or lifecycle analytics. - Experience with analytics engineering practices (for example dbt-style testing, documentation, and semantic layers). - Experience evaluating or implementing AI or LLM-enabled analytics workflows, including quality measurement and human-in-the-loop processes. - Familiarity with SaaS subscription metrics, cohort analysis, and billing systems. - Familiarity with tools such as Forethought (AI) and Zendesk ---------------------------------------------------------------------------------- At Scribd, Inc., your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $97,000 [minimum salary in our lowest geographic market within California] to $146,000 [maximum salary in our highest geographic market within California]. In the United States, outside of California, the reasonably expected salary range is between $80,000 [minimum salary in our lowest US geographic market outside of California] to $138,500 [maximum salary in our highest US geographic market outside of California]. In Canada, the reasonably expected salary range is between $101,500 CAD[minimum salary in our lowest geographic market] to $129,500 CAD[maximum salary in our highest geographic market]. We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package. WORKING AT SCRIBD, INC. Are you currently based in a location where Scribd, Inc. can employ you? Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance: United States: Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C. Canada: Ottawa | Toronto | Vancouver Mexico: Mexico City Benefits at Scribd, Inc. - Scribd Flex (flexible work model) - Comprehensive health, dental, and vision coverage - Mental health support and disability coverage - Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals - Paid parental leave and family support benefits - Retirement matching and employee equity - Learning and development programs and professional growth opportunities - Wellness and home office stipends - Complimentary access to the Scribd, Inc. suite of products - Enterprise access to leading AI tools Get to Know Scribd, Inc. About Scribd, Inc. https://www.scribdinc.com/about Life at Scribd, Inc. https://bit.ly/ScribdonLinkedin We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com about the need for adjustments at any point in the interview process. If you apply for a job with Scribd or otherwise engage with us in connection with employment (including as an employee, contractor, or other personnel), the personal information we process in that context is subject to our Employee and Applicant Privacy Policy, which is available here https://support.scribd.com/hc/en-us/articles/49754646187284-Employee-and-Applicant-Privacy-Policy-and-Notice-at-Collection. Scribd, Inc. is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.", "summaryDescription" : "Sr Data Analyst, Customer Operations at Scribd, Inc.. Skills: Data analysis, Business intelligence, ML/AI, Data engineering. Own Customer Success measurement. 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UA, ASO, Creatives; Data Science; Product; Cross-functional teams", "domainKnowledge" : "Mobile gaming; Mobile apps; E-commerce; UA analytics; Growth analytics; Player behavior; Game economy", "domainList" : [ "mobile-gaming", "mobile-apps", "e-commerce", "ua-analytics", "growth-analytics", "player-behavior", "game-economy" ], "domainSpecificKnowledge" : [ "Mobile gaming", "Mobile apps", "E-commerce", "UA analytics", "Growth analytics", "Player behavior", "Game economy" ], "toolProficiency" : [ "Tableau", "Looker", "Power BI" ], "communicationSkills" : "Stakeholder communication; Present findings; Actionable recommendations; Compelling narratives", "continuousLearning" : "Staying current", "problemSolvingSkills" : "Identify opportunities; Identify problems; Propose solutions", "outcomesObjectives" : "Turn data into decisions; Identify opportunities before requests; Shape marketing strategy; Shape budget allocation; Shape business performance", "qualificationsBasic" : "Advanced SQL, Working proficiency in BI tool, Familiarity with Python for analytics, Proactive communication style, Ask right business question, Confidence presenting findings, Translate complex findings, Thrive in fast-paced environments", "qualificationsPreferred" : "Hands-on experience in mobile gaming, Familiarity with incrementality testing, Familiarity with ROAS modelling, Familiarity with LTV/payback curve analysis, Knowledge of Databricks, Applied use of AI or ML tools, Staying current with tools, Passion for mobile games", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "At Huuuge Games , we make top-grossing mobile games that bring people together through fun and social mobile gaming. As a Senior Data Analyst , you'll join a Marketing team where you’ll be at the center of how we acquire players, invest our marketing budget, and understand what actually drives growth - turning data into decisions that reach millions of players worldwide. This is a role with real autonomy, real stakes, and genuinely interesting problems. If you're excited by work that directly shapes strategy, a team that values initiative over instruction, and the chance to drive impact at scale - this is where you want to be. We are an in-office-first company and operate in a hybrid model (3 days from the office). How will you make an impact with us? As a Senior Data Analyst working in theMarketing team at Huuuge, you'll be a trusted partner to Marketing stakeholders across UA, ASO, Creative, helping turn data into decisions and identifying opportunities before they become requests. This is a high-ownership role where your work directly shapes marketing strategy, budget allocation, and business performance. * Build and own analyses that answer the big Marketing questions: Is our spend efficient? Where should we double down? What's driving a drop in player acquisition? * Design and maintain dashboards that give Marketing stakeholders a clear, always-on view of performance - and flag anomalies before anyone asks. * Proactively identify opportunities and problems in data, propose solutions, and drive initiatives end-to-end - from a vague business question all the way to a stakeholder presentation * Collaborate daily with UA, ASO, Creatives, Data Science, and Product - being the analytical backbone that connects them. * Translate complex findings into clear, actionable recommendations that non-data audiences can quickly understand and confidently act upon. * Contribute to automation that reduces recurring manual work and frees the team for higher-value analysis. ## Requirements This is the right job for you if you have: * Advanced SQL - complex queries, aggregations, window functions feel natural to you. * Working proficiency in at least one BI tool (Tableau preferred; Looker or Power BI also welcome). * Familiarity with Python for analytics (data manipulation, exploratory analysis, basic modeling). * A proactive communication style - you keep stakeholders informed without being asked, and you raise your hand when priorities need to shift. * The ability to ask the right business question before reaching for a methodology, and you're willing to challenge your own assumptions when the data tells a different story. * Confidence presenting findings to senior stakeholders - you adapt your language to the audience and enjoy making complex things simple. * Proficiency in translating complex analyses into clear, compelling narratives for non-technical audiences - and those conversations energize you rather than drain you. * Thrive in fast-paced, ambiguous environments where priorities shift, ownership is expected, and no one needs to tell you what to work on next. Surprise us with: * Hands-on experience in mobile gaming, mobile apps, or e-commerce (especially around UA or growth analytics). * Familiarity with incrementality testing, ROAS modelling, or LTV/payback curve analysis * Knowledge of Databricks or similar data lakehouse environments. * Any applied use of AI or ML tools in an analytics workflow. * A genuine habit of staying current - papers you've read, tools you've experimented with, something you learned and actually applied. * Passion for mobile games, understanding player behavior, and modeling game economy. We thought you’d appreciate:", "summaryDescription" : "Senior Data Analyst (Marketing) at Huuuge Games. Skills: Data analysis, Marketing analytics, Business intelligence. Build and own analyses. Design and maintain dashboards", "postedDate" : "2026-06-12T10:06:30.000", "createdAt" : "2026-06-14T05:13:24.164", "lastUpdated" : "2026-06-15T09:00:29.912", "ingestTimestamp" : "2026-06-14T05:13:24.164", "mongoId" : "6a2cce5d74d8ee00a0a2bfe6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Complex queries", "Aggregations", "Window functions", "Data manipulation", "Exploratory analysis", "Basic modeling", "Data analysis", "Marketing analytics", "Business intelligence", "Business strategy", "Budget allocation", "Performance analysis", "Opportunity identification", "Problem solving", "Stakeholder presentation", "Mobile gaming", "Mobile apps", "E-commerce", "UA analytics", "Growth analytics", "Player behavior", "Game economy", "Tableau", "Looker", "Power BI" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1141.6678, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c694f74d8ee00a0906e2e", "title" : "Enterprise Data Governance Lead", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Lead Enterprise Data Governance roles in LaVergne, TN, adjusted for the logistics industry and full-time employment." }, "location" : "LaVergne, TN", "locations" : [ "LaVergne, TN" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T09:25:41.131", "fingerprint" : "ed0143553cb1ee96522cc6ca79596f04d711b34f4c19553ad6d7669d70644d6a", "source" : "jazzhr", "language" : "en", "externalId" : "62PPsD3MqM", "industryFunction" : { }, "structuredLocations" : [ { "city" : "LaVergne", "state" : "Tennessee", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.0434585,-86.5849283" } ], "locationText" : "LaVergne, Tennessee, United States", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data governance", "Data strategy", "Stakeholder management", "Business acumen" ], "hardSkillsList" : [ "Data modeling", "ETL processes", "Data warehousing", "Statistical analysis", "Machine learning", "Data quality", "Metadata management", "Data lineage", "Data security", "Data privacy" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Metadata management", "level" : "intermediate" }, { "name" : "Data lineage", "level" : "intermediate" }, { "name" : "Data security", "level" : "intermediate" }, { "name" : "Data privacy", "level" : "intermediate" } ], "majorSkills" : "Data governance, Data engineering, Machine learning", "majorSkillsList" : [ "Data governance", "Data engineering", "Machine learning" ], "coreResponsibilities" : "Develop and implement data governance policies, Establish data quality standards, Define data lineage and metadata management processes, Oversee data security and privacy controls, Collaborate with data engineers and analysts, Provide guidance on data architecture, Ensure compliance with regulations, Drive data strategy initiatives", "teamCollaboration" : "Cross-functional teams; Data stewards; Business stakeholders", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "Data governance frameworks; Regulatory compliance; Data privacy laws", "domainList" : [ "data-governance-frameworks", "regulatory-compliance", "data-privacy-laws" ], "domainSpecificKnowledge" : [ "Data governance frameworks", "Regulatory compliance", "Data privacy laws" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Executive presentations; Technical documentation", "documentationSkills" : "Data dictionaries; Policy documentation", "problemSolvingSkills" : "Root cause analysis; Data quality issues", "outcomesObjectives" : "Improve data quality; Enhance data security; Ensure regulatory compliance; Enable data-driven decisions", "qualificationsBasic" : "5+ years experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree preferred, PhD preferred", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Enterprise Data Governance Lead. 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Client services; Strategy teams; Media planning teams; Agency deliverables; Account teams", "domainKnowledge" : "Marketing ecosystem; Digital marketing; Marketing activities; Customer behaviour; Marketing strategy", "domainList" : [ "marketing-ecosystem", "digital-marketing", "marketing-activities", "customer-behaviour", "marketing-strategy" ], "domainSpecificKnowledge" : [ "Marketing ecosystem", "Digital marketing", "Marketing activities", "Customer behaviour", "Marketing strategy" ], "toolProficiency" : [ "PowerBI", "Tableau", "Google Analytics", "Microsoft Word", "Microsoft Excel", "Microsoft PPT" ], "communicationSkills" : "Written output; Verbal output; Client presentations", "continuousLearning" : "Learning culture", "problemSolvingSkills" : "Analytical skills; Resolve data issues", "qualificationsBasic" : "3+ years working in marketing, Experience with Python, Experience with SQL, Experience with R, Experience with reporting dashboard design, Experience with PowerBI, Experience with Tableau, Experience with web analytics platforms, Experience with Google Analytics, High level Microsoft Word skills, High level Excel skills, High level PPT skills, Attention to detail, Commitment to accuracy, Well-developed numeracy skills, Translate business needs to analytical methods, Good written communication skills, Good verbal communication skills, High level analytical skills, Understanding of methodologies to calculate incremental uplift, Knowledge of advanced data analysis techniques, Knowledge of customer segmentation, Knowledge of predictive modelling, Knowledge of multivariate analysis, Knowledge of querying and reporting tools, Knowledge of A/B testing, Knowledge of statistical significance", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "workSiteFlexibility" : "Hybrid", "rawDescription" : "Who We Are VML, part of WPP, is a leading creative company that combines brand experience, customer experience, and commerce, creating connected brands to drive growth. VML is celebrated for its innovative and human first, award-winning work for blue chip client partners including AstraZeneca, Colgate-Palmolive, Dell, Ford, Microsoft, Nestlé, The Coca-Cola Company, and Wendy' s. The agency is recognized by the Forrester Wave™ Reports, as a Leader among Marketing Creative and Content Service Providers, Commerce Services, Global Digital Experience Services, Global Marketing Services and, most recently, Marketing Measurement & Optimization. In addition, VML’s specialist health network, VML Health, is one of the world’s largest and most awarded health agencies. VML’s global network is powered by 26,000 talented people across 55+ markets, with principal offices in Kansas City, New York, Detroit, London, São Paulo, Shanghai, Singapore, and Sydney. About WPP WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com. Who we’re looking for: An Analyst with a strong aptitude to turn data into insights and clear recommendations for clients. Working within the VML Data & Analytics team, you will analyse data across the digital and marketing ecosystem to understand what is working, and what needs to be optimised. Working closely with the wider analytics and data team you will be responsible for the delivery of measurement and insight projects across various digital and marketing activities and contribute to answering business questions, ensuring that we are making best use of available data to deliver against the client vision. On a day-to-day basis you will take ownership of analysis projects, delivering them to a high degree of accuracy and take a role in presenting results and insights to clients. This will be developed and delivered with the wider team of client services, strategy and media planning so a team player is a must. Communication and interpersonal skills are important, both in collaborating with clients and colleagues across multiple disciplines. What you’ll be doing: Deliver end-to-end analyses aimed at helping Marketing to improve the experience of the customer Deliver measurement and effectiveness projects, including dashboard reporting and deep dive evaluations to understand the impact marketing has on customer behaviour Assist senior analysts on developing customer projects (segmentation, modelling), using statistical techniques to develop a deep understanding of customers Ensure that the most relevant methodologies are applied to measure and evaluate, proactively recommending better ways of working Develop and provide written and verbal output on reports and presentations, supporting with recommendations on marketing strategy Manage and resolve data issues involving quality and consistency of data Be the clients trusted advisor on data and analytical methodology - make it easy for them to make business decisions based on data Present to clients and attend client meetings. Be highly collaborative in integrating data work into agency deliverables, working with strategy and account teams to develop a culture of data informed decision-making. Develop the skills and knowledge of colleagues, creating and sustaining a learning culture within the team. What you’ll need: 3+ years working in a marketing environment as an analyst Experience of coding languages such as Python, SQL, R Experience of devising, implementing, and managing reporting dashboard design, update and automation using tools such as PowerBI and Tableau Experience of web analytics platforms such as Google Analytics High level Microsoft Word, Excel and PPT skills Attention to detail and a commitment to accuracy Well-developed numeracy skills Able to translate business needs and requirements to analytical methods and outputs Good written and verbal communication skills High level analytical skills in relation to performance analysis, including an understanding of different methodologies to calculate incremental uplift Knowledge of advanced data analysis techniques that include customer segmentation, predictive modelling, multivariate analysis, querying and reporting tools, A/B testing and statistical significance At VML, we are committed to fostering an all-inclusive work environment that is both rewarding and career-forward. Our Inclusion, Equity & Belonging initiatives, alongside the VML Foundation, reflect our dedication to giving back and making a positive impact in our communities and beyond. Our people are the heartbeat of our organization—creators, doers, innovators, makers, and thinkers—who drive not just marketing, but meaningful experiences that resonate in every action and interaction. VML is a WPP Agency. For more information, please visit our website, and follow VML on our social channels via Instagram, LinkedIn, and  X. When you click \"Submit Application\", this will send any information you add below to VML. Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy. California residents should read our California Recruitment Privacy Notice. This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it. Who we are: At VML, we are a beacon of innovation and growth in an ever-evolving world. Our heritage is built upon a century of combined expertise, where creativity meets technology, and diverse perspectives ignite inspiration. With the merger of VMLY&R and Wunderman Thompson, we have forged a new path as a growth partner that is part creative agency, part consultancy, and part technology powerhouse. Our global family now encompasses over 30,000 employees across 150+ offices in 64 markets, each contributing to a culture that values connection, belonging, and the power of differences. Our expertise spans the entire customer journey, offering deep insights in communications, commerce, consultancy, CRM, CX, data, production, and technology. We deliver end-to-end solutions that result in revolutionary work. We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office an average of four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP (VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. VML is a WPP agency (NYSE: WPP). For more information, please visit  www.vml.com, and follow along on Instagram, LinkedIn, and  X. When you click \"Submit Application\", this will send any information you add below to VML. Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy. California residents should read our California Recruitment Privacy Notice. This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.", "summaryDescription" : "Data Analyst at VML. Skills: Data analysis, Reporting, Customer behaviour, Marketing strategy. Deliver end-to-end analyses. Improve customer experience", "postedDate" : "2026-06-11T18:34:27.946", "createdAt" : "2026-06-11T18:34:27.946", "lastUpdated" : "2026-06-13T19:09:20.104", "ingestTimestamp" : "2026-06-11T18:34:27.946", "mongoId" : "6a2a767a74d8ee00a065c57e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Reporting dashboard design", "Web analytics", "Performance analysis", "Incremental uplift calculation", "Customer segmentation", "Predictive modelling", "Multivariate analysis", "Querying", "Reporting", "A/B testing", "Statistical significance", "Customer behaviour", "Marketing strategy", "Marketing ecosystem", "Digital marketing", "Marketing activities", "PowerBI", "Tableau", "Google Analytics", "Microsoft Word", "Microsoft Excel", "Microsoft PPT" ], "skillCount" : 23, "jobCategory" : "marketing", "jobSubcategory" : "marketing-effectiveness-&-intelligence", "dataQualityScore" : 0.7777778, "_score" : 1133.5066, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2c6acc74d8ee00a090e0cb", "title" : "Senior Data Engineer", "company" : "Firmus Technologies", "industry" : "Technology", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data Engineer in Singapore, adjusted for seniority, technology industry, and company size." }, "location" : "Singapore", "locations" : [ "Singapore" ], "timestamp" : "2026-06-15T05:19:35.858", "fingerprint" : "60b64839576f9439744a64902e9d44139fc7bb80e6aa9ba648528671fab45db0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/firmus/jobs/4989828008", "externalId" : "4989828008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, Kafka, Snowflake, BigQuery, Databricks, Kubernetes, Helm, Vector database", "professionalSkills" : [ "Data platform design", "Data platform build", "Data platform operation", "Schema evolution", "Latency SLOs", "Storage solutions", "Technology selection", "Data quality validation", "Data observability", "Transformation layer", "Semantic layer", "Vector retrieval", "Data catalogue", "Lineage tracking", "Access control", "Data contracts", "Capacity planning", "Incident response" ], "hardSkillsList" : [ "Streaming ingestion", "Batch ingestion", "Time-series databases", "Columnar databases", "Query optimization", "Storage tuning", "Pipeline orchestration", "Data transformation", "Data quality testing", "Infrastructure-as-code", "Stateful workloads" ], "hardSkills" : [ { "name" : "Streaming ingestion", "level" : "intermediate" }, { "name" : "Batch ingestion", "level" : "intermediate" }, { "name" : "Time-series databases", "level" : "intermediate" }, { "name" : "Columnar databases", "level" : "intermediate" }, { "name" : "Query optimization", "level" : "intermediate" }, { "name" : "Storage tuning", "level" : "intermediate" }, { "name" : "Pipeline orchestration", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data quality testing", "level" : "intermediate" }, { "name" : "Infrastructure-as-code", "level" : "intermediate" }, { "name" : "Stateful workloads", "level" : "intermediate" } ], "majorSkills" : "Data platform, Streaming pipelines, Data quality, Data governance", "majorSkillsList" : [ "Data platform", "Streaming pipelines", "Data quality", "Data governance" ], "coreResponsibilities" : "Design streaming ingestion pipelines, Operate streaming ingestion pipelines, Design batch ingestion pipelines, Operate batch ingestion pipelines, Own reliability, Own schema evolution, Own latency SLOs, Design storage solutions, Implement storage solutions, Select appropriate technology, Own technology operation, Implement data quality validation, Build cross-layer observability, Surface and resolve issues, Build transformation layer, Define semantic layer, Design vector retrieval pipelines, Implement data catalogue, Implement lineage tracking, Implement access control, Implement data contracts, Deploy data platform components, Operate data platform components", "teamCollaboration" : "Across teams", "projectManagementSkills" : [ "Infrastructure-as-code", "CI/CD integration", "Secrets management", "Backup and restore", "Capacity planning", "Incident response" ], "domainKnowledge" : "GPU compute; AI infrastructure; AI factories; AI models; AI agent use cases; SOC 2 Type 2; ISO 27001", "domainList" : [ "gpu-compute", "ai-infrastructure", "ai-factories", "ai-models", "ai-agent-use-cases", "soc-2-type-2", "iso-27001" ], "domainSpecificKnowledge" : [ "GPU compute", "AI infrastructure", "AI factories", "AI models", "AI agent use cases", "SOC 2 Type 2", "ISO 27001" ], "toolProficiency" : [ "Kafka", "Airflow", "Dbt", "Helm", "Kubernetes" ], "communicationSkills" : "Clear communication; Effective communication; Written communication; Spoken communication", "problemSolvingSkills" : "Anomaly detection; Resolve issues", "qualificationsBasic" : "Bachelor's degree in computer science, 7+ years of experience in data engineering, 3 years owning production data platform, Proficiency in Python and SQL, Experience with event streaming platforms, Experience with columnar and time-series databases, Experience with pipeline orchestration tooling, Experience with data transformation tooling, Kubernetes experience", "qualificationsPreferred" : "Focus on cloud infrastructure, Hybrid infrastructure experience, Self-hosted infrastructure experience, Managed cloud services experience, Familiarity with vector database integration, Awareness of SOC 2 Type 2 requirements, Awareness of ISO 27001 requirements", "rawDescription" : "Firmus Technologies Firmus Technologies is a global leader pioneering the development and operation of efficient AI infrastructure across Asia Pacific. Founded in Australia in 2019, our mission is to create the most efficient AI infrastructure by combining cutting-edge technology with a steadfast commitment to sustainability. At Firmus, we are unique in our approach. We design, build, and operate a new class of digital infrastructure – the AI Factory. Through our model-to-grid technology approach, we have pushed the boundaries of multi-generational liquid cooling systems, energy management, AI software orchestration, and construction. For our customers, this approach allows us to make every watt count and deliver low-cost AI tokens globally. Firmus AI Cloud Our large-scale GPU cloud platform, Firmus AI Cloud, is purpose-built to deliver energy-efficient AI compute at scale to customers. It empowers developers, enterprises, educational institutions, and government users to train and deploy AI models with unmatched efficiency and cost savings. With an ever-growing suite of services and applications, we are committed to delivering a cloud experience that is market-leading, proprietary, and built to scale. ROLE Firmus Technologies is seeking a Senior Data Engineer to join our Engineering and Technology team. You will lead the design, build and operation of self-hosted data platform across its full stack: streaming telemetry off GPU compute and cooling systems, data lake feeding hardware failure prediction models, AI-native layers powering agent-based workflows, and the governance layer that makes them secure and discoverable. This is the platform that connecting AI workload performance to energy efficiency across Firmus AI factories. KEY RESPONSIBILITIES Data Ingestion & Pipelines Design and operate streaming and batch ingestion pipelines from GPU cluster telemetry, cooling sensors, power grid, and incident data. Own reliability, schema evolution, and latency SLOs from source to storage. Storage & Modelling Design and implement storage solutions across columnar, time-series, relational, object, and vector store patterns. Select the appropriate technology for each workload and own its operation end-to-end. Data Quality & Observability Implement data quality validation across ingestion, transformation, and serving layers, covering completeness, freshness, schema consistency, and anomaly detection. Build cross-layer observability to surface and resolve issues before they reach downstream consumers or AI models. Transformation & Serving Build the transformation layer that produces clean, well-modelled data from raw ingested data. Define the semantic layer serving BI tooling, internal analytics, and customer-facing reporting. Design vector retrieval pipelines for AI agent use cases including hardware failure prediction. Governance & Trust Implement data catalogue, lineage tracking, access control, and data contracts across teams. Ensure data is discoverable, auditable, and compliant with SOC 2 Type 2 and ISO 27001 requirements. Platform Deployment & Operation Deploy and operate all data platform components via infrastructure-as-code on Kubernetes, covering Helm-based deployments, CI/CD integration, secrets management, backup and restore, capacity planning, and incident response for self-hosted infrastructure. SKILLS AND EXPERIENCE Bachelor's degree in computer science or a related technical field. 7+ years of experience in data engineering, ideally with a focus on cloud infrastructure, including at least 3 years owning a production data platform end-to-end, with demonstrated experience operating hybrid infrastructure: self-hosted infrastructure and managed cloud services such as Snowflake, BigQuery, or Databricks. Proven track record in designing and implementing large scale data platforms that integrate various components with data source from multiple regions Strong proficiency in Python and SQL. Hands-on experience with event streaming platforms such as Kafka for high-throughput, low-latency ingestion. Production experience with both columnar and time-series databases, including query optimisation and storage tuning at scale. Experience with pipeline orchestration and data transformation tooling such as Airflow and dbt, including data quality testing and validation as part of standard pipeline development. Practical knowledge of data observability - monitoring data freshness, schema drift, volume anomalies, and lineage across a live data stack. Kubernetes experience covering Helm-based deployments, infrastructure-as-code, and operation of stateful workloads. Familiarity with vector database integration and embedding pipelines for LLM and AI agent use cases. Working knowledge of data governance frameworks, access control design, and data contracts, with awareness of SOC 2 Type 2 and ISO 27001 requirements. Clear and effective communication in English, both written and spoken.", "summaryDescription" : "Senior Data Engineer at Firmus Technologies. Skills: Data platform, Streaming pipelines, Data quality, Data governance. Design streaming ingestion pipelines. Operate streaming ingestion pipelines", "postedDate" : "2026-06-13T20:07:46.951", "createdAt" : "2026-06-13T20:07:46.951", "lastUpdated" : "2026-06-15T05:19:35.858", "ingestTimestamp" : "2026-06-13T20:07:46.951", "mongoId" : "6a2c6acc74d8ee00a090e0cb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Streaming ingestion", "Batch ingestion", "Time-series databases", "Columnar databases", "Query optimization", "Storage tuning", "Pipeline orchestration", "Data transformation", "Data quality testing", "Infrastructure-as-code", "Stateful workloads", "Data platform", "Streaming pipelines", "Data quality", "Data governance", "Data platform design", "Data platform build", "Data platform operation", "Schema evolution", "Latency SLOs", "Storage solutions", "Technology selection", "Data quality validation", "Data observability", "Transformation layer", "Semantic layer", "Vector retrieval", "Data catalogue", "Lineage tracking", "Access control", "Data contracts", "Capacity planning", "Incident response", "CI/CD integration", "Secrets management", "Backup and restore", "GPU compute", "AI infrastructure", "AI factories", "AI models", "AI agent use cases", "SOC 2 Type 2", "ISO 27001", "Kafka", "Airflow", "Dbt", "Helm", "Kubernetes" ], "skillCount" : 48, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1125.7507, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a538674d8ee00a05fe923", "title" : "Data/AI Governance SME", "company" : "Exadel", "salary" : { "min" : 95000.0, "max" : 140000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data/AI Governance SME in Bulgaria, adjusted for the technology industry and remote work." }, "location" : "Bulgaria", "locations" : [ "Bulgaria", "Georgia", "Poland", "Romania" ], "timestamp" : "2026-06-14T08:47:37.739", "fingerprint" : "78e80daca73045524ed34a14e770410b905386fcd7d2614abe47b20a4b64019a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/externaljobboards/jobs/6017116004", "externalId" : "6017116004", "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Data governance, Data privacy, Enterprise data management, GDPR, EU data residency, Access control, Data protection, Enterprise data platforms, Analytics, AI initiatives, Azure, Microsoft Fabric, Databricks, AWS", "professionalSkills" : [ "Data ownership", "Access rights", "Permissions", "Data sharing rules", "Approval flows", "Security compliance", "AI governance", "Responsible AI", "GenAI governance", "Operating models", "Governance requirements", "Compliance considerations" ], "hardSkillsList" : [ "Data governance", "AI governance", "Data privacy", "Enterprise data management", "GDPR compliance", "Data residency", "Access control", "Data protection", "Risk identification" ], "hardSkills" : [ { "name" : "Data governance", "level" : "intermediate" }, { "name" : "AI governance", "level" : "intermediate" }, { "name" : "Data privacy", "level" : "intermediate" }, { "name" : "Enterprise data management", "level" : "intermediate" }, { "name" : "GDPR compliance", "level" : "intermediate" }, { "name" : "Data residency", "level" : "intermediate" }, { "name" : "Access control", "level" : "intermediate" }, { "name" : "Data protection", "level" : "intermediate" }, { "name" : "Risk identification", "level" : "intermediate" } ], "majorSkills" : "Data governance, AI governance, Data privacy", "majorSkillsList" : [ "Data governance", "AI governance", "Data privacy" ], "coreResponsibilities" : "Review data governance maturity, Review ownership model, Review decision-making gaps, Define data ownership principles, Support definition of access rights, Support definition of permissions, Support definition of data sharing rules, Support definition of approval flows, Validate EU data residency, Validate GDPR, Validate security considerations, Validate compliance considerations, Support AI governance guardrails, Support safe AI usage, Support shadow AI mitigation, Support data protection, Support responsible use principles, Advise on governance requirements, Review platform recommendations, Review architecture recommendations, Contribute to operating model, Provide input into Phase 2 roadmap", "teamCollaboration" : "Business stakeholders; IT stakeholders; Security stakeholders; Legal stakeholders; Compliance stakeholders", "domainKnowledge" : "Data governance; AI governance; Data privacy; Enterprise data management; GDPR; EU data residency; Access control; Data protection; Responsible AI; GenAI governance", "domainList" : [ "data-governance", "ai-governance", "data-privacy", "enterprise-data-management", "gdpr", "eu-data-residency", "access-control", "data-protection", "responsible-ai", "genai-governance" ], "domainSpecificKnowledge" : [ "Data governance", "AI governance", "Data privacy", "Enterprise data management", "GDPR", "EU data residency", "Access control", "Data protection", "Responsible AI", "GenAI governance" ], "problemSolvingSkills" : "Identify governance risks", "qualificationsBasic" : "Experience in data governance, Experience in AI governance, Experience in data privacy, Experience in enterprise data management, Understanding of GDPR, Understanding of EU data residency, Understanding of access control, Understanding of data protection requirements, Experience working with enterprise data platforms, Experience working with analytics initiatives, Experience working with AI initiatives, Ability to translate governance requirements into practical delivery recommendations, Experience working with business stakeholders, Experience working with IT stakeholders, Experience working with security stakeholders, Experience working with legal stakeholders, Experience working with compliance stakeholders, Ability to identify governance risks", "qualificationsPreferred" : "Experience with AI adoption, Experience with responsible AI, Experience with GenAI governance, Experience in manufacturing, Experience in multi-site enterprise, Experience in logistics, Experience in supply chain, Experience in process-heavy organizations, Familiarity with cloud data platforms, English level Upper-Intermediate", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. What You’ll Do Review current data governance maturity, ownership model, and decision-making gaps Define high-level data ownership principles across business and IT stakeholders Support definition of access rights, permissions, data sharing rules, and approval flows Validate EU data residency, GDPR, security, and compliance considerations relevant to the target platform Support AI governance guardrails, including safe AI usage, shadow AI mitigation, data protection, and responsible use principles Advise on governance requirements for future AI / automation use cases Review platform and architecture recommendations from a governance and compliance perspective Contribute to the operating model for future data / AI platform support Provide input into Phase 2 roadmap regarding governance, controls, ownership, and readiness What You Bring Experience in data governance, AI governance, data privacy, or enterprise data management Understanding of GDPR, EU data residency, access control, and data protection requirementsEx perience working with enterprise data platforms, analytics, or AI initiatives Ability to translate governance requirements into practical delivery recommendations Experience working with business, IT, security, legal, and compliance stakeholders Strong ability to identify governance risks without overcomplicating delivery Nice to Have Experience with AI adoption, responsible AI, or GenAI governance Experience in manufacturing, multi-site enterprise, logistics, supply chain, or process-heavy organizations Familiarity with cloud data platforms such as Azure, Microsoft Fabric, Databricks, AWS, or similar Experience defining operating models for data / analytics / AI platforms English level Upper-Intermediate Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.", "summaryDescription" : "Data/AI Governance SME at Exadel. Skills: Data governance, AI governance, Data privacy. Review data governance maturity. Review ownership model", "postedDate" : "2026-06-11T18:33:23.275", "createdAt" : "2026-06-11T18:33:23.275", "lastUpdated" : "2026-06-14T08:47:37.739", "ingestTimestamp" : "2026-06-11T18:33:23.275", "mongoId" : "6a2a538674d8ee00a05fe923", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data governance", "AI governance", "Data privacy", "Enterprise data management", "GDPR compliance", "Data residency", "Access control", "Data protection", "Risk identification", "Data ownership", "Access rights", "Permissions", "Data sharing rules", "Approval flows", "Security compliance", "Responsible AI", "GenAI governance", "Operating models", "Governance requirements", "Compliance considerations", "GDPR", "EU data residency" ], "skillCount" : 22, "jobCategory" : "other", "jobSubcategory" : "data-processing-&-analysis-department", "dataQualityScore" : 0.8888889, "_score" : 1124.7616, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2acaa274d8ee00a070c49d", "title" : "Senior Analyst - Sales Strategy & Operations", "company" : "Salesforce", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Analyst - Sales Strategy & Operations in London, UK, adjusted for mid-seniority, full-time employment in the SaaS industry." }, "location" : "United Kingdom", "locations" : [ "United Kingdom" ], "timestamp" : "2026-06-15T01:14:31.310", "fingerprint" : "bd951e361f6bb3f1f926374dbeaad1c0f9c397b88084c74f81b1751ccc904b68", "source" : "workday", "language" : "en", "applyUrl" : "https://salesforce.wd12.myworkdayjobs.com/External_Career_Site/job/United-Kingdom---London/Senior-Analyst---Sales-Strategy---Operations_JR344742", "externalId" : "JR344742", "locationPoint" : "55.3781,-3.436", "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" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Snowflake, Tableau, CRM Analytics", "professionalSkills" : [ "Sales strategy", "Sales operations", "Business analytics", "Go-to-market strategy", "Capacity modelling", "Coverage design" ], "hardSkillsList" : [ "Data analysis", "Reporting", "Forecasting", "Pipeline analysis", "Productivity tracking", "Business reviews", "Performance trends", "Growth levers", "Operating rhythm", "Strategic projects", "Ad-hoc initiatives", "Segmentation", "Process optimisation", "Data quality" ], "softSkillsList" : [ "Communication", "Storytelling", "Ownership mindset", "Growth mindset", "Entrepreneurial energy" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" }, { "name" : "Forecasting", "level" : "intermediate" }, { "name" : "Pipeline analysis", "level" : "intermediate" }, { "name" : "Productivity tracking", "level" : "intermediate" }, { "name" : "Business reviews", "level" : "intermediate" }, { "name" : "Performance trends", "level" : "intermediate" }, { "name" : "Growth levers", "level" : "intermediate" }, { "name" : "Operating rhythm", "level" : "intermediate" }, { "name" : "Strategic projects", "level" : "intermediate" }, { "name" : "Ad-hoc initiatives", "level" : "intermediate" }, { "name" : "Segmentation", "level" : "intermediate" }, { "name" : "Process optimisation", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Communication" }, { "name" : "Storytelling" }, { "name" : "Ownership mindset" }, { "name" : "Growth mindset" }, { "name" : "Entrepreneurial energy" } ], "majorSkills" : "Sales strategy, Sales operations, Data analysis, Reporting", "majorSkillsList" : [ "Sales strategy", "Sales operations", "Data analysis", "Reporting" ], "coreResponsibilities" : "Support business partners, Support sales leaders, Drive forecasting, Drive pipeline analysis, Drive AE productivity tracking, Drive business reviews, Develop dashboards, Develop tools, Uncover performance trends, Uncover new opportunities, Conduct analysis of business performance, Support operational decisions, Identify growth levers, Partner with senior UKI leadership, Contribute to operating rhythm, Contribute to quarterly reviews, Contribute to strategic projects, Provide analytical support, Provide recommendations, Prepare data-driven insights, Prepare analysis, Prepare presentations, Guide business strategy, Support ad-hoc initiatives, Lead ad-hoc initiatives, Define go-to-market strategies, Operationalise go-to-market strategies, Assist in segmentation, Assist in capacity modelling, Assist in coverage design, Ensure execution excellence, Identify process optimisation opportunities, Streamline existing processes, Automate existing processes, Implement scalable solutions, Improve efficiency, Improve data quality", "teamCollaboration" : "Cross-functional projects; Change management initiatives; Business scaling; Senior leaders; Sales leadership; Cross-functional leadership; UKI leadership; UKI Clouds organisation", "projectManagementSkills" : [ "Change management" ], "domainKnowledge" : "SaaS; High-growth environment", "domainList" : [ "saas", "high-growth-environment" ], "domainSpecificKnowledge" : [ "SaaS", "High-growth environment" ], "toolProficiency" : [ "Google Sheets", "Excel", "Slides", "PowerPoint", "Tableau", "CRM Analytics", "Snowflake" ], "communicationSkills" : "Storytelling; Simplify complex data; Presentations", "continuousLearning" : "Professional development; Mentorship programs", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Analytical skills; Data analysis", "specialRequirements" : "Work from London office 3 days/week", "qualificationsBasic" : "Business analytics experience, Sales operations experience, Sales strategy experience, Proficiency in SQL, Advanced Google Sheets/Excel skills, Advanced presentation tools skills", "qualificationsPreferred" : "SaaS experience, High-growth environment experience, Snowflake experience, Experience with Tableau, Experience with CRM Analytics, Experience with Slides, Experience with PowerPoint", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "_To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts._ Job Category Operations Job Details ****About Salesforce**** Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Sales Strategy & Operations is a pivotal function at Salesforce, driving us toward profitable growth at scale. We collaborate closely with senior leaders, serving as trusted advisors who influence strategic business priorities, develop long-term GTM strategies, and implement effective operational processes, systems, and tools. We champion cross-functional transformational projects and lead change management initiatives, ensuring seamless business scaling across regions, segments, and clouds. Now, we are seeking a motivated Sales Strategy Analyst to join the UKI Core Sales Strategy team. As part of a diverse analyst talent community in the UKI Core Sales Strategy Team, you'll delve into data, crafting insightful analyses and building robust reporting tools/assets that illuminate business performance. This role offers significant visibility to senior leaders across UK and Ireland, empowering you to translate data into actionable recommendations that drive the success of sales and cross-functional leadership. **Your Responsibilities & Impact** * **Strategy & Execution Partner:** Support business partners and sales leaders across the UKI Core business. Drive day-to-day execution including forecasting, pipeline analysis, AE productivity tracking, and business reviews. * **Data-Driven Insights:** Develop dashboards and tools that uncover performance trends and new opportunities. Conduct ongoing analysis of business performance to support operational decisions and identify growth levers. * **Leadership Support:** Partner directly with senior UKI leadership, contributing to the operating rhythm, quarterly reviews, and strategic projects. Provide analytical support and recommendations that influence leadership decisions. * **Strategic Decision-Making:** Prepare data-driven insights, analysis, and presentations that guide business strategy. Support or lead ad-hoc initiatives that have high visibility and impact across the UKI Clouds organisation. * **Go-to-Market Execution:** Assist in defining and operationalising go-to-market strategies, including segmentation, capacity modelling, and coverage design. Ensure execution excellence across planning and performance cycles. * **Process Optimisation:** Identify opportunities to streamline and automate existing processes. Implement scalable solutions that improve efficiency and data quality across reporting and analytics. **Desired Skills & Experience** * Some experience in business analytics AND sales operations / strategy — ideally in a SaaS or high-growth environment. * Strong analytical skills with proficiency in SQL (experience with Snowflake is a strong plus). * Experience with data visualisation tools such as Tableau or CRM Analytics. * Advanced skills in Google Sheets/Excel and presentation tools (Slides/PowerPoint). * Excellent communication and storytelling skills; able to simplify complex data for senior audiences. * Strong ownership mindset — proactive, detail-oriented, and results-driven. * Demonstrates a growth mindset, entrepreneurial energy, and comfort in a high-paced environment. * Can work from our London office at least 3 days per week. **Why Join Salesforce:** * **Innovative Culture:** Be part of a company that's reshaping the future with advanced AI models and cloud solutions * **Global Impact:** Contribute to products that are transforming industries worldwide * **Career Growth:** Access to professional development opportunities, mentorship programs, and a clear path for advancement * **Comprehensive Benefits:** Competitive compensation, health benefits, education reimbursements, family-first policies, wellness programs, and more * **Benefits & Perks: **Check out our[ benefits site ](https://salesforcebenefits.com/index.html)w Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and _be your best_ , and our AI agents accelerate your impact so you can _do your best_. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this [_Accommodations Request Form_](https://careers.mail.salesforce.com/accommodations-request-form?_ga=2.139086459.912759425.1690463420-976932181.1684251251). Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our [_Candidate Privacy Statement_](https://www.salesforce.com/en-us/wp-content/uploads/sites/4/documents/legal/Privacy/salesforce-candidate-privacy-statement-december-2024.pdf) for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. [Know your rights: workplace discrimination is illegal.](https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal) Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. ### ### ### ### ### ### ### ###", "summaryDescription" : "Senior Analyst - Sales Strategy & Operations at Salesforce. Skills: Sales strategy, Sales operations, Data analysis, Reporting. Support business partners. Support sales leaders", "postedDate" : "2026-06-11T02:20:27.648", "createdAt" : "2026-06-12T02:20:27.528", "lastUpdated" : "2026-06-15T01:14:31.310", "ingestTimestamp" : "2026-06-12T02:20:27.528", "mongoId" : "6a2acaa274d8ee00a070c49d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://salesforce.wd12.myworkdayjobs.com/External_Career_Site/job/United-Kingdom---London/Senior-Analyst---Sales-Strategy---Operations_JR344742", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Reporting", "Forecasting", "Pipeline analysis", "Productivity tracking", "Business reviews", "Performance trends", "Growth levers", "Operating rhythm", "Strategic projects", "Ad-hoc initiatives", "Segmentation", "Process optimisation", "Data quality", "Communication", "Storytelling", "Ownership mindset", "Growth mindset", "Entrepreneurial energy", "Sales strategy", "Sales operations", "Business analytics", "Go-to-market strategy", "Capacity modelling", "Coverage design", "Change management", "SaaS", "High-growth environment", "Google Sheets", "Excel", "Slides", "PowerPoint", "Tableau", "CRM Analytics", "Snowflake" ], "skillCount" : 35, "jobCategory" : "engineering", "seniorityLevel" : "senior", "dataQualityScore" : 1.0, "_score" : 1124.5168, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a840774d8ee00a0677b55", "title" : "Senior Data Analyst (Catalog)", "company" : "Coupang", "industry" : "Commerce", "salary" : { "min" : 7.5E7, "max" : 1.1E8, "currency" : "KRW", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Analyst in Seoul, South Korea, adjusted for the e-commerce industry and company size." }, "location" : "Seoul, South Korea", "locations" : [ "Seoul", "South Korea" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified" ], "timestamp" : "2026-06-13T05:09:44.751", "fingerprint" : "e9d5f144e4c48794388c4f9e47e534309a2e1857fa013a8b1ad9e50f8282984d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.coupang.jobs/en/jobs/?gh_jid=7919225", "externalId" : "7919225", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seoul", "country" : "South Korea", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "37.5666791,126.9782914" } ], "locationText" : "Seoul, South Korea", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "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, GCP, Azure", "professionalSkills" : [ "Business analysis", "Data engineering", "Data pipelines", "Data solutions", "Backend systems" ], "hardSkillsList" : [ "Data analysis", "Data modeling", "Data warehousing", "ETL", "Data quality", "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Data engineering, Data pipelines", "majorSkillsList" : [ "Data analysis", "Data engineering", "Data pipelines" ], "coreResponsibilities" : "Design scalable data solutions, Build data pipelines, Maintain data pipelines, Deliver actionable insights, Translate business needs, Implement backend data systems", "teamCollaboration" : "Catalog team; Business partners", "domainKnowledge" : "eCommerce; Product discovery; Commerce industry", "domainList" : [ "ecommerce", "product-discovery", "commerce-industry" ], "domainSpecificKnowledge" : [ "eCommerce", "Product discovery", "Commerce industry" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "innovationCreativity" : "Drive new initiatives; Launch new services; Drive innovation", "problemSolvingSkills" : "Solve problems", "specialRequirements" : "12 weeks probation", "qualificationsBasic" : "SQL proficiency, 5+ years experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified", "remoteFriendly" : false, "rawDescription" : "Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview The Catalog team plays a pivotal role in delivering a seamless eCommerce experience, as it directly shapes how customers discover and purchase products online. This role combines senior-level business analysis with strong data engineering expertise. The position focuses on designing scalable data solutions, building and maintaining robust data pipelines, and delivering actionable insights to support business decision-making. The ideal candidate is equally comfortable translating business needs into data requirements and implementing reliable, efficient backend data systems. What You Will Do Business Partnership provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes. · (Recruiter Note: add if probation period is applicable, for example in the case of contract position of 3 months or longer) This is a contract position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes. Privacy Notice · Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/ Document Return Policy 1. This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. 2. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. 3. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupang.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. 4. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. 5. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.", "summaryDescription" : "Senior Data Analyst (Catalog) at Coupang. Skills: Data analysis, Data engineering, Data pipelines. Design scalable data solutions. Build data pipelines", "postedDate" : "2026-06-11T18:36:21.706", "createdAt" : "2026-06-11T18:36:21.706", "lastUpdated" : "2026-06-13T05:09:44.751", "ingestTimestamp" : "2026-06-11T18:36:21.706", "mongoId" : "6a2a840774d8ee00a0677b55", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data modeling", "Data warehousing", "ETL", "Data quality", "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data engineering", "Data pipelines", "Business analysis", "Data solutions", "Backend systems", "eCommerce", "Product discovery", "Commerce industry", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "catalog-tech", "dataQualityScore" : 1.0, "_score" : 1114.4171, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Commerce" }, { "id" : "6a2c5fb974d8ee00a08ee124", "title" : "Cleared Hybrid Senior Data Engineer / Analyst", "company" : "cBEYONData", "salary" : { "min" : 112400.0, "max" : 189000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "cBEYONData", "locations" : [ "cBEYONData" ], "timestamp" : "2026-06-15T01:38:14.578", "fingerprint" : "ad4e8417e7a774246787b81ae7854eadd67da060e9b5c365908f3e30d782178d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ess/jobs/7766325003", "externalId" : "7766325003", "structuredLocations" : [ { "city" : "Hanover", "state" : "Maryland", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.1928853,-76.7241371" } ], "locationText" : "Hanover, Maryland, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Data Dictionaries, ERDs, Database schemas, Relational database concepts, Data modeling principles", "professionalSkills" : [ "Data analysis", "Data mapping", "Data architecture support", "Database analysis", "Enterprise data modernization", "Enterprise data integration", "Data governance", "Data standardization", "Data migration", "System integration", "Data management practices" ], "hardSkillsList" : [ "Data mapping", "Data lineage", "Transformation rules", "Data definitions", "Data quality issues", "Data standardization", "Data architecture artifacts", "Data management" ], "softSkillsList" : [ "Analytical skills", "Problem-solving skills", "Critical-thinking skills" ], "hardSkills" : [ { "name" : "Data mapping", "level" : "intermediate" }, { "name" : "Data lineage", "level" : "intermediate" }, { "name" : "Transformation rules", "level" : "intermediate" }, { "name" : "Data definitions", "level" : "intermediate" }, { "name" : "Data quality issues", "level" : "intermediate" }, { "name" : "Data standardization", "level" : "intermediate" }, { "name" : "Data architecture artifacts", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical skills" }, { "name" : "Problem-solving skills" }, { "name" : "Critical-thinking skills" } ], "majorSkills" : "Data mapping, Data lineage, Data integration, Data governance", "majorSkillsList" : [ "Data mapping", "Data lineage", "Data integration", "Data governance" ], "coreResponsibilities" : "Review Data Dictionaries, Analyze Data Dictionaries, Interpret Data Dictionaries, Review ERDs, Analyze ERDs, Interpret ERDs, Review interface control documents, Analyze interface control documents, Interpret interface control documents, Review technical artifacts, Analyze technical artifacts, Interpret technical artifacts, Develop enterprise Master Data Mapping documentation, Maintain enterprise Master Data Mapping documentation, Govern enterprise Master Data Mapping documentation, Document field-level mappings, Document transformation rules, Document data lineage, Document relationships across systems, Document relationships across data sources, Collaborate with system owners, Collaborate with database administrators, Collaborate with developers, Collaborate with business analysts, Collaborate with architects, Validate data definitions, Resolve mapping discrepancies, Analyze source system data models, Analyze target system data models, Identify relationships, Identify dependencies, Identify integration requirements, Identify data quality issues, Identify redundancies, Identify inconsistencies, Identify opportunities for data standardization, Support enterprise data governance initiatives, Assist with impact assessments, Ensure data mapping activities comply with DoD security, Ensure proper handling of CUI, Support development of enterprise data architecture artifacts, Support maintenance of enterprise data architecture artifacts, Support development of enterprise data architecture documentation, Support maintenance of enterprise data architecture documentation, Participate in data modernization planning, Participate in system integration planning, Provide recommendations to improve data consistency, Provide recommendations to improve data interoperability, Provide recommendations to improve enterprise data management, Serve as subject matter expert for enterprise data, Serve as subject matter expert for cross-system data", "teamCollaboration" : "Collaborate with technical stakeholders; Collaborate with multiple organizations", "domainKnowledge" : "Enterprise data modernization; Enterprise data integration; Relational databases; Data models; Data Dictionaries; ERDs; Master Data Mapping; Data lineage; Transformation rules; Data governance; Data standards; Data architecture; System integration; Data management; DoD security requirements; Controlled Unclassified Information (CUI); DoD data standards; Enterprise data strategies; Cloud-based data platforms; Cloud data architectures; Master Data Management (MDM)", "domainList" : [ "enterprise-data-modernization", "enterprise-data-integration", "relational-databases", "data-models", "data-dictionaries", "erds", "master-data-mapping", "data-lineage", "transformation-rules", "data-governance", "data-standards", "data-architecture", "system-integration", "data-management", "dod-security-requirements", "controlled-unclassified-information-cui", "dod-data-standards", "enterprise-data-strategies", "cloud-based-data-platforms", "cloud-data-architectures", "master-data-management-mdm" ], "domainSpecificKnowledge" : [ "Enterprise data modernization", "Enterprise data integration", "Relational databases", "Data models", "Data Dictionaries", "ERDs", "Master Data Mapping", "Data lineage", "Transformation rules", "Data governance", "Data standards", "Data architecture", "System integration", "Data management", "DoD security requirements", "Controlled Unclassified Information (CUI)", "DoD data standards", "Enterprise data strategies", "Cloud-based data platforms", "Cloud data architectures", "Master Data Management (MDM)" ], "communicationSkills" : "Written communication; Verbal communication; Technical documentation", "documentationSkills" : "Technical documentation; Data mapping documentation; Enterprise data architecture artifacts; Enterprise data architecture documentation", "problemSolvingSkills" : "Analytical; Problem-solving; Critical-thinking", "specialRequirements" : "Secret clearance", "outcomesObjectives" : "Support enterprise integration; Support data governance; Support modernization efforts", "qualificationsBasic" : "Bachelor's degree in information systems, Bachelor's degree in Computer Science, Bachelor's degree in Data Management, Bachelor's degree in Engineering, Bachelor's degree in Business Analytics, Minimum 5 years of professional experience, Experience documenting data mappings, Experience documenting transformation rules, Experience documenting data lineage, Experience with SQL, Experience with relational database technologies, Ability to independently analyze complex enterprise systems, Secret clearance", "qualificationsPreferred" : "Experience supporting enterprise data architecture, Experience supporting data governance, Experience supporting data management initiatives, Familiarity with metadata management tools, Familiarity with data cataloging tools, Experience supporting data migration, Experience supporting system integration, Experience supporting modernization efforts, Experience supporting federal government programs, Experience supporting DoD programs, Knowledge of DoD data standards, Knowledge of enterprise data strategies, Familiarity with cloud-based data platforms, Familiarity with cloud data architectures, Experience with data quality assessment, Experience with data profiling activities, Understanding of Master Data Management concepts, Experience creating enterprise data models, Experience maintaining enterprise data models", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "cBEYONData, a subsidiary of SMX, is seeking a Senior Data Mapping Analyst to support a federal customer's enterprise data modernization and integration initiatives. This role is responsible for analyzing complex data structures across legacy and modernized systems and translating technical data artifacts into a comprehensive enterprise data mapping framework. The ideal candidate possesses strong analytical skills, experience working with relational databases and data models, and the ability to collaborate effectively with technical stakeholders across multiple systems and organizations. This role will support enterprise data architecture efforts by reviewing Data Dictionaries, Entity-Relationship Diagrams (ERDs), interface specifications, and related technical documentation to establish and maintain authoritative cross-system data mappings, data lineage, and transformation rules. The successful candidate will operate with a high degree of independence, providing expert-level analysis and recommendations that support enterprise integration, data governance, and modernization efforts. This role is hybrid supporting a Hanover, MD program. Essential Duties & Responsibilities: • Review, analyze, and interpret Data Dictionaries, Entity-Relationship Diagrams (ERDs), interface control documents, and other technical artifacts from enterprise systems • Develop, maintain, and govern enterprise Master Data Mapping documentation to support data integration and modernization efforts • Document field-level mappings, transformation rules, data lineage, and relationships across multiple systems and data sources • Collaborate with system owners, database administrators, developers, business analysts, and architects to validate data definitions and resolve mapping discrepancies • Analyze source and target system data models to identify relationships, dependencies, and integration requirements • Identify data quality issues, redundancies, inconsistencies, and opportunities for data standardization across enterprise platforms • Support enterprise data governance initiatives through accurate documentation and adherence to established data standards • Assist with impact assessments related to system changes, data migrations, and integration efforts • Ensure all data mapping activities comply with DoD security requirements and proper handling of Controlled Unclassified Information (CUI) • Support development and maintenance of enterprise data architecture artifacts and documentation • Participate in data modernization and system integration planning activities • Provide recommendations to improve data consistency, interoperability, and enterprise data management practices • Serve as a subject matter expert for enterprise data mapping and cross-system data relationships Required Skills & Experience • Bachelor’s degree in information systems, Computer Science, Data Management, Engineering, Business Analytics, or related field • Minimum 5 years of professional experience in data analysis, data mapping, data architecture support, database analysis, or related technical disciplines • Demonstrated experience reviewing and interpreting Data Dictionaries, ERDs, database schemas, and technical documentation • Experience documenting data mappings, transformation rules, and data lineage across multiple systems • Strong understanding of relational database concepts, including tables, keys, relationships, normalization, and data modeling principles • Experience working with SQL and relational database technologies • Experience collaborating with technical and business stakeholders to gather, validate, and document data requirements • Ability to independently analyze complex enterprise systems and produce accurate technical documentation • Strong analytical, problem-solving, and critical-thinking skills • Excellent written and verbal communication skills with the ability to produce detailed technical documentation • Secret clearance Desired Skills & Experience • Experience supporting enterprise data architecture, data governance, or data management initiatives • Familiarity with metadata management and data cataloging tools • Experience supporting data migration, system integration, or modernization efforts • Experience supporting federal government or DoD programs • Knowledge of DoD data standards and enterprise data strategies • Familiarity with cloud-based data platforms and architectures • Experience working with data quality assessment and data profiling activities • Understanding of Master Data Management (MDM) concepts • Experience creating or maintaining enterprise data models Application Deadline: 7-31-2026 # LI-SA1 The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement. The proposed salary for this position is: $112,400—$189,000 USD SMX is an Equal Opportunity employer including disabilities and veterans. Selected applicant may be subject to a background investigation and/or education verification. SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i. e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).", "summaryDescription" : "Cleared Hybrid Senior Data Engineer / Analyst at cBEYONData. Skills: Data mapping, Data lineage, Data integration, Data governance. Review Data Dictionaries. Analyze Data Dictionaries", "postedDate" : "2026-06-12T22:30:36.456", "createdAt" : "2026-06-12T22:30:36.456", "lastUpdated" : "2026-06-15T01:38:14.578", "ingestTimestamp" : "2026-06-12T22:30:36.456", "mongoId" : "6a2c5fb974d8ee00a08ee124", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 112400, "salaryAnnualMax" : 189000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data mapping", "Data lineage", "Transformation rules", "Data definitions", "Data quality issues", "Data standardization", "Data architecture artifacts", "Data management", "Analytical skills", "Problem-solving skills", "Critical-thinking skills", "Data integration", "Data governance", "Data analysis", "Data architecture support", "Database analysis", "Enterprise data modernization", "Enterprise data integration", "Data migration", "System integration", "Data management practices", "Relational databases", "Data models", "Data Dictionaries", "ERDs", "Master Data Mapping", "Data standards", "Data architecture", "DoD security requirements", "Controlled Unclassified Information (CUI)", "DoD data standards", "Enterprise data strategies", "Cloud-based data platforms", "Cloud data architectures", "Master Data Management (MDM)" ], "skillCount" : 35, "jobCategory" : "other", "jobSubcategory" : "d&i-client-services", "dataQualityScore" : 0.8888889, "_score" : 1113.4203, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c8b3974d8ee00a09724e4", "title" : "Data Analyst", "company" : "Two95 International Inc.", "industry" : "Information Technology and Services", "salary" : { "min" : 105000.0, "max" : 165000.0, "currency" : "MYR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Analyst in Kuala Lumpur, Malaysia, within the Banking industry, adjusted for company size and full-time employment." }, "location" : "Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia", "locations" : [ "Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia" ], "timestamp" : "2026-06-15T12:31:22.534", "fingerprint" : "b6b996c97b6a0043039fab6b0f5e48754d516c2c5f22da269764bcaa7aa748f0", "source" : "workable", "language" : "en", "applyUrl" : "https://apply.workable.com/j/AEDB648739/apply", "externalId" : "AEDB648739", "industryFunction" : { }, "locationPoint" : "3.1412,101.68653", "structuredLocations" : [ { "city" : "Kuala Lumpur", "state" : "Federal Territory of Kuala Lumpur", "country" : "Malaysia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "3.1407927,101.6939439" } ], "locationText" : "Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL", "professionalSkills" : [ "Data mapping", "Requirement analysis", "Data transformation", "Data loading", "Technical specifications", "Data quality control", "Test scenarios", "Data validation", "Stakeholder management" ], "hardSkillsList" : [ "SQL query optimization", "Data comparison", "Data reconciliation", "Data validation", "Data quality control", "User Acceptance Testing" ], "hardSkills" : [ { "name" : "SQL query optimization", "level" : "intermediate" }, { "name" : "Data comparison", "level" : "intermediate" }, { "name" : "Data reconciliation", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data quality control", "level" : "intermediate" }, { "name" : "User Acceptance Testing", "level" : "intermediate" } ], "majorSkills" : "Data Analysis, SQL Development, Data Mapping, Requirement Analysis", "majorSkillsList" : [ "Data Analysis", "SQL Development", "Data Mapping", "Requirement Analysis" ], "coreResponsibilities" : "Gather business requirements, Analyze business requirements, Lead data mapping activities, Define source-to-target rules, Develop SQL queries, Optimize SQL queries, Define inclusion/exclusion criteria, Define joins, Define data loading requirements, Prepare requirement documentation, Prepare mapping documentation, Obtain business sign-off, Translate business requirements, Define data quality controls, Implement data quality controls, Define validation processes, Implement validation processes, Assist QA teams, Assist testing teams, Prepare test scenarios, Validate test results, Support UAT activities, Support UVT activities, Act as point of contact, Coordinate with business users, Coordinate with developers, Coordinate with testers, Ensure accurate delivery, Ensure timely delivery", "teamCollaboration" : "Business stakeholders; Development teams; Testing teams; Business users; Multiple teams", "projectManagementSkills" : [ "Agile methodologies", "Project delivery" ], "domainKnowledge" : "Commercial Banking; Institutional Banking; Credit Risk; Credit Portfolio; Credit Data Management; Data Warehousing; Data Store concepts; Banking Data Analytics; Banking Reporting", "domainList" : [ "commercial-banking", "institutional-banking", "credit-risk", "credit-portfolio", "credit-data-management", "data-warehousing", "data-store-concepts", "banking-data-analytics", "banking-reporting" ], "domainSpecificKnowledge" : [ "Commercial Banking", "Institutional Banking", "Credit Risk", "Credit Portfolio", "Credit Data Management", "Data Warehousing", "Data Store concepts", "Banking Data Analytics", "Banking Reporting" ], "communicationSkills" : "Stakeholder management", "documentationSkills" : "Requirement documentation; Mapping documentation", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "outcomesObjectives" : "Accurate data integration; Reporting delivery; Quality control delivery; Timely data solutions", "qualificationsBasic" : "5+ years experience, Data Mapping experience, Requirement Analysis experience, Advanced SQL skills, Data comparison experience, Data reconciliation experience, Data validation experience, Data Quality controls experience, User Acceptance Testing support, Data verification experience, Agile methodologies understanding", "qualificationsPreferred" : "Commercial & Institutional Banking knowledge, Credit Risk knowledge, Credit Portfolio knowledge, Credit Data Management knowledge, Data Warehousing concepts understanding, Data Store concepts understanding, Banking Data Analytics experience, Banking Reporting experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an experienced Data Analyst with 5+ years of experience to join our client's team. The successful candidate will play a key role in analyzing business requirements, performing data mapping, creating SQL-based solutions, and supporting data validation and testing activities. You will work closely with business stakeholders, development teams, and testing teams to ensure accurate data integration, reporting, and quality control across banking-related projects. **Requirements** ### Key Responsibilities * Gather and analyze business requirements related to data sourcing and reporting. * Lead data mapping activities and define source-to-target data transformation rules. * Develop and optimize SQL queries for data extraction, validation, and analysis. * Define inclusion/exclusion criteria, joins, and data loading requirements. * Prepare requirement and mapping documentation and obtain business sign-off. * Support development teams by translating business requirements into technical specifications. * Define and establish data quality controls and validation processes. * Assist QA and testing teams in preparing test scenarios and validating test results. * Support User Acceptance Testing (UAT/UVT) activities and act as the primary point of contact during validation. * Coordinate with business users, developers, and testers throughout the project lifecycle. * Ensure accurate and timely delivery of data-related solutions. ### Required Skills ### Must-Have * Minimum 5 years of experience as a Data Analyst. * Strong experience in Data Mapping and Requirement Analysis. * Advanced SQL skills with the ability to write and optimize complex queries. * Strong data comparison, reconciliation, and validation experience. * Experience defining and implementing Data Quality controls. * Experience supporting User Acceptance Testing (UAT/UVT) and data verification. * Good understanding of Agile methodologies and project delivery. ### Preferred Domain Knowledge * Understanding of Commercial & Institutional Banking (CIB). * Knowledge of Credit Risk, Credit Portfolio, and Credit Data Management. * Understanding of Data Warehousing and Data Store concepts. * Experience in Banking Data Analytics and Reporting environments. ### What We're Looking For * Strong analytical and problem-solving skills. * Excellent stakeholder management and communication skills. * Ability to work independently and take ownership of deliverables. * Proactive, self-motivated, and able to collaborate across multiple teams. * Comfortable acting as a single point of contact between business and technology teams. If you have a passion for data analysis, SQL development, and banking data transformation projects, we'd love to hear from you.", "summaryDescription" : "Data Analyst at Two95 International Inc.. Skills: Data Analysis, SQL Development, Data Mapping, Requirement Analysis. Gather business requirements. Analyze business requirements", "postedDate" : "2026-06-12T00:00:00.000", "createdAt" : "2026-06-13T21:44:34.348", "lastUpdated" : "2026-06-15T12:31:22.534", "ingestTimestamp" : "2026-06-13T21:44:34.348", "mongoId" : "6a2c8b3974d8ee00a09724e4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://apply.workable.com/j/AEDB648739", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "SQL query optimization", "Data comparison", "Data reconciliation", "Data validation", "Data quality control", "User Acceptance Testing", "Data Analysis", "SQL Development", "Data Mapping", "Requirement Analysis", "Data mapping", "Requirement analysis", "Data transformation", "Data loading", "Technical specifications", "Test scenarios", "Stakeholder management", "Agile methodologies", "Project delivery", "Commercial Banking", "Institutional Banking", "Credit Risk", "Credit Portfolio", "Credit Data Management", "Data Warehousing", "Data Store concepts", "Banking Data Analytics", "Banking Reporting" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "_score" : 1111.928, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Banking", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cd28274d8ee00a0a34875", "title" : "Data Analyst", "company" : "PRISM+", "industry" : "Computer Hardware", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Analyst in Singapore's E-commerce industry, adjusted for company size and location." }, "location" : "Singapore, Singapore, Singapore", "locations" : [ "Singapore, Singapore, Singapore" ], "timestamp" : "2026-06-15T07:43:47.721", "fingerprint" : "c187f8694112f5f7c6b089dd44902e7a70e0756d92913e9fba0deb47021587da", "source" : "workable", "language" : "en", "applyUrl" : "https://apply.workable.com/j/D6E5B86A2F/apply", "externalId" : "D6E5B86A2F", "industryFunction" : { }, "locationPoint" : "1.3521,103.8198", "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, SQL, Google Sheets", "professionalSkills" : [ "Data analysis", "Data presentation", "Stakeholder management", "Performance reporting" ], "hardSkillsList" : [ "Data cleaning", "Data analysis", "Data visualization", "Reporting" ], "hardSkills" : [ { "name" : "Data cleaning", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Data visualization, Reporting", "majorSkillsList" : [ "Data analysis", "Data visualization", "Reporting" ], "coreResponsibilities" : "Extract data, Clean data, Present data, Analyze operational data, Identify trends, Identify patterns, Identify areas for improvement, Provide actionable insights, Develop dashboards, Maintain dashboards, Ensure data accuracy, Ensure data integrity, Prepare performance reports, Track progress against goals, Collaborate with team members, Interpret data, Implement improvements, Perform adhoc tasks", "teamCollaboration" : "Collaborate with team members; Present to stakeholders", "domainKnowledge" : "Consumer technology", "domainList" : [ "consumer-technology" ], "domainSpecificKnowledge" : [ "Consumer technology" ], "toolProficiency" : [ "Google Sheets" ], "communicationSkills" : "Present technical findings", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Identify areas for improvement; Track progress against goals", "qualificationsBasic" : "Diploma or Bachelor's Degree, Proficiency in Python, Proficiency in SQL, Proficiency in Google Sheets, Knowledge of data visualization tools, Ability to present data insights effectively, Excellent problem-solving skills, Ability to work with large datasets, Communication skills", "qualificationsPreferred" : "Work with complex datasets", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "PRISM+ is Singapore’s leading homegrown electronics brand, with a presence across key markets in Australia, Malaysia and the Philippines. The brand’s mission is to make premium technologies accessible to the masses—disrupting established industries with innovation and value that goes beyond the product. PRISM+ was founded in 2017 as a direct-to-consumer (D2C) display technology specialist, where it quickly grew to become the number one monitor and smart TV brand in Singapore. Best known and loved for its affordable premium offerings and award-winning customer experience, the brand has expanded its offerings to include a wide range of affordable premium home electronics and appliances. Join us at PRISM+ and become part of a journey where innovation meets impact, and every day offers a chance to shape the future of consumer technology. Discover a career where your ideas matter, your growth is nurtured, and together, we create a brighter tomorrow. **Responsibilities** * Extract, clean and present data in an understandable manner to respective department leads * Analyze operational data to identify trends, patterns, and areas for improvement * Provide actionable insights to the respective stakeholders * Develop and maintain dashboards for real-time monitoring of key performance metrics * Ensure data accuracy and integrity in all reporting systems * Prepare regular performance reports to track progress against goals * Collaborate with team members to interpret data and implement improvements * Any other adhoc tasks as assigned by the Company **Requirements** * Diploma or Bachelor's Degree in Data Analytics/Science or a related field * Proficiency in data analysis tools such as Python, SQL, and Google Sheets * Strong knowledge of data visualization tools and ability to present data insights effectively. * Excellent problem-solving skills and ability to work with large and complex datasets. * Strong communication skills, with the ability to present technical findings to non-technical stakeholders.", "summaryDescription" : "Data Analyst at PRISM+. Skills: Data analysis, Data visualization, Reporting. Extract data. Clean data", "postedDate" : "2026-06-12T00:00:00.000", "createdAt" : "2026-06-13T22:01:21.678", "lastUpdated" : "2026-06-15T07:43:47.721", "ingestTimestamp" : "2026-06-13T22:01:21.678", "mongoId" : "6a2cd28274d8ee00a0a34875", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://apply.workable.com/j/D6E5B86A2F", "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data cleaning", "Data analysis", "Data visualization", "Reporting", "Data presentation", "Stakeholder management", "Performance reporting", "Consumer technology", "Google Sheets" ], "skillCount" : 9, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 1107.7557, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a48d774d8ee00a05e2165", "title" : "Senior Data Transformation Analyst", "company" : "Mitratech", "salary" : { "min" : 750000.0, "max" : 1200000.0, "currency" : "MXN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Transformation Analyst in Mexico City, Mexico, adjusted for the SaaS industry and senior experience level." }, "location" : "Mitratech MX", "locations" : [ "Mitratech MX" ], "timestamp" : "2026-06-14T10:34:56.790", "fingerprint" : "38512009be58cae2856e38a407b3ce990c76dba17af1ef213f53915d04b9df4b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/mitratech/jobs/7866856", "externalId" : "7866856", "structuredLocations" : [ { "country" : "Mexico", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Mexico", "experienceMinYears" : 3, "experienceMaxYears" : 7, "experienceLevel" : "Senior", "technicalSkills" : "Salesforce CPQ, NetSuite, Excel", "professionalSkills" : [ "Data transformation", "System integration", "Revenue operations", "Revenue recognition", "Business processes", "Accounting implications", "Sales processes", "Product structures", "Contracting models", "Billing models" ], "hardSkillsList" : [ "Data migration", "Data validation", "Issue resolution" ], "softSkillsList" : [ "Intellectual curiosity" ], "hardSkills" : [ { "name" : "Data migration", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Issue resolution", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Intellectual curiosity" } ], "majorSkills" : "Data transformation, System integration, Revenue recognition", "majorSkillsList" : [ "Data transformation", "System integration", "Revenue recognition" ], "coreResponsibilities" : "Lead data transformation, Analyze source data, Translate acquired entity data, Rebuild data structures, Identify data inconsistencies, Clean data inconsistencies, Correct data inconsistencies, Develop understanding of revenue recognition, Collaborate cross-functionally, Participate in discovery sessions, Perform data validation, Perform data reconciliation, Identify discrepancies, Drive issue resolution, Support PMSI team initiatives, Support testing, Support process improvement", "teamCollaboration" : "Acquired entity accounting teams; Acquired entity operations teams; Internal sales teams; Internal finance teams; Internal systems teams", "projectManagementSkills" : [ "Process improvement" ], "domainKnowledge" : "GAAP revenue recognition; SaaS business models; Subscription-based business", "domainList" : [ "gaap-revenue-recognition", "saas-business-models", "subscription-based-business" ], "domainSpecificKnowledge" : [ "GAAP revenue recognition", "SaaS business models", "Subscription-based business" ], "toolProficiency" : [ "Salesforce", "NetSuite", "Excel", "Alteryx" ], "communicationSkills" : "Clear communication", "continuousLearning" : "Learning opportunities", "problemSolvingSkills" : "Problem-solving skills", "specialRequirements" : "Residing in Mexico", "outcomesObjectives" : "Accurate data migrations; Audit-ready data migrations; Proactive identification of data issues; Proactive resolution of data issues; Clear communication of risks; Clear communication of assumptions; Consistent delivery within project timelines", "qualificationsBasic" : "3–7+ years of experience, working knowledge of Salesforce, Advanced proficiency in Excel, working familiarity with NetSuite, Solid understanding of GAAP revenue recognition, Proven ability to work with complex datasets, analytical and problem-solving skills, Ability to learn and adapt quickly", "qualificationsPreferred" : "Experience with Alteryx, Background in SaaS, Experience with mergers and acquisitions", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Mitratech, we are a team of innovators focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse and inclusive work culture centered around great people practices, learning opportunities, and having fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling the chance to move at a rapid pace with some of the most complex, leading-edge technologies available. For over 35 years, the experts at Mitratech have been focused on solving the complex needs. Today, we serve 20,000 client companies of all sizes globally, representing 30% of the Fortune 500 and over 500,000 users in over 160 countries. As we continue to grow, we’re always looking for resourceful, enthusiastic, and fresh perspectives. Join our global team and see what makes Mitratech a truly exceptional place to work! Due to business and compliance requirements, this position is open only to candidates residing in Mexico. Applications from candidates outside this region will not be considered. Job Overview We are seeking a highly analytical and detail-oriented Senior Data Transformation Analyst to support post-merger system integrations (PMSI). This role is critical in ensuring accurate and compliant data migration from acquired entities into core systems, including Salesforce and NetSuite. This is a highly impactful role that requires a strong understanding of revenue recognition, business processes, and system behavior. You will transform complex and inconsistent source data into structured, compliant formats that support sales, billing, and accounting operations. This role requires a balance of technical skills, business acumen, and intellectual curiosity. The ideal candidate does not rely solely on tools; they take the time to understand the underlying data, processes, and accounting implications before building solutions. Key Responsibilities Lead end-to-end data transformation for full-system migrations from acquired entities Analyze and interpret source data from systems such as QuickBooks, NetSuite, Excel, and other CRMs Translate acquired entity data into formats compatible with Salesforce CPQ and ERP processes Evaluate and rebuild data structures to align with GAAP-compliant revenue recognition Identify, clean, and correct data inconsistencies and gaps Develop a deep understanding of revenue recognition policies, sales processes, and product structures, contracting and billing models Collaborate cross-functionally with acquired entity accounting and operations teams, as well as Internal sales, finance, and systems teams across organizations Participate in discovery sessions to ensure accurate data interpretation Perform data validation and reconciliation post-migration Identify discrepancies and drive issue resolution Support broader PMSI team initiatives, including testing and process improvement, as needed Qualifications 3–7+ years of experience in data transformation, systems integration, or revenue operations Strong working knowledge of Salesforce, including exposure to CPQ or similar tools Advanced proficiency in Excel for data manipulation and reconciliation Working familiarity with NetSuite or similar ERP systems Solid understanding of GAAP revenue recognition principles Proven ability to work with complex and incomplete datasets Strong analytical and problem-solving skills Ability to learn and adapt quickly to new business models Excellent communication skills and ability to translate business processes into data logic Preferred Qualifications Experience with Alteryx or similar data transformation tools Background in SaaS or subscription-based business models Experience with mergers and acquisitions or system migrations What Success Looks Like Accurate and audit-ready data migrations Proactive identification and resolution of data issues Clear communication of risks and assumptions Consistent delivery within project timelines Strong collaboration with cross-functional teams We are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.", "summaryDescription" : "Senior Data Transformation Analyst at Mitratech. Skills: Data transformation, System integration, Revenue recognition. Lead data transformation. Analyze source data", "postedDate" : "2026-06-11T20:17:49.874", "createdAt" : "2026-06-11T20:17:49.874", "lastUpdated" : "2026-06-14T10:34:56.790", "ingestTimestamp" : "2026-06-11T20:17:49.874", "mongoId" : "6a2a48d774d8ee00a05e2165", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data migration", "Data validation", "Issue resolution", "Intellectual curiosity", "Data transformation", "System integration", "Revenue recognition", "Revenue operations", "Business processes", "Accounting implications", "Sales processes", "Product structures", "Contracting models", "Billing models", "Process improvement", "GAAP revenue recognition", "SaaS business models", "Subscription-based business", "Salesforce", "NetSuite", "Excel", "Alteryx" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 1101.5858, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 107889, "totalPages" : 2158, "hasNext" : true, "hasPrevious" : false } }

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