Responsible for end-to-end data modeling and production ETL/ELT pipelines (dbt, Airflow) on modern warehouses (Snowflake, Databricks); build reusable data frameworks, dashboards (Looker/Tableau), and partner with Product, Engineering, and Data Science. Requires 5+ years experience, advanced SQL, intermediate-to-advanced Python, CI/CD and GitHub workflows, and experience with prompt engineering for LLMs.

Lead measurement, evaluation and digital work for public sector and social impact partners: define theory of change, build data collection and analysis systems, conduct program evaluation, and turn evidence into recommendations. Requires at least 4 years' relevant experience, proficiency in quantitative methods and tools (Excel/Sheets; R, Python, Stata; Tableau/Power BI preferred), comfort using GenAI, business-level English, US work authorization, and willingness to travel (25–50%).

Replit seeks a Senior Data Scientist to build the analytics and intelligence layer across marketing, customer, and support signals. Responsibilities include experiment design and analysis, attribution and marketing mix modeling, churn and retention modeling, customer segmentation, synthesizing unstructured feedback with LLMs, and delivering automated reports and agentic workflows. Requires 6+ years in data science, strong SQL, dbt/ETL experience, Python and data science libraries, and experience with dashboards and A/B testing. Role is full-time based in Foster City, CA with an in-office requirement Monday, Wednesday, and Friday.

Provide analytical support and project leadership to State Managers for Personal Lines products, including financial and performance analysis, rate revision support, competitor and market review, P&L monitoring, forecasting, and cross-functional communication to support profitable growth. Requires approximately three years of P&C insurance or related experience and strong quantitative and communication skills.

Owner of data models, dashboards, reporting frameworks, and operational processes for the Travel Commercial organisation at Hopper. Responsibilities include running deep-dive analyses, defining and tracking KPIs, building forecasting and planning frameworks, mapping and improving commercial workflows, and developing AI-enabled solutions. Requires ~2+ years in analytics/sales operations/strategy, proficiency in SQL and BI tools (Looker/Tableau/BigQuery), and experience working with Product and Engineering.

Hopper is hiring a Strategy & Analytics Manager to design, build, and maintain data models, dashboards, and reporting for hotel, home, and car inventory commercial operations. The role involves running deep-dive analyses, defining and tracking KPIs, building forecasting and planning frameworks, mapping and improving commercial workflows (pipeline, forecasting cadence, sales incentives), and deploying AI-enabled solutions. Requires 2+ years in analytics/strategy/sales operations, proficiency in SQL and BI tools (Looker, Tableau, BigQuery), experience collaborating with Product/Engineering, and practical use of AI tools.

Analyze large-scale datacenter GPU workloads and infrastructure telemetry, produce findings and visualizations, and build lightweight ML/DL implementations integrated into workflows. Requires 5+ years analyzing complex datasets, strong Python and JavaScript skills, hands-on experience with telemetry/observability stacks (e.g., Grafana, Elasticsearch, Splunk), and familiarity with core ML concepts; TensorFlow/PyTorch and HPC/performance experience are listed as advantages.

Own the full lifecycle of client data exchange development for inbound HRIS and benefits conversion files, including requirements gathering, file configuration, testing oversight, and launch. Requires 4+ years relevant experience and proficiency with XML and Excel; familiarity with SQL, Beyond Compare, JavaScript, and Access is noted. Position is remote (United States) with a stated salary range of $45,000 to $81,000 per year.

Lead a team (~7) of data scientists in Product Analytics to inform product strategy, design experiments, deliver timely accurate analysis, build accessible data products with Experiment Platform & Data Engineering, mentor staff, and collaborate with product teams. Role is remote with candidates required to be within UTC+1 to UTC-8 and available for synchronous meetings 14:00–22:00 UTC; travel for offsites/conferences up to four times per year. Tools mentioned: Hadoop, Hive, Presto, Spark, Superset, Growthbook.

Role to support collection, normalization, governance, and quality of payer reference data for Veeva Compass. Requires 4+ years working with healthcare data (including 2+ years focused on payer data), proficiency in SQL, experience with data governance, and knowledge of the US insurance landscape (PBMs, Medicare, Medicaid, commercial). Based in Boston, MA; employer describes itself as a Work Anywhere company.

Join the Veeva Compass Product Team to collect, normalize, and analyze payer reference data; drive data quality, governance, and standards; identify new data sources and automation opportunities; and partner with product, engineering, QA, and terminologists to deliver trusted payer data. Requires deep knowledge of the US insurance landscape and 4+ years working with healthcare data (2+ focused on payer data).

The Senior Health Data Analyst will support core data structures and processes for payer reference data within Veeva Compass, driving data collection, normalization, quality, and governance. The role collaborates with product, engineering, QA, terminologists, and analysts, and requires deep understanding of the US insurance market and payer ecosystems. Requires 4+ years working with healthcare data (2+ years focused on payer data) and proficiency in SQL; Python and experience with BI tool Sigma are listed as advantages.

Lead end-to-end analytics and consulting workstreams using patient-level claims and other real-world datasets to generate insights (market sizing, patient journey, line of therapy, referral patterns) across the product lifecycle. Mentor Associate Consultants, contribute to business development and internal IP, and apply organizational change and operating model design. Requires 3+ years in life sciences consulting, SQL proficiency, and a bachelor's degree. Base pay range listed: $70,000–$140,000. Work Anywhere (remote or office).

Consultant in Veeva's Global Analytics Practice responsible for leading project workstreams, analyzing patient-level claims and other real-world datasets, delivering actionable insights across pre- and post-launch, mentoring associate consultants, and contributing to business development. Requires a bachelor’s degree, 3+ years in life sciences consulting, proficiency in SQL, and strong quantitative and communication skills.

The role is a senior RevOps Insights analyst embedded in the CRO org to deliver GTM analytics and dashboards, own KPIs, write SQL and dbt models, build Looker/Salesforce dashboards, partner with senior GTM leaders, and apply forecasting/predictive techniques to revenue analytics. Must be US-based (remote), 5+ years experience, and proficient with SQL, dbt, visualization tools and revtech systems.

The role focuses on leading analytics project workstreams for life sciences customers, reshaping operating models, driving organizational change, and measuring business value. Requires 3+ years in life sciences consulting, proficiency in SQL, domain knowledge of healthcare data (claims, engagement, reference), and strong analytical and communication skills. Nice-to-have: Veeva product knowledge, Python, and experience delivering SaaS or tech-enabled consulting solutions.

Lead analytics-focused consulting workstreams for life sciences customers to reshape operating models, drive organizational change, and measure business value. Requires 3+ years in life sciences consulting, proficiency in SQL, domain knowledge of claims/engagement/reference datasets and analytics use cases (segmentation, targeting, call planning, forecasting, field deployment). Nice-to-have: Veeva product knowledge, Python, and SaaS/tech-enabled consulting experience.

Lead analytics-focused consulting workstreams to reshape operating models, drive organizational change, and measure business value for life sciences customers. Requires 3+ years in life sciences consulting, proficiency in SQL, experience with healthcare data (claims, engagement, reference), and strong quantitative and communication skills. Base pay range listed: USD 70,000–140,000 per year.

Join Chainlink’s Data Risk Operations team to monitor, triage, and mitigate data quality and risk across oracle data products. Responsibilities include alert triage, writing Python scripts for data pulls and analysis, building processes and tooling, collaborating with data providers and node operators, and participating in an occasional on-call rotation. Requires 5+ years in a data-driven role and experience with SQL, Python (Pandas), JSON, and REST APIs; interest in blockchain/DeFi and strong security awareness.

Senior Marketing Analyst (remote / Richmond, VA) to lead marketing analytics for B2B SaaS products: develop measurement frameworks across the customer journey, analyze paid media, content and ABM programs, implement multi-touch attribution, integrate Salesforce/Marketo/Snowflake/BI tools, build executive dashboards, and partner with Marketing and Sales leadership. Requires 5+ years in marketing analytics and 2+ years people management.