Top Data & Analytics Jobs

Assist Finance IT teams by supporting ERP and financial reporting systems, performing data cleansing and validation, aiding system testing and documentation, and collaborating on automation, analytics, and AI-enabled financial analysis initiatives.

The VP of Data will oversee 9amHealth's data functions including data engineering, analytics, and data science while collaborating with executive teams to shape data-driven strategies and improve member experiences in chronic condition management.

Lead analytics to turn onchain data into insights for product growth, retention, and investor reporting. Build dashboards tracking TVL, funnels, vault performance, and cash flows; analyze onchain and market data; benchmark competitors; collaborate cross-functionally to inform launches, incentives, and retention; translate data into clear narratives.

The Data Analyst will support a proposal effort and require extensive experience with US Navy project management, needing a minimum of 12 years.

Lead a team of Analytics Engineers and Data Scientists to own Mixpanel's BigQuery/dbt data warehouse and medallion architecture, deliver trusted platinum tables, drive insights that change product and GTM decisions, raise technical standards for modeling and experimentation, hire and develop talent, and partner cross-functionally to operationalize analytics.

As a Data Engineer, you will optimize data pipelines, develop code in Python and Spark, manage cloud infrastructure, and drive data solutions.

The Sr. Pricing Analyst will conduct financial analyses, develop pricing models, manage price points, and enhance pricing processes to support profitability.

Design, build, and operate large-scale ETL pipelines to turn high-volume raw data into production-grade datasets for reporting and measurement. Own data products end-to-end from requirements through implementation, validation, and production rollout, collaborating with data science, backend/frontend engineers, and product. Ensure data quality, performance tuning, and operational reliability.

Lead and manage a data engineering team to design, build, and operate scalable data pipelines, ETL, data warehouses/lakes, and reporting on AWS/Azure. Drive data governance, quality, SLA definitions, automation, and cross-functional collaboration with data scientists, analysts, and product owners to deliver analytics solutions.

The Senior Manager of Sales Insights and Analytics leads the transformation of data into actionable insights, enhancing sales performance through strategic analytics and stakeholder collaboration.