Top Data & Analytics Jobs

Design, build, and maintain BI models, dashboards, metrics and reports. Extract, clean, transform and validate data; write and optimize SQL; automate pipelines with Python/R; apply analytics to generate insights; collaborate with stakeholders, manage intake and agile projects, mentor junior analysts, ensure governance and present findings to leadership.

The role involves building and scaling a scientific model platform at Benchling, integrating various AI models, and collaborating with users to optimize usage in biotech R&D.

As a Senior+ Agentic Analytics Engineer, you will design and deploy AI systems that provide actionable insights, build analytics tools, and manage the analytics-to-action pipeline to drive business decision-making using AI.

Partner with Customer Success and CS Ops to build post-sales analytics: customer health scoring, renewal and renewal pipeline reporting, billing and support signal analysis, and expansion/upsell dashboards. Own dashboard ecosystem, translate stakeholder requests into scalable reporting, collaborate with Finance and Data Engineering, and leverage AI tools to accelerate analytic workflows and maintain data quality for retention and expansion decision-making.

The Senior Analytics Engineer will develop data pipelines, build models, and create dashboards to provide actionable insights for various teams. The role requires collaboration with multiple stakeholders to meet analytical needs and ensure data governance.

The eCommerce Web Analyst supports teams by analyzing eCommerce data, creating dashboards, conducting A/B tests, and ensuring data accuracy to inform business strategies.

Design, build, and maintain scalable data pipelines and API integrations; implement data quality monitoring and alerting; troubleshoot data issues; collaborate with business stakeholders; support CI/CD processes and scale architecture for future needs.

The Staff Implementation Engineer will lead complex data integrations, develop big-data pipelines, and mentor engineers, ensuring high standards for data security and governance.

The Principal Data Engineer at NBCUniversal leads the development of data applications, manages data pipelines, and collaborates with teams while coaching junior engineers. Responsibilities include designing scalable data solutions and integrating AI technologies.

Lead end-to-end analytics engineering: build and maintain BigQuery data warehouse, dbt models, CDC and streaming pipelines (Materialize), orchestration, observability, and BI/analytics products to enable self-service insights and real-time data products.