Top Data & Analytics Jobs

The Python Data Engineer will enhance data assets, drive requirements for data ingestion and access, and maintain code quality and tools in a dynamic office environment.

The Databricks SME will lead the design and development of data platforms and pipelines, optimize workflows, mentor teams, and ensure compliance and security standards.

Build and operate real-time and batch data pipelines for maritime domain awareness. Parse binary sensor and SONAR data, design high-performance data warehouses, validate and normalize sources, and improve local development and CI/CD. Work on-site with customers, write production-quality code, and integrate systems to support mission-critical deployments.

As a Data Engineer, you'll create and maintain data pipelines, optimize data architecture, and support analytics tools for performance insights.

Lead business intelligence efforts at Kenco, developing Power BI solutions, gathering requirements, and providing technical support. Engage with stakeholders and ensure effective reporting solutions for business needs.

The Data Engineer will design and maintain data pipelines, enhance the data warehouse, support machine learning applications, and collaborate with various teams to leverage data effectively.

Design analytical models, metric logic, and data schemas powering an AI marketing product; spec models and partner with engineering and AI teams; lead incrementality testing, power analysis, and MMM support; translate test results into budget recommendations and measurement guidance for paid media teams.

The Sr. Analyst provides advanced support for Relativity projects, designs and executes workflow strategies, mentors junior staff, and manages complex document review processes.

Lead enterprise analytics initiatives: translate business requirements into scalable data models and transformations; design enterprise dashboards and SSAS/SSRS/Qlik reports; perform advanced SQL analysis; resolve cross-system data issues (including Workday integration); mentor analysts; enforce data governance and reporting standards; manage multiple analytics projects and documentation.

The Director/Senior Director leads new product planning and asset strategy for Lila Sciences, evaluating life sciences opportunities and shaping partnerships based on scientific and market insights.