Top Data & Analytics Jobs

Develop and lead healthcare analytics and BI solutions for HIS products: design, code, and deliver enterprise-scale applications and dashboards, work with AWS data services and BI tools, support product development and troubleshoot reporting issues for global customers.

Lead enterprise data strategy, governance, and analytics modernization for DHS Health IT. Develop governance frameworks, data quality and metadata practices, enterprise reporting strategies, dashboards, and roadmaps. Collaborate with stakeholders, facilitate working groups, recommend architecture modernization, and support data-driven decision-making.

Lead the Data & Analytics Engineering teams, overseeing the end-to-end data platform and AI integration, while managing team growth and partnerships with business stakeholders.

Research and develop high-frequency trading strategies, manage algorithmic execution, and perform post-trade analysis for global financial markets.

As a Quantitative Researcher, you'll create and improve trading models while collaborating with senior researchers and conducting your own research.

Develop and manage Tableau and Sigma dashboards and reports, mentor analytics teams, ensure compliance, and provide BI support.

The Vice President of Research & Analytics leads the TechLab team, directing complex research projects and translating data into strategic insights while mentoring others and collaborating across teams.

Design, build, and maintain data pipelines and models for hardware manufacturing, device traceability, yield, and supply chain. Integrate MES/ERP/IoT data into a lakehouse, ensure end-to-end data quality, security, and governance, and partner with Hardware, Operations, and Quality teams. Support lakehouse architecture (Iceberg, Databricks, dbt) and reduce single-point-of-failure risk for manufacturing data.

Design, build, and deploy Snowflake-based Data Cloud solutions on Azure. Act as Snowflake SME to architect data lakes/warehouses, develop ETL/ELT pipelines (batch and streaming), implement data quality, performance tuning, DBT models, and support deployments while working closely with clients and project management.

The Sr. Data Engineer will build and manage data pipelines for large datasets, collaborate with teams, and leverage cloud technologies for data processing.