Top Data & Analytics Jobs

Lead compensation analytics and modeling for sales plans in a SaaS environment. Build dashboards and reports, analyze quota attainment and incentive payouts, support plan design and AOP, maintain data governance and documentation, and partner cross-functionally to drive compensation effectiveness and ARR growth.

Validate, map, and process client data for marketing campaigns. Lead data requirement discovery, manage moderately complex extraction and ETL tasks, troubleshoot issues, document processes, and coordinate delivery with clients and internal teams.

Build and maintain GCP-based data pipelines and foundational tables (BigQuery, Dataform, Dataplex). Merge financial and ERP datasets, define metrics, deliver reports and analyses, and collaborate cross-functionally to support decision-making and business measurement.

Provide financial and statistical analysis, deliver scheduled and ad-hoc reports, reconcile trustee and cash reports, maintain loan assets in WSO, track ratings, and act as liaison among business, trustees, and vendors to support project implementation and reporting accuracy.

Translate clinical and operational needs into technical requirements for data integration, ETL, SQL development, data modeling, reporting, and data quality. Support ETL operations, create documentation and test plans, coordinate UAT, and ensure compliance with federal and DoD healthcare regulations.

Support the full data lifecycle for MDA systems: collect, validate, store, integrate, and archive program data. Automate ETL and archival with Python scripts, write SQL for profiling and root-cause analysis, support data interoperability, pre/post-mission data validation, and prepare data for BI and AI/ML use.

Develop, maintain, and optimize SAS programs for data extraction, transformation, analysis, and reporting. Collaborate with analysts and stakeholders to ensure data quality, documentation, and reproducible analytics workflows.

Provide second-line support for internal and 3rd-party systems, develop SSRS/Microsoft BI solutions, troubleshoot incidents, interact with users/vendors, document requirements, coordinate resources, and report status to the project manager.

Design and implement physical data models in Snowflake, translate logical models into schemas/tables/views, align models with governance (Collibra), support ETL/ELT integration, document transformation logic, and optimize pipeline performance in a distributed life-sciences environment.

Lead North America PRS data engineering to modernize mainframe and cloud data platforms. Define data strategy, build scalable real-time pipelines and data products, establish engineering standards, advance governance and master/reference data management, hire and mentor teams, and evaluate emerging technologies to deliver business outcomes.