Top Data & Analytics Jobs

Design, build, optimize, and modernize enterprise Microsoft data platforms (Azure, Fabric). Develop ETL/ELT pipelines, data warehouses/lakehouses, implement governance, security, DevOps/CI-CD, and support Power BI and AI initiatives while consulting with stakeholders.

Convert and validate client data from legacy trust accounting systems into Infovisa software. Map, transform, reconcile, and troubleshoot data issues; perform QA and regression testing; run validation prior to production. Lead client onboarding calls, explain system functionality and data requirements, prepare documentation, and collaborate with Product Support and Development to resolve implementation issues.

Design and maintain pipelines and tooling to ingest, validate, model, and serve multi-modal driving data for ML training, evaluation, and debugging. Collaborate with ML, vehicle software, curation, and fleet teams to scale the data stack and make datasets discoverable and queryable.

Design, build, and maintain data pipelines, ETL processes, and data warehousing solutions using Python and GCP/BigQuery. Ensure data quality, optimize storage and processing, support new data products, and mentor junior engineers while collaborating with the CTO and team.

Perform advanced operations research and analytical studies supporting Air Force sustainment: collect/normalize data, develop models and estimates, run reports, validate statistical analyses, and produce metrics and reports using ISMT/ADIS/CIDS and Jira.

Lead transformation of data into a strategic enterprise asset by decommissioning legacy finance systems, stabilizing cloud ERP, and building a unified Data Lakehouse. Serve as C-suite advisor, support sales in customer negotiations, design an enterprise data model, hire and scale a high-performing data team, and provide hands-on technical leadership.

Develop, implement, maintain, and update clinical and non-clinical reports using SQL and visualization tools. Produce ad hoc queries, troubleshoot report logic and subscriptions, create report specifications, and support enterprise reporting via Epic, Excel, Tableau, and Power BI.

Lead the design and development of data engineering solutions, apply analytical methods for forecasting, build dashboards, and ensure data quality and governance.

The role involves driving the identification of requirements, improving systems processes, developing prototypes, and ensuring usability in product development projects within an AI company.

Lead a Supply Chain Analytics center of excellence to deliver analytics, BI reporting, data pipelines, and dashboards. Manage cross-functional projects, mentor analysts and contractors, define data improvement roadmaps, and enable data-driven supply chain planning decisions.