Top Data & Analytics Jobs

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.

Design, build, and maintain data ingestion pipelines and integrations from intermittently-connected robots to analytics, ML training, and operations. Implement SDKs, connectors, schema contracts, retries, backfills, monitoring, and optimize pipeline performance, scalability, and cost. Collaborate with robotics, autonomy, and deployment teams to ensure reliable end-to-end data delivery and quality.

The Data Analyst will automate solutions for data analysis, collaborate with technical teams, design ETL packages, and generate reports.