Top Data & Analytics Jobs

Senior analyst to design, develop, and administer databases and applications, build analytics and visualization products, support AI/ML data operations, lead Agile development activities, and operate in classified USSTRATCOM environments.

Lead design, build, and administer Azure Databricks data pipelines and platform infrastructure. Ensure catalog architecture, data quality, security/governance (Unity Catalog), stakeholder engagement, Power BI administration, cost management, and delivery of complex projects using modern ETL, streaming, and ML capabilities.

Lead data engineering for a healthcare scheduling platform rebuild: map legacy multi-TB schema, design target schema, build translation layer (views/materialized views and write mappers), ensure data consistency during parallel systems, plan per-tenant cutover with verification and rollback, tune DB performance, instrument data quality/lineage/audit, and mentor engineers.

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.

Analyze and monitor e-commerce and digital shelf performance across retail partners. Build dashboards, integrate multi-source data, measure retail media ROI, optimize product content and search visibility, support Amazon channel growth, and drive website and UX improvements through data-driven insights and test-and-learn initiatives.

Lead end-to-end analytics delivery: gather stakeholder requirements, design and maintain enterprise semantic models, build dashboards and data products, validate data quality, govern AI-augmented analytics, mentor junior engineers, and drive adoption and standards across the organization.

Provide senior-level data engineering for analytics: resolve complex technical issues, build decision-support reports and dashboards, lead projects, prepare and integrate data, coach staff, and ensure high-quality analytics to support academic, research, and healthcare goals.

Design, develop, and maintain large-scale data pipelines and ETL processes. Implement and optimize data storage and processing on BigQuery/GCP, ensure data quality and monitoring, participate in code reviews, mentor junior engineers, and help launch data-driven tools.

Own day-to-day vehicle pricing execution and exception management across channels. Review model outputs, implement documented manual overrides, monitor pricing outcomes, analyze post-execution trends, support testing, recommend auction strategies and process improvements, and escalate pricing risks to stakeholders.

Lead and execute institutional research and evaluation projects supporting planning, accountability, and enrollment management. Perform advanced quantitative and qualitative analyses, prepare compliance reports (IPEDS, National Student Clearinghouse), design surveys, develop data visualizations and dashboards, query institutional databases, maintain reproducible code and documentation, and communicate findings to stakeholders.