Top Data & Analytics Jobs

Manages client, compliance, and performance reporting across healthcare programs using eligibility and claims data. Leads reporting analysts while remaining hands-on with advanced SQL, dashboards, data crosswalks, validation, reconciliation, root-cause analysis, and data-quality monitoring. Partners with data engineering and clients to resolve upstream issues, establish reporting standards, and guide the analytics roadmap.

Leads enterprise clinical terminology, ontology strategy, semantic normalization, reference data, value sets, and clinical concept governance. Owns terminology services, mapping workflows, data quality rules, ontology documentation, and lifecycle management. Partners with engineering, product, clinical, and analytics teams to improve healthcare data fidelity and support real-world data products, pipeline modernization, and knowledge graph initiatives.

Research, digitize, process, and maintain utility-related spatial datasets and geodatabases. Use ArcGIS Pro, QGIS, SQL, and ETL workflows to improve data accuracy, perform QA/QC, interpret maps and drawings, and support internal and external stakeholders. Collaborate with research coordinators and project managers while independently managing detailed GIS work in a hybrid environment.

Develops BI models, dashboards, reports, predictive analyses, and visualizations for Navy leadership assessment programs. Analyzes large datasets, identifies trends, supports executive decision-making, maintains data systems, prepares quarterly performance reports, and coordinates with stakeholders. The role also supervises an administrative assistant and may moderate milestone interviews.

Support business technology by developing Power BI dashboards, low-code Power Apps/Power Automate solutions, validating and analyzing data with SQL, improving data governance, participating in SDLC, providing user support and training, and automating business processes to increase efficiency and data accuracy.

Leads the design, development, governance, and operational support of enterprise data engineering solutions for Fresh Meats analytics. Builds cloud-based data lakes, pipelines, models, integrations, and reporting-ready datasets; implements security, data quality, lineage, observability, and governance controls; supports production incidents and releases; and partners with business, platform, and governance teams. Mentors engineers and analysts while ensuring scalable, documented, secure, and reliable data products.

Lead the development, refinement, validation, and communication of commercial real estate econometric forecasting models. Monitor forecast accuracy, conduct quantitative research, develop new models, improve data and methodologies, document processes, create dashboard inputs, and educate internal teams and customers on forecast results and model validation.

Hands-on principal data engineer defining enterprise-scale data architecture, building and optimizing data pipelines/integrations for analytics and ML, deploying production code, mentoring engineers, and partnering with product and ML teams to transform and analyze data for actionable insights.

Defines and governs enterprise data architecture across operational, analytical, AI/ML, and reporting platforms. Leads cloud data platform strategy, governance, modernization, security, DataOps/MLOps, architecture standards, and vendor evaluations. Partners with business, engineering, cybersecurity, risk, compliance, and executive stakeholders to deliver scalable, compliant, observable, and AI-ready data capabilities supporting insurance functions such as underwriting, claims, finance, and regulatory reporting.

Design, implement, and optimize large-scale data processing on Databricks and Spark. Build ETL pipelines, integrate data across AWS services (Redshift, RDS), orchestrate workflows with Airflow, and ensure data warehousing and engineering best practices. Lead and mentor development teams and collaborate with cross-functional stakeholders to drive data strategy and execution.