Top Data & Analytics Jobs

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 enterprise customer experience analytics, reporting, forecasting, automation, AI-assisted operations, and digital self-service initiatives. Builds dashboards, workforce models, retention insights, and containment strategies while partnering with CX, IT, Product, Claims, and AI teams. Drives contact center efficiency, customer retention, and service improvements, and helps establish a scalable Innovation & Analytics function.

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.

Leads wealth performance and business analytics supporting sales, investment performance, products, and strategic decisions. Develops actionable insights using market data, statistical analysis, quantitative methods, and predictive modeling. Manages analytics initiatives, produces reports, presents findings to senior management, and advises business leaders on performance and market opportunities.

Develops and maintains Power BI dashboards, reports, and analytics solutions for manufacturing operations. Analyzes operational data to identify trends and support factory decision-making, integrates machine-level data into fairlife’s Unified Factory Data Model, validates data quality, upholds governance and reporting standards, and trains end users on BI tools and data literacy.