Top Data & Analytics Jobs

Lead development and governance of the supply chain data warehouse and analytics platforms. Build SQL-driven models, dashboards, and KPIs to drive inventory optimization, cost reduction, supplier performance, and working capital improvements. Support ERP integrations and data migrations, perform deep data discovery and predictive analytics, and present actionable insights to senior leaders to enable strategic decision-making.

Lead and oversee healthcare quality analytics and informatics staff. Develop and present analyses supporting quality metrics, collaborate with stakeholders and IT, respond to regulators, and manage hiring, training, and performance of the informatics team.

Provide production support for SQL Server databases, ETL/data integration, Azure cloud services, and enterprise reporting. Monitor performance, troubleshoot issues across Windows and Linux servers, support file transfers and enterprise applications, and collaborate with technical teams to ensure data availability and reliability.

Provide digital analytics and experimentation insights for Life Company digital teams. Use SQL, Python, and platforms like Adobe Analytics, Glassbox, and Optimizely to analyze customer journeys and funnels, run EDA, create visualizations, document methodology, and deliver actionable recommendations to influence product and business decisions.

Own and maintain data products end-to-end for sector teams, analyze large datasets, refine methodologies, automate workflows using AI and tooling, collaborate with Research, Engineering, and Product, and deliver accurate, client-facing insights and improvements.

Design, implement, and maintain scalable SQL and NoSQL databases and cloud-native data platforms. Build real-time and batch pipelines for high-volume data, optimize NoSQL schemas and queries, manage migrations and scaling, implement data lake/mesh architectures, ensure security/compliance, write Python scripts for migration/validation, and collaborate with product and engineering teams.

Develop supply chain optimization tools and automation (KPIs/reports) using Power BI and Excel Solver; design and execute Distribution Requirement Planning for 50+ SKUs across five warehouses; optimize truckloads, reduce inventory obsolescence, create periodic-review inventory policy, and support sales and logistics with data-driven reports.

Own and improve mobile marketing analytics data pipelines, data products, and reporting systems. Investigate data quality issues, pipeline failures, and reporting discrepancies; perform root-cause analysis; and develop data pipelines, transformations, analytical datasets, and reporting assets using SQL and Python. Collaborate with analytics, engineering, and business stakeholders to deliver reliable solutions and clearly document technical findings.

Analyze complex datasets to support investment analyses, validate growth initiatives, and develop data-driven narratives for clients. Responsibilities include data visualization, financial modeling, and collaboration with investment bankers.

Lead a BI team to define and execute BI strategy, build and maintain dashboards, oversee ETL/data preparation, ensure data quality and governance, enable AI-driven reporting improvements, and present insights to senior government stakeholders.