Top Data & Analytics Jobs in St. Louis, MO

The Workforce AI Optimization Analyst supports forecasting, staffing operations, and process automation through data analysis, reporting, and dashboard creation.

The Director of Business Strategy & Intelligence will lead the BI function, provide strategic growth insights, improve pipeline intelligence, and enhance executive-level reporting to drive decision-making and business growth.

The Principal Business Analyst will lead policy administration implementations, translate business requirements, analyze regulatory updates, and support scalable insurance solutions, ensuring compliance and operational efficiency.

Lead and manage data science teams to build models and drive business solutions; oversee compliance analytics and ensure data quality.

As a P&C Actuary, you will assess risks for insurers, support audit teams, and maintain compliance with regulations, while growing client relationships and improving tools for efficiency.

The Predictive Analytics Consultant designs and delivers analytics solutions for lending operations, focusing on predictive modeling, data transformation, and stakeholder communication.

Design, build, and maintain scalable ETL/data pipelines across distributed systems. Ensure data quality, integrity, security, and high availability. Monitor and optimize pipeline performance, perform root cause analysis, document systems, collaborate with global teams, and participate in on-call rotations to support production data systems.

Implement and maintain ETL processes to ingest and transform hospital data into Meduit platforms. Build data models, ensure data integrity, document and track tasks in Jira, collaborate with cross-functional teams, support revenue-cycle data implementations, and mentor team members on best practices.

Use data to inform product strategy by analyzing product performance, designing dashboards, conducting research (surveys, win/loss, focus groups), running A/B tests, building financial models for prioritization, and communicating insights to cross-functional teams.

Lead design and delivery of a cloud-based data platform: implement CDC/streaming ingestion, modeling, transformations, cross-region DB replication, observability, governance (PII, lineage, access), and enable downstream marts while mentoring engineers and driving IaC/automation-first practices.