Top Data & Analytics Jobs in St. Louis, MO

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

Lead the development and deployment of data solutions with Palantir Foundry, driving projects, mentoring teams, and engaging with clients to solve complex problems.

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

The role involves operational analysis, data insights, and relationship management to support the Channel Transfer program, focusing on troubleshooting and improving processes.

The Associate Product Data Specialist will manage product data, ensure compliance with data standards, and support engineering teams in data management processes. Responsibilities include document control, maintaining configuration management, and supporting certification plans, all focused on ensuring data accuracy and regulatory compliance.

The Imagery Analyst conducts imagery research, analysis, and product creation, collaborating with other analysts to support intelligence missions. They utilize various tools and databases to monitor trends and solve intelligence problems, producing reports and assessments based on their findings.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.

This role oversees the design and evolution of finance reporting solutions using Power BI, collaborating with global finance teams to create scalable analytics and insights.

The AI Financial Planning Analyst reviews and improves financial guidance from AI systems, works across teams to enhance member experiences, and ensures compliance with regulations.

The role involves assessing fraud program effectiveness, compliance with regulations, and providing strategic insights for risk management within the financial services industry.

Lead design and implementation of scalable, HIPAA-compliant data pipelines and platforms for healthcare ML. Build ETL, orchestration, and tooling for processing EHR, claims, pharmacy, and bioinformatics data; collaborate with data scientists to produce modeling-ready datasets and ensure data quality, reliability, and operational excellence.

The Intern will support the CRM Strategy & Solutions team in maintaining Salesforce data integrity, conducting audits, standardizing records, building reports, and improving CRM processes to enhance operations and data governance.