Top Data & Analytics Jobs in St. Louis, MO

The role involves leading Quote-to-Revenue processes, mentoring junior team members, and ensuring quality deliverables in finance systems and billing operations.

Lead BI initiatives: design and deliver BI architecture, reports, and dashboards using Redshift/MicroStrategy/Tableau and SQL/Teradata. Maintain single source of truth and data quality, translate business requirements into sustainable BI solutions, manage and mentor team members, prioritize requests, and drive analytics standards and reporting strategy across the business.

The Process Analyst will oversee supply chain data governance, ensuring data quality and usability for planning, procurement, and logistics.

Provide analysis in support of geospatial intelligence missions, manage data dissemination, and develop workflows for data analysis and visualization.

The Data Analyst will perform analytics to support client deliverables, automate processes, and partner with product teams to enhance solutions.

Lead design and implementation of an enterprise Databricks lakehouse, build scalable batch and streaming pipelines, enforce governance and CI/CD standards, optimize Spark workloads, operationalize ML with MLflow, manage cloud infrastructure and IaC, and mentor data engineering teams.

The Senior Portfolio Lead will oversee data management services for clients, ensuring quality deliverables, strategic oversight, and optimal clinical data flows, while leading cross-functional teams and managing complex client relationships.

As the Capital Markets Manager, you will secure funding through securitization programs, manage partnerships, and lead structured finance negotiations while mentoring your team.

As a Staff Analytics Engineer, you'll lead analytics architecture, ensure data quality, collaborate with stakeholders, and drive AI-powered data insights for business decision-making.

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.