Top Senior Data & Analytics Jobs in St. Louis, MO

Lead design, build, and support of cloud-based ETL, data warehousing, and reporting solutions. Develop/optimize ETL pipelines, data models, and queries; deploy containerized services on Kubernetes; automate workflows; mentor teammates; collaborate with architects, data scientists, and stakeholders to deliver scalable analytics and reporting products.

The Director of Business Operations oversees marketplace performance analysis, developing metrics and insights, and collaborating across teams to enhance strategy and decision-making.

The Facets Systems Analyst will perform development and maintenance tasks in Facets, lead a team of developers, and ensure quality outcomes through testing methodologies while maintaining compliance with healthcare standards.

The Senior Data Scientist will build frameworks for data-driven decision making, develop predictive models, ensure data quality, and enhance customer experiences through analytics and operational insights.

The Salesforce Business Solution Architect I translates business needs into solutions within Salesforce, capturing requirements, designing processes, and mentoring project teams. Responsibilities include leading projects, defining data and processes, and ensuring use of technology aligns with business goals.

The Senior Technical Analyst collaborates with stakeholders and engineers to document requirements, ensure quality, and support SDLC activities, while being a trusted advisor on solution design and process impacts.

The Senior Data Analyst will analyze large datasets, especially in the insurance sector, to provide actionable insights, validate data submissions, and support business objectives with reporting solutions.

As a Senior Analytics Engineer, you will design the financial data backbone, integrating ERP data, building profitability models, and enabling data-driven planning in collaboration with Finance and Operations.

The Data Analyst will build key data models and metrics for decision-making, partner with stakeholders for analytical insights, create datasets for self-service reporting, and ensure data reliability through quality checks.

Serve as a client-facing consultant translating business needs into technical specifications, delivering Liquid Data platform solutions, developing reports/dashboards, supporting implementations, and driving technology adoption while collaborating with internal teams and leveraging cloud, API, and BI integrations.