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

Lead development and ownership of end-to-end data pipelines and platform tools. Build and optimize ingestion, transform data with dbt and Jinja, implement monitoring/alerting, manage deployments and CI/CD, and create self-service analytics applications and internal tooling.

Partner with Product, Design, Engineering, and Data to define KPIs and measurement for AI-powered features, guide instrumentation, design and evaluate experiments, build dbt models, create dashboards, and influence product analytics standards and long-term strategy.

Develop and manage tariffs and pricing strategies across the energy portfolio. Analyze data and market trends, monitor competitors, produce insights to inform commercial decisions, lead pricing projects, improve pricing processes and tools, and collaborate with stakeholders to ensure compliant, competitive, and profitable products.

Lead a team in delivering AI modeling and analytical solutions, developing strategies and capabilities to improve banking decisioning outcomes across multiple functions.

The Director of Data and Enterprise Applications oversees the architecture, development, and support of business applications and data platforms, driving digital transformation and ensuring data integrity and accessibility.

Lead IJM's global donor and audience insights by developing segmentation, motivation models, and behavioral analysis to guide marketing and fundraising strategy. Translate complex data into actionable recommendations, manage global projects and workflows, build cross-functional adoption of analytics, produce foresight and trend reports, and embed an insight-driven culture while participating in organizational spiritual formation.

The Business Intelligence / Data Analyst will optimize the data reporting pipeline using Google Big Query and Omni, work with product management, implement reports, and conduct ongoing maintenance.

Own and maintain the Kepler consumer transactions feed end-to-end: ensure data accuracy, refine methodologies, implement QA frameworks, prototype enhancements, use SQL/Python/PySpark and AI tooling to automate workflows, and collaborate cross-functionally to resolve high-complexity issues for clients.

Lead analytics and data science initiatives to drive measurable business outcomes across various functions, including Underwriting and Claims. Oversee the full analytics lifecycle, foster stakeholder engagement, and mentor junior team members.

As a Senior Staff Decision Scientist, you will optimize payment decisioning strategies, analyze risk data, and collaborate to improve platform performance and user experience.