Top Data & Analytics Jobs in St. Louis, MO

The Product Data Specialist analyzes, cleanses, and enriches product data, collaborates with vendors, and resolves data issues while ensuring accuracy.

The Databricks Solutions Architect will lead technical engagements, guiding architecture, delivery, and implementation of complex data platforms using Databricks, while mentoring teams and ensuring best practices.

The Control Tester - Data & AI Governance leads testing activities for Data and AI Governance controls, assessing their effectiveness, documenting findings, and communicating with stakeholders.

The analyst provides analytical support, updates rating tools, maintains data accuracy, and communicates with stakeholders while managing projects.

The Financial Senior Consultant drives financial analysis, communicates insights, and develops strategies to enhance business performance.

The Director of Reporting and Data Management oversees data infrastructure for Workforce Management, establishing objectives, managing teams, ensuring data storytelling aligns with strategy, and leading predictive modeling efforts.

As a Sr. Business Analyst, you will facilitate requirements gathering, process design, and solution development, particularly regarding ServiceNow for federal clients.

The Analyst coordinates mortgage servicing loan transfers, ensuring compliance with regulatory guidelines while managing pre and post-transfer activities with various stakeholders.

The Sales Insights and Promotions Analyst manages promotional tracking, reporting, and analysis for retail and e-commerce, collaborating across multiple teams to optimize promotional effectiveness and drive revenue growth.

Design and develop scalable data pipelines using PySpark and Databricks, focusing on data ingestion, transformation, validation, and performance optimization.

The Enterprise Data Architect will design and lead AmeriLife's data architecture, creating scalable data models and data mapping standards for analytics and AI workloads.

The Lead Data Engineer will design and build scalable data pipelines on Databricks, develop ETL/ELT pipelines with PySpark, and mentor engineering teams for data transformation and analytics.

The Risk Analyst will monitor merchant processing activity, investigate suspicious activities, analyze data, and collaborate on risk mitigation strategies while maintaining effective communication with clients and providing process improvements.