Top Data & Analytics Jobs in St. Louis, MO

The role involves designing, developing, and maintaining Power BI dashboards, supporting data-driven sales operations, and ensuring data quality and governance while collaborating with various stakeholders.

The Senior Business Intelligence Engineer builds scalable, cloud-based reporting solutions for member interactions, collaborating with teams to optimize data insights and reporting for IVR/IVA/Chat channels.

The Senior Business Intelligence Engineer analyzes diverse data to solve complex business issues, influences strategy, and presents actionable insights to decision-makers.

The Senior Director Analyst in MDM leads research and advisory functions, focusing on Master Data Management strategies and providing clients with actionable insights to enhance their data initiatives. This role requires strong analytical skills and the ability to communicate complex concepts effectively.

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 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.