Top Data & Analytics Jobs in St. Louis, MO

Manage and maintain cloud-based databases, ensure reliability and efficiency, monitor performance, implement growth strategies, and develop security standards.

The Analyst, Payments Risk- Shadow Risk Monitoring conducts merchant onboarding, risk reviews, and oversight of merchant risk monitoring while communicating with internal teams and clients.

The Product Analyst will measure results and deliver insights on new AI products, identify opportunities, and guide product strategy through data analysis and visualization.

The FHIR Evangelist will shape healthcare interoperability standards, influence federal health policy, act as a trusted advisor, and build relationships in the health IT landscape. Responsibilities include participating in working groups and translating standards into actionable guidance.

The Sr. Data Engineer will design and maintain databases, develop ETL pipelines, and ensure data integrity for Hologram's IoT network, enabling insights and decision-making.

This role involves leading workforce analytics initiatives, delivering insights on headcount, compensation, and workforce planning, while utilizing AI tools and visual analytics platforms to support decision-making processes across various HR functions.

The Analyst I will contribute to healthcare data projects, supporting research design, conducting statistical analyses, and presenting findings to stakeholders.

The Data QA Engineer designs and executes test plans for data pipelines and transformations, collaborates with teams to ensure data quality, and utilizes AI techniques for testing automation. They validate business metrics and facilitate cross-team communication.

The Business Analyst will gather and analyze business reporting requirements, translating them into actionable insights, and support dashboard development for better data visibility in a fully remote capacity.

The Software Engineer will develop and enhance Research platforms, leverage data science, and work with cross-functional teams to create scalable, maintainable systems for data products at Netflix.