Top Data & Analytics Jobs in St. Louis, MO

Data Entry Keyers needed for a research project at an AI company. Responsibilities include data entry and designing related questions. Must have 4+ years experience and be available for at least 10 hours/week.

The Senior Customer Lifecycle Analyst will enhance marketing performance by leveraging technical expertise in customer lifecycle management, evaluating campaign effectiveness, and providing strategic insights to optimize marketing strategies.

The Director of Data will manage data needs across departments, build data tools, optimize performance metrics, and drive data adoption in the organization.

Design, develop, and manage data infrastructure for internal and client projects, focusing on large-scale data pipelines, APIs, and cloud deployments.

The job involves leveraging AWS and Snowflake for data engineering tasks within a technology-focused company, requiring US residency.

The Model Risk Data Scientist will develop model performance metrics, support model governance for financial partners, and automate model analysis processes using Python and SQL.

Lead design and implementation of scalable data infrastructure, build reliable data pipelines, collaborate cross-functionally, and influence data architecture to support analytics and operations.

The Enterprise Performance Analytics Engineer builds and maintains data pipelines and models, ensuring data quality and efficient reporting for analytics teams.

The IBM TM1 Developer will manage the SDLC for Finance applications, focusing on TM1 and migrating from Essbase, while collaborating with global teams.

The Product Analyst II will act as a strategic partner between technology and business teams, facilitating product development, documentation, and recommendations for improving healthcare payment systems.