Top Data & Analytics Jobs in St. Louis, MO

The Product Analyst will write API specifications, document API functionality, collaborate across teams for data mapping, and analyze API usage for improvement opportunities.

Support daily operations and maintenance of reporting platforms: configure and validate reports/dashboards, monitor data quality, investigate issues, maintain documentation, assist testing, and respond to user inquiries while coordinating with platform managers and data teams.

This internship involves data analysis of order and delivery data, cleaning and validating data, generating reports, and collaborating with teams to recommend process improvements.

The Senior Manager, Insights & Analytics leads data-driven strategies, collaborates with multiple departments, and develops analytics to drive commercial performance in the pharmaceutical market.

As a People Team Analyst, you will conduct data analyses for People functions, support strategic decision-making with insights, and communicate findings effectively.

The Analytics Engineer/Data Scientist will develop data models for cost analysis and reporting, transforming raw data into structured datasets and providing insights for customer billing.

Build, maintain, and optimize cloud data pipelines and dbt models; design Airflow DAGs; implement dimensional models and BI dashboards; integrate healthcare data with HIPAA-compliant practices; contribute to RAG pipelines and MLOps workflows; review contractor code, monitor data quality, and document designs following governance standards.

The Business Analyst will support integration projects, maintain data formats, provide documentation, and ensure compliance with industry standards while collaborating with clients and internal teams.

Lead architecture and delivery of Boulevard's data platform, building foundational data models, pipelines, and customer-facing analytics. Collaborate with Product and Engineering to create scalable data products, Snowflake data sharing solutions, performant visualizations, and machine learning features (recommendations, forecasting, anomaly detection) to drive data-driven decision-making and product value.

Lead day-to-day management of multi-year data projects (Neighborhood Vitality Index, Hope Starts Here). Conduct quantitative and qualitative analysis, design and analyze surveys, coordinate with external partners and internal teams, perform stakeholder outreach and engagement, and produce accessible data products and communications for non-technical audiences to inform decision-making across Detroit-area organizations.