Top Data & Analytics Jobs in St. Louis, MO

Design, develop, and maintain scalable ETL/ELT pipelines and Snowflake data models; optimize performance; ensure data quality and integrations with CRM/ERP/billing systems; collaborate with stakeholders and evolve a Snowflake/dbt cloud-native data platform.

Lead end-to-end actuarial predictive modeling for pricing segmentation and lifetime value. Design, develop, implement, govern, and monitor loss-cost, acquisition, retention, and conversion models. Partner with Actuarial, Product, Underwriting, and IT; ensure regulatory compliance, mentor team members, and deliver high-quality, timely pricing solutions.

Analyze producers' books using internal and external data to identify cross-sell leads and trends. Generate Power BI/Excel reports, apply data mining and AI methods to surface opportunities, and collaborate with producers and national/regional teams to drive cross-selling initiatives and recommendations.

Lead individual contributor performing advanced tactical, investigative, strategic, and administrative crime analyses to support patrol operations and major investigations. Develop mapping, templates, and automated reports, mentor junior analysts, serve as primary analytical contact for partner agencies, support quality control and SOPs, and provide on-call after-hours analytical support.

Design and maintain SQL Server databases and T‑SQL stored procedures; build and monitor ETL/ELT pipelines; troubleshoot and performance‑tune queries; collaborate with software engineers and data scientists; gather stakeholder requirements; monitor database health and respond to failures; learn new skills as needed. Fully on‑site at St. Peters, MO.

Design, build, and maintain scalable Hadoop-based data processing pipelines and ETL for structured and unstructured data. Implement streaming and batch solutions (Spark, Storm, Kafka), integrate multiple data sources and NoSQL stores, optimize performance, define retention, and collaborate with product and data science teams in an Agile environment.

Build and maintain Power BI reports and Snowflake-based semantic model consumption; administer Power BI tenant (RLS, gateways, capacity); develop interactive data apps (Streamlit, React + FastAPI) hosted in Snowflake; use AI-assisted coding; collaborate with data engineers and stakeholders; manage CI/CD, version control, performance tuning, and access governance.

As a Senior Associate, you will develop Power BI dashboards, enhance low-code solutions, and collaborate with tax teams to meet reporting needs. Responsibilities include maintaining tax technology assets and ensuring data accuracy.

As a Data Engineer, you will design and build robust data pipelines, manage data infrastructure, and support data-driven strategies using advanced engineering techniques.

The Azure Senior FinOps Engineer optimizes cloud spending, manages Azure services, tracks financial performance, and supports application teams with data-driven insights.