Top Data & Analytics Jobs in St. Louis, MO

Design, build, and maintain scalable ETL/data pipelines across distributed systems. Ensure data quality, integrity, security, and high availability. Monitor and optimize pipeline performance, perform root cause analysis, document systems, collaborate with global teams, and participate in on-call rotations to support production data systems.

Use data to inform product strategy by analyzing product performance, designing dashboards, conducting research (surveys, win/loss, focus groups), running A/B tests, building financial models for prioritization, and communicating insights to cross-functional teams.

Lead design and delivery of a cloud-based data platform: implement CDC/streaming ingestion, modeling, transformations, cross-region DB replication, observability, governance (PII, lineage, access), and enable downstream marts while mentoring engineers and driving IaC/automation-first practices.

Part-time remote internship conducting competitive and labor-market research for skilled trades and infrastructure training, synthesizing insights using AI-assisted methods, pricing analysis, and delivering written and verbal reports to inform product and market strategy.

Lead and manage institutional research activities: supervise staff, collect and analyze quantitative and qualitative data, produce reports and dashboards, support program/course reviews, accreditation, survey design, and provide data-driven recommendations to inform institutional planning and continuous improvement.

Analyze ACH transaction data to enhance payment decisioning performance. Identify trends, evaluate data impact, and optimize risk strategies using Python and SQL in a fintech environment.

Lead and manage a small team to intake, frame, prioritize, and hand off data initiatives. Translate business needs into solution blueprints, ensure alignment with architecture and governance, define KPIs, track ROI, and drive stakeholder alignment across Claims, Finance, Marketing, and Operations.

Lead architecture and implementation of cloud-native data platforms on Google Cloud (BigQuery). Build unified batch/streaming pipelines, enforce IaC with Terraform, implement open table formats and governance (Dataplex/Data Catalog), automate data quality/lineage, partner with analytics and product teams, and mentor data engineers.

Perform part-time quality audits and evaluations of task outputs, define and refine quality benchmarks and scoring rubrics, analyze audit results to produce actionable insights and reports, and recommend process improvements to raise output quality.

Lead end-to-end payroll data integrations during client onboarding: gather requirements, configure and test inbound/outbound payroll files, create technical specifications and mappings, collaborate with clients, payroll vendors, and internal teams, perform data validation and audits, and transition clients to ongoing operations.