Top Data & Analytics Jobs in St. Louis, MO

Contract Tableau expert to design, build, and improve dashboards from source data. Model complex datasets, optimize performance and usability, establish dashboard best practices, and partner with stakeholders to deliver actionable reporting (30–35 hours/week, contractor).

Transcribe Assamese video content with timestamps, analyze speaker tone and intent, evaluate grammar and idioms, perform semantic and contextual analysis, collaborate to improve processes, and maintain confidentiality and accuracy.

Design and maintain enterprise revenue-cycle KPIs and dashboards, analyze multi-source RCM datasets, build predictive models, identify process improvements, support audit/compliance, lead stakeholder working groups, author executive deliverables, follow PM best practices, mentor junior analysts, and safeguard PHI/PII under DoD controls.

Lead analytical projects, develop quantitative models, analyze datasets for insights, and translate findings into business recommendations, primarily supporting client decision-making.

Design, build, and own end-to-end data systems and pipelines powering payments, fraud response, and reporting. Implement streaming and batch integrations, APIs, and workflow orchestration. Define data correctness with monitoring, alerting, and tests. Create reusable patterns and collaborate with stakeholders to clarify requirements and tradeoffs.

Design and deliver scalable, reliable data services and microservices for real-time and batch processing. Build REST APIs, model data across SQL/NoSQL stores, drive data quality, own deployment/monitoring/incident response, set technical standards, and mentor engineers.

Lead development and maintenance of go-to-market analytics and category management tools to optimize pricing, promotion, distribution, displays, and shelf placement. Provide actionable insights using POS and syndicated data, present business reviews to clients, track KPIs across retailers, and support sales and marketing objectives across omnichannel channels.

Lead design and execution of data migration strategies for Salesforce Revenue Cloud (CPQ & Billing). Define data architecture, mappings, and transformation logic; build SQL-based extraction and ETL processes; perform iterative test loads, reconciliation, and validation. Collaborate with clients and cross-functional teams to manage cutovers, documentation, and migration quality for quote-to-cash data.

Partner with GTM, Clinical Strategy, and Finance to build and maintain dbt models, client-facing reports, and dashboards. Perform SQL-based analyses, ROI and clinical outcomes reporting, and translate insights for non-technical stakeholders. Ensure data reliability through testing, code review, and collaboration with Data Engineering; support ad-hoc requests and automation of reporting.

The Data Scientist will work with the team to build and optimize models, interpret data, and support product development using massive data sets for advertising effectiveness.