Top Data & Analytics Jobs in St. Louis, MO

Analyze POS, loyalty, panel, and syndicated data to generate consumer and category insights. Partner with business leaders to develop data-driven growth strategies, deliver performance reviews, and provide actionable recommendations to drive sales, market share, and category growth.

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.

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, 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.

Lead the evaluation of internal controls using CAATs, support audit processes, analyze data with ACL, and provide recommendations to enhance business processes.

The Sr. Data Architect - Digital Director leads the design and implementation of data platforms, partners with stakeholders, and provides architectural leadership while enabling analytics and AI capabilities.

Design and develop Qlikview solutions for Business Intelligence, including reports and dashboards. Collaborate in consulting environments with project lifecycle experience.

Build, test, and maintain BI reports and dashboards (Tableau/SSRS/Power BI/etc.), validate data accuracy, perform ad-hoc analysis on large datasets, document reporting infrastructure, and collaborate with Operations, Supply Chain, IT, and other teams to drive data-informed decisions and continuous improvement.

Lead data analysis for application migration: consolidate and validate datasets, perform statistical analyses, build dashboards and reports (Tableau/Power BI/etc.), define KPIs/scorecards, present insights to stakeholders, and support pre/post-migration evaluation within Agile teams.

Perform enhancements and upgrades to USPS programs, develop and maintain database schemas, monitor databases for performance, and ensure software compliance standards are met.