Top Senior Analysis Reporting Jobs in St. Louis, MO

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.

Design, build, and maintain MART-layer data products and semantic models using governed enterprise data. Translate business needs into reusable metrics and transformations, ensure data quality, documentation, lineage, and access controls, and partner with engineering, BI, and business stakeholders to support dashboards, AI, APIs, and operational integrations.

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.

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.

Design, build, and prototype data platforms and streaming applications (Kafka, Spark, Flink). Create data schemas, integrate IT Ops tools (LogicMonitor, ServiceNow, BigPanda), configure platforms for performance/security, mentor peers, support pre-sales, and lead technical delivery across cloud environments.

The Senior Data Analyst will deliver quantitative insights and strategic recommendations for Customer Success Commercial Operations. Responsibilities include analyzing user behavior, developing commercial models and forecasts, translating business needs into actionable analyses, communicating findings to executives, and building scalable, reproducible data assets using complex SQL and code-based workflows. The role also supports go-to-market strategy, retention initiatives, revenue planning, operational decisions, product roadmaps, and mentorship of junior analysts.