Top Senior Analysis Reporting Jobs in St. Louis, MO

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.

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.

Own PushPress’s data platform, including ingestion, orchestration, cloud warehouse performance, governance, privacy, data quality, monitoring, and AI-ready data foundations. Build reliable pipelines integrating product, payment, and third-party data; establish data contracts, access controls, auditability, and semantic definitions; support real-time analytics and trustworthy reporting. Partner with Engineering, Data, and AI teams while maintaining infrastructure, incident response, documentation, and operational runbooks.

Build and own production data infrastructure for a healthcare AI platform. Responsibilities include REST API ingestion, Azure Event Hubs streaming into Databricks, Delta Lake medallion pipelines, entity resolution, semantic metrics, data-quality instrumentation, reconciliation, schema-drift handling, and troubleshooting source-to-warehouse discrepancies. The role requires strong Python and SQL skills, independent pipeline ownership, and experience with Databricks, Spark, PySpark, streaming, and healthcare-related data is a plus.

Leads quantitative and qualitative market research on international development, AI adoption, institutional demand, funding, procurement, competition, and commercial opportunities. Evaluates AI and data service applications, develops market assessments and strategic recommendations, manages research initiatives, prepares executive presentations, and collaborates with leadership, technical, operational, and business development teams to support market entry and growth.

Build and guide data platform capabilities supporting marketing, finance, analytics, and data science. Develop data collection, integration, scoring, experimentation, analytics, and infrastructure solutions; contribute code, lead cross-functional technical initiatives, improve system resiliency through incident response, and establish engineering standards. Partner with business and technical stakeholders to define strategy and long-term roadmaps.