Data Analyst Jobs in St. Louis, MO

Collects, analyzes, reconciles, and organizes information from multiple sources for DEA asset forfeiture casework. Responsibilities include accurate data entry, maintaining physical and electronic case files, tracking deadlines, coordinating information requests, preparing reports and summaries, processing case documents, and providing status updates. The role requires strong attention to detail, organization, communication, Microsoft Office proficiency, U.S. citizenship, and completion of a seven- or ten-year background investigation.

Collects, analyzes, reconciles, and organizes information from multiple sources for DEA asset forfeiture casework. Enters and maintains data in databases, documents, and spreadsheets; manages physical case files and deadlines; coordinates information requests; prepares accurate reports, summaries, and responses; performs case-related word processing; and provides timely status updates.

Design, build, and maintain Power BI and Tableau dashboards; analyze large, complex datasets using SQL, Python, and statistical methods; partner with data engineering and business stakeholders to ensure data quality; translate findings into clear, actionable stories and executive-level presentations; support firmwide analytics growth and automation.

Analyze producers' books using internal and external data to identify cross-sell leads and trends. Generate Power BI/Excel reports, apply data mining and AI methods to surface opportunities, and collaborate with producers and national/regional teams to drive cross-selling initiatives and recommendations.

Perform data analysis and visualization, develop and sustain analytic models and dashboards for insider-threat detection, collaborate with stakeholders, manage metrics, support policy/process documentation, and maintain GEOINT tools and scripts. Requires active TS/SCI clearance.

Maintain and build a Metadata Application Profile (MAP) to integrate metadata from multiple data stores into a search and discovery system. Assess metadata quality, run queries using UI/API/Postgres/Elasticsearch, create design documents for new data stores, coordinate with data stewards, and investigate metadata discrepancies and tickets to enable enterprise-wide imagery and data discovery.

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.