Top Senior Data & Analytics Jobs in St. Louis, MO

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Partner with People teams to turn HR and org data into actionable insights. Build complex queries, statistical analyses, dashboards, and a centralized people data repository. Drive data governance, data quality, and stakeholder communication to support hiring, retention, productivity, and workforce decision-making.

Owner of the analytics foundation: design and maintain BigQuery/dbt models, pipelines, and Looker Studio reporting; build AI workflows and web apps on GCP; integrate marketing, e-commerce, and fulfillment data; ensure GCP ops, security, and reliability; use AI-assisted tools daily and collaborate with business and client stakeholders.

Drives data collection, analysis, KPI reporting, dashboard development, forecasting, and executive presentations. Builds standardized reporting processes, improves data quality, investigates metric fluctuations, and translates business requirements into actionable insights. Collaborates with cross-functional teams, leadership, vendors, and partners to prioritize information needs, maintain data integrity, automate reporting, and communicate findings effectively.

Leads complex data and reporting solutions across the product lifecycle. Partners with customers, engineers, architects, vendors, and project teams to gather requirements, build datasets, reports, and dashboards, analyze business problems, manage testing, resolve defects, assess risks, and deliver improvements. Provides subject matter expertise, strategic direction, customer communication, cost-benefit analysis, compliance oversight, and mentorship to data analysts.

Performs complex commercial insurance data analysis, develops business recommendations, improves reporting processes, communicates insights to partners and senior management, and supports strategic initiatives. The role requires strong statistical, analytical, coding, and data visualization skills, along with insurance knowledge, cross-functional collaboration, mentorship, and occasional travel.

Owns enterprise database platforms, applications, APIs, integrations, and data warehouse operations. Leads cloud-based data modernization, Azure platform evaluation, AI-enabling data architecture, governance, security, and Dynamics 365 migration readiness. Translates business requirements into scalable solutions, manages technical project lifecycles, collaborates with vendors and IT leadership, and mentors team members.

Leads data discovery, profiling, quality assessment, and Source-to-Target Mapping for wealth management data platforms. Analyzes complex financial datasets using advanced SQL, documents business rules and transformations, translates requirements for ETL and data engineering teams, supports data governance and testing, and communicates findings to technical and business stakeholders.

Designs, builds, administers, and troubleshoots cloud data architectures, databases, schemas, metadata repositories, ETL processes, and analytic models. Ensures data integrity and quality, develops SQL queries and reports, leads testing and automation improvements, and supports dashboards, governance, data sharing, and metric collection. Collaborates with Agile teams to translate business requirements into technical infrastructure designs and decision-support capabilities using AWS, Java, Python or Scala, GitLab, and Terraform.

Design, deploy, secure, and optimize enterprise database environments supporting mission-critical ArcGIS systems. Responsibilities include database architecture, configuration, backup and recovery, high availability, disaster recovery, performance tuning, access controls, automation, data loading, and integration. The role operates across cloud, on-premises, and hybrid infrastructures and provides technical guidance to project teams and customers.

Design, architect, and build batch, real-time, and event-driven data platforms and streaming applications. Integrate monitoring and IT operations tools, create data schemas and models, mentor peers, engage in pre-sales, and provide technical leadership and documentation for enterprise data solutions.