Top Data & Analytics Jobs in St. Louis, MO

Develop and maintain Medicaid enrollment data and reporting solutions. Write advanced SQL queries, build databases, validate and transform high-volume data, troubleshoot data-quality issues, support audits and testing, and improve controls and processes. Translate Medicaid business requirements into scalable technical solutions and communicate actionable insights, risks, and recommendations to stakeholders.

Supervises Media Intelligence staff while producing client reports, QBRs, and ad-hoc analyses. Presents measurement findings, oversees workflow and deliverable quality, ensures data governance and privacy compliance, mentors analysts, and supports BI tool evaluation and process improvement. Requires advanced analytics, digital media measurement, BI platform, data visualization, and people-management expertise.

Build and support GCP-based data pipelines, ETL/ELT processes, data models, analytics dashboards, and AI/ML solutions. Assist with BigQuery optimization, batch and streaming ingestion, Vertex AI and Gemini experimentation, MLOps, prompt engineering, embeddings, RAG, governance, data quality, and security. Participate in client requirements gathering, technical implementation, documentation, and collaboration with senior engineers and architects.

Analyzes personal lines insurance and digital product performance using SQL, BI tools, statistical methods, and financial modeling. Partners with product, experience, actuarial, finance, and operations teams to identify growth opportunities, optimize digital customer experiences, assess risks, support business cases, and influence leadership decisions. Applies AI and automation to improve analytical efficiency, communicates insights through presentations and reports, and mentors colleagues.

Analyze and improve product and content data quality across business systems, ecommerce platforms, and customer-facing channels. Responsibilities include reconciling data, investigating discrepancies, performing audits and root-cause analysis, developing reports and dashboards, evaluating product information, and recommending process, governance, and workflow improvements. The role also manages data initiatives and communicates findings to cross-functional stakeholders.

Leads enterprise data platform architecture across ingestion, storage, processing, governance, and consumption. Defines data modeling, lifecycle, security, streaming, lakehouse, disaster recovery, and high-availability standards. Partners with engineering, ML, BI, product, and business teams; oversees architecture reviews, cost optimization, data governance, and platform initiatives. Mentors engineers and architects while producing architecture artifacts and guiding scalable, reliable data infrastructure.

Analyzes customer behavior, loyalty participation, campaign performance, and marketing engagement. Builds automated reports and dashboards, conducts testing and segmentation analysis, supports CRM and loyalty campaigns across email, direct mail, and SMS, and presents insights to cross-functional stakeholders. Recommends strategies to improve targeting, engagement, revenue, and marketing efficiency while promoting data-driven decision-making.

Build and govern semantic models in Snowflake using SQL, tests, and documentation. Translate finance, operations, and project-controls logic into auditable dimensional models; migrate legacy reporting logic; maintain models as source systems change; and resolve metric definitions with business stakeholders. The role requires strong SQL fundamentals, analytical rigor, curiosity, and communication skills. Early-career candidates are welcome, with senior engineers available for mentorship.

Analyzes customer loyalty data to generate actionable insights, recommendations, visualizations, and narratives for clients. Builds audience lists, applies segmentation and statistical modeling techniques, develops test plans, and collaborates with CRM, Data Engineering, Business Intelligence, Strategy, and Client Services teams. The role is client-facing and manages request prioritization while supporting loyalty marketing initiatives and measurable business outcomes.

Analyzes aftermarket parts growth opportunities, competitive intelligence, inventory performance, demand, and data integrity. Partners cross-functionally on selling strategies, process improvements, campaigns, and working-capital optimization. Uses SQL, Excel, Power BI, and Tableau to develop actionable insights and support strategic decisions. The role is primarily in-office in St. Louis with travel up to 25%.