Top Data & Analytics Jobs in St. Louis, MO

The Senior Growth Analyst partners with product, growth, and go-to-market teams to define objectives, monitor marketplace metrics, identify opportunities, and measure initiative impact. Responsibilities include building and maintaining dashboards, conducting SQL-based investigations, sizing opportunities, supporting trusted experiments, analyzing trends, and translating insights into execution direction. The role is remote-first with occasional onsite meetings in San Francisco.

Leads the integration workstream for an Informatica SaaS MDM implementation. Designs, develops, tests, deploys, monitors, and troubleshoots batch, real-time, API-based, and event-driven integrations. Defines architecture and development standards, manages mappings and reconciliation, collaborates with business and data teams, and ensures governance and security compliance. Provides technical leadership, code reviews, mentoring, work allocation, and quality oversight for offshore developers while supporting Agile planning, deployment, and hypercare.

Lead insurance risk analytics engagements for property and casualty carriers. Responsibilities include product demonstrations, regulatory filing guidance, pilot and proof-of-concept design, loss ratio and model validation analysis, client project management, discovery sessions, and translating insights for actuarial, underwriting, and executive audiences. The role also develops AI-assisted workflows and provides customer feedback to product teams.

Lead and scale companywide analytics for a DTC marketing business: own marketing measurement, financial forecasting, retention/LTV modeling, data architecture, reporting, and the analytics team. Set analytics strategy, oversee data engineering roadmap, build dashboards, apply statistical and ML methods, and translate insights into executive-level decisions.

Analyzes paid media performance across the full funnel, connecting spend and platform metrics to applications, enrollment, student lifetime value, and ROAS. Builds attribution frameworks, Databricks data pipelines, Power BI dashboards, semantic models, and advanced DAX reporting. Supports marketing mix modeling, experimentation, web analytics data quality, forecasting, governance, and workflow automation. Translates complex analytics into strategic recommendations for executive and cross-functional stakeholders.

Leads enterprise data platform architecture, engineering standards, technical decisions, and development of scalable data products. Designs batch and streaming systems, governance, observability, security, and reliability practices. Partners cross-functionally, mentors engineers, drives modernization and migrations, and establishes reusable patterns for data modeling, orchestration, quality, and platform operations.

Lead the architecture and implementation of scalable, secure cloud data platforms for Nokia’s photonic integrated circuit operations. Build high-performance batch and streaming pipelines, enterprise data models, quality and observability frameworks, DataOps automation, governance, and AI-ready data foundations. Enable trusted self-service analytics and AI-assisted exploration while leading and mentoring product engineering teams and driving technical excellence.

Leads Relation Insurance’s enterprise data engineering and analytics function, owning data strategy, architecture, pipelines, governance, quality, reporting, and AI-enabled workflows. The role requires hands-on development in SQL, Python, and PySpark, executive communication, technical team leadership, lakehouse architecture, Power BI modeling, production support, and secure data management. The director also directs AI coding agents, builds LLM-powered workflows, establishes engineering standards, and delivers reliable data products aligned with business priorities.

Conduct pretesting, item analysis, IRT, score maintenance, data extraction, statistical reporting, and quality control for SAT assessments. Develop and maintain Python and R-based data management and statistical workflows, improve operational processes, document procedures, and evaluate AI-enabled tools. Collaborate with psychometricians and cross-functional teams to deliver accurate assessment data and reports under strict deadlines.

Collects, processes, and analyzes data from multiple sources using R, Python, and SQL. Develops reports, visualizations, analytical methods, and data-driven insights while applying statistical and introductory machine learning techniques. Collaborates with internal and external stakeholders, documents project progress in JIRA, debugs code, clarifies requirements, and communicates findings through reports and presentations.