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

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.

The Business System Analyst will act as a liaison between projects and stakeholders, analyzing business needs and documenting requirements, testing, and training. The role includes creating traceability matrices and project documentation while collaborating with different teams.

Analyze multi-channel fraud trends, develop data-driven insights and recommendations to prevent and detect fraud, evaluate controls and authentication strategies, support testing and implementation of fraud controls, and present executive-ready analytics to inform enterprise fraud strategy and prioritization.

Leads data engineering for Payment Operations monitoring transformation. Designs and maintains Snowflake pipelines, tables, stored procedures, monitoring scenarios, KPI infrastructure, and data quality controls. Serves as the Snowflake subject matter expert, documents architecture and operational processes, guides technical partners, and translates business needs into scalable data solutions. The role requires production data engineering experience, advanced SQL, Snowflake expertise, job scheduling, pipeline operations, and stakeholder communication.

The Sales Analyst analyzes sales and marketing data to improve efficiency and revenue. Responsibilities include KPI development, market analysis, and CRM data management.

Design and implement end-to-end data and analytics solutions on Microsoft Fabric. Lead architecture for lakehouse, data warehouse, pipelines (batch/streaming), semantic models (Power BI), governance, security (RBAC, lineage), performance optimization, and integrations with Azure and external systems. Provide technical leadership, mentorship, and governance for scalable, cost-effective Fabric platforms.

Design, build, and maintain Finance data models and scalable data pipelines on GCP. Automate workflows (Python, Airflow/Astronomer, Jenkins), ensure data governance and lineage, collaborate with stakeholders, conduct code reviews and testing, and evaluate new data sources and technologies to support financial insights.

Owner of multiple third-party and in-house applications; leads data warehouse operations, translates business requirements into technical designs, develops and tests solutions, troubleshoots issues, evaluates products, mentors junior staff, and collaborates with vendors across project lifecycles.

Lead growth of client practice in Communications, Media & Technology by defining analytics strategies, developing thought leadership, and delivering large-scale client engagements. Oversee customer analytics delivery, CRM modeling, reporting, and predictive analytics to drive client outcomes and advise on data-driven solutions.

Lead philanthropic analytics and CRM operations for Webster University. Oversee CRM (Jenzabar) optimization, donor database services, reporting, and staff supervision to ensure data integrity, operational responsiveness, and analytics that support fundraising, campaign planning, and institutional collaboration.