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

Design and build data warehouse architecture, develop ETL/ELT pipelines, implement data governance, and partner with teams to improve data systems.

Lead design, build, automation, and maintenance of enterprise reports, dashboards, and Alteryx workflows. Analyze operational and transactional data, produce executive summaries, recommend metrics and process improvements, and own a report portfolio while partnering with stakeholders to drive data-informed decisions.

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

Design, build, and operate end-to-end data pipelines and curated compliance datasets powering transaction monitoring, KYC/EDD, and screening. Ensure data quality, lineage, and audit readiness; partner with Compliance and Engineering to improve detection signal quality, define metrics, and deliver repeatable reporting and measurement frameworks for control effectiveness.

Lead strategic vision and execution of GitLab's data platform and analytics capabilities, focusing on AI-enabled self-service analytics and data governance.

Lead individual contributor performing advanced tactical, investigative, strategic, and administrative crime analyses to support patrol operations and major investigations. Develop mapping, templates, and automated reports, mentor junior analysts, serve as primary analytical contact for partner agencies, support quality control and SOPs, and provide on-call after-hours analytical support.

Lead design and implementation of cloud data platforms and ETL/ELT pipelines using Azure Fabric, ADF, Synapse, Databricks and SSIS. Modernize legacy systems, ensure security/compliance for financial data, implement CI/CD, mentor teams, optimize performance and drive data governance, quality, testing, and documentation to enable analytics and BI.

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.

Senior Data Modeler responsible for designing logical and physical data models, implementing database designs, planning data collection/cleansing, coordinating documentation, and partnering with data transformation teams to enable ETL/ELT pipelines, hybrid on-prem/cloud data movement, and reporting solutions.

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.