Top Data & Analytics Jobs in St. Louis, MO

The Senior Data Analyst will lead efforts to address veterinary data challenges through analysis and reporting, collaborating with clients and product teams to create impactful insights and deliverables.

The Data Visualization Engineer will create data storytelling products, enhancing user experiences with intuitive data representations and collaborating closely with stakeholders on visual applications.

Analyze complex datasets to derive insights, develop monitoring models, investigate network economics, build data tools, and present findings effectively.

The Associate Analytics Consultant will support client engagements through data analysis, facilitate process improvement, and develop executive-level presentations while leading and collaborating with cross-functional teams.

The Data Engineer will develop and maintain data pipelines for healthcare analytics, ensuring data quality, compliance, and integration across diverse sources while supporting enterprise data strategy.

The Data Engineer will design and manage data pipelines for AI applications, collaborating with teams to ensure robust data infrastructure and supporting ML workloads.

The Business Analyst III will manage customer implementations of the leave management platform, translating business needs into system configurations, data management, and process documentation.

Analyze data trends and performance metrics, deliver insights for product strategy, maintain dashboards, and collaborate with teams to enhance analytics capabilities.

The Information/Data Architect develops and maintains data and information architecture strategies, ensuring proper categorization, compliance, and support for enterprise information initiatives.

Manage customer enterprise taxonomies, collaborate with stakeholders, ensure taxonomy quality, and support operational improvements and strategic roadmap development.

The Analyst in Revenue Operations will develop reports and insights, manage CRM data, analyze metrics, and collaborate across teams to enhance performance and streamline processes.

The RevOps Manager will lead data-driven analyses, collaborate with senior leadership, optimize CRM systems, mentor junior members, and conduct ad-hoc analyses to drive business improvements in revenue operations.

The Data Operations Lead will drive data analytics, build reporting pipelines, unify metrics across teams, and foster data-driven decision-making using AI and analytics.