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

Wells Fargo seeks a Senior Data Management Analyst to oversee data quality, governance, and metadata activities, ensuring compliance with risk standards and leading data analysis projects.

The Innovation and Analytics Audit Manager will lead data analytics in audit processes, identifying risk opportunities, and enhancing audit efficiency in a complex banking environment.

The role involves leading data quality initiatives, performing complex analyses, validating data controls, mentoring staff, and consulting on data governance strategies.

Develop and implement innovative data solutions, mentor junior members, and build client relationships while navigating complex situations.

The role involves performing imagery analysis by researching softcopy imagery, utilizing various analysis tools, and collaborating with other analysts to produce intelligence reports.

The Senior Revenue Accountant ensures revenue recognition compliance, manages billing activities, prepares reports, and implements process improvements in a SaaS environment.

The Sr. Manager provides support and implementation for Data & Analytic solutions, focusing on finance and ERP, and managing multiple projects and teams.

As a Distinguished Data Engineer at Capital One, you'll drive adoption of technology, collaborate on data challenges, mentor talent, and influence stakeholders.

As Director of Data Analytics at Kyruus Health, you will lead the analytics team, drive strategic planning for analytics platforms, manage technical aspects, and ensure effective data governance, while promoting best practices and innovation in analytics solutions.

As a Staff Data Engineer, you will maintain and operate a data platform for ML workflows and analytics, develop data APIs, implement monitoring systems, and define data models while collaborating across teams.

Lead the design and development of scalable ML systems to enhance customer experience. Own the machine learning lifecycle, collaborate across teams, and mentor other data scientists.

The Senior Manager will forecast global hardware demand, lead demand consensus, improve forecast accuracy, and collaborate with various teams to ensure proper inventory levels.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.