Top Data & Analytics Jobs in St. Louis, MO

The Director of Credit Risk Management oversees credit risk strategies, team management, regulatory compliance, and analytics in subprime lending. Responsibilities include developing credit strategies, monitoring loan portfolio performance, and leading a team of analysts while collaborating across departments.

As an Analytics Engineer, you will develop and maintain scalable data transformation pipelines, ensuring data quality and collaborating with stakeholders to create impactful reports.

The AML Data Analyst ensures compliance with AML regulations by analyzing financial transactions, conducting risk assessments, and developing detection strategies. Responsibilities include updating procedures, training clients, and enhancing monitoring capabilities.

As a Senior Analyst for the Customer Data Platform, you will ensure accurate and actionable customer data, develop audience segments, and optimize journeys while collaborating with technical and business teams.

SirenOpt is looking for individuals interested in potential future opportunities. Interested candidates can submit their resumes for consideration.

Lead marketing attribution strategy, forecasting, and analytics to influence decisions and revenue growth while collaborating with cross-functional teams.

The Manager of Data Quality will lead and mentor the Systems Acceleration & Data Quality team, overseeing data integrity and driving quality initiatives using AI and machine learning tools. Responsibilities include strategic partner collaboration, maintaining data quality trends, and managing vendor relations.

Provide insights to CFO clients on finance technology strategy, cloud ERP transformations, and vendor selections while publishing research and presenting findings.

The Business and Operations Analyst III will create data analyses, support strategic decision-making, enhance data processes, and guide analytics in the PBM space.

Lead and scale analytics engineering at ClassDojo, driving strategic data impact across teams, managing a high-performing team and overseeing data architecture and systems.