Top Data & Analytics Jobs in St. Louis, MO

The role involves managing data transfers, ensuring data quality, performing validation, and collaborating with teams while following security protocols.

The Experienced Demand Forecaster analyzes demand trends to optimize inventory levels and support supply chain operations within aerospace, requiring strong analytical skills and collaboration.

The FWA Data Analyst identifies and prevents fraudulent activities in Medicaid claims by analyzing data, developing algorithms, and supporting clients. Responsibilities include SQL querying, data analysis, and improving processes while collaborating with teams.

As a Senior Associate, you will develop and implement IBM MDM solutions, mentor junior team members, and manage data quality frameworks while providing insights from data analysis.

The Imagery Analyst conducts imagery research, analysis, and product creation, collaborating with other analysts to support intelligence missions. They utilize various tools and databases to monitor trends and solve intelligence problems, producing reports and assessments based on their findings.

The Director of Marketing Analytics will lead a marketing analytics team, driving insights for pipeline growth and revenue optimization, while collaborating cross-functionally to enhance measurement of marketing effectiveness.

The Sr. Competitive Intelligence Analyst supports cloud security product strategies through market analysis and competitive insights, partnering with various teams to enhance winning strategies.

The Market Risk Analyst will monitor SBL lines of credit, assess market risks, manage collateral, develop risk models, and prepare reports.

Lead analytics strategy for a financial institution, ensuring compliance and driving marketing analytics through predictive modeling and team management.

Manage and validate financial models, ensuring accuracy and compliance. Collaborate across teams to improve model performance and frameworks.

The Analyst II will leverage data analytics to derive insights, optimize credit strategies, and collaborate with cross-functional teams including Machine Learning and Engineering.

As a Senior Business Intelligence Engineer, you'll collaborate with various teams to enhance decision-making through data insights, manage data pipelines, and ensure data quality while delivering impactful dashboards.

Manage and optimize the Salesforce environment for Revenue Operations, enhancing Sales, Success, and Marketing workflows through automation and data integrity.