Top Analysis Reporting Jobs in St. Louis, MO

As a Business Strategy Analyst, you will conduct market research, develop strategic plans, build financial models, and analyze data to support decision-making for manufacturing customers.

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.

As the first in-house Data Engineer, you will own the data infrastructure, build and maintain data pipelines, and collaborate with teams to ensure quality data access and insights.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Lead the evolution of data platform by designing scalable pipelines, improving data processes, mentoring teams, and modernizing data architecture.

The Principal GTM Analyst translates complex business questions into actionable insights, collaborating with Marketing and GTM teams to drive growth and marketing efficiency through advanced analytics and storytelling.

Perform enhancements and upgrades to USPS programs, develop and maintain database schemas, monitor databases for performance, and ensure software compliance standards are met.

The Data Engineer will design and implement ETL/ELT data pipelines, optimize performance, ensure data quality, and collaborate on data integration for analytics.

The Senior Data Engineer will design and implement data pipelines, optimize performance, ensure data quality, and collaborate with teams for analytics and reporting.

The role involves designing reports and dashboards for HR metrics using Power BI. It requires analyzing HR data, ensuring data quality, and collaborating with stakeholders. The position also includes supporting junior team members and maintaining data platforms.

The Director of Data Analytics leads data strategies for wealth management, enhancing reporting, data governance, integration, and self-service analytics to drive data-driven decision-making and performance.