Top Analysis Reporting Jobs in St. Louis, MO

The Manufacturing Analytics Engineer will manage the analytics pipeline, transforming operational data from OT systems into actionable insights for decision-making, while collaborating with Engineering, IT, and Operations.

The Software Engineer III role involves developing and supporting a data lake solution, collaborating within Agile teams, and working with analytics and operations to centralize data.

The Sr. Analytics Analyst will set up data feeds, create reports, perform data analysis, and ensure data quality for client implementations.

As an Associate Technical Architect, you will solve big data problems and develop solutions for migration, storage, and processing, focusing on Databricks and data engineering.

The Senior Data Engineer will design and maintain scalable data pipelines, lead medium-sized platform projects, and ensure reliability of data systems through monitoring and optimization. Responsibilities include working with cross-functional teams to improve data workflows and participate in incident response.

The role involves leading a systems analysis team for Oracle Cloud ERP in finance operations, ensuring process scalability and compliance, while mentoring team members and driving continuous improvement.

The Data Governance Leader will manage data governance engagements, align business and technical teams, implement governance processes, and coach staff on data stewardship.

The Analyst, Payments Risk- Shadow Risk Monitoring conducts merchant onboarding, risk reviews, and oversight of merchant risk monitoring while communicating with internal teams and clients.

The Actuary will drive pricing strategies, transform technical analyses into actionable insights, and support pricing processes while collaborating with cross-functional teams.

The Director of Data & Analytics will lead the Data & Analytics team, define product strategies, ensure quality outcomes, and drive user adoption of data products. They will act as a technical lead in customer interactions while balancing various internal and external data-related priorities.

The Product Analytics Data Scientist will enhance algorithms based on customer needs, optimize grocery orders, and support data use for improved ordering performance.