Top Analysis Reporting Jobs in Minneapolis, MN

Support and administer Oracle databases, optimize data warehouse performance, and collaborate on data technology solutions within payment systems infrastructure.

The Senior Data and Solutions Engineer develops data pipelines, manages analytics frameworks, and collaborates with stakeholders to improve data quality and reporting consistency.

The Analytics Engineer will design and maintain analytical data models, ensure data pipeline reliability, and collaborate with stakeholders to meet data needs. Responsibilities include data documentation, investigation of discrepancies, and contribution to AI data initiatives.

As a Data Engineer, you will build and deploy data infrastructure for AI products, focusing on analytics, quality measurement, and governance. You'll collaborate with cross-functional teams to create systems that enhance data evaluation and support decision-making processes.

The Manager of Marketing Mix Modeling will oversee MMM builds and integration, ensuring quality and strategic actionability of model outputs, guiding cross-functional teams in data-informed decisions.

The Senior Business Intelligence Analyst will design and maintain enterprise-level data models, dashboards, and analytics solutions, optimizing SQL queries and ensuring data quality across systems to support strategic decision-making.

The Manufacturing Performance Analytics Lead drives data-driven decision making by delivering analytics for manufacturing performance. Responsibilities include defining metrics, collaborating on visual management tools, and integrating new data for predictive analytics to improve operations across global sites.

The Enterprise Systems & BI Analyst develops, maintains, and optimizes dashboards in Power BI and NetSuite, supporting reporting and data analysis initiatives.

The Business Systems Analyst collaborates with business units to translate needs into actionable data solutions, ensuring effective reporting and compliance.

The Demand Planning Analyst role involves developing demand plans, building forecasts, supporting production needs, and collaborating across teams to enhance data integrity and business performance.