Top Analysis Reporting Jobs in Minneapolis, MN

The Sr. Analyst will build reporting solutions, collaborate across teams, advocate for user-centered design, and drive employee development in data management.

The Data Architect designs and maintains the company's data architecture to facilitate analytics, reporting, and decision-making, while ensuring data quality and governance.

The Director of People Analytics and Reporting will lead data-driven HR initiatives, manage analytics teams, and develop reporting frameworks. Key responsibilities include improving data strategy, team management, stakeholder collaboration, and implementing modern analytics tools.

The Associate Weather Risk Analyst delivers weather analysis and forecasts through detailed text and graphics, collaborating with teams to maintain product quality and accuracy.

The VP of Salesforce & Marketing Technology leads the strategy and execution of Salesforce and marketing technologies, ensuring integration and compliance to enhance customer engagement and business outcomes.

The Data Engineer Senior will optimize data pipelines, work within scrum teams, mentor others, and improve data quality, reliability, and governance.

The Data Scientist Manager will lead data analysis and modeling, manage data sets, execute marketing campaigns, and provide analytic solutions to business problems.

The Business Intelligence Analyst develops and analyzes data, collaborates with business partners, and provides insights to support decision-making in the Finance & Actuarial Division.

Lead customer-facing analytics to turn multi-source data into actionable insights that drive growth and retention. Embed analytics in sales cycles, build dashboards and playbooks, translate business questions into solutions, capture customer needs, deliver trainings and demos, combine internal and industry signals to craft market perspectives, and engage with strategic customers and industry forums.

Lead design and maintenance of scalable data models, pipelines, and an enterprise semantic layer using Snowflake, DBT, Airflow, and Hackolade. Ensure data quality and governance, collaborate cross-functionally, and mentor junior analytics contributors to deliver production-grade datasets for BI, AI, and data products.