Top Senior Analysis Reporting Jobs in Minneapolis, MN

Collects, processes, and analyzes complex datasets to produce actionable insights, automated reports, dashboards, and visualizations. Partners with cross-functional teams to ensure data accuracy, integrity, and effective decision-making. Performs statistical analysis, validates data, improves reporting processes, and coaches stakeholders on data consumption. Preferred experience includes applying AI tools, developing AI-enabled solutions, translating business needs into AI use cases, and following responsible AI practices.

Manage client data, analytics, and AI managed-services workstreams. Develop data pipelines, dashboards, reporting, and analytics outputs; remediate data-quality issues; tune AI models and platform components; and improve data operations, observability, and reporting workflows. Collaborate with clients to translate business needs into data solutions, interpret insights, review deliverables, and mentor junior team members.

Leads the design, development, and operation of scalable data platforms and ETL/ELT pipelines using Python, PySpark, Databricks, Spark, Delta Lake, and cloud services. Responsibilities include data modeling, performance optimization, governance, lineage, quality validation, security, compliance, CI/CD, monitoring, AI/ML enablement, and data product delivery. Partners with stakeholders and mentors engineers while supporting reliable enterprise healthcare data solutions.

Designs, builds, and maintains secure data pipelines, ETL processes, data warehouses, and quality controls. Collects, validates, cleanses, and analyzes data; develops SQL queries, Tableau dashboards, and AWS-based solutions; investigates data integrity issues; documents standards; and partners with stakeholders to deliver technical solutions using Agile and DevOps practices.

Design, build, and maintain scalable ETL/ELT pipelines and data warehouse architecture. Partner with cross-functional teams to define KPIs, ensure data quality and governance, own billing data infrastructure, and deliver dashboards and analytics for leadership while mentoring peers.

Develop and execute revenue growth analyses covering pricing, promotions, price-pack architecture, product mix, and trade terms. Identify revenue and profit opportunities using shopper, customer, market, competitive, and promotional insights. Partner with Sales, Marketing, Finance, and Supply Chain on commercial planning, pricing cycles, scenario modeling, and promotional ROI. Scale analytical frameworks internationally and support the evolution of RGM tools, operating models, and decision-making routines.

Leads enterprise data architecture, SQL Server administration, data warehouse design, ETL/ELT pipelines, Azure data platforms, data governance, master data management, and business intelligence strategy. Partners with business and IT stakeholders to deliver scalable analytics solutions across financial, HR, CRM, operational, and practice management systems. Provides technical leadership, vendor coordination, architecture documentation, and mentorship.

Leads sales data capabilities for major retail customers including Walmart, Amazon, and Costco. Owns customer-facing BI products, reporting, scorecards, automation, and AI-enabled solutions. Translates customer, digital, and market data into actionable business insights, improves data governance and quality, and supports scalable cross-customer initiatives. Requires ETL, SQL, retailer data, and BI expertise, with collaboration across customer, category, and sales teams.

Mobile Analyst role requiring 6+ years experience. Candidate must have strong SQL skills and experience with DOMO, Snowflake, and Adobe Analytics (or similar). Position is located in Shakopee, MN, 12+ month duration, and restricted to U.S. citizens/local candidates.

Develops and supports standardized Global Supply Chain Finance reporting using Power BI. Designs semantic models, measures, dashboards, and visualizations; validates calculations, manages deployments and access controls, troubleshoots issues, and documents solutions. Partners with finance, reporting, analytics engineering, manufacturing, and distribution teams to define requirements, ensure data quality, translate financial information into insights, and improve reporting adoption and governance.