Top Analysis Reporting Jobs in Minneapolis, MN

Build GCP data pipelines, ETL/ELT processes, integrations, data models, and analytics solutions. Support AI/ML development with Vertex AI and Gemini, including MLOps, prompt engineering, embeddings, and RAG experimentation. Participate in client requirements gathering, technical implementation, data governance, quality, security, monitoring, and documentation while collaborating with senior engineers and architects.

Defines and governs information architecture for Medtronic’s digital health platform. Leads data strategy, modeling, integration, stewardship, metadata, data quality, access governance, and enterprise data standards. Partners with engineering, product, quality, regulatory, cybersecurity, legal, and business teams to document data flows, ensure secure and compliant data practices, and enable reporting, analytics, and future AI/ML initiatives.

Analyzes complex marketing, healthcare, and digital datasets to generate actionable insights, dashboards, campaign KPIs, ROI and attribution models. Develops predictive analytics, machine learning, AI applications, and customer segmentation models to improve HCP engagement and marketing performance. Supports data governance, accessibility, compliance, and responsible AI practices while partnering with marketing, sales, legal, compliance, and IT teams.

Analyze digital commerce data, develop reports and dashboards, identify trends and data-quality issues, and recommend process improvements. Collaborate with developers, business analysts, quality assurance teams, project managers, and business partners. The intern will apply data analysis, reporting, and visualization skills within an eCommerce environment.

Design, implement, and maintain cloud-based data pipelines; integrate disparate data sources; optimize data lakes/warehouses and Spark workflows; automate Quote-to-Cash/Quote-to-Fulfillment processes; collaborate with platform, analytics, and business stakeholders to deliver scalable, reliable data solutions while ensuring data quality and security.

Analyze consumer, shopper, market, category, pricing, and performance data to identify retail growth opportunities. Translate complex findings into clear reports, visualizations, presentations, and business recommendations for assortment, promotions, go-to-market, and category decisions. Collaborate with sales, search, insights, and client teams, track shared KPIs, and improve processes for collecting and communicating insights.

Leads market intelligence for global data center and power generation markets. Monitors industry and competitor trends, develops forecasts, conducts market analyses, manages intelligence resources and external vendors, and translates complex information into strategic recommendations. Partners with business leaders on investment, portfolio, growth, and long-term planning decisions while supporting strategic projects and mentoring analysts.

Build and maintain Python and SQL ETL/ELT pipelines, data architecture, cloud data warehouse datasets, workflow automations, and data validation processes. Develop dashboards and reporting solutions, troubleshoot data issues, support quantitative analysis, and collaborate with analysts, engineers, researchers, and program teams. Document workflows, manage code with Git, and improve data quality and processing efficiency.

Leads the organization’s business intelligence and analytics function, managing BI analysts and developers while overseeing reporting, dashboards, data governance, analytics delivery, and analytical data architecture. Partners with stakeholders to translate business needs into scalable data models, semantic layers, governed reporting, and actionable insights. Directs Power BI and Microsoft Fabric environments, advances data quality and self-service analytics, and evaluates AI-enabled tools. Responsibilities include team development, KPI standardization, predictive analytics, forecasting, and cross-functional solution delivery.

Supports data engineering projects involving enterprise data warehousing, ETL/ELT workflows, data integration, automation, troubleshooting, testing, documentation, and data security. Works with SQL Server, SSIS, Snowflake, Python, and Agile practices alongside experienced engineers and business partners.