Top Data & Analytics Jobs in Minneapolis, MN

Develop and govern enterprise conceptual, logical, and physical data models across business domains. Establish modeling standards, metadata practices, data definitions, and governance processes. Design integration patterns supporting ERP, CRM, cloud, warehouse, data mesh, and data fabric environments. Collaborate with business and technical stakeholders, optimize data structures, document lineage, mentor junior professionals, and ensure model alignment with enterprise architecture and data strategy.

Supports customer analytics and commercial economics by applying AI modeling, SQL, Excel, and business intelligence to identify revenue, retention, margin, bundling, cross-sell, and expansion opportunities. Extracts and validates data from disparate sources, identifies behavioral patterns, builds forecasts, and delivers actionable insights to Sales, Marketing, Product, Revenue Operations, and Lifecycle teams. The role influences commercial and go-to-market decisions across customer segments, products, and channels.

Leads a team of five statisticians and data scientists while establishing experimentation standards across R&D. Owns end-to-end Design of Experiments strategy, advanced statistical modeling, decision-ready analytics, and reusable analytical tools. Partners with product development, process development, quality, and operations to improve product and process robustness. Coaches R&D teams, strengthens data and measurement discipline, and drives statistical rigor in a matrixed environment.

Develops and administers complex ETL and ELT data integration solutions using Microsoft Fabric, SQL Server, Lakehouses, Warehouses, pipelines, notebooks, and SSIS. Designs reliable data flows, consumption views, semantic datasets, and enterprise data models; troubleshoots data quality and pipeline issues; supports database administration, backup and recovery, reporting, deployment, and CI/CD. Collaborates with business, analytics, technical, vendor, and reporting teams to deliver secure, scalable, trusted data products.

Design, build, and operate Azure-based data pipelines and integrations. Consolidate data from multiple sources into centralized SQL systems, perform transformations and field mapping, and maintain data warehouse capabilities. Troubleshoot quality, integrity, latency, security, and reliability issues while applying governance, monitoring, and SLA practices. Collaborate with engineers, analysts, and stakeholders in Agile pods to deliver reusable, analytics-ready data assets.

Supports enterprise Power BI reporting by developing dashboards, reports, semantic models, datasets, and DAX measures. Assists with testing, deployment, workspace administration, governance, data validation, documentation, and business-user collaboration. The intern contributes to an enterprise Power BI application while learning business intelligence, data management, and reporting best practices.

Performs accurate data entry for the Family Homeless Prevention and Assistance Program in SIMS and HMIS. Verifies records, responds to data inquiries, manages source documents, supports database integrity, and coordinates with help desks to resolve inconsistencies or missing information. This temporary, part-time position requires confidentiality, computer literacy, typing accuracy, independent work, occasional local travel, and in-person attendance.

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 and improve business systems, workflows, data quality, reporting, and operational processes. Administer and optimize Deltek Vantagepoint, develop Power BI dashboards and data models, validate reporting accuracy, support CRM and financial data, and translate business requirements into scalable system solutions. Provide user support, documentation, training, testing, and implementation leadership while collaborating across Finance, HR, Marketing, Operations, and project teams.

Supports geospatial services for renewable energy projects by maintaining geodatabases, conducting spatial analyses, creating publication-quality maps and permitting exhibits, integrating GPS, aerial imagery, and drone data, and documenting data quality and metadata. Collaborates with engineers, environmental scientists, project managers, and senior GIS analysts while gaining practical experience in site selection, constraints mapping, and permitting deliverables.