Top Senior Data & Analytics Jobs in Minneapolis, MN

Designs and governs enterprise data architecture across Azure, Microsoft Fabric, OneLake, Dynamics 365 F&O, and Dataverse. Establishes architecture standards, patterns, governance, data modeling, integration, metadata, lineage, data quality, and master data practices. Defines current, transition, and future-state architectures; guides implementation with engineering teams; evaluates technologies; resolves complex technical issues; mentors engineers; and reduces technology complexity and technical debt.

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.

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.

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.

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.

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.

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.

Manages a data engineering and integration team delivering scalable data solutions aligned with technology, security, governance, and compliance standards. Oversees architecture implementation, delivery planning, data quality, lineage, metadata, risk management, operational performance, and continuous improvement. Leads hiring, coaching, resource allocation, and performance management while partnering with business stakeholders, architects, application teams, analytics groups, vendors, and technology leadership.

Provides customized healthcare operations analytics using Vizient and hospital data. Analyzes performance, costs, productivity, utilization, outcomes, supply use, and benchmarks; develops reports and actionable insights for hospital leaders. The role facilitates client meetings, translates findings into strategic and operational recommendations, ensures reporting accuracy, and contributes to mentoring and team best practices.

Leads workforce intelligence and productivity analytics for Arctic Wolf’s Security Services organization. Builds productivity, capacity, cost-to-serve, savings realization, and ROI frameworks; identifies operational inefficiencies; and provides executive reporting to guide staffing, automation, product priorities, and organizational scaling. Partners with Finance, Product, Data Science, and Engineering to measure business outcomes and validate productivity improvements. Requires advanced analytics, AI/ML modeling, SQL, BI tools, and experience in 24x7 operational environments.