Business Intelligence Jobs in Minnesota
Business Intelligence jobs in Minnesota are in strong demand, with hiring concentrated in financial services, retail and consumer goods, and healthcare analytics across the Twin Cities metro, Rochester, and Duluth. Major employers with lasting Minnesota footprints include Target, UnitedHealth Group, and Mayo Clinic, all of which maintain large data and analytics teams. Openings range from junior analyst roles to senior BI architects, with the most consistent demand in data visualization, predictive modeling, and enterprise reporting. See the openings below and apply to the ones that match your experience.
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Role Summary
The Assistant Vice President of Business Intelligence provides enterprise leadership for Blaze Credit Union's business intelligence, analytics, and performance reporting capabilities. This role guides and supports the vision, priorities, standards, and operating model that transform data into timely, trusted, and actionable insights for executive, strategic, and operational decision-making.
As a leader and trusted advisor, the AVP partners across the Credit Union to align analytics investments with organizational priorities, strengthen data literacy, advance self-service reporting, and ensure business intelligence solutions deliver measurable value. The role balances strategic leadership, technical depth, disciplined execution, and clear communication while promoting responsible, secure, and ethical use of data and artificial intelligence.
Essential Responsibilities
Enterprise Business Intelligence Strategy
- Develop and execute an enterprise business intelligence and analytics strategy aligned with organizational goals, member needs, and business priorities.
- Establish a multi-year roadmap for reporting, dashboards, advanced analytics, and decision-support capabilities.
- Identify and prioritize high-value analytics opportunities based on strategic impact, feasibility, risk, and organizational readiness.
- Advise executive and senior leaders on performance trends, business implications, emerging opportunities, and data-informed options.
- Promote a culture in which leaders and teams consistently use data to frame questions, evaluate choices, and measure results.
Leadership, Talent, and Operating Model
- Provide leadership, direction, and accountability for business intelligence strategy in collaboration with key partners.
- Define clear roles, intake processes, service expectations, development standards, and delivery practices for business intelligence and predictive analytics.
- Build business intelligence capability in business acumen, data storytelling, visualization, analytical methods, stakeholder consultation, and emerging technologies.
- Plan and manage capacity, vendor relationships, budgets, and resources to support priority initiatives and sustainable delivery.
- Foster a collaborative, curious, inclusive, and results-oriented team environment.
Reporting and Performance Management
- Lead the design and evolution of enterprise dashboards, scorecards, key performance indicators, and management reporting.
- Partner with leaders to define meaningful measures, targets, business definitions, and decision rights.
- Ensure business intelligence reporting is accurate, timely, relevant, intuitive, and appropriately tailored to executive, board, and operational audiences.
- Translate complex analysis into concise narratives, implications, and recommendations that support action.
- Establish processes to monitor adoption, usefulness, and business impact of business intelligence products.
Analytics and Decision Support
- Guide descriptive, diagnostic, predictive, and prescriptive analytics that support growth, financial performance, member experience, risk management, and operational effectiveness.
- Oversee forecasting, scenario modeling, segmentation, trend analysis, and other analytical approaches used to inform enterprise decisions.
- Ensure analytical methods and models are appropriately designed, documented, validated, monitored, and communicated.
- Evaluate opportunities to use artificial intelligence, machine learning, and automation responsibly to improve insights and outcomes.
- Connect analytical findings to business context and recommend practical actions, tests, or follow-up analysis.
Data Governance, Quality, and Risk
- Partner with Information Infrastructure and Technology, Data Governance, Risk, Compliance, and business leaders to strengthen data quality, access, security, lineage, and consistency.
- Establish and reinforce common definitions, documentation, certification standards, and controls for critical metrics and reporting assets.
- Identify material data limitations and quality concerns, communicate their business impact, and help prioritize remediation.
- Champion responsible and ethical data and AI practices, including appropriate privacy, transparency, model oversight, and human judgment.
- Ensure business intelligence practices comply with applicable laws, regulations, policies, and internal standards.
Stakeholder Partnership and Change Leadership
- Build strong relationships with leaders and subject matter experts across the Credit Union to understand business needs and shape effective solutions.
- Lead discovery and prioritization conversations that convert business questions into clear analytical requirements and decision-ready deliverables.
- Guide adoption of enterprise reporting tools and self-service capabilities through communication, education, governance, and support.
- Influence across functions, resolve competing priorities, and create alignment around enterprise definitions and shared measures.
- Represent the business intelligence function in strategic initiatives, governance forums, and enterprise planning efforts.
Education
- Bachelor's degree in Business Analytics, Data Science, Statistics, Mathematics, Economics, Computer Science, Information Systems, Finance, Business Administration, or a related field required.
Experience
- Minimum Five to Eight years of progressively responsible experience in business intelligence, analytics, data science, performance management, or a related discipline.
- Minimum Three or more years of formal leadership experience, including responsibility for talent development, prioritization, and delivery accountability.
- Demonstrated experience developing and executing analytics or business intelligence strategies and roadmaps.
- Experience designing executive dashboards, KPI frameworks, management reporting, and advanced analytical solutions.
- Experience presenting complex insights and recommendations to executive and senior leadership audiences.
- Financial services, banking, or credit union experience strongly preferred.
- Experience leading cross-functional change, governance, or enterprise technology adoption preferred.
Technical and Business Knowledge
- Advanced knowledge of business intelligence platforms, with Power BI experience strongly preferred.
- Strong proficiency in SQL and working knowledge of modern data platforms, data warehousing, semantic models, and relational databases.
- Working knowledge of SQL, Python, R, Power BI, or comparable analytical tools and methods.
- Knowledge of data visualization, dashboard design, statistics, forecasting, segmentation, predictive analytics, and model lifecycle practices.
- Understanding of data governance, metadata, data quality, privacy, security, and responsible AI principles.
- Knowledge of financial services operations, including lending, deposits, member behavior, profitability, risk, and operational performance metrics.
- Ability to evaluate technical options and communicate tradeoffs in clear business terms.
Leadership Competencies
- Strategic Leadership and Enterprise Perspective
- Business and Financial Acumen
- Data Storytelling and Executive Communication
- Analytical Judgment and Problem Solving
- Influence, Collaboration, and Relationship Management
- Talent Development and Accountability
- Change Leadership and Innovation
- Curiosity, Integrity, and Sound Judgment
- Execution, Prioritization, and Attention to Detail
Success Measures
Success in this role will be demonstrated through:
- A clear enterprise business intelligence strategy and roadmap that is aligned with organizational priorities.
- Increased leadership adoption and effective use of trusted dashboards, scorecards, and analytical insights.
- Consistent definitions, stronger data quality, and improved confidence in enterprise reporting.
- Timely delivery of high-value analytics solutions that support growth, efficiency, risk management, financial performance, and member experience.
- Measurable improvement in data literacy and self-service reporting capabilities across the organization.
- Effective governance and responsible use of advanced analytics and artificial intelligence.
- A high-performing team with clear priorities, strong partnerships, and sustainable delivery practices.
Other Duties
- Comply with applicable laws and regulations, including but not limited to the Bank Secrecy Act, the USA PATRIOT Act, and requirements administered by the Office of Foreign Assets Control.
- Maintain regular and predictable attendance.
- Perform other duties as assigned to support effective department and organizational operations.
Physical Requirements
Ability to sit and stand; communicate by phone and in person; operate a computer and standard office equipment; interact with internal staff and the public; travel to designated offices or business locations; and lift up to 20 pounds.
Diversity creates a healthier atmosphere, and we encourage diverse applicant depth and breadth. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
We are committed to providing salary ranges for all open positions. Please note that the specific compensation for this role will be determined based on your experience, qualifications, location, and internal equity considerations.
The salary range for this position is: $128,627.89-$192,941.84. This range reflects the base salary for this position. We have other benefits associated with this position which include: low-cost medical (as low as $20 a paycheck), dental insurance, vision insurance, quarterly bonuses, generous vacation and sick time hours, paid leave options, up to 6% 401k contribution, and tuition reimbursement.
See All 18 Business Intelligence Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
Find Business Intelligence JobsBusiness Intelligence Jobs by City in Minnesota
Where Minnesota roles are concentrated, by current openings.
Business Intelligence Job Market in Minnesota
A snapshot from current Minnesota openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software
- Manufacturing
- Human Resources
What Minnesota Employers Look For
The qualifications that appear most often in business intelligence jobs across Minnesota.
- Bachelor's degree in computer science, information systems, or a related analytical field
- Proficiency in BI tools such as Tableau, Power BI, or Looker
- Experience writing complex SQL queries and working with relational databases
- Ability to translate business requirements into data models and dashboards
- Familiarity with cloud data platforms such as Snowflake, Azure, or AWS
- Strong communication skills for presenting insights to non-technical stakeholders
Business Intelligence Jobs in Minnesota: Frequently Asked Questions
How do you become a business intelligence professional in Minnesota?
Business intelligence roles in Minnesota do not require a state-issued license. Most employers expect a bachelor's degree in information systems, computer science, statistics, or a related field. From there, candidates build toward positions by earning vendor-recognized credentials such as Microsoft Power BI certifications or Tableau Desktop Specialist certification, which Minnesota employers in financial services and healthcare frequently list as preferred qualifications.
How much do business intelligences make in Minnesota?
Business intelligences in Minnesota earn a median of about $128,800 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $65,730 for the lowest 10% to over $179,640 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire business intelligence professionals in Minnesota?
Minnesota business intelligence roles are posted by EDF, Graco, and CVS Health and others right now, based on current listings on Migrate Mate as of November 2026. Minnesota's concentration of Fortune 500 headquarters and large healthcare systems creates consistent demand for BI talent across multiple industries year-round.
Which Minnesota cities have the most business intelligence jobs?
Saint Paul, Minnesota, and Rogers have the most business intelligence openings in Minnesota. The Twin Cities metro drives the majority of demand thanks to its dense cluster of corporate headquarters in retail, financial services, and insurance, while Rochester's openings are heavily tied to Mayo Clinic's large analytics and research operations.
Are there remote business intelligence jobs in Minnesota?
Yes, and more than most fields. About 77% of business intelligence openings tied to Minnesota are remote or hybrid as of November 2026, reflecting how well-suited the work is for distributed teams. Roles focused on dashboard development, data modeling, and reporting tend to be the most consistently offered on a fully remote basis.
How can I get hired as a business intelligence professional in Minnesota with little or no experience?
The most realistic entry path is landing a data analyst or reporting analyst role at a large Minnesota employer and moving into a dedicated BI position from there. Target, UnitedHealth Group, and Ameriprise Financial run analyst associate programs that welcome recent graduates. Building a portfolio of Tableau or Power BI dashboards using public datasets and earning a Microsoft or Tableau entry-level certification gives candidates a concrete edge when competing for junior roles.
Where can I find and apply to business intelligence jobs in Minnesota?
You can find and apply to business intelligence jobs in Minnesota on Migrate Mate, which lists current openings from employers hiring in the state right now. Search the listings to find roles that match your experience level and area of focus, then apply directly to the ones that fit.
See All 18 Business Intelligence Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
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