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Business Intelligence Engineer Jobs in Minnesota

Talent Groups

Power BI Engineer

Minneapolis, MN · On-site

$53.25 - $69.25/hr

Business stakeholders * TPMs/Program Managers * Data Engineers * BI Developers Core Qualifications 1. Business Analysis & Requirements Gathering Must Have * 5+ years gathering business requirements

Onto

Senior Business Intelligence Analyst

Bloomington, MN · On-site

$104K - $156K/yr

Translate business processes from Finance, Supply Chain, and other functions into robust analytical ... Handson experience working with Microsoft Fabric (Lakehouse, Data Engineering, Data Factory ...

United Soccer League (USL)

$16.50 - $20.75/hr

Job Title: Business Intelligence UWEP Position Type: Internship - For College Credit Hours Only ... Familiarity of SQL, or other programming languages. We are an equal opportunity employer and all ...

United Soccer League (USL)

$15.75 - $19.50/hr

Job Title: Business Intelligence UWEP Position Type: Internship - For College Credit Hours Only ... Familiarity of SQL, or other programming languages. We are an equal opportunity employer and all ...

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How much do business intelligence engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for business intelligence engineer in Minnesota is $55.87, according to ZipRecruiter salary data. Most workers in this role earn between $48.03 and $62.40 per hour, depending on experience, location, and employer.

What is a business intelligence engineer?

Business Intelligence Engineers are professionals who design, develop, and maintain systems and processes that help organizations collect, analyze, and interpret data. They create dashboards, reports, and data models that enable business leaders to make informed decisions. Their work typically involves data warehousing, ETL (extract, transform, load) processes, and the use of tools such as SQL, Power BI, or Tableau. BI Engineers bridge the gap between raw data and actionable business insights, playing a crucial role in data-driven organizations.

What are the key skills and qualifications needed to thrive as a business intelligence engineer, and why are they important?

To thrive as a Business Intelligence Engineer, you need strong analytical skills, expertise in data modeling, and a background in computer science or a related field. Proficiency with BI tools like Tableau, Power BI, SQL, and data warehousing systems, as well as certifications in these platforms, are highly valuable. Excellent problem-solving abilities, effective communication, and attention to detail help you translate complex data into actionable business insights. These skills ensure accurate data analysis and reporting, empowering organizations to make data-driven decisions.

How does a business intelligence engineer typically collaborate with data analysts and business stakeholders?

Business Intelligence Engineers work closely with data analysts to design and optimize data models, build robust data pipelines, and ensure accurate reporting. They also engage with business stakeholders to understand their data needs, translate requirements into technical solutions, and provide actionable insights that support decision-making. Regular collaboration involves meetings to review project progress, clarify business objectives, and adjust deliverables based on feedback, fostering a dynamic and cross-functional team environment.

What is the difference between Business Intelligence Engineer vs Data Analyst?

AspectBusiness Intelligence EngineerData Analyst
CredentialsBachelor's in CS, IT, or related field; SQL, BI toolsBachelor's in Statistics, Math, or related field; SQL, Excel
Work EnvironmentDevelops data pipelines, dashboards, reports; collaborates with IT and business teamsAnalyzes data, creates reports, visualizations; works closely with business units
Industry UsageUsed across tech, finance, healthcare for data infrastructureCommon in marketing, finance, retail for insights and reporting

Business Intelligence Engineers focus on building data infrastructure, pipelines, and dashboards to enable data-driven decisions. Data Analysts interpret data, generate reports, and provide insights. Both roles require SQL and data visualization skills but differ in scope and responsibilities.

How much does a business intelligence engineer make?

The average salary for a business intelligence engineer in the United States ranges from $80,000 to $130,000 per year, depending on experience, location, and industry. Professionals with skills in data analysis, SQL, and tools like Tableau or Power BI tend to earn higher salaries, especially with advanced certifications or experience in large organizations.

What do business intelligence engineers do?

Business intelligence engineers analyze data to help organizations make informed decisions by designing and maintaining data pipelines, dashboards, and reports. They often use tools like SQL, data visualization software, and programming languages such as Python or R to extract, process, and interpret large datasets.
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Business Intelligence Engineer jobs near you
Infographic showing various Business Intelligence Engineer job openings in Minnesota as of August 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $116,217 per year, or $55.9 per hour.

Senior Business Intelligence Manager

Mayo Clinic

Rochester, MN

Full-time

Medical, Dental, Vision, Retirement

Re-posted 8 days ago

Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 705 frontline employees who took The Breakroom Quiz

135th of 898 rated healthcare providers

Job description

Plays critical role supporting advancement of analytics and data science activities of Mayo Clinic. Collaborates closely with Marketing team (including direct), Information Technology

functional experts, and others as needed. Acts as an internal consultant by applying high order analytics and business expertise to Mayo Clinic's Departments. Assists with creating business insights through world-class data science, analytical tools and approaches. Identifies insights on prospects' behaviors, financial performance, trends of giving, affinities and use of departmental resources. This includes, but it is not limited to: Statistical modeling of behaviors, propensities and affinities, as well as sentiment for a topic or interest (leveraging AI, machine learning, decision trees, clustering, pattern recognition, and other data science approaches). Self-service tools and dashboards supporting functional areas of department. Integration of external data into existing ecosystem of prospect insights tools. Decision support for functional areas of department. Analysis supporting data-driven strategies and tactics development. Input into data architecture supporting future and current needs. Other ad hoc analysis as needed.

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Benefits Highlights
  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. 

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law".  Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

Master's degree in Engineering Science, Management Information Systems, or related and 6 years of experience required.

Skills:

Relational (SQL), Cloud Oriented Databases; Experience with Tableau and other visualization tools to create self-service tools and dashboards;

Experience with data validation tests and QA testing;

Collecting data from multiple sources;

Integration of external data into existing ecosystem of prospect insights tools;

Conducting statistical analysis using packing in R & Python programming language;

Leveraging data science approaches including AI, machine learning, decision trees, clustering, and pattern recognition;

Experience with various types of data (marketing data including digital, CRM and clinical data).

Anyone seeking to apply for this position may submit an application at jobs.mayoclinic.org. Reference job Ref# 385402

Visa sponsorship is not available for this role. 

What Mayo Clinic employees say

Pay

Benefits

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Workplace

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About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919

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