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Data Analytics Mba Jobs in Minnesota (NOW HIRING)

Business Analyst MCP

Rochester, MN · On-site

$80K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... administration). Performs data analysis, defines and documents business requirements, supports ... Masters and 2 years experience in business analysis, business administration, engineering ...

Business Development Manager

Anoka, MN · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Master's in Health Services Administration, MBA or related advance degree preferred Experience ... in analyzing and interpreting complex data and information in a planning and decision-making ...

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

Business Analytics Tutor

Edina, MN · Remote

$18 - $40/hr

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

... analysis, time series, index numbers, and quality control charts. Ability to explain statistical ... data-driven business strategy and MBA quantitative coursework. * Conceptual Teaching & Problem ...

... analysis, time series, index numbers, and quality control charts. Ability to explain statistical ... data-driven business strategy and MBA quantitative coursework. * Conceptual Teaching & Problem ...

... analysis, time series, index numbers, and quality control charts. Ability to explain statistical ... data-driven business strategy and MBA quantitative coursework. * Conceptual Teaching & Problem ...

Business Analyst MCP

Rochester, MN · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

... administration). Performs data analysis, defines and documents business requirements, supports ... Masters and 2 years experience in business analysis, business administration, engineering ...

Business Analyst MCP

Rochester, MN · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

... administration). Performs data analysis, defines and documents business requirements, supports ... Masters and 2 years experience in business analysis, business administration, engineering ...

Data Analytics Engineer

Edina, MN · On-site

$115K - $165K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Our 100+ stores, booming e-commerce business and a fast-growing subscription box service, Trendsend ... SQL Server Development & Administration * Develop, optimize, and maintain complex SQL Server ...

Showing results 41-60

Data Analytics Mba information

See Minnesota salary details

$56

$58

$59

How much do data analytics mba jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for data analytics mba in Minnesota is $58.02, according to ZipRecruiter salary data. Most workers in this role earn between $57.45 and $58.61 per hour, depending on experience, location, and employer.

What is a Data Analytics MBA?

A Data Analytics MBA is a Master of Business Administration program with a concentration in data analytics. This specialized MBA combines core business management education with in-depth training in data analysis, statistical modeling, and data-driven decision-making. Graduates gain skills in interpreting complex data, using analytics software, and applying insights to solve business problems, preparing them for leadership roles in data-centric industries.

How does a Data Analytics MBA typically work with cross-functional teams to drive business decisions?

As a Data Analytics MBA, you'll frequently collaborate with colleagues from departments such as marketing, finance, operations, and IT. Your role is to translate complex data insights into actionable strategies that align with business objectives. This often involves presenting findings to non-technical stakeholders, facilitating data-driven decision-making, and ensuring that analytics projects support overall organizational goals. Strong communication and project management skills are essential, as you'll bridge the gap between technical teams and business leaders.

What are the key skills and qualifications needed to thrive as a Data Analytics MBA, and why are they important?

To excel as a Data Analytics MBA, you need a strong foundation in quantitative analysis, business strategy, and data-driven decision-making, typically supported by an MBA with a focus on analytics or a related discipline. Proficiency in data visualization tools (such as Tableau or Power BI), statistical software (like R or Python), and familiarity with databases and SQL are highly valued. Outstanding problem-solving abilities, communication skills, and the ability to translate data insights into actionable business recommendations set top performers apart. These skills are essential to bridge the gap between complex data analysis and strategic business objectives, driving value for organizations.

What is the difference between Data Analytics MBA vs Data Analyst?

AspectData Analytics MBAData Analyst
Required CredentialsMBA with specialization in Data Analytics or related courseworkBachelor's degree in relevant field; certifications like CAP, Microsoft Data Analyst
Work EnvironmentBusiness settings, strategic planning, cross-departmental collaborationData-focused roles, technical analysis, reporting
Employer & Industry UsageBusiness firms, consulting, finance, marketingTech companies, finance, healthcare, retail

In summary, a Data Analytics MBA prepares professionals for strategic roles combining business acumen with data skills, while a Data Analyst focuses on technical data analysis and reporting. The MBA offers broader managerial and strategic perspectives, whereas the Data Analyst role is more technical and specialized.

Is data analyst a good career after an MBA?

A data analyst role is a strong career option after an MBA, as it combines business knowledge with data skills such as SQL, Excel, and data visualization tools. It offers opportunities for growth into senior analytics, management, or specialized roles like data scientist, often requiring continuous learning and certification. The demand for data analysts remains high across industries, making it a viable career path for MBA graduates with analytical aptitude.

What can you do with a data analytics MBA?

A Data Analytics MBA prepares graduates for roles such as data analyst, business intelligence analyst, or data manager, focusing on skills like data interpretation, statistical analysis, and using tools like SQL, Excel, and Tableau. It enables professionals to make data-driven decisions and work in industries like finance, marketing, or healthcare. The degree often includes training in leadership and strategic thinking relevant to analytics projects.

What are popular job titles related to Data Analytics Mba jobs in Minnesota?

For Data Analytics Mba jobs in Minnesota, the most frequently searched job titles are:

Infographic showing various Data Analytics Mba job openings in Minnesota as of August 2026, with employment types broken down into 17% Internship, 66% Full Time, and 17% Part Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $120,673 per year, or $58 per hour.

Director-Payor Provider Payments Analytics - Revo Health

Twin Cities Orthopedics

Bloomington, MN

$130K - $201K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 6 days ago


Twin Cities Orthopedics rating

8.2

Company rating: 8.2 out of 10

Based on 29 frontline employees who took The Breakroom Quiz


Job description

The Director of Payor/Provider Payments & Analytics is a strategic and hands-on leader responsible for overseeing payment analytics, reconciliation, and financial performance reporting across all payor contracts for a growing independent physician group. This role requires a unique blend of technical expertise (SQL, data modeling), operational leadership, and the ability to translate complex financial data into clear, actionable insights for physicians and executive stakeholders.

This role is critical to unlocking financial performance and transparency across the organization. By combining rigorous analytics with strong physician engagement, the Director will directly influence reimbursement optimization, provider satisfaction, and long-term sustainability in an evolving healthcare landscape.

The ideal candidate thrives at the intersection of finance, analytics, and healthcare operations—bringing rigor to data while effectively “telling the story” behind performance trends to drive clinical and financial decision-making.

This is a full-time role working standard business hours. Opportunity for hybrid, out of Bloomington.

Revo Health is a professional services company that partners with multiple healthcare groups to deliver exceptional patient care. This position will be employed by Revo Health, working closely with Infinite Health Collaborative (i-Health) and its operating divisions.

 

Essential Job Functions:

Leadership & Strategy

  • Lead and develop a high-performing team responsible for payor analytics, provider compensation support, payment integrity, and credentialing
  • Serve as a strategic partner to executive leadership and physicians on financial performance, reimbursement trends, and contract optimization
  • Define and execute analytics strategy aligned with organizational growth, value-based care initiatives, and contracting priorities
  • Establish best practices, controls, and scalable processes for data governance and reporting

Payor & Provider Payment Analytics

  • Oversee analysis of payor reimbursement, contract performance, and payment variance (expected vs. actual)
  • Lead initiatives to improve revenue capture, identify leakage, and enhance payment accuracy
  • Partner with revenue cycle and contracting teams to evaluate payor agreements and model financial impact
  • Support provider compensation models with accurate, transparent data and insights

Technical Analytics & Data Management

  • Serve as a hands-on leader in data extraction, transformation, and analysis using SQL and related tools
  • Design and oversee data models, reporting frameworks, and dashboards (e.g., Power BI, Tableau, or equivalent)
  • Ensure data integrity across multiple systems (EHR, billing, payor feeds, financial systems)
  • Translate business questions into data requirements and analytical outputs

Physician Engagement

  • Present complex financial and operational data to physicians in a clear, concise, and compelling manner
  • Develop intuitive dashboards and visualizations that enable physician leaders to understand key drivers of performance
  • Act as a bridge between technical teams and clinical stakeholders, ensuring insights are actionable and relevant
  • Facilitate discussions with physician leadership on productivity, reimbursement trends, and improvement opportunities
  • Work independently with minimal supervision.
  • Other duties as assigned.

Education and Experience:

Required

  •  Bachelor’s degree in Healthcare Administration, Data Analytics, Finance, or related field
  •  8–12+ years of experience in healthcare analytics, finance, or revenue cycle, with at least 3–5 years in a leadership role
  •  Advanced SQL skills (data extraction, joins, aggregations, performance tuning)
  •  Experience analyzing healthcare claims, reimbursement methodologies, and provider compensation
  •  Demonstrated ability to lead teams while remaining hands-on technically
  •  Strong communication and presentation skills, with experience working directly with physicians or clinical leaders

Preferred

  •  Experience in an independent physician group, MSO, or multi-specialty practice
  •  Familiarity with value-based care models, risk arrangements, and population health analytics
  •  Experience with BI tools (Power BI, Tableau) and data warehousing concepts
  •  Knowledge of CPT/HCPCS coding, fee schedules, and payor contract structures
  •  MBA, MHA, or related advanced degree
  • Strong analytical skills and experience in healthcare analytics.

Key Competencies

  •  Strategic thinker with operational execution
  •  Strong data storyteller—able to simplify complex analytics for non-technical audiences
  •  Technical depth—credible and capable in SQL and data architecture discussions
  •  Physician partnership mindset—collaborative, credible, and solution-oriented
  •  Continuous improvement focus—drives efficiency, accuracy, and scalability

Benefits & Compensation:

  • Actual starting pay will vary based on education, skills, and experience.
  • We offer a comprehensive benefits package - to learn more click here.
    • Employees working 30+ hours per week (60 hours per pay period) are eligible for our Medical (w/Maternity Bundle), Dental & Vision plans, as well as Tuition Reimbursement.
    • All employees, regardless of hours, are eligible for 401(k) Profit Sharing, Employee Assistance Program, Lifetime Fitness Subsidy, Car Rental discounts, Home, Auto, & Pet insurance savings programs & more.

Working Conditions:

  • Ability to sit for extended periods (up to 8 or more hours per day).
  • Frequent use of hands and fingers for typing, writing, and handling documents.
  • Occasional standing, walking, bending, or reaching within the office environment.
  • Ability to lift and carry office supplies or files weighing up to 20 pounds.
  • Visual acuity to read electronic and paper documents.
  • Auditory ability to participate in phone or video calls clearly.
  • Manual dexterity to operate standard office equipment (e.g., computer, phone, printer).

Essential Requirements: 

Ability to: 

  • Comply with company policies, procedures, practices, and business ethics guidelines. 
  • Comply with all applicable laws and regulations, (e.g. HIPAA, Stark, OSHA, employment laws, etc.) 
  • Demonstrate prompt and reliable attendance. 
  • Work at an efficient and productive pace, handle interruptions appropriately, and meet deadlines. Prioritize workload effectively.
  • Communicate respectfully and professionally in face-to-face, phone and email interactions. Apply principles of logical thinking to define problems, establish facts, and draw valid conclusions.  

Notes 

  • Revo/ i-Health is an Equal Opportunity Employer. We are committed to fostering an inclusive and accessible workplace. Reasonable accommodation may be provided to enable individuals with disabilities to perform essential job functions. Applicants or employees who wish to request an accommodation may do so by emailing HR@RevoHealth.com. For more information, please review the Know Your Rights notice from the U.S. Equal Employment Opportunity Commission.
  • We participate in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: https://www.e-verify.gov/employees/employee-rights-and-responsibilities
  • Please note: This job description is intended to describe the general nature and level of work being performed by individuals assigned to this position. It is not an exhaustive list of all duties, responsibilities, and qualifications required. Revo/ i-Health reserves the right to modify job duties or descriptions at any time, with or without notice, in accordance with applicable laws.

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