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Qualitative Data Analyst Jobs in Michigan (NOW HIRING)

Excellent quantitative and qualitative skills and the ability to evaluate processes and data objectively * Strong problem formulation, problem-solving, and analysis skills * Success in implementing ...

Excellent quantitative and qualitative skills and the ability to evaluate processes and data objectively * Strong problem formulation, problem-solving, and analysis skills * Success in implementing ...

Excellent quantitative and qualitative skills and the ability to evaluate processes and data objectively * Strong problem formulation, problem-solving, and analysis skills * Success in implementing ...

Excellent quantitative and qualitative skills and the ability to evaluate processes and data objectively * Strong problem formulation, problem-solving, and analysis skills * Success in implementing ...

... qualitative and quantitative analytics (e.g., data mining, regression analysis, hypothesis testing, A/B testing, predictive modeling, model optimization, time series analysis, cluster analysis ...

... qualitative and quantitative analytics (e.g., data mining, regression analysis, hypothesis testing, A/B testing, predictive modeling, model optimization, time series analysis, cluster analysis ...

Evaluation Intern

Lansing, MI · On-site +1

$15.25 - $20.25/hr

Disaggregate and analyze quantitative and qualitative data from training evaluations and surveys. Identify trends, patterns, and opportunities for program improvement. Develop data visualizations ...

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Qualitative Data Analyst information

See Michigan salary details

$29.6K

$72K

$118.5K

How much do qualitative data analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for qualitative data analyst in Michigan is $72,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $84,500.00 per year, depending on experience, location, and employer.

What does a qualitative data analyst do?

A Qualitative Data Analyst interprets non-numerical data to uncover patterns, themes, and insights. They analyze interviews, surveys, transcripts, and other text-based or observational data to inform decision-making. Using coding techniques, thematic analysis, and software tools like NVivo or MAXQDA, they identify key trends. Their findings help businesses, researchers, and organizations understand human behavior, customer feedback, or social phenomena.

What are the key skills and qualifications needed to thrive as a qualitative data analyst?

To thrive as a Qualitative Data Analyst, you need expertise in qualitative research methods, data coding, and analytical thinking, often backed by a degree in social sciences or related fields. Familiarity with tools such as NVivo, ATLAS.ti, or MaxQDA and experience managing qualitative datasets are highly valuable. Strong attention to detail, effective communication, and the ability to synthesize information from diverse sources are standout soft skills. These abilities are crucial for producing insightful analyses and conveying complex findings to stakeholders.

What are some typical challenges a qualitative data analyst might face in their daily work?

One common challenge for Qualitative Data Analysts is managing large volumes of unstructured data, such as interview transcripts or open-ended survey responses, which require careful organization and coding. Navigating ambiguous or nuanced information to extract meaningful themes can be complex and sometimes subjective, requiring effective collaboration with research teams to ensure interpretations are accurate and balanced. Staying updated with new qualitative analysis software and methodologies is also important for delivering the best results. However, these challenges make the role engaging and provide valuable opportunities to deepen your expertise and contribute significantly to impactful projects.

Is qualitative research a stressful job?

Qualitative Data Analysts often work with complex data and tight deadlines, which can contribute to stress. However, the job typically involves collaborative environments and the use of analytical tools, and stress levels vary depending on workload and organizational support.

What job categories do people searching Qualitative Data Analyst jobs in Michigan look for?

The top searched job categories for Qualitative Data Analyst jobs in Michigan are:

What cities in Michigan are hiring for Qualitative Data Analyst jobs?

Cities in Michigan with the most Qualitative Data Analyst job openings:

Infographic showing various Qualitative Data Analyst job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $72,029 per year, or $34.6 per hour.

Accreditation Data Specialist (Hybrid)

Flint, MI • On-site

University of Michigan Flint
Colleges, Universities, and Professional Schools • 10K+ employees

Other

Medical, Life, Retirement

Posted 4 days ago


University Of Michigan rating

8.0

Company rating: 8.0 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

190th of 631 rated colleges and universities


Job description

Accreditation Data Analyst

This position integrates quantitative and qualitative data/statistical analysis, program evaluation support, and stakeholder engagement, to aid in institutional compliance, strategic decision-making, and sustained accreditation readiness. This position is responsible for developing and managing data systems to support educational programs and compliance reporting. You will support the director of accreditation by way of institutional compliance with accreditation standards and processes; collaborate with faculty, staff, students, and institutional partners to collect accreditation data; manage, clean, and analyze accreditation datasets; and maintain accreditation documentation and reporting systems. The position also assists the Director of Accreditation with accreditation site visits, coordinating logistics, documentation, and institutional communication related to the accreditation review process.

This position reports to the Director of Accreditation.

Responsibilities*

Data Management

  • Evaluate existing data collection and reporting processes and independently develop and implement improvements to support accreditation, regulatory compliance, and institutional decision-making.
  • Manage data from multiple internal and external information systems and databases to maintain, organize, retrieve, and store relevant and timely data
  • Evaluate, clean, validate, merge, and organize datasets from internal and external systems
  • Collaborate with the Office of Institutional Analysis and other university partners to identify and obtain institutional data necessary for accreditation and program evaluation.

Assessment & Evaluation

  • Managing the collection of quantitative and qualitative data
  • Analyze quantitative and qualitative data to identify trends, compliance risks, and areas for improvement; interpret findings and develop recommendations for consideration by the Director of Accreditation and other institutional stakeholders
  • Retrieve and prepare data as needed from multiple sources
  • Coordinate and facilitate dispositional assessments and maintain professional disposition data in collaboration with the Director of Accreditation

Reporting & Compliance

  • Analyze data and create tables, charts, visualizations, and other summaries appropriate for accreditation, regulatory, and institutional audiences
  • Map assessments and data onto MDE/Accreditation standards to make a case of aligned evidence
  • Retrieve, prepare, and provide quantitative analysis of data as needed for reports
  • Support the Director of Accreditation in the development and completion of required accreditation, state, and institutional reports.

Collaboration & Coordination

  • Attend off-site annual training, as well as ongoing professional development through national and state organizations (CAEP, DARTEP, MDE, etc.)
  • Collect, organize, and manage departmental records.
  • Assist with departmental special projects and events, such as Data Day Retreats and stakeholder advisory groups
  • Coordinate accreditation site visits
Required Qualifications*
  • Bachelor's degree in data analytics, a related field or an equivalent combination of education and relevant experience
  • 3 or more years of relevant progressive administrative experience in K-12 or higher education administration, which may include accreditation support, program evaluation, institutional research, assessment, quality improvement, or a related area.
  • Ability and willingness to travel to off-site training and participate in ongoing professional development.
  • Demonstrated experience collecting, cleaning, validating, merging, organizing, and analyzing quantitative and qualitative data.
  • Advanced proficiency with Microsoft Excel and experience working across multiple information systems or databases.
  • Experience preparing clear tables, charts, data visualizations, and summary reports.
Why Work at U-M Flint?

In addition to a career filled with purpose and opportunity, The University of Michigan offers a comprehensive benefits package to help you stay well, protect yourself and your family, and plan for a secure future.

Benefits include:

  • Generous time off
  • A retirement plan that provides two-for-one matching contributions after 12 months of eligible service with immediate vesting.
  • Many choices for comprehensive health insurance
  • Life insurance
  • Long-term disability coverage
  • Flexible spending accounts for healthcare and dependent care expenses.

Eligibility for benefits based on your job group, your appointment percentage and the length of your appointment. Learn more about employee benefits and eligibility from the UM Human Resources Benefits and Wellness webpage.

UM-Flint offers tuition support for eligible UM-Flint staff members. In addition, UM-Flint offers dependent tuition support (DTS) for qualified dependents of faculty and staff from all UM campuses. Information can be found at: https://www.umflint.edu/hr/benefits/.

Information about our vision, mission and values can be found at: https://www.umflint.edu/chancellor/leadership-mission-vision/.

Modes of Work

Hybrid:

The work requirements allow both onsite and offsite work and an employee has an expected recurring onsite presence. On occasion, the employee may be required and must be available to work onsite more frequently if necessitated by unit leadership or their designee and/or the job requirements.

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes here.

Background Screening

The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.

U-M EEO Statement

The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.


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About University of Michigan

Sourced by ZipRecruiter

The University of Michigan (U-M), based in Ann Arbor, MI, US, is one of America's most esteemed institutions in higher education. Established in 1817, it presides in the industry of education and research, providing a range of services including undergraduate, graduate, and professional education programs. Complementing this is an extensive research activity that has significantly contributed to various fields, from healthcare to engineering, humanities to sports. Upholding its mission "to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values", U-M consistently ranks among the top universities globally, a testament to its tradition of excellence in learning and research, and a deep commitment to innovation and discovery.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Ann Arbor, MI, US

Year founded

1817

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