Research Professional 4 - Data Analytics

University of Minnesota; Minneapolis (MN); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive wages, paid holidays, and

Tuition benefits

HSA contributions

Retirement plans

Job summary

University of Minnesota’s School of Public Health, Health Policy and Management seeks a Data Programmer and Analyst (Research Professional 4) to support LTSS-focused projects. You will construct analytic databases, conduct descriptive and regression analyses, and help design scalable data infrastructure in collaboration with faculty investigators.

The role requires strong data management, attention to detail, and effective communication; hybrid work with onsite Mayo Memorial Building in

Qualifications

• BA/BS degree with coursework in statistics, econometrics, or related field and at least 5 years of relevant experience that must include at least 1 year of research experience (in academia, other nonprofit, or corporation) involving data preparation for statistical analysis; Or a Master's degree or in health services research, public health, statistics, biostatistics, economics or a related fields and 3 years of relevant experience
• Proficiency with at least one statistical programming language (e.g. SAS, Stata, or R)
• Experience working with healthcare claims data in academic, state or local department, and healthcare settings.
• Demonstrated attention to detail and consistent documentation practices when writing statistical code.
• Willingness to learn and develop new analytical skills.
• Comfortable working both independently and collaboratively in a team environment.
• Demonstrate effective communication with written, verbal, and interpersonal skills.
• Particular interest in one or more of the following topic areas: long-term services and supports (nursing home, assisted living, home and community-based services), quality improvement, and applied policy research.

Responsibilities

• Construct analytic databases from various data sources, including healthcare claims, surveys, and electronic health records. Project data comes from utilization/claims data, eligibility and enrollment data, and assessment data.
• Clean, merge, and prepare datasets for analysis, ensuring accuracy, completeness, and compliance with data use agreements.
• Document data processes and maintain reproducible workflows.
• Conduct statistical analyses, including descriptive statistics (tabular and graphical) and regression modeling.
• Interpret and communicate analytic results in collaboration with research teams.
• Develop and maintain annotated analytic code to ensure transparency and reproducibility.
• Design, implement, and maintain data infrastructure to support ongoing and future research projects.
• Ensure data accessibility, security, and usability.
• Integrating data across multiple sources to make sure it's complete and accurate.

Skills

SAS

Stata

R

Education

Master's degree in health services research or related field

Bachelor's degree in statistics or related field

Job description

About the Job

The School of Public Health division of Health Policy and Management is seeking applications for a full-time Data Programmer and Analyst (Research Professional 4 (8354DA)-Data Analytics).

Work Arrangements: The University of Minnesota endorses a "Work. With Flexibility." and we offer a flexible work environment that meets the needs of our students, faculty, staff, and partners we serve. This position has the option to work hybrid. Work arrangements will be discussed during the interview. Onsite location: Mayo Memorial Building, 420 Delaware Street SE, TC East Bank Campus.

Job Responsibilities: The person in this role will support multiple projects focused on improving the quality of long-term services and supports (LTSS), including nursing homes, assisted living, and home- and community-based services (HCBS). This position requires strong data management and collaboration skills.

Data Management and Database Construction (50%)

• Construct analytic databases from various data sources, including healthcare claims, surveys, and electronic health records. Project data comes from utilization/claims data, eligibility and enrollment data, and assessment data.
• Clean, merge, and prepare datasets for analysis, ensuring accuracy, completeness, and compliance with data use agreements.
• Document data processes and maintain reproducible workflows.

Statistical Analysis (40%)

• Conduct statistical analyses, including descriptive statistics (tabular and graphical) and regression modeling.
• Interpret and communicate analytic results in collaboration with research teams.
• Develop and maintain annotated analytic code to ensure transparency and reproducibility.

Data Infrastructure Development (10%)

• Design, implement, and maintain data infrastructure to support ongoing and future research projects.
• Ensure data accessibility, security, and usability.
• Integrating data across multiple sources to make sure it's complete and accurate.

Example Projects

• Develop 5-star rating scores, thresholds, and risk-adjustment models for assisted living facilities in Minnesota.
• Projects with health care utilization analysis.
• Apply working knowledge of healthcare claims data to advance research aims while accounting for limitations outlined in data use agreements.
• Support analytic and data coordination activities, including project-specific data management and reporting needs.

All work will be conducted in close collaboration with faculty investigator. The position also offers opportunities to contribute to peer-reviewed journal publications resulting from these analyses.

Qualifications

Required

• BA/BS degree with coursework in statistics, econometrics, or related field and at least 5 years of relevant experience that must include at least 1 year of research experience (in academia, other nonprofit, or corporation) involving data preparation for statistical analysis; Or a Master's degree or in health services research, public health, statistics, biostatics, economics or a related fields and 3 years of relevant experience
• Proficiency with at least one statistical programming language (e.g. SAS, Stata, or R)
• Experience working with healthcare claims data in academic, state or local department, and healthcare settings.
• Demonstrated attention to detail and consistent documentation practices when writing statistical code.
• Willingness to learn and develop new analytical skills.
• Comfortable working both independently and collaboratively in a team environment.
• Demonstrate effective communication with written, verbal, and interpersonal skills.
• Particular interest in one or more of the following topic areas: long-term services and supports (nursing home, assisted living, home and community-based services), quality improvement, and applied policy research.

Preferred

• Ability to convey complex statistical information into concepts and terms for the general public.
• Demonstrated ability to manage multiple priorities across concurrent projects.

Pay and Benefits

Pay Range: $90,000 - $120,000; depending on education/qualifications/experience

Time Appointment: 100% Appointment

Position Type: Civil-Service & Non-Faculty Labor Represented Staff

Please visit the Office of Human Resources website for more information regarding benefit eligibility.

The University offers a comprehensive benefits package that includes:

• Competitive wages, paid holidays, and generous time off
• Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program
• Low-cost medical, dental, and pharmacy plans
• Healthcare and dependent care flexible spending accounts
• University HSA contributions
• Disability and employer-paid life insurance
• Employee wellbeing program
• Excellent retirement plans with employer contribution
• Public Service Loan Forgiveness (PSLF) opportunity
• Financial counseling services
• Employee Assistance Program with eight sessions of counseling at no cost
• Employee Transit Pass with free or reduced rates in the Twin Cities metro area

While our salary ranges provide a framework, it is important to note that most of the time, the initial pay may not reach the maximum of the range. This approach ensures that compensation reflects the value and unique contributions of each candidate while maintaining equity within our organization. As part of our commitment to fair and equitable compensation, please be aware that the salary offered to incoming candidates will be based on their individual credentials and experience.

Diversity

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu

Employment Requirements

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.

About University of Minnesota

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

At the University of Minnesota, we are proud to be recognized by Forbes as a Best Employer for Company Culture (2026), Best Employer for Women (2023, 2025, 2026), and Best Employer by State (2022-2026). In 2026, we also received Culture Excellence & Industry Awards recognition for employee appreciation and work-life flexibility.