2

Remote Health Data Analyst Jobs in Minnesota (NOW HIRING)

Senior Data Analyst

Minneapolis, MN ยท On-site +1

$29.90 - $36.60/hr

We seek a senior data analyst interested in health survey data to join our diverse team of research ... This position is eligible for fully remote, hybrid, or fully onsite work arrangements. ISRDI is ...

Data Analyst Senior

Minneapolis, MN ยท On-site +1

$107K - $155K/yr

The Data Analyst Senior cleans up data for analysis and/or visual display in a report or dashboard ... health, dental, vision, 401k and much more. To view a complete list of benefits, click here.

Job Title IT Systems Analyst III - Customer Data Hub (Data & Analytics) - Remote Requisition Number R7655 IT Systems Analyst III - Customer Data Hub (Data & Analytics) - Remote (Open) Location ...

Sr. Data Analyst | TELECOMMUTE

Minneapolis, MN ยท On-site +1

$89K - $113K/yr

Analyzing data and combining datasets to develop reporting products/solutions Team: * We are a team of 9 Data Engineers and Analysts + Engineering Managers/Leaders * We have 1 product owner on the ...

Financial Analyst - Remote

Minnetonka, MN ยท On-site +1

$60K - $107K/yr

Progressive work experience in data and analytics or related role * Academic knowledgeable of healthcare cost and quality topics, as well as able to speak to emerging industry trends * Ability to ...

next page

Showing results 1-20

Remote Health Data Analyst information

See Minnesota salary details

$33.3K

$80.9K

$133.2K

How much do remote health data analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for remote health data analyst in Minnesota is $80,939.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,200.00 and $95,000.00 per year, depending on experience, location, and employer.

What Does a Remote Health Data Analyst Do?

The job duties of a remote health data analyst include performing analysis on datasets related to the healthcare industry. In this career, you may work from home to gather relevant data from different sources, such as medical records, operational logs, and billing databases. The responsibilities of a health data analyst include using data to define healthcare trends, seek out areas for cost reduction, and analyze the cost and effectiveness of treatments. As a telecommute worker, you send reports to healthcare management personnel electronically, and you may have to communicate with them to answer questions after report submission.

What is a Remote Health Data Analyst?

A Remote Health Data Analyst is a professional who works primarily from a remote location to collect, process, and analyze healthcare data. They use statistical tools and software to interpret data from medical records, insurance claims, patient surveys, and other health information sources. Their insights help healthcare organizations improve patient care, optimize operations, and ensure regulatory compliance. Remote Health Data Analysts often collaborate with medical staff, IT teams, and administrators using digital communication tools. This role requires strong analytical skills, attention to detail, and proficiency in data management systems.

How does a Remote Health Data Analyst typically collaborate with healthcare teams while working offsite?

Remote Health Data Analysts frequently collaborate with clinicians, IT professionals, and data scientists through digital communication tools such as video conferencing, secure messaging, and shared data platforms. Regular virtual meetings are common to discuss project progress, clarify data requirements, and ensure alignment on healthcare outcomes. While working remotely offers flexibility, it also requires proactive communication and strong organizational skills to manage multiple projects and maintain data security standards. Building trust and maintaining clear documentation are essential for effective remote teamwork in this role.

What are the key skills and qualifications needed to thrive as a Remote Health Data Analyst, and why are they important?

To thrive as a Remote Health Data Analyst, you need strong analytical skills, knowledge of healthcare data standards, and at least a bachelor's degree in health informatics, statistics, or a related field. Proficiency with data analysis tools such as SQL, Python, R, and experience with electronic health record (EHR) systems and data visualization platforms like Tableau or Power BI are typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for interpreting data and collaborating remotely with teams. These skills ensure accurate data insights, enable informed decision-making, and support the delivery of efficient healthcare services from a remote environment.
What are the most commonly searched types of Health Data Analyst jobs in Minnesota? The most popular types of Health Data Analyst jobs in Minnesota are:
What job categories do people searching Remote Health Data Analyst jobs in Minnesota look for? The top searched job categories for Remote Health Data Analyst jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Health Data Analyst jobs? Cities in Minnesota with the most Remote Health Data Analyst job openings:
Infographic showing various Remote Health Data Analyst job openings in Minnesota as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $80,939 per year, or $38.9 per hour.
Senior Data Analyst

Senior Data Analyst

University of Minnesota

Minneapolis, MN โ€ข On-site, Remote

$29.90 - $36.60/hr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

About the Job
 

This is a temporary, 9-month appointment with the possibility of continuation dependent on funding and satisfactory performance. 

IPUMS makes the world's largest collection of population and health survey data freely accessible online. Hundreds of thousands of researchers worldwide use these data, and you can contribute to developing and enhancing this public good. 

We seek a senior data analyst interested in health survey data to join our diverse team of research and technology professionals. We are looking for a technically minded person who enjoys working with data and can learn new skills and knowledge quickly. 


The current senior data analyst opening is on the IPUMS Global Health team. IPUMS Global Health projects generally, and the IPUMS DHS project in particular, integrate health survey microdata from low- and middle-income countries and develop associated metadata and documentation. In this position, you will reformat public use microdata files into a consistent format, develop and implement efficient processes for creating harmonized variables and their documentation, carry out supplemental programming, run and check recoded data, update metadata control files, and collaborate on creating website content and publicity materials. You will also participate in other tasks, including user support, outreach, and involvement in other IPUMS projects.

The signature activity of all IPUMS projects is the integration of discrete datasets into a single consistently coded and documented series that enables comparative analyses over time and space. IPUMS projects share common methods and infrastructure while each has its unique challenges and timelines of deliverables. The environment is highly collaborative, and you will work closely with research scientists, data analysts, student research assistants, and software developers. We are constantly pushing the boundaries of data processing and dissemination methods, and there is considerable opportunity for initiative and creativity by all members of the research staff.

RESPONSIBILITIES 

60% Data processing: Execute all stages of the IPUMS DHS data processing pipeline, including: reformatting public use files; linking data across file types; adding samples, checking variable universes, and updating documentation for integrated variables; developing supplemental programming; tracking progress in harmonizing survey data; running, testing, and deploying recoded data; updating metadata control files; and expanding and keeping current the material on the project website. 

30% Improving workflows and processes: Identify, design, and implement improvements to established workflows, including modifying and developing code and more efficient approaches to automate data production.  Liaise with IT staff to diagnose and resolve problems and to implement reforms to workflow processes.

5% Supporting other IPUMS Global Health projects: Provide support for data production tasks on other IPUMS Global Health Projects. 

5% Other tasks: Collaborate on preparing and presenting information about IPUMS Global Health data in a variety of venues, including professional conference exhibits, workshops, webinars, online office hours, and blog posts.


Pay Range:  $29.90 - $36.60 per hour ($62,254.10- $75,000, annually), depending on qualifications

Work Location: This position is eligible for fully remote, hybrid, or fully onsite work arrangements. ISRDI is located at 50 Willey Hall in Minneapolis, MN. 

Qualifications
 

Required:

  • BA/BS degree in applied data science/analysis or quantitative social science field like geography, sociology, economics, epidemiology, biostatistics, statistics, public health, or other related discipline plus at least four years of relevant experience or a combination of education and relevant work experience to equal at least eight years. 
  • Excellent data manipulation skills (including documenting and organizing data and code)
  • Experience analyzing and integrating complex data that vary over space and time
  • Strong written, verbal, and interpersonal communication skills 
  • Ability to work independently with limited supervision and to collaborate with others
  • Attentive to detail and committed to accuracy 
  • Willingness to acquire new skills and learn IPUMS standard procedures

Preferred*: 

  • Experience using one of the IPUMS databases or other large-scale census or survey datasets
  • Experience with statistical packages (R, SPSS, Stata, or SAS)
  • Experience with technical writing, web content design, and/or public communication
  • Degree in a social science or other field where health or social science survey data are directly applicable 
  • Ability to read language(s) in addition to English and/or cultural knowledge of other world regions
  • Demonstrated commitment to diversity, equity, inclusion, and justice 

*Are you excited about this job and meet the required qualifications, but your past experience doesn't align perfectly with every preferred qualification? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. If this is you, we strongly encourage you to apply because you just may be the right candidate for this role.

About the Department
 

IPUMS is part of the Institute for Social Research and Data Innovation (ISRDI). ISRDI is an interdisciplinary research organization that includes the Minnesota Population Center, the Life Course Center, and the Minnesota Research Data Center.  ISRDI promotes a work-life balance for our staff, offering 40-hour workweeks and flexible work hours. The University also offers excellent health insurance, retirement benefits, and tuition assistance. ISRDI encourages and supports staff training and development. 

Diversity and inclusion are core values of our organization! We are committed to creating a work environment that celebrates and promotes diversity and advances a culture of inclusion for people from historically excluded and underrepresented groups. We strongly encourage members of underrepresented groups to apply.

Pay and Benefits
 

Pay Range: $29.90 - $36.60 per hour ($62,254.10- $75,000, annually); 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