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Remote Economic Data Analyst Jobs in Minnesota (NOW HIRING)

Senior Data Analyst

Minneapolis, MN ยท On-site +1

$29.90 - $36.60/hr

This position is eligible for fully remote, hybrid, or fully onsite work arrangements. ISRDI is ... sociology, economics, epidemiology, biostatistics, statistics, public health, or other related ...

Data Analyst Senior

Minneapolis, MN ยท On-site +1

$107K - $155K/yr

Degree in Business, Accounting, Finance, Economics, Analytics, or Data Science is preferred. Our approach to compensation emphasizes collaboration and career growth. We pay competitive wages and view ...

College Economics Tutor

Edina, MN ยท Remote

$18 - $40/hr

Adapts instruction using worked problems, graphing exercises, and current economic data analysis to support undergraduate economics students building analytical foundations for advanced coursework or ...

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 ...

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Remote Economic Data Analyst information

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

To thrive as a Remote Economic Data Analyst, you need strong quantitative analysis skills, proficiency in economic theory, and usually a degree in economics, statistics, or a related field. Familiarity with data analysis tools such as Excel, R, Python, and visualization platforms, along with experience using databases and data management systems, is essential. Attention to detail, problem-solving ability, and clear written communication are standout soft skills for this role. These skills enable accurate data interpretation, insightful reporting, and effective collaboration in a remote environment, driving informed business or policy decisions.

What does a Remote Economic Data Analyst do?

A Remote Economic Data Analyst is responsible for gathering, processing, and interpreting economic data to identify trends and support decision-making for organizations. They work from a remote location, using statistical software and data visualization tools to analyze economic indicators such as inflation, employment, and GDP. Their insights are often used in economic forecasting, policy analysis, and business strategy. Remote Economic Data Analysts collaborate with teams virtually and communicate their findings through reports and presentations.

What is the difference between Remote Economic Data Analyst vs Remote Data Analyst?

AspectRemote Economic Data AnalystRemote Data Analyst
Required CredentialsBachelor's in Economics, Statistics, or related field; often some experience in economic modelingBachelor's in Data Science, Statistics, or related; may require programming skills
Work EnvironmentPrimarily research-focused, analyzing economic trends and reportsData collection, cleaning, and analysis across various industries
Employer & Industry UsageGovernment agencies, economic research firms, financial institutionsTech companies, consulting firms, healthcare, retail

Remote Economic Data Analysts focus on economic trends and policy impacts, often requiring economic credentials. Remote Data Analysts handle broader data tasks across industries, with a wider range of technical skills. Both roles are remote-friendly but serve different primary functions within their fields.

How do Remote Economic Data Analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Economic Data Analysts often collaborate through digital platforms such as video conferencing, shared documents, and project management tools. Regular virtual meetings are held to discuss findings, align on project goals, and address data challenges. Analysts also communicate frequently with economists, data engineers, and business leaders to ensure that analyses meet organizational needs. Strong written and verbal communication skills are essential for conveying complex economic insights effectively in a remote setting.
What are popular job titles related to Remote Economic Data Analyst jobs in Minnesota? For Remote Economic Data Analyst jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Economic Data Analyst jobs in Minnesota look for? The top searched job categories for Remote Economic Data Analyst jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Economic Data Analyst jobs? Cities in Minnesota with the most Remote Economic Data Analyst job openings:
Infographic showing various Remote Economic Data Analyst job openings in Minnesota as of July 2026, with employment types broken down into 70% Full Time, 6% Part Time, and 24% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution.
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