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Data Analyst Sociology Jobs (NOW HIRING)

Senior Data Analyst

Minneapolis, MN · On-site +1

$29.90 - $36.60/hr

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 ...

Bachelor's degree in a related field (Information Systems, Public Administration, Sociology, Data ... Exposure to data analysis tools such as SQL, Python, Tableau, or Power BI. * Experience partnering ...

$2.1K/wk

Data Analysis Department Overview: The Department of Sociology and Criminology offers programs that teach students how to identify, understand and critically analyze patterns in the social world.

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How much do data analyst sociology jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data analyst sociology in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

Will AI replace data analyst?

AI is unlikely to fully replace data analysts, especially in sociology, as the role requires interpreting complex social data, understanding context, and applying critical thinking. Instead, AI tools can augment analysts' work by automating routine tasks and enhancing data processing. Success in this field often depends on combining technical skills with social science expertise and critical analysis.

Can a sociologist be a data analyst?

Yes, a sociologist can become a data analyst, as both roles involve analyzing social data and understanding human behavior. Sociologists often have skills in research methods, statistical analysis, and qualitative and quantitative data interpretation, which are valuable in data analysis roles. Proficiency in tools like SPSS, R, or Python can enhance their suitability for data analyst positions.

What is the highest paid job in sociology?

In sociology, the highest paid roles are often senior-level positions such as sociology professors at prestigious universities, research directors, or consultants in market research and policy analysis. These roles typically require advanced degrees, extensive experience, and strong analytical skills, and they can offer salaries exceeding $100,000 annually.

What is a Data Analyst Sociology job?

A Data Analyst in Sociology applies statistical and analytical techniques to study social patterns, behaviors, and trends. They collect, clean, and interpret data from surveys, databases, or other sources to support research or decision-making. Their work helps organizations, policymakers, or researchers understand societal issues and improve strategies based on data-driven insights.

What are the key skills and qualifications needed to thrive in the Data Analyst Sociology position, and why are they important?

To thrive as a Data Analyst Sociology, you need a strong background in statistical analysis, sociological theory, and research methods, typically supported by a degree in sociology, statistics, or a related field. Familiarity with technical tools such as SPSS, R, Python, and data visualization software, as well as experience with survey platforms, is highly valuable. Critical thinking, attention to detail, and strong communication skills help you translate complex data into meaningful insights for diverse audiences. These skills enable analysts to draw actionable conclusions that inform social research and policy decisions.

What kinds of projects or datasets does a Data Analyst Sociology typically work with on a daily basis?

As a Data Analyst Sociology, you'll often work with large datasets drawn from surveys, census records, or behavioral studies, analyzing patterns and trends related to society, communities, or human behavior. Your projects may include researching social inequalities, evaluating the effectiveness of public programs, or mapping demographic changes. Daily tasks often involve data cleaning, statistical analysis, and preparing reports or visualizations for non-technical stakeholders. You’ll collaborate closely with sociologists, policymakers, and sometimes community organizations to ensure the research outcomes are relevant and actionable.

What is a data analysis in sociology?

Data analysis in sociology involves examining and interpreting social data to identify patterns, relationships, and trends. A sociology-focused data analyst uses statistical tools and software to understand social behaviors, often working with surveys, interviews, and observational data to inform research and policy decisions.
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Infographic showing various Data Analyst Sociology job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Senior Data Analyst

Senior Data Analyst

University of Minnesota

Minneapolis, MN • On-site, Remote

$29.90 - $36.60/hr

Full-time

This job post has expired today. 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