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Part Time Data Analyst Jobs in Sun Prairie, WI (NOW HIRING)

... analyzing accounting data for multiple entities. Summary * Maintains and actively promotes ... Benefits vary by full-time, part-time, and PRN status. If you are a highly motivated individual ...

Microbiology Technician Madison Part Time MERIEUX NUTRISCIENCES As a trusted partner, our Public ... Main activities: • Prepare sample for analysis by recording, weighing, and blending • Write ...

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Part Time Data Analyst information

See Sun Prairie, WI salary details

$33.1K

$80.4K

$132.3K

How much do part time data analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for part time data analyst in Sun Prairie, WI is $80,404.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,400.00 per year, depending on experience, location, and employer.

What is a part time data analyst?

Part time data analysts are professionals who work fewer hours than a standard full-time schedule, typically analyzing and interpreting data to help organizations make informed decisions. They use statistical tools and software to process data, identify trends, and generate reports. Part time positions are ideal for those seeking flexible work arrangements, such as students, parents, or individuals with other commitments. Despite working fewer hours, part time data analysts are expected to have strong analytical skills and proficiency in data management tools. Their contributions are valuable to businesses seeking data-driven insights without the need for a full-time role.

What is the difference between Part Time Data Analyst vs Data Scientist?

AspectPart Time Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; some roles may require certifications like Microsoft Excel or SQLBachelor's or master's degree in data science, statistics, or related fields; often requires programming skills and certifications
Work EnvironmentTypically in office settings, supporting specific projects or departments, with flexible or part-time hoursUsually in tech or research environments, working on complex models and large datasets, often full-time
Employer & Industry UsageUsed across industries like finance, marketing, healthcare for data reporting and analysisCommon in tech, finance, and research sectors for developing predictive models and advanced analytics

While both roles involve data analysis, Part Time Data Analysts focus on supporting business decisions with basic data tasks, often on a flexible schedule. Data Scientists handle complex modeling and predictive analytics, typically in full-time roles. The choice depends on your skills, experience, and career goals.

Are part time data analyst jobs still in demand?

Part-time data analyst jobs remain in demand as organizations seek flexible staffing options to analyze data, generate insights, and support decision-making. Skills in tools like Excel, SQL, and data visualization software are valuable, and remote or flexible schedules are increasingly common in this field.

What does a part time data analyst do?

A part-time data analyst collects, organizes, assesses, and reviews information. In this career, you review data to ensure that it is accurate and to identify trends, provide analysis of a market or a company’s operations and processes, or meet other needs of a company or client. Data analysts typically create reports that explain their analysis. Your responsibilities also include helping to develop and deploy systems and tools to collect, extract, and categorize data so that you can analyze it more efficiently. As a part-time employee, you perform your duties for less than 40 hours per week.

What are the key skills and qualifications needed to thrive as a part time data analyst, and why are they important?

To excel as a Part Time Data Analyst, you need proficiency in data analysis, statistical methods, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with technical tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting and presenting data insights. These competencies enable accurate, actionable analyses that support decision-making, even within limited working hours.

How does a part time data analyst typically collaborate with full time team members to ensure project continuity?

As a part-time data analyst, you’ll often work closely with full-time analysts, project managers, and business stakeholders to maintain seamless project progress. Regular check-ins, clear documentation of your analyses, and using collaborative tools like shared dashboards or project management software are key practices. Flexibility and strong communication skills are essential, as you may need to align your schedule with team meetings or coordinate handoffs to ensure your work integrates smoothly with ongoing projects.
What are the most commonly searched types of Data Analyst jobs in Sun Prairie, WI? The most popular types of Data Analyst jobs in Sun Prairie, WI are:
What cities near Sun Prairie, WI are hiring for Part Time Data Analyst jobs? Cities near Sun Prairie, WI with the most Part Time Data Analyst job openings:
Infographic showing various Part Time Data Analyst job openings in Sun Prairie, WI as of August 2026, with employment types broken down into 100% Part Time. Highlights an 92% In-person, 4% Hybrid, and 4% Remote job distribution, with an average salary of $80,404 per year, or $38.7 per hour.

$82K/yr

Full-time, Part-time

Retirement, PTO

Posted 3 days ago

New


University Of Wisconsin-Madison rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

122nd of 616 rated colleges and universities


Job description

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.
Job Category: Academic Staff
Employment Type: Regular
Job Profile: Data Engineer I
Job Summary:
The Center for Health Disparities Research (CHDR), led by Director Dr. Amy Kind and Deputy Directors Drs. Nicole Rogus-Pulia and Andrea Gilmore-Bykovskyi, invites applications from highly motivated individuals to join our dynamic, growing, and multidisciplinary team. As a Research Data Engineer with CHDR, you will have the opportunity to contribute to research projects with far-reaching influence, including the largest study of its kind on social determinants of health in the context of Alzheimer's disease. Broadly, our work is focused on mechanisms of health disparities - the ways fundamental factors such as race, ethnicity, and identity interact with a complex array of geopolitical, socioeconomic, health care, cultural, social, psychological, physiological, genetic, and cellular factors to produce different population health outcomes.
We are seeking a highly motivated individual to join our team and provide expertise on data pipeline management and database engineering within a research environment. This position will work with CHDR scientists and Data Operations peers to optimize current processes related to a relational database used for scholarly research. The Research Data Engineer will join a dynamic team that works on multi-unit projects, both internal and external to UW-Madison. These projects range from the management of a robust relational database in an Azure cloud platform to produce datasets for distribution among a 24-site consortium, the creation of data visualizations for publications, and working with data analysts and IT professionals in moving forward research in health disparities.
Under the guidance of one of CHDR's Research Scientists, the successful Research Data Engineer will assist the CHDR scientific team to optimize processes within a large-scale relational database to prepare and analyze data using reproducible pipelines for research purposes. Processing would include data from multiple sources, including geographically-linked metrics of socioeconomic factors and measures of health outcomes, furthering research on and interventions in the social determinants of health.
  • This position is full or part-time, 80%-100%.
  • This position may require some work to be performed in-person, onsite, at a designated campus work location. Some work may be performed remotely, at an offsite, non-campus work location.

Knowledge, Skills, & Abilities:
  • Excellent organizational skills, strong attention to detail, and the flexibility to work both independently and collaboratively.
  • Excellent interpersonal skills related to communicating and documenting steps in the data processing pipeline.

Key Job Responsibilities:
  • Develops, constructs, tests, and maintains architectures for large-scale data management and analysis
  • Implements data analysis steps in collaboration with data scientists, statisticians, and/or other researchers and may use technologies that support data at scale
  • Organizes both data preparation and analysis steps into reproducible pipelines that can process similar data sets automatically
  • Selects appropriate technologies and optimizes pipelines for performance
  • Prepares data sets for current and future analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources and may use technologies that support data at scale

Department:
School of Medicine and Public Health, Center for Health Disparities Research, Data Analytics Core
The Center for Health Disparities Research (CHDR) is a dynamic multidisciplinary Center housed within the University of Wisconsin-Madison School of Medicine and Public Health (SMPH). Broadly, CHDR focuses on mechanisms of health disparities - with a particular focus on the social exposome and its relationship to health. CHDR is the home to the team that refined and curates the Area Deprivation Index and its data democratization portal, the Neighborhood Atlas®. CHDR is also home to the Neighborhoods Study, an NIH funded national initiative to examine the adverse social exposome's impact on neuropathology and brain health biomarkers. CHDR investigators represent all areas of the translational research spectrum, from basic science to community participatory research. CHDR also has strong relationships with local, state and federal government, non-profit organizations, and industry entities.
Compensation:
  • The expected salary range for this position is $ 62,310 up to $82,000 for highly experienced candidates and actual pay within this range will depend on experience and qualifications.
  • Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. For more information, refer to the campus benefits webpage. SMPH Academic Staff Benefits Flyer

Required Qualifications:
  • Intermediate or advanced experience using R or Python to perform data processing/ETL tasks.
  • Comfortable working in a command line environment.
  • Demonstrated experience with large scale relational database management systems.
  • Demonstrated experience in a research setting.

Preferred Qualifications:
  • Intermediate or advanced experience using R or Python and/or SQL to perform data processing/ETL tasks.
  • Demonstrated experience with data pipelining, task automation, data structures and algorithms.
  • Experience developing, debugging, and testing data processing pipelines.
  • Familiarity with Git or other version control systems.
  • Familiarity with containerization and/or virtual environment management using Docker, conda, venv, etc.
  • Familiarity with REDCap.
  • Experience working with PHI and other sensitive data.
Education:
Bachelor's Degree Preferred
How to Apply:
To apply for this position, select either "I am a current employee" or "I am not a current employee" under Apply Now. You will then be prompted to upload your application materials.
Important: There is only one attachment field. All required documents must be combined into a single file and uploaded in that field.
Required documents:
  • Cover letter
  • Resume

Your cover letter should address how your training and experience align with the required and preferred qualifications listed above. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selected.
University sponsorship is not available for this position, including transfers of sponsorship and TN visas.The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment.This position is an ongoing position that will require continuous work eligibility.If you are selected for this position you must provide proof of work authorization and eligibility to work.
Contact Information:
Kim McFarlane, kmmcfarlane@wisc.edu
Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.
Institutional Statement on Diversity:
Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.
The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.
The University of Wisconsin-Madison is an Equal OpportunityEmployer.
Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgroundsand encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.
To request a disability or pregnancy-related accommodationfor any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR)in the division you are applying to.Please make your request as soon as possible to help the university respond most effectively to you.
Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment.
The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).
The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.

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About University of Wisconsin

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The University of Wisconsin, based in Madison, WI, US, functions in the educational industry and is a renowned and respected institution for higher education. Its official website is wisc.edu. Established in 1848, this public research university is recognized globally for its innovative approach to education, research, creativity, and public service. It embodies a strong commitment to academic freedom and academic excellence. As a major contributor to the Wisconsin Idea, it aims to accomplish its mission of generating well-rounded individuals who will contribute substantially to society, the local community, and the global economy.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Madison, WI, US

Year founded

2005