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Part Time Data Quality Analyst Jobs in Madison, WI

This position is full or part-time, 80%-100%. * This position may require some work to be performed ... Prepares data sets for current and future analysis including cleaning/quality assurance ...

... data quality, and committed to clear written and verbal communication. Scope of Work * Author and ... pharmacovigilance documentation and analysis. Preferred Qualifications * 5+ years of ...

... data quality, and committed to clear written and verbal communication. Scope of Work * Author and ... pharmacovigilance documentation and analysis. Preferred Qualifications * 5+ years of ...

Investigate and analyze the development, morphology, and behavior of microscopic organisms ... Utilize rubrics and established evaluation criteria to assess data quality and support AI training ...

Retail Data Collection Associate - PT

Portage, WI · On-site

$16.25 - $18.50/hr

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... Permanent Part time (Looking for supplemental income? This is it!) Flexible schedule Paid training

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Showing results 1-20

Part Time Data Quality Analyst information

See Madison, WI salary details

$34.3K

$83.3K

$137K

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

As of Aug 11, 2026, the average yearly pay for part time data quality analyst in Madison, WI is $83,270.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $97,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced by part time data quality analysts, and how can they be managed?

Part-time data quality analysts often face challenges such as limited time for deep data investigation and the need to coordinate with full-time team members who may be working different schedules. To manage these challenges, it's important to maintain clear communication with colleagues, use effective documentation practices, and prioritize tasks that have the greatest impact on data integrity. Leveraging collaborative tools and regularly attending team meetings can also help ensure alignment and smooth workflow within the team.

What does a part time data quality analyst do?

A Part Time Data Quality Analyst is responsible for reviewing, validating, and ensuring the accuracy and integrity of data within an organization. They typically perform tasks such as identifying data inconsistencies, running quality checks, and collaborating with other team members to resolve data-related issues. Working part-time, they may focus on specific projects or ongoing quality assurance activities, helping organizations maintain reliable and high-quality data for decision-making and reporting. Their work supports data-driven business processes and helps prevent costly errors.

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

To thrive as a Part Time Data Quality Analyst, you need strong analytical skills, attention to detail, and a background in statistics or data management, often supported by a bachelor’s degree or relevant experience. Familiarity with data analysis tools like SQL, Excel, and data visualization software, as well as knowledge of data quality frameworks, is typically required. Excellent problem-solving abilities, communication skills, and time management distinguish top performers in this role. These competencies are crucial for ensuring accurate, reliable data that supports informed business decisions and operational efficiency.

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

AspectPart Time Data Quality AnalystPart Time Data Analyst
Primary FocusEnsuring data accuracy, integrity, and quality standardsAnalyzing data sets to identify trends, insights, and support decision-making
Required SkillsData validation, quality control, attention to detailData analysis, reporting, visualization skills
CertificationsData quality certifications or related training often preferredStatistical or data analysis certifications beneficial
Work EnvironmentMostly in data management teams, quality assurance departmentsAcross various departments, including business intelligence and analytics

While both roles involve working with data, the Part Time Data Quality Analyst primarily focuses on maintaining data accuracy and integrity, whereas the Part Time Data Analyst emphasizes interpreting data to generate insights. Understanding these differences helps in choosing the right role based on your skills and career goals.

What are the most commonly searched types of Data Quality Analyst jobs in Madison, WI? The most popular types of Data Quality Analyst jobs in Madison, WI are:
Infographic showing various Part Time Data Quality Analyst job openings in Madison, WI as of August 2026, with employment types broken down into 100% Part Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $83,270 per year, or $40 per hour.

$82K/yr

Full-time, Part-time

Retirement, PTO

Posted 7 days ago


University Of Wisconsin-Madison rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

125th of 617 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

Sourced by ZipRecruiter

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