Skip to content

Open nowPosted yesterday

Data Analyst

Wisconsin617 open roles

Where
University of Wisconsin Madison
Work mode
Hybrid
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowData AnalystWisconsin · University of Wisconsin Madison
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Wisconsin's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.1% of postings close within 7 days. Measured by our own scanner across the market. Wisconsin postings stay open a median of 13 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.1%7 days
  4. 21.1%14 days
  5. 35.7%30 days
  6. 58.7%60 days
This job: posted yesterday

Wisconsin median: 13 days open

The posting

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:

Policy and Planning Analyst I

Job Summary:

The University of Wisconsin-Madison School of Education is one of the nation's leading schools of education, recognized for excellence across the arts, education, and health. Guided by the Wisconsin Idea, the School advances teaching, research, and public service through 10 academic departments and a broad network of research, outreach, and administrative units that support students, faculty, staff, and communities across Wisconsin and beyond.

Reporting to the Director of the Office of Data and Analytics (ODA), the Data Analyst supports strategic planning and decision-making across the School through analysis of academic, budget and finance, human resources, research, and student data. Using institutional data and information from a variety of campus sources, the analyst develops and maintains reports, dashboards, and analytical tools that provide actionable insights for School leadership, academic departments, and administrative units. This role is ideal for a detail-oriented and analytical professional who is a critical thinker, self-starter, and collaborative partner with a passion for using data to support informed decision-making and continuous improvement.

Examples of areas of responsibility include:

  • Develop, maintain, and enhance dashboards and reports that support School of Education leadership, academic departments, and administrative units’ decision-making.
  • Analyze trends and patterns across academic, student, research, financial, and other operational data.
  • Support reporting and analysis related to enrollment, retention, scholarships, post-graduation outcomes, course access, graduate education, research activity, and departmental and budget metrics.
  • Prepare analysis and reporting for program review, accreditation, rankings submissions, and strategic planning initiatives.

Key Job Responsibilities:

  • Tracks sources of information relevant to policy development affecting the higher education sector
  • Works with business intelligence/analyst function in computing services to develop data visualization and business intelligence capability
  • Designs and develops policy analyses and briefing papers for unit leadership
  • Provides project support for, and further enhancement of, unit initiatives
  • Reviews, monitors, and evaluates policies and data analyses to present as evidence-based support for unit bids, applications, and decision-making
  • Assists in establishing guidelines and procedures to ensure adequacy, quality, and reliability of information sources

Department:

School of Education, Office of Data and Analytics

Compensation:

The minimum starting salary is $75,000, with flexibility based on qualifications and experience.

Employees in this position can expect to receive benefits such as:

  • Generous vacation, holidays, and paid time off
  • Competitive insurance and savings accounts
  • Retirement benefits

Please review the summary of benefits for more information.

Required Qualifications:

  • One year of professional experience analyzing large datasets to answer organizational, operational, policy, or research questions and produce reports and analyses.
  • Proficiency querying relational databases using SQL or similar database programming languages.
  • Experience working with large datasets from operational data systems.
  • Experience assessing data quality, validating analytical results, and identifying and investigating discrepancies across data sources and reporting systems.
  • Demonstrated ability to manage multiple projects, priorities, and responsibilities while maintaining a high level of accuracy and attention to detail.
  • Proficiency with Microsoft Office, particularly Excel (including data analysis tools such as Pivot Tables and Power Query) and PowerPoint.

Preferred Qualifications:

  • Experience using data and analytical methods to evaluate policy or program outcomes and inform policy development and program evaluation.
  • One year of experience working in higher education administration.
  • One year of experience applying statistical analysis methods and/or developing reproducible data analyses using statistical software such as R, Python, SAS, Stata, or SPSS.
  • Experience developing end-user focused dashboards, reports, and data visualizations using Tableau, Power BI, or Qlik or similar business intelligence tools.
  • Experience with high-stakes reporting and responding to compliance and regulatory requirements.
  • Experience working with stakeholders to define analytical questions, clarify requirements, and translate business needs into data analyses.
  • Demonstrated ability to communicate complex analytical results to technical and non-technical audiences through written reports, presentations, and data visualizations.
  • Experience developing and maintaining analytical and technical documentation, including the use of version-control tools such as GitLab.
  • Interest in exploring the appropriate use of artificial intelligence (AI) tools to improve efficiency in workflows.
  • Demonstrated ability to develop and sustain productive working relationships.
  • Demonstrated ability to learn new software, analytical methods, and skills.

Education:

Required: Bachelor's degree.

Preferred: Master's degree and/or a degree in higher education administration, education policy, applied social sciences, or a related field.

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.

To be considered for this position, applicants must upload the following materials:

  • Resume/Curriculum Vitae
  • Cover Letter

Your application materials should highlight your experience relating to the qualifications referenced above.

Important: The application has only one attachment field. Please upload all required documents in that field, either as a single combined file or as multiple files in the same upload area. All required application materials must be submitted for your application to be considered.

Please note that successful applicants are responsible for ensuring their 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 need of employer sponsorship) on or before the effective date of appointment.

The application deadline is 11:59pm on 11/15/2026.

Contact Information:

Tianwei Miller, [email protected]

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 Opportunity Employer.

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 backgrounds and 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 accommodation for 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.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Wisconsin's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on Wisconsin's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    Wisconsin's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.