Description

Equal Opportunity Employer/Veterans/Disabled


Portland State University


Position Details
Position Details Proposed Start Date12/16/2025Classification TitleAcademic ServicesRankN - No RankWorking TitleSenior Data and Research AnalystDepartment200205 - OSS Office of Student SuccessPosition NumberD91162RepresentationAU - AAUP RenewableRenewableEnd date, if applicable Position FTE1.0Tenure StatusN - not applicable

Position Summary Brief Description of PSU/School/DeptThe Office of Student Success (OSS) is an administrative office that reports to the Vice Provost for Student Success under the Office of Academic Affairs at Portland State University. OSS is designed to improve the student experience and increase retention and degree completion.Position SummaryThe Senior Data and Research Analyst will support OSS with assessment, research, and strategy development activities in contribution to Portland State’s strategic goal to elevate student success. Student success is the institution’s top priority, and this role will be critical in elevating and expanding our nationally renowned success innovations.

The Senior Data and Research Analyst will be responsible for extracting, analyzing, and reporting data from institutional and external databases to help report student success outcomes, such as retention and degree completion rates. This may include conducting modeling, analysis, and interpretation of information, as well as employing data mining or analytics to support decision making related to a wide range of student success projects and questions.

This work will primarily involve collecting, analyzing, visualizing, and reporting quantitative data but may also include reporting and analyzing qualitative data. The Analyst will present and report findings to the Office of Student Success and the broader PSU community regularly, assist in developing assessment plans for student success projects, and analyze project outcomes.

One of the analyst’s primary responsibilities will be developing and maintaining Tableau dashboards used by both faculty and staff from various units across campus to explore and track key performance indicators and student success metrics. This position specifically supports initiatives funded by the Association of Public and Land Grant Universities’ Transformational Change Collaborative grant.

Minimum Qualifications

• Bachelor’s degree with experience working in a higher education environment or similar field.
• At least two years of progressively responsible technical research or statistical experience, including hands-on use of statistical software such as SPSS, Stata, R, or equivalent for data analysis and regression modeling.
• Demonstrated ability to conduct descriptive and inferential statistical analyses, including regression, forecasting, and modeling.
• Experience applying predictive modeling or machine learning methods in a higher education context.
• Proficiency in data visualization and visual storytelling using Tableau (including dashboard design, data prep, and interactive reporting) and other tools such as Flourish.
• Ability to write, speak, and present information clearly and concisely to a wide variety of audiences.
• Demonstrated technical expertise developing queries and reports from enterprise information systems and data warehouses.
• Ability to complete assignments on time and with a high degree of quality and responsiveness and to take projects from start to finish with minimal supervision.
• Experience with information systems, data warehouses, and related business intelligence tools.
• Ability to successfully complete a background check.

Preferred Qualifications

• A Master’s degree and at least 5 years demonstrated and increasingly responsible work experience in reporting and data analysis.
• Higher education experience

Key Cultural Competencies

• Create an environment that acknowledges, encourages, and celebrates differences.
• Function and communicate effectively and respectfully within the context of varying beliefs, behaviors, orientations, identities, and cultural backgrounds.
• Seek opportunities to gain experience working and collaborating in diverse, multicultural, and inclusive settings with a willingness to change for continual improvement.
• Adhere to all of PSU’s policies including the policies on Prohibited Discrimination & Harassment and the Professional Standards of Conduct.

Environmental StewardshipContributes to a culture of environmental stewardship, practices resource conservation, and actively works toward achieving long-term sustainability goals.Work Days/HoursMonday through Friday, 8a.m. to 5p.m.Total Compensation Range & Benefits StatementSalary is dependent on several factors, and new employees will typically start around the Q1 level to allow for later growth within the salary band. PSU has a structured process for determining starting compensation, taking into account years of related experience, applicable skills, knowledge and abilities, market parity, and internal equity.

The starting annual salary for this position will be between $64,752 and $76,896, but may be negotiated above this range, dependent upon the factors above, the budget of the hiring department, and approval from HR.

An excellent benefits package includes 95% premium paid healthcare; a generous retirement and vacation package; and reduced tuition rates for employee, spouse or dependent at any of the Oregon University System schools.

Please visit our total compensation calculator to see the full value of our benefits package.

Search Details Posting Close DateProjected Close Date for PostingOpen Until Finalists IdentifiedApplication screening begins11/20/2025Quick Linkhttps://jobs.hrc.pdx.edu/postings/48670

Supplemental Questions

Required fields are indicated with an asterisk (*).

1. * Do you have experience working in a higher education setting or similar environment?
   • No
   • Yes
2. * Do you have at least two years of progressively responsible technical research or statistical experience, including hands-on use of statistical software such as SPSS, Stata, R, or equivalent for data analysis and regression modeling?
   • No
   • Yes
3. * Do you have any experience working with information systems, data warehouses, and other related business intelligence tools?
   • No
   • Yes
4. * In one to two sentences, please describe any experience you have working in a higher education setting or similar environment?

   (Open Ended Question)

5. * In one paragraph, what opportunities do you see for applying predictive modeling or machine learning methods within a higher education context, and what relevant experience do you bring to those areas?

   (Open Ended Question)

6. * Please describe your experience level developing queries and reports directly from information systems and data warehouses, including whether you have primarily worked as a report user (consuming existing reports), a report creator (independently developing new queries and reports), or both, and indicate the duration of your experience in each role.

   (Open Ended Question)

7. * On a scale of 1 (no experience) to 5 (expert- 5+ years professional experience), what level would you rate your ability to conduct descriptive and inferential statistical analyses, including regression, forecasting, and modeling?

   (Open Ended Question)

8. * In a few sentences, please describe your level of proficiency in data visualization and storytelling using Tableau(including data prep, data validation, dashboard design, dashboard interactivity, and the ability to maintain/update existing dashboards)?

   (Open Ended Question)

9. * In two to three paragraphs, please describe a time when you demonstrated your ability to write, speak, and present information clearly and concisely to a wide variety of audiences.

   (Open Ended Question)

10. * Please provide a work sample (e.g., a Tableau dashboard, static report, or data visualization portfolio) that demonstrates your ability to transform complex data into clear, compelling insights for a non-technical audience. We’re particularly interested in your ability to not only conduct analysis but also communicate findings through visual narratives. If your materials are web-hosted, please ensure that the URL you provide directs to a public facing platform that can be accessed without login credentials. If your work sample contains confidential information, please blur the data and submit it as a PDF. We prioritize evaluating your design, layout, and conceptual approach over the underlying figures.

    (Open Ended Question)

Applicant Documents
Required Documents

1. Resume
2. Cover Letter
3. Professional References
4. Work Sample

Optional Documents

PI280045700