Senior Data and Research Analyst
Listed on 2026-01-02
-
Business
Data Analyst, Data Scientist
Position Announcement
Proposed
Start Date:
12/16/2025
Classification
Title:
Academic Services
Rank: N - No Rank
Working Title:
Senior Data and Research Analyst
Department: 200205 - OSS Office of Student Success
Position Number: D91162
Representation: AU - AAUP
Renewable:
Renewable
Position FTE: 1.0
Tenure Status: N - not applicable
Position SummaryThe 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.
The 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 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.
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 primary responsibility will be developing and maintaining Tableau dashboards used by faculty and staff across campus to explore and track key performance indicators and student success metrics. This position 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.
- Proficiency in data visualization and visual storytelling using Tableau (including dashboard design, data prep, and interactive reporting) and other tools such as Flourish.
- 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.
- 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.
- A Master’s degree and at least 5 years of progressively responsible work experience in reporting and data analysis.
- 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.
Monday through Friday, 8 a.m. to 5 p.m.
Total Compensation Range & Benefits StatementSalary is…
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