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2021 Editorial Committee
Association at a Glance
Listings Closing Soon
Reporting to the Director of Institutional Research, the Program Assessment Analyst works primarily to support administrative program assessment across MIT, with a special focus on academic areas; diversity, equity, and inclusion (DEI); and Title IX programs. The objectives of this role are to promote a culture of assessment, provide input on the design of assessment activities, develop assessment competencies among administrative staff, connect colleagues with data and resources that can facilitate assessment, and collect and analyze data. The analyst will work closely with the Institute Discrimination & Harassment Response Office (IDHR), the Institute Community & Equity Office (ICEO), Assistant Deans for DEI at MIT’s 6 Schools and Colleges, as well as colleagues in departments, labs, centers, or offices.
The Program Assessment Analyst is a primary source of expertise on assessment and will help colleagues develop assessment plans for programs and initiatives while supporting data-informed activities related to MIT’s mission and the new Strategic Action Plan for Diversity, Equity, and Inclusion (https://deiactionplan.mit.edu).
- Work with colleagues across campus to identify program outcomes/objectives
- Collaboratively identify appropriate measures to evaluate outcomes
- Analyze data and provide expertise and support for campus partners’ data analysis
- Help programs identify actionable improvement plans, based on results, in consultation with subject-matter experts
- Coordinate, plan, and deliver regular workshops on administrative program assessment
- and review
- Coach colleagues by identifying and filling gaps in assessment skills and practices
- Connect programs, departments, labs, centers, and offices with administrative data or existing survey data
- Bachelor’s degree and three years applicable work experience or equivalent education
- Knowledge of assessment best practices, effective survey research, quantitative and qualitative data analysis and interpretation techniques, reporting methods, and human subject research standards
- Highly skilled in data analysis software (such as MaxQDA, ATLAS.ti, SPSS, STATA, SASS, R, or Python) and data visualization tools (such as Tableau)
- Able to interpret large amounts of data, determine what is meaningful
- Excellent communication skills (written and verbal); can interpret, present, and explain data clearly and confidently to different audiences for effective decision-making
- Ability to work independently and self-direct
- Demonstrate adaptability and patience when balancing multiple priorities
- Value the process of iterating with colleagues to produce a final product that meets the needs of all stakeholders
- Enjoy collaborating with colleagues as well as coaching and teaching others.
- Adaptable, positive, approachable, open to feedback
- Ability to treat all people with dignity; value the contributions of others; develop and maintain positive work relationships with colleagues
- A background in, or knowledge of, DEI in higher education or Title IX desired but not required