- You will be a member of our core research team of five recruitment and admissions staff members actively working to innovate our approach to selecting corps members.
- You will be responsible for complex research, model building, and analysis of admissions innovations. This includes constructing rigorous quantitative and qualitative research and analysis methods.
- The ideal candidate will possess analytical, quantitative, and communication skills. You are able to demonstrate the ability to set vision, see the big picture through the noise, and view challenges through multiple lenses.
- Your role on the research team will include large-scale reporting, so the ideal candidate is able to convey complex information and recommendations in a clear, concrete manner to a variety of audiences.
- You will be passionate for ensuring all aspects of research and evaluation are approached through a lens of equity and will work to identify and eliminate bias.
- Given our commitment to diversifying the corps and ensuring an equitable and inclusive admissions process, you will lead your work through the lens of diversity, equity, and inclusiveness.
Areas of Responsibility:
The Managing Director, Research and Evaluation will be responsible for:
Quantitative Research
- Develop a quantitative model and section bars based on a complex and wide array of research to ensure that the vision of this work is translated into the optimal model.
- In partnership with the admissions team, conduct post-deadline analysis reports that allow a verity of audiences to understand how each admissions deadline played out. Ideally these reports would be automated though a python or java script.
- Act as the lead analyst for Teach for America’s selection model; specifically setting expectations and structure and guidance for research methods, analytics, analysis, and insight.
Model Building
- Partner with the SMD of admissions operations to use past data to develop an optimal transitional grants and loans model, create a strategy, and assist with its execution.
- Set vision and forecast opportunities to use data mining to better understand post-submission recruitment actions and create algorithmic tools and testing to enhance recruiter performance.
- Develop models and conduct analyses to predict recruitment and admission outcomes in partnership with the SMD, Recruitment and Admissions Strategy and colleagues from across the program continuum.
Relationship Building
- Develop relationships with partners in regions, executive directors, recruitment and admissions team leadership, and organization senior leadership. Leverage these relationships to develop a first day of school report and communication cascade alongside it. In addition, conduct regular synthesis and analysis on trends affecting our first day of school projections.
- Build a complex set of relationships from the recruitment team, admissions team, and program team to identify cross cutting research opportunities to increase the overall size of the corps and the overall effectiveness.
Educational Background:
Bachelor’s degree required. Master’s degree strongly preferred
Skills/Experience:
- Five to seven years of experience.
- Prior experience in consulting preferred.
- Knowledge of statistical modeling, including python(or equivalent language) strongly preferred
- TFA staff experience preferred
- Experience in recruitment/admissions preferred
Work Demands
- Ability to travel to in-person meetings in various U.S. cities, on average, once monthly.
- Evening and weekend work required during busy seasons and at tight deadlines.
Skills
- Exemplifies Teach For America’s core values and values working with a diverse set of teammates and stakeholders.
- Strong ability to manage multiple projects: Meet deadlines and keep a close eye on details.
- Strong ability to build relationships: Understand the perspectives of others and provide exceptional consulting support.
- Strong analytical skills: Ability to define the problem/opportunity, design the appropriate research method, conduct analysis, develop concrete recommendations that account for the end user’s perspective, determine the implications of results for future work.
- Strong communication skills: Convey complex information in a clear manner both in writing and verbally.
- Statistical analysis skills, including the use of Stata or similar programs, required.
- Knowledge of advanced programming languages (e.g. Stata, R, Java) strongly preferred
Job Function:
Organization Info
Listing Stats
Post Date:
May 5 2018
Active Until:
Jun 5 2018
Hiring Organization:
Teach For America
industry:
Nonprofit