Reporting to the Managing Director of iMentor’s Organizational Learning and Impact (OLI) team,
the Senior Data Analyst will support the research and analytics work of the team. The OLI team
is primarily responsible for helping iMentor evaluate and learn from our program models,
ensuring a thorough understanding of the impact of our programs and partnerships. The Senior
Data Analyst will play a vital role in advancing the team’s research and analytics initiatives.
In particular, they will be responsible for (a) wrangling data from back-end systems such as
iMentor’s proprietary platform (programmed in MongoDB), iMentor’s data warehouse,
Qualtrics (surveys), Mainstay (texting platform), and third party data sources such as college
enrollment records; (b) joining, cleaning, and analyzing data; (c) preparing reports and
interactive dashboards; and (d) responding to numerous requests from other departments for
data and data support; and (e) maintaining documentation.
An example of research support is preparing a Long-Term Outcomes dashboard that combines
data from multiple sources about each student to create a composite view of how students are
progressing towards iMentor’s intended outcomes. This tool allows internal stakeholders to
segment results by students’ demographic characteristics as well as by elements related to the
iMentor experience, e.g., length of match. The Senior Data Analyst would also be responsible
for quality assurance processes, supporting use of the dashboard, and responding to helpdesk
tickets about the data in this dashboard.
An example of analytics support is conducting analyses of iMentor’s social and emotional
outcome metrics (such as sense of belonging, self-concept, and strength of pair relationship) in
order to confirm their validity and reliability, identify areas needing improvement in
measurement, determine how they are impacted by specific types of program participation, and
suggest ways to augment current measurements with ongoing, in-real-time assessments.
This is an exciting opportunity for anyone looking to apply their research and analytic skills to
help solve interesting, impactful, real-world problems and to help young people achieve
their potential through mentoring.
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Qualifications- Bachelor’s degree (including coursework in statistics or data analytics) in education (with a focus on higher education), sociology, psychology, cognitive sciences, or data science.
- Master’s enrollment or degree in an analytics or applied research field a plus.
- 3+ years of data analytics and research experience within an education, social science or public sector context, or a Master’s degree with 1-2 years of such data analytics and research experience.
- Expert proficiency with both Excel and R (SPSS is a bonus), including use of syntax and multivariate statistics.
- Proficiency with SQL and knowledge of relational databases. A bonus for knowledge of non-relational document databases such as MongoDB.
- Considerable experience creating, cleaning, merging, managing, and analyzing large related (but not necessarily connected) data sets.
- Experience with creating interactive data visualization to report findings.
- Experience with the Qualtrics survey platform or other survey platforms.
- Strong attention to detail.
- Collaborative mindset and strong communication skills (written and verbal) - customer service skills a plus.
- Curiosity, initiative, and creative reasoning – including strong motivation to engage in self-directed learning to solve problems.
Compensation and Benefits- Salary $75,000 - $85,000 annually, commensurate with experience
- Up to 100% employer funded comprehensive medical and dental coverage
- 18 days paid annual vacation (increasing annually to 21, 23, 25), 13 paid holidays + your birthday + one floating holiday, iMentor closed between Christmas and New Year’s Day, plus 6-7 sick days annually
- 401K match up to 4%
- Fully remote with the option to come into the office if in NYC, Chicago, or Baltimore
- Pre-tax commuter benefits
- Dependent care and health care flexible spending plans
- 1 hour of wellness time off per week for wellness activities of your choosing
- Flexible personnel wellness budget for reimbursements or marketplace purchases
- Every staff member is eligible for organization-sponsored professional development annually
- 9 weeks of paid parental leave
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