Senior Data Analyst

Posted:
9/26/2024, 3:58:04 AM

Location(s):
Vaassen, Gelderland, Netherlands ⋅ Gelderland, Netherlands

Experience Level(s):
Senior

Field(s):
Data & Analytics

Workplace Type:
Remote

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.