Research Analyst

$55,000 - $65,000/Yr

Research For Action - Philadelphia, PA

Full-time - Mid Level

Onsite - Philadelphia, PA

Professional, Scientific, and Technical Services

About the position

The Research Analyst at Research For Action (RFA) plays a vital role in executing and supporting various research projects, focusing on quantitative and mixed-methods education research. This position involves data collection, management, analysis, and project management, with opportunities for mentorship and skill development in research methodologies. The role is remote-first but requires the candidate to be within commuting distance to Philadelphia for in-person responsibilities.

Responsibilities

• Conduct basic-to-moderately complex data collection, preparation, management, and analysis tasks for mixed methods research studies.
• Synthesize findings and produce visuals in R, Stata, Excel, and Canva, generating internal analytic memos with coherent results.
• Support the application of culturally responsive and community-informed research approaches.
• Stay informed about emerging research, methodologies, theories, and current events related to racial equity and social justice in education.
• Manage own plate of work across projects and support project activities utilizing project management software.
• Supervise an intern, providing mentoring, coaching, and support.
• Participate in and demonstrate investment in the success of RFA research, community engagement, and intra-organizational activities.

Requirements

• 1-3 years of research experience in applied research settings, including in-person and virtual data collection and analysis.
• Demonstrated passion for equitable education and interest in growing mixed methods applied education research skills.
• Dedication to RFA's mission and understanding of core concepts related to racial equity and social justice.
• Ability to conduct basic to moderately complex quantitative dataset cleaning and statistical analysis with moderate independence.
• Experience with statistical software packages such as Stata, SPSS, SAS, or R.
• Experience with programming languages like Python or JavaScript and programming surveys in Qualtrics.

Nice-to-haves

• Experience with critical race approaches to quantitative research (e.g., QuantCrit).
• Experience with qualitative data collection, transcription, coding, and analysis.
• Experience with qualitative software packages (e.g., Dedoose, NVivo).

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Retirement plan
• Generous paid holidays and time off program