Philanthropy Data & Research Analyst

The Center for Effective Philanthropy

Cambridge (MA)

On-site

USD 70,000 - 95,000

Full time

14 days+
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Benefits offered by this job

Health and dental insurance
Paid time off
401(k) match
Professional development allowance
FSAs & dependent care

Job summary

The Center for Effective Philanthropy (CEP) is seeking a motivated Analyst in Cambridge, MA to design methodologically sound studies and perform rigorous quantitative and qualitative analyses. You will partner with CEP staff to deliver data-driven insights for executive audiences and boards.

The role emphasizes survey design, data collection from foundations and nonprofits, and clear reporting of findings. Strong communication, integrity, and attention to detail are essential.

Qualifications

  • Bachelor's degree (B.S./B.A.) or master's degree desired.
  • Demonstrated proficiency in statistical analysis (T-Tests, ANOVA, Chi-Square).
  • Ability to conduct quantitative analyses and synthesize findings into recommendations.
  • Experience with survey design a plus.

Responsibilities

  • Contribute seminal research to the philanthropic sector.
  • Perform rigorous quantitative and qualitative analyses on data from foundations, grantees, and stakeholders.
  • Synthesize findings into clear, compelling reports for executives and boards.
  • Design survey questions and manage survey fielding processes.

Skills

Statistical analysis
Quantitative reasoning
Survey design
Attention to detail

Education

Bachelor's or Master's degree

Tools

SPSS
SAS
STATA
R
Excel
PowerPoint

Job description

The Center for Effective Philanthropy (CEP) is seeking a motivated Analyst in Cambridge, MA to design methodologically sound studies and perform rigorous quantitative and qualitative analyses. You will partner with CEP staff to deliver data-driven insights for executive audiences and boards.

The role emphasizes survey design, data collection from foundations and nonprofits, and clear reporting of findings. Strong communication, integrity, and attention to detail are essential.

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