Remote Social Impact Analyst: Data-Driven Change

Placements24; Gqeberha; Hybrid; ZAR 350,000 - 600,000; Full time

Benefits offered by this job

Health insurance

Professional development budget

Remote work flexibility

Impactful work

Job summary

Placements24 is seeking a Social Impact Analyst to join a remote team. You will measure and report on the effectiveness of programs, gathering and interpreting data to offer actionable insights for strategic decisions. This role emphasizes quantifying social impact in the non-profit sector from any location.

The ideal candidate has strong data analysis skills, experience with Excel, SPSS, R, Python, and data visualization tools, plus excellent report writing abilities.

Qualifications

• Proven experience in data analysis, research, or impact evaluation in non-profit settings.
• Strong quantitative and qualitative analytical skills.
• Proficiency with Excel, SPSS, R, Python, and data visualization tools.
• Excellent report writing and presentation skills.

Responsibilities

• Design and implement frameworks for measuring social impact and program outcomes.
• Collect, clean, and analyze data from multiple sources.
• Develop reports, dashboards, and presentations on program impact.
• Provide data-driven recommendations for program improvement and strategic planning.
• Collaborate with program managers to align data collection with reporting needs.
• Stay abreast of best practices and emerging trends in social impact measurement.

Skills

Data analysis

Research skills

Quantitative analysis

Data visualization

Report writing

Python

R

SPSS

Tableau

Education

Bachelor's degree in social sciences

Master's degree in statistics or public policy

Tools

Excel

SPSS

R

Python

Tableau

Job description

Placements24 is seeking a Social Impact Analyst to join a remote team. You will measure and report on the effectiveness of programs, gathering and interpreting data to offer actionable insights for strategic decisions. This role emphasizes quantifying social impact in the non-profit sector from any location.

The ideal candidate has strong data analysis skills, experience with Excel, SPSS, R, Python, and data visualization tools, plus excellent report writing abilities.