Hybrid Social Impact Analyst — Data Insights for Change

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

Benefits offered by this job

Competitive salary

Hybrid work model

Health benefits

Retirement benefits

Professional development

Analytics tools

Job summary

Placements24 is seeking a detail-oriented Social Impact Analyst to join their Sandton team, contributing to measurable social and economic outcomes. This hybrid role combines data collection, analysis, and reporting to guide strategy and improve program results.

Candidates should have 3+ years in data analysis, familiarity with SPSS/R/Python, and strong ability to communicate complex data to non-technical stakeholders.

Qualifications

• Bachelor's or Master's degree in Economics, Statistics, Social Sciences, or a related analytical field.
• Minimum of 3 years of experience in data analysis, research, or impact assessment.
• Proficiency in statistical analysis software (SPSS, R, Python) and data visualization tools.

Responsibilities

• Design and implement frameworks for measuring social impact and program effectiveness.
• Collect, analyze, and interpret quantitative and qualitative data from various sources.
• Develop reports and presentations summarizing key findings, insights, and recommendations.
• Monitor trends and assess the impact of initiatives on target communities.
• Collaborate with program teams to integrate impact measurement into project design and implementation.
• Stay abreast of best practices and emerging trends in social impact measurement.

Skills

Data analysis

Statistical methods

Python

R

Data visualization

Communication skills

Education

Bachelor's or Master's degree in Economics, Statistics, Social Sciences, or related analytical field

Tools

SPSS

R

Python

Job description

Placements24 is seeking a detail-oriented Social Impact Analyst to join their Sandton team, contributing to measurable social and economic outcomes. This hybrid role combines data collection, analysis, and reporting to guide strategy and improve program results.

Candidates should have 3+ years in data analysis, familiarity with SPSS/R/Python, and strong ability to communicate complex data to non-technical stakeholders.