Analista de Impacto Social Remoto – Monterrey

Placements24; Monterrey; Hybrid; MXN 276,000 - 441,000; Full time

Benefits offered by this job

Competitive hourly rate

Flexible working hours

Remote-friendly role

Impactful projects remotely

Job summary

Placements24 is seeking a Social Impact Analyst to join its team, focusing on Monterrey-based initiatives while supporting operations remotely. You will design evaluation frameworks, collect data, run analyses, and translate findings into actionable insights for program partners.

The ideal candidate has a strong background in data analysis and program evaluation, with hands-on experience using SPSS, R, or Stata, and familiarity with surveys.

Qualifications

• Bachelor’s degree in a social science or analytical field is required.
• Master’s degree is a plus.
• Minimum of 3 years of data analysis, program evaluation, or social impact assessment.

Responsibilities

• Design and implement evaluation frameworks for various social programs.
• Collect, clean, and analyze quantitative and qualitative data from diverse sources.
• Develop KPIs to measure program effectiveness and impact.
• Prepare reports and presentations for stakeholders with clear findings and recommendations.
• Collaborate with program teams to align data collection with goals.
• Identify best practices in social impact measurement and evaluation.
• Support data collection tools, surveys, and interview guides.

Skills

Data analysis

Program evaluation

Statistical analysis

Qualitative analysis

Report writing

Communication

Education

Bachelor’s degree in Social Sciences, Statistics, Economics, Public Policy, or related analytical field

Master’s degree (a plus)

Tools

SPSS

R

Stata

SurveyMonkey

Qualtrics

Job description

Placements24 is seeking a Social Impact Analyst to join its team, focusing on Monterrey-based initiatives while supporting operations remotely. You will design evaluation frameworks, collect data, run analyses, and translate findings into actionable insights for program partners.

The ideal candidate has a strong background in data analysis and program evaluation, with hands-on experience using SPSS, R, or Stata, and familiarity with surveys.