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Peepul
Delhi, India
Nature of employment: 2 Months Contract
Reporting to:
Location: Delhi
About Peepul
Peepul is an education-focused non-profit organization committed to transforming India's education system and enabling every child to reach their full potential. We work closely with national, state, and local governments to transform government schools and government systems. Currently, we work with governments in Delhi and Madhya Pradesh to meaningfully have an impact across ~325,000 teachers and 9.75 million+ students across 100,000+ schools.
At Peepul, we collaborate with school systems to build the capacity of leaders, teachers, and institutions. We advocate for policy improvements, support mentoring and monitoring, and enhance student-teacher engagement in classrooms. Our work has been recognized internationally, including receiving the Commonwealth Education Awards for Innovation and being featured in reports by respected organisations like the UN and the National Ministry of Education, India, and we are well-funded by both Indian CSR and prominent international Foundations working toward a common purpose of excellent education for the most disadvantaged sections of society.
Driven by our core values of impact, excellence, and leadership, we are a restless, resilient, and reflective organizations. Our team of 200+ employees is passionate about creating lasting change and is rewarded competitively for their dedication. Join us in our mission to create a world where every child has equal access to high-quality education. Learn more about our transformative work at http://peepulindia.org.
About the role
The Data Consultant will support the analysis, management, visualization, and documentation of education-related datasets for initiatives implemented in partnership with the Municipal Corporation of Delhi (MCD). The role requires a structured, process-oriented professional who can independently clean and analyze data, develop dashboards, and produce clear documentation that enables both effective decision-making and long-term institutional knowledge retention — critical given the two-month engagement window.
Data Management and Cleaning
Clean, validate, and organize large datasets related to student learning outcomes, assessments, and program implementation.
Ensure data accuracy, consistency, and completeness across multiple source systems.
Maintain clear documentation of data sources, field definitions, assumptions, and transformations applied.
Data Analysis
Perform quantitative analysis to identify trends, gaps, and actionable insights in education data.
Support analysis of FLN assessments, attendance records, and program performance metrics.
Document methodologies, analytical approaches, and interpretation notes for all analyses.
Dashboarding and Visualization
Develop interactive dashboards using Power BI or Tableau for government and internal stakeholders.
Design intuitive visualizations that simplify complex data for non-technical audiences.
Maintain accompanying dashboard documentation covering data sources, logic, and indicator definitions.
Reporting, Documentation, and Knowledge Management
Prepare structured MIS reports, analytical briefs, and insight summaries on a periodic basis.
Develop and maintain data dictionaries, metric definitions, and process notes.
Clearly document assumptions, data limitations, and caveats for all outputs.
Ensure all deliverables are structured for handover, future reference, and scale-up by the program team.
Stakeholder Coordination
Work in close coordination with MCD officials, program managers, and field teams.
Present analytical findings in clear, non-technical language suited to government stakeholders.
Align all reporting formats and documentation with stakeholder and institutional requirements.
Qualifications and Role Requirements:
At Peepul, we seek talented professionals passionate about driving educational transformation and making a positive impact. We are looking for individuals who possess the following qualifications and meet the role requirements:
Educational Background: A relevant educational background in Data Science, Statistics, Economics, Mathematics, Engineering, Public Policy, or a related quantitative field.
Work Experience: Freshers with data presentation ideas. Prior experience with government datasets, social sector programs, or education initiatives is strongly preferred. Demonstrated ability to deliver analytical outputs independently within tight timelines.
Technical Skills:
Documentation and Communication Skills:
Analytical and Problem-Solving Skills
Language Proficiency: English and Hindi
