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Data Analyst, Delhi/Remote

Roles & Responsibilities

  • Masters or PhD in Economics
  • 8-12 years of experience in data analytics
  • Proficiency with Python; comfortable with Stata, SQL, and Git
  • Experience with Indian government or administrative datasets; background in data journalism, computational social science, or public policy data work is a strong fit

Requirements:

  • Build and maintain end-to-end data pipelines that pull, clean, and process government datasets into YouthPOWER indicators; update the platform with new data releases (PLFS, Census, ASI, ASUSE, and others)
  • Ensure data quality end-to-end with auditable, reproducible outputs and clean audit trails
  • Develop and maintain code within a database-backed system (Supabase/PostgreSQL); write and maintain scripts in Python and Stata; keep code version-controlled on GitHub
  • Create charts, maps, and visual explainers; translate complex indicator outputs into formats accessible to policymakers, journalists, and citizens

Job description

Role: Data Analyst, Delhi/Remote
Education: Masters or PhD in Economics
Experience: 8-12 years
Salary: 12-24 LPA
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The Role

We tracks youth opportunity across every district in India. We need someone who can keep that platform accurate, current, and useful — building the pipelines that bring in new data, maintaining the systems that power it, and making the outputs legible to people who don't read spreadsheets.

This is end-to-end ownership. You build it, you maintain it, you improve it.

What You'll Do

Data & Pipelines

  • You will be managing, making sense from the larger data set from govt and many other spaces
  • Build and maintain pipelines that pull, clean, and process government datasets into YouthPOWER indicators
  • Update the platform as new data releases come in — PLFS, Census, ASI, ASUSE and others
  • Identify new datasets worth integrating and make the case for including them
  • Ensure every number is traceable — clean audit trails, reproducible outputs, no black boxes

Systems & Code

  • Work within a database-backed system (Supabase/PostgreSQL)
  • Write and maintain scripts in Python and Stata
  • Keep code organised and version-controlled on GitHub
  • Own data quality end-to-end — catch errors before they go public

Visual Communication

  • Build charts, maps, and visual explainers that make district-level patterns readable
  • Translate complex indicator outputs into formats that work for policymakers, journalists, and citizens
  • Think about who is reading this — not just whether the data is correct

Who You Are

  • You've worked with messy, real-world data — ideally Indian government or administrative datasets
  • You write clean Python; you're comfortable with Stata, SQL, and Git
  • You have a visual instinct — you know when a chart is doing its job and when it isn't
  • You're self-directed — you don't need someone to tell you the pipeline broke, you already know
  • Background in data journalism, computational social science, or public policy data work is a strong fit
  • Economics or policy background helpful but not required — quantitative rigour and curiosity about India matters more

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Hiring Note: Applications will be reviewed on a rolling basis. This job is first posted on March 20, 2026, on Ground Zero

For any questions, ping us on WhatsApp chat: +91-8058331557

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