New

Data Analyst

Full-time

Remote

Deadline

April 18, 2026

About the organization

GroundZero

Ground Zero

Organization type

Private Sector

In A Nutshell

Location

Remote New Delhi, Delhi, India

Salary

₹8,40,000-₹24,00,000

Job Type

Full-time

Experience Level

Mid-level

Deadline to apply

April 18, 2026

Responsibilities include keeping the 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.

Responsibilities

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.

Skillset

  • 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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