Data Analyst

What We Are Building

We’re building a practical, data-driven platform to simplify offline retail.

The focus is on understanding real consumer behaviour, identifying unmet needs in local markets, and enabling neighbourhood retailers to serve those needs more efficiently.

It’s early-stage, research-heavy, and built on fundamentals- demand patterns, category depth, and operational feasibility. If you enjoy working with structured data to uncover how people shop and what offline retail truly needs, this is the right place to contribute.

Role Overview

This role is primarily about data sourcing, not heavy analytics.

Identify and collect datasets related to :

Consumer purchase behaviour

Quick commerce / FMCG trends

Category-wise demand patterns

Retailer digitisation and supply gaps

City-level consumption insights

Validate dataset relevance (recency, reliability, demographic fit)

Extract and clean data from reports, PDFs, public portals, ONDC dashboards

Organise information into simple, usable formats (Excel / Sheets)

Build a structured dataset library for ongoing decision-making

Skills

Experience with consumer behaviour data

(purchase triggers, frequency, urgency patterns)

Experience with quick commerce or FMCG analytics

(category depth, repeat rates, SKU movement, price elasticity)

Strong internet research & data-sourcing ability

(finding high-quality datasets from public, private, and paid sources)

Curiosity, attention to detail, and comfort navigating large reports & dashboards

If you’re someone with high energy and a genuine obsession for building things from the ground up, you’ll feel right at home with us.