Lokazen · Bangalore · Full-time
Data Analyst — Location Intelligence
Turn 40,000+ brand outlets, 124 commercial pockets, and real-time footfall signals into decisions that help brands and property owners make smarter choices. You power Lokazen's intelligence layer.
The Opportunity
Intelligence is the product
Lokazen sits on one of Bangalore's largest proprietary datasets — 40,000+ brand outlets, 2,600+ brands, 124 commercial pockets, demographic data, tech park density, residential society mapping, and real-time footfall intelligence. Most of this is still untapped.
As Data Analyst, you are responsible for maintaining, growing, and activating this data layer — building the scoring models, dashboards, and location reports that help our brands pick the right space and our PAMs focus on the right pockets.
Maintain and grow Lokazen's proprietary brand outlet database
Build location scoring models using BFI / PFI logic
Produce live pocket intelligence reports for brands and PAMs
What you'll do
- Query and maintain Lokazen's Supabase data layer — brand outlets, commercial pockets, locality intelligence, demographics
- Build and refine BFI / PFI scoring logic to improve match quality between brands and properties
- Produce weekly pocket intelligence reports — footfall trends, saturation scores, whitespace opportunities
- Integrate external data sources — GeoIQ, MapMyIndia, OpenStreetMap — to enrich existing datasets
- Build dashboards for admin and brand teams using Recharts, Metabase, or similar BI tooling
- Support the Location Intelligence public page with live data pipelines
- Flag data quality issues and build automated validation pipelines to keep the DB clean
Role in depth
What success looks like
You will be measured on data coverage, scoring accuracy, dashboard adoption, and the quality of pocket intelligence that PAMs and brand managers actually use in the field. A great week is one where a PAM sources a property in a pocket you flagged as whitespace two weeks ago.
You should be comfortable with SQL (Postgres/Supabase), have a working understanding of geospatial concepts, and be excited about building the intelligence layer of a fast-growing proptech platform from the ground up.
Python, REST API integration, and BI tool experience are a strong plus. Curiosity about Bangalore's commercial real estate landscape is a non-negotiable.
Apply for this Role
Takes a few minutes. We read every application.