Lead- Market Data Intelligence and Engineering

Location: Bengaluru

About Opptra

Opptra is a digital-first omnichannel distributor helping global brands enter and scale across
Asia’s fastest-growing consumer markets — India, Southeast Asia, and the GCC. Founded by
Binny Bansal (co-founder of Flipkart), Opptra operates on a stock-and-sell model, purchasing
inventory upfront and running end-to-end operations from market entry strategy through to
post-purchase experience. With 28 global brands, 18 warehouses, and presence across 15+
marketplaces, Opptra is building the operating system for brand expansion in Asia.

The Role
We are looking for a hands-on, data-obsessed leader to build and own Opptra’s external data
intelligence layer — the crawling, collection, structuring, and delivery of market, competitor, and
category data that powers critical business decisions across the company. This data, combined
with Opptra’s internal operational data, will feed into analytics and decision systems used by
multiple teams across platforms and geographies.

This is not a reporting role. You will architect and build the data pipelines, crawlers, and
real-time feeds that become a core competitive advantage for Opptra — enabling everything
from what to buy and how to price it, to which brands to onboard in which country.

What You’ll Own
1. External Data Collection & Crawling Infrastructure
Design, build, and maintain scalable crawling systems to collect structured data from
marketplaces, competitor sites, and public data sources across India, SEA, and GCC.
Data to be collected includes (but is not limited to):
Product listings, pricing, promotions, and discounts across platforms
Category rankings, bestseller lists, search result positions
Competitor assortment, new launches, and catalogue changes
Customer ratings, reviews, and sentiment signals
Ad placement data, sponsored product visibility, and share-of-voice metrics
Brand presence and market penetration signals by country
Handle anti-scraping mechanisms, rate-limiting, geo-restrictions, and platform-specific nuances across 15+ marketplace environments.
Build real-time and near-real-time data feeds where speed of insight matters (e.g., competitor price changes, flash sale monitoring, ad bid landscapes).

2. Data Structuring, Quality & Enrichment
Normalize and structure heterogeneous data from diverse platforms into a unified,
queryable data layer that different teams can consume reliably.
Build entity resolution and matching systems to map products, brands, and categories
consistently across marketplaces and regions.
Implement data quality monitoring, anomaly detection, and freshness tracking to ensure
data reliability for downstream decision-making.
Enrich external data with taxonomy, categorization, and metadata tagging relevant to
Opptra’s category focus (consumer electronics, home & kitchen, babycare, FMCG, etc.).

3. Decision Support Across Business Functions
The data you collect and organize will directly power decisions across:
Performance Marketing Competitor ad spend signals, keyword opportunity mapping, category share-of-voice, price position relative to competition — feeding real-time bidding and budget allocation decisions.
Pricing & Promotions Competitive price monitoring, discount depth analysis, marketplace fee structures, and margin-optimal price recommendations across platforms and regions.
Buying & Inventory Demand signals from search trends, bestseller velocity, seasonal patterns, and category growth indicators to inform what to buy, how much, and when Brand Onboarding Market attractiveness scoring by country and category, whitespace identification, competitive landscape assessment, and brand-market fit analysis to guide which brands to pursue and where.
Category Intelligence Category size estimation, growth trajectories, consumer preference shifts, and regulatory landscape changes across target markets.

4. Integration with Internal Data & Analytics
Work closely with internal data engineering and analytics teams to combine external
intelligence with Opptra’s operational data (sales, inventory, logistics, marketing
performance).
Build unified data products and dashboards that give platform teams, country heads, and
category managers a single view…