Tier-1 India (Bangalore, Hyderabad, Chennai, Pune, Mumbai, Delhi NCR) · Remote-friendly · Contractor · Reports to the CTO
About the client
Our client is a Singapore-headquartered, AI-native product carbon footprint and ESG intelligence platform serving automotive OEMs and their tier 1, 2 and 3 suppliers, with engineering operations in India. Their current build gives suppliers an automated, screening-grade carbon footprint through public-data ingestion, AI-powered gap-filling and a confidence-tiered pipeline, with no analyst in the loop.
About the role
The Data Analyst is the primary resource who marshals the documentation that builds the platform's reference data layer. The platform produces a credible screening-grade carbon footprint by ontological equivalence: estimating a supplier's missing data from comparable suppliers matched on material, process and country. That only works once a reference base of roughly 1,500 suppliers populates the equivalence space. Building that base is what makes meaningful output possible for any customer,
so this role is foundational and sits on the critical path.
At launch the platform serves EU OEMs and their tier-1 suppliers, whose supplier base is global. The reference base you build is therefore global and multi-language, not India-only.
You will not do this alone or by hand. You work AI-first, using Claude to extract, translate and structure across languages, running on the pipeline the AI/ML Platform Engineer builds. The base is built coverage-first: EU and India, the high-yield and high-relevance regions, come first for launch, then China, Southeast Asia and the Americas as expansion. You run the ingestion. You do not build it.
Source and marshal the documentation, globally
Global sources: EU company registers and CSRD-cascade disclosures, national registries, OEM and tier-1 supplier portals, Indian filings (BRSR, MCA), Japanese and Korean filings, industry associations such as CLEPA, VDA, ACMA and SIAM, and global databa
📌 Data Analyst (India)
🏢 Colleve
📍 India