About the Role
We are looking for a high-potential Product Information Management (PIM) & AI Data Analyst to help build a scalable, high-quality product data capability for a large distribution business. The role sits at the intersection of product information, data analysis, process design and AI-enabled research.
This is not a data-entry or traditional catalogue administration role. The successful candidate will work with large and imperfect datasets, determine how information should be structured and standardized, identify patterns and exceptions, and build repeatable rules that improve the quality and scalability of product information.
Prior automotive or industry-specific product knowledge is not required. The domain can be taught. We are primarily looking for someone who can think analytically, learn quickly, work confidently with data, and use contemporary AI applications as part of their day-to-day problem solving.

What You Will Do
 Structure, clean, standardize and enrich product information received from multiple internal and external sources.




 Help build and maintain product hierarchies, categories, attributes, naming conventions and data-quality rules.
 Compare datasets from different suppliers or systems and determine where records are equivalent, inconsistent, incomplete or require further investigation.
 Translate unstructured or inconsistent product information into structured, PIM-ready datasets.
 Develop repeatable rules for classification, matching, enrichment and validation rather than relying on one-off manual fixes.
 Create exception-based workflows so human effort is focused on ambiguous or high-value records instead of reviewing every record manually.
 Work with Product, Commercial, E-commerce and Data teams to understand how product information is used and
what data quality is required.
 Document logic, business rules and data standards clearly so that they can be reused and scaled.
AI-Enabled Research & Analysis
A central part of this r

📌 Product Information Management (India)
🏢 Grain Analytics
📍 India