Role Overview

We are looking for an experienced professional with strong operational and technical expertise in CIP processes (Global GRFE, SIRVAL, GSRS) within NielsenIQ’s production workplace. This role involves managing retailer/vendor data acquisition, validation, and problem-solving to ensure clean, accurate data for client insights. You will collaborate with partners such as Retail Services, Retailers, Data Science, Output Teams, and Enablement to deliver high-quality results.

Key Responsibilities
- Resolve technical challenges and ensure team adoption of new tool enhancements.
- Communicate effectively with stakeholders and manage RCA (Root Cause Analysis).
- Provide clear project updates and handle client queries efficiently.
- Define, monitor, and document processes; keep records updated and track exceptions.
- Identify automation opportunities and implement solutions using R, Python, or Excel Macros; explore advanced techniques like ML/AI.
- Ensure high-quality data setup for multiple markets and address client concerns.




- Execute input operations and related project work across end-to-end data processing.
- Investigate data issues with local/regional teams and ensure timely, accurate delivery.
- Collaborate with Retailers, StatOps, Data Science, and Output Teams to improve data quality.
- Provide technical and process expertise for CIP deployment and assist remote teams.
- Prepare and track KPIs for on-time delivery and data accuracy.
- Operate in a virtual, multicultural environment and maintain strong stakeholder engagement.

Qualifications
- Exposure to SQL/Python, ML/AI, and large datasets.:
- Bachelor’s degree (Mathematics, Statistics, Economics, Commerce, BBA).:
- 5-8 years of experience in NielsenIQ proprietary software and Ops processes.
- Strong problem-solving and data analysis skills.
- Excellent communication and presentation skills in English.
- Ability to train and explain technical concepts to diverse stakeholders.
- Process-driven mind

📌 Expert - Input Validation (Iv) (Vadodara)
🏢 Nielseniq
📍 Vadodara