Role & responsibilities Retailer Onboarding and Engagement: Collaborate with the Supplier Engagement Lead on retailer onboarding. Ensure compliance for received data by working closely with retailers and NielsenIQ teams. Track retailer or vendor data quality and conduct regular reviews with internal stakeholders and retailers. Drive specific quality improvement goals for retailers, including change management related to data receipt. Handle large data sets with exposure to multiple formats and TLog data. Understanding of SAP, transactional data handling, FTP, and MFT setup and maintenance. Ability to extract, transform, load, and clean large data sets from multiple sources. Familiarity with managing, querying, and aggregating large data sets. System Change and Data Corrections: Plan and follow up on operational activities. Address data corrections due to MSD or other data errors through retailer discussions and planning with Ops. Track and resolve MSD tickets. Collaborate with INS team on results of eDive for System change Stakeholder Management & BAU Collaboration and Communication: Act as the internal SPOC for Ops and regional leadership teams. Provide updates on KPIs, market progress on retailer onboarding, BAU KPIs, and productivity initiatives. (internal SPOC for Ops) Send data reminders and manage data receipt from retailers. Communicate with internal and external stakeholders to resolve data issues. Provide timely updates and visibility to stakeholders. contact data providers via email if data has not been received as per SLAs. Communicate with data providers on any discrepancies found in initial data checks, FoVa reports,



shop usability, or other factory processes. Handle new store information and confirmation on store closures. Address new stores and closed store queries. Coordinate with Input Ops and Output for processing reissued data. Send relevant IO communications (internal) regarding new/closed stores, missing retailer data, estimation of retailer data, reissue of retailer data, store name changes, store mapping corrections, retailer expansion, and retailer data changes during BAU. Preferred candidate profile Experience with Python, FoxPro, and Cloud Platforms. Large data handling skills with exposure to multiple formats and TLog data. Understanding of SAP and transactional data handling. FTP and MFT setup and maintenance. Ability to extract, transform, load, and clean large data sets from multiple sources. Familiarity with managing, querying, and aggregating large data sets. Strong analytical and problem-solving skills. Proficient in complex business process modeling and data modeling concepts. Strong knowledge of Microsoft Office Suite (Excel, Word, Access, Outlook, PowerPoint). Extensive knowledge in Retail, specifically in POS and supply chain. Understanding of factory processes. Extensive knowledge in Retail,



specifically in POS and supply chain. Proficiency in developing Unix/Python queries. Qualification Master's Degree or technical institute degree/certificate in statistics or data analytics, or equivalent work experience. 3+ years of relevant professional work experience. Understanding of various data and file formats. Ability to interpret different data structures and mapping. Flexibility to work according to local time zones and follow country holidays for supported countries. Strong technical knowledge and business interpretation of data. Strong analytical and problem-solving skills. Fluent in English; local market language skills (if required by markets). Extensive knowledge in Retail, specifically in POS and supply chain. General systems understanding from an ETL point of view. *Experience with Python, FoxPro, and Cloud Platforms.
* Large data handling skills with exposure to multiple formats and TLog data. Understanding of SAP and transactional data handling. FTP and MFT setup and maintenance. Ability to extract, transform, load, and clean large data sets from multiple sources. Familiarity with managing, querying, and aggregating large data sets. Proficient in complex business process modeling and data modeling concepts. Robust knowledge of Microsoft Office Suite (Excel, Word, Access, Outlook, PowerPoint). Understanding of factory processes. Extensive knowledge in Retail, specifically in POS and supply chain. *Proficiency in developing Unix/Python queries.
* Perks and benefits Flexiable working environment

📌 eData Governance (Vadodara)
🏢 NIELSENIQ INDIA
📍 Vadodara