eData Governance

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 receipts. 
  • 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) 
• 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. 

Quality Assurance:

• Conduct quality checks, including eDive primary testing of data, and RAP scoring, eDive.
• Address data queries arising from quality checks.

Opportunity Identification:

• Identify new operational efficient opportunities within existing retailers.
• Ops teams (NOC), and DA Analysts to realize these opportunities, consulting closely with the commercial or RV team as applicable.