NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge.
Job Purpose
This role covers activities performed after inputs are received from source retailers and vendors. It involves close collaboration with Suppliers, eData Analysts, and Project Managers to strengthen relationships with Providers and Retail Vendors, with the objective of improving data quality and service-level agreements (SLAs).
Key areas of responsibility include managing system changes and surveys, resolving BAU queries, tracking and closing tickets, KPI reporting, driving productivity initiatives, and conducting root cause analyses (RCAs). In addition, the team is responsible for analyzing, classifying, and managing data.
The role is also accountable for handling data queries arising from BAU quality checks, including RAP and DQI scoring.
Job Responsibilities
Retailer Onboarding and Engagement:
• Collaborate on retailer onboarding, acting as the point of contact between suppliers and Nielsen.
• 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 tickets.
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.
Role Requirements/Skills
Qualifications - Technical:
• 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.
Qualifications - Skills:
• 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.
Fluent in English; Nordic language skills (Swedish, Danish, Norwegian, or Finnish) are required to support market-specific activities
• Strong analytical and problem-solving skills.
• 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 (Desirable)
• 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 (Desirable)
• 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.
• Strong knowledge of Microsoft Office Suite (Excel, Word, Access, Outlook, PowerPoint).
• Understanding of factory processes.