Job Description
Job Title: eData Delivery – Senior Analyst
Grade Level: B3
Reports to: Regional EDD --->. Regional Input Ops
Business Unit: Data Operations
Vision of the Role: Backend, Ops Bridge, Technical
High Level Tasks:
- Securing BAU
- Data Analysis and Testing
- MSDs
- Data Assessments
- DQI Execution
- Bridge Ops and Suppliers
Job Purpose
This role covers the activities post inputs are received from the source - retailers/vendors. Primary focus is to be the bridge between the Supplier Engagement team and other Ops pillars. System change surveys, BAU query resolution, MSD tickets tracking and closure, KPIs reporting, productivity initiatives, RCAs are the key areas of work for this team.
Apart from this, the team is also responsible to analyze, classify and management of the data.
This role is accountable for BAU activities related to data, including data reminders, data receipt from retailers, and handling data queries arising from quality checks (RAP & DQI scoring).
Scope of Work:
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.
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.
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.
Skillset Required
- Master's Degree or technical institute degree/certificate in statistics or data analytics, or equivalent work experience.
- 2+ 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.
- Strong 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.
Success Measures
- Number and speed of resolving MSD tickets/BAU inqueries and closed / answered
- Operational Stability - Timely escalations, Risk flagging and Mitigation (Implementation Delays)
Additional Information
Our Benefits
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)
About NIQ
NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.
For more information, visit NIQ.com
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Our commitment to Diversity, Equity, and Inclusion
NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion
