Position Title: eData Governance Reports to: Regional EDD --->.

Regional Input Ops Business Unit: Data Operations Location: Gurgaon 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 effecient 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.

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

Flexibility to work according to local time zones and follow country holidays for supported countries

Strong technical knowledge and business interpretation of data

General systems understanding from an ETL point of view

Fluent in English; local market language skills (if required by markets)

Skillset Required 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)

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📌 Principal Data Operations Analyst (Gurugram)
🏢 Nielseniq
📍 Gurugram