NielsenIQ: eData Governance — Vadodara, GJ, India

About NielsenIQ

NielsenIQ, also known as NIQ, works in consumer intelligence and retail measurement. Its employer material describes using market information, consumer insights and analytics to help businesses understand buying behaviour. Its data operations address the accuracy and completeness of information behind client reports, while analytical services interpret that information. The business connects details about products and retail activity with broader views of markets, giving organisations evidence for understanding demand and making commercial decisions.

The position and its setting

NielsenIQ lists eData Governance in Vadodara, GJ, India, under reference R26_0022769|IN. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Employment type: Full-time
• Employer listing date: 30 September 2026
• Brands: NielsenIQ
• Job Family: Data Input Validation

Responsibilities and work described

• 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, clasify 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)
• Retailer Onboarding and Engagement:
• Collaboration: with the Supplier Engagement Lead on retailer onboarding
• Quality / delivery: compliance for received data by working closely with retailers and NielsenIQ teams
• Tracking: 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
• Plan and follow up on operational activities
• Address data corrections due to MSD or other data errors through retailer discussions and planning with Ops
• Tracking: and resolve MSD tickets
• Collaboration: 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

Essential requirements and candidate background

• Understanding: SAP, transactional data handling, FTP, and MFT setup and maintenance
• Extract, transform, load, and clean large data sets from multiple sources
• Familiarity: managing, querying, and aggregating large data sets
• System Change and Data Corrections:
• Understanding: SAP and transactional data handling
• Proficiency: complex business process modeling and data modeling concepts
• Knowledge: Microsoft Office Suite (Excel, Word, Access, Outlook, PowerPoint)
• Understanding: factory processes
• Proficiency: developing Unix/Python queries
• Experience: Python, FoxPro, and Cloud Platforms
• Large data handling skills with exposure to multiple formats and TLog data
• FTP and MFT setup and maintenance
• Analytical and problem-solving skills
• Extensive knowledge in Retail, specifically in POS and supply chain
• 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: various data and file formats
• Interpret different data structures and mapping
• Flexibility to work according to local time zones and follow country holidays for supported countries
• Technical knowledge and business interpretation of data

Language and communication requirements

• Fluency: English; local market language skills (if required by markets)

Location, schedule and contract conditions

• Work arrangement: On-site
• Advertised location: Vadodara, GJ, India

Benefits mentioned by the employer

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)
• NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows
• These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria
• All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion
• Final hiring decisions are made exclusively by humans
• NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations
• If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative
• For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another eData Governance vacancy is not an offer for reference R26_0022769|IN; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to NielsenIQ

Applications follow the official employer page linked below.

Open the official NielsenIQ posting below and match the title and reference R26_0022769|IN.

Compare your qualifications and experience with the essential conditions for the Vadodara, GJ, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• SAP
• Excel
• PowerPoint
• MS Office
• quality assurance
• maintenance
• compliance
• supply chain
• stakeholder management
• data analysis