Data Management Administrator

NielsenIQ; Mumbai; Hybrid; INR 600,000 - 850,000; Full time

Benefits offered by this job

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

Job summary

NielsenIQ is seeking a Data Management Administrator in Mumbai to create, update and test data model and UI configurations across internal and external platforms. You will help deliver data updates to client-facing platforms and ensure quality within project timelines.

Working in the Data Design team, you will collaborate with the Quarterly Release Manager and other stakeholders, with full training provided and a clear path to grow in data, systems and digital products.

Qualifications

• Degree-level graduate or equivalent experience in data, technology or business.
• Basic proficiency with Office tools such as Excel, Word, Outlook, Teams.
• Demonstrates accountability for tasks and deadlines, in a professional environment.
• Good awareness of e-commerce and FMCG industry; interest in data, systems and digital products.

Responsibilities

• Create and update system configurations in line with agreed data model and UI requirements.
• Support a clear and effective handover of requirements by working closely with Data Design and wider delivery teams.
• Apply configuration changes with a high level of accuracy and attention to detail.
• Carry out testing activities to ensure configurations are set up correctly and behave as expected.
• Create and maintain test products and update data to validate configuration outcomes.
• Progressively develop the ability to define test plans and success criteria with guidance and support.
• Proactively raise questions and clarify requirements within the team and with relevant internal stakeholders.
• Communicate progress, risks, blockers, and dependencies to support timely delivery of quarterly releases.
• Contribute to discussions on improving processes and enhancing existing configuration and testing tools.
• Share observations and suggestions to help improve efficiency, quality, and consistency over time.
• Build a strong understanding of internal and external data workflows, data models, and schemas.
• Develop knowledge of validation logic and the role it plays in maintaining data quality across the supply chain.

Skills

Organised and detail‑driven

English communication

Data awareness

Office tools familiarity

Education

Degree-level graduate (data/tech/business)

Tools

Excel

Word

Outlook

Teams

Job description

The Data Management Administrator is responsible for the creation, update and testing of data model and UI configurations across internal and external platforms. The role ensures that data model and configuration updates across our data coding and data management platforms and our client-facing PIM/PXM “Shopper Experience Platform" are delivered predictably, at quality, and within agreed project timelines.

Sitting within the Data Design team, the Data Model Administrator will report to the Product Manager (Data Content), while working closely with the Quarterly Release Manager to effect synchronous data management updates, including new and updated attributes and code lists, validation rules, internal data flows, and UI configurations.

Full training will be provided for this role.

Responsibilities -

1. Create and update system configurations in line with agreed data model and UI requirements.

1. Support a clear and effective handover of requirements by working closely with Data Design and wider delivery teams.

1. Apply configuration changes with a high level of accuracy and attention to detail.

1. Carry out testing activities to ensure configurations are set up correctly and behave as expected.

1. Create and maintain test products and update data to validate configuration outcomes.

1. Progressively develop the ability to define test plans and success criteria with guidance and support.

1. Proactively raise questions and clarify requirements within the team and with relevant internal stakeholders.

1. Communicate progress, risks, blockers, and dependencies to support timely delivery of quarterly releases.

1. Contribute to discussions on improving processes and enhancing existing configuration and testing tools.

1. Share observations and suggestions to help improve efficiency, quality, and consistency over time.

1. Build a strong understanding of internal and external data workflows, data models, and schemas.

1. Develop knowledge of validation logic and the role it plays in maintaining data quality across the supply chain.

1. Degree-level graduate (ideally related to data, technology, business), or equivalent experience

1. Basic proficiency with Office tools such as Excel, Word, Outlook, Teams

1. Demonstrates experience operating in a professional work environment, with accountability for tasks and deadlines

1. Good awareness of e-commerce and FMCG industry

1. Interest in data, systems and digital products

1. Comfort working with detailed data, rules, or structured information

1. A career history that demonstrates the attributes below

Attributes competencies

1. Highly organised and detail‑driven, consistently delivering accurate work.

1. Logical and objective thinker, able to understand and follow complex workflows.

1. Takes ownership of tasks, seeing work through from start to finish.

1. Manages time effectively to meet deadlines and commitments.

1. Proactively raises questions to clarify requirements and avoid issues.

1. Quick to learn, rapidly absorbing new tools, concepts, and processes.

1. Enjoys developing knowledge, particularly in data models and validations.

1. Accountable for delivery, reliably completing work on time and to standard.

1. Collaborates well with others, contributing positively to team outcomes.

1. Communicates clearly and professionally in spoken and written English.

Selling points

1. Full training provided, so you can build confidence in the tools, data model, and ways of working as you go.

1. A strong launchpad into data—ideal for someone starting (or pivoting) into a data-focused career.

1. Driving dependable quarterly releases by ensuring configuration and validation updates land smoothly, on time, and to a high standard.

1. Hands‑on systems experience across data model + UI configuration, plus testing in both internal and client-facing platforms.

1. High ownership, visible outcomes—you’ll take pieces of work end-to-end (config → test → release readiness) and see results land.

1. Cross-functional collaboration with Data Design, delivery stakeholders, and the Quarterly Release Manager—great exposure early on

1. Clear development path: grow from executing tests to shaping test plans/success criteria and build into a subject matter expert.

1. Flexible working options (market dependent), with office/remote/hybrid possibilities.

Other

1. You may be asked to undertake additional duties, which the Company reasonably believes you are capable of carrying out, or for which you will be trained

1. Relevant professional, ethical and health and safety standards apply to this role.

1. Occasionally you will be required to travel internationally

Our Benefits

• 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/

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

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws.We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact.To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion