Data Management Administrator

NielsenIQ · Mumbai, MH, India

  • Junior
  • Full-time
  • Posted 2026-09-22
  • Confirmed live on 25 September 2026

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Job description

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 -

• 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.

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

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

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

• Good awareness of e-commerce and FMCG industry

• Interest in data, systems and digital products

• Comfort working with detailed data, rules, or structured information

• A career history that demonstrates the attributes below

Qualifications
Attributes competencies

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

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

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

• Manages time effectively to meet deadlines and commitments.

• Proactively raises questions to clarify requirements and avoid issues.

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

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

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

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

• Communicates clearly and professionally in spoken and written English.

Selling points

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

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

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

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

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

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

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

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

Other

• 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

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

• Occasionally you will be required to travel internationally

Additional Information
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,

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