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Principal Data Operations Analyst, NIQ One Platform

NielsenIQ Gurgoan, India
Full-time On-site work

Publication date: 09/11/2026

The One Platform Principal Operations Analyst Data Output plays a key execution role in the rollout, setup, and validation of client output in the One Platform ecosystem, with a strong focus on eClipse/NRSP and its integration with upstream and downstream platforms for setup and BAU maintenance (e.g., OGRDS, Delivery Management, On Demand, Sirval, Madras and T&D DWH). On the validation part, the focus is on data correctness and client specification correctness across all dimensions. This role is designed for an execution analyst who ensures client setup in One Platform is executed properly and according to the country rollout schedule, validates client output vs. Legacy and vs. defined specs to sign off and handover to commercial teams, and manages additional BAU maintenance activities required in eClipse/NRSP for delivery in Discover according to delivery commitments. Note: The role is at Level 4.

Responsibilities

Support initial setup and configuration activities in eClipse/NRSP as part of One Platform onboarding of clients across countries, using available automation tools and load functionalities; Execute output checks on both data correctness and client specifications using automated comparison tools; Support RCA in case of issues identified during output checks; Execute corrections needed in eClipse/NRSP as an outcome of RCA on identified issues; Perform day-to-day operational monitoring of One Platform processes in BAU; Identify, analyse, and support resolution of operational issues across platform flows; Participate actively in regular platform governance and working sessions; Validate client output vs. Legacy and vs. defined specs to sign off and handover to commercial teams; Manage additional BAU maintenance activities required in eClipse/NRSP for delivery in Discover according to delivery commitments

Requirements

Working knowledge of eClipse/NRSP (configuration, monitoring, BAU flows); Basic understanding of T&D DWH confirmed layer and data flows; Experience working with enterprise data platforms or operational systems; Analytical skills; 4-6 years' experience in operations, execution roles within data-driven or platform-based environments; Hands-on experience supporting system rollout, BAU operations, or platform stabilization; Exposure to multi-country or global operating models is preferred; Strong execution mindset with attention to detail and operational discipline; Ability to work effectively in cross-functional and cross-regional teams; Comfortable operating in environments with delivery deadlines and the pressure of a high profile project; Clear verbal and written communication skills in English

Nice to have

Exposure to multi-country or global operating models

Benefits

Flexible working environment; Volunteer time off; LinkedIn Learning; Employee-Assistance-Program (EAP)
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