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Data Operations Coordinator II

nielsen Bengaluru, India
Full-time Hybrid work

Publication date: 30/08/2026

Coordinate day-to-day data operations activities to support timely and accurate delivery of assigned outputs. Perform routine and moderately complex production tasks in line with established procedures, quality standards, and delivery timelines. Monitor daily SLAs, track operational performance, and escalate risks or delays in a timely manner. Conduct data analysis and basic production analysis to identify trends, gaps, and improvement opportunities. Support market research-related operational activities, including data validation, reporting support, and process coordination. Review data for accuracy, completeness, and consistency before final delivery. Work closely with internal teams to ensure smooth execution of workflows and alignment across related functions. Maintain trackers, reports, and documentation for daily operations, production status, and SLA performance. Communicate updates, issues, and progress clearly to team members and stakeholders. Prepare and present operational updates, findings, or performance summaries when required. Follow established policies, procedures, and compliance requirements while maintaining productivity and quality standards. Contribute ideas for process efficiency, workflow improvement, and error reduction.

Responsibilities

Coordinate day-to-day data operations activities to support timely and accurate delivery of assigned outputs; Perform routine and moderately complex production tasks in line with established procedures, quality standards, and delivery timelines; Monitor daily SLAs, track operational performance, and escalate risks or delays in a timely manner; Conduct data analysis and basic production analysis to identify trends, gaps, and improvement opportunities; Support market research-related operational activities, including data validation, reporting support, and process coordination; Review data for accuracy, completeness, and consistency before final delivery; Work closely with internal teams to ensure smooth execution of workflows and alignment across related functions; Maintain trackers, reports, and documentation for daily operations, production status, and SLA performance; Communicate updates, issues, and progress clearly to team members and stakeholders; Prepare and present operational updates, findings, or performance summaries when required; Follow established policies, procedures, and compliance requirements while maintaining productivity and quality standards; Contribute ideas for process efficiency, workflow improvement, and error reduction

Requirements

1–3 years of experience in data operations, production support, market research operations, administrative support, or related business operations roles; Understanding of how assigned tasks connect with team goals and broader business operations; Ability to solve routine operational problems independently by selecting from established solutions and procedures; Strong attention to detail and commitment to data accuracy and quality; Good analytical and problem-solving skills; Experience monitoring daily deliverables, turnaround times, or SLA-driven workflows; Good communication skills, both written and verbal; Good presentation skills, with the ability to explain updates, findings, or issues clearly; Ability to manage own workload, prioritize tasks, and meet deadlines in a structured environment; Ability to collaborate effectively with cross-functional teams; Willingness to learn new tools, workflows, and business requirements; No supervisory responsibility; individual contributor role; Flexible with shift on Weekends or in rotational work

Nice to have

Working knowledge of Microsoft Excel, reporting tools, and standard business systems is preferred; Exposure to market research processes or data production environments; Basic knowledge of automation concepts and process improvement approaches in operational environments; Familiarity with Google Apps Script or Google Scripting for workflow support, reporting, or task automation is preferred; Basic Python skills for data handling, reporting support, or simple operational automation are an advantage; Experience with usage of dashboards such as service now, ops console would be an added benefit
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