Data Operations Coordinator II

Company Description

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.

Job Description

• 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.

Qualifications

• 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.
• Working knowledge of Microsoft Excel, reporting tools, and standard business systems is preferred.
• 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

Success Measures

• Timely completion of assigned production and operational tasks.
• Accuracy and quality of delivered data and reports.
• Consistent adherence to daily SLA and process requirements.
• Effective coordination and communication with internal stakeholders.
• Contribution to process stability and continuous improvement.

Additional Information

• Exposure to market research processes or data production environments.
• Comfortable working with repetitive and deadline-driven tasks while maintaining quality.
• Proactive approach to identifying issues and supporting resolution within defined processes.
• Willingness to learn new tools, workflows, and business requirements.
• 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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