Data Operations Coordinator II

Nielsen-2ede5b8f; Bengaluru; On-site; INR 420,000 - 640,000; Full time

Job summary

Nielsen in Bengaluru is seeking a data operations professional to coordinate day-to-day data tasks, ensure on-time delivery, and monitor SLAs in a fast-paced environment.

You will perform routine production tasks, analyze data for trends, validate outputs, and collaborate with internal teams to maintain accuracy and quality. The role emphasizes structured work, reporting, and ongoing process improvement.

Qualifications

• 1–3 years of experience in data operations or related roles.
• Strong understanding of how tasks align with team goals and business operations.
• Ability to solve routine operational problems using established procedures.
• Excellent data accuracy and quality focus.
• Strong analytical and problem-solving abilities.
• Experience monitoring daily deliverables and SLA-driven workflows.
• Good written and verbal communication skills.
• Strong presentation skills to explain updates clearly.
• Ability to manage workload, prioritize tasks, and meet deadlines.
• Familiarity with dashboards and reporting tools.
• Willingness to learn new tools, workflows, and business requirements.

Responsibilities

• Coordinate day-to-day data operations to support timely delivery.
• Perform routine production tasks following procedures and standards.
• Monitor daily SLAs and escalate risks or delays.
• Conduct data analysis to identify trends and improvements.
• Support market research operational activities, including validation and reporting.
• Review data for accuracy before final delivery.
• Collaborate with internal teams to ensure smooth workflows.
• Maintain trackers, reports, and documentation for operations.
• Communicate updates and progress clearly to stakeholders.
• Prepare operational updates or performance summaries when needed.
• Follow policies and compliance while maintaining quality.
• Propose ideas for process efficiency and error reduction.

Skills

Data operations

SLA management

Analytical skills

Attention to detail

Communication skills

Time management

Collaboration

Learning mindset

Excel proficiency

Python basics

Tools

Microsoft Excel

Google Apps Script

Python

ServiceNow

Ops Console

Job 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 elevate 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.