Data Operations Supervsior

About Buzzmetrics Buzzmetrics, a member of YouNet Group, is a leading Social Media & E-commerce Market Research company for Marketing Systems.

Since 2013, Buzzmetrics has pioneered the application of market research methodologies to social media and digital environments, helping organizations understand market dynamics, consumer behavior and category evolution through social and commerce data.

By combining social listening, consumer research, category intelligence and commerce analysis, Buzzmetrics enables brands and agencies to uncover meaningful market signals, strategic insights and emerging opportunities across modern marketing environments.

We are looking for a Data Operations Supervisor detail-oriented, process-driven leader with strong problem-solving and communication skills to manage our data operations team and ensure flawless delivery of social listening projects.

The Data Operations Supervisor will oversee the end-to-end data workflow for social listening and social media research projects. This role is responsible for managing workload allocation, ensuring data quality, building and standardizing QC processes, and acting as the primary liaison between the Data team, Research/Insights teams, and Technical stakeholders. The Data Operations Supervisor plays a key role in ensuring that social data deliverables are accurate, timely, and aligned with client expectations.

Job Description

• Data Quality & Process Control
• Ensure data accuracy, consistency, and reliability in tagging/sentiment.
• Build and maintain QC frameworks, SOPs, and validation checklists.
• Conduct root cause analysis and implement corrective actions for recurring issues.
• Issue Resolution & Stakeholder Collaboration
• Act as the primary liaison between Data Ops, Research, and Tech
• Troubleshoot data incidents (e.g., feed/API errors, duplicates, missing coverage).
• Provide timely updates and communicate solutions to stakeholders.
• Project & Team Management
• Plan and allocate resources across multiple social listening projects.
• Monitor workload, timelines, and delivery status to meet SLAs.
• Lead, coach, and evaluate the performance of data analysts/QC staff.
• Process Improvement & Automation
• Identify bottlenecks and propose process optimizations.
• Implement automation tools or scripts to improve efficiency.
• Track and report operational KPIs to drive continuous improvement.

Requirements Education/ Knowledge:

• Solid background in data operations, including workflow design, process documentation, and end-to-end data management (from ingestion to delivery).
• Strong understanding of data quality frameworks: validation rules, QC sampling methods, and error classification.

Skills

• Project management: workload planning, timeline tracking, stakeholder coordination.
• Excellent communication skills.
• Problem-solving and decision-making under pressure.

Experiences

• 5+ years in data operations / research operations, preferably within market research or social listening.
• Minimum 1 year of team management experience.
• Proven track record in delivering high-quality, large-scale data projects under tight deadlines.

Personality

• Detail-oriented and process-driven, with a focus on data accuracy and consistency.
• Proactive mindset: anticipates problems and proposes solutions before escalation.
• Strong stakeholder management skills: able to collaborate effectively across Research and Technical teams.
• Adaptable and resilient in a fast-paced

Benefits

• Competitive salary
• Premium healthcare insurance (for Upper Senior level)
• 12 days of annual leave & 5 days of sick leave
• Standard health check
• Company trip, Year end party, Team building
• Occasion-based offerings: Birthday, wedding, maternity, …
• Parking support
• Equipment for work (Laptop)
• Access comprehensive training to stay ahead in social media trends and tools, enhancing your skills for continued growth
• Thrive in a fast-paced,dynamic environment where you’ll collaborate with teams across the company to solve challenges and drive innovation

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