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ABOUT THE ROLE
The Nielsen Data Operations team provides comprehensive cross-platform advertising intelligence with actionable insights to identify prospects, analyze brand strategies and learn from past advertising campaigns to plan for the future.
As part of the team, you will be responsible for capturing, coding and delivering data to clients for the Singapore market, and/or other markets as assigned.
ROLE RESPONSIBILITIES
Responsible for daily/weekly/monthly data delivery reports/dashboards to our internal Client Services team and/or external clients
Identify products and advertisements on media channels for data input.
Input timely and accurate information into our database platform in a quality-driven manner, adhering to internal processes/procedures and obtaining required approvals within specified timeframes
Conduct periodic data audits to uphold the data integrity of data, reports and/or dashboards, participating in Quality Control checks/audits for all aspects of the Ad Intel processes
Perform troubleshooting of technical data queries
Work closely with internal Client Services team/s on clients’ requirements
Assist in identifying/initiating/supporting improvements to processes and procedures to enhance overall work quality and efficiency
Support in new initiatives and/or projects as and when required
QUALIFICATIONS & SKILLS
Minimum SPM / STPM / Diploma or equivalent qualifications
1 to 2 years of research and/or data management experience preferred but not a must
Ideally, have an interest in data analytics
Google Suite Applications – Gmail, Google Doc, Google Slides, etc
Meticulous with strong attention to detail
Good organizational skills & the ability to juggle competing priorities
Well-organized with the ability to plan and prioritize
Good communication in English, both written and verbal.
Strong interpersonal skills with a collaborative mindset to work well with others
Estimated Salary Range
Our AI-powered salary intelligence estimates this position's salary to be between $18,000 - $22,000. The actual salary may vary based on factors such as experience, location, and market trends.