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Advertisement Analyst / Operational Analyst (Functional/Non-IT) | Mumbai

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Location: Mumbai, India

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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 Summary

This is a Data Entry position. As an Ad Intel Classification Analyst, you will be responsible for the identification, monitoring and classification of advertising from a range of media types using bespoke monitoring software.

Responsibilities
  • Using Nielsen applications, identify relevant advertising from a variety of media.
  • Enter key details into the database from adverts for clients to use to improve their own media campaigns and monitor competitor activity
  • Follow and understand coding rule guidelines.
  • Follow established business rules to identify products or services being advertised.
  • Identify valid new brand records to flag for additional research.
  • Research problem areas found in the database through daily maintenance procedures to address and resolve discrepancies.
  • View digitised print content using the proprietary print platform; content viewed includes national and local Consumer Magazines and Newspapers.
  • Sort and organise digitised content to ensure all pages of an ad are captured together.
  • Assign positions and page attributes as outlined by media-specific guidelines.
  • Identify advertising content within digitised print content by “clipping” ads, or validating automated “clips”.
  • Quickly and accurately identify characteristics from the image like Brand/Advertiser Name, Product Classification, Ad Type, Color and Positioning of Advertisement, Title Information.
  • Watch and listen to commercial suspects via video clips and use Ad Intel classification guidelines to determine the type of suspect (commercial, promo, PSA, etc.).
  • Work as part of a team to ensure all departmental deadlines are met.
  • Work to reach and exceed agreed targets for both productivity and quality to enable the team to meet all SLA agreements.
  • Receive feedback from your line manager or supervisor and act upon it to ensure continuous improvement.
  • Work closely with your peers and communicate on a regular basis to help support each other and ensure everyone is working effectively towards the same goal.
  • Must be aligned with Nielsen's core values of Courage, Growth, and Inclusion.

    • Competencies
  • High focus on attention to detail.
  • Delivery focused.
  • Excellent written and verbal communication skills.
  • Excellent typing skills.
  • Good basic numeracy skills.
  • Good understanding of the Google suite.
  • Fluent in UK English.
  • Demonstrate both strong results focus and sensitive people skills.
  • Be flexible and open to change.
  • Knowledge of UK brands is a plus.
  • May be required to work weekends as part of a shift rota. 
  • May be required to work some UK Bank Holiday days in line with department shift rotas. 

    • Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

    Estimated Salary Range

    Our AI-powered salary intelligence estimates this position's salary to be between $10,000 - $15,000. The actual salary may vary based on factors such as experience, location, and market trends.

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