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Data Analyst
Data Analyst-August 2024
Mexico City
Aug 5, 2026
ABOUT NIELSEN
We’re in tune with what the world is watching, buying, and everything in between. If you can think of it, we’re measuring it.
10,000+ employees
Client Services
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About Data Analyst

  At Nielsen, we believe that career growth is a partnership. You ultimately own, fuel and set the journey. By joining our team of nearly 14,000 associates, you will become part of a community that will help you to succeed. We champion you because when you succeed, we do too. Embark on a new initiative, explore a fresh approach, and take license to think big, so we can all continuously improve. We enable your best to power our future.

  As a Research Analyst on the US Research & Analytics team, you may execute brand impact surveys measuring ad effectiveness on media platforms of all kinds from digital, to social, to streaming, to podcasting, and beyond. Additionally, the Research Analyst will have the opportunity to assist in developing and performing deep-dive custom analyses under the guidance of research leads.

  Responsabilities:

  Create detailed research analyses focused on the effectiveness of advertising on a variety of media platforms using established test vs control methodology

  Decide on the correct analytic approach(es) to measure campaigns and evaluate question selection/wording

  Work directly with clients from study proposal phase through to delivery

  Guide clients in interpretation of results of analytics, often presenting results directly to agencies, advertisers, and media companies

  Perform strong quality assurance checks on poll grammar and tone, data collection during survey flight, and finalized reports

  Investigate / raise questions when issues are discovered and proactively work to help find the root cause and resolve them

  Work as part of a team to create research solutions for new product developments that would better serve our clients

  Design and implement brand impact surveys and analyze and interpret findings, as necessary

  Qualifications:

  Bachelor’s degree in a quantitative discipline, Marketing, or related field

  0-2 years experience in managing big sets of data

  Knowledge of SPSS, VBA, and R scripting language a strong plus

  Very strong quantitative, data tabulation, analytic thinking and data mining skills

  Excellent skills with Microsoft Office and Google suite of products (especially Excel/Sheets, PowerPoint/Slides)

  Strong written and verbal communication skills in english and spanish

  #LI-YL1

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