Sr Data Analyst

Nielsen · Mexico

Company

Nielsen

Location

Mexico

Type

Full Time

Job Description

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. 

What would make me a great candidate? 
You enjoy the fundamentals of survey research and data analysis.  You understand the basics of sample frames, plans, estimation and selection in the research cycle.  You’re curious about local market population nuances, and how to adapt to meet the goals for each local area.   You’re excited to improve the current tools with automation.


What would I do?
  • Support and enhance existing sampling processes.
  • Estimate sample needs by reviewing performance metrics.
  • Select sample records based on specifications.
  • Complete recurring operational tasks.
  • Monitor data collection to ensure study is progressing as planned and meeting timelines, and that quota groups are being met.
  • Develop, test, and maintain sampling applications in Python.
  • Extract data from platforms using SQL.
  • Utilizes tools such as Python, Tableau, SAS, etc. to perform complex data analysis, develop tools for automating procedures, and create visualizations to deliver insights into survey performance.


  • Is this for me?
  • Bachelor’s degree
  • At least 3-4 years of relevant research and data analytics experience
  • Knowledge of survey sampling methodologies and data collection techniques
  • Well-organized and capable of handling multiple projects simultaneously 
  • Demonstrated success and effectiveness working in a time-critical production environment
  • Expertise in analytics programming languages, such as Python (with Pandas) and R
  • Basic experience in SQL or PySpark.
  • Proficiency in MS Office suite and/or Google Office Apps
  • Familiarity with BI, Spotfire, Tableau or other data visualization software and techniques
  • Excellent English and Spanish oral and written communication skills.
  • #LI-YL1
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    Date Posted

    08/14/2024

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