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Job Description

Company 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.

  • Nielsen measures the media-consumption habits of homes globally. Our data paints a rich portrait of the audience in those markets we measure. As a pioneer and industry leader in audience measurement for more than half a century, we take pride in our technology and processes, and we are constantly searching for new ways to advance our culture of innovation and growth.
  • The Data Analyst II’s primary responsibility in the Data Science and Analytics teams is to maintain sample quality benchmarks for Nielsen’s panels and samples that support audience measurement. In order to exceed client expectations and deliver high quality standards, the Data Analyst will work as part of a team to perform many routine and ad hoc functions to maintain our sample and panels. These tasks include generating insights from data analysis, forecasting performance and benchmark attainment, developing system enhancements, procedural maintenance, supporting survey methodology enhancements, and supporting internal and external ad-hoc requests.

Responsibilities

  • Works as an integral member of the Global Data Solutions team in a time-critical production environment.
  • Responsible for a set of recurring operational tasks, for meeting stringent methodological requirements and meeting the highest of customer expectations.
  • Develops and implements data mining & machine learning solutions to improve production planning processes.
  • Develops and implements rate forecast models to be used in a production environment for sample ordering and selection.
  • Utilizes tools such as Python, Tableau,, etc. to perform complex data analysis, develop tools for automating procedures, and create visualizations to deliver insights into survey performance.
  • Maintains and updates documented departmental procedures, checklists and metrics comprehensively and on a timely basis.
  • Queries data from large relational databases for various analyses and/or requests, using SQL or SQL pass-through solutions.
  • Designs tools to better plan, predict and monitor sample performance at the survey and/or market level.
  • Works closely with internal stakeholders to improve current processes and engineer new methods.
  • Detects, troubleshoots, and resolves data or system anomalies to support uninterrupted production.

Qualifications

  • Required a minimum of 3 years of relevant working experience.
  • Undergraduate or graduate degree in mathematics, statistics, engineering, computer science, or fields that employ rigorous data analysis.
  • Strong verbal, presentation, and written skills
  • Strong critical thinking and creative problem solving skills
  • Strong planning and organizational skills
  • Familiarity & proficiency with scripting languages (i.e. Python, R) and version control (i.e. Git)
  • Familiarity with SQL, Oracle or other relational database software including manipulation of large data sets
  • Familiarity with BI, Tableau or other data visualization software and techniques
  • Preferred: Knowledge of survey sampling methodologies and data collection techniques
  • Preferred: Knowledge of A/B testing, statistical testing

Additional Information

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.

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