Jobs at Nielsen

Positions 3,394

Nielsen is a global leader in measurement and data analytics, renowned for pioneering TV ratings, digital audience measurement, and consumer insights. The company leverages advanced data science and AI to help brands understand audience behavior and media effectiveness.

Tech talent is sought across a spectrum of functions—software engineering, data engineering, data science, product management, analytics, AI/ML, UX research, and business intelligence. Candidates can expect a data‑centric recruitment process, collaborative cross‑functional teams, and opportunities to work on high‑impact projects that span multiple continents.

By viewing Nielsen listings on Job Transparency, applicants gain immediate visibility into verified salary ranges and employee sentiment scores. This transparency allows job seekers to evaluate pay, culture, and growth prospects before applying, giving them a decisive advantage in making informed career choices.

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Frequently Asked Questions

What is it like to work at Nielsen?
Employees experience a collaborative, data‑driven culture that values innovation and continuous learning. Nielsen supports cross‑functional teamwork, offers access to cutting‑edge analytics tools, and promotes diversity and inclusion through global projects and professional development programs.
What types of positions are available at Nielsen?
Nielsen hires for a wide array of tech roles, including software engineers, data engineers, data scientists, product managers, AI/ML specialists, UX researchers, analytics managers, and business intelligence developers. Each role focuses on transforming data into actionable insights for media and consumer brands.
How can I stand out as an applicant?
Highlight concrete data projects and measurable outcomes on your resume, showcase proficiency in SQL, Python, or Scala, and demonstrate familiarity with Nielsen’s measurement domains. Tailor your cover letter to Nielsen’s mission of delivering audience insight, prepare for a data‑centric interview with case studies, and express enthusiasm for contributing to global media analytics.

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