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 DescriptionAre you passionate about turning complex data into real-world operational impact using cutting-edge technology? As our Senior Data Analyst, you’ll sit right at the heart of Nielsen's panel operations—connecting data, continuous improvement, and modern AI capability.
In this role, you’ll dive into panel performance, leverage AI tools to automate analytical workflows, spot potential risks before they happen, and collaborate with teams across the company to keep everything running smoothly. If you thrive on blending AI-driven analytics with hands-on problem solving, we’d love to meet you!
What You'll Do Every Day
Keep Your Pulse on Panel Health: Monitor key operational metrics, leverage AI to dig into trends and root causes, and tackle potential risks early on.
Build Intelligent Workflows & Dashboards: Design intuitive scorecards, predictive models, and AI-assisted workflows to translate tricky business questions into clear, actionable recommendations.
Ensure High Data Quality: Validate data pipelines, spot logic issues, and create reliable forecasts using advanced analytical and AI tools that teams can count on.
Turn Insights Into Action: Create clear action plans with milestones and deliverables. Track service requests, troubleshoot issues, and follow through until problems are solved.
Collaborate Across Teams: Work closely with cross-functional partners in Operations, Tech, Quality, Workforce Management, and beyond to resolve roadblocks and improve processes.
Champion Continuous Improvement: Automate documentation, support audit readiness, and share data story insights with both technical and non-technical stakeholders in a friendly, virtual team setting.
What You Bring to the Team
Education & Background: A Bachelor’s degree in Data Science, Business Analytics, Statistics, Operations, or a related field (or equivalent hands-on experience), plus experience analyzing operational, quality, or survey data.
AI & Technical Toolkit: Proficient with AI tools (such as Claude, ChatGPT, or Enterprise LLMs) to write queries, summarize data, and automate analytical workflows. Strong hands-on experience with SQL, Excel, and modern data processing tools.
Bilingual Skills: Strong written and spoken communication in both English and Spanish.
Soft Skills: Great attention to detail, strong organization, and the natural ability to build relationships and influence colleagues without needing direct authority.
Experience using Claude or GitHub Copilot for data querying, Python scripting, or logic validation.
Experience with panel operations, audience measurement, or media research (like TAM or Audio measurement).
Hands-on experience with Python, Tableau, Alteryx, or Google Data Studio.
Familiarity with data governance, UAT, ticketing systems, or supporting U.S.-based teams remotely.
What Success Looks Like You’ll know you’re thriving when your data analyses are sharp and automated, risks are caught early through smart AI workflows, team action plans are smoothly executed, and your cross-functional teammates love partnering with you to solve complex operational challenges!
Additional InformationPlease 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.
Nielsen is committed to maintaining a work environment free from any form of discrimination and harassment. Nielsen prohibits conduct that has the purpose or effect of interfering with terms or conditions of employment, or that creates an intimidating, hostile, or offensive work environment based on: race, skin color/national or ethnic origin/ancestry, religion/creed, physical or mental disability/medical condition/genetic information, pregnancy, marital status, sex/gender, gender identity/gender expression/sexual orientation, age, or any other characteristic protected by applicable law.
At Nielsen, we promote equal opportunities for all individuals and value a diverse and inclusive workplace.
Skills Required
- Bachelor’s degree in Data Science, Business Analytics, Statistics, Operations, or a related field, or equivalent hands-on experience
- Experience analyzing operational, quality, or survey data
- Proficiency with AI tools such as Claude, ChatGPT, or enterprise LLMs for querying, summarization, and workflow automation
- Strong hands-on experience with SQL and Excel
- Strong written and spoken communication in English and Spanish
- Strong attention to detail and organization
- Ability to build relationships and influence colleagues without direct authority
- Experience using Claude or GitHub Copilot for data querying, Python scripting, or logic validation
- Experience with panel operations, audience measurement, or media research
- Hands-on experience with Python, Tableau, Alteryx, or Google Data Studio
- Familiarity with data governance, UAT, ticketing systems, or supporting U.S.-based teams remotely
Nielsen Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nielsen and has not been reviewed or approved by Nielsen.
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Parental & Family Support — Paid parental leave is described as generous for all parents, with birthing parents receiving substantially longer time, and the program is complemented by adoption, fertility, and surrogacy support. Employer-verified entries and company communications consistently highlight family benefits as a standout.
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Leave & Time Off Breadth — Paid time off is considered solid, with some teams using flexible or unlimited PTO models and additional offerings like paid volunteer time. These time-away policies often contribute meaningfully to work-life balance.
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Wellbeing & Lifestyle Benefits — Smart Work flexibility, an Employee Assistance Program, and broader well-being initiatives are emphasized as part of a holistic package. These elements are frequently cited as strengths that enhance day-to-day experience.
Nielsen Insights
What We Do
For over 100 years, Nielsen has been a global leader in audience measurement, data and analytics, shaping the future of media. Measuring behavior across all channels and platforms to discover what audiences love, we empower our clients with trusted intelligence that fuels action. As the global media industry continues to evolve, Nielsen will be at the forefront of delivering audience insights that empower marketers and content developers, and ultimately help connect consumers to what matters most to them. We will be guided by our values of inclusion, courage and growth; and we will continue to innovate our products and technology while investing in our talent to drive sustainable and scalable long-term growth.
Why Work With Us
At Nielsen, we have big dreams and aspirations, all of which are achievable if we work as a team. Our culture helps us come together and clarifies how we work together to achieve these goals
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