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 DescriptionAbout the Role
The Senior Data Analyst I develops analytic solutions that provide transparency to and enable critical business decisions regarding panel health, sample performance, and operational efficiency. In this role, you will apply a strong mathematical and statistical background to build predictive and prescriptive models aimed at optimizing operational spending—specifically reducing panelist incentives and operational costs without impacting panel performance, data quality, or core KPIs. Additionally, you will play a key role in tool migration initiatives, decoding complex logic from legacy workflows and data pipelines and re-engineering them into modern analytics frameworks. The ideal candidate brings 5+ years of experience, exhibits excellent project leadership skills, and communicates complex statistical insights clearly across technical and non-technical stakeholders.
QualificationsKey Responsibilities
- Statistical Modeling & Cost Optimization: Apply advanced statistical methods, rate forecasting, and predictive modeling to identify cost-saving opportunities across panel operations, specifically driving reductions in panelist incentive costs while maintaining data integrity and key performance metrics.
- Tool Migration & Logic Decoding: Work closely with stakeholders to decode, reverse-engineer, and document complex business logic embedded within legacy workflows and data pipelines, successfully converting and migrating them into new analytics tools and console frameworks.
- Independent Project Leadership: Lead analytics projects independently from conception to deployment, managing project timelines, production support, and the delivery of business-critical solutions.
- Process Automation & Tech Debt Reduction: Design, automate, and optimize analytics tools to better plan, predict, and monitor sample performance, significantly reducing tech debt associated with legacy architectures.
- Business Intelligence & Insights: Conduct research and quantitative analysis using descriptive, prescriptive, and statistical methods to deliver actionable insights and executive dashboards for business stakeholders.
- Cross-Functional Collaboration & Governance: Collaborate with cross-functional teams to align analytics workflows, implement data governance processes, and ensure timely issue resolution and production delivery.
Qualifications & Experience
- Education: Bachelor’s or Master’s degree in Statistics, Mathematics, Analytics, Data Science, Computer Science, or a related quantitative field.
- Experience: 5+ years of experience in quantitative analysis, data science, data analytics, or operations research.
- Statistical Mastery: Strong background in statistical modeling and testing procedures (e.g., A/B testing, ANOVA, Regression, Time Series, Correlation, and hypothesis testing).
- Technical & Migration Skills:
- 5+ years querying large relational databases using SQL (e.g., PostgreSQL, Oracle).
- 5+ years using scripting languages for data manipulation and statistical modeling (e.g., Python with SciPy, NumPy, and Pandas).
- 5+ years in data integration, analytics workflow conversion, and ETL tools (e.g., Alteryx, Databricks).
- 5+ years developing visualizations and executive dashboards using tools such as Tableau or BI platforms
- Communication & Leadership Competencies:
- Excellent verbal and written communication skills with a proven ability to explain complex statistical concepts to non-technical audiences concisely.
- Ability to lead projects independently, prioritize multiple assignments, and solve complex problems in time-critical environments.
- Strong attention to detail, commitment to data quality, and proactive drive for process improvement.
Optional Qualifications
- Experience with process improvement methodologies such as Lean or Six Sigma.
- Familiarity with Agile project management tools (Jira, Confluence, or Smartsheets).
- Alteryx Core Certification or experience working with cloud ecosystems (Databricks, AWS).
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.
Skills Required
- Bachelor’s or master’s degree in Statistics, Mathematics, Analytics, Data Science, Computer Science, or a related quantitative field
- 5+ years of experience in quantitative analysis, data science, data analytics, or operations research
- Strong statistical modeling and testing experience, including A/B testing, ANOVA, regression, time series, correlation, and hypothesis testing
- 5+ years querying large relational databases using SQL, such as PostgreSQL or Oracle
- 5+ years using scripting languages for data manipulation and statistical modeling, including Python, SciPy, NumPy, or Pandas
- 5+ years of experience with data integration, analytics workflow conversion, and ETL tools such as Alteryx or Databricks
- 5+ years developing visualizations and executive dashboards using Tableau or BI platforms
- Excellent verbal and written communication skills, including explaining complex statistical concepts to nontechnical audiences
- Ability to lead projects independently, prioritize multiple assignments, and solve complex problems in time-critical environments
- Strong attention to detail, commitment to data quality, and proactive process-improvement mindset
- Experience with Lean or Six Sigma process-improvement methodologies
- Familiarity with Agile project-management tools such as Jira, Confluence, or Smartsheet
- Alteryx Core Certification or experience with cloud ecosystems such as Databricks or AWS
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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