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Nielsen Research Analyst Jobs (NOW HIRING)

... R&D, Operations, and Sales, as well as external partners to ensure alignment with strategic ... Compile, process, and present data from syndicated databases (e.g., Nielsen/IRI) and internal ...

... R&D, Operations, and Sales, as well as external partners to ensure alignment with strategic ... Compile, process, and present data from syndicated databases (e.g., Nielsen/IRI) and internal ...

Overseeing, analyzing and maintaining all research information and functions from Nielsen, Kantar, Marshall Marketing, Strata, Google Ad Manager and other tools that support and enhance the sales and ...

Overseeing, analyzing and maintaining all research information and functions from Nielsen, Kantar, Marshall Marketing, Strata, Google Ad Manager and other tools that support and enhance the sales and ...

... R&D, Operations, and Sales, as well as external partners to ensure alignment with strategic ... Compile, process, and present data from syndicated databases (e.g., Nielsen/IRI) and internal ...

Overseeing, analyzing and maintaining all research information and functions from Nielsen, Kantar, Marshall Marketing, Strata, Google Ad Manager and other tools that support and enhance the sales and ...

Showing results 21-40

Nielsen Research Analyst information

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$38.5K

$74K

$99.5K

How much do nielsen research analyst jobs pay per year?

As of Aug 17, 2026, the average yearly pay for nielsen research analyst in the United States is $73,965.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What does a Nielsen Research Analyst do?

A Nielsen Research Analyst collects, analyzes, and interprets data related to consumer behavior, television ratings, media consumption, and market trends. They use various research methodologies to generate insights that help clients understand audience preferences and make informed business decisions. Analysts often prepare reports, present findings, and assist in developing strategies based on their research. Their work supports advertising, marketing, and media companies in optimizing their campaigns and product offerings.

What are the key skills and qualifications needed to thrive as a Nielsen Research Analyst?

To succeed as a Nielsen Research Analyst, you need strong analytical skills, a solid understanding of statistics, and at least a bachelor's degree in a related field such as business, marketing, or economics. Familiarity with data analysis tools like SPSS, Excel, and Nielsen's proprietary software is typically required. Outstanding attention to detail, effective communication, and the ability to interpret and present complex data make a candidate stand out. These skills ensure accurate market insights and actionable recommendations for clients, directly impacting business decisions.

What is the difference between Nielsen Research Analyst vs Nielsen Data Analyst?

AspectNielsen Research AnalystNielsen Data Analyst
Required CredentialsBachelor's degree in marketing, statistics, or related field; familiarity with Nielsen toolsBachelor's degree in data science, statistics, or related field; proficiency in data analysis software
Work EnvironmentMarket research firms, media companies, consumer goods companiesMedia agencies, market research firms, data-driven companies
Employer & Industry UsageUsed for analyzing consumer insights and media consumption patternsUsed for interpreting large datasets and generating reports

The Nielsen Research Analyst and Nielsen Data Analyst roles share similarities in industry and required skills but differ mainly in focus. The Research Analyst emphasizes understanding consumer insights and media trends, while the Data Analyst concentrates on data processing and technical analysis. Both roles are vital in market research and media analysis, often overlapping in skills and tools used.

Does Nielsen offer work from home?

Nielsen Research Analysts may have opportunities for remote work, depending on the role and location. Many positions involve data analysis and reporting that can be performed remotely, but some roles may require on-site presence or travel. It is best to check specific job listings for remote work options and requirements.

Is a Nielsen Research Analyst in demand?

Nielsen Research Analysts are in demand due to the ongoing need for data analysis in marketing, media, and consumer insights. The role often requires proficiency with data tools and industry knowledge, and employment opportunities are expected to grow as companies increasingly rely on data-driven decision making.
More about Nielsen Research Analyst jobs

What cities are hiring for Nielsen Research Analyst jobs?

Cities with the most Nielsen Research Analyst job openings:

Infographic showing various Nielsen Research Analyst job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $73,965 per year, or $35.6 per hour.

$93K/yr

Full-time

Medical, Retirement, PTO

Posted 13 days ago


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.
Job Description
The Custom Media Analytics Delivery team sits within Nielsen's Commercial organization and functions
as an incubator for new innovative products. We leverage existing Nielsen datasets to build custom
solutions that don't yet exist in Nielsen's standard product portfolio. That means taking raw, often messy
datasets from across Nielsen's ecosystem and turning them into something a client can actually use -
which requires knowing the data deeply, modeling it correctly, and moving fast.
What You'll Do
  • Design and build new measurement products by combining Nielsen datasets across National and Local linear TV, Streaming, Audio, and Digital - understanding the weighting rules, projection logic, and methodology differences that make cross-dataset work hard to get right
  • Develop statistical and machine learning models that extend or adapt Nielsen methodologies to answer questions that standard products can't address
  • Write production-quality SQL, Python, and PySpark to extract, transform, and model data from

Nielsen's cloud data environment
  • Build reusable data pipelines and ETL workflows that allow custom solutions to be delivered repeatably rather than rebuilt from scratch each time
  • Use AI tools actively - to validate models, accelerate pipeline development, stress-test logic, and compress the time between concept and delivery
  • Translate stakeholder requests into well-scoped analytical problems, push back when the ask is unclear, and deliver with clear documentation of methodology and assumptions
  • Collaborate with Research, Commercial Sales, and Client Insights teams; communicate complex model decisions in plain language

Qualifications
Nielsen & Media Research Knowledge
  • 3+ years working directly with Nielsen datasets (TAM, DAR/N1Ads, DCR, Audio, or similar) with hands-on knowledge of Nielsen's weighting, projection, and audience estimation methodology
  • Proven ability to merge and reconcile multiple Nielsen data sources, navigating differences in sample design, universe estimates, and reporting conventions
  • Solid grasp of US media research fundamentals across Television, and Digital

Data Science & Modeling
  • Advanced degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field
  • 5+ years in data science or analytical research roles, with a track record of delivering production-grade models - not just analyses
  • Strong foundations in statistical modeling, sampling theory, weighting, and survey-based projections; comfortable with ML techniques where they fit
  • Engineering & Technical Stack
  • Expert-level Python and SQL; strong PySpark for big data work in cloud environments (AWS preferred)
  • Experience with Databricks for large-scale data processing and ML workflows; familiarity with warehouse-native ML (Databricks ML, Snowflake, or BigQuery ML) is a plus
  • Experience building and maintaining ETL pipelines using Airflow or equivalent orchestration tools
  • Familiarity with data warehousing concepts, cloud-native storage (Redshift, S3, or similar), and data engineering principles

AI Fluency - Required, Not Optional
  • Active daily use of AI tools (LLMs, copilot-style assistants) for code generation, model validation, documentation, and workflow acceleration - this is a core expectation of the role
  • Experience designing agentic AI workflows for automation - chaining tools, validation steps, and outputs to reduce manual effort on repeatable tasks
  • Comfortable evaluating where AI outputs need verification versus where they can be trusted; understands the limits as well as the leverage

Communication & Delivery
  • Ability to explain methodology decisions to non-technical stakeholders without oversimplifying the tradeoffs
  • Strong documentation habits - methods, data dictionaries, and assumptions written up so others can reproduce and build on your work
  • Proficiency in Tableau, Spotfire, or equivalent visualization tools for QA and client-facing output

This role is for someone who is energized by building things that don't exist yet, comfortable in ambiguity, and
disciplined enough to get the methodology right the first time.
#LI-LS1
Additional Information
Enabling your best to power a better media future.
Holistic Rewards: We are committed to an inclusive benefits package that supports our employees and their families. This includes comprehensive health and wellness plans, a 401(k) with a Nielsen company match, and a generous paid time off policy. Depending on the role, additional benefits may include a company-provided vehicle and/or discretionary incentive/bonus eligibility.
Compensation Transparency: The posted base salary range is a reasonable estimate that may be adjusted based on the final work location of the selected employee. Individual pay within the range is determined by factors such as experience, training, geography, certifications, and business needs. Beyond base salary, this role may be eligible for bonuses, equity, or other incentives
Nielsen makes hiring decisions without regard to disability status, protected veteran status, or membership in any other protected class.
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.