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.
Build predictive models and rate forecasts to find cost savings in panel operations
Decode and document legacy business logic, then convert it into new analytics tools
Lead analytics projects from conception to deployment, including production support
Automate and optimize tools that plan, predict, and monitor sample performance
Build executive dashboards and quantitative insights for business stakeholders
From the employer’s posting
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.
Apply advanced statistical methods, rate forecasting, and predictive modeling to identify cost-saving opportunities across panel operations
decode, reverse-engineer, and document complex business logic embedded within legacy workflows and data pipelines
Lead analytics projects independently from conception to deployment, managing project timelines, production support
Design, automate, and optimize analytics tools to better plan, predict, and monitor sample performance
deliver actionable insights and executive dashboards for business stakeholders
Experience: 5+ years of experience in quantitative analysis, data science, data analytics, or operations research.
5+ years querying large relational databases using SQL (e.g., PostgreSQL, Oracle).
Experience with process improvement methodologies such as Lean or Six Sigma.
5+ years using scripting languages for data manipulation and statistical modeling (e.g., Python with SciPy, NumPy, and Pandas).
Familiarity with Agile project management tools (Jira, Confluence, or Smartsheets).
5+ years in data integration, analytics workflow conversion, and ETL tools (e.g., Alteryx, Databricks).
Qualification wording
Experience: 5+ years of experience in quantitative analysis, data science, data analytics, or operations research.
5+ years querying large relational databases using SQL (e.g., PostgreSQL, Oracle).
Experience with process improvement methodologies such as Lean or Six Sigma.
5+ years using scripting languages for data manipulation and statistical modeling (e.g., Python with SciPy, NumPy, and Pandas).
Familiarity with Agile project management tools (Jira, Confluence, or Smartsheets).
5+ years in data integration, analytics workflow conversion, and ETL tools (e.g., Alteryx, Databricks).
Education & alternatives
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.
Likely evergreenReposted 4 times since May 11, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.
Status in our records
Live
First seen by us
Nov 4, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 5, 2026
Reposted
4 times since May 11, 2026
Nov 4, 2026today
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Time since we first saw it
Day 1
756
Early. Similar jobs usually come down between day 7 and day 56.
At The Nielsen Company, jobs usually come down by about day 8.
From 10,277 similar postings that came down, and 124 of The Nielsen Company’s. Coming down is not always a hire.
The Nielsen Company is hiring
10 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Python
SQL
AWS
Databricks
Oracle
PostgreSQL
Tableau
NumPy
pandas
SciPy
Where the posting names them
- 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).
- 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).
- 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.
- 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
- 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:
Yes. We’ve followed 4 other Senior Data Scientist I jobs there since May 2026. 4 came down, usually after about 9 days.
BengaluruCame down after 2 days, first seen May 11
BengaluruCame down after 51 days, first seen Jun 1
United StatesCame down after 4 days, first seen Jun 18
BengaluruCame down after 14 days, first seen Sep 21
This jobUp 1 day so far, first seen Nov 4
May 11Today
If this one keeps the same pace, it may come down around November 13.
Large employers often post one title for several teams, so these can be separate openings.
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
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.
Qualifications
Key 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.
Additional Information
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.
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.