Senior Data Analyst I
Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Oct 29, 2026. Nielsen scores B on the Alion truth index.
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.
Role Summary
As a Research Senior Data Analyst, you will bridge the gap between technical data
processing and strategic insights. You will manage the end-to-end lifecycle of quantitative
research, from scripting logic and AI-enhanced quality control to advanced statistical modeling
and dashboarding.
Key Responsibilities
1. Technical Design & Survey Scripting
- Advanced Scripting: Lead the programming of complex online surveys using Tivian,
Decipher, Qualtrics, or in-house tools, ensuring sophisticated logic and seamless data
collection.
- Study Implementation: Design and execute quantitative sports research studies,
ranging from single-market ad-hoc projects to multi-country trackers.
- AI & Automation: Proactively utilize AI tools to enhance report quality, conduct
rigorous Quality Control (QC), and standardize workflows to accelerate delivery speed.
2. Data Analysis & Statistical Modeling
- Analytical Rigor: Execute meticulous data cleaning, weighting, and tabulation. You
serve as the final gatekeeper for the accuracy of tables and .sav files.
- Complex Modeling: Perform advanced analyses-including Regression,
Segmentation, TURF, Conjoint, and MaxDiff-using SPSS, Q Research Software, or
DisplayR.
- Insight Synthesis: Interpret disaggregated data to provide strategic recommendations
that solve specific client business objectives.
3. Reporting & Visualization
- Dashboarding: Design and maintain dynamic visualizations and automated dashboards
using Power BI or Display R.
- Strategic Collaboration: Partner with senior researchers to interpret data and craft
high-impact client reports and presentations.
4. Agile Project & Stakeholder Management
- Multi-Project Handling: Independently manage the analytical workstreams for multiple
projects simultaneously, ensuring all data is delivered on time and within budget.
- Stakeholder Liaison: Interact with diverse internal and external stakeholders across the
global Nielsen network to ensure project alignment and technical excellence.
Who You Are
- Experience: 4-7 years in market research or data analytics, with a heavy focus on
quantitative methodologies.
- Sports Enthusiast: You live and breathe sports. You understand the nuances of
international events, teams, leagues, and the economics of sponsorship.
- Technical Mindset: You are a proactive problem-solver who thinks laterally and thrives
in an agile, dynamic team environment.
- Education: Bachelor’s degree or higher in a subject requiring advanced mathematical
analysis and high-level communication skills.
Technical Toolkit
Category Skills & Tools
Statistical Software - SPSS, Q Research Software, or DisplayR
Survey Scripting - Tivian, Decipher, Qualtrics, or similar enterprise platforms
Visualization - Power BI, DisplayR or Tableau
Data Mastery - Expert Excel (Pivot tables, Macros, Advanced Formulae)
Programming (Plus) SQL, R, or Python
The Winning Edge (Preferred)
- AI Certification: A recognized certification in Artificial Intelligence or Machine
Learning is a significant advantage.
- Project Tools: Familiarity with Monday.com for capacity planning and project tracking.
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