Senior Data Analyst I

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

• 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.

• 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.

• 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.

• 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.

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 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 @ 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.