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.

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