Senior Data Analyst I
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Job Description
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.
Requirements
Department: Data Science, Business Intelligence & Analytics
Function: Other
Experience Level: Not Applicable