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. As a Research Senior Data Analyst, you will bridge the gap between technical data

research, from scripting logic and AI-enhanced quality control to advanced statistical modeling

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. Complex Modeling: Perform advanced analyses—including Regression,

Segmentation, TURF, Conjoint, and MaxDiff—using SPSS, Q Research Software, or

Interpret disaggregated data to provide strategic recommendations

using Power BI or Display R.

● Partner with senior researchers to interpret data and craft





Agile Project & Stakeholder Management

- Multi-Project Handling: projects simultaneously, ensuring all data is delivered on time and within budget.
- global Nielsen network to ensure project alignment and technical excellence.

Experience: 4–7 years in market research or data analytics, with a heavy focus on
international events, teams, leagues, and the economics of sponsorship.

- in an agile, dynamic team setting.
- Bachelor’s degree or higher in a subject requiring advanced mathematical

analysis and high-level communication skills. 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
AI Certification: A recognized certification in Artificial Intelligence or Machine
Project Tools: Familiarity with Monday.com for capacity planning and project tracking.
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📌 Senior Research Data Analyst (Bengaluru)
🏢 The Nielsen
📍 Bengaluru