Job highlights

- Education: Bachelor s degree or higher in a subject requiring advanced mathematical
- AI Certification: A recognized certification in Artificial Intelligence or Machine
- The Winning Edge (Preferred)
- Experience: 4-7 years in market research or data analytics,with a heavy focus on

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. Qualifications

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, energetic 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.

This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Data Analyst I (Bengaluru)
🏢 Nielsen Sports
📍 Bengaluru