Senior Data Analyst I

Nielsen Holdings Plc; India; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Nielsen Holdings Plc in India is seeking a Research Senior Data Analyst who bridges data processing and strategic insights. You will manage end-to-end quantitative research, from scripting logic and AI-assisted QC to advanced modeling and dashboarding.

You will lead survey scripting with Tivian/Qualtrics, perform data cleaning and modeling (SPSS, Q Research Software, DisplayR), build dashboards in Power BI, and coordinate with global stakeholders across Nielsen networks.

Qualifications

• 4-7 years in market research or data analytics focusing on quantitative methods.
• Passion for sports and understanding international events and sponsorship economics.
• Proactive problem-solver who thrives in agile, dynamic team environment.
• Bachelor's degree or higher in a subject requiring advanced mathematical analysis.

Responsibilities

• Lead technical design and survey scripting using Tivian, Decipher, Qualtrics or in-house tools.
• Perform quantitative data analysis, weighting, and advanced modeling (Regression, Segmentation, TURF, Conjoint, MaxDiff).
• Create and maintain dashboards using Power BI or DisplayR; collaborate on client reports and presentations.
• Manage multiple analytical workstreams and liaise with global stakeholders across Nielsen network.

Skills

Market research

Data analytics

Quantitative methodologies

Sports analytics

Statistical modeling

Communication

Education

Bachelor's degree or higher in a quantitative field

Tools

SPSS

Q Research Software

DisplayR

Tivian

Decipher

Qualtrics

Power BI

Tableau

Excel

SQL

R

Python

Job description

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.

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, 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.

Additional Information

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 nielsen.com 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 @ nielsen.com 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.

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