Senior Data Analyst I

Nielsen · Media, Advertising & Entertainment

Bengaluru, India
On-site
Posted today
Data & AI
Full-time

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About the job

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. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.

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.

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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