Senior Data Analyst I

Posted Yesterday
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Bengaluru, Karnataka, IND
In-Office
Senior level
Digital Media • Information Technology • Analytics
Nielsen is where AI-powered, globally connected media intelligence is being reimagined.
The Role
Leads quantitative sports research projects from survey scripting and study implementation through data cleaning, weighting, statistical modeling, dashboarding, and client reporting. Uses SPSS, Q Research Software, DisplayR, Power BI, and related tools to perform regression, segmentation, TURF, conjoint, and MaxDiff analyses. Manages multiple analytical workstreams, applies AI-enhanced quality control, synthesizes insights, and collaborates with global stakeholders.
Summary Generated by Built In
Company Description

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.

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.

Skills Required

  • 4-7 years of experience in market research or data analytics, with a strong focus on quantitative methodologies
  • Strong understanding of sports, including international events, teams, leagues, and sponsorship economics
  • Bachelor's degree or higher in a subject requiring advanced mathematical analysis and high-level communication skills
  • Experience with SPSS, Q Research Software, or DisplayR
  • Experience with Tivian, Decipher, Qualtrics, or similar enterprise survey scripting platforms
  • Experience with Power BI, DisplayR, or Tableau
  • Expert Microsoft Excel skills, including pivot tables, macros, and advanced formulas
  • SQL, R, or Python programming experience
  • Recognized certification in Artificial Intelligence or Machine Learning
  • Familiarity with Monday.com for capacity planning and project tracking

Nielsen Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nielsen and has not been reviewed or approved by Nielsen.

  • Parental & Family Support — Paid parental leave is described as generous for all parents, with birthing parents receiving substantially longer time, and the program is complemented by adoption, fertility, and surrogacy support. Employer-verified entries and company communications consistently highlight family benefits as a standout.
  • Leave & Time Off Breadth — Paid time off is considered solid, with some teams using flexible or unlimited PTO models and additional offerings like paid volunteer time. These time-away policies often contribute meaningfully to work-life balance.
  • Wellbeing & Lifestyle Benefits — Smart Work flexibility, an Employee Assistance Program, and broader well-being initiatives are emphasized as part of a holistic package. These elements are frequently cited as strengths that enhance day-to-day experience.

Nielsen Insights

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The Company
HQ: New York, NY
Year Founded: 1925

What We Do

For over 100 years, Nielsen has been a global leader in audience measurement, data and analytics, shaping the future of media. Measuring behavior across all channels and platforms to discover what audiences love, we empower our clients with trusted intelligence that fuels action. As the global media industry continues to evolve, Nielsen will be at the forefront of delivering audience insights that empower marketers and content developers, and ultimately help connect consumers to what matters most to them. We will be guided by our values of inclusion, courage and growth; and we will continue to innovate our products and technology while investing in our talent to drive sustainable and scalable long-term growth.

Why Work With Us

At Nielsen, we have big dreams and aspirations, all of which are achievable if we work as a team. Our culture helps us come together and clarifies how we work together to achieve these goals

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