Senior Data Analyst I
The Nielsen Company Open At a glance
Senior Data Analysis & BI role at The Nielsen Company. Bengaluru · full-time.
Pay not stated Data Analyst salary
dataroles summary, based on the employer's posting.
What you'll do
- Program complex online surveys and run quantitative sports studies, from single-market assignments to multi-country trackers
- Clean, weight and tabulate research data, then verify the accuracy of tables and .sav files
- Apply regression, segmentation, TURF, conjoint and MaxDiff to turn detailed data into client recommendations
- Build automated dashboards and work with senior researchers on client reports and presentations
- Run analysis across several projects at once, coordinating with stakeholders and meeting delivery and budget targets
What you bring
- Four to seven years in market research or data analytics, with substantial quantitative methods experience
- A bachelor's degree or higher in a field involving advanced math and strong communication skills
- Hands-on ability with statistical analysis and survey scripting platforms, plus expert-level Excel skills
Who this fits
This role suits a quantitatively focused analyst with a strong interest in sports, including international events, teams, leagues and sponsorship economics. It is based onsite in Bengaluru and involves independently handling analytical work across multiple projects.
From the employer
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
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.
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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