Senior Data Analyst I

Nielsen; Bengaluru; Vor Ort; INR 900.000 - 1.300.000; Vollzeit

Zusammenfassung

Nielsen in Bengaluru seeks a Research Senior Data Analyst to bridge technical data processing and strategic insights. You will own end-to-end quantitative research, from scripting logic and AI-enhanced QC to advanced statistical modeling and dashboarding.

You will design online surveys using Tivian/Decipher/Qualtrics, perform rigorous data cleaning and modeling (Regression, Segmentation, TURF, Conjoint, MaxDiff) and deliver high-impact client reports with Power BI dashboards.

Qualifikationen

• 4–7 years in market research or data analytics with quantitative focus.
• Strong statistical and data manipulation skills.
• Experience with survey scripting and dashboarding tools.
• Bachelor’s degree or higher in a quantitative field.

Aufgaben

• Lead scripting of complex online surveys and study implementation across markets.
• Perform data cleaning, weighting, and advanced modeling (Regression, Segmentation, TURF, Conjoint, MaxDiff).
• Design dynamic visualizations and dashboards using Power BI/DisplayR; craft client-ready reports.
• Manage multiple analytics workstreams and coordinate with global stakeholders.

Kenntnisse

Analytical mindset

Technical mindset

Sports enthusiasm

Proactive problem-solving

Ausbildung

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

Jobbeschreibung

Job 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.

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.