Senior Data Analyst I

Nielsen Sports; Bengaluru; Sur place; INR 1 200 000 - 2 400 000; Plein temps

Résumé du poste

Nielsen Sports SA in Bengaluru, India is seeking a Research Senior Data Analyst to bridge technical data processing and strategic insights. You will lead end-to-end quantitative research, from scripting logic and AI-assisted QC to advanced modeling and dashboarding.

You will design surveys across markets, perform rigorous data cleaning and modeling (Regression, Segmentation, TURF, Conjoint), and build dynamic Power BI dashboards while collaborating with senior researchers to deliver high-impact

Qualifications

• 4-7 years in market research or data analytics with a focus on quantitative methodologies.
• Sports enthusiast with understanding of international events, teams, leagues, and sponsorship economics.
• Proactive problem-solver with a technical mindset and ability to thrive in an agile, collaborative environment.
• Bachelor’s degree or higher in a subject requiring advanced mathematical analysis and high-level communication skills.

Responsabilités

• Lead technical design for survey scripting using Tivian, Decipher, Qualtrics, or in-house tools; manage multi-country trackers and ad-hoc projects.
• Perform data cleaning, weighting, and tabulation; validate tables and .sav files as the final quality gate.
• Build and interpret advanced models (Regression, Segmentation, TURF, Conjoint, MaxDiff) using SPSS, Q Research Software, DisplayR.
• Create dynamic dashboards and automated visuals with Power BI or DisplayR; collaborate with senior researchers on client reports.

Connaissances

Quantitative analysis

Statistical thinking

Project management

Communication

Formation

Bachelor's degree in a quantitative field

Outils

SPSS

Q Research Software

DisplayR

Power BI

Tableau

Excel

SQL

R

Python

Description du poste

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.

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.

This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.