Senior Data Analyst I
Nielsen (company site, opens in a new tab)4–7 yrsBengaluruOn-siteDirect career pageEst. 10–18 LPA
Posted 2h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead programming and execution of complex online quantitative sports research studies across multiple markets.
- Perform advanced data cleaning, statistical modeling (Regression, Segmentation, TURF, Conjoint, MaxDiff), and quality control to ensure accuracy of analytical outputs.
- Design dynamic dashboards and collaborate with senior researchers to deliver strategic insights and client reports while managing multiple projects independently.
Minimum Requirements
- Work Experience Required: 4–7 years in market research or data analytics focusing on quantitative methodologies.
- Proficient in statistical analysis software such as SPSS, Q Research Software, or DisplayR and survey scripting tools like Tivian, Decipher, Qualtrics, or similar.
- Bachelor’s degree or higher in a field requiring advanced mathematical analysis and communication skills.
- Expertise in data visualization tools (Power BI, DisplayR) and advanced Excel skills (pivot tables, macros, advanced formulas).
Ideal Candidate Profile
- Experienced in managing multi-market quantitative sports research projects with a strong understanding of sports industry dynamics and sponsorship economics.
- Technically proficient with statistical modeling, survey scripting, and data visualization software, and able to integrate AI tools to enhance workflow efficiency.
- Able to independently manage multiple analytical workstreams and engage effectively with diverse global stakeholders in an agile environment.