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Tier-1 brand, mid-level generalist title, and metro location increase applicant competition.
Role requires market-research-specific workflows and agency experience, so industry fit is highly sensitive.
Mandatory 5+ years and specific tools (SPSS/R) make shortlisting highly strict.
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Prepare, clean, validate, and structure quantitative survey datasets to produce analysis-ready outputs for global research projects.
Perform quality assurance checks including reviewing data for outliers, missing data, inconsistencies, and validating tabulation plans.
Coordinate with project managers, programming, fieldwork, scripting, and visualization teams to ensure data continuity and quality standards are met.
At least 5 years of experience in quantitative research data processing at a research agency or in-house role.
Bachelor's degree in Statistics, Mathematics, Economics, Engineering, Computer Science, or related field, or equivalent experience.
Mandatory hands-on experience with data processing or statistical tools such as SPSS, Q, R, Excel, DisplayR, or similar.
Location: Gurgaon, India (onsite or location requirement).
Experienced in handling multi-market or regional quantitative research studies, comfortable managing multiple datasets simultaneously.
Methodical and detail-oriented with strong focus on data quality, logic checks, and documentation.
Able to work effectively in fast-paced, deadline-driven environments while maintaining data accuracy and clear communication across teams.