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Tier-1 brand, metro location, and mid-level managerial role create moderate candidate competition.
Quantitative research skills transfer across industries, but product/digital experience requirement raises domain sensitivity.
Requires specialized quantitative methodologies, data-repository ownership, and specific tooling, making shortlisting highly selective.
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Manage end-to-end quantitative research workstreams across global and regional studies including survey design, fieldwork, data processing, analysis, and reporting.
Own the organization, storage, documentation, and reuse of quantitative research datasets and outputs adhering to ARC standards and data management protocols.
Collaborate with internal teams to improve research asset efficiency, ensure data quality, and contribute to documentation templates and guidelines.
Demonstrated experience in quantitative primary market research within a product, technology, or digital-first organization.
Proven expertise in quantitative research lifecycle including advanced methodologies such as MaxDiff, Conjoint Analysis, Segmentation, and Regression Analysis.
Experience managing quantitative research data repositories, with data organization, documentation, version control, and reuse standards.
Proficiency in SPSS, Q, DisplayR, R or similar quantitative tools, along with Excel, PowerPoint, and Word for analysis and reporting.
Experienced in handling multi-market and longitudinal quantitative datasets in a global or regional context.
Strong operational ownership demonstrated by managing complex data repositories and ensuring research data integrity and accessibility.
Ability to translate complex data into clear, actionable insights and effective client-facing reports aligned with corporate standards.