Back
Tier-1 brand, mid-level (5+ years) requirement, and metro location increase applicant competition.
Survey-focused tools and workflows moderately limit direct cross-industry transferability.
Mandatory 5+ years and required SPSS/R/statistical tool experience enforce strict screening filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own end-to-end quantitative data processing for global primary market research projects, ensuring datasets are clean, structured, and analysis-ready.
Perform data cleaning, validation, transformations, and produce standard analytical outputs according to defined templates and quality standards.
Collaborate with fieldwork, programming, and visualization teams to ensure data consistency and resolve dataset issues for downstream analysis.
Minimum 5 years of experience in quantitative research data processing within a research agency or in-house role.
Bachelor’s degree in Statistics, Mathematics, Economics, Engineering, Computer Science, or related field, or equivalent practical experience.
Mandatory hands-on experience with statistical/data processing tools such as SPSS, Q, R, Excel, DisplayR, or similar.
Work Experience Required: At least 5 years in quantitative research data processing.
Experienced in managing multiple datasets and delivering high-quality, well-documented quantitative research data products under tight deadlines.
Proficient in applying data quality checks and standard data transformations in multi-market or regional study contexts.
Comfortable operating in collaborative, fast-paced environments supporting cross-functional teams with data processing and analytics outputs.