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Strong employer and metro location but niche market-research specialization reduces broad applicant competition.
Survey-methodology specifics limit cross-industry transfer, though statistical tools and processing skills remain transferable.
Explicit 5–10 years, market-research data processing experience and mandatory tool proficiency make filters stringent.
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Manage and deliver quantitative research workstreams including fieldwork execution, sampling, quotas, timelines, and vendor coordination across multiple markets.
Own data quality checks and data processing, transforming raw survey data into clean, analysis-ready datasets while applying structured QC frameworks and logic checks.
Collaborate with global teams to ensure research requirements are operationalized and advise on data structure, weighting, and analytical approaches for downstream research needs.
5–10 years’ experience in market research agency or in-house role focused on quantitative research data processing and analysis.
Bachelor’s degree in Statistics, Mathematics, Economics, Engineering, Computer Science, Data Science, or related field, or equivalent practical experience.
Strong hands-on experience with data processing and statistical tools such as SPSS, Q, or R.
Experience managing multi-market or regional studies and familiarity with questionnaire logics (skip, piping, randomization, quotas, validations).
Experienced in managing end-to-end quantitative research operations with ownership of fieldwork and data processing workstreams in global/regional contexts.
Skilled in applying analytical judgment to detect patterns, risks, and data quality issues within complex datasets and collaborating with multi-functional teams.
Comfortable balancing speed with data rigor, proactively identifying data issues while maintaining high accuracy and quality standards.