Data Analytics Manager
The Consultant will manage the end-to-end execution of primary market research, utilizing both quantitative and qualitative methodologies to generate actionable insights. Responsibilities include survey design, advanced statistical modeling, and thematic analysis to identify unmet market needs and behavioral drivers.
JD - Consultant – Primary Market Research Quantitative Primary Market Research Design and execute advanced quantitative PMR studies, including ATUs, demand estimation, segmentation, conjoint / discrete choice modeling, MaxDiff, message testing, concept testing, and brand tracking studies.
Translate business objectives into robust survey instruments, including screener logic, quota design, rating / ranking scales, trade-off exercises, patient chart modules, allocation exercises, and analysis-ready question structures.
Develop detailed analysis plans covering cross-tabs, statistical significance testing, derived importance, key driver analysis, segmentation profiling, respondent-level modeling, preference share estimation, and sensitivity analyses.
Oversee data quality and analytical rigor across fielding and reporting, including sample validation, straight-liner / speeder checks, outlier review, weighting, data QC, and interpretation of statistically meaningful findings.
Qualitative Primary Market Research
Design and execute qualitative PMR studies, including IDIs, focus groups, advisory boards, online communities, ethnographic research, patient journey research, and hybrid qual-quant research designs.
Develop technically sound discussion guides with structured probes, laddering techniques, behavioral elicitation methods, stimulus testing, concept exposure, message diagnostics, and decision-driver exploration.
Analyze interview transcripts and notes using structured coding frameworks, thematic analysis, respondent archetyping, journey mapping, decision pathway mapping, and unmet-need identification.
Synthesize qualitative findings into evidence-backed insights, distinguishing stated responses from underlying beliefs, motivations, barriers, emotional drivers, and behavioral triggers.
Research Tools, Analytics, and Technology Use analytics and statistical tools such as Excel, Q, or equivalent platforms for data cleaning, analysis, visualization, and advanced modeling.
Apply advanced research analytics including conjoint modeling, MaxDiff analysis, TURF, clustering, factor analysis, regression modeling
Posted July 13, 2026