Sr. Data Analyst - Data Analysis

Job description

**We are looking forward to hire Data Analysis Professionals in the following areas :** **:** **Experience required:** 5-7 years - 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 **Our Hyperlearning workplace is grounded upon four principles** - Flexible work arrangements, Free spirit, and emotional positivity - Agile self-determination, trust, transparency, and open collaboration - All Support needed for the realization of business goals, - Stable employment with a great atmosphere and ethical corporate culture