Key Responsibilities:
Advanced Analytics & Modeling:
- Lead design and execution of advanced quantitative studies, including pricing optimization (Van Westendorp, Gabor Granger, Price Sensitivity Meter) and trade-off experiments (Conjoint, Adaptive Choice-Based Conjoint).
- Perform MaxDiff and TURF analyses to prioritize product attributes and optimize product/message combinations.
- Develop and implement market segmentation schemes using clustering (k-means, hierarchical, latent class) and factor/cluster analysis.
- Conduct driver modeling and predictive analytics (regression, decision trees/CHAID) to identify key factors influencing consumer behavior.
Project Leadership & Client Consulting:
- Manage global market research studies, including study design, data collection oversight, analysis, reporting, and client presentation.
- Act as primary analytics consultant: define objectives, recommend methodologies, present results, and translate findings into strategic recommendations.
- Mentor junior analysts, review deliverables for quality, and collaborate with cross-functional teams to implement insights.
- Support new business initiatives by contributing analytical expertise to proposals and pitches.
Technical & Analytical Expertise:
- Proficiency in R, Python, SPSS, SAS, SQL, and data management/cleaning.
- Experience with analytics and visualization tools such as Tableau or Power BI.
- Strong quantitative market research expertise, including conjoint analysis, discrete choice modeling, MaxDiff, TURF, pricing models, clustering, and regression.
- Comfortable handling large datasets and ensuring data quality.
Competencies:
- Client-focused consulting skills, with the ability to translate analytical results into actionable business insights.
- Critical thinking and problem-solving to address complex research challenges.
- Leadership skills to guide teams and mentor junior members.
- Strong attention to detail and commitment to analytical accuracy.
- Excellent organizational and time management skills to handle multiple projects.
- Adaptability to evolving research methodologies and technologies.
- Ethical handling of consumer data and awareness of data privacy.
