- Build strong relationships with stakeholders and understand their business needs and challenges
- Identify proper sources and channels of data collection
- Ensure that the identified data sources make sense in terms of requirement ecosystem
- Manage important parts of research project, including survey design, data collection, compliance, quality assessment
- Analyzing market trends/factors and interpreting statistical results using quantitative techniques
- Serve as research and evaluation lead for various market analysis, program evaluation, and qualitative research work
- Work with clients and internal departments on the facilitation of different data sets
- Provide on-site research and evaluation consultation support for site visits, trainings
- Present as subject matter expert and report owner at meetings
- Design and execute qualitative research projects to support marketing, product, and cross-functional teams on a wide variety of domains, including customer needs, segmentation, product design, and customer communications
- Define research methodology and effectively turn insights into actionable recommendations
- Conduct strategic market research as requested and required on competitors, targeted customers, industry trends, and available resources to make recommendations on market approaches
- Continuously monitor the market evolution, pre-empt/forecast market dynamics, and provide in depth recommendations to the business on how to act
- Extract, analyze and interpret continuous data for the cluster and synthesize into a clear and compelling story that drives action
Requirements (Qualifications / Experience / Competencies)
- Proven ability in designing and executing, often complex, research projects to address various business topics, across customer satisfaction/loyalty, attitudes/behaviors, product development, brand positioning, usability, customer journey, messaging/value proposition, social media listening
- Strong skills in conducting descriptive statistics (e.g., frequency, cross-tabulation, significance testing, analysis of variance, correlations) and knowledge of advanced analytics (e.g., logistic regressions, factor analysis, cluster analysis, conjoint design, max-diff)
Preference
- Proven hands-on technical skills including an analytical package (R, Matlab, SAS, Weka) big data processing tools (Hadoop, Java)
- Advanced working experience and application of SAS, STATA, and/or analysis programs
- Documented experience of support in writing, pursuing, and winning business development efforts
- Significant documented publication and presentation experience
- Solid knowledge and experience with a broad array of research methodologies
General Skills
- Fluency in English, written and spoken.
- Excellent communication skills to deliver strong messages and presentations to high level management
- Energetic, self-motivated and has a positive attitude
