Job
Description
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
