The Market Research Analyst is responsible for surveying customer preferences and statistical data in order to support the marketing department in delivering effective campaigns. The Market Research Analyst will analyze autonomously qualitative data, trends, strategies, and competition aiming at increasing competitiveness.
Conduct and execute statistical analyses, as determined by investigators research studies, using statistical software (e.g. SAS, STATA, R) including multivariable regression analysis and approaches to missing data.
Analyzing competitive dynamics within the wireless semiconductor industry by combining companys proprietary point-of-sale data with product teardowns, costing benchmarks, and primary / secondary research.
This position will act as a single point of contact for the Research and Development Teams in providing scientific data management and operations analytical support. Key responsibilities include management of lab services, scientific records management, CAPex management and other projects related to the Team.
Create and maintain data visualization products for the R&E team for outreach, press release, and marketing purposes. Data visualization products include presentations, infographics, reports, dashboards, animated videos, etc.
The Research Analyst will provide evaluation and research support to the Research and Evaluation Division and requires in - depth knowledge of and experience with data management, analysis and reporting.
Plan and report all analysis efforts as required including definition of the problem, scientific/engineering assumptions, study limitations or constraints, mathematical models, computer-based algorithms and procedures for deriving solutions and validation of the models, reporting the results to the customer.
The market research analyst is responsible for coordinating research, collecting and analyzing data on industry trends, client demographics, preferences, needs and buying habits to identify factors affecting product demand, pricing, sales and marketing efforts.
Partner cross-functionally with capacity engineering, hardware engineering, network engineering, connectivity programs, data science, finance, technical program management, and other product / engineering teams to develop thoughtful analyses and deliver key insights for production and non-production Infrastructure development.