Title: Analytic Research Manager
Location: TX - Dallas (Remote)
Brand valuation consultancy with specialties in Brand Valuation, Brand Analysis, Brand Strategy, and Brand Transactions is looking for a strong quantitative market researcher to join their team. Market research and brand insights play a critical role in the evaluation and valuation models, and they conduct a wide range of primary and secondary research, including surveys in over 100 countries in the past 12 months. The Senior Research Executive will be working on a 5-person team. The ideal candidate will be in Dallas or Austin, TX but can also be EST or CST time Zone as the HQ is in London.
The Senior Research Executive will be reporting directly to the Research and Insights Director You must be able to write survey's and run analytics using software such as SPSS or similar.
- Manage research projects on a day-to-day basis.
- Writing proposals, questionnaire development, briefing and managing fieldwork or full-service research agencies, collation of non-survey data (e.g., search, social) and appropriate survey and data analysis.
- Management, analysis, and dissemination (internal and external) of two of the company’s largest research programs: Global Brand Equity Monitor, covering 2,500+ brands across 30 countries and Global Soft Power Index nation brand equity, across over 100 countries.
- Work on a wide variety of smaller ad-hoc projects.
- Identify appropriate methods and analysis for each problem at hand
collaboratively with the Insight Director, and individual Strategy and Valuation teams
- Minimum 2 years of experience in B2C or B2B market research
- Q Software or SPSS proficiency
- Strong practical quantitative research experience including commissioning and managing of fieldwork, and analysis/reporting
- An understanding of the role of qualitative research approaches
- An understanding of qualitative research approaches, and how/when to apply them
- Experience of working with multivariate statistical methods, and econometric modelling
- Experience of working with non-survey data – web/search/social