• Full Time
  • Mansfield
  • Jack Chapman8279

Quantitative Senior Researcher

Job Title: Quantitative Senior Researcher
Contract Type:
Location: Mansfield
Industry:
Salary:
Contact Name: Jack Chapman
Job Published:
REF: 8279

Job description:

We’re delighted to be recruiting for a Quantitative Senior Researcher vacancy on behalf of an established business with a highly regarded insight team. This is an excellent opportunity for an experienced researcher to take ownership of quantitative projects, turn complex data into commercially relevant insight and help shape strategic decisions for a varied client base.
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  • Working hours: Monday to Friday 9 am – 5.30 pm
  • Based 2 days a week at the Nottinghamshire office 
  • Employee wellbeing initiatives
  • 25 days holiday

Duties and responsibilities:

  • Design questionnaires, sampling frameworks, quotas and robust research methodologies aligned to client objectives.
  • Manage quantitative research projects, including survey programming, online fieldwork, data processing and analysis. 
  • Apply appropriate statistical techniques to identify meaningful patterns, relationships and customer segments within data. 
  • Integrate survey findings with wider sources including sales, market, qualitative and social media data. 
  • Translate quantitative findings into compelling commercial insights and clear, actionable recommendations for clients and internal stakeholders. 
  • Respond accurately to client queries, clearly communicating recommended research design, findings and opportunities. 
  • Collaborate with account directors, project managers and researchers on proposals and new approaches to research.

Skills and experience required:

  • Strong experience within quantitative research, ideally within an agency environment
  • Proven ability to independently lead quantitative research projects and make informed decisions throughout the research process. 
  • Strong questionnaire design, sampling, survey methodology and quantitative data analysis skills. 
  • Experience analysing survey data using relevant packages such as Excel, DisplayR/Q or Python. 
  • Knowledge of statistical techniques including correlation, regression and segmentation analysis; experience with Conjoint and MaxDiff would be advantageous.
  • Strong communication and interpersonal skills, with the ability to distil complex findings into commercially relevant recommendations. 
  • An interest in developing quantitative research approaches and applying behavioural and psychological principles to customer insight.
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