Quantitative Senior Researcher

Vanilla Recruitment; Town of Mansfield (NY); Hybrid; USD 60,000 - 87,000; Full time

Benefits offered by this job

Employee wellbeing initiatives

25 days holiday

Job summary

Vanilla Recruitment is recruiting a Quantitative Senior Researcher to take ownership of quantitative projects, turning data into commercially relevant insights for a varied client base.

The role requires designing robust methodologies, leading projects end-to-end and translating findings into strategic recommendations. Hybrid working with Nottinghamshire office presence and 25 days holiday are offered.

Qualifications

• Strong experience in quantitative research, ideally in an agency.
• Ability to independently lead quantitative research projects.
• Strong questionnaire design, sampling, survey methodology.
• Experience analysing survey data with Excel, DisplayR/Q or Python.
• Knowledge of correlation, regression and segmentation analysis.
• Experience with Conjoint and MaxDiff is advantageous.
• Strong communication and interpersonal skills.
• Interest in developing quantitative research approaches using behavioural insights.

Responsibilities

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

Skills

Quantitative research

Questionnaire design

Survey methodology

Data analysis

Statistical techniques

Conjoint analysis

MaxDiff

Python

Excel

DisplayR

Tools

DisplayR

Python

Excel

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.

• Working hours: Monday to Friday 9 am – 5.30pm
• 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.