Research Manager – Quantitative Hybrid working model (3 days a week onsite) Location: Wandsworth, London
Branding Science is looking for a Quantitative Research Manager to join the EU team.
The role requires a passion for quantitative research, the ability to lead projects and teams, and ideally experience working with pharmaceutical clients.
The person we are looking for is curious and driven to find the story within the data that best answers our clients’ objectives. Creativity in data visualisation and focus on avoiding data overload are essential.
You will work alongside experienced Directors to receive support and training to enhance your career and skills.
This is an exciting opportunity for someone looking to make an impact on patient lives, work on global projects, and learn from industry leaders.
Your responsibilities will include:
1. Leading the day-to-day running of quantitative studies (with support from Associate Directors or Research Directors as needed), ranging from straightforward tracking to complex studies such as segmentation and demand studies.
2. Taking ownership of questionnaire design, final presentation, and coordinating advanced analytics discussions with our experts.
3. Supporting team members in fieldwork coordination, development of tab specifications, tables checking, link checking, etc.
4. Building relationships with clients on existing studies to be seen as a trusted advisor, providing methodology and analysis recommendations (with support from the Director).
5. Providing support or leading qualitative studies when capacity allows.
6. Owning or assisting with the preparation of methodology and sample sections of proposals.
7. Understanding clients’ needs, issues, and concerns, and implementing these across research projects.
8. Growing new business with existing clients when opportunities arise.
Your background and experience:
1. Proven experience in quantitative primary market research and methodologies including segmentation, demand/TPP tests, patient record forms, concept/message testing.
2. Extensive experience in advanced analytical techniques such as Key Driver Analysis, Qsort/MaxDiff, Segmentation, CHAID, and Conjoint.
3. Healthcare experience is preferred but not necessary.
4. Well-versed in the entire market research project lifecycle.
5. Ability to write questionnaires aligned with project objectives, check survey links, manage and troubleshoot fieldwork, coordinate analytics, create analysis plans, and develop clear data stories for PPT presentations.
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