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- Tasks: Conduct quantitative research to drive product insights and influence design.
- Company: Leading tech company in Greater London with a focus on innovation.
- Benefits: Full-time role with competitive salary and opportunities for impactful research.
- Why this job: Join a dynamic team and make a real difference in product development.
- Qualifications: Relevant degree and experience in statistical analysis and coding.
- Other info: Fast-paced environment that values diverse perspectives.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology company in Greater London is seeking a UX Researcher, specializing in quantitative research methods. This full-time position involves collaborating with product and business teams to conduct end-to-end studies, generating insights to influence product design.
Candidates should have a relevant degree and experience with statistical analysis and coding. The role offers the opportunity to work in a fast-paced environment that values diverse perspectives and promotes impactful research.
Quantitative UX Researcher — Drive Product Insights employer: Meta
Contact Detail:
Meta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative UX Researcher — Drive Product Insights
✨Tip Number 1
Network like a pro! Reach out to professionals in the UX research field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative research projects and insights. We recommend including case studies that highlight your statistical analysis and coding prowess to impress potential employers.
✨Tip Number 3
Prepare for interviews by practising common UX research questions. We suggest doing mock interviews with friends or using online platforms to get comfortable discussing your methodologies and findings.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates. Let’s get you that job!
We think you need these skills to ace Quantitative UX Researcher — Drive Product Insights
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with quantitative research methods and statistical analysis. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about UX research and how your insights can drive product design. Let us know what makes you a great fit for our team.
Showcase Your Coding Skills: Since coding is part of the gig, mention any programming languages or tools you’re familiar with. We love seeing candidates who can blend research with technical skills, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Meta
✨Know Your Quantitative Methods
Brush up on your quantitative research methods before the interview. Be ready to discuss specific techniques you've used, like A/B testing or statistical analysis, and how they influenced product design in your previous roles.
✨Showcase Your Collaboration Skills
Since this role involves working closely with product and business teams, prepare examples of how you've successfully collaborated in the past. Highlight any cross-functional projects where your insights made a significant impact.
✨Prepare for Technical Questions
Expect questions that dive into your coding skills and statistical analysis knowledge. Practise explaining complex concepts in simple terms, as you may need to communicate findings to non-technical stakeholders.
✨Emphasise Diversity and Inclusion
This company values diverse perspectives, so be prepared to discuss how your unique background or experiences can contribute to their team. Share examples of how you've embraced diversity in your research approach.
