At a Glance
- Tasks: Lead quantitative research to enhance user experience across key product areas.
- Company: Good Maven, a forward-thinking company focused on impactful UX research.
- Benefits: Competitive salary, mentorship opportunities, and the chance to shape user interactions.
- Other info: Join a dynamic team dedicated to transforming user experiences.
- Why this job: Pioneer innovative research techniques that influence millions of users daily.
- Qualifications: 8+ years in UX research, expert in quantitative methods, and skilled in Python or R.
The predicted salary is between 80000 - 100000 £ per year.
Good Maven is seeking a Principal Quantitative Researcher to lead the quantitative research agenda across its key product areas. This role requires 8+ years of UX research experience with a strong focus on quantitative methods. You will design and execute robust research strategies, mentor mid-level researchers, and develop frameworks that impact millions of user interactions daily.
The ideal candidate will possess expert-level proficiency in survey methodology and statistical analysis, alongside proficiency in Python or R. This innovative position promises the chance to pioneer user experience insights with cutting-edge research techniques.
Principal Quantitative UX Researcher: Scale & Strategy employer: Good Maven
Contact Detail:
Good Maven Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Quantitative UX Researcher: Scale & Strategy
✨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 role.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your quantitative research projects and methodologies. We want to see your expertise in action, so make sure it’s easy to navigate and visually appealing.
✨Tip Number 3
Prepare for interviews by practising common UX research questions and scenarios. We recommend doing mock interviews with friends or mentors to build confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Principal Quantitative UX Researcher: Scale & Strategy
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your 8+ years of UX research experience, especially focusing on quantitative methods. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in survey methodology and statistical analysis!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about leading the quantitative research agenda at Good Maven. Share specific examples of how you've designed and executed robust research strategies in the past.
Showcase Your Technical Skills: Since proficiency in Python or R is key for this role, make sure to highlight any relevant projects or experiences where you’ve used these tools. We love seeing how you’ve applied your technical skills to real-world problems!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Good Maven
✨Know Your Quantitative Methods
Make sure you brush up on your quantitative research methods before the interview. Be ready to discuss your experience with survey methodology and statistical analysis in detail, as this role heavily relies on these skills.
✨Showcase Your Leadership Skills
Since you'll be mentoring mid-level researchers, prepare examples of how you've successfully led teams or projects in the past. Highlight your ability to guide others and foster a collaborative environment.
✨Demonstrate Your Technical Proficiency
Familiarise yourself with Python or R, as these are crucial for the role. Be prepared to discuss specific projects where you've used these tools to analyse data and derive insights.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about challenges you've faced in previous roles and how you approached them, especially in relation to user experience research.