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- Tasks: Lead major research projects and enhance analytics capabilities with statistical analyses.
- Company: A leading analytics firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, professional development, and a collaborative work environment.
- Why this job: Make a real impact by driving analytics research and setting best practices.
- Qualifications: Over 3 years of experience in analytics or research, proficient in R or Python.
- Other info: In-office role, working 4 days a week with excellent career growth opportunities.
The predicted salary is between 42000 - 84000 £ per year.
A leading analytics firm in Greater London is seeking a Research Manager to enhance analytics capabilities. You will lead major research projects and set best practices while running statistical analyses and managing survey data.
The ideal candidate has over 3 years of experience in analytics or research, strong proficiency in R or Python, and the ability to independently manage research projects. This role is predominantly in-office, requiring you to work 4 days a week.
Lead Analytics Research Manager: Insight Modelling & Automation in London employer: Focaldata
Contact Detail:
Focaldata Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Analytics Research Manager: Insight Modelling & Automation in London
✨Tip Number 1
Network like a pro! Reach out to folks in the analytics field on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving R or Python. We want to see your analytical prowess in action, so make sure it’s easy to access and visually appealing.
✨Tip Number 3
Prepare for interviews by practising common questions related to research management and statistical analysis. We recommend doing mock interviews with friends or using online platforms to boost your 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 noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Lead Analytics Research Manager: Insight Modelling & Automation in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in analytics and research. We want to see how your skills in R or Python can shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share specific examples of how you've led research projects and set best practices in your previous roles.
Showcase Your Statistical Skills: Since this role involves running statistical analyses, be sure to mention any relevant methodologies or tools you’ve used. We love seeing candidates who can demonstrate their analytical prowess!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Focaldata
✨Know Your Analytics Inside Out
Make sure you brush up on your analytics knowledge, especially in R or Python. Be prepared to discuss specific projects where you've used these tools, and how they contributed to the success of your research.
✨Showcase Your Project Management Skills
Since this role involves managing research projects independently, come ready with examples of how you've successfully led similar projects. Highlight your ability to set best practices and how you’ve navigated challenges along the way.
✨Prepare for Statistical Analysis Questions
Expect questions that dive deep into statistical analyses. Review key concepts and be ready to explain your thought process when analysing survey data. This will show your analytical thinking and problem-solving skills.
✨Demonstrate Your Team Collaboration
Even though you'll be leading projects, collaboration is key. Share experiences where you've worked with cross-functional teams, and how you ensured everyone was aligned towards common goals. This will highlight your leadership and teamwork abilities.
