At a Glance
- Tasks: Lead analytics strategy, mentor analysts, and drive impactful projects across the company.
- Company: Plum Fintech, a forward-thinking fintech company in Greater London.
- Benefits: Flexible work, stock options, health insurance, and generous holiday policies.
- Other info: Join a collaborative team with opportunities for professional growth and mentorship.
- Why this job: Shape the future of analytics while making a real impact in a dynamic environment.
- Qualifications: 7+ years in quantitative roles, skilled in A/B testing, SQL, dbt, and Python.
The predicted salary is between 70000 - 105000 £ per year.
Plum Fintech in Greater London is seeking an exceptional Lead/Staff Data Analyst to join as a company-wide analytics leader. You will define and evolve Plum’s analytics strategy, mentor Data Analysts, and lead high-impact cross-functional projects.
The ideal candidate has 7+ years of experience in quantitative roles, is skilled in A/B testing and causal inference, and proficient with SQL, dbt, and Python.
Plum offers a flexible work environment with various perks including stock options, health insurance, and generous holiday policies.
Lead Data Analyst — Strategy, Mentorship & Impact employer: Plum Fintech
Contact Detail:
Plum Fintech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst — Strategy, Mentorship & Impact
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Plum Fintech on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best data analysis projects, especially those involving A/B testing and causal inference. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on SQL, dbt, and Python. We can find plenty of resources online to help us ace those coding challenges.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our application to highlight how our experience aligns with Plum's analytics strategy.
We think you need these skills to ace Lead Data Analyst — Strategy, Mentorship & Impact
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your 7+ years in quantitative roles and any relevant projects that showcase your expertise in A/B testing, SQL, dbt, and Python.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for the Lead Data Analyst role. Share specific examples of how you've defined analytics strategies or mentored others in your previous positions.
Showcase Your Impact: When detailing your past experiences, focus on the impact you've made in previous roles. Use metrics and outcomes to demonstrate how your work has led to significant improvements or insights.
Apply Through Our Website: We encourage you to apply directly through our website. This way, we can ensure your application gets the attention it deserves and you can easily keep track of your application status.
How to prepare for a job interview at Plum Fintech
✨Know Your Numbers
As a Lead Data Analyst, you'll need to showcase your quantitative skills. Brush up on A/B testing and causal inference techniques, and be ready to discuss how you've applied these in past roles. Prepare specific examples that highlight your analytical prowess.
✨Master SQL and Python
Since proficiency in SQL and Python is crucial for this role, make sure you can demonstrate your expertise. Consider preparing a mini-project or case study that showcases your ability to manipulate data and derive insights using these tools.
✨Showcase Your Mentorship Skills
Plum is looking for someone who can mentor other Data Analysts. Think about your past experiences in guiding others and be prepared to share how you've helped team members grow. Highlight any training sessions or workshops you've led.
✨Understand Plum's Analytics Strategy
Before the interview, research Plum Fintech’s current analytics strategy and think about how you can contribute to its evolution. Be ready to discuss your vision for their analytics approach and how you would lead high-impact projects across teams.