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For Companies At a Glance
- Tasks: Lead data analysis and drive data-informed decisions across teams at Plum.
- Company: Join Plum, a smart saving and investing app with over 2 million users.
- Benefits: Enjoy stock options, private health insurance, flexible remote work, and generous holiday.
- Other info: Be part of a fun, inclusive culture with excellent career growth opportunities.
- Why this job: Make a real impact on financial growth while mentoring and guiding fellow analysts.
- Qualifications: 7+ years in data analysis, A/B testing, and strong SQL, dbt, and Python skills.
The predicted salary is between 70000 - 90000 £ per year.
Hey, we’re Plum, your smart saving and investing app on a mission to help grow money for life. Since 2016, over 2 million people in 10 European markets have set aside more than £2 billion with our clever automation and AI – that’s the magic of Plum! As recognition for our work, we’ve received awards from the likes of Deloitte, Finder, and more. That’s all down to our passionate team of 200+ Plumsters, who work around Europe to help us achieve our mission. And now we’re looking for more brilliant people to join us on our journey!
About the Role
We are looking for an exceptional Lead/Staff Data Analyst, who is excited about Plum’s mission, to join as a company-wide analytics leader. You will help expand the value we deliver across Plum through defining data standards, championing best experimentation practices, and driving data-informed decision making across teams.
What you’ll be doing
- You will define and evolve Plum’s analytics strategy, including ownership of core metrics, experimentation standards, and measurement frameworks across the company.
- You will mentor and guide Data Analysts embedded in product squads, helping raise the quality and impact of their work, while partnering closely with the Data Platform and Machine Learning teams.
- You will lead high-impact, cross-functional projects (e.g. growth, retention, monetisation, or product optimisation), from problem definition through to insight and recommendation.
- You will regularly partner with senior leadership across product, engineering, design, finance, marketing and ops to influence decisions with data and shape product and business strategy.
What we’re looking for
- You have 7+ years in a quantitative role, with deep experience in A/B testing, causal inference, and translating data into business impact, and you are comfortable working with tools like SQL, dbt, and Python.
- You are an experienced mentor, raising the bar for analytics through best practices, frameworks, and standards.
- You are excited about working on ambiguous problems in a fast-paced environment.
- You are able to connect data to product and business strategy, uncovering actionable insights about our customers.
Plum Perks
- We own part of the company through stock options.
- Private health insurance.
- Annual training budget.
- Plum Premium.
- Referral scheme: earn competitive rewards.
- Flexible approach to remote working: we encourage at least 2 days a week in one of our beautiful offices in London, Athens or Cyprus.
- Team breakfasts and lunches.
- 25 days holiday + bank holidays.
- 45 work-from-anywhere days: giving you the flexibility to work your way.
- 2 weeks sabbatical after 4 years to take the break you deserve.
- Enhanced parental leave.
- 1 paid volunteering day annually.
- Annual team trip to a surprise destination.
- A fun, inclusive company culture.
Plum is an Equal Opportunity Employer. Plum does not discriminate on the basis of race, religion, sex, gender identity, sexual orientation, non-disqualifying physical or mental disability, national origin or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit and business need.
Lead/Staff Data Analyst employer: Plum Fintech
Contact Detail:
Plum Fintech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead/Staff Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current or former Plumsters on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into Plum’s mission and values. Show us how your experience aligns with our goals, especially in data-driven decision making. We love candidates who are genuinely excited about what we do!
✨Tip Number 3
Don’t just talk about your skills; demonstrate them! Bring examples of your past projects, especially those involving A/B testing and causal inference. We want to see how you’ve made an impact with data in real-world scenarios.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Plum team and contributing to our mission.
We think you need these skills to ace Lead/Staff Data Analyst
Some tips for your application 🫡
Show Your Passion for Data: When you’re writing your application, let your enthusiasm for data shine through! We want to see how excited you are about using data to drive decisions and make an impact at Plum.
Tailor Your Experience: Make sure to highlight your relevant experience in A/B testing, causal inference, and any tools like SQL or Python. We love seeing how your background aligns with what we’re looking for!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the Lead/Staff Data Analyst role.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get you into our hiring process smoothly.
How to prepare for a job interview at Plum Fintech
✨Know Your Data Inside Out
As a Lead/Staff Data Analyst, you’ll need to demonstrate your expertise in A/B testing and causal inference. Brush up on your SQL, dbt, and Python skills, and be ready to discuss how you've used these tools to drive business impact in previous roles.
✨Showcase Your Mentoring Skills
Since mentoring is a key part of the role, think of examples where you've guided others in analytics best practices. Be prepared to share how you’ve raised the quality of work in your team and the impact it had on projects.
✨Prepare for Cross-Functional Collaboration
You’ll be working closely with various teams, so highlight your experience in leading cross-functional projects. Think about specific instances where your data insights influenced product or business strategy and be ready to discuss them.
✨Embrace Ambiguity and Fast-Paced Environments
Plum values adaptability, so come equipped with examples of how you've tackled ambiguous problems in a fast-paced setting. Show your enthusiasm for finding clarity in chaos and how that has led to actionable insights.