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- Tasks: Lead data analysis projects and mentor a team of analysts to drive impactful insights.
- 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: Opportunity for career growth and a unique annual team trip.
- Why this job: Make a real impact on financial growth while working in a fun, inclusive culture.
- Qualifications: 7+ years in data analysis, strong A/B testing skills, and experience with SQL and Python.
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
Contact Detail:
Plum 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 work, especially around A/B testing and causal inference. We want to see how you’ve turned data into actionable insights that made a real impact.
✨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 our team at Plum!
We think you need these skills to ace Lead/Staff Data Analyst
Some tips for your application 🫡
Show Your Passion for Data: When 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 improve our products. Share specific examples of how you've made an impact in previous roles.
Tailor Your Application: Make sure to customise your application to fit the Lead/Staff Data Analyst role at Plum. Highlight your experience with A/B testing, causal inference, and any tools like SQL or Python that you've used. This will show us that you understand what we're looking for!
Be Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. Remember, less is often more!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about Plum and our culture!
How to prepare for a job interview at Plum
✨Know Your Data Inside Out
Make sure you’re well-versed in the key metrics and data standards relevant to Plum. Brush up on your A/B testing and causal inference skills, as these will likely come up during the interview. Being able to discuss how you've used data to drive business impact in previous roles will definitely impress.
✨Showcase Your Mentoring Skills
Since the role involves mentoring other Data Analysts, be prepared to share examples of how you've guided others in the past. Talk about specific frameworks or best practices you've implemented that have raised the quality of analytics in your team.
✨Prepare for Cross-Functional Collaboration
Plum values collaboration across various teams, so think of examples where you've worked with product, engineering, or marketing teams. Highlight how you’ve influenced decisions with data and shaped strategies, as this will demonstrate your ability to connect data insights to broader business goals.
✨Embrace Ambiguity
The job description mentions working on ambiguous problems, so be ready to discuss how you approach uncertainty in data analysis. Share instances where you’ve tackled complex issues and how you derived actionable insights from them, showcasing your problem-solving skills.