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- Tasks: Analyse marketing data to drive decisions and enhance performance.
- Company: Join Plum, a leading smart saving and investing app with a vibrant team.
- Benefits: Enjoy stock options, private health insurance, and flexible working arrangements.
- Why this job: Make a real impact in a fast-paced environment while growing your career.
- Qualifications: 2+ years of analytical experience, strong SQL skills, and familiarity with marketing analytics.
- Other info: Experience a fun, inclusive culture with exciting team trips and generous holiday allowances.
The predicted salary is between 36000 - 60000 £ 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 Marketing Data Analyst, who is excited about Plum’s mission, to join our Marketing team. You will help expand the value we deliver across Plum through data-driven decision making.
What you’ll be doing:
- Provide data support across the Marketing Team, with an increased focus on performance and lifecycle marketing.
- Lead insights projects around return-on-investment, segmentation and produce actionable analyses.
- Own measurement & attribution: you will collaborate with the marketing team on how to track and quantify the growth different channels drive and how it is measured and controlled for incremental effects.
- Build and maintain data models in your space using BigQuery and dbt.
What We Look For:
- You are excited to work in a fast-paced environment and contribute to Plum’s mission!
- You have a proven track‑record of 2+ years, demonstrating strong analytical skills, ideally in a marketing team.
- You are impact-driven and are able to balance quality and speed.
- You have strong SQL skills and ideally Python / R. Bonus: dbt.
- You are experienced with data visualisation tools, e.g. Looker, Tableau.
- Familiarity with marketing analytics and causal inference.
What’s in it for you:
- Own part of the company you're helping grow through stock options.
- Private health insurance.
- Annual training budget.
- Plum Premium for free.
- Competitive referral scheme.
- Hybrid working: 2 days a week connecting in our beautiful offices in London, Athens, or Cyprus.
- Team breakfasts and team lunches.
- 25 days holiday + bank holidays.
- 45 work-from-anywhere days to give you 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 (think 🦄🌈💯).
If you think this sounds like a bit of you then don’t hesitate to get in touch!
Marketing Data Analyst employer: Plum
Contact Detail:
Plum Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing 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 about the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by diving deep into Plum’s mission and values. Show us how your skills as a Marketing Data Analyst align with our goals – we love candidates who are genuinely excited about what we do!
✨Tip Number 3
Don’t just talk numbers; bring your data stories to life! Use real examples from your past work to demonstrate how your analytical skills have driven results. We want to see your 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 us you’re serious about joining the Plum team!
We think you need these skills to ace Marketing Data Analyst
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for Plum's mission shine through! We want to see that you’re genuinely excited about helping people grow their money and how you can contribute to that journey.
Tailor Your CV: Make sure your CV is tailored to the Marketing Data Analyst role. Highlight your analytical skills and any relevant experience in marketing analytics. We love seeing how your background aligns with what we do at Plum!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that gets straight to the good stuff!
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 shows you’re keen to join the Plum team!
How to prepare for a job interview at Plum
✨Know Your Data Tools
Make sure you brush up on your SQL skills and get familiar with BigQuery and dbt. Plum is looking for someone who can hit the ground running, so being able to discuss your experience with these tools will show that you're ready to contribute from day one.
✨Showcase Your Analytical Skills
Prepare examples of how you've used data to drive marketing decisions in the past. Whether it's through segmentation or measuring ROI, having concrete examples will demonstrate your analytical prowess and how you can add value to Plum's mission.
✨Understand Plum's Mission
Take some time to really understand Plum’s mission and values. Being able to articulate why you’re excited about helping people grow their money will resonate well with the interviewers and show that you’re genuinely interested in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the marketing team’s current projects or challenges they face. This not only shows your interest in the role but also gives you a chance to demonstrate your knowledge of marketing analytics and causal inference.
