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For Companies At a Glance
- Tasks: Support marketing with data insights and drive performance through analysis.
- 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 on financial growth while developing your analytical skills.
- 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 db.
Requirements
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.
Benefits
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.
Marketing Data Analyst in London employer: Plum Fintech
Contact Detail:
Plum Fintech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to current or former Plumsters on LinkedIn and ask them about their experiences. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that showcases your analytical prowess. Bring it along to interviews to demonstrate how you can add value to the Marketing team at Plum.
✨Tip Number 3
Be ready to discuss data! Brush up on your SQL and any relevant tools like Looker or Tableau. Be prepared to talk through your thought process and how you approach data-driven decision making.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our mission at Plum.
We think you need these skills to ace Marketing Data Analyst in London
Some tips for your application 🫡
Show Your Passion for Plum: 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.
Highlight Relevant Experience: Make sure to showcase your analytical skills and any relevant experience in marketing data analysis. We love seeing a proven track record, so don’t hold back on those achievements that demonstrate your impact-driven mindset!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and how they align with what we’re looking for in a Marketing Data Analyst.
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 this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Plum Fintech
✨Know Your Data
Make sure you brush up on your SQL skills and be ready to discuss how you've used data to drive marketing decisions in the past. Be prepared to share specific examples of projects where your analytical skills made a significant impact.
✨Understand Plum's Mission
Familiarise yourself with Plum’s mission and values. Show genuine enthusiasm for helping people grow their money and how your role as a Marketing Data Analyst can contribute to that goal. This will demonstrate that you're not just looking for any job, but that you truly want to be part of Plum's journey.
✨Prepare for Technical Questions
Expect technical questions related to data modelling and analytics tools like BigQuery and dbt. Brush up on your knowledge of marketing analytics and causal inference, as these are key areas for the role. Practising common interview questions can help you feel more confident.
✨Showcase Your Visualisation Skills
Be ready to discuss your experience with data visualisation tools like Looker or Tableau. Prepare to explain how you've used these tools to present data insights effectively to non-technical stakeholders. This will highlight your ability to communicate complex information clearly.
