Data Analyst

At Plum, we're on a mission to maximise wealth for all. We’re making saving money effortless and turning investing into something everyone can do.

Our journey began back in 2017, when we became one of the first to use artificial intelligence and automation to simplify personal finance. Fast forward to today, and we've already helped people save £2 billion across 10 European markets.

Named the UK's fastest-growing fintech in the Deloitte Technology Fast 50, our success is down to the passion and dedication of our diverse team. Based in our London, Athens and Nicosia offices, 170 talented people work together to empower people to do more with their money. And now, the team is growing!

About the Role

We are looking for an exceptional Data Analyst to join the team and help expand the value we deliver across Plum.

You will be part of a well established Product Analytics team, consisting of Data Analysts embedded across Product, Marketing and Operations, supporting the companies decision making through data.

What will you do

• Become domain expert across an area at Plum, establishing yourself as the point of contact for analytical support.
• Help the teams you work with identify the opportunities (new features, products, bugs etc) they should focus on, by linking these to impact on the metrics of interest.
• Propose and define success KPIs and guide the teams towards data-driven decision making around these.
• Work closely with Product Managers, Engineers and Marketeers at Plum to impact size opportunities and estimate the impact these had once released.
• Produce deep dive analysis that influence the trajectory of the team’s roadmap.
• Data modelling and analysis of key concepts, KPIs and patterns using dbt, BigQuery and SQL.
• Create interactive and informative dashboards and reports in Looker.
• Plan, implement, and analyse A/B tests to evaluate the impact of new product features against KPIs.
• Most importantly, you will have the opportunity to work on a modern Data platform (BigQuery, Looker, dbt), surrounded by an eclectic team of great Data professionals covering areas such as Product Analytics, Data Science and Data & Analytics Engineering.

Who you are

• You have strong analytical intuition with a demonstrated ability to solve complex problems and extract actionable insights from data.
• You demonstrate ability to work independently and with rigour, whilst optimising for impact.
• You can collaborate effectively within cross-functional teams (Product, Engineering, Design, Marketing), translating business requirements into strong technical solutions.
• You value attention to detail and know how to balance quality and speed.
• You are impact driven, love a challenge, and have a self-starter mindset.
• You’re team-oriented, keen to share your knowledge and grow professionally.
• Previous experience on Fintech, B2C digital businesses and/or fast-paced scale-up environments is very valued.

Plum's Perks

• We're all in this together! Own part of the company through stock options 💷
• Annual training budget
• Private Health & Life Insurance
• Free Plum Premium subscription (normally £9.99 a month)
• Free parking slots
• 25 days holiday a year, excluding public holidays
• Employee referral scheme up to €4000
• Flexible approach to remote working, though we encourage at least 2-3 days a week in our beautiful office in central Athens for optimal collaboration
• 45 days work from anywhere
• Team breakfast on Tuesdays and team lunch on Thursdays in the office, as well as a plentiful supply of fruit, snacks and coffee
• 1 day paid leave for volunteering, supporting you giving back to society
• 2 weeks paid sabbatical after four years of service
• Team trip to secret destinations once a year ✈️
• Great office location in the heart of Athens (Syntagma square), with an amazing view!
• A vibe that’s 🦄🌈💯

If you think this sounds like a bit of you then don’t hesitate to get in touch!

Thanks,

Plum Τeam 💜

*Plum is an Equal Opportunity Employer. Plum does not discriminate on the basis of age, 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.