At a Glance
- Tasks: Join our analytics team to build data-driven products and improve customer experiences.
- Company: Pleo is revolutionising company spending, making it automated and accessible for all employees.
- Benefits: Enjoy flexible remote work, private health insurance, 25 days holiday, and a Pleo card for expenses.
- Why this job: Be part of a diverse team shaping the future of work with a focus on innovation and collaboration.
- Qualifications: Experience in analytics and engineering, proficient in SQL, dbt, BigQuery, and Looker.
- Other info: We value diversity and encourage applicants from all backgrounds to apply.
The predicted salary is between 43200 - 72000 £ per year.
We are searching for a talented and experienced Senior Full Stack Data Analyst to join our growing analytics team. You’ll be partnering closely with product teams across Pleo to unlock value from our rich data to build great products and drive growth. Your data expertise and insight generations will directly influence key product decisions, driving significant growth and improving the experience of our customers.
You will thrive in this role if you:
- Are an experienced data practitioner with a dual background in analytics and analytics engineering within a fast-paced environment, preferably fintech.
- Possess expert technical skills and experience with tools such as advanced SQL, dbt, BigQuery, Looker (and LookML).
- Have a customer-centric approach to solving business problems, using data to improve customer experience.
- Are passionate about building high-quality, robust, and user-friendly dashboards and tools for diverse stakeholders.
- Like to be involved in both engineering excellent products and understanding business and product challenges with analytics.
- Demonstrate a strong sense of ownership and responsibility for your work, with the ability to manage and deliver on multiple projects with close attention to detail.
- Are highly familiar with CI/CD processes and understand their importance in maintaining data integrity.
What will you be doing:
- Building end-to-end analytics solutions, using data modelling, analytics techniques and data visualisation to power Pleo.
- Conducting in-depth analysis of user behavior and product performance data to identify key trends, opportunities, and risks, and translating those findings into actionable insights.
- Designing, implementing, and analyzing A/B tests and other experiments to optimize product features and improve user engagement, ensuring statistical rigor and validity.
- Identifying and delivering scalable methods of providing self-serve product analytics empowering product teams to make data-driven decisions that lead to faster iteration cycles and improved product outcomes.
- Contributing to identification, development and delivery of data-driven products.
- Engaging with data colleagues and peers to foster a culture of cross-team learning and knowledge sharing.
Your colleagues say you:
- Are an effective bridge-builder who creates strong partnerships across data, engineering, product, and business teams.
- Balance innovation and pragmatism, knowing when to go deep and when to deliver quickly.
- Are a trusted mentor who uplifts and develops those around you.
- Actively seek and share knowledge, contributing to a culture of continuous learning.
- Have a knack for bringing people together and aligning them towards shared goals.
- Are someone they’d love to have coffee with (virtual or not).
Show me the benefits!
- Your own Pleo card (no more out-of-pocket spending!)
- Lunch is on us - with catering in our Lisbon and London offices, or a monthly lunch allowance paid directly together with your salary in other markets.
- Private health insurance to ensure you’re fit in body and mind to do your best work.
- We offer 25 days of holiday + your public holidays.
- Flexibility/remote working options.
- Option to purchase 5 additional days of holiday through a salary sacrifice.
- We’re trialling MyndUp to give our employees access to free mental health and wellbeing support with great success so far.
- Access to LinkedIn Learning - acquire new skills, stay abreast of industry trends and fuel your personal and professional development continuously.
- Paid parental leave - we want to make sure that we’re supportive of families and help you feel that you don’t have to compromise your family due to work.
Why join us?
Working at Pleo means you’re working on something very exciting: the future of work. Our mission is to help every company go beyond the books. Pleo itself means ‘more than you’d expect’, and it’s been the secret to our success over the last 8 years. So it’s only fitting that we’d pass this philosophy onto our customers to help them make the most of their finances.
We think company spending should be delegated to all employees and teams, that it should be as automated as possible, and that it should drive a culture of responsible spending. Finance teams shouldn’t be siloed from the rest of the organisation – they should work in unity with marketing, sales, IT and everyone else.
Speaking of working in unity, our values tell the story of how we work at Pleo. We have four core values, the first of which is ‘champion the customer’, which means we address real pain points that businesses face. Next up is ‘succeed as a team’, which highlights how our strength lies in our diversity and trust in each other. We also ‘make it happen’ by taking bold decisions and following through to deliver results. Last but not least, we ‘build to scale’, creating lasting solutions that address today’s challenges and anticipate tomorrow’s needs.
So, in a nutshell, that’s Pleo. Today we are an 850+ team, from over 100 nations, sitting in our Copenhagen HQ, London, Stockholm, Berlin, Madrid, Montreal and Lisbon offices —and quite a few full-time remotes in 35 other countries! Being HQ’d out of Copenhagen means we’re inspired by things like a good work-life balance. If you don’t work in the office with us, we’ll help you set up the best remote setup possible and make sure you still have time to connect with your team.
About your application
Please submit your application in English; it’s our company language so you’ll be speaking lots of it if you join. We treat all candidates equally. If you are interested please apply through our application system - any correspondence should come from there! Our lovely support isn’t able to pass on any calls/emails our way - and this makes sure that the candidate experience is smooth and fair to everyone. We’re on a mission to make everyone feel valued at work. That’s only achievable if our team reflects the diversity of the world around us - and that starts with you, hitting apply, even if you are worried you might not tick all the boxes! We embrace and encourage people from all backgrounds to apply - regardless of race/ethnicity, colour, religion, nationality, gender, sex, sexual orientation, age, marital status, disability, neurodiversity, socio-economic status, culture or beliefs. When you submit an application we process your personal data as a data processor. Find out more about how your data is used in the FAQs section at the bottom of our jobs page.
Senior Full Stack Data Analyst employer: DataAnalystJobs.io
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StudySmarter Expert Advice 🤫
We think this is how you could land Senior Full Stack Data Analyst
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as SQL, dbt, BigQuery, and Looker. Having hands-on experience or projects showcasing your skills with these tools can set you apart during discussions.
✨Tip Number 2
Prepare to discuss your previous experiences where you've successfully used data to drive product decisions. Be ready to share specific examples of how your insights led to measurable improvements in user engagement or product performance.
✨Tip Number 3
Showcase your ability to collaborate across teams by preparing anecdotes that highlight your experience working with product, engineering, and business teams. Emphasising your role as a bridge-builder can resonate well with the hiring team.
✨Tip Number 4
Demonstrate your understanding of CI/CD processes and their importance in maintaining data integrity. Being able to articulate how you've implemented or improved these processes in past roles will show your technical depth and commitment to quality.
We think you need these skills to ace Senior Full Stack Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in analytics and engineering, particularly within fintech. Emphasise your technical skills with tools like SQL, dbt, BigQuery, and Looker, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, demonstrate your customer-centric approach to problem-solving. Share specific examples of how you've used data to improve customer experiences and drive product decisions.
Showcase Your Projects: Include details about any relevant projects you've worked on that involved building analytics solutions or dashboards. Highlight your role in these projects and the impact they had on the business.
Highlight Collaboration Skills: Since the role involves working closely with product teams, mention your experience in cross-team collaboration. Provide examples of how you've built partnerships across different departments to achieve shared goals.
How to prepare for a job interview at DataAnalystJobs.io
✨Showcase Your Technical Skills
Be prepared to discuss your experience with advanced SQL, dbt, BigQuery, and Looker. Bring examples of how you've used these tools in past projects to solve complex data problems.
✨Demonstrate a Customer-Centric Approach
Highlight instances where your data insights have directly improved customer experiences. Be ready to explain how you prioritise customer needs when analysing data.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would approach A/B testing or user behaviour analysis and be ready to share your thought process.
✨Emphasise Collaboration and Mentorship
Since the role involves working closely with various teams, share examples of how you've successfully collaborated in the past. Discuss any mentoring experiences to show your ability to uplift others.