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- Tasks: Design and maintain data models, pipelines, and dashboards for impactful decision-making.
- Company: Fast-growing fintech in the payments space with a dynamic team.
- Benefits: Competitive salary, equity, hybrid work, and great benefits.
- Why this job: Take ownership of data projects and collaborate with key stakeholders.
- Qualifications: 6+ years in analytics engineering, expert SQL, and strong BI skills.
- Other info: Exciting opportunity in a startup environment with career growth potential.
The predicted salary is between 75000 - 90000 £ per year.
We’re partnering with a fast-growing fintech in the payments space looking to hire an Analytics Engineer into their London team. This is a high-impact role with full ownership across data modelling, pipelines, and dashboards, working closely with Product, Finance, and leadership.
Role responsibilities:
- Design and maintain scalable data models and data pipelines
- Ensure data quality, reliability, and best practices (testing, monitoring)
- Define and document key business and financial KPIs
- Build and maintain high-impact dashboards for decision-making
- Partner cross-functionally with Product, Finance, and senior stakeholders
Key experience & skills required:
- 6+ years experience in analytics engineering / data modelling roles
- Expert-level SQL and strong experience building scalable data models
- Strong BI/dashboarding experience (e.g. Looker, Tableau, Power BI)
- Experience working closely with business stakeholders
- Strong communication and data storytelling skills
Desirable:
- Fintech / payments / FX experience
- Startup or scale-up background
- Experience with dbt or similar tools
- Programming experience (Python or similar)
- Experience with product analytics (retention, LTV, funnels)
Salary: £75,000 – £90,000 + equity + benefits
Location: London (Hybrid – 3 days in office, Shoreditch area)
If you’re interested or would like to learn more, feel free to apply or reach out directly.
Analytics Engineer in London employer: Rev & Regs
Contact Detail:
Rev & Regs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those working in analytics. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and dashboards. This is your chance to demonstrate your expertise in SQL and BI tools like Looker or Tableau.
✨Tip Number 3
Prepare for interviews by brushing up on your data storytelling skills. Be ready to explain how your work impacts business decisions, especially in a fast-paced environment like fintech.
✨Tip Number 4
Don’t forget to 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 take that extra step!
We think you need these skills to ace Analytics Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Analytics Engineer. Highlight your experience in data modelling and analytics engineering, and don’t forget to mention any relevant tools like SQL or BI software you've used.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about fintech and how your skills align with our needs. Be specific about your achievements and how they relate to the responsibilities listed in the job description.
Showcase Your Data Storytelling Skills: Since communication is key for this role, make sure to include examples of how you've effectively communicated complex data insights to stakeholders. This will demonstrate your ability to partner cross-functionally, which is super important for us.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Rev & Regs
✨Know Your Data Inside Out
As an Analytics Engineer, you’ll be expected to have a solid grasp of data modelling and pipelines. Brush up on your SQL skills and be ready to discuss how you've designed scalable data models in the past. Prepare examples that showcase your ability to ensure data quality and reliability.
✨Showcase Your Dashboarding Skills
Familiarise yourself with the BI tools mentioned in the job description, like Looker or Tableau. Bring along examples of dashboards you've built that had a significant impact on decision-making. Be prepared to explain your thought process behind the design and the KPIs you focused on.
✨Communicate Like a Pro
Strong communication and data storytelling skills are key for this role. Practice explaining complex data concepts in simple terms. Think about how you can convey your insights effectively to non-technical stakeholders, as this will demonstrate your ability to partner cross-functionally.
✨Understand the Fintech Landscape
Since this role is in the fintech space, it’s crucial to have a good understanding of the industry, especially payments. Research current trends and challenges in fintech, and be ready to discuss how your experience aligns with the company's goals and how you can contribute to their success.