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- Tasks: Design and maintain data models, ensuring quality insights for strategic decisions.
- Company: Fast-growing fintech focused on improving financial access in emerging markets.
- Benefits: Competitive salary, equity, hybrid work, and strong learning opportunities.
- Other info: Join a dynamic team in a fast-paced, high-growth setting.
- Why this job: Make a real impact in a collaborative environment with high ownership.
- Qualifications: 5-7 years in analytics engineering, expert SQL, and strong communication skills.
The predicted salary is between 75000 - 90000 ÂŁ per year.
Our client is a fastâgrowing fintech in the global payments and trade space, focused on improving financial access in emerging markets. Backed by leading investors, they are scaling quickly and hiring an Analytics Engineer to take ownership of their data function. This is a highâimpact, crossâfunctional role working closely with Finance, Product, Engineering, and leadership teams.
You will design and maintain scalable data models and pipelines, enabling accurate reporting and insights across the business. You'll also act as a key partner to stakeholders, translating data into clear, actionable insights.
Key Responsibilities- Build and maintain data models and pipelines
- Ensure data quality through testing, monitoring, and best practices (e.g., dbt)
- Define and document key business and financial KPIs
- Develop dashboards and reporting for various stakeholders
- Support strategic decisionâmaking with clear data insights
- Promote data best practices across the business
- 5â7+ years in analytics engineering or data roles
- Expert SQL and strong data modelling experience
- Experience with BI tools and dashboarding
- Strong stakeholder management and communication skills
- Comfortable working in fastâpaced, crossâfunctional environments
- Startup or highâgrowth experience
- Experience with financial/product metrics (revenue, retention, LTV)
- Python or other programming languages
- Productâfocused mindset
- Additional languages (French particularly would be highly advantageous but not a necessity)
- Competitive salary up to ÂŁ90,000 + equity
- Hybrid working (3 days onsite)
- High ownership and visibility
- Collaborative, fastâpaced environment
- Strong learning and development opportunities
Sound like you? Apply Now!
Analytics Engineer in London employer: Talentedge Recruitment Limited
Contact Detail:
Talentedge Recruitment Limited Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Analytics Engineer in London
â¨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 arenât even advertised yet.
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and dashboards. This gives potential employers a taste of what you can do and sets you apart from the crowd.
â¨Tip Number 3
Prepare for interviews by brushing up on your SQL and data modelling skills. Be ready to discuss how you've used these in past roles, especially in fast-paced environments.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Analytics Engineer in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV is tailored to the Analytics Engineer role. Highlight your experience with SQL, data modelling, and any relevant BI tools. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about fintech and how your background makes you a great fit for our team. Keep it concise but impactful â we love a good story!
Showcase Your Projects: If you've worked on any cool data projects, donât forget to mention them! Whether it's building dashboards or improving data quality, we want to know how you've made an impact in your previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures youâre considered for the role. Plus, itâs super easy â just a few clicks and youâre done!
How to prepare for a job interview at Talentedge Recruitment Limited
â¨Know Your Data Inside Out
As an Analytics Engineer, youâll be expected to have a solid grasp of data models and pipelines. Brush up on your SQL skills and be ready to discuss how you've built and maintained data structures in previous roles. Prepare examples that showcase your ability to ensure data quality and how youâve used tools like dbt.
â¨Showcase Your Stakeholder Skills
This role involves working closely with various teams, so itâs crucial to demonstrate your stakeholder management abilities. Think of specific instances where you translated complex data into actionable insights for non-technical stakeholders. Practice explaining your thought process clearly and concisely.
â¨Be Ready for Technical Questions
Expect some technical questions during the interview. Brush up on your knowledge of BI tools and dashboarding techniques. You might be asked to solve a problem on the spot, so practice common scenarios you might face in the role. Being comfortable with Python or other programming languages can also give you an edge.
â¨Understand the Companyâs Mission
Since the company is focused on improving financial access in emerging markets, do your homework on their mission and values. Be prepared to discuss how your experience aligns with their goals and how you can contribute to their growth. Showing genuine interest in their work can set you apart from other candidates.