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- Tasks: Design data models and pipelines to enhance data quality and insights.
- Company: Leading fintech company with a collaborative and fast-paced culture.
- Benefits: Competitive salary, equity, and comprehensive benefits in a hybrid role.
- Other info: Exciting opportunity for career growth in a dynamic environment.
- Why this job: Join a high-impact team and shape strategic decisions with your analytics expertise.
- Qualifications: 5–7+ years in analytics engineering and expert SQL skills required.
The predicted salary is between 75000 - 90000 £ per year.
A leading fintech company is seeking an Analytics Engineer to enhance their data function. The role involves designing data models and pipelines, ensuring data quality, and providing insights for strategic decisions.
Candidates should have 5–7+ years in analytics engineering, expert SQL skills, and experience with BI tools.
This hybrid position offers a competitive salary of £75,000 - £90,000 plus equity and benefits while working in a collaborative, fast-paced environment.
Analytics Engineer — Hybrid, Equity, High-Impact Data in London employer: Talentedge Recruitment Limited
Contact Detail:
Talentedge Recruitment Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer — Hybrid, Equity, High-Impact Data in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the fintech company on LinkedIn. A friendly chat can give us insider info and might just get your application noticed.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best data models and insights. We want to see how you can add value, so make sure it’s easy to digest and visually appealing.
✨Tip Number 3
Ace the interview! Brush up on your SQL and BI tools knowledge. We recommend practising common analytics scenarios and be ready to discuss how you’ve tackled challenges in past roles.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Analytics Engineer — Hybrid, Equity, High-Impact Data in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL expertise and any experience with BI tools in your application. We want to see how your skills can enhance our data function!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect how your experience aligns with the role of Analytics Engineer. We love seeing candidates who take the time to connect their background to what we do.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the point about your achievements and experiences.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Talentedge Recruitment Limited
✨Know Your Data Models
Make sure you brush up on your data modelling skills. Be ready to discuss how you've designed data models in the past and the impact they had on decision-making. This will show that you understand the core of what the role entails.
✨Showcase Your SQL Expertise
Prepare to demonstrate your SQL skills during the interview. You might be asked to solve a problem or optimise a query on the spot, so practice common SQL challenges beforehand. This will help you stand out as a candidate who can hit the ground running.
✨Familiarise Yourself with BI Tools
Since experience with BI tools is crucial for this role, make sure you know the ins and outs of the tools you've used. Be ready to discuss specific projects where you leveraged these tools to provide insights, as this will highlight your practical experience.
✨Emphasise Collaboration Skills
In a fast-paced environment, teamwork is key. Prepare examples of how you've successfully collaborated with cross-functional teams in the past. This will demonstrate that you can thrive in a collaborative setting and contribute positively to the company culture.