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- Tasks: Build and maintain robust data models while collaborating with diverse teams.
- Company: Leading UK fintech company focused on empowering financial education for kids.
- Benefits: Remote work flexibility, competitive salary, and a comprehensive benefits package.
- Why this job: Join us to make a real impact in financial education through innovative data solutions.
- Qualifications: Strong background in data modeling, SQL, and experience with dbt or Dataform.
- Other info: Dynamic remote work environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading UK fintech company is seeking an experienced Analytics Engineer to enhance its data modeling practices. This role involves building and maintaining robust data models while collaborating across teams.
Key qualifications include:
- A strong background in data modeling
- Proficiency in SQL
- Experience in tools like dbt and Dataform
The position offers remote work flexibility within the UK, along with a competitive benefits package. Join us on our mission to empower financial education for kids.
Remote Analytics Engineer – Data Platform & Insights employer: GoHenry
Contact Detail:
GoHenry Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Analytics Engineer – Data Platform & Insights
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those who work with data. 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 any projects you've worked on. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on SQL and tools like dbt and Dataform. Be ready to discuss your past experiences and how they relate to the role. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our mission.
We think you need these skills to ace Remote Analytics Engineer – Data Platform & Insights
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data modeling and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing your work with tools like dbt and Dataform!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about financial education and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Collaboration Skills: Since this role involves working across teams, make sure to mention any past experiences where you’ve successfully collaborated with others. We love seeing teamwork in action!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at GoHenry
✨Know Your Data Modelling Inside Out
Make sure you brush up on your data modelling skills before the interview. Be ready to discuss your experience with SQL, dbt, and Dataform in detail. Prepare examples of how you've built and maintained data models in previous roles.
✨Showcase Your Collaboration Skills
Since this role involves working across teams, think of specific instances where you've successfully collaborated with others. Highlight how you communicated complex data insights to non-technical stakeholders, as this will demonstrate your ability to work well in a team environment.
✨Prepare for Technical Questions
Expect some technical questions related to data modelling practices and SQL queries. Practice common scenarios or problems you might face as an Analytics Engineer. This will help you feel more confident and articulate during the interview.
✨Align with Their Mission
Familiarise yourself with the company's mission to empower financial education for kids. Think about how your role as an Analytics Engineer can contribute to this goal. Showing genuine interest in their mission can set you apart from other candidates.
