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- Tasks: Build and optimise a core data warehouse for impactful data-driven decisions.
- Company: Leading AI platform firm in Greater London with a fast-scaling startup vibe.
- Benefits: Competitive salary, equity options, and a hybrid working model.
- Why this job: Join a dynamic team and elevate data capabilities in an innovative environment.
- Qualifications: Experience in analytics engineering and strong collaboration skills.
- Other info: Great opportunity for career growth in a cutting-edge tech space.
The predicted salary is between 48000 - 72000 £ per year.
A leading AI platform firm in Greater London is seeking an Analytics Engineer to elevate their data capabilities. The successful candidate will build and optimize the core data warehouse, ensuring data quality, accessibility, and performance for stakeholders.
Responsibilities include:
- Designing dbt models
- Improving data flows
- Collaborating across departments
Join this fast-scaling startup and contribute to impactful data-driven decisions. This role offers a competitive salary, equity options, and a hybrid working model.
Senior Analytics Engineer: Data Warehouse Architect employer: 9Fin Limited
Contact Detail:
9Fin Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer: Data Warehouse Architect
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insights into the company culture and might even lead to a referral.
✨Tip Number 2
Showcase your skills in action! If you’ve worked on relevant projects, consider creating a portfolio or a GitHub repository. This way, we can demonstrate our expertise in building and optimising data warehouses directly.
✨Tip Number 3
Prepare for the interview by brushing up on key concepts related to data quality and accessibility. We should be ready to discuss how we can improve data flows and collaborate effectively across departments.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows that we’re genuinely interested in joining the team.
We think you need these skills to ace Senior Analytics Engineer: Data Warehouse Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data warehousing and analytics. We want to see how your skills align with the role, so don’t be shy about showcasing your dbt models and any collaborative projects you've worked on.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how you can contribute to our data-driven decisions. We love seeing passion and personality, so let us know what makes you tick!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've improved data flows or ensured data quality. We’re looking for someone who can tackle challenges head-on, so share those success stories that demonstrate your analytical prowess.
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. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at 9Fin Limited
✨Know Your Data Warehousing Basics
Make sure you brush up on your data warehousing concepts, especially around dbt models and data flows. Be ready to discuss how you've optimised data warehouses in the past and the impact it had on stakeholders.
✨Showcase Your Collaboration Skills
Since this role involves working across departments, prepare examples of how you've successfully collaborated with different teams. Highlight any cross-functional projects you've been part of and the outcomes they achieved.
✨Demonstrate Problem-Solving Abilities
Be prepared to tackle hypothetical scenarios during the interview. Think about challenges you've faced in previous roles related to data quality or performance, and explain how you resolved them effectively.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and future projects. This shows your genuine interest in the role and helps you understand how you can contribute to their data-driven decisions.