At a Glance
- Tasks: Lead the design of analytical data models and set standards across the organisation.
- Company: Join Preply, a forward-thinking company transforming education with data.
- Benefits: Enjoy a hybrid role in London with competitive salary and growth opportunities.
- Other info: Be part of a dynamic team shaping the future of learning.
- Why this job: Make a real impact on education through data-driven insights and innovative analytics.
- Qualifications: Expertise in SQL and experience with dbt and Looker required.
The predicted salary is between 60000 - 80000 € per year.
Preply is seeking a Staff Analytics Engineer to shape the analytical foundations of the company. You will lead the design of core analytical data models and define standards across the organization.
The ideal candidate has extensive experience in analytics engineering, expert-level proficiency in SQL, and advanced knowledge with tools like dbt and Looker.
Join us in transforming education through data-driven insights in a hybrid role based in London.
Lead Analytics Engineer – Data Models, ETL & Looker employer: Preply
At Preply, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our London-based team enjoys flexible working arrangements, comprehensive professional development opportunities, and the chance to make a significant impact in transforming education through data-driven insights. Join us to be part of a forward-thinking company that values your expertise and supports your growth.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Analytics Engineer – Data Models, ETL & Looker
✨Tip Number 1
Network like a pro! Reach out to folks in the analytics space, especially those who work with data models and ETL. A friendly chat can open doors and give you insights into the company culture.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your SQL prowess and experience with Looker. This will help us see your analytical thinking in action and how you tackle real-world problems.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for analytics roles. We recommend running through scenarios where you’ve designed data models or optimised ETL processes to demonstrate your expertise.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in joining our mission to transform education through data-driven insights.
We think you need these skills to ace Lead Analytics Engineer – Data Models, ETL & Looker
Some tips for your application 🫡
Show Off Your SQL Skills:Make sure to highlight your expert-level proficiency in SQL in your application. We want to see how you've used SQL to solve real-world problems and drive insights in your previous roles.
Talk About Your Experience with Data Models:When writing your application, share specific examples of how you've designed core analytical data models. We’re keen to understand your thought process and the impact your work has had on previous projects.
Highlight Your Tool Proficiency:Don’t forget to mention your experience with dbt and Looker! We love seeing candidates who can demonstrate advanced knowledge of these tools and how they’ve leveraged them to enhance analytics processes.
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 important updates from us!
How to prepare for a job interview at Preply
✨Know Your Data Models
Make sure you brush up on your knowledge of data models before the interview. Be ready to discuss how you've designed and implemented them in previous roles, especially using tools like dbt and Looker. This will show that you understand the core responsibilities of the role.
✨SQL Mastery is Key
Since expert-level proficiency in SQL is a must-have, practice writing complex queries and optimising them. You might be asked to solve a problem on the spot, so being comfortable with SQL syntax and functions will give you a significant edge.
✨Showcase Your Leadership Skills
As a Lead Analytics Engineer, you'll need to demonstrate your ability to lead and influence others. Prepare examples of how you've defined standards or led projects in the past. Highlight your experience in mentoring junior team members or collaborating across departments.
✨Understand Preply's Mission
Familiarise yourself with Preply's mission to transform education through data-driven insights. Think about how your skills can contribute to this goal and be ready to discuss specific ways you can add value to the team. Showing genuine interest in the company's vision will set you apart.
