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- Tasks: Enhance data capabilities using SQL, Python, DBT, and Looker for impactful decision-making.
- Company: Join a leading E-Commerce company driving innovation in analytics.
- Benefits: Competitive salary of £60k-£80k plus extensive benefits and hybrid working.
- Why this job: Be at the forefront of data-driven decisions in a dynamic industry.
- Qualifications: Proficiency in SQL, Python, DBT, and Looker required.
- Other info: Work in a collaborative environment with opportunities for growth.
The predicted salary is between 48000 - 72000 £ per year.
OB are partnered with an industry leader in the E-Commerce space, who are looking to grow their Analytics Engineering function by hiring multiple Analytics Engineers.
You will be working extensively with DBT to enhance the business's data capabilities, allowing stakeholders across the business to make data-driven decisions.
Key skills and experience:- SQL & Python
- DBT
- Looker
- AWS
Salary of 60k-80k depending on skills and experience + extensive benefits package.
Hybrid working with 3 days a week required in a London-based office.
To be considered, you must be UK based and sadly visa sponsorship is unavailable.
Analytics Engineer employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with SQL, Python, DBT, and Looker. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common analytics engineering questions and be ready to discuss how you've used AWS in your past projects. 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 by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, DBT, and Looker. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Analytics Engineer role and how your background makes you a perfect fit. We love seeing genuine enthusiasm!
Showcase Your Data Skills: Since this role is all about data, include specific examples of how you've used analytics tools to drive decisions in previous roles. We want to see your analytical mindset in action!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Stack
Make sure you brush up on SQL, Python, DBT, Looker, and AWS before the interview. Be ready to discuss your experience with these tools and how you've used them in past projects. This will show that you're not just familiar with the tech but can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in analytics engineering and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your analytical thinking and problem-solving abilities.
✨Understand the Business Context
Research the e-commerce industry and the company’s position within it. Be prepared to talk about how data-driven decisions can impact business outcomes. This shows that you’re not just a tech whiz but also understand the bigger picture.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, projects, and company culture. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you. Think about what you want to know regarding their data capabilities and future plans.
