Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build data models to drive business growth in a revolutionary skincare company.
- Company: Join a cutting-edge skincare brand that values innovation and collaboration.
- Benefits: Enjoy a competitive salary, equity opportunities, and a hybrid work model.
- Why this job: Be a key player in a fast-paced environment and make an impact on business success.
- Qualifications: Strong AWS knowledge and experience in analytics engineering required.
- Other info: Great opportunity for career growth in a dynamic industry.
The predicted salary is between 30000 - 42000 £ per year.
A revolutionary skincare company is seeking an Analytics Engineer to design, build, and maintain data models to drive business growth. This role offers the chance to play a critical part in a fast-paced environment with responsibilities including data optimization and collaborating on predictive modeling.
Ideal candidates will have strong AWS knowledge and experience in analytics engineering. The position is hybrid, balancing in-office and remote work, and offers significant benefits including competitive salary and equity opportunities.
Analytics Engineer – Build Scalable Data & ML Pipelines employer: Skin + Me
Contact Detail:
Skin + Me Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer – Build Scalable Data & ML Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the skincare and analytics space on LinkedIn. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and predictive analytics projects. This is your chance to shine and demonstrate how you can drive business growth.
✨Tip Number 3
Prepare for the interview by brushing up on AWS and analytics engineering concepts. We want you to feel confident discussing how you can optimise data and collaborate effectively with teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Analytics Engineer – Build Scalable Data & ML Pipelines
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your AWS knowledge and any experience you have in analytics engineering. We want to see how your skills can help us build those scalable data and ML pipelines!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Analytics Engineer role. We love seeing candidates who take the extra step.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your experience and achievements shine through without unnecessary fluff.
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 in our revolutionary skincare company!
How to prepare for a job interview at Skin + Me
✨Know Your Data Models
Make sure you brush up on your data modelling skills. Be ready to discuss how you've designed and maintained data models in the past, especially in relation to driving business growth. Prepare examples that showcase your experience with AWS and analytics engineering.
✨Showcase Your Collaboration Skills
This role involves working closely with others, so be prepared to talk about your experience collaborating on predictive modelling projects. Think of specific instances where your teamwork made a difference and how you communicated effectively with different stakeholders.
✨Demonstrate Your Problem-Solving Abilities
Expect questions that assess your analytical thinking and problem-solving skills. Prepare to discuss challenges you've faced in data optimisation and how you approached them. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Understand the Company’s Vision
Research the skincare company and understand its mission and values. Be ready to explain how your skills as an Analytics Engineer align with their goals. Showing genuine interest in their products and how data can enhance customer experience will set you apart.
