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- Tasks: Transform raw data into production-ready tables for analytics and AI.
- Company: Join a fast-paced healthcare scale-up in London.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on data governance.
- Why this job: Make a real impact in the healthcare sector with your data skills.
- Qualifications: 3+ years of experience in SQL and familiarity with BigQuery and Looker.
The predicted salary is between 60000 - 80000 £ per year.
MANUAL is looking for a Senior Analytics Engineer to join their Data team in London. This role focuses on modeling raw data into production-ready tables that support analytics and AI applications. You will work collaboratively with cross-functional teams and own the data governance frameworks that drive the data function.
Ideal candidates will have over 3 years of experience, expertise in SQL, and familiarity with tools such as BigQuery and Looker. The position presents an exciting opportunity to make a significant impact in a fast-paced healthcare scale-up.
Senior Analytics Engineer - AI-Ready Data Modeling & Scale employer: Manual
Contact Detail:
Manual Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer - AI-Ready Data Modeling & Scale
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at MANUAL or similar companies. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your SQL expertise and any projects involving BigQuery or Looker. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your technical skills and be ready for coding challenges. We recommend doing mock interviews with friends or using online platforms to simulate the real deal.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Analytics Engineer - AI-Ready Data Modeling & Scale
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your SQL expertise in your application. We want to see how you've used SQL in past projects, especially in data modelling and analytics. Don't just say you know it; show us how you've applied it!
Tailor Your Experience: When writing your application, tailor your experience to match the job description. We’re looking for someone with over 3 years of experience, so make sure to emphasise relevant roles and projects that showcase your skills in data governance and collaboration.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points where necessary to break down your achievements and responsibilities, making it easier for us to see your fit for the role.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows us you're keen on joining our team!
How to prepare for a job interview at Manual
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex queries and how you've used SQL in past projects. They’ll likely want to see how you can model data effectively, so have some examples ready.
✨Familiarise Yourself with BigQuery and Looker
Since this role involves tools like BigQuery and Looker, it’s crucial to understand their functionalities. Try to get hands-on experience or at least read up on best practices. Being able to discuss how you’ve used these tools in previous roles will definitely give you an edge.
✨Showcase Your Collaborative Spirit
This position requires working with cross-functional teams, so be ready to share examples of how you’ve successfully collaborated in the past. Highlight any experiences where you’ve contributed to data governance frameworks or worked closely with other departments.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in data modelling and governance. Think about challenges you’ve faced in previous roles and how you overcame them. This will demonstrate your ability to think critically and adapt in a fast-paced environment.