At a Glance
- Tasks: Lead AI-first analytics workflows and innovate automation with SQL and dbt.
- Company: Join Moneysupermarket Group, a leader in data-driven solutions.
- Benefits: Enjoy flexible benefits, generous holidays, pension contributions, and mental health support.
- Other info: Thriving environment with opportunities for personal and professional growth.
- Why this job: Make an impact by driving innovation in analytics and automation.
- Qualifications: Expertise in SQL, dbt, and strong collaboration skills required.
The predicted salary is between 50000 - 70000 £ per year.
Moneysupermarket Group is looking for a Senior Analytics Engineer to lead our AI-first analytics workflows. You will leverage your expertise in SQL and dbt while collaborating with data teams and pushing innovation in automation. This role champions effective practices in coding agents and infrastructure management.
Enjoy flexible benefits—including a generous holiday scheme, pension contributions, and a mental health platform—enabling you to thrive both personally and professionally.
AI‑First Analytics Engineer employer: Moneysupermarket Group
Moneysupermarket Group is an excellent employer that fosters a culture of innovation and collaboration, particularly for the role of Senior Analytics Engineer. With flexible benefits such as a generous holiday scheme, pension contributions, and a dedicated mental health platform, employees are empowered to achieve personal and professional growth in a supportive environment. The company's commitment to pushing the boundaries of AI-first analytics ensures that team members are at the forefront of technological advancements, making it a truly rewarding place to work.
StudySmarter Expert Advice🤫
We think this is how you could land AI‑First Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Moneysupermarket Group. A friendly chat can open doors and give you insights that might just set you apart from the crowd.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your SQL and dbt expertise. When you get the chance to chat with recruiters, having something tangible to discuss can really make you stand out.
✨Tip Number 3
Be ready for the tech test! Brush up on your coding skills and be prepared to demonstrate your knowledge of AI-first analytics workflows. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨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 AI‑First Analytics Engineer
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, so don’t hold back on the details!
Talk About Your dbt Experience:If you’ve worked with dbt, let us know! Share specific examples of how you’ve leveraged it to drive analytics workflows and improve automation.
Collaborate Like a Pro:We love teamwork! Mention any experiences where you collaborated with data teams or other departments. It shows you can work well with others and push innovation together.
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 this exciting role.
How to prepare for a job interview at Moneysupermarket Group
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with complex queries and how you've used SQL in past projects. Practising some common SQL problems can really help you stand out.
✨Familiarise Yourself with dbt
Since this role involves dbt, it’s crucial to understand its functionalities and best practices. Try to showcase any previous projects where you’ve implemented dbt, and be ready to explain how it improved your analytics workflows.
✨Showcase Your Collaboration Skills
This position requires working closely with data teams, so be prepared to discuss how you’ve successfully collaborated in the past. Think of specific examples where your teamwork led to innovative solutions or improved processes.
✨Emphasise Your Passion for Automation
As the role champions innovation in automation, share your thoughts on how automation can enhance analytics workflows. Bring examples of how you’ve automated processes in previous roles and the impact it had on efficiency.
