At a Glance
- Tasks: Lead a high-impact analytics engineering team and shape data delivery standards.
- Company: Fast-growing tech company focused on modern data platforms.
- Benefits: Up to £130k salary, equity, remote work, and comprehensive benefits.
- Other info: Opportunity for career growth in a collaborative and innovative setting.
- Why this job: Make a real impact on data-driven decision-making in a dynamic environment.
- Qualifications: Experience in analytics engineering and strong leadership skills.
The predicted salary is between 104000 - 130000 € per year.
KDR have partnered with a fast-growing technology business building a modern data platform at the centre of how the organisation scales product, commercial, and operational decision-making. Following a significant growth phase over the last few years, the business are now investing heavily in the maturity of their analytics engineering capability. They already have strong foundations in place across GCP and BigQuery, but are now looking for someone to help formalise standards, improve self-serve analytics, and shape how trusted business data is delivered across the organisation.
As Analytics Engineering Manager, you’ll lead a small but high-impact analytics engineering function while remaining hands-on with modelling, architecture, and platform direction. This role sits between Data Engineering, Product Analytics, and commercial stakeholders, helping ensure data is reliable, scalable, and genuinely useful to the business. Reporting into the Director of Data, you’ll play a key role in defining how data products are structured, governed, and consumed across the company.
What you’ll do:
- Lead the analytics engineering function
- Formalise standards and improve self-serve analytics
- Shape the delivery of trusted business data
- Ensure data reliability and scalability
- Define data product structure and governance
Analytics Engineering Manager employer: KDR Talent Solutions
Join a dynamic and innovative technology company in London that prioritises employee growth and development, offering a collaborative work culture where your contributions directly impact the organisation's success. With competitive compensation, equity options, and a commitment to advancing analytics capabilities, this role provides a unique opportunity to shape the future of data-driven decision-making while enjoying the flexibility of remote work.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineering Manager
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytics projects, especially those involving GCP and BigQuery. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common analytics engineering questions and scenarios. Practice explaining your thought process and how you've tackled challenges in past roles – this will help you stand out during the interview.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Analytics Engineering Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Analytics Engineering Manager role. Highlight your experience with GCP, BigQuery, and any relevant analytics engineering projects to catch our eye!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about analytics engineering and how you can contribute to our mission. Be genuine and let your personality come through.
Showcase Your Hands-On Experience:Since this role involves being hands-on with modelling and architecture, make sure to include specific examples of your past work. We want to see how you've tackled challenges and delivered results in similar environments.
Apply Through Our Website:We encourage you to apply directly 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 KDR Talent Solutions
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge, especially around BigQuery. Be ready to discuss how you've used these tools in past projects and how they can be leveraged to improve analytics engineering capabilities.
✨Showcase Your Leadership Skills
As an Analytics Engineering Manager, you'll need to lead a team. Prepare examples of how you've successfully managed teams or projects in the past. Highlight your ability to mentor others and drive a collaborative environment.
✨Understand Business Needs
Familiarise yourself with how analytics can impact product, commercial, and operational decision-making. Be prepared to discuss how you would align analytics engineering with business goals and improve self-serve analytics for stakeholders.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about data modelling, architecture, and platform direction. Brush up on best practices and be ready to share your thoughts on how to formalise standards and ensure data reliability and scalability.
