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: Competitive salary, equity, private healthcare, and flexible working arrangements.
- Other info: Remote-first culture with opportunities for learning and development.
- Why this job: Make a real impact on data-driven decision-making in a dynamic environment.
- Qualifications: Experience leading analytics teams and strong skills in BigQuery, dbt, and SQL.
The predicted salary is between 117500 - 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 will 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 will play a key role in defining how data products are structured, governed, and consumed across the company.
What you will do
- Lead & Mentor: Manage and develop a team of Analytics Engineers, helping establish best practices around modelling, testing, documentation, and delivery standards.
- Own the Semantic Layer: Shape and maintain trusted business definitions and scalable dbt models powering reporting, experimentation, and operational analytics.
- Build Self-Serve Analytics: Enable teams across Product, Growth, Finance, and Operations to confidently access and use high-quality data without heavy reliance on central teams.
- Drive Platform Evolution: Partner closely with Data Engineering to improve platform scalability, governance, observability, and performance across a GCP-native stack.
- Hands-On Delivery: Contribute directly to SQL/dbt development, model reviews, architecture decisions, and analytics workflows where needed.
- Improve Data Quality: Establish testing, lineage, monitoring, and documentation standards to improve trust and consistency across analytics assets.
- Partner with the Business: Translate complex commercial and product requirements into scalable, maintainable analytics solutions.
- Support Product & Commercial Strategy: Deliver reliable datasets and metrics that support growth initiatives, experimentation, customer insight, forecasting, and operational decision-making.
What you will bring
- Previous experience leading or mentoring Analytics Engineers, Analytics Developers, or similar modern data teams.
- Strong hands-on experience with: BigQuery, dbt, SQL, Looker, GCP-native analytics environments.
- Strong understanding of: Data modelling, ELT workflows, Metric governance, Data quality/testing frameworks, Self-serve analytics principles.
- Experience partnering with Product, Commercial, or Operational stakeholders in fast-moving environments.
- Comfortable balancing strategic leadership with hands-on technical contribution.
- Experience working in modern cloud-first data environments with strong engineering standards and CI/CD practices.
Benefits
- Private healthcare
- Equity package
- Remote-first flexibility with ad hoc London travel
- Learning & development budget
- Wellness allowance
- Flexible working arrangements
Please click apply if this role feels like a strong fit.
Analytics Engineering Manager in High Wycombe employer: KDR Talent Solutions
Join a dynamic technology business that prioritises innovation and employee growth, offering a remote-first work culture with the flexibility to travel to London as needed. As an Analytics Engineering Manager, you'll not only lead a talented team but also have access to a generous benefits package, including private healthcare and equity options, all while contributing to the evolution of a cutting-edge data platform that drives impactful decision-making across the organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineering Manager in High Wycombe
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. 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 analytics projects, especially those involving GCP, BigQuery, and dbt. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common analytics scenarios and case studies. Be ready to discuss how you've tackled challenges in previous roles, especially around data quality and self-serve analytics.
✨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 Engineering Manager in High Wycombe
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Analytics Engineering Manager role. Highlight your hands-on experience with GCP, BigQuery, and SQL, as well as any leadership roles you've had in analytics engineering.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've led teams, improved data quality, or partnered with stakeholders in fast-paced environments. Make it personal!
Showcase Your Technical Skills:Don’t shy away from detailing your technical expertise. Mention your experience with dbt, data modelling, and ELT workflows. We want to see how you can contribute to our analytics capabilities right from the get-go.
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 the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at KDR Talent Solutions
✨Know Your Tech Stack
Make sure you’re well-versed in GCP, BigQuery, dbt, and SQL. Brush up on your hands-on experience with these tools, as you'll likely be asked to discuss how you've used them in past projects. Be ready to share specific examples of how you've improved data quality or scalability in previous roles.
✨Showcase Leadership Skills
As an Analytics Engineering Manager, you'll need to demonstrate your ability to lead and mentor a team. Prepare to discuss your leadership style and provide examples of how you've successfully managed teams in the past. Highlight any best practices you've established around modelling, testing, and documentation.
✨Understand Business Needs
Familiarise yourself with how analytics can drive product and commercial strategies. Be prepared to talk about how you've translated complex business requirements into actionable analytics solutions. This will show that you can bridge the gap between technical and non-technical stakeholders.
✨Prepare for Hands-On Questions
Expect some technical questions that may require you to think on your feet. You might be asked to solve a problem or review a model during the interview. Practise articulating your thought process clearly, as this will demonstrate your analytical skills and hands-on expertise.
