At a Glance
- Tasks: Lead a team to enhance analytics engineering and improve data accessibility across the organisation.
- Company: Fast-growing tech company focused on modern data platforms.
- Benefits: Competitive salary, equity, private healthcare, and flexible remote work options.
- Other info: Great opportunities for professional growth and a supportive work culture.
- Why this job: Shape the future of data analytics while making a real impact in a dynamic environment.
- Qualifications: Experience leading analytics teams and strong skills in BigQuery, SQL, and GCP.
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’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 & 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’ll 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 Portsmouth employer: KDR Talent Solutions
Join a dynamic technology business at the forefront of data innovation, where you'll lead a talented team in shaping analytics engineering practices that drive impactful decision-making. With a strong emphasis on employee growth, remote-first flexibility, and a commitment to wellness, this role offers an exceptional opportunity to thrive in a collaborative environment while contributing to the evolution of a cutting-edge data platform in London. Enjoy competitive benefits, including equity options and a dedicated learning budget, as you help define the future of data within the organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineering Manager in Portsmouth
✨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, 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 engineering scenarios. Be ready to discuss how you've led teams, improved data quality, and partnered with stakeholders. Practice makes perfect!
✨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 Portsmouth
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 hands-on experience with GCP, BigQuery, and dbt, as well as any leadership roles you've had in analytics teams.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about analytics engineering and how you can contribute to our team. Mention specific projects or achievements that demonstrate your ability to lead and mentor others in a fast-paced environment.
Showcase Your Technical Skills:In your application, don't shy away from detailing your technical expertise. We want to see your familiarity with SQL, data modelling, and ELT workflows. Providing examples of how you've improved data quality or built self-serve analytics will definitely catch our eye!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at KDR Talent Solutions
✨Know Your Tech Stack
Make sure you’re well-versed in GCP, BigQuery, and dbt. Brush up on your SQL skills too! Be ready to discuss how you've used these technologies in past projects and how they can be applied to improve analytics engineering capabilities.
✨Showcase Leadership Experience
Prepare examples of how you've led or mentored teams in the past. Highlight specific instances where you established best practices or improved processes. This will demonstrate your ability to manage a team while still being hands-on.
✨Understand Business Needs
Familiarise yourself with how analytics can drive product and commercial strategies. Be prepared to discuss how you would translate complex requirements into scalable analytics solutions that benefit various stakeholders across the organisation.
✨Emphasise Data Quality
Be ready to talk about your approach to ensuring data quality and governance. Discuss any frameworks or standards you've implemented in previous roles to enhance trust and consistency in analytics assets.
