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- Tasks: Join a dynamic team to optimise data infrastructure and drive insights for a high-growth ecommerce retailer.
- Company: Be part of an innovative ecommerce company focused on scaling and unlocking commercial potential.
- Benefits: Enjoy a competitive salary, bonus, hybrid work options, and opportunities for professional growth.
- Why this job: Work on exciting AI projects and collaborate across teams to make a real impact in ecommerce.
- Qualifications: Experience in data engineering, strong SQL and Python skills, and familiarity with ecommerce metrics required.
- Other info: Ideal for those passionate about AI and emerging tech in a fast-paced environment.
The predicted salary is between 42000 - 84000 £ per year.
Working for a high-growth ecommerce retailer, the Analytics Engineer will help scale their data infrastructure and unlock new commercial insights. As well as the engineering side, the role will also cover web analytics and their AI roadmap. They are looking for someone who blends hands-on technical expertise with a strong understanding of ecommerce metrics and stakeholder needs.
The Analytics Engineer will maintain and optimise a modern data stack built on Google Cloud Platform (GCP), helping ensure data is accessible, high quality, and driving decisions across marketing, product, operations, finance and customer experience, among others. You’ll work closely with the growth and product teams, providing web analytics support using GA360/GA4 data in BigQuery, and enabling self-serve reporting in business tools. You’ll also contribute to an emerging AI and automation roadmap—building lightweight tools, enhancing process efficiency, and helping the team test and scale innovations that drive measurable value.
The Analytics Engineer will be responsible for:
- Building and managing ELT pipelines and analytics infrastructure (BigQuery, dbt, Fivetran, Sigma, etc.)
- Supporting web analytics, conversion funnels, and traffic segmentation
- Collaborating with business stakeholders to model meaningful metrics and enable self-service reporting
- Working on internal AI initiatives like customer segmentation, recommendation systems, and self-healing data tools
- Continuously identifying areas to automate, streamline, or improve reliability
- Staying on top of industry trends in AI, ecommerce, and modern data tooling
The Analytics Engineer will have:
- Experience in data engineering, with a strong preference for GCP experience
- Strong skills in SQL, Python, and at least one ELT / ELT tool
- Familiarity with GA360/GA4 and ecommerce/web analytics fundamentals
- Ability to translate business needs into robust data models
- Curiosity and proactiveness, especially around AI and emerging tech
- Comfortable working in a small team that spans a wide surface area—from CX to ops and inventory
- A background in retail, D2C, or multichannel ecommerce environments
The Analytics Engineer will join a growing data team, with a broad impact across the business. You’ll get space to experiment, autonomy to manage your time, and the chance to work on high-impact projects—from day-to-day operations through to cutting-edge AI innovation.
Location: London / hybrid (ideally 2 days in office) Salary: £70k + bonus + benefits
Analytics Engineer employer: RedCat Digital
Contact Detail:
RedCat Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Familiarise yourself with the tools mentioned in the job description, such as BigQuery, dbt, and Fivetran. Having hands-on experience or even personal projects using these tools can really set you apart during discussions.
✨Tip Number 2
Stay updated on the latest trends in ecommerce and AI. Being able to discuss recent developments or innovations in these areas will demonstrate your passion and proactive approach, which is highly valued in this role.
✨Tip Number 3
Network with professionals in the ecommerce and analytics space. Engaging with industry communities or attending relevant meetups can provide insights into the role and may even lead to referrals.
✨Tip Number 4
Prepare to discuss how you've translated business needs into data models in past experiences. Be ready with specific examples that showcase your ability to collaborate with stakeholders and deliver actionable insights.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with GCP, SQL, and Python. Emphasise any previous work in ecommerce or retail to align with the company's focus.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills in building ELT pipelines and web analytics can contribute to their AI roadmap and overall business goals.
Showcase Technical Skills: Include specific examples of projects where you've used tools like BigQuery, dbt, or Fivetran. Highlight your familiarity with GA360/GA4 and how you've applied ecommerce metrics to drive decisions.
Demonstrate Curiosity and Proactiveness: Mention any personal projects or continuous learning efforts related to AI and emerging technologies. This shows your proactive nature and willingness to stay updated with industry trends.
How to prepare for a job interview at RedCat Digital
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data engineering, particularly with GCP, SQL, and Python. Bring examples of projects where you've built ELT pipelines or worked with tools like BigQuery and dbt, as this will demonstrate your hands-on expertise.
✨Understand Ecommerce Metrics
Familiarise yourself with key ecommerce metrics and web analytics fundamentals. Be ready to explain how you have used GA360/GA4 data to drive insights and support business decisions in previous roles.
✨Demonstrate Collaboration Skills
Since the role involves working closely with various teams, prepare to discuss how you've collaborated with stakeholders in the past. Highlight any experiences where you translated business needs into actionable data models or reporting solutions.
✨Stay Current with Industry Trends
Research the latest trends in AI, ecommerce, and data tooling. Being able to discuss recent developments or innovations in these areas will show your curiosity and proactiveness, which are key traits for this role.
