At a Glance
- Tasks: Transform and govern data to power analytics and reporting for a leading luxury brand.
- Company: Exciting, female-founded luxury brand committed to sustainability and ethical craftsmanship.
- Benefits: Competitive salary, meaningful work, and the chance to impact a global community.
- Other info: Collaborative environment with a focus on AI tools and career growth.
- Why this job: Join a dynamic team at the forefront of data-driven decision-making in retail.
- Qualifications: Strong SQL skills, experience with dbt, and familiarity with GCP and BigQuery.
The predicted salary is between 50000 - 65000 £ per year.
This is one of the most exciting and purpose-driven accessible luxury brands in the world — female-founded, sustainability-led and commercially on fire across physical retail, eCommerce and global partnerships. Recognised as Responsible Business of the Year and consistently celebrated for its commitment to ethical craftsmanship and positive impact, this is a brand that genuinely stands for something beyond the product. With a loyal and growing global community at its heart and serious momentum across all channels, this is a business where the data team sits right at the centre of commercial decision-making — not on the periphery. For the right person, this is a rare opportunity to do meaningful, high-impact work inside a brand that the whole world has heard of and that people are genuinely proud to be part of.
THE ROLE
This is a broad, end-to-end Analytics Engineer position sitting at the heart of the data value chain — bridging the gap between infrastructure and analytics delivery for a fast-growing global business. You will own the transformation and governance layer that powers dashboards, reporting and advanced analytics across the organisation — building and maintaining dbt models, managing cloud infrastructure on GCP and BigQuery, setting up data ingestion pipelines and championing data quality best practices throughout. This is not a siloed technical role — you will work closely with senior stakeholders across the business, take full ownership of projects from requirements through to delivery and bring a genuine data product mindset to everything you build. The team actively embraces AI tools in their day-to-day workflow and expects you to share that curiosity — whether that is using Claude or GitHub Copilot to accelerate development, experimenting with conversational data interfaces or thinking about what AI means for the future of analytics. Small team, big ownership, real commercial impact.
THE PERSON
You are a technically strong, commercially curious Retail Analytics/Data Engineer who thrives at the intersection of engineering rigour and analytical thinking — someone who builds clean, reliable data models but never loses sight of the business question behind the request. You have a strong command of SQL and hands-on dbt experience, practical knowledge of cloud data platforms — ideally GCP and BigQuery — and familiarity with data ingestion tools including Fivetran, Python and API integrations. You are equally comfortable working with senior stakeholders as you are in the codebase, you take ownership without being asked and you bring genuine curiosity about how AI is changing the way data teams work. A background in retail, DTC or eCommerce is strongly preferred — and above all you are the kind of person who collaborates openly, communicates with clarity and brings energy and humility to a high-performing team.
Analytics Engineer employer: WeComm
As a leading accessible luxury brand, we pride ourselves on being female-founded and sustainability-led, offering an inspiring work environment where your contributions directly impact our mission. Our culture fosters collaboration and innovation, with a strong emphasis on employee growth and the use of cutting-edge AI tools, ensuring that you are at the forefront of analytics in a fast-paced retail landscape. Join us to be part of a purpose-driven team that values ethical craftsmanship and is committed to making a positive difference in the world.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral — which is always a bonus!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your analytics prowess. Whether it's a cool dashboard or a data model you've built, having something tangible to discuss can really set you apart in interviews.
✨Tip Number 3
Be curious about AI! Since the team embraces AI tools, come prepared with ideas on how you could leverage them in your role. This shows you're not just technically savvy but also forward-thinking — a great combo for an Analytics Engineer!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of our amazing team and brand!
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Show Your Passion for Data:When you're writing your application, let your enthusiasm for data shine through! We want to see how your curiosity about analytics and AI aligns with our mission. Share specific examples of projects or experiences that highlight your passion.
Tailor Your Application:Make sure to customise your CV and cover letter for this role. Highlight your experience with SQL, dbt, and cloud platforms like GCP and BigQuery. We love seeing how your skills can directly contribute to our data-driven decision-making!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your key achievements and skills effectively. Remember, we’re looking for someone who can communicate well with both technical and non-technical stakeholders.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at WeComm
✨Know Your Data Inside Out
Make sure you’re well-versed in the data tools and technologies mentioned in the job description. Brush up on your SQL skills, dbt experience, and cloud platforms like GCP and BigQuery. Being able to discuss specific projects where you've used these tools will show that you’re not just familiar with them, but that you can apply them effectively.
✨Understand the Business Impact
This role is all about bridging the gap between data and business decisions. Be prepared to discuss how your analytical work has driven commercial outcomes in previous roles. Think of examples where your insights led to actionable changes or improvements, especially in retail or eCommerce settings.
✨Show Your Curiosity About AI
Since the team embraces AI tools, come ready to chat about how you’ve used AI in your past work or how you see it shaping the future of analytics. Whether it’s using tools like Claude or GitHub Copilot, showing that you’re engaged with the latest tech trends will set you apart.
✨Communicate Clearly and Collaboratively
You’ll be working closely with senior stakeholders, so practice articulating your thoughts clearly. Prepare to explain complex data concepts in simple terms and demonstrate your collaborative spirit. Share examples of how you’ve worked with teams to achieve common goals, highlighting your energy and humility.
