At a Glance
- Tasks: Design and develop data models to drive business insights and improvements.
- Company: Join a forward-thinking tech company focused on data-driven strategies.
- Benefits: Enjoy flexible working, competitive salary, and generous holiday allowance.
- Other info: Inclusive environment with opportunities for growth and learning.
- Why this job: Make a real impact by translating data into strategic recommendations.
- Qualifications: Expert SQL skills and experience in customer-focused analytics required.
The predicted salary is between 50000 - 60000 € per year.
You will join the Technology & Product function within the Data family. This role acts as a strategic partner to core business units such as product, operations, commercial, and customer functions. You will sit at the intersection of data engineering and business strategy, working closely with both technical peers and non‑technical stakeholders to translate ambiguous problems into clear analytical frameworks.
What you’ll do:
- Design and develop robust, scalable data models that enable high‑quality analytics across UW.
- Identify opportunities for revenue growth and cost reduction by translating data into strategic recommendations.
- Define and track key metrics to measure business performance and success.
- Design experiments to evaluate and support continuous business improvement.
- Influence the roadmap and drive measurable improvements in core business KPIs.
- Address technical debt and balance the trade‑off between shipping fast and building right.
Qualifications:
- Collaborative communicator with a keen attention to detail and the ability to prioritise effectively in a fast‑paced environment.
- Technical mentor who enjoys coaching others through design and code reviews to champion high analytical standards.
- SQL proficiency at an expert level, able to debug complex queries.
- Experience building sophisticated, reusable and scalable dimensional models.
- Proven track record of influencing technical guidelines and conducting rigorous code reviews.
- Strong knowledge of attribution modelling and cohort analysis.
- Experience in pipeline design and reliability engineering, including advanced observability.
- Significant experience in Marketing, CRM, or customer‑focused analytics.
Benefits:
- Competitive salary and an annual discretionary bonus ranging from 15‑40 %.
- Flexible working and optional four‑day working week.
- Work‑from‑anywhere up to three weeks abroad per tax year.
- 25 days holiday plus bank holidays, with the option to trade up to five days per year.
- UW discounts and a free Cashback Card.
- Matched‑contribution pension scheme and life assurance up to 4× salary.
- Family‑friendly policies, private health, dental or gym allowance.
- Eight‑week paid sabbatical after four years of service.
- Dedicated learning budget and bi‑annual promotion cycles.
- Inclusion groups and company‑wide events.
Equal Opportunities:
We provide equal opportunities, a diverse and inclusive work environment, and fairness for everyone. You are welcome to apply no matter your age, disability, gender, marriage or civil partnership status, pregnancy and maternity status, race, religion or belief, or sexual orientation. Please don’t be afraid to ask about what we can do to support your needs. All requests will be carefully and fairly considered. Applicants who are successful and offered a role will be subject to a background check. Where checks are unsatisfactory or incomplete and/or a failure to reveal information relating to convictions required as part of the background checks may lead to withdrawal of an offer of employment.
Analytics Engineer employer: Utility Warehouse
As an Analytics Engineer at our company, you will thrive in a dynamic and inclusive work culture that prioritises collaboration and innovation. With competitive salaries, flexible working options including a four-day week, and generous benefits such as an eight-week paid sabbatical after four years, we are committed to your professional growth and well-being. Join us to make a meaningful impact while enjoying a supportive environment that values diversity and encourages continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream role.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to analytics engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your skills and experiences.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, let your work speak for itself. We love seeing real examples of how you've tackled complex problems and built scalable data models.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we’re always on the lookout for passionate candidates who fit our culture and values.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with SQL, data modelling, and analytics. We want to see how your skills align with the role of Analytics Engineer, so don’t hold back on showcasing your relevant projects!
Showcase Your Communication Skills:Since this role involves working with both technical and non-technical teams, it’s crucial to demonstrate your collaborative communication style. Use examples in your application that illustrate how you've successfully worked with diverse stakeholders.
Highlight Your Problem-Solving Abilities:We’re looking for someone who can turn ambiguous problems into clear analytical frameworks. In your application, share specific instances where you’ve tackled complex challenges and the impact your solutions had on business outcomes.
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 the role. Plus, it shows you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Utility Warehouse
✨Know Your Data Models
Make sure you brush up on your knowledge of data models, especially those that are scalable and reusable. Be ready to discuss your past experiences in building these models and how they contributed to high-quality analytics.
✨Prepare for Technical Questions
Expect to face some tough technical questions, particularly around SQL and debugging complex queries. Practise explaining your thought process clearly, as this will showcase your collaborative communication skills.
✨Showcase Your Business Acumen
Be prepared to discuss how you've identified opportunities for revenue growth or cost reduction in previous roles. Think of specific examples where your analytical recommendations made a measurable impact on business performance.
✨Demonstrate Mentorship Skills
Since the role involves mentoring others, come equipped with examples of how you've coached peers through design and code reviews. Highlight your approach to maintaining high analytical standards while fostering a collaborative environment.
