Analytics Engineer in London

Analytics Engineer in London

London Full-Time 50000 - 70000 £ / year (est.) Home office (partial)
Utility Warehouse Limited

At a Glance

  • Tasks: Design and develop data models to drive business insights and performance.
  • Company: Join UW, a forward-thinking company simplifying utilities for everyone.
  • Benefits: Enjoy a competitive salary, flexible work options, and generous holiday allowance.
  • Other info: Be part of a diverse team with great growth opportunities and a supportive culture.
  • Why this job: Make a real impact by transforming data into strategic recommendations.
  • Qualifications: Expertise in data modelling and strong analytical skills required.

The predicted salary is between 50000 - 70000 £ per year.

Hi! We're UW. We're on a mission to take the headache out of utilities by providing them all in one place. One bill for energy, broadband, mobile and insurance and a whole lot of savings! We're aiming to double in size as we help more people to stop wasting time and money. Big ambitions, to be delivered by people like you.

The challenge for our customers and Partners, UW just needs to work – there when you need it, and invisible when you don’t. Just like flicking a switch. Our proposition to customers is simple, but for our technology teams, the behind-the-scenes complexity is what makes it so interesting.

We work together. Your team and the people you will work with... 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, or 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.

We deliver progress. What you’ll do and how you will make an impact... As a Senior Data Analyst, you will take end-to-end ownership of the reliability and performance of core analytical domains. You will drive progress by:

  • Designing and developing robust, scalable data models that enable high-quality analytics across UW.
  • Identifying opportunities for revenue growth and cost reduction by translating data into strategic recommendations.
  • Defining and tracking key metrics to measure business performance and success.
  • Designing experiments to evaluate and support continuous business improvement.
  • Influencing the roadmap and driving measurable improvements in core business KPIs.
  • Addressing technical debt and balancing the trade-off between "shipping fast" and "building right".

Qualifications We put people first. It's all about you... To thrive in this role, you should be a collaborative communicator with a keen attention to detail and the ability to prioritise effectively in a fast-paced environment. You are a technical mentor who enjoys coaching others through design and code reviews to champion high analytical standards.

Technical Skills & Experience:

  • Expert level, with the ability to debug complex queries.
  • Advanced Data Modelling: Experience building sophisticated, reusable, and scalable dimensional models.
  • Technical Governance: Proven track record of influencing technical guidelines and conducting rigorous code reviews.
  • Analytics Methodology: Strong knowledge of attribution modelling and cohort analysis.
  • Operational Excellence: Experience in pipeline design and reliability engineering, including advanced observability.
  • Domain Expertise: Significant experience in Marketing, CRM, or customer-focused analytics.

Additional Information We have big ambitions, which means plenty of challenges to tackle and solutions for you to build. We're looking for people who want to roll up their sleeves and get involved.

  • Competitive salary: We benchmark against the industry and will share the salary openly during our first conversation.
  • Performance bonus: An annual discretionary bonus ranging from 15-40%.
  • Work-life balance: We offer an optional four-day working week (90% pay for 90% impact).
  • Work from anywhere: You can work abroad for up to three weeks, twice every tax year.
  • Holiday: 25 days plus bank holidays (increasing with tenure), with the option to trade up to five days each year.
  • UW discounts: Save on our services and get a free Cashback Card.
  • Future planning: Matched-contribution pension scheme and life assurance (up to 4x salary).
  • Family first: Policies designed to help you and your family thrive.
  • Flexible benefits: An allowance for private health insurance, dental insurance, or gym membership.
  • Sabbaticals: An eight-week paid sabbatical after four years of service.
  • Growth: A dedicated learning and development budget and bi-annual promotion cycles.
  • Inclusion: Join belonging groups that help shape our culture.
  • Events: Company-wide celebrations including the "Great Big Get Together" and our "Good Hearted Go-Getter Awards".

Apply Now You've got this far... Hit apply - we can't wait to hear from you! Worried you don't hit all the criteria? We welcome applications from diverse and varied backgrounds so get your application in and let's chat!

Beth Rodgers will be your point of contact throughout the recruitment process. Not sure you meet all the requirements? Research shows that women and members of other underrepresented groups tend not to apply for jobs if they think they may not meet every qualification, when in fact they often do. 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.

Please note, if you are successful and offered a role at UW, you will be subject to a background check. Where checks are unsatisfactory or incomplete and a failure to reveal information relating to convictions that you are required to identify as part of the background checks, could lead to withdrawal of an offer of employment.

Analytics Engineer in London employer: Utility Warehouse Limited

At UW, we pride ourselves on being an exceptional employer that values collaboration, innovation, and personal growth. Our inclusive work culture fosters a sense of belonging, while our competitive benefits, including an optional four-day working week and generous learning budgets, empower employees to thrive both personally and professionally. Join us in our mission to simplify utilities and enjoy the unique advantage of working in a dynamic environment where your contributions directly impact our ambitious goals.

Utility Warehouse Limited

Contact Details:

Utility Warehouse Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Analytics Engineer in London

Tip Number 1

Network like a pro! Reach out to current employees at UW on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. It’s all about making connections!

Tip Number 2

Prepare for those tricky questions! Think about how your skills in data modelling and analytics can directly impact UW's mission. Be ready to share specific examples of how you've tackled similar challenges in the past.

Tip Number 3

Show off your analytical prowess! During interviews, don’t just talk about your experience; demonstrate your thought process. Walk them through how you would approach a problem or project relevant to the role.

Tip Number 4

Don’t forget to follow up! After your interview, send a thank-you note expressing your enthusiasm for the role and summarising how you can contribute to UW's goals. It shows you're genuinely interested and keeps you top of mind!

We think you need these skills to ace Analytics Engineer in London

Data Modelling
Analytical Frameworks
Revenue Growth Identification
Cost Reduction Strategies
Key Metrics Definition
Experiment Design
Technical Governance

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight how your skills and experiences align with the role of Analytics Engineer. We want to see how you can contribute to our mission at UW!

Showcase Your Technical Skills:Don’t hold back on detailing your technical expertise! Whether it’s data modelling or analytics methodologies, let us know how you’ve tackled complex problems in the past. We love a good success story!

Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point!

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, we can’t wait to hear from you!

How to prepare for a job interview at Utility Warehouse Limited

Know Your Data Models

As an Analytics Engineer, you'll need to showcase your expertise in data modelling. Brush up on your advanced data modelling skills and be ready to discuss how you've built scalable dimensional models in the past. Prepare examples that highlight your ability to design robust data structures.

Communicate Clearly

Since you'll be working with both technical and non-technical stakeholders, practice explaining complex analytical concepts in simple terms. Think of scenarios where you successfully translated ambiguous problems into clear frameworks, and be prepared to share these during the interview.

Showcase Your Analytical Mindset

Be ready to discuss your experience with analytics methodologies, especially attribution modelling and cohort analysis. Prepare to talk about specific projects where your analytical insights led to revenue growth or cost reduction, demonstrating your impact on business performance.

Emphasise Collaboration

This role requires a collaborative spirit, so think of examples where you've worked effectively in a team. Highlight your experience in mentoring others through design and code reviews, and how you've championed high analytical standards within your team.