At a Glance
- Tasks: Own the data-to-insight process, transforming complex data into actionable business insights.
- Company: Join Utility Warehouse, a forward-thinking company in the energy sector.
- Benefits: Enjoy competitive salary, performance bonuses, and flexible working options.
- Other info: Be part of a diverse team with great growth opportunities and inclusive culture.
- Why this job: Make a real impact by driving decisions with your data expertise.
- Qualifications: Proven SQL skills and experience in building analytics-ready data models.
The predicted salary is between 40000 - 50000 £ per year.
As a Data Analyst at Utility Warehouse you will own the complete "Data-to-Insight" value chain for single projects. This role combines the technical skills to build production‑grade data pipelines with the soft skills to manage stakeholders and drive domain‑specific decisions.
- Analytics Engineering (Dataform/dbt): Build and maintain end‑to‑end analytics‑ready data models in Dataform, independently handling complex logic and transformations.
- CI/CD & DevOps (Data version control): Apply version control (through tools like Git & Github) and unit testing practices to analytics models, to ensure data assets are stable, reproducible, and ready for deployment.
- Performance Engineering: Write optimised SQL, proactively tuning for performance (cost & runtime) and addressing alerts about data quality.
- Ownership: Independently plan and execute medium‑to‑large requests through to completion; identify and proactively address tech debt.
- Actionable Insight: Translate complex data into actionable business insights. Move beyond "what happened" to explain "why it happened" and recommend "what to do next."
- Dashboards/Reporting: Build visual self‑serve dashboards and reports for users to access KPIs / metrics and explore/analyse pre‑built data sets.
- Stakeholder Management: Manage the full request lifecycle. Actively engage with stakeholders to refine broad requests into clear requirements, providing accurate estimations and delivering within agreed timelines.
- Domain Ownership: Develop deep knowledge of a specific domain (e.g., Marketing, Product, Finance). Understand the impact of key metrics on the business and participate in defining team goals based on this knowledge.
Qualifications
- Technical & Data Engineering Mastery: Proven experience in writing optimised, modular SQL (Intermediate - advanced proficiency). Experience of building end‑to‑end, analytics‑ready data models in Dataform, underpinned by a strong grasp of the engineering lifecycle (including Git/GitHub version control, merge conflict resolution, and automated unit testing).
- Commercial Impact & Domain Knowledge: A track record of aligning analysis with business needs and translating complex datasets into actionable insights that influence stakeholder decisions. Ideally you will have experience in a regulated utility or a similar high‑volume consumer industry.
- Operational Excellence & Collaboration: Experience in maintaining high data standards through observability (configuring freshness and quality alerts) and producing traceable documentation (Data Dictionaries), with a demonstrated ability to support non‑technical teams through clear data storytelling.
- UW skills and competencies: Prioritisation, Collaboration, Communication, Attention to Detail, Project Management.
Benefits
- 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 you’ll also get access to 100s of rewards and discounts through Perkbox.
- 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’.
Equity, Opportunity, and Background Checks
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. 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/or 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.
Data Analyst - Energy employer: Utility Warehouse Limited
Utility Warehouse is an exceptional employer that prioritises employee well-being and professional growth, offering a competitive salary, performance bonuses, and the flexibility of a four-day working week. With a strong focus on collaboration and inclusion, employees benefit from a supportive work culture, extensive learning opportunities, and unique perks such as the ability to work abroad and generous holiday allowances. Join us in a dynamic environment where your contributions directly impact the energy sector while enjoying a balanced and fulfilling career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Energy
✨Tip Number 1
Get to know the company inside out! Research Utility Warehouse, their values, and recent projects. This will help you tailor your conversations and show that you're genuinely interested in being part of the team.
✨Tip Number 2
Practice your storytelling skills! Be ready to explain how your past experiences relate to the role. Use the STAR method (Situation, Task, Action, Result) to structure your answers and make them impactful.
✨Tip Number 3
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 4
Don’t forget to follow up! After interviews, send a quick thank-you email to express your appreciation for the opportunity. It keeps you fresh in their minds and shows your enthusiasm for the role.
We think you need these skills to ace Data Analyst - Energy
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight the skills and experiences that match the Data Analyst role. We want to see how your background aligns with our needs, so don’t hold back on showcasing your relevant projects!
Show Off Your Technical Skills:Since this role involves building data pipelines and optimising SQL, be sure to include specific examples of your technical expertise. Mention any tools like Dataform or Git you've used, and how they contributed to your past projects.
Demonstrate Stakeholder Management:We love candidates who can manage relationships effectively! Share instances where you’ve engaged with stakeholders to refine requests or deliver insights. This shows us you can bridge the gap between data and business needs.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, we’re excited to see what you bring to the table!
How to prepare for a job interview at Utility Warehouse Limited
✨Know Your Data Tools
Familiarise yourself with the tools mentioned in the job description, like Dataform and Looker. Be ready to discuss your experience with building data models and optimising SQL queries, as this will show you understand the technical requirements of the role.
✨Showcase Your Stakeholder Management Skills
Prepare examples of how you've engaged with stakeholders in the past. Highlight your ability to translate complex data into actionable insights and how you've refined broad requests into clear requirements. This will demonstrate your soft skills and understanding of the business impact.
✨Demonstrate Your Problem-Solving Ability
Think of specific instances where you've tackled tech debt or improved data quality. Be ready to explain your thought process and the steps you took to resolve issues, as this will showcase your ownership and proactive approach.
✨Prepare for Data Storytelling
Practice explaining complex datasets in a simple way. Use storytelling techniques to convey how your analysis influenced decisions. This will help you connect with the interviewers and show that you can communicate effectively with non-technical teams.
