Analytics Engineer at Utility Warehouse

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

06 Aug, 26

Salary

0.0

Posted On

08 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Data Modelling, Dimensional Modelling, Technical Governance, Code Reviews, Attribution Modelling, Cohort Analysis, Pipeline Design, Reliability Engineering, Observability, Marketing Analytics, CRM Analytics, Customer Analytics, Strategic Recommendation, KPI Tracking, Experimental Design

Industry

Utilities

Description

Company Description Hello, we're UW 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. Learn more about life in our Tech teams here. Got your attention? Read on... Job Description 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 an Analytics Engineer, 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: SQL Proficiency: 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 Why join UW? 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. Our 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%. Flexible working. 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? Let us decide! 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/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. Employment Status: Full-Time

Responsibilities

The Analytics Engineer will design and develop scalable data models to enable high-quality analytics and drive business growth. They will translate ambiguous business problems into analytical frameworks and track key metrics to improve core business KPIs.