Utility Warehouse

Data Analyst

• Join a small Business Intelligence team working within Operational Support
• Interrogate data in Google Big Query and develop data pipelines for analysis and reporting
• Build a portfolio of reports and dashboards using Looker Studio
• Ensure business alignment, active adoption and trust in numbers
• Curate trusted data models to enable self service analytics
• Manage the access and distribution of reports
• Adopt best practice data management techniques
• Be accountable for servicing information to our operations managers and team leaders

Data Analyst – Business Intelligence

Data Scientist

• Design and execute advanced statistical and predictive models to understand the key drivers of customer behaviour, retention, and engagement.
• Develop and refine sophisticated models to measure and predict key commercial outcomes and customer behaviours (e.g., lifetime value, acquisition efficiency), providing critical insights to our marketing and commercial teams.
• Own the complete development lifecycle for your machine learning models, from data gathering, feature engineering, and POC to model training, validation, and production deployment.
• Partner with our Machine Learning and Software Engineering teams to deploy your models as scalable, reliable, and robust services using Docker and Kubernetes.
• Clearly document and communicate complex findings, model results, and actionable insights to both technical and non-technical stakeholders.
• Keep up to date with the latest research and developments in data science, machine learning, and MLops, and champion new approaches within the team.

Data Scientist – Mid-Senior Level

Full-stack Engineer

• You’ll help evolve our signup and ordering flows into a resilient, scalable platform capable of supporting UW’s next phase of growth.
• Improving resilience, scalability and system reliability.
• Raising engineering standards across observability, SLAs and deployment quality.
• Contributing to key launches (including partner rollout and rebrand work).
• Supporting distributed system improvements and database migration projects.
• Work primarily in Go, GraphQL, Docker & Kubernetes.
• Break down complex work and deliver with minimal oversight.
• Maintain strong engineering standards across code, documentation and security.
• Own deployments within the team’s Kubernetes namespace.
• Mentor mid-level engineers through pairing, PR reviews and technical leadership.
• Collaborate with product/design to refine scope and solve problems pragmatically.

Senior Software Engineer – Growth

• Act as a strategic partner to stakeholders, translating business challenges into data-driven opportunities
• Proactively analyse operational performance to pinpoint areas within Operations that need improvement, uncover root causes, and recommend impactful, measurable solutions
• Transform large, complex datasets into clear insights that influence decision-making and drive business growth
• Design, build, and maintain compelling dashboards and reports (e.g., Looker Studio) that provide real-time visibility into key metrics and trends
• Work cross-functionally with BI Analysts, Data Engineers, and other teams to ensure data integrity, consistency, and availability
• Present findings in a clear, compelling manner to audiences at all levels, from technical teams to senior leadership
• Lead the development and adoption of data governance best practices, ensuring accuracy, compliance, and transparency in reporting
• Continuously identify opportunities to automate processes, enhance reporting efficiency, and innovate in analytics delivery

Business Data Analyst – Business Intelligence

• Act as a strategic partner to stakeholders, translating business challenges into data-driven opportunities.
• Proactively analyse operational performance to pinpoint areas within Operations that need improvement, uncover root causes, and recommend impactful, measurable solutions.
• Transform large, complex datasets into clear insights that influence decision-making and drive business growth.
• Design, build, and maintain compelling dashboards and reports (e.g., Looker Studio) that provide real-time visibility into key metrics and trends.
• Work cross-functionally with BI Analysts, Data Engineers, and other teams to ensure data integrity, consistency, and availability.
• Present findings in a clear, compelling manner to audiences at all levels, from technical teams to senior leadership.
• Lead the development and adoption of data governance best practices, ensuring accuracy, compliance, and transparency in reporting.
• Continuously identify opportunities to automate processes, enhance reporting efficiency, and innovate in analytics delivery.

Backend Engineer

• Play a significant role in releasing UW’s new signup journey.
• Ensure a high standard of quality in both code and feature deployment.
• Contribute effectively to all parts of the development lifecycle, including defining requirements.
• Write readable, well-documented code and test it appropriately.
• Identify and communicate project roadblocks.
• Review other engineers’ code and provide constructive feedback.
• Collaborate closely with cross-functional teams, including UI/UX designers, product owners, and software engineers.

Software Engineer – Golang

Customer Support

• First point of contact for customers across phone, email, and live chat
• Troubleshoot telecoms issues from service entry point (phone socket) to some device support
• Manage faults such as slow internet, poor/no connectivity, noisy line or no dial tone
• Handle data and email retrieval issues, billing and barring issues, and take payments
• Offer new or additional services where appropriate
• Aim for First Call Resolution and meet KPIs (Customer Ease Score, Average Handling Time, Quality & Compliance)
• Support colleagues across other areas when required
• Participate in 4 weeks remote training and ongoing development

Customer Service Advisor

• Turn data into insights to support decision-making across departments.
• Work closely with stakeholders to understand business needs and translate challenges into data-driven opportunities.
• Proactively analyse operational performance to pinpoint improvement areas, uncover root causes, and recommend measurable solutions.
• Design, build, and maintain dashboards and reports (e.g., Looker Studio) providing real-time visibility into key metrics.
• Transform large, complex datasets into clear insights to influence decision-making and drive growth.
• Collaborate cross-functionally with BI Analysts, Data Engineers and other teams to ensure data integrity and availability.
• Present findings to audiences from technical teams to senior leadership.
• Lead development and adoption of data governance best practices.
• Identify opportunities to automate processes, enhance reporting efficiency, and innovate analytics delivery.
• Role is a 9-month fixed-term contract, starting immediately, remote based in the UK.

Business Data Analyst - Business Intelligence

• Act as a strategic partner to stakeholders, translating business challenges into data-driven opportunities
• Proactively analyse operational performance to pinpoint areas within Operations that need improvement, uncover root causes, and recommend impactful, measurable solutions
• Transform large, complex datasets into clear insights that influence decision-making and drive business growth
• Design, build, and maintain compelling dashboards and reports (e.g., Looker Studio) that provide real-time visibility into key metrics and trends
• Work cross-functionally with BI Analysts, Data Engineers, and other teams to ensure data integrity, consistency, and availability
• Present findings in a clear, compelling manner to audiences at all levels, from technical teams to senior leadership
• Lead the development and adoption of data governance best practices, ensuring accuracy, compliance, and transparency in reporting
• Continuously identify opportunities to automate processes, enhance reporting efficiency, and innovate in analytics delivery
• Role is a 9-month fixed term contract, remote role based in the UK

• Provide customer support via phone, email, and live chat
• Resolve customer inquiries and technical issues
• Maintain accurate customer records in CRM system
• Collaborate with internal teams to escalate complex issues