Utility Warehouse
Energy
DataAnalyst
“Data Analyst at Utility Warehouse. Skills: Data Modelling, SQL, Dataform, Looker. Own the complete "Data-to-Insight" value chain. Build production-grade data pipelines”
What You'll Achieve.
Ensure data transformation logic is reproducible, tested, and version-controlled; Ensure scalability and accuracy across business functions; Influence stakeholder decisions; Define team goals
Industry & Context.
Translating complex utility data into simple, transparent, and high-value digital experiences; Solving root causes, not just symptoms; Actionable Insight; Translate complex data into actionable business insights
Background check
What They're Looking For.
Must Have
Optimised, modular SQL (Intermediate - advanced proficiency), Building end-to-end, analytics-ready data models in Dataform, Engineering lifecycle (including Git/GitHub version control, merge conflict resolution, and automated unit testing), Building reusable LookML code within Looker, Independently lead medium-to-large analytical projects, Aligning analysis with business needs, Translating complex datasets into actionable insights, Maintaining high data standards through observability, Producing traceable documentation (Data Dictionaries), Support non-technical teams through clear data storytelling
Nice to Have
Experience in regulated utility or a similar high-volume consumer industry
What You'll Do.
Own the complete "Data-to-Insight" value chain
Build production-grade data pipelines
Drive domain-specific decisions
Build and maintain analytics layer data models
Build and maintain automated pipelines
Transform raw data into high-value strategic assets
Build and maintain end-to-end analytics-ready data models
Apply version control and unit testing practices
Address alerts about data quality
Plan and execute medium-to-large requests
Translate complex data into actionable insights
Build visual self-serve dashboards and reports
Manage the full request lifecycle
Develop deep knowledge of a specific domain
How You'll Work.
Team & Collaboration
Manage stakeholders; Support non-technical teams
Communication Scope
Communication; Data storytelling
Process & Methodology
Independent management of the deployment lifecycle, Plan and execute medium-to-large requests, Manage the full request lifecycle, Provide accurate estimations, Deliver within agreed timelines
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