Utility Warehouse
Utilities
DataAnalyst
“Data Analyst at Utility Warehouse. Skills: Data-to-Insight value chain, Analytics Engineering, Stakeholder Management. Own the complete 'Data-to-Insight' value chain. Build production-grade data pipelines”
What You'll Achieve.
Ensure data transformation logic is reproducible; Ensure data assets are tested and version-controlled; Ensure scalability and accuracy across business functions; Deliver actionable insights; Recommend what to do next; Users access KPIs/metrics; Users explore/analyse pre-built data sets
Industry & Context.
Translating complex data into actionable business insights; Move beyond 'what happened' to explain 'why it happened'
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)
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
Design analytics layer data models
Maintain automated pipelines
Transform raw data into strategic assets
Build and maintain end-to-end analytics models
Apply version control practices
Ensure data assets are stable
Proactively tune for performance
Address data quality alerts
Plan and execute requests
Translate complex data into insights
Build visual self-serve dashboards
Manage the full request lifecycle
Engage with stakeholders
Refine requests into requirements
Provide accurate estimations
Deliver within timelines
Develop deep domain knowledge
Understand impact of key metrics
Participate in defining team goals
How You'll Work.
Team & Collaboration
Manage stakeholders; Support non-technical teams
Communication Scope
Soft skills to manage stakeholders; Clear data storytelling
Process & Methodology
Independent management of deployment lifecycle, Plan and execute medium-to-large requests, Provide accurate estimations, Deliver within agreed timelines
Applying for this Data Analyst role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on SmartRecruiters
- SmartRecruiters often includes a video screening step — check camera and mic permissions.
- Link your GitHub or portfolio directly in the profile section for technical roles.
- Applications may be reviewed by AI scoring before reaching a recruiter — use keywords from the job description.
ANONYMOUS · UNFILTERED
What do employees actually say about Utility Warehouse?
Real rants from real employees. Read before you apply.