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Looker ML Consultant

CV Library
CompanyCV Library
CategoryData & Analytics
LocationNot specified
Remote
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
First seen2 Aug 2026 (the employer did not state a posting date)
Last verified7 Aug 2026
SourceThe employer's own careers page (company_site)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
Location: Port Talbot, UK (Hybrid - 1 day/month onsite) Contract: 6 Months Looker ML Consultant We're supporting a major UK enterprise undergoing a large-scale data and digital transformation and are seeking an experienced Looker ML Consultant to drive enterprise-wide adoption of self-service analytics and AI-powered business intelligence. This is a customer-facing consulting role where you'll work closely with business stakeholders, data teams and cloud specialists to implement modern analytics solutions using Google Cloud technologies. You'll help define best practices, build trusted semantic models, enable business users, and promote adoption of conversational and AI-driven analytics. Responsibilities Lead enterprise adoption of Google Looker and self-service analytics. Design and develop LookML models, Explores, and dashboards. Build trusted semantic layers and reusable analytics assets. Deliver AI-enabled analytics using Looker Conversational Analytics and Gemini capabilities. Partner with business stakeholders to identify high-value analytics use cases. Design scalable reporting solutions and governance standards. Deliver demonstrations, workshops, and user training. Collaborate with Google Cloud and data engineering teams. Promote analytics best practices across the organisation. Support enterprise change management and platform adoption. Required Skills Google Looker, LookML, Semantic Modelling, Explores, Dashboard Development, BigQuery, Google Cloud Platform (GCP), Conversational Analytics, Gemini, Data Governance, Stakeholder Management, BI Consulting, Self-Service Analytics Nice to Have • Manufacturing • Enterprise Data Platforms • Data Warehousing • SQL • Data Modelling • Change Management • User Adoption Programmes • Analytics Strategy