76 to 100 of 359 Looker Jobs in the UK

statistical methods (e.g. uplift modelling) Confident stakeholder manager — able to work with senior non-technical teams and influence decision-making Experience with data visualisation tools (Power BI, Tableau, or Looker) Familiarity with modern data practices — version control, Git, productionising workflows Bonus: experience with marketing automation platforms like Iterable More ❯

Insurance data familiarity: placements, claims, policies, underwriting Effective stakeholder communication and delivery focus Strong project and time management in fast-paced environments Desirable Tools and Tech Power BI, Tableau, Looker, Domo Data governance and metadata management tools DevOps for data workflows, hybrid/multi-cloud architectures Monitoring and cost optimisation tools (Azure Monitor, GCP cost tools) Culture and Conduct Act More ❯

meet the Government Digital Service (GDS) standards. Key Responsibilities: Analyse and communicate service performance data to drive improvement Develop dashboards and KPIs using tools like Power BI, Google Analytics, Looker Studio, etc. Work alongside designers, developers, and user researchers to embed data-driven decision-making Lead GDS performance framework assessments Mentor junior analysts and contribute to internal communities of practice More ❯

platforms. Good communication skills with the ability to work effectively with both technical and non-technical teams. Some experience or willingness to work with BI tools such as ThoughtSpot, Looker, or Tableau. A process-driven approach valuing documentation, scalable solutions, and engineering best practices. What We Offer Hybrid working with 2 days per week in our London office. A supportive More ❯

similar BI tools) for visualisation and secure data sharing What We're Looking For : Strong SQL and data modelling skills Proven experience with Snowflake and DBT Familiarity with Sigma, Looker, Power BI, or similar BI/data sharing tools Ability to design scalable, customer-focused data models Experience in enterprise-level data platforms and event-driven architectures is a plus More ❯

similar BI tools) for visualisation and secure data sharing What We're Looking For : Strong SQL and data modelling skills Proven experience with Snowflake and DBT Familiarity with Sigma, Looker, Power BI, or similar BI/data sharing tools Ability to design scalable, customer-focused data models Experience in enterprise-level data platforms and event-driven architectures is a plus More ❯

Advanced proficiency in PowerBI Advanced proficiency in Excel Advanced proficiency with DAX functions and SQL Familiarity with Salesforce, JIRA, Microsoft Office, Microsoft SQL Server Management Studio Experience with Google Looker is a plus APICS or other relevant certifications. Education/Experience Minimum of 5+ years of experience in supply chain analytics or related roles, with a focus on high-tech More ❯

notebooks, Plotly/matplotlib, etc) A drive to solve problems using data Experience in a management role What would be a bonus: Familiarity with Git Data visualization tool (Tableau, Looker, PowerBI or equivalent) DBT 2-5 years experience of consumer credit risk or collections in the financial services, utilities or telecommunications industries Why else you'll love it here Wondering More ❯

managing multiple workstreams, aligning resources, and delivering through others. Technical understanding: Strong SQL fluency and experience overseeing analytics products built in Metabase or equivalent BI tools (Tableau, Power BI, Looker) Communication: Able to distil complex analyses into business-relevant insights and present them credibly across all levels, from squads to exec forums. Visualisation: Builds well-structured dashboards in Metabase or More ❯

Product feature? What could be driving this correlation and how can this help us achieve our business objectives? etc.. ). Qualifications Intermediate level of SQL, Python, BI Tools (e.g. Looker, PowerBI, Tableau) and Product Analytics Tools (e.g. Adobe Analytics, Amplitude, Mixpanel). Ability to set up behavioural tracking measurement plans (e.g. designing events schemas). Strong analytical skills, including A More ❯

S3, ECS, Lambda Data Governance & Quality - Collate & Monte Carlo Infrastructure as Code - Terraform Data Integration & Transformation - Python, DBT, Fivetran, Airflow CI/CD - Github Actions/Jenkins Business Intelligence - Looker Experience and Attributes we'd like to see Platform Engineering Expertise Extensive experience in platform engineering; designing, building, and maintaining robust and scalable components used for enabling key business initiatives. More ❯

teams within the brand Key Selection Criteria 5+ years experience in Business Intelligence Experience as a Business Intelligence Developer/BI Engineer/Data Analyst or similar Expertise in Looker (or similar BI platform) and GCP or similar cloud platform You use SQL in your day-to-day work. This is incredibly important Strong analytical skills and ability to derive More ❯

Manages own tasks reliably as part of a sprint team, balancing speed and quality. Visualisation skills: Designs clean, usable dashboards in Metabase (or experience with equivalent tools like Tableau, Looker, PowerBI). Collaborative mindset: Works well in cross-functional teams and contributes to team rituals (e.g. planning, retrospectives). Education & Experience: You have a degree in a quantitative field such More ❯

Manages own tasks reliably as part of a sprint team, balancing speed and quality. Visualisation skills: Designs clean, usable dashboards in Metabase (or experience with equivalent tools like Tableau, Looker, PowerBI ). Collaborative mindset: Works well in cross-functional teams and contributes to team rituals ( e.g. planning, retrospectives). Education & Experience: You have a degree in a quantitative field such More ❯

to business context. Delivery ownership: Independently leads high-impact projects from discovery through implementation. Visualisation skills: Designs clean, usable dashboards in Metabase (or experience with equivalent tools like Tableau, Looker, PowerBI). Team contribution: Mentors others, shares knowledge, and strengthens analytics delivery through collaboration. Education & Experience: You have a degree in a quantitative field such as Geography, Statistics, Engineering, or More ❯

for end-users and Enterprise customers, translating feedback into strategic improvements. Excel/Google Sheets: Advanced proficiency for data modeling and forecasting. Business Intelligence tools (e.g., Tableau, Power BI, Looker): For reporting and dashboarding. Presentation tools (e.g., PowerPoint, Google Slides): Ability to create clear and compelling strategy documents and presentations. Living our Values We invest in, nurture and support innovative More ❯

and data modelling Experience with Data integration, master data management (MDM), and designing scalable data pipelines Data Privacy, regulatory compliance, and security best practices BI Tools: Power BI, Tableau, Looker Proficient in data modelling, SQL, and cloud platforms - Azure, AWS, GCP and their Data services Key Responsibilities Define and implement data architecture strategies in line with the Customer Journey programme More ❯

and data modelling Experience with Data integration, master data management (MDM) and designing scalable data pipelines Data Privacy, regulatory compliance, and security best practises BI Tools Power BI, Tableau, Looker proficient in data modelling, SQL, and cloud platforms - Azure, AWS, GCP and their Data services Key Responsibilities Define and implement data architecture strategies in line with the Customer Journey programme More ❯

experience in a working environment e.g. internships or placement years STEM degree with a minimum of a 2:1 Dashboarding/reporting experience - any tool, e.g. Power BI, Tableau, Looker or equivalent HOW TO APPLY If this sounds like the role for you, swiftly send over your CV to Izzi at Harnham by using the link below. KEY TERMS IBM More ❯

ideally within product or growth teams Strong SQL skills – confident querying complex datasets AB testing and experimentation experience Experience working in cross-functional environments Comfortable with data visualisation tools (Looker, Tableau, Power BI – they're open) A passion for storytelling with data and driving measurable impact Why Apply? Remote-first working with rare office days (once every 2–3 months More ❯

ideally within product or growth teams Strong SQL skills – confident querying complex datasets AB testing and experimentation experience Experience working in cross-functional environments Comfortable with data visualisation tools (Looker, Tableau, Power BI – they're open) A passion for storytelling with data and driving measurable impact Why Apply? Remote-first working with rare office days (once every 2–3 months More ❯

ideally within product or growth teams Strong SQL skills - confident querying complex datasets AB testing and experimentation experience Experience working in cross-functional environments Comfortable with data visualisation tools (Looker, Tableau, Power BI - they're open) A passion for storytelling with data and driving measurable impact Why Apply? Remote-first working with rare office days (once every 2-3 months More ❯

Skills and Experience Proven experience working with large customer or commercial datasets Strong SQL skills and comfort with Excel or Google Sheets Experience with visualisation tools (e.g., Power BI, Looker, Tableau) Comfortable working cross-functionally with product, marketing, and ops teams A commercial mindset and the ability to translate data into business action Bonus if you've worked in a More ❯

Excellent SQL skills and experience with data modelling best practices Proven track record of building and maintaining end-to-end data solutions Experience with BI tools and dashboarding (e.g., Looker, Tableau, or similar) Strong stakeholder communication skills, with the ability to translate technical concepts into business value Self-starter mindset with the ability to work autonomously and take ownership If More ❯

within fintech or cloud-native organisations (AWS preferred). Strong technical background in data engineering, analytics, or data science. Experience with modern data stacks (e.g., SQL, dbt, Airflow, Snowflake, Looker/Power BI) and AI/ML tooling (e.g., Python, MLflow, MLOps). A track record of building and managing high-performing data teams. Strategic thinking and ability to influence More ❯