26 to 50 of 85 Looker Jobs in the UK

Product, Engineering & ML teams Help build self-serve analytical capabilities What you'll bring Strong SQL (day-to-day level) Python exposure (nice to have) Experience with BI tools (Looker/PowerBI/Tableau) Comfort working with ETL workflows Strong communicator with commercial awareness Confident presenting to non-technical stakeholders Why apply? Up to £65k base 1 day a week More ❯

of loyalty participation. Benchmark competitor loyalty schemes and propose differentiators. Share insights globally to replicate successful loyalty initiatives. Requirements: Advanced SQL and experience with a dashboarding tool (Tableau/Looker). Strong understanding of loyalty programmes, CRM strategy, and customer engagement. Experience in loyalty analytics in e-commerce, retail, or telco environments. Analytical skills to interpret data and strategic mindset More ❯

Data, Engineering and Marketing. You're curious, playful, straight-up - and data for you is a way to make decisions simpler Useful experience to have with visualization such as Looker/Power BI, feature flag platforms, ML experience. This is a permanent role, offering hybrid working with a requirement of three days a week in the office. The offices are More ❯

Highly organised, able to manage multiple priorities, and comfortable working in a fast-paced environment. Strong collaborator with experience working across cross-functional teams. Nice to Have Experience with Looker or ThoughtSpot. Familiarity with Redshift or BigQuery. Experience designing and interpreting A/B or multivariate experiments. What's in it for you Be part of a global, mission-driven More ❯

loyalty, retention, and acquisition. What You'll Do: Analyse customer behaviour across the lifecycle using SQL and modern analytics tools. Deliver actionable insights through dashboards and storytelling (Tableau/Looker). Run and evaluate A/B and multivariate tests to inform marketing and growth strategies. Support growth targets by identifying opportunities to move customers through lifecycle stages. Collaborate with More ❯

data-driven, shaping commercial and product decisions. YOUR SKILLS AND EXPERIENCE Experience in product analytics, within B2C consumer tech businesses Strong SQL skills essential. Proficiency with data visualisation tools (Looker preferred, open to others). Experience with Python desirable. Product analytics expertise: experimentation, dashboarding, and driving product strategy. Excellent communication and stakeholder management skills. Experience influencing product roadmaps and delivering More ❯

and creating actionable insights from complex datasets AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics Tools: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL Preferred Qualifications Experience with AI/ML model evaluation or quality assurance Background in finance or willingness to learn finance domain concepts Experience with multi-dimensional failure analysis More ❯

AND EXPERIENCE: Significant experience working with data in an analytical role, ideally in a consumer/tech company. Proficiency in SQL, dbt, Python, R and BI tools such as Looker, Lightdash or Tableau. Ability to translate business problems into analytical tasks and communicate insights clearly at all levels. AB testing/experimentation experience Strong data storytelling and presentation skills to More ❯

science. The Candidate Proven experience in analytical roles, ideally within a digital-first or tech-led business. Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash). Ability to translate business challenges into clear analytical projects and recommendations. Strong data storytelling and presentation skills, with confidence engaging senior stakeholders. Curious, proactive, and detail-oriented More ❯

with the ability to write structured and efficient queries on large data sets. Experience with dbt, Python or R, is a plus. Development experience with BI platforms such as Looker, Tableau, or Power BI. Benefits included for Data Scientist - Category Management : Comprehensive medical and dental insurance. Company Shares/RSU Annual bonus Hybrid role - 3 days in office Employee discount. More ❯

conversion tags and tracking pixels. Consent & Compliance: Working knowledge of cookie consent configuration and Google Consent Mode v2. Data Visualisation: Skilled in creating dashboards and visual reports, ideally using Looker Studio or similar tools. Problem Solving: Identify and resolve data discrepancies, tracking errors, or reporting gaps. Strategic Insights: Turn data into recommendations that inform campaigns, KPIs, and overall client strategy. More ❯

We're Looking For Strong SQL skills and experience working with large datasets Comfortable using Python for product analytics Experience with product experimentation/A-B testing Familiarity with Looker, Tableau, or similar BI tools Confident communicator who can simplify complex data for stakeholders Curious, proactive, and thrives in a fast-paced product environment Why Apply Work on high-impact More ❯

tools to streamline processes or surface insights. Strong analytical and strategic thinking skills; able to turn data into actionable insight. Proficiency with CRM and analytics tools (e.g., HubSpot, Salesforce, Looker, Airtable, Notion). Excellent project management and communication skills. Experience scaling marketing processes in a high-growth environment. A systems mindset with a bias toward clarity, efficiency, and measurable impact. More ❯

and provide actionable recommendations.Maintain a central insights hub with documented reports and metric definitions. Skills & Experience: Proficiency in SQL and Python; experience with dbt and visualization tools (Lightdash/Looker).Broad product analytics/data science experience in consumer tech.Strong stakeholder engagement and storytelling skills. Send your CV to register your interest. Please note we cannot offer sponsorship for this More ❯

and provide actionable recommendations.Maintain a central insights hub with documented reports and metric definitions. Skills & Experience: Proficiency in SQL and Python; experience with dbt and visualization tools (Lightdash/Looker).Broad product analytics/data science experience in consumer tech.Strong stakeholder engagement and storytelling skills. Send your CV to register your interest. Please note we cannot offer sponsorship for this More ❯

s transforming the way customers connect with everyday services. You'll play a key part in building and optimizing modern data pipelines, supporting a major migration from Tableau to Looker, and ensuring the delivery of clean, reliable, and scalable data solutions. The team operates with a strong focus on collaboration, innovation, and autonomy, giving you the chance to influence data More ❯

internal linking structure to improve organic visibility and user experience. Track and report on SEO performance across key KPIs using tools like Google Search Console, GA4, Ahrefs, SEMrush, and Looker Studio. Collaborate with web developers and stakeholders to implement technical recommendations and structured data improvements. Monitor algorithm changes and adjust strategies accordingly to maintain search performance. Content Strategy & Editorial Planning More ❯

Skills: Advanced Excel/Google Sheets modeling (3-statement and driver-based models). Strong analytical and storytelling ability — can turn data into actionable insights. Proficiency with BI tools (Looker, Tableau, Metabase) and CRM data. Experience with accounting and ERP systems (Xero, NetSuite, Sage Intacct). Mindset: Low ego, high curiosity — thrives in ambiguity and scaling environments. Detail-oriented but More ❯

delivery and backlog management. Excellent communication and stakeholder management skills, able to influence without authority. Familiarity with Agile tools such as Jira and Confluence and BI tools such as Looker Studio or similar. The confidence and curiosity to act as the subject matter expert and go-to contact for your domain. A focus on measurable outcomes with a clear ability More ❯

pivot tables, and data checks Experience with SQL is a plus, or a willingness to learn basic querying Familiarity with marketing platforms or reporting tools like Datorama, Tableau, or Looker is an advantage Bonus Points If You: Have supported data governance or QA in a marketing analytics context Understand basic media performance metrics (e.g., impressions, CTR, conversions) Have experience managing More ❯

Strong record in managing teams, coaching junior team members to rapidly develop their strategy and ops toolkits Strong analytical skills, including data modelling and working with data reporting tools (Looker, Tableau) Excellent written and verbal communication and presentation skills An outstanding record of academic achievement Fintech, financial services or technology experience in a high growth environment is advantageous At Airwallex More ❯

you'll do Tackle business-critical analytics challenges - not pipeline engineering. Use SQL, Python, dbt, and a modern data warehouse (BigQuery or equivalent). Build BI models and dashboards (Looker/Power BI/Omni-style tools). Analyse marketing performance, ad spend, attribution signals, and customer behaviour. Support Finance with forecasting, reporting, and KPI modelling. Lead retention, churn, and … customer analytics exposure. Strong SQL skills with experience in dbt or similar modelling frameworks. Experience with modern cloud data warehouses (BigQuery, Snowflake, Redshift, etc.). Skilled in dashboarding tools (Looker, Power BI, etc.). Comfortable working with Marketing/User Acquisition teams. Understanding of advertising platform constraints (Meta, Google, mobile tracking). Excellent stakeholder communication and ability to work autonomously. More ❯

Drupal, Umbraco, Shopify, etc. - Experience using SEO tools such as SE Ranking, Majestic SEO, Screaming Frog, HotJar, VWO, etc. - Experience using Google products: Analytics (GA4), Search Console, Tag Manager, Looker Studio, Business Profiles, Google Ads. The ideal candidate will have a good understanding of the above areas and also be comfortable working with timesheets, due to the nature of the More ❯

product lifecycle from discovery to launch and iteration, with a strong focus on monetization, engagement, and retention. Leverage Advanced Data Tools: You will use advanced data tools (Amplitude, Hex, Looker) to guide strategy, improve processes, and translate complex data into clear, actionable insights for the leadership team. Collaborate for Global Impact: You will work closely with other leaders and teams More ❯

believe in the power of data collaboration and are committed to customer success. Technical Prowess: Possess a strong understanding of the data ecosystem and technologies like Snowflake, BigQuery, Tableau, Looker, dbt etc. Strategic Mind: You can translate customer needs into actionable insights and product improvements and help customers achieve & measure ROI. Commercial Management: Experience driving renewals and identifying expansion opportunities. More ❯