76 to 100 of 345 Permanent Looker Jobs

Management experience focused on BI and internal data tools Technical experience with: Cloud platform (AWS, GCP or Azure) SQL (intermediate to advanced) Python (some experience required) Visualisation tools (Tableau, Looker, or Power BI) Interview Process Intro Conversation - with the Co-Founder (30-45 mins) Live Task - screen-sharing session with a technical team member Final In-Person Interview - collaborative challenge More ❯

embrace discomfort and a commitment to learning and growth. Requirements: Strong academic background. Minimum of 5 years of experience in business intelligence, data analysis, or related fields. Expertise in Looker and proficiency in SQL. Advanced Excel skills, including complex formulas, pivot tables, and data visualization. Experience scaling BI functions in a venture-backed startup environment. Excellent communication and collaboration skills More ❯

insights, or a related field, ideally within media, publishing, or a subscription-driven business Strong experience with data analytics tools (SQL, Python, R) and BI platforms (e.g., Power BI, Looker, Tableau) Proven track record of designing and interpreting segmentation, retention, and LTV models Familiarity with audience data from multiple sources (CRM, digital analytics, surveys, social, etc.) Experience influencing cross-functional More ❯

Bring 3+ years in analytics engineering, data engineering, or BI roles Deep experience with SQL (Python a bonus) Familiarity with modern data stacks: Fabric, BigQuery, Fivetran/Stitch, dbt, Looker/Hex/Metabase etc. Strong understanding of data modelling principles (dimensional models, slowly changing dimensions etc.) Track record of collaborating across functions and delivering impact Bias for shipping - you 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 ❯

similar You’ll bring: Strong experience in people analytics, insights or strategic HR reporting Skilled in analysis tools (e.g. Excel, SQL, Python) and visualisation platforms (e.g. Power BI, Tableau, Looker). Confidence working with large, complex data sets – ideally from systems like Oracle or similar HRIS A collaborative approach, with the ability to build credibility quickly with senior stakeholders Excellent 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 ❯

Intelligence role, with 2+ years as a manager or team lead • Proven experience building and delivering client-facing outputs using Tableau or an equivalent BI tool (Metabase, Power BI, Looker etc.) • Prior experience delivering and owning a reporting cycle (monthly or quarterly) with evidence improving processes while maintaining high quality • Strong SQL skills and experience with relational databases (e.g. Postgres More ❯

to communicate findings and insights to stakeholders across the business. YOUR SKILLS AND EXPERIENCE Strong Google Analytics and SQL experience Experienced in data visualization tools such as Power BI, Looker, etc. Excellent stakeholder management skills BENEFITS Up to £45,000 Opportunity to grow and develop your career HOW TO APPLY Please register your interest by sending your CV to Lauren 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 ❯

ability to document processes effectively Desirable Skills: GCP Professional Data Engineer certification Exposure to Agentic AI systems or intelligent/autonomous data workflows Experience with BI tools such as Looker Exposure to Databricks, Snowflake, AWS, Azure or DBT Academic background in Computer Science, Mathematics or a related field This is an opportunity to work in a forward-thinking environment with 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

principles of data governance and privacy, data visualisation and analysis, activation and agents Familiarity with the Google Marketing Platform and Google Cloud toolset, specifically Google Analytics, Google Tag Manager, Looker Studio and BigQuery An insatiable appetite for AI with evidence of early adoption and a hand-on builder attitude A strong commercial mindset with an understanding of agency and consulting More ❯

and managing engineers in a fast-paced environment. Communication Skills: Able to clearly communicate with both technical and non-technical stakeholders. BI Familiarity: Comfortable working with tools like ThoughtSpot , Looker , or Tableau and supporting a self-service analytics culture. Process Orientation: You value strong documentation, scalable solutions, and consistent engineering standards. What We Offer A fully remote position within the More ❯

an analytics role in the gambling industry. Experience with CRM data analysis and customer segmentation. Knowledge of tensorflow/pytorch. Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. Experience in design and evaluation of A/B tests. Familiarity with Bayesian statistics, especially for hypothesis testing. Extra points for good knowledge of More ❯

Experience Proven experience working within the online advertising industry and working with 1st party data sets day-to-day. Hands on using business intelligence tools such as power BI, Looker, Tableau etc. Experience using DMP/CDP technology. Commercial exposure to ensure understanding between operational efficiency and revenue generation. Excellent understanding of data collection. Good working knowledge of Privacy regulations More ❯

in all our Digital Analytics processes, we require someone who is proficient in SQL. Also from a technical perspective, we would like to see some experience in Power BI, Looker Studio as well Web Analytics tools. We also require someone with a good understanding of the data layer to help with further data debugging. Finally, we feel our digital analytics More ❯

want to hire people to grow into the role and beyond. About the team: Python is our bread and butter. The wider data platform team uses dbt, Snowflake, and Looker to model, transform, and expose data for analytics and reporting across the business. We use Docker and Kubernetes to manage our production services. We use Github Actions for continuous integration More ❯

of machine learning. Key Focus Areas Own and execute enterprise data strategy Build and lead a multi-disciplinary data & AI team Drive modern data platform development (dbt, Airflow, Snowflake, Looker/Power BI) Deliver business-critical analytics and reporting Support responsible AI/ML initiatives Define data governance, privacy, and compliance frameworks What We're Looking For Proven data leadership More ❯