1 to 25 of 85 Remote Looker Jobs in London

or a related role Proficiency in SQL and querying from a variety of data sources (databases, data warehouses, SaaS reporting applications) Experience with BI tools (ThoughtSpot, Tableau, Power BI, Looker, or similar) Strong Excel skills, including pivot tables, advanced formulas, and data modelling Understanding of statistical concepts and data visualisation principles Optional: Programming experience in Python or R for data More ❯

modelling, schema design, and building maintainable ELT/ETL pipelines Experience with cloud platforms (AWS, Azure, GCP) and infrastructure-as-code practices Familiarity with data visualisation tools (Tableau, PowerBI, Looker) and analytics frameworks Leadership & Communication Proven experience leading technical work streams and mentoring junior team members Exceptional communication skills with ability to explain complex technical concepts to both technical and More ❯

an analytical engineering or data analytics role. Proficiency in SQL with regular hands-on experience (Mandatory). Experience designing, building and maintaining dashboards in visualisation tools such as Tableau, Looker or Periscope. Ability to contribute to the development of data and analytical solutions. Problem solving and critical thinking skills including debugging and QA-ing data models and output. Excellent communication More ❯

event-based systems and near real-time data streaming a plus. Strong communication skills - able to explain technical decisions to non-technical stakeholders. Bonus: Exposure to modern analytics tools (Looker, Metabase, Mode, Tableau) and event tracking standards (Snowplow, Segment). Experience supporting game economy telemetry, player segmentation, and A/B testing. Interest in game development and/or mobile More ❯

product analytics role, preferably within a B2B SaaS environment at a fast-moving organisatrion Strong analytical skills with proficiency in SQL and data visualization tools (e.g., Power BI, Tableau, Looker) Experience with product analytics platforms (e.g., Heap, Mixpanel, Google Analytics) Ability to analyze large datasets, synthesize findings, and present them in a meaningful way to both technical and non-technical More ❯

You have strong analytical and communication skills; ability to influence stakeholders and translate complex requirements clearly You have experience with data visualization/reporting tools (e.g. Tableau, Power BI, Looker) You have SQL or data querying experience to support analysis and validation You are fluent in English Our Benefits An opportunity to work in a fast growing fintech revolutionizing investment More ❯

Analyst preferably within a retail or consumer-focused environment. Strong proficiency in SQL for querying and manipulating large datasets. Expertise in data visualization tools such as Tableau, Power BI, Looker, or similar, with a portfolio of impactful dashboards. Advanced Microsoft Excel skills (pivot tables, VLOOKUPs, complex formulas). Understanding of key retail metrics and commercial drivers. Experience working within an More ❯

build efficient, robust, and scalable solutions based on requirements. Knowledge of orchestration and version control tools like Airflow and GitHub. In-depth knowledge of data visualization tools such as Looker or Tableau. Collaborative working style with a desire to share knowledge and enable team growth. Positive, enthusiastic, and team-oriented attitude. Attention to detail to ensure data accuracy, consistency, and More ❯

data quality, accuracy, and compliance What You'll Bring Advanced experience in business intelligence within a marketing, media, or customer analytics setting Proven expertise with Power BI, Tableau, or Looker , and data scripting tools like SQL, Python or R Strong domain knowledge of digital performance metrics , CRM data , and lifecycle marketing KPIs (e.g. CLTV, engagement, retention) Understanding of ATL measurement More ❯

and sense of ownership. Innate passion and curiosity Experience with a scientific computing language (such as R or Python) Experience with BI/Visualization tools like Tableau, Superset and Looker Experience with data modeling and ETL pipelines Experience working with product teams Experience leveraging AI tools to boost efficiency and creativity across the data science workflow - from ideation and coding More ❯

level of data literacy, preferably with experience as either Business Analyst, BI Analyst, Data Analyst or Process Analyst Strong Data Skills: SQL, spreadsheets, data visualisation/BI tools (e.g. Looker), and Python/R for more advanced analysis. Business Acumen: Understanding of business processes, financial concepts, macroeconomic trends, and industry-specific trends. Analytical Thinking: Ability to identify problems, ask the More ❯

change Advanced knowledge of project/product management platforms (JIRA & Confluence strongly preferred) Advanced knowledge of common data-manipulation tools (SQL, Google Sheets) Advanced knowledge of data analytics platforms (Looker preferred) Experienced in both lean and agile methodologies (Scrum, Kanban) IIBA-CCBA certification preferred Basic proficiency in at least one of the most commonly used backend programming languages (Python, Node.JS More ❯

or can show strong analytical thinking from another context (internships, projects, academics). You are comfortable working with SQL to query data and are familiar with BI tools like Looker, Tableau, or Power BI. You enjoy finding patterns in data and telling stories with numbers. You're organised, curious, and able to manage multiple tasks and priorities with attention to More ❯

or can show strong analytical thinking from another context (internships, projects, academics). You are comfortable working with SQL to query data and are familiar with BI tools like Looker, Tableau, or Power BI. You enjoy finding patterns in data and telling stories with numbers. You're organised, curious, and able to manage multiple tasks and priorities with attention to More ❯

communication skills, with a proven ability to collaborate effectively with technical and non-technical teams, as well as influence decision-making. Proficiency in BI tools (e.g., Tableau, Power BI, Looker, SQL) to support data-led investigations and risk analytics. A proactive, strategic thinker with a strong sense of accountability, a solutions-focused approach, and the ability to manage multiple priorities More ❯

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 ❯

or in a similar data engineering/BI role Advanced SQL skills with hands-on experience using dbt for data modeling Strong familiarity with modern data platforms like Snowflake, Looker, AWS/GCP, Tableau, or Airflow Experience with version control tools (e.g., Git) Ability to design, build, and document scalable, reliable data models Comfortable gathering business requirements and translating them More ❯

that support strategic decision-making and improve underwriting profitability. Analyse portfolio performance across all insurance products (Home, Motor & Pet). Develop and maintain dashboards and reports using tools like Looker, Excel, and SQL. Support pricing, underwriting, claims and finance teams with data insights to refine pricing and risk selection strategies. Monitor key performance indicators (KPIs) and identify trends, anomalies, and More ❯

other scripting languages Good working knowledge of the AWS data management stack (RDS, S3, Redshift, Athena, Glue, QuickSight) or Google data management stack (Cloud Storage, Airflow, Big Query, DataPlex, Looker) About Our Process We can be flexible with the structure of our interview process if someone's circumstances or timescales require it but our general structure is: 20-30 minute More ❯

in conducting and managing complex financial crime investigations (e.g., L3, major cases) with a demonstrable track record of successful outcomes. Experience with data visualization tools (e.g., Tableau, Power BI, Looker) for creating impactful reports and dashboards. Solid understanding of financial crime typologies (e.g., money laundering, terrorist financing, sanctions evasion), AML/CFT regulations, and regulatory expectations concerning investigations, risk modelling More ❯

Commercial Analyst, Business Analyst, or FP&A role-preferably in a SaaS environment. Strong understanding of SaaS metrics and business models. Proficiency in Excel, SQL, and BI tools (e.g., Looker, Tableau, Power BI). Experience working with CRM and revenue platforms such as Salesforce, HubSpot, or Chargebee. Strong business acumen and communication skills-able to influence decisions through data storytelling. 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 ❯

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 ❯

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 ❯