101 to 125 of 479 Visualisation Jobs in London

senior stakeholders, connecting data to commercial outcomes Support the marketing team with ROI and attribution analysis Build and refine data models that enable continuous learning and performance tracking 📊 Data Visualisation & Storytelling You’ll create dashboards and reports that empower teams across the business to access insight quickly and confidently. Your visualisations will simplify complexity and help teams understand what matters More ❯

senior stakeholders, connecting data to commercial outcomes Support the marketing team with ROI and attribution analysis Build and refine data models that enable continuous learning and performance tracking 📊 Data Visualisation & Storytelling You’ll create dashboards and reports that empower teams across the business to access insight quickly and confidently. Your visualisations will simplify complexity and help teams understand what matters More ❯

meet the needs of complex, data-driven organisations. Strong SQL skills and a solid understanding of relational databases (e.g., PostgreSQL). Bonus: Advanced LookML knowledge and experience building data visualisation tools. Skilled in building and managing real-time and batch data pipelines using Kafka and DBT. Familiarity with Docker, Terraform, and Kubernetes for application orchestration and deployment. A strong numerical More ❯

experience in the retail sector (Essential) Experience of using SQL to pull and analyse customer and transactional level data from a relational database (Essential) Experience of using a data visualisation tool, such as Power BI, Tableau, or similar (Essential) Proven advanced Excel (Essential) Experience of Alteryx or similar data analytics tool (Strongly Preferred) Experience of managing & mentoring a team (Strongly More ❯

process improvements and contribute to agile delivery Requirements: Strong experience in Data Analysis within financial services Expertise in market or counterparty risk Technical skills with SQL and Python Data Visualisation skills with PowerBI, other Automation and Metrics knowledge handy. Proficiency with tools like Jira, Confluence, Excel, and SharePoint Familiarity with Agile, DevOps, and Site Reliability Engineering Excellent communication and stakeholder More ❯

process improvements and contribute to agile delivery Requirements: Strong experience in Data Analysis within financial services Expertise in market or counterparty risk Technical skills with SQL and Python Data Visualisation skills with PowerBI, other Automation and Metrics knowledge handy. Proficiency with tools like Jira, Confluence, Excel, and SharePoint Familiarity with Agile, DevOps, and Site Reliability Engineering Excellent communication and stakeholder More ❯

process improvements and contribute to agile delivery Requirements: Strong experience in Data Analysis within financial services Expertise in market or counterparty risk Technical skills with SQL and Python Data Visualisation skills with PowerBI, other Automation and Metrics knowledge handy. Proficiency with tools like Jira, Confluence, Excel, and SharePoint Familiarity with Agile, DevOps, and Site Reliability Engineering Excellent communication and stakeholder More ❯

process improvements and contribute to agile delivery Requirements: Strong experience in Data Analysis within financial services Expertise in market or counterparty risk Technical skills with SQL and Python Data Visualisation skills with PowerBI, other Automation and Metrics knowledge handy. Proficiency with tools like Jira, Confluence, Excel, and SharePoint Familiarity with Agile, DevOps, and Site Reliability Engineering Excellent communication and stakeholder More ❯

tools, analytics methods, and market best practices. About You: • Proven experience in data analytics, ideally within retail, leisure, or multi-market environments. • Strong Skills in SQL, Python, and data visualisation tools (Power BI preferred). • Experience in building models to deliver actionable insights. • Experienced with customer/CRM analytics and predictive customer segmentations. • Degree in a quantitative field (Statistics, Maths More ❯

tools, analytics methods, and market best practices. About You: • Proven experience in data analytics, ideally within retail, leisure, or multi-market environments. • Strong Skills in SQL, Python, and data visualisation tools (Power BI preferred). • Experience in building models to deliver actionable insights. • Experienced with customer/CRM analytics and predictive customer segmentations. • Degree in a quantitative field (Statistics, Maths More ❯

tools, analytics methods, and market best practices. About You: • Proven experience in data analytics, ideally within retail, leisure, or multi-market environments. • Strong Skills in SQL, Python, and data visualisation tools (Power BI preferred). • Experience in building models to deliver actionable insights. • Experienced with customer/CRM analytics and predictive customer segmentations. • Degree in a quantitative field (Statistics, Maths More ❯

tools, analytics methods, and market best practices. About You: • Proven experience in data analytics, ideally within retail, leisure, or multi-market environments. • Strong Skills in SQL, Python, and data visualisation tools (Power BI preferred). • Experience in building models to deliver actionable insights. • Experienced with customer/CRM analytics and predictive customer segmentations. • Degree in a quantitative field (Statistics, Maths More ❯

across departments. You work closely with stakeholders to understand business needs and translate them into low-code/no-code applications. You may also use Power BI for data visualization when needed. Your solutions aim to simplify data management, support decision-making, and minimize manual effort. Key Responsibilities Develop custom business applications using Power Apps and automate workflows with Power More ❯

across departments. You work closely with stakeholders to understand business needs and translate them into low-code/no-code applications. You may also use Power BI for data visualization when needed. Your solutions aim to simplify data management, support decision-making, and minimize manual effort. Key Responsibilities Develop custom business applications using Power Apps and automate workflows with Power More ❯

communication skills, with the ability to adapt presentation style and messaging to suit different audiences. Proficient in SQL (essential) and experienced with R or Python (preferred). Strong data visualisation expertise, using tools such as Power BI, Looker, or Tableau to present insights effectively. Extensive background in product, web, or digital analytics, ideally gained within an eCommerce or retail environment. More ❯

communication skills, with the ability to adapt presentation style and messaging to suit different audiences. Proficient in SQL (essential) and experienced with R or Python (preferred). Strong data visualisation expertise, using tools such as Power BI, Looker, or Tableau to present insights effectively. Extensive background in product, web, or digital analytics, ideally gained within an eCommerce or retail environment. More ❯

methodologies, and experiment design. Solid background in ranking, recommendation, and retrieval systems. Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.). Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy. Bonus: Experience with geospatial data and advanced analytics platforms. More ❯

methodologies, and experiment design. Solid background in ranking, recommendation, and retrieval systems. Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.). Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy. Bonus: Experience with geospatial data and advanced analytics platforms. More ❯

methodologies, and experiment design. Solid background in ranking, recommendation, and retrieval systems. Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.). Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy. Bonus: Experience with geospatial data and advanced analytics platforms. More ❯

methodologies, and experiment design. Solid background in ranking, recommendation, and retrieval systems. Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.). Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy. Bonus: Experience with geospatial data and advanced analytics platforms. More ❯

insight. What We're Looking For Proven experience in a Senior BI or data leadership role, ideally within financial services Strong technical expertise in data warehousing, ETL, and data visualisation tools (ideally Power BI) Hands-on experience with Azure data technologies Excellent stakeholder management and communication skills. A strategic mindset with the ability to influence and lead change. What's More ❯

insight. What We're Looking For Proven experience in a Senior BI or data leadership role, ideally within financial services Strong technical expertise in data warehousing, ETL, and data visualisation tools (ideally Power BI) Hands-on experience with Azure data technologies Excellent stakeholder management and communication skills. A strategic mindset with the ability to influence and lead change. What's More ❯

NumPy, scikit-learn, statsmodels) Ability to manipulate and analyse large, complex datasets with attention to detail Clear, confident communicator who can explain analytics and influence commercial decisions Experience using visualisation tools like Power BI or Plotly Dash Proven ability to work independently in a fast-paced, high-stakes trading environment Desirable: Knowledge of global energy markets and trading operations Understanding More ❯

modern ML/AI libraries such as scikit-learn, TensorFlow, or PyTorch Familiarity with MLOps frameworks, model deployment, and cloud-based platforms (Databricks, AWS, Azure) Strong experience with data visualisation tools and techniques; able to turn complex results into accessible insights Excellent communicator; able to explain technical concepts to non-technical audiences with clarity and empathy Passionate about collaboration, curiosity More ❯

to deliver actionable insight. Delivery ownership: Leads projects from scoping through to delivery and iteration, balancing pace with precision. Communication: Able to translate operational insight into clear business recommendations. Visualisation: Designs usable dashboards in Metabase or similar tools (Tableau, PowerBI, Looker) to support day-to-day store performance and long-term planning. Collaboration: Works well in squads, across disciplines, and More ❯