1 to 25 of 616 Visualisation Jobs in London

. Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch . Solid understanding of statistics, predictive modeling, and data mining techniques. Experience with data visualization tools such as Tableau, Power BI, or matplotlib/seaborn . Familiarity with cloud platforms (AWS, Azure, GCP) is a plus. Strong problem-solving, analytical, and communication skills. Preferred Qualifications More ❯

priorities. Advanced Excel skills, including pivot tables, formulas, and data modeling. Hands-on experience with ETL tools (e.g., Alteryx, KNIME, Tableau Prep). Intermediate to advanced proficiency in data visualization platforms such as Tableau, Power BI, QlikView, or Domo. Preferred Qualifications Experience in sales operations or go-to-market strategy analytics. Knowledge of CRM systems like Salesforce. Familiarity with SQL More ❯

priorities. Advanced Excel skills, including pivot tables, formulas, and data modeling. Hands-on experience with ETL tools (e.g., Alteryx, KNIME, Tableau Prep). Intermediate to advanced proficiency in data visualization platforms such as Tableau, Power BI, QlikView, or Domo. Preferred Qualifications Experience in sales operations or go-to-market strategy analytics. Knowledge of CRM systems like Salesforce. Familiarity with SQL More ❯

priorities. Advanced Excel skills, including pivot tables, formulas, and data modeling. Hands-on experience with ETL tools (e.g., Alteryx, KNIME, Tableau Prep). Intermediate to advanced proficiency in data visualization platforms such as Tableau, Power BI, QlikView, or Domo. Preferred Qualifications Experience in sales operations or go-to-market strategy analytics. Knowledge of CRM systems like Salesforce. Familiarity with SQL More ❯

priorities. Advanced Excel skills, including pivot tables, formulas, and data modeling. Hands-on experience with ETL tools (e.g., Alteryx, KNIME, Tableau Prep). Intermediate to advanced proficiency in data visualization platforms such as Tableau, Power BI, QlikView, or Domo. Preferred Qualifications Experience in sales operations or go-to-market strategy analytics. Knowledge of CRM systems like Salesforce. Familiarity with SQL More ❯

Pandas, NumPy, or Scikit-learn Exposure to machine learning concepts or blockchain architecture Coursework or personal projects involving data analysis, AI/ML, or distributed systems Knowledge of data visualisation tools like Power BI or Tableau Benefits Fully funded, accredited qualifications Bespoke technical and business skills training A health cash plan 26 days annual leave Regular mentoring and personal development More ❯

machine learning applications. Familiarity with cloud-based infrastructure, preferably Azure. Expertise with Data Warehousing/Data Lakes. Proficiency in SQL for data extraction and analysis. Strong experience with data visualization tools such as PowerBI and Tableau. Understanding Java is a plus. Desired Behaviors Independence: Ability to solve complex problems independently as an advanced individual contributor. Adaptability: Demonstrates flexibility and openness More ❯

building and become a trusted analytics partner, shaping how data drives strategic decision making across the organisation. Key Responsibilities Act as the subject matter expert for data analytics and visualisation within the Private Wealth division. Partner with senior leadership and key stakeholders to translate requirements into high-impact analytical products. Design, build, and maintain Power BI dashboards that inform strategic More ❯

analyse and interpret data, with keen attention to detail Basic experience with data modelling Exposure to programming languages such as Python or R is an advantage Familiarity with data visualization best practices Team player willing to collaborate in a fast-paced and diverse environment Excellent English and Mandarin communication skills, with the ability to present findings in a clear and More ❯

reporting tools into Databricks and modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark, Delta Lake). Solid knowledge of BI and data visualisation tools (e.g., Power BI, Tableau, Qlik). Strong SQL and data modelling skills. Experience working with large, complex financial datasets. Familiarity with cloud platforms (Azure/AWS/GCP) is More ❯

reporting tools into Databricks and modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark, Delta Lake). Solid knowledge of BI and data visualisation tools (e.g., Power BI, Tableau, Qlik). Strong SQL and data modelling skills. Experience working with large, complex financial datasets. Familiarity with cloud platforms (Azure/AWS/GCP) is More ❯

reporting tools into Databricks and modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark, Delta Lake). Solid knowledge of BI and data visualisation tools (e.g., Power BI, Tableau, Qlik). Strong SQL and data modelling skills. Experience working with large, complex financial datasets. Familiarity with cloud platforms (Azure/AWS/GCP) is More ❯

reporting tools into Databricks and modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark, Delta Lake). Solid knowledge of BI and data visualisation tools (e.g., Power BI, Tableau, Qlik). Strong SQL and data modelling skills. Experience working with large, complex financial datasets. Familiarity with cloud platforms (Azure/AWS/GCP) is More ❯

up to date with emerging analytics tools and techniques to continuously improve reporting and analysis processes. Profile * The Data Analyst will have proven experience with data analysis, reporting, and visualisation tools such as Power BI, Excel, SQL, and Tableau.* Strong proficiency in SQL for querying and manipulating large datasets.* Experience with data modelling and basic understanding of data warehousing concepts. More ❯

in Computer Science or a related field. Proficiency in Microsoft PowerApps, Power BI, and VBA. Proven experience in computer programming (e.g. SQL, Python) and data manipulation Understanding of data visualisation and storytelling within an audit or financial context. Familiarity with external audit methodologies and professional standards Strong analytical and problem-solving skills with the ability to handle and interpret large More ❯

e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure More ❯

e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure More ❯

e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure More ❯

e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure More ❯

translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. Knowledge of data science and More ❯

translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. Knowledge of data science and More ❯

translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. Knowledge of data science and More ❯

translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. Knowledge of data science and More ❯

with the project delivery and business analysis professional practices to enhance DTG and Strategy Office portfolio reporting and Power BI dashboards. Designing and developing dashboards for data analysis and visualisation to support operational priorities and leadership decision-making. Managing, maintaining and driving innovation for the digital tools used to deliver internal portfolios, programmes and projects. Evaluating and implementing process improvements More ❯

with finance and business teams to provide data-driven insights. Supporting project work such as forecasting, variance analysis, and modelling. Learning and applying new tools and methods for data visualisation and automation. About You You do not need prior experience, but you should have a strong interest in data and a willingness to learn. You will likely have: A degree More ❯