1 to 25 of 691 Visualisation Jobs in London

and query tuning. Strong proficiency in data analysis tools and languages (e.g., SQL, Python). Strong understanding of data modeling principles and experience applying modeling techniques. Proficiency with data visualization tools such as Tableau, Power BI, or similar. Knowledge of payment processing system, card issuance, and related services. Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud). More ❯

system and other internal data platforms for use across PMT and the Investment Team. - Deploy systems within Private Credit, ensuring seamless user experience, data accuracy, and analytical capability. - Data Visualization & Reporting - Build and maintain Power BI dashboards, delivering portfolio and investment-level insights. - Create scalable and intuitive data visualizations to inform stakeholders and enhance decision-making. - Analytical Support - Provide ad More ❯

system and other internal data platforms for use across PMT and the Investment Team. - Deploy systems within Private Credit, ensuring seamless user experience, data accuracy, and analytical capability. - Data Visualization & Reporting - Build and maintain Power BI dashboards, delivering portfolio and investment-level insights. - Create scalable and intuitive data visualizations to inform stakeholders and enhance decision-making. - Analytical Support - Provide ad More ❯

technical depth with system thinking, and supporting transformation through robust data insight. In this role, you will: Apply advanced techniques using Python for data analysis, model development, and data visualisation Work across some of the richest population health data available in the NHS, on near-real time data flows in a modern cloud platform Design and lead complex analytical projects More ❯

developing, and maintaining business intelligence solutions that transform data into actionable insights. You will work closely with stakeholders to understand their analytical needs and deliver high-quality reporting and visualization solutions. Key Responsibilities: Design and develop BI solutions, including dashboards, reports, and data models using tools such as Power BI, Tableau, or similar Collaborate with business users to gather requirements … tools and reporting processes Stay current with industry trends and best practices in BI and data analytics Required Skills: Proficiency in BI tools (Power BI, Tableau, QlikView) and data visualization techniques Strong SQL skills and experience with relational databases (e.g., SQL Server, Oracle, MySQL) Familiarity with ETL processes and data warehousing concepts Experience in data modeling and designing effective reporting More ❯

practices. BI Solution Development: •Design, develop, test, and deploy end-to-end Business Intelligence solutions using Alteryx for data preparation, SQL for data transformation and storage, Tableau for data visualization, and R/Python for advanced analytics. •Design, implement, and maintain ETL pipelines using Alteryx to extract data from diverse source systems (e.g., relational databases, APIs, flat files), transform it … on experience in Business Intelligence and Digital Transformation projects. •ETL Expertise: Proficiency in Alteryx Designer, including the ability to design and implement complex ETL workflows, and optimize performance. •Data Visualization Proficiency: Proficiency in Tableau Desktop, including the ability to create interactive dashboards, complex calculations, custom visualizations, and performance optimization. •SQL Development Skills: Mastery of SQL, including the ability to write More ❯

value creation. About the Department The Business Intelligence team is a core function responsible for managing the entire reporting and analytics lifecycle-from requirements gathering and data extraction to visualisation, testing, and delivery. The team provides critical support across finance, treasury, risk, and strategic planning, while also managing enterprise BI tools and platforms. With a focus on excellence, the team More ❯

working in a regulated environment, with experience of data legislation and cyber security accreditations e.g., GDPR, ISO27001, Cyber Essentials. Expertise in Business Intelligence, ideally via Power BI for data visualization and reporting Use of DevOps (CI/CD) concepts to test, schedule, and deploy to a production environment. Experience of working in a financial services firm. Benefits At Interpath, our More ❯

Strong understanding of data 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 More ❯

leadership skills, complementing your analytical expertise while gaining significant commercial experience through client and partner engagement. Responsibilities Insight Product Delivery: Define & deliver agreed schedule of client insight products Reporting & Visualisation: Create clear, concise, and visually impactful reports and dashboards to present findings effectively to stakeholders. Technical Client Support: Take the lead in resolving client issues Project Management: Oversee multiple client … reporting, ensuring accuracy and clarity. Technical Skills Analytics Tools: Proficiency in data analysis tools and platforms like Excel, SQL, AWS tools, or Python for data manipulation and analysis. Data Visualisation: Experience using data visualization tools such as Tableau, Power BI, Looker, or similar to create interactive dashboards and visual reports. Reporting Tools: Proficient in using reporting tools to create and More ❯

leadership skills, complementing your analytical expertise while gaining significant commercial experience through client and partner engagement. Responsibilities Insight Product Delivery: Define & deliver agreed schedule of client insight products Reporting & Visualisation: Create clear, concise, and visually impactful reports and dashboards to present findings effectively to stakeholders. Technical Client Support: Take the lead in resolving client issues Project Management: Oversee multiple client … reporting, ensuring accuracy and clarity. Technical Skills Analytics Tools: Proficiency in data analysis tools and platforms like Excel, SQL, AWS tools, or Python for data manipulation and analysis. Data Visualisation: Experience using data visualization tools such as Tableau, Power BI, Looker, or similar to create interactive dashboards and visual reports. Reporting Tools: Proficient in using reporting tools to create and More ❯

you must have: Multi-skilled experience in one or more of the following disciplines: Data Management, Data Engineering, Data Warehousing, Data Modelling, Data Quality, Data Integration, Data Analytics, Data Visualisation, Data Science and Business Intelligence. Delivery experience using the following core technology: SAS (SAS EG, SAS DI, SAS Viya). An ability to write complex SQL queries. Project experience using More ❯

domains (e.g., Finance, Supply Chain). Understanding of data governance principles, data quality management, and data compliance standards. Hands-on experience with data management tools, data analysis, or data visualization software (Python, SQL, Power BI) Experience in Data modeling (ideally Microsoft Azure). What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five More ❯

Job Position: Graduate Digital Analyst - via the Graduate Development Programme Locations: London Starting Salary: £28,000 Application Requirements: Minimum 2:1 or above in a STEM (Science, Technology, Engineering, and Math) subject Experience in analysing data Right to work in More ❯

will be responsible for collecting, analyzing, and interpreting large datasets to provide actionable insights that support business decisions. The ideal candidate will have strong analytical skills, experience with data visualization tools, and a passion for turning data into strategic solutions. Qualifications: B.E/B.Tech/MSc Experience: 3-5 Years Job Responsibilities: Collect and organize raw data from various sources … making processes by providing timely and accurate data insights. Skills Required: Proficiency in data analytics tools such as Python, R, or SQL. 2+ years hands-on experience with data visualization platforms Tableau, Power BI, or Excel. Ability to manage multiple projects and meet deadlines. Excellent communication skills, with the ability to explain data insights to non-technical audiences. Proven experience More ❯

This position is a hybrid of office/remote working Skills: Analytical Thinking, Analytical Thinking, Analytics, Commercial Acumen, Commodity Risk Management, Communication, Creativity and Innovation, Credit Risks, Curiosity, Data visualization and interpretation, Decision Making, Excel Reports, Group Problem Solving, Internal control and compliance, Market Knowledge, Market Risk, Market Risk Analysis, Market Risk Management, Microsoft Power Business Intelligence (BI) Data Visualization More ❯

Data Analyst in the banking or financial services sector. Strong understanding of banking operations - retail, corporate, payments, lending, treasury, or risk. Technical expertise in: SQL, data analysis, and data visualization tools (Power BI/Tableau/Qlik) APIs (knowledge of JSON, RESTful services, Swagger/OpenAPI specs) Excel, ETL tools, and basic scripting (Python is a plus) Experience working in More ❯

service reporting and analytics. Excellent MS Office proficiency, in particular PowerPoint & Excel. Proficiency with ServiceNow, particularly in Reporting, Performance Analytics, and Dashboards. Strong analytical skills and experience with data visualization tools (e.g., Power BI, Excel, Tableau). Solid understanding of ITIL frameworks and ITSM processes. Desirable Skills ITIL Foundation certification or higher. Experience writing ServiceNow reports using filters, conditions, and 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 ❯

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 ❯

and pivot tables) experience - Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc. - Experience with reporting and Data Visualization tools such as Quick Sight/Tableau/Power BI or other BI packages PREFERRED QUALIFICATIONS - Experience using very large datasets Our inclusive culture empowers Amazonians to deliver the best More ❯

term solutions. Skills & Experience: 1. Experience Over 3 years-experience in delivering Data Science projects using Python programming language, statistical and machine learning techniques, time series analysis and data visualisation and insight analysis. 2. Qualifications A Degree in Data Science, Computer Science, a related field or relevant professional experience 3. Analytical skills Analytical skills using software packages Python, SQL along More ❯

decisions Eagerness to learn and grow, with support from experienced analysts and senior leaders Bonus Points For: Exposure to Python, R, or other data science tools Experience with data visualisation tools (e.g., Power BI, Tableau) Understanding of consumer finance or lending products Experience working with large datasets or in a regulated environment Benefits Salary - between More ❯

s degree in Data Science, Statistics, or a related field. Experience in Virtual card payments and rebate structures. Knowledge of machine learning and statistical modelling techniques. Experience with data visualisation tools (e.g., Looker, Power BI, Google Suite). Perks of joining us: Other than an amazing environment for you to grow, have impact and show the world your incredible skills More ❯

Experience with pricing platform development or implementation Knowledge of machine learning techniques and their application to insurance pricing Familiarity with catastrophe modelling software (e.g., RMS, AIR) Experience with data visualisation tools (e.g., Tableau, Power BI) Experience with cloud platforms (AWS, Azure, GCP) What we offer Opportunity to architect and build cutting-edge pricing capabilities Clear progression path to becoming a More ❯