1 to 25 of 479 Permanent Visualisation Jobs in London

maths, physics, etc.) Other beneficial qualifications (e.g. MBA, CFA, etc.) Proficient in Structured Query Language (SQL), Critical Thinking, R or Python-Statistical Programming, Data Visualisation, Presentation Skills, Machine Learning & Data Science techniques, Econometrics Strong Data Mapping skills, knowledge of Data Warehousing Concepts, and Logical Modelling Skills. Strong Business Analyst skills More ❯

maths, physics, etc.) Other beneficial qualifications (e.g. MBA, CFA, etc.) Proficient in Structured Query Language (SQL), Critical Thinking, R or Python-Statistical Programming, Data Visualisation, Presentation Skills, Machine Learning & Data Science techniques, Econometrics Strong Data Mapping skills, knowledge of Data Warehousing Concepts, and Logical Modelling Skills. Strong Business Analyst skills More ❯

is highly preferred. Understanding financial datasets, metrics, and industry trends. Preferred Qualifications: Experience with API integrations and working with RESTful APIs. Knowledge of data visualization tools (e.g., Tableau, Power BI, or Matplotlib/Seaborn). Familiarity with version control systems (e.g., Git). Experience with containerization tools (e.g., Docker, Kubernetes More ❯

is highly preferred. Understanding financial datasets, metrics, and industry trends. Preferred Qualifications: Experience with API integrations and working with RESTful APIs. Knowledge of data visualization tools (e.g., Tableau, Power BI, or Matplotlib/Seaborn). Familiarity with version control systems (e.g., Git). Experience with containerization tools (e.g., Docker, Kubernetes More ❯

analytical thinking and the ability to tell stories with data. Proficiency in Python, SQL, and NoSQL databases (e.g., PostgreSQL, MongoDB). Experience with data visualisation tools (Tableau, Power BI, or Python libraries like Seaborn). Familiarity with FastAPI for system integration and automation. API Integration Salesforce (or tools like MuleSoft More ❯

write complex queries for extracting and analysing large datasets. o Python: Proficient in using Python for data analysis, automation, and model development. o Data Visualization Tools: Experience with tools like Metabase, Tableau, Power BI, or similar for creating insightful dashboards. o Machine Learning: Familiarity with machine learning concepts and their More ❯

transformation, validation, and loading. Data Analytics & Machine Learning Power BI: Proficiency in developing, publishing, and managing Power BI reports and dashboards, with strong data visualisation skills. SQL & Data Management: Advanced knowledge of SQL for querying, transforming, and managing data, with hands-on experience in SQL Management Studio. Azure Machine Learning More ❯

transformation, validation, and loading. Data Analytics & Machine Learning Power BI: Proficiency in developing, publishing, and managing Power BI reports and dashboards, with strong data visualisation skills. SQL & Data Management: Advanced knowledge of SQL for querying, transforming, and managing data, with hands-on experience in SQL Management Studio. Azure Machine Learning More ❯

scripting tools (Python/R) for deep data analysis. ✅ Requirements: Strong analytical and problem-solving skills. Proficiency in SQL and at least one data visualization tool. Experience with data modeling and working with large-scale data sets. Comfortable working in a hybrid setup (London-based). Excellent communication and stakeholder More ❯

scripting tools (Python/R) for deep data analysis. ✅ Requirements: Strong analytical and problem-solving skills. Proficiency in SQL and at least one data visualization tool. Experience with data modeling and working with large-scale data sets. Comfortable working in a hybrid setup (London-based). Excellent communication and stakeholder More ❯

of experience in data management, preferably within financial services and FX. Strong command of data governance and quality management principles. Proficiency in SQL and visualization tools (e.g., Tableau, Power BI). Familiarity with Python or R and time-series databases. Strong problem-solving, communication, and leadership skills. Preferred Skills: Experience More ❯

of experience in data management, preferably within financial services and FX. Strong command of data governance and quality management principles. Proficiency in SQL and visualization tools (e.g., Tableau, Power BI). Familiarity with Python or R and time-series databases. Strong problem-solving, communication, and leadership skills. Preferred Skills: Experience More ❯

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 More ❯

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 More ❯

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 More ❯

Cloud). • Expertise in ETL tools and processes (e.g., Apache NiFi, Talend, Informatica). • Proficiency in data integration tools and technologies. • Familiarity with data visualization and reporting tools (e.g., Tableau, Power BI) is a plus. • Deep understanding of data governance frameworks and best practices. • Knowledge of security protocols, data privacy More ❯

Cloud). • Expertise in ETL tools and processes (e.g., Apache NiFi, Talend, Informatica). • Proficiency in data integration tools and technologies. • Familiarity with data visualization and reporting tools (e.g., Tableau, Power BI) is a plus. • Deep understanding of data governance frameworks and best practices. • Knowledge of security protocols, data privacy More ❯

Cloud). • Expertise in ETL tools and processes (e.g., Apache NiFi, Talend, Informatica). • Proficiency in data integration tools and technologies. • Familiarity with data visualization and reporting tools (e.g., Tableau, Power BI) is a plus. • Deep understanding of data governance frameworks and best practices. • Knowledge of security protocols, data privacy More ❯

implementation Master data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data science, data visualisation, AI, ML, Documentation of solutions (e.g. data modelling, configuration, and setup etc.) including HLD and LLD, Working within a project management/agile delivery methodology More ❯

implementation Master data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data science, data visualisation, AI, ML, Documentation of solutions (e.g. data modelling, configuration, and setup etc.) including HLD and LLD, Working within a project management/agile delivery methodology More ❯

and analyzing data Some familiarity with SQL or a strong interest in learning it Exposure to tools like Power BI, Tableau, or other data visualization platforms is a bonus, but not essential An eye for detail and a problem-solving mindset Clear communication skills and the ability to share insights More ❯

and analyzing data Some familiarity with SQL or a strong interest in learning it Exposure to tools like Power BI, Tableau, or other data visualization platforms is a bonus, but not essential An eye for detail and a problem-solving mindset Clear communication skills and the ability to share insights More ❯

and analyzing data Some familiarity with SQL or a strong interest in learning it Exposure to tools like Power BI, Tableau, or other data visualization platforms is a bonus, but not essential An eye for detail and a problem-solving mindset Clear communication skills and the ability to share insights More ❯

Science, Statistics, Computer Science, or a related field. Proven experience as a Data Analyst or in a similar analytical role. Strong proficiency in data visualization tools such as Tableau, Power BI, or similar. Experience with programming languages such as Python, R, or SQL for data manipulation. Knowledge of statistical analysis More ❯

data warehousing, data modelling, and schema design. Technical Skills: Proficiency in SQL. Strong experience with Google Cloud Platform (GCP) and BigQuery. Experience with data visualization tools, particularly Power BI. Strong understanding of API integrations. Solid understanding of data privacy regulations (GDPR and other data capture regulations). Stakeholder Management: Proven More ❯