1 to 25 of 1,176 Permanent Visualisation Jobs in England

designing, developing, and maintaining business intelligence solutions that empower our clients to make data-driven decisions. This role requires a deep understanding of data visualisation, reporting, and analytics, along with proficiency in various BI tools and data management practices. Key Responsibilities: BI Solution Development: Design and develop interactive dashboards, reports 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 ❯

within the energy, environmental, or sustainability sectors. Strong proficiency in data analysis tools such as Excel, SQL, Python, R, or similar. Experience with data visualization tools like Power BI, Tableau, or similar platforms. Knowledge of energy systems, environmental policies, and sustainability practices is a plus. Ability to work independently, manage More ❯

and analysis. data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java Equal Opportunity Employer At Agoda, we pride ourselves on More ❯

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. More ❯

commitment to excellence and customer satisfaction. BASIC QUALIFICATIONS - Experience creating complex SQL queries joining multiple datasets, ETL DW concepts - Experience with reporting and Data Visualization tools such as Quick Sight/Tableau/Power BI or other BI packages - Experience defining requirements and using data and metrics to draw business More ❯

an advantage. Data Tools: Previous experience with tools such as Excel, R, SQL or Python are essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are also keen to hear from you. Analytical Problem Solving: We're looking for More ❯

of data analysis techniques and methodologies. Proficiency in data manipulation and analysis using tools such as SQL, Python, R, or similar. Experience with data visualization tools such as Tableau, Power BI, or similar, to create interactive visualizations and reports. Extensive experience in data analytics and have demonstrated the ability to More ❯

Identify and report anomalies, trends, and potential risks to pre-empt issues. Support prioritisation of actions based on performance data and impact assessments. Reporting & Visualisation Design and maintain interactive dashboards and visual reports using Power BI. Tailor reporting outputs to suit diverse departmental needs. Ensure reporting is clear, concise, and 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 ❯

meticulous nature ensures accuracy and thoroughness in all tasks, from data analysis to documentation. BI Tools Proficiency: Expertise in Power BI, Tableau or similar visualisation tools. SQL and Databases: Strong knowledge of SQL, data warehousing concepts, and database management. ETL Processes: Experience with Extract, Transform, Load (ETL) processes (e.g. SSIS More ❯

warehouses to facilitate self service analytics through PowerBI Managing and optimising ETL pipelines using tools such as Azure Data Factory and SSIS Enhancing data visualisation capabilities and driving best practices in reporting Ensuring data integrity, compliance with GDPR, and robust data security measures Performing database administration, query optimisation, and performance More ❯

warehouses to facilitate self service analytics through PowerBI Managing and optimising ETL pipelines using tools such as Azure Data Factory and SSIS Enhancing data visualisation capabilities and driving best practices in reporting Ensuring data integrity, compliance with GDPR, and robust data security measures Performing database administration, query optimisation, and performance More ❯

. 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 More ❯

. 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 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 ❯

expertise in designing scalable data solutions. Familiarity with big data technologies like Hadoop, Kafka, or Spark for processing large-scale data. Experience with data visualization tools such as Tableau, Power BI, or similar platforms for building reports and dashboards. Hands-on experience with GraphDB, SQL/NoSQL databases, and data More ❯

requirements related to data privacy and security in the insurance industry. Familiarity with advanced data analytics techniques, statistical modelling, machine learning algorithms, and data visualization tools. Strong leadership and team management skills, with the ability to inspire and guide a team of data strategy professionals. Excellent analytical and problem-solving More ❯

members of varying functions and levels in data quality and root cause analysis techniques. Experience using Power BI, Tableau, or similar tools for data visualisation and anomaly detection. Knowledge of P&C insurance, ideally with some experience of working alongside Pricing teams. Ability to integrate AI-driven insights into your 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 ❯

ETL processes, and data modeling. Experience working with cloud platforms (e.g., AWS, Azure) and modern data warehouse tools. Technical Skills : Familiarity with SQL, data visualization tools (e.g., Tableau, Power BI), and ETL tools (e.g., MSBI-SSIS). Knowledge of Agile and Waterfall project management methodologies. Soft Skills : Excellent communication, leadership More ❯

Bachelor's degree in Data Science, Statistics, Computer Science, Business, or a related field. • Strong proficiency in Microsoft Excel; familiarity with SQL and data visualization tools is a plus. • Basic understanding of data analysis techniques and data lifecycle. • Excellent organizational skills and attention to detail. • Strong written and verbal communication More ❯

operational dashboard development and automated reporting systems Strong SQL skills and experience working with large operational datasets Advanced proficiency with at least one data visualization tool (Metabase, Looker, Tableau, Power BI) Experience with Python or R for operational data analysis Deep familiarity with common business operations metrics Bachelor's degree 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 ❯