1 to 25 of 883 Visualisation Jobs in England

Advanced SQL skills with proven ability to manage and analyse large-scale, complex datasets. Experience with database platforms such as SQL Server, Oracle, SAS, or Access. Familiarity with data visualisation tools (e.g. Power BI, Tableau) for insight generation and reporting. Knowledge of AI and Machine Learning models for risk scoring and predictive analytics. Expertise with Financial Crime platforms such as More ❯

as-code tools (e.g., Docker, Terraform, CloudFormation). ● Familiarity with data quality, data governance, and observability tools (e.g., Great Expectations, Monte Carlo).[3] ● Experience with BI and data visualization tools (e.g., Looker, Tableau, Power BI). ● Experience working with product analytics solution (Amplitude, Mixpanel) ● Experience working on mobile attribution solutions (Appsflyer, Singular)[4] ● Experience working on a mobile game More ❯

as-code tools (e.g., Docker, Terraform, CloudFormation). ● Familiarity with data quality, data governance, and observability tools (e.g., Great Expectations, Monte Carlo).[3] ● Experience with BI and data visualization tools (e.g., Looker, Tableau, Power BI). ● Experience working with product analytics solution (Amplitude, Mixpanel) ● Experience working on mobile attribution solutions (Appsflyer, Singular)[4] ● Experience working on a mobile game More ❯

models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as Tableau or Power BI. Confident writing efficient code and troubleshooting sophisticated queries. Clear and adaptable communicator, able to explain technical topics to business audiences and translate More ❯

teams. Communicate findings and insights clearly to both technical and non-technical audiences. Technical Skills & Knowledge Strong experience with SQL (SQL Server essential; Snowflake desirable). Proficiency with data visualisation tools such as Tableau or Power BI. Familiarity with the Microsoft Power Platform is advantageous. Good working knowledge of Microsoft Office 365. (Desirable) Understanding of Python, Business Objects, or other More ❯

a culture of curiosity and continuous improvement. Assist the Data Governance team in driving high-quality data standards across the business. Technical Competencies Strong experience in data analysis and visualisation, particularly using Power BI, Excel, and SQL. Hands-on knowledge of predictive modelling techniques such as regression analysis, clustering, or forecasting. Familiarity with Python or R is a bonus! Experience More ❯

a culture of curiosity and continuous improvement. Assist the Data Governance team in driving high-quality data standards across the business. Technical Competencies Strong experience in data analysis and visualisation, particularly using Power BI, Excel, and SQL. Hands-on knowledge of predictive modelling techniques such as regression analysis, clustering, or forecasting. Familiarity with Python or R is a bonus! Experience More ❯

problem-solving skills Willingness to learn and continuously improve technical and professional skills Competency with Microsoft office applications including Excel Some experience of using data tools (e.g. SQL, Python, visualisation tools such as Power BI/Tableau etc) would be an advantage but not essential. Training You will undertake a Level 4 Data Analyst Apprenticeship where you will learn the 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 ❯

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 ❯

of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python, Spark), and from data visualisation (e.g. PowerBI, Tableau) to machine learning. Deep expertise in advanced analytics, data science and traditional analytics. High-level understanding of data engineering and data strategy. Strong understanding of at least More ❯

technologies of least one cloud platform (AWS, Azure, GCP) Experience working with cloud platforms and in particular architecting with native cloud resources relevant to data problems Knowledge of data visualisation tools such as Tableau or Power BI Interest in building Machine learning and Data science applications Ability to use wide variety of open-source technologies Knowledge and experience using at More ❯

and problem-solving skills. Proficiency in SQL and Excel . Excellent communication and presentation skills. Attention to detail with a proactive mindset. Desirable: Experience with Python, R, or data visualisation tools. Internship or project experience in data analytics or financial services. Understanding of personal loan products and customer journeys. TwentyFour Recruitment is an equal-opportunity employer. If your skill set More ❯

work for an award-winning business, who reward their employees with a competitive salary and excellent career prospects. Skills & Experience Required: Basic knowledge and understanding of SQL and data visualisation tools, including Power BI, and Tableau Strong IT skills and abilities, in particular Microsoft Excel Exceptional analytical and problem-solving skills, with a high degree of accuracy and attention to 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 ❯

functional teams to drive data-informed decision-making Requirements Proven analytical and problem-solving skills Strong experience with Excel (advanced formulas, pivot tables) and Power BI (or similar data visualisation tools) Knowledge of SQL or data modelling (preferred) Strong communication skills with the ability to translate complex data into actionable insights Background in business analysis, operations, or management consulting (advantageous More ❯

experience as a Data Analyst or similar analytical role.* Strong analytical skills with the ability to collect, organise, and analyse significant amounts of data.* Proficiency in SQL and data visualisation tools (e.g. Power BI, Tableau).* Advanced Excel skills, including pivot tables and complex formulas.* Experience with data cleaning, modelling, and business intelligence reporting.* Strong attention to detail and problem 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 ❯

experience as a Data Analyst or similar analytical role. Strong analytical skills with the ability to collect, organise, and analyse significant amounts of data. Proficiency in SQL and data visualisation tools (e.g. Power BI, Tableau). Advanced Excel skills, including pivot tables and complex formulas. Experience with data cleaning, modelling, and business intelligence reporting. Strong attention to detail and problem More ❯

skills: Proven experience as a Data Analyst or similar role, preferably within a fast-paced environment in Travel/Tourism/Hospitality. Strong proficiency in SQL, Excel, and data visualisation tools such as Tableau or Power BI Experience with programming languages such as Python or R is a plus Excellent analytical and problem-solving skills with a keen eye for More ❯

skills: Proven experience as a Data Analyst or similar role, preferably within a fast-paced environment in Travel/Tourism/Hospitality. Strong proficiency in SQL, Excel, and data visualisation tools such as Tableau or Power BI Experience with programming languages such as Python or R is a plus Excellent analytical and problem-solving skills with a keen eye for More ❯

s internal analytics platform (Power BI) — enhancing and scaling it. Build a proprietary AI-powered natural language search tool for querying historical models and research notes. Develop dashboards and visualisation tools to support fund managers, client reporting, and internal stakeholders. Work with senior leadership to identify automation opportunities and solve data workflow challenges. Manage third-party vendors and consultants; oversee More ❯

s internal analytics platform (Power BI) — enhancing and scaling it. Build a proprietary AI-powered natural language search tool for querying historical models and research notes. Develop dashboards and visualisation tools to support fund managers, client reporting, and internal stakeholders. Work with senior leadership to identify automation opportunities and solve data workflow challenges. Manage third-party vendors and consultants; oversee 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 ❯