1 to 25 of 824 Visualisation Jobs in the UK

. 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 ❯

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 ❯

Marketing). Understanding of applying data governance principles, DQM, compliance standards and security protocols to global data environments. Hands-on experience with data management tools, data analysis, or data visualization software (Python, SQL, Power BI). Experience with DevOps principles such as CI/CD, unit testing. Project Ownership skills with the ability to operate in Agile Product framework. Conversant 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 ❯

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 ❯

data architecture patterns. Experience with data & analytics platforms (e.g. MS Fabric). Strong proficiency in SQL, Python, and data orchestration tools (e.g. Azure Data Factory). Experience with data visualisation tools, ideally Power BI, and delivering data models that support self-service analytics. Excellent communication and stakeholder management skills, with the ability to influence technical and non-technical audiences. Strong More ❯

and integrity across various systems. Support compliance and data-related projects, collaborating effectively with stakeholders. Technical Skills & Knowledge: Strong experience with SQL (SQL Server essential). Proficiency with data visualisation tools (e.g., Tableau or Power BI). Solid understanding of relational databases, data modelling, and storage structures. Good working knowledge of Microsoft Office 365. (Desirable) Familiarity with the Power Platform More ❯

and integrity across various systems. Support compliance and data-related projects, collaborating effectively with stakeholders. Technical Skills & Knowledge: Strong experience with SQL (SQL Server essential). Proficiency with data visualisation tools (e.g., Tableau or Power BI). Solid understanding of relational databases, data modelling, and storage structures. Good working knowledge of Microsoft Office 365. (Desirable) Familiarity with the Power Platform 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 ❯

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 ❯

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 report writing skills, utilising multiple channels including desktop and web based tools and comfortable communicating with a wide range of audiences Ability to determine and develop appropriate data visualisation to communicate data meaning effectively and efficiently Educated to Degree level or equivalent Location. The location for this role is 16 Summer Lane, Birmingham, B19 3SD with at least 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 ❯

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 ❯

oriented and process-driven with a focus on continuous improvement (Essential) Comfortable working in a fast-paced, evolving environment (Essential) Statistical Methods Knowledge (Desirable) Experience using Salesforce and data visualisation tools (Desirable) Job Offer Competitive salary range of £35,000 to £45,000 per annum. Comprehensive pension scheme to support your future. Generous holiday allowance to maintain a healthy work 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 ❯