26 to 50 of 852 Visualisation Jobs in England

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 ❯

translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. Knowledge of data science and More ❯

translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. Knowledge of data science and More ❯

translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. Knowledge of data science and More ❯

translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. Knowledge of data science and More ❯

translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. Knowledge of data science and More ❯

of an AI agent to enhance client delivery, internal productivity, and advisory effectiveness. Identify and assess emerging technologies and tools in AI, machine learning, natural language processing, and data visualization to inform strategic investment decisions. Partner with cross functional teams to integrate data science solutions into existing and new HR advisory offerings. Data Science & Advanced Analytics Develop frameworks for data More ❯

with the project delivery and business analysis professional practices to enhance DTG and Strategy Office portfolio reporting and Power BI dashboards. Designing and developing dashboards for data analysis and visualisation to support operational priorities and leadership decision-making. Managing, maintaining and driving innovation for the digital tools used to deliver internal portfolios, programmes and projects. Evaluating and implementing process improvements 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 Experience of working in a financial services firm Experience of working in both Waterfall and Agile environments Microsoft Fabric Data Engineer Associate Certification Microsoft Azure Fundamentals Certification What More ❯

Ability to navigate data sets of varying complexity/ambiguity and conduct analysis to derive clear insights and actionable results. Strong PowerPoint and presentation/communication skills. Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc. Expertise in predictive modelling, including both parametric (e.g. logit/probit) and non parametric (e.g. random forest, neural net) techniques as More ❯

Studio | Microsoft Power Platform | Data Architecture | Data Engineering | Azure | Snowflake | Databricks | SQL | Process Automation | Predictive Analytics | Cloud Solutions | Digital Transformation | Industrial Automation | PLC | HMI | SCADA | IoT | Data Modelling | Data Visualisation | Business Intelligence | Agile Delivery | Continuous Improvement | Technical Leadership | Automation Strategy | Process Optimisation | Power Apps | Python | Data Governance | Data Integration | Data Warehousing | Robotics | IT Systems | Manufacturing Systems | Automation Projects | Artificial Intelligence More ❯

with finance and business teams to provide data-driven insights. Supporting project work such as forecasting, variance analysis, and modelling. Learning and applying new tools and methods for data visualisation and automation. About You You do not need prior experience, but you should have a strong interest in data and a willingness to learn. You will likely have: A degree More ❯

Manager A successful BI & Analytics Manager should have: A strong background in business intelligence and data analytics. Experience working with large data sets from various sources. Proficiency in data visualisation tools such as Power BI or Tableau. Expertise in SQL and other data query languages. Excellent leadership and team management skills. The ability to communicate complex data insights clearly and More ❯

Manager A successful BI & Analytics Manager should have: A strong background in business intelligence and data analytics. Experience working with large data sets from various sources. Proficiency in data visualisation tools such as Power BI or Tableau. Expertise in SQL and other data query languages. Excellent leadership and team management skills. The ability to communicate complex data insights clearly and More ❯

the direction of a business that is committed to becoming truly data-first. The Role: You’ll work within the central analytics team, using deep-dive analysis and data visualisation to deliver actionable insights and recommendations that drive business growth. Working closely with senior leaders, you’ll be a key player in enabling a data-driven culture and helping to More ❯

the direction of a business that is committed to becoming truly data-first. The Role: You’ll work within the central analytics team, using deep-dive analysis and data visualisation to deliver actionable insights and recommendations that drive business growth. Working closely with senior leaders, you’ll be a key player in enabling a data-driven culture and helping to 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 ❯

to manage multiple projects adhering to logistics, timescales and deadlines. IT literate and experience of using MS Dynamics and Office (including Word, Excel and Outlook). Experience of using visualisation tools such as PowerBI. The Client is based in Holborn London. The salary for this role will be in the range £40K - £45K. Do send your CV to us in More ❯

both your line manager and your apprenticeship training provider During your apprenticeship, you’ll work towards the Data Analyst Level 4 Apprenticeship Standard, developing technical skills in data analysis, visualisation, and database management Training Data analyst (level 4) Apprenticeship Standard Opportunities for Growth: Develop a career in digital marketing, community management, or learner recruitment Gain hands-on experience in social More ❯

Strong IT skills, including: Advanced Excel (modelling, pivot tables, macros) SQL for data extraction and manipulation Experience with coding or scripting (e.g. Python, R) is advantageous. Familiarity with data visualisation tools (e.g. Power BI, Tableau) are desirable. Excellent analytical and problem-solving skills. Strong written and verbal communication skills, with the ability to engage confidently with senior stakeholders. Self-motivated More ❯

for someone who can demonstrate: Proven Proficiency in Azure Data Factory and Azure SQL (essential) Proven expertise with Power BI and a strong eye for intuitive, user-friendly data visualisation Solid understanding of data warehouse design including planning and development Experience managing senior stakeholders and translating their needs into technical solutions Strong analytical skills and attention to detail Clear, effective More ❯

for someone who can demonstrate: Proven Proficiency in Azure Data Factory and Azure SQL (essential) Proven expertise with Power BI and a strong eye for intuitive, user-friendly data visualisation Solid understanding of data warehouse design including planning and development Experience managing senior stakeholders and translating their needs into technical solutions Strong analytical skills and attention to detail Clear, effective More ❯

outcomes. Demonstrated leadership in building, coaching, and scaling high-performing analytics teams. Knowledge of AI/ML applications in gaming and consumer-facing platforms. Technical proficiency: Required - Reporting/visualisation tools (Power BI/Tableau, etc). Nice-to-have - SQL, Python, R and modern cloud data environments (e.g., Snowflake, Databricks). WHO WE ARE At the core of LeoVegas More ❯

to adapt to new tools and new technology developments PREFERRED• Good working knowledge of the mobile industry - both commercial and technical• Experience with other tools for exploratory data analysis, visualisation and model development (e.g. Jupyter notebooks, R, cloud platforms such as GCP, or AWS, Power BI)• You will have experience of developing, implementing and improving cross-functional business processes.• Experience More ❯

HR analytics or a data-focused HR role• Hands-on experience with HR systems (Sage preferred)• Strong analytical skills and experience working with large datasets• Advanced Excel and data visualisation tools (e.g., Power BI, Tableau)• Ability to translate complex data into actionable insights• Knowledge of HR metrics and workforce planning• Excellent written & verbal communication skillsIf you are a Senior HR More ❯