26 to 50 of 631 Visualisation Jobs in the UK excluding London

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 ❯

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 ❯

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 ❯

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 ❯

Proven experience as a BI Analyst or similar role. Strong proficiency in Azure SQL (including query optimization and stored procedures). Advanced skills in Power BI (data modeling, DAX, visualization best practices). Understanding of data warehousing concepts and ETL processes. Excellent problem-solving and communication skills. Desirable: Experience with Azure Data Factory or other cloud-based data tools. Knowledge More ❯

experience applying and deploying machine learning and AI tools like Python, TensorFlow, scikit-learn, or similar, to commercial pricing problems. Strong communication skills, modelling ability, and familiarity with data visualisation tools such as Power Bi or tableau is essential. The company offers hybrid working and excellent career progression opportunities. 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 ❯

experience in data analysis , business alignment , and KPI validation Proficiency with Snowflake , SQL , ETL , and data modeling Experience with Qlik Sense or similar BI tools Solid understanding of data visualization , UX , and dashboard design Analytical and problem-solving mindset Good communication skills and ability to work with technical/non-technical teams Awareness of data security and compliance best practices More ❯

experience in data analysis , business alignment , and KPI validation Proficiency with Snowflake , SQL , ETL , and data modeling Experience with Qlik Sense or similar BI tools Solid understanding of data visualization , UX , and dashboard design Analytical and problem-solving mindset Good communication skills and ability to work with technical/non-technical teams Awareness of data security and compliance best practices More ❯

experience in data analysis , business alignment , and KPI validation Proficiency with Snowflake , SQL , ETL , and data modeling Experience with Qlik Sense or similar BI tools Solid understanding of data visualization , UX , and dashboard design Analytical and problem-solving mindset Good communication skills and ability to work with technical/non-technical teams Awareness of data security and compliance best practices More ❯

analytics. Profile A successful Business Intelligence Analyst should have: A degree or equivalent qualification in a relevant field such as data analytics, statistics, or computer science. Proficiency in data visualisation tools such as Power BI, Tableau, or similar. Strong analytical and problem-solving skills. Experience with SQL/DAX or similar database query languages. An ability to communicate complex data More ❯

MDG . Data Governance & Quality Tools: e.g. Collibra, Talend, Snowflake, PowerBI. Knowledge: Metadata management, data lineage, cataloguing. Proficiency: SQL, data analysis tools. Experience: Data integration, ETL processes. Familiarity: Data visualization tools (Power BI, Tableau). Awareness: Data governance, management practices, tools. Exposure across several key global groups. Competitive salary, + Bonus, medical and retirement benefits. Wellbeing, Sports. To Apply: Please More ❯

ll need to succeed Proven experience as a BI Analyst within the social housing sector. Strong working knowledge of Housing Management Systems and their data structures. Proficient in data visualisation and reporting tools (SQL Server, SSRS reports, Power BI, Microsoft Fabric). Excellent analytical, project management and problem-solving skills. Strong communication skills with the ability to translate complex data More ❯

and reports to monitor operational and commercial KPIs Supporting strategic planning as the business expands across the UK SKILLS & EXPERIENCE REQUIRED Strong SQL and Python skills Experience with data visualisation tools (Power BI preferred, but flexible) Proven background in analytics or data science, ideally in a commercial or operational context Exposure to predictive modelling, segmentation, or pricing analytics Ability to More ❯

MDG . Data Governance & Quality Tools: e.g. Collibra, Talend, Snowflake, PowerBI. Knowledge: Metadata management, data lineage, cataloguing. Proficiency: SQL, data analysis tools. Experience: Data integration, ETL processes. Familiarity: Data visualization tools (Power BI, Tableau). Awareness: Data governance, management practices, tools. Exposure across several key global groups. Competitive salary, + Bonus, medical and retirement benefits. Wellbeing, Sports. To Apply: Please More ❯

Proven experience in Python programming for data analysis (pandas, numpy, Jupyter). Strong object-oriented programming and design pattern knowledge. Experience with SQL and relational databases. Familiarity with data visualisation tools (e.g., Plotly Dash, Power BI). Understanding of software development best practices (Git, CI/CD, testing). Exposure to cloud computing platforms (AWS or Azure). Excellent analytical More ❯

Proven experience in Python programming for data analysis (pandas, numpy, Jupyter). Strong object-oriented programming and design pattern knowledge. Experience with SQL and relational databases. Familiarity with data visualisation tools (e.g., Plotly Dash, Power BI). Understanding of software development best practices (Git, CI/CD, testing). Exposure to cloud computing platforms (AWS or Azure). Excellent analytical More ❯

the firm Skills & Experience Proven experience as a BI Developer or Data Engineer in a financial services or wealth management environment Strong proficiency in Power BI, DAX, and data visualization best practices Advanced SQL skills and experience with relational databases Hands-on experience with Azure (e.g., Azure Data Factory, Azure SQL, Synapse) Solid understanding of ETL processes and data warehousing More ❯