26 to 50 of 669 Visualisation Jobs in the UK excluding London

consulting firm, tech company, or product-led organization. You possess a strong quantitative background and are proficient in SQL, Python, R, or other data analysis tools. Experience with data visualization platforms (e.g., Tableau, Looker, Power BI) is essential. You are a structured problem-solver who breaks down complex, ambiguous problems into actionable steps—consulting experience is a major plus. You More ❯

consulting firm, tech company, or product-led organization. You possess a strong quantitative background and are proficient in SQL, Python, R, or other data analysis tools. Experience with data visualization platforms (e.g., Tableau, Looker, Power BI) is essential. You are a structured problem-solver who breaks down complex, ambiguous problems into actionable steps—consulting experience is a major plus. You More ❯

consulting firm, tech company, or product-led organization. You possess a strong quantitative background and are proficient in SQL, Python, R, or other data analysis tools. Experience with data visualization platforms (e.g., Tableau, Looker, Power BI) is essential. You are a structured problem-solver who breaks down complex, ambiguous problems into actionable steps—consulting experience is a major plus. You More ❯

consulting firm, tech company, or product-led organization. You possess a strong quantitative background and are proficient in SQL, Python, R, or other data analysis tools. Experience with data visualization platforms (e.g., Tableau, Looker, Power BI) is essential. You are a structured problem-solver who breaks down complex, ambiguous problems into actionable steps—consulting experience is a major plus. You More ❯

consulting firm, tech company, or product-led organization. You possess a strong quantitative background and are proficient in SQL, Python, R, or other data analysis tools. Experience with data visualization platforms (e.g., Tableau, Looker, Power BI) is essential. You are a structured problem-solver who breaks down complex, ambiguous problems into actionable steps—consulting experience is a major plus. You More ❯

consulting firm, tech company, or product-led organization. You possess a strong quantitative background and are proficient in SQL, Python, R, or other data analysis tools. Experience with data visualization platforms (e.g., Tableau, Looker, Power BI) is essential. You are a structured problem-solver who breaks down complex, ambiguous problems into actionable steps—consulting experience is a major plus. You More ❯

consulting firm, tech company, or product-led organization. You possess a strong quantitative background and are proficient in SQL, Python, R, or other data analysis tools. Experience with data visualization platforms (e.g., Tableau, Looker, Power BI) is essential. You are a structured problem-solver who breaks down complex, ambiguous problems into actionable steps—consulting experience is a major plus. You More ❯

consulting firm, tech company, or product-led organization. You possess a strong quantitative background and are proficient in SQL, Python, R, or other data analysis tools. Experience with data visualization platforms (e.g., Tableau, Looker, Power BI) is essential. You are a structured problem-solver who breaks down complex, ambiguous problems into actionable steps—consulting experience is a major plus. You More ❯

consulting firm, tech company, or product-led organization. You possess a strong quantitative background and are proficient in SQL, Python, R, or other data analysis tools. Experience with data visualization platforms (e.g., Tableau, Looker, Power BI) is essential. You are a structured problem-solver who breaks down complex, ambiguous problems into actionable steps—consulting experience is a major plus. You More ❯

consulting firm, tech company, or product-led organization. You possess a strong quantitative background and are proficient in SQL, Python, R, or other data analysis tools. Experience with data visualization platforms (e.g., Tableau, Looker, Power BI) is essential. You are a structured problem-solver who breaks down complex, ambiguous problems into actionable steps—consulting experience is a major plus. You More ❯

consulting firm, tech company, or product-led organization. You possess a strong quantitative background and are proficient in SQL, Python, R, or other data analysis tools. Experience with data visualization platforms (e.g., Tableau, Looker, Power BI) is essential. You are a structured problem-solver who breaks down complex, ambiguous problems into actionable steps—consulting experience is a major plus. You More ❯

and diversity in both employment and the delivery of services. Job description Job responsibilities As the Insight Analyst, you will: Apply tools and techniques for data analysis and data visualisation (e.g. Power BI). Presenting data and analyses in a visually appealing way that directs attention to areas of key interest and importance. Proactively share knowledge and promote a data More ❯

landscape. This is a permanent role, based in London and is hybrid working. Requirements : Advanced proficiency in SQL and intermediate Python skills Proven experience with Power BI for data visualisation Hands-on experience with cloud-based platforms and data warehousing tools (e.g., Google Cloud Platform, Big Query) Proven experience analysing financial and economic datasets in a business environment Proven experience 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 ❯

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 ❯

NumPy, Scikit-learn, TensorFlow, or PyTorch. Machine learning expertise: Hands-on experience in supervised and unsupervised learning, with exposure to NLP, computer vision, or deep learning a plus. Data visualisation: Proficiency in Tableau, Power BI, or similar. Problem-solving mindset: Ability to translate complex technical problems into business solutions. 🌟 It’s a Bonus If You Have: Experience in SaaS, fintech More ❯

NumPy, Scikit-learn, TensorFlow, or PyTorch. Machine learning expertise: Hands-on experience in supervised and unsupervised learning, with exposure to NLP, computer vision, or deep learning a plus. Data visualisation: Proficiency in Tableau, Power BI, or similar. Problem-solving mindset: Ability to translate complex technical problems into business solutions. 🌟 It’s a Bonus If You Have: Experience in SaaS, fintech More ❯

plus Technical skills Degree in a relevant field, e.g. Mathematics, Physics, Statistics, Engineering, or Computer Science Proficiency in a statistical programming language, e.g. R or Python Proficiency with data visualization and reporting tools, e.g. Tableau or PowerBI Strong proficiency in data analysis or mathematical model development, with a strong understanding of statistics concepts such as multivariate testing Experience using code More ❯

learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and model evaluation techniques. Experience with cloud platforms (e.g., AWS, Azure, GCP) and deployment of models in cloud environments. Experience with data visualization tools such as Tableau, Power BI, or similar to effectively present validation results and insights. Nice-to-Have Requirements: Familiarity with big data tools and technologies, such as Hadoop, Kafka More ❯

functions. Strong grasp of agile delivery methods (e.g. sprint planning, backlog management). Strong background in developing and managing reporting frameworks aligned to business performance management. Expertise in data visualisation tools, data modelling, dashboard development and reporting automation. Proven ability to lead and develop analyst teams, including recruitment, coaching and capability building. Excellent stakeholder management skills, able to balance framework More ❯

essential skills and experience. Previous experience as a data analyst. Strong IT literacy with emphasis on MS Excel within the MS Office suite. Experience with reporting/analysis/visualisation tools such as Power BI, SQL, Python or similar. Knowledge of Power Automate, Visio, and MS Forms tools. Strong communication skills – both verbal and written. Strong analytical and problem-solving More ❯

tools). • Solid understanding of software licensing models and compliance frameworks. • Auditing background (ideally Big 4 such as Deloitte, PwC, EY, or KPMG). • Excellent data analysis, reporting, and visualization skills. • Strong knowledge of IT infrastructure landscapes (servers, cloud, hardware assets, networks). • Advanced Excel; experience with SQL, Power BI, or similar analytics tools is a plus. • Exceptional attention to More ❯

tools). • Solid understanding of software licensing models and compliance frameworks. • Auditing background (ideally Big 4 such as Deloitte, PwC, EY, or KPMG). • Excellent data analysis, reporting, and visualization skills. • Strong knowledge of IT infrastructure landscapes (servers, cloud, hardware assets, networks). • Advanced Excel; experience with SQL, Power BI, or similar analytics tools is a plus. • Exceptional attention to More ❯

tools). • Solid understanding of software licensing models and compliance frameworks. • Auditing background (ideally Big 4 such as Deloitte, PwC, EY, or KPMG). • Excellent data analysis, reporting, and visualization skills. • Strong knowledge of IT infrastructure landscapes (servers, cloud, hardware assets, networks). • Advanced Excel; experience with SQL, Power BI, or similar analytics tools is a plus. • Exceptional attention to More ❯