1 to 25 of 180 Remote Visualisation Jobs in England

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 ❯

knowledge and experience in Data Analytics Architecture. Understanding of Data Governance processes and platforms. Experience with Data Ingestion and Transformation in data warehouses or data lakes. Proficiency in Data Visualization tools and techniques (e.g., Tableau, Power BI, etc.). Professional certifications in data-related fields e.g., Azure Data are a plus. Transversal Skills People are at the center of who More ❯

with technical and non-technical audiences. Experience in understanding, gathering, and analysing business requirements, with an analytical mind-set and a problem-solving approach. Knowledge of modelling with data visualisation solutions (e.g. Microsoft Power BI). Analytical troubleshooting and problem-solving skills. Strong understanding of commercial operations and market dynamics in the housing industry preferable. Exceptional problem-solving and critical 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. Permanent position with opportunities for growth within the company. Pension scheme to support your long More ❯

or economics. Is eager to learn and grown into the field of data A basic proficiency in SQL for data extraction and querying would be useful. Experience with data visualisation tools such as Tableau, Power BI, or Metabase would be beneficial. Articulate and confident communicator, skilled at conveying complex ideas with clarity and impact If this sounds like the role More ❯

with technical and non-technical audiences. Experience in understanding, gathering, and analysing business requirements, with an analytical mind-set and a problem-solving approach. Knowledge of modelling with data visualisation solutions (e.g. Microsoft Power BI). Analytical troubleshooting and problem-solving skills. Strong understanding of commercial operations and market dynamics in the housing industry preferable. Exceptional problem-solving and critical More ❯

and influencing skills, you don't just crunch numbers, you drive decisions. Nice-to-Haves Experience with forecasting models for revenue, client growth, and network activity. Familiarity with data visualization tools like Tableau. Exposure to fraud detection, anomaly detection and pattern recognition modeling. More ❯

and non-technical groups Strong business acumen and ability to connect data insights with organizational goals Desirable Skills Background in e-commerce, marketing, or operations analytics Experience with data visualization tools (e.g., Looker, Tableau, Power BI) Familiarity with modern data stack tools such as dbt, Airflow, and Git-based workflows Experience contributing to data product development, working closely with engineers 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 ❯

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 ❯

ETL/ELT tools (Airflow/dbt), AWS/Azure/GCP Machine Learning & AI: Classification, regression, clustering, forecasting; NLP (text mining, sentiment, LLM fine-tuning); GenAI frameworks Analytics & Visualisation: BI tools (Power BI, Tableau, Looker), interactive dashboards, prototypes Productisation & Deployment: APIs/microservices, Git/GitHub, Docker (Kubernetes advantageous) Other: Experimental design (A/B testing), data governance, ethical More ❯

ETL/ELT tools (Airflow/dbt), AWS/Azure/GCP Machine Learning & AI: Classification, regression, clustering, forecasting; NLP (text mining, sentiment, LLM fine-tuning); GenAI frameworks Analytics & Visualisation: BI tools (Power BI, Tableau, Looker), interactive dashboards, prototypes Productisation & Deployment: APIs/microservices, Git/GitHub, Docker (Kubernetes advantageous) Other: Experimental design (A/B testing), data governance, ethical More ❯

science and machine learning Experience with one or more generative AI and LLM frameworks and tools. Experience with machine learning concepts and techniques and Deep Learning. Experience with data visualisation and storytelling tools and techniques. Understanding of ethical considerations and compliance requirements in AI, including data privacy, bias mitigation, and responsible AI practices. Experience with integrating AI solutions into existing More ❯

preparing data for analysis. Presenting data and insights in accessible formats tailored to different audiences. You will need to demonstrate the following skills and experience; Experience in using data visualisation tools, particularly Power BI, to effectively present insights Experience in data analysis within public and/or private sector organisations. Familiarity with Agile delivery environments and collaborative working practices. Proficiency More ❯

this role Were looking for a proactive analyst who combines strong technical skills with the ability to tell compelling data stories. Youll need: 25 years experience in data analysis, visualisation, and modelling. Strong SQL skills (joins, CTEs, window functions, query optimisation). Experience building dashboards in Power BI (preferred) or Tableau, including DAX and data modelling. Familiarity with cloud data More ❯

and other Global Chapter Leads (especially Product Management and Agile Chapter Lead). Low-Code/No-Code Platforms :Proficiency in Microsoft Power Platform tools: Power BI (for data visualization), PowerApps (for app development), and Power Automate (for workflow automation).Experience with SharePoint for document management and collaboration, particularly in environments where interoperability between platforms is essential. Programming & Scripting : Knowledge More ❯

dashboards and reports using Power BI and D365 Collaborate with stakeholders to identify reporting needs and streamline processes Support ongoing data projects, offering best-in-class analytics and data visualisation Ensure data accuracy, integrity, and accessibility for business-critical decisions Requirements: Proven experience as a Senior Data Analyst in a commercial environment Strong knowledge of Microsoft Dynamics 365 (D365) is More ❯

What We're Looking For: Strong Excel and data handling skills (SQL knowledge a plus) A methodical, detail-oriented approach to working with large datasets Some familiarity with data visualisation tools (e.g., Power BI or Tableau) is desirable Eager to learn, with a genuine interest in using data to solve business problems Quantitative degree from a leading university is essential More ❯

live and early life support. What You'll Need: A STEM degree or equivalent experience. Experience in business intelligence roles, including dashboard/report creation of varying complexity with visualization and analytical using tools like Power BI. MS SQL experience and knowledge & understanding of DAX. Experience of Agile delivery. Experience of PowerApps, Power Automate, machine learning, and Microsoft Fabric. What More ❯

tools (Power Apps, Automate, BI, Pages, SharePoint, Dynamics 365 CE, Azure). Collaborate with stakeholders, analysts, and consultants to translate requirements into technical solutions. Support process automation and data visualisation to improve efficiency and decision-making. Contribute to testing, debugging, documentation, and user support. Ensure compliance with governance, security, and best practice frameworks. At senior level: Provide technical leadership, mentoring More ❯

tools (Power Apps, Automate, BI, Pages, SharePoint, Dynamics 365 CE, Azure). Collaborate with stakeholders, analysts, and consultants to translate requirements into technical solutions. Support process automation and data visualisation to improve efficiency and decision-making. Contribute to testing, debugging, documentation, and user support. Ensure compliance with governance, security, and best practice frameworks. At senior level: Provide technical leadership, mentoring More ❯

or R is a bonus) Experience in analytical roles, ideally with commercial or finance exposure Confidence working with senior stakeholders A curious mindset and proactive approach Experience with data visualisation tools (Power BI preferred) Solid understanding of statistics and how to apply it in context Nice to Have Familiarity with consumer data and campaign analytics If you’re ready to More ❯

field, or industry experience/certifications such as PL-300/DA-100. Strong experience with Power BI Desktop and Service, including DAX and Power Query (M). Data visualisation skills. Ability to manage Power BI environments (workspaces, permissions, deployment pipelines). Solid understanding of data modelling principles and experience with tabular models (Power BI/Azure Analysis Services). More ❯

field, or industry experience/certifications such as PL-300/DA-100. Strong experience with Power BI Desktop and Service, including DAX and Power Query (M). Data visualisation skills. Ability to manage Power BI environments (workspaces, permissions, deployment pipelines). Solid understanding of data modelling principles and experience with tabular models (Power BI/Azure Analysis Services). More ❯

like Google Tag Manager and custom data-layer setups. Build custom dashboards using Looker Studio, Power BI, Tableau and similar tools. Explore AI-driven solutions to enhance data collection, visualization, and automation. Data Analysis & Insights Analyse data to provide actionable insights, supporting campaign performance and client reporting. Create and maintain dashboards to visualise key metrics for clients and internal teams. More ❯