26 to 50 of 438 Remote Visualisation Jobs

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 ❯

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 ❯

Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong More ❯

Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong More ❯

Science or related field 3-5 years' experience in data, financial, or commercial analysis Strong background in financial reporting and CPP analysis Advanced Excel skills and proficiency in data visualisation tools Experience with ERP systems (SAP, Oracle) and PPM platforms Fluent English communication skills, both written and verbal Knowledge of cost allocation, activity-based costing, and benchmarking Personal Traits: Detail More ❯

Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong More ❯

of emerging technologies and continuously develop skills to stay at the forefront of data and analytics. Person Specification Essential skills and experience: Significant expertise in Power BI for data visualisation and reporting. Hands-on experience with Azure services (Azure Data Factory, Azure SQL Server). Strong understanding of dimensional modelling (e.g., Kimball methodology). Proficiency in sourcing, manipulating, and interpreting More ❯

Engineering role Active Security Clearance is required Strong skills in data discovery and analysis, including schema reverse engineering and interpretation of exported datasets Experience with wireframing and designing data visualisation solutions (preferably in Power BI) Expertise in data mapping and data modelling Experience working with structured and semi-structured data formats, including JSON, XM, SQL, SAP CDS Views Must be More ❯

independently and liaise with other departments Good knowledge of Microsoft Office applications (advanced MS Excel experience) and other productivity tools (Intapp knowledge is an advantage) Proficient in using data visualization tools and techniques (e.g., Tableau, Power BI) Flexible, to work a reasonable shift schedule Exceptional problem-solving, critical thinking and analytical skills Able to contribute ideas for process improvements and More ❯

Implement data quality and data governance frameworks to ensure data accuracy, consistency, and compliance with industry standards. Perform data modelling and schema design to support data analysis, reporting, and visualisation needs Monitor and troubleshoot data pipelines, identify, and resolve performance bottlenecks, and ensure data integrity and availability. To be successful you require: Degree Qualification in Computer Science, Engineering or related 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 ❯

business recommendations. Strong communication and stakeholder management skills. Degree in quantitative field such as Mathematics, Statistics, Economics, Finance, or a related discipline. Experience with machine learning techniques and data visualisation tools is a plus. What’s in it for you? Joining BNP Paribas Personal Finance means becoming part of a Top Employer UK dedicated to making a difference to the More ❯

the adoption of data-driven decision-making and best practices throughout Freetrade. About you Solid experience with SQL for data extraction, manipulation, and analysis. Confident, practical experience with data visualization tools (e.g., Tableau, Power BI) and creating compelling dashboards and reports. Proven ability to connect KPIs and analysis to business outcomes, persuading stakeholders and using data to enhance decision-making 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 ❯

Microsoft Fabric - Knowledge of data modelling, data pipelines, data lakehouse, data warehouse using Microsoft Fabric - Strong relational database and SQL experience - Microsoft SQL Server, T-SQL - Experience with data visualization tools such as Tableau, Power BI or Qlik - Experience of working in an agile environment - Excellent relationship builder - Ability to make recommendations based on complex data - Able to manage a More ❯

Oracle Database and PL/SQL . Strong background in data science , analytics , or performance analysis . Experience working with NHS data or within NHS programmes. Proficiency in data visualisation tools (e.g., Power BI, Tableau, or similar). Excellent communication and stakeholder engagement skills. Contract Details Duration: 6 months Location: Fully remote Rate: £400/day IR35 Status: Inside IR35 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 ❯

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 ❯

data solutions using industry-leading technologies. Working with cutting-edge technology stack: Snowflake & AWS cloud platforms ERWIN & Sparx EA modelling tools Oracle/PostgreSQL databases Power BI & Tableau for visualization Essential Experience: Proven track record in data modelling and profiling within Finance domains (HR experience highly desirable) Expert-level skills in dimensional and semantic modelling for enterprise data warehouses Advanced 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 ❯

solving skills, attention to detail, and interpersonal skills Ability to manage multiple tasks and prioritize effectively Experience supporting analytical projects end-to-end, and communicating findings through clear data visualisation Preferred Qualifications: Degree in Data Analytics, Engineering, or other quantitative field Experience working with large scale dataset Experience working in operations or process improvement More ❯

solving skills, attention to detail, and interpersonal skills Ability to manage multiple tasks and prioritize effectively Experience supporting analytical projects end-to-end, and communicating findings through clear data visualisation Preferred Qualifications: Degree in Data Analytics, Engineering, or other quantitative field Experience working with large scale dataset Experience working in operations or process improvement 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 ❯