1 to 25 of 34 Remote Contract Visualisation Jobs

up to date with emerging analytics tools and techniques to continuously improve reporting and analysis processes. Profile * The Data Analyst will have proven experience with data analysis, reporting, and visualisation tools such as Power BI, Excel, SQL, and Tableau.* Strong proficiency in SQL for querying and manipulating large datasets.* Experience with data modelling and basic understanding of data warehousing concepts. 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 ❯

good understanding of core Bank products such as Trade Finance, Loans and SWIFT payments. Experience with analytical or database querying software such as SQL and Python. Experience with data visualisation tools such as Tableau and PowerBI The ability to identify wider business impacts or opportunities across key outputs and processes. Ability to work unaided on projects and manage their own More ❯

good understanding of core Bank products such as Trade Finance, Loans and SWIFT payments. Experience with analytical or database querying software such as SQL and Python. Experience with data visualisation tools such as Tableau and PowerBI The ability to identify wider business impacts or opportunities across key outputs and processes. Ability to work unaided on projects and manage their own More ❯

and Data Profession framework or equivalent). Advanced knowledge of Microsoft 365 tools, particularly: SharePoint, MS Project Online, Power BI (or similar BI tools), Excel (advanced functions, modelling, and visualisation) and SQL Server Experience working with major systems such as Salesforce CRM, Oracle, and ServiceNow. Strong understanding of data analysis techniques, able to produce clear, compelling, and insightful reports and More ❯

and the broader Azure data ecosystem (Data Lake, Synapse, Analysis Services). Expertise in Natural Language Processing, clustering algorithms, text embeddings, LangChain and LLM deployment. Strong knowledge of data visualisation tools such as Power BI, DAX and Power Query. Experience in data pipeline automation and data governance in large-scale environments (Desirable). Familiarity with modern AI frameworks and open More ❯

Experience Proven experience in business and data analysis within insurance or broking environments.? Strong understanding of claims lifecycle, data governance, and regulatory frameworks.? Proficiency in Excel, SQL, and data visualization tools (e.g., Power BI).? Experience with data migration projects and legacy system decommissioning.? Excellent stakeholder engagement and communication skills.? Experience in multi-country deployments and regional configuration.? Knowledge of More ❯

analytical findings to non-technical audiences with clear storytelling, insights, and recommended actions. What should you bring along? Experience translating business requirements into actionable insights and dashboards Excellent data visualization design sense and storytelling ability; keen eye for detail. Strong problem-solving, critical thinking, and communication skills; able to explain technical concepts to non-technical audiences. Knowledge of analytical tools More ❯

design and structure of data models, with a working understanding of data modelling principles. Present findings and insights to stakeholders in a clear and engaging manner. Use reporting and visualisation tools such as Power BI to deliver business insights. Contribute to the development of scalable data solutions within a cloud architecture. Key Skills & Experience: Proven experience as a technical data More ❯

Previous experience of assessing information and data from multiple sources and determining the integrity of the data would be essential. The team have a technical ambition to be using visualisation tools in the future; however, the current role requires expertise of Microsoft products. The candidate should be comfortable with the production and presentation of workforce information and intelligence to support More ❯

Analytics or Data Science, ideally with exposure to Customer Success, Operations, or Digital Experience domains. Proficiency in SQL for data extraction, transformation, and pipeline development. Experience with dashboarding and visualization tools (Tableau, Qlik, or similar). Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes. Useful experience; Python or R for advanced analytics, automation, or experimentation support. Knowledge More ❯

data quality, data governance processes, Git version control + Agile development environments. Azure Data Engineer certification preferred -eg- Azure Data Engineer Associate. Advantageous skills: Azure Event Hubs, Kafka, data visualisation tools, Power BI, Tableau, Azure DevOps, Docker, Kubernetes, Jenkins. More ❯

data quality, data governance processes, Git version control + Agile development environments. Azure Data Engineer certification preferred -eg- Azure Data Engineer Associate. Advantageous skills: Azure Event Hubs, Kafka, data visualisation tools, Power BI, Tableau, Azure DevOps, Docker, Kubernetes, Jenkins. More ❯

A proactive, collaborative approach aligned with values: Open, Courageous, and Inventive . Desirable Skills and Experience Experience in higher education or a similar large, matrixed organisation. Proficiency in data visualisation and reporting tools (Power BI, Tableau, or advanced Excel). Knowledge of resource planning and benefits management principles. More ❯

A proactive, collaborative approach aligned with values: Open, Courageous, and Inventive . Desirable Skills and Experience Experience in higher education or a similar large, matrixed organisation. Proficiency in data visualisation and reporting tools (Power BI, Tableau, or advanced Excel). Knowledge of resource planning and benefits management principles. More ❯

version control, testing, and CI/CD. Desirable Skills Experience creating optimised data workflows and scalable AI solutions. Deep understanding of Microsoft Azure AI services. Strong data analytics and visualisation skills using Excel and Alteryx . Awareness of Responsible AI and ethical model design principles. More ❯

your technical expertise to help shape best practices for rapid application delivery. Technical Skills (mix of the following is ideal) .NET/C# Angular Python Power BI (for data visualisation and dashboards) Java (occasional use) Familiarity with tools and frameworks that enable rapid prototyping and iterative development What Were Looking For Proven experience delivering small-scale or rapid development projects More ❯

learn how to interrogate data and how to provide analysis to both internal and external customers. You will learn about, and work in areas such as: Database Design Data Visualisation Cloud Platform Deployment Interpreting data Statistical analysis and other analytical techniques Data Science Coding Data Quality Big Data Data Structures Data Security, ethics, and Information Governance In additional to gaining … provide insight and report any data limitations. 4. Using Business Intelligence tools to interrogate, analyse and visualise data. 5. Use programming languages and tools for data manipulation, analysis, and visualization 6. Communicating findings effectively to technical and non-technical audiences 7. Ensuring data security, information governance and ethical principles are observed 9. Contributing effectively to team meetings and project working More ❯

Position: Analytics Engineer Location: London (hybrid 3 times a week)Department: ITType: 3 months rolling contractOutside IR35 The client is seeking an experienced Analytics Engineer to join its Data & Analytics team. The role focuses on building scalable data pipelines, transforming More ❯

Position: Analytics Engineer Location: London (hybrid 3 times a week) Department: IT Type: 3 months rolling contract Outside IR35 The client is seeking an experienced Analytics Engineer to join its Data & Analytics team. The role focuses on building scalable data More ❯

You'll: Design, implement, and optimise live streaming capabilities into existing software-based video pipelines. Leverage hardware acceleration to build high-performance, low-latency video capture, processing, AI inference, visualization, and streaming software. Develop robust and secure-by-design software for a regulated environment. Maintain code quality, reliability, and performance , participating in peer reviews and continuous improvement. Must Haves ? Expertise More ❯

Business Intelligence Analyst/BI Officer An exciting opportunity for a Business Intelligence Analyst/BI Officer to use data visualisation and analytics to drive insight, inform strategy, and support continuous improvement across the organisation and the wider sport sector. If youve also worked in the following roles, wed also like to hear from you: Data Analyst, Reporting Analyst, Power … and reliability of data reporting CANDIDATE REQUIREMENTS ESSENTIAL Proven experience of analysing and presenting data to varied audiences Knowledge and experience of using Power BI and DAX for data visualisation Advanced Excel skills, including Power Query and data modelling Understanding of data standards and statistical/research methods Strong communication skills and attention to detail Logical thinker with the ability More ❯

SPECIFICATION Skills Experience in some or all of the following: Component releasing, reading and using engineering drawings, FMEA, DVP, Design & Development, SQA, APQP & PPAP, 8D type problem solving, CAD visualisation tools, BOM or ETRS, supplier management. Excellent PC skills required. Good report writing and presentation skills are essential. Knowledge Knowledge of one or more mechanical systems, having previously managed components More ❯

Title: Information Analyst Contract Type: FTC until 30/11/2026, Full-Time, 35 hours Salary starting at: £47,135 per annum (London weighted salary) or £41,168 per annum (Regional salary), dependant on experience Grade : 9 Reporting Office More ❯

management of Elastic stacks (Elasticsearch, Logstash, Kibana) Experience of configuring and maintaining large Elastic clusters Experience working with large data sets and elastic indexing best practices. Good understanding on Visualisation components and techniques in Elasticsearch. Proven experience in performance management and tuning of Elasticsearch environment. Strong experience in writing data ingestion pipelines using Logstash and other big data technologies. Please More ❯