51 to 75 of 411 Remote Visualisation Jobs

through to solution design, development, implementation and support. Projects typically span data ingestion, data storage (e.g. building new data lakes or data warehouses), data processing, data management, analytics and visualisation, using the latest technologies such as Azure SQL, Synapse Analytics, Fabric, Databricks, Power BI and more This role would be well-suited to a Data Engineer looking to take their More ❯

through to solution design, development, implementation and support. Projects typically span data ingestion, data storage (e.g. building new data lakes or data warehouses), data processing, data management, analytics and visualisation, using the latest technologies such as Azure SQL, Synapse Analytics, Fabric, Databricks, Power BI and more This role would be well-suited to a Data Engineer looking to take their More ❯

through to solution design, development, implementation and support. Projects typically span data ingestion, data storage (e.g. building new data lakes or data warehouses), data processing, data management, analytics and visualisation, using the latest technologies such as Azure SQL, Synapse Analytics, Fabric, Databricks, Power BI and more This role would be well-suited to a Data Engineer looking to take their More ❯

through to solution design, development, implementation and support. Projects typically span data ingestion, data storage (e.g. building new data lakes or data warehouses), data processing, data management, analytics and visualisation, using the latest technologies such as Azure SQL, Synapse Analytics, Fabric, Databricks, Power BI and more This role would be well-suited to a Data Engineer looking to take their More ❯

through to solution design, development, implementation and support. Projects typically span data ingestion, data storage (e.g. building new data lakes or data warehouses), data processing, data management, analytics and visualisation, using the latest technologies such as Azure SQL, Synapse Analytics, Fabric, Databricks, Power BI and more This role would be well-suited to a Data Engineer looking to take their More ❯

through to solution design, development, implementation and support. Projects typically span data ingestion, data storage (e.g. building new data lakes or data warehouses), data processing, data management, analytics and visualisation, using the latest technologies such as Azure SQL, Synapse Analytics, Fabric, Databricks, Power BI and more. This role would be well-suited to a Data Engineer looking to take their More ❯

through to solution design, development, implementation and support. Projects typically span data ingestion, data storage (e.g. building new data lakes or data warehouses), data processing, data management, analytics and visualisation, using the latest technologies such as Azure SQL, Synapse Analytics, Fabric, Databricks, Power BI and more. This role would be well-suited to a Data Engineer looking to take their More ❯

through to solution design, development, implementation and support. Projects typically span data ingestion, data storage (e.g. building new data lakes or data warehouses), data processing, data management, analytics and visualisation, using the latest technologies such as Azure SQL, Synapse Analytics, Fabric, Databricks, Power BI and more. This role would be well-suited to a Data Engineer looking to take their More ❯

through to solution design, development, implementation and support. Projects typically span data ingestion, data storage (e.g. building new data lakes or data warehouses), data processing, data management, analytics and visualisation, using the latest technologies such as Azure SQL, Synapse Analytics, Fabric, Databricks, Power BI and more. This role would be well-suited to a Data Engineer looking to take their More ❯

teams and senior stakeholders. Skilled in business process modelling and documentation (BPMN). Familiarity with agile methodologies and working in cross-functional agile teams. Proficiency with data analysis and visualisation tools (e.g. Excel, Power BI, Tableau). Understanding of data management, governance, and data quality principles. Professional proficiency in English (spoken and written). *Rates depend on experience and client More ❯

version control practices (Git, CI/CD pipelines, containers). Understanding of marketing technology ecosystems (e.g. ad platforms, CRM integrations). Hands-on experience with Power BI or other visualisation platforms. Why Join Us? Ownership culture: Be a part of an employee-owned company. Hybrid Working: Enjoy flexibility in balancing office and remote work. Professional Growth: Receive structured training and More ❯

version control practices (Git, CI/CD pipelines, containers). Understanding of marketing technology ecosystems (e.g. ad platforms, CRM integrations). Hands-on experience with Power BI or other visualisation platforms. Why Join Us? Ownership culture: Be a part of an employee-owned company. Hybrid Working: Enjoy flexibility in balancing office and remote work. Professional Growth: Receive structured training and More ❯

version control practices (Git, CI/CD pipelines, containers). Understanding of marketing technology ecosystems (e.g. ad platforms, CRM integrations). Hands-on experience with Power BI or other visualisation platforms. Why Join Us? Ownership culture: Be a part of an employee-owned company. Hybrid Working: Enjoy flexibility in balancing office and remote work. Professional Growth: Receive structured training and More ❯

outcome-oriented environment that values high performance, practical impact, and clear communication. Key Responsibilities Develop and maintain scalable, reproducible analytical workflows using Python and SQL. Lead dashboard development and visualisation, becoming the team's go-to expert for tools used by Fund Management teams. Collaborate with data engineers and data scientists on data exploration, cleansing, and pipeline optimisation. Translate complex More ❯

version control practices (Git, CI/CD pipelines, containers). Understanding of marketing technology ecosystems (e.g. ad platforms, CRM integrations). Hands-on experience with Power BI or other visualisation platforms. Why Join Us? Ownership culture: Be a part of an employee-owned company. Hybrid Working: Enjoy flexibility in balancing office and remote work. Professional Growth: Receive structured training and More ❯

version control practices (Git, CI/CD pipelines, containers). Understanding of marketing technology ecosystems (e.g. ad platforms, CRM integrations). Hands-on experience with Power BI or other visualisation platforms. Why Join Us? Ownership culture: Be a part of an employee-owned company. Hybrid Working: Enjoy flexibility in balancing office and remote work. Professional Growth: Receive structured training and More ❯

in: Power BI and Technical Skills: 1–2 years’ experience building and maintaining Power BI reports, with proficiency in SQL and Databricks to analyse large datasets. Analytical and Data Visualisation Expertise: Proven ability to translate data into meaningful insights and create impactful visual reports that inform business decisions. Experience in Consumer and Commercial Insight: Understanding of loyalty and consumer metrics More ❯

/Accounting Knowledge Familiar with Regulatory requirements Expertise in 340B program operations, compliance, and reporting. Familiarity with grantee healthcare environments (e.g., FQHC, Ryan White). Strong analytical and data visualization skills. Working knowledge of healthcare finance and billing practices. Proficiency in Microsoft Office and data tools (e.g., Power BI). Effective project and team management capabilities. Excellent communication and collaboration More ❯

Developing, Monitoring, and Scheduling Pipelines). Experience with Azure DevOps for Source Control and Deployment. Python Development Experience. Working knowledge of Boomi. Some experience working with Business Intelligence data visualization tools (Tableau/Power BI/SSRS preferred). Experience within Legal Industry is a plus. Other Supervisory Responsibilities : None. Provides general technical team and project leadership. Provide significant input More ❯

security, data architecture - Working alongside end users, stakeholders and data product teams Technology skillset: - Experience in data engineering, data modelling and data analytics [programming languages: Python, SQL, Alteryx] - Data Visualisation experience [tools: PowerBI, Tableau or similar] - MetaData management and data cataloguing [tools: Collibra, Alation] - Data Platform tools [DataBricks, Azure, Kafka] Other skills required: - Strong stakeholder management skills - Experience working in More ❯

innovation goals. - Manage JIRA project tracking, maintain Confluence documentation, and oversee code design for efficient development and collaboration. - Lead technical design and implementation of data models, ETL processes, and visualisation tools (BigQuery, Airflow, SSIS, Tableau, SSRS). - Define and implement best practices in data modeling, including data warehouse and lakehouse integration (Medallion Architecture). Skills and Experience: - Strong understanding of 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 ❯

technology agnostic. Proficiency in SQL and experience with data engineering coding languages such as Python, R, or Spark. Understanding of data warehouse and data lake principles. Experience with data visualisation tools such as PowerBI or Tableau. Leadership or mentoring experience within a technical team. Agile and/or DevOps project delivery experience, including peer reviews and continuous improvement practices. Familiarity More ❯

Data Science should have: Proven experience in data science and analytics, ideally within the public sector or regulatory body. A strong background in statistical modelling, machine learning, and data visualisation tools Expert use of standard statistical tools e.g. R/Python and relevant associated libraries Deep expertise in building and maintaining AI and machine learning models, including use of deep More ❯