851 to 875 of 1,865 Visualisation Jobs in the UK

compliance with our DSPs. Minimum Qualifications Experience programming to extract, transform, and clean large datasets. Proficiency in scripting (e.g., Python) and SQL. Experience administering AWS technologies. Experience with data visualization tools like Quicksight. Ability to translate data into business insights and communicate effectively. Experience managing stakeholders and working in ambiguous environments. Bachelor's degree. Excellent communication skills. Experience working with More ❯

cloud data warehousing dbt for transformation and modelling Azure for cloud infrastructure and orchestration Fivetran for automated data ingestion Power BI and other modern BI tools for reporting and visualisation 🧠 What You’ll Do: Design and implement scalable, well-documented data models in Snowflake using dbt Build curated, reusable data layers that support consistent KPIs and enable self-service analytics More ❯

knowledge in working with data systems and managing large data sets. Database & API Management : Ability to manage and optimize databases and APIs for efficient data integration and delivery. Data Visualization & Reporting : Expertise in building interactive dashboards and reports using tools like Tableau , Power BI , and Pyramid . SQL : Proficient in SQL or similar querying languages for data extraction and analysis. More ❯

knowledge in working with data systems and managing large data sets. Database & API Management : Ability to manage and optimize databases and APIs for efficient data integration and delivery. Data Visualization & Reporting : Expertise in building interactive dashboards and reports using tools like Tableau , Power BI , and Pyramid . SQL : Proficient in SQL or similar querying languages for data extraction and analysis. More ❯

knowledge in working with data systems and managing large data sets. Database & API Management : Ability to manage and optimize databases and APIs for efficient data integration and delivery. Data Visualization & Reporting : Expertise in building interactive dashboards and reports using tools like Tableau , Power BI , and Pyramid . SQL : Proficient in SQL or similar querying languages for data extraction and analysis. More ❯

knowledge in working with data systems and managing large data sets. Database & API Management : Ability to manage and optimize databases and APIs for efficient data integration and delivery. Data Visualization & Reporting : Expertise in building interactive dashboards and reports using tools like Tableau , Power BI , and Pyramid . SQL : Proficient in SQL or similar querying languages for data extraction and analysis. More ❯

knowledge in working with data systems and managing large data sets. Database & API Management : Ability to manage and optimize databases and APIs for efficient data integration and delivery. Data Visualization & Reporting : Expertise in building interactive dashboards and reports using tools like Tableau , Power BI , and Pyramid . SQL : Proficient in SQL or similar querying languages for data extraction and analysis. More ❯

when things are complex or incomplete. What You'll Bring Strong hands-on expertise in DBT, SQL, Snowflake , and orchestration tools like Airflow. Experience with Azure Data Factory and visualisation tools such as Power BI. Deep knowledge of agile data development methodologies and best practices. A passion for automation-first thinking and platform engineering. Proven experience in technical leadership and More ❯

degree level (in a relevant finance related subject e.g. Economics, Mathematics, Statistics, Accountancy) Experience of working in a Professional Services environment is beneficial but not essential Experience of using visualisation tools, e.g. Power BI, would be beneficial Advanced Excel skills and a good working knowledge of Microsoft Office products (e.g. Word, PowerPoint) Team player, with the ability to work in More ❯

degree level (in a relevant finance related subject e.g. Economics, Mathematics, Statistics, Accountancy) Experience of working in a Professional Services environment is beneficial but not essential Experience of using visualisation tools, e.g. Power BI, would be beneficial Advanced Excel skills and a good working knowledge of Microsoft Office products (e.g. Word, PowerPoint) Team player, with the ability to work in More ❯

with a proven track record Relevant experience in analyzing large data sets, data quality, and data warehousing to identify improvement opportunities Relevant experience creating dashboards using Excel, SQL, and visualization tools PREFERRED QUALIFICATIONS Prior experience as a capacity planner or S&OP analyst. Previous coding experience in R, Python, or VBA. Amazon is an equal opportunities employer. We believe passionately More ❯

degree level (in a relevant finance related subject e.g. Economics, Mathematics, Statistics, Accountancy) Experience of working in a Professional Services environment is beneficial but not essential Experience of using visualisation tools, e.g. Power BI, would be beneficial Advanced Excel skills and a good working knowledge of Microsoft Office products (e.g. Word, PowerPoint) Team player, with the ability to work in More ❯

avanced Excel like Power Queries and knowledge of hypothesis testing are required. BASIC QUALIFICATIONS - Advanced SQL, Python, advanced Excel like Power Queries and knowledge of hypothesis testing and data visualisation tools are required. - Ability to develop models to forecast adoption, growth or profitability of some projects. - Data mining, segmentation, and other analytical techniques to capture important trends and create relevant More ❯

optimize PLC code for data collection, automation control, and troubleshooting. Industrial Networking & Protocols: Proficiency in OPC UA, Profinet, Modbus, Ethernet-IP for seamless communication between industrial devices. Data Analytics & Visualization: Experience using Power BI, SQL, Python, and C# to develop data-driven insights from automation systems. Machine Connectivity & IIoT: Strong understanding of IoT sensors, vision systems (Keyence), and conveyor integration. More ❯

and supporting our multi-award winning AI product portfolio. The Data Scientist will: Undertake data collection, processing and analysis Build models to address business problems Present information using data visualization techniques Develop (design, code and test), deploy & support code as part of our AI Products in Cloud-hosted infrastructure for use by end customers Provide Level 3 type application support More ❯

and supporting our multi-award winning AI product portfolio. The Data Scientist will: Undertake data collection, processing and analysis Build models to address business problems Present information using data visualization techniques Develop (design, code and test), deploy & support code as part of our AI Products in Cloud-hosted infrastructure for use by end customers Provide Level 3 type application support More ❯

value to the business. Experience developing data strategies and setting up data structures. Experienced working with analytics platforms e.g. Google Analytics to deliver value from data. Understanding of data visualisation tools (Power BI/Tableau) Experience working with large datasets and databases and interrogate the underlying data sources, advising on data quality issues. Excellent communication skills and the ability to More ❯

opportunity to work with large datasets, uncover insights, and support data-driven decision-making for a leading flexible office space provider. The ideal candidate will have experience in data visualization, statistical analysis, and business intelligence tools to optimize performance and drive strategic growth. If you have a passion for turning raw data into actionable insights and want to work in More ❯

business requirements, ensuring a clear understanding of project needs and objectives Reporting & presentations: Prepare reports, summaries, and presentations for various stakeholders using tools like Excel, PowerPoint, and other data visualization tools Testing & validation: Participate in user acceptance testing (UAT) and validate business requirements against delivered solutions. Project support: Assist in project planning and coordination tasks, helping to track timelines, risks More ❯

enterprise environment - Extensive hands-on experience with data platform technologies, including at least three of: Spark, Hadoop ecosystem, orchestration frameworks, MPP databases, NoSQL, streaming technologies, data catalogs, BI and visualization tools - Proficiency in at least one programming language (e.g., Python, Java, Scala), infrastructure as code, cloud platforms, and SQL. PREFERRED QUALIFICATIONS - Experience in a lead Data Architect role or similar More ❯

of the world's largest providers of products and services to the global energy industry. Job Duties We are looking to recruit an individual to fulfil a Geospatial data visualization and analytics position within our Landmark Product Line. Successful candidates will be enthusiastic and motivated people who can upskill in our processes and ultimately take the lead on multiple geospatial More ❯

through training Performing other duties as required The Person Knowledge, Skills and Experience Proven experience in areas like Statistical Modelling, AI, Machine Learning, Data Analytics, Data Engineering, or Data Visualization Experience in cleaning, processing, and modelling data with R or Python Experience analyzing datasets to address challenges or insights Delivering projects on time and quality Excellent interpersonal skills Ability to More ❯

using a variety of statistical and machine learning techniques. Support the analytical needs of the technical team inclusive of cleansing, mapping, statistical inferences, feature engineering and the bespoke data visualisation methods required by each project. Review the execution of software solutions and how these perform for the business and your clients, establishing key findings and commercially minded resolutions. Work with More ❯

using a variety of statistical and machine learning techniques. Support the analytical needs of the technical team inclusive of cleansing, mapping, statistical inferences, feature engineering and the bespoke data visualisation methods required by each project. Review the execution of software solutions and how these perform for the business and your clients, establishing key findings and commercially minded resolutions. Work with More ❯

by using Hadoop/Spark/SQL. Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas, scikit-learn, along with data visualization technologies. Experience in the retail sector would be an added advantage. What you can expect from us We won't just meet your expectations. We'll defy them. So you More ❯