101 to 125 of 4,578 Visualisation Jobs in England

measures. Knowledge of AI and ML techniques and their application to data-driven insights. Knowledge of data science methodologies and tools. Knowledge in data visualization tools (e.g., Tableau, Power BI) to create compelling data stories. We care about our employees' happiness by: 25 days of Annual leave + an option More ❯

Statistics, or a related field. Experience in Virtual card payments and rebate structures. Knowledge of machine learning and statistical modelling techniques. Experience with data visualisation tools (e.g., Looker, Power BI, Google Suite). Perks of joining us: Other than an amazing environment for you to grow, have impact and show More ❯

Interpretation: Develop and oversee the analysis of datasets to identify trends, patterns, and actionable insights relevant to business objectives and major projects. Reporting and visualisation: Develop and deliver clear and impactful reports and visualisations to communicate key findings to stakeholders. Ensure that reports and dashboards are insightful and align with More ❯

a product analytics role, preferably within a B2B SaaS environment at a fast-moving organisatrion Strong analytical skills with proficiency in SQL and data visualization tools (e.g., Power BI, Tableau, Looker) Experience with product analytics platforms (e.g., Heap, Mixpanel, Google Analytics) Ability to analyze large datasets, synthesize findings, and present More ❯

ERP systems Data Analytics Requirements: 3+ years' experience with data analysis and reporting tools Proficiency in SQL for data extraction and analysis Experience with visualization tools (e.g., Tableau, Power BI) Demonstrated ability to translate data insights into actionable recommendations Program Management Skills: 3+ years' experience managing complex projects or programs More ❯

makes you great You are proficient in programming languages such as Python, R, or SQL, and have experience with machine learning frameworks and data visualization tools (e.g., Tableau, Power BI) A minimum of 2 years of industry experience in data science or a related field, including experience in building and More ❯

lifecycles; development methodology; release strategy and configuration management; development tools, and applications across full project lifecycles Experience with Power BI or a similar data visualisation tool is desirable Exposure to C# or VB.NET, PowerShell and web technologies (JavaScript, ASP.NET, etc.) is desirable Why Just? We are committed to building a More ❯

of varying complexity/ambiguity and conduct analysis to derive clear insights and actionable results Strong PowerPoint and presentation/communication skills Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc. Strong SQL skills required Experience in Python with predictive modelling, regression techniques as well as wider More ❯

with Python for data analysis, ETL and automation Experience working with large and complex data sets, data profiling and cleansing Dashboard development and data visualisation experience using Tableau, presenting data insights clearly and persuasively Experience with AWS, in particular, Lambda, S3, Athena, or equivalent cloud technologies Experience with Git Strong More ❯

employee development and performance management experience - Experience creating complex SQL queries joining multiple datasets, ETL DW concepts - Experience with Excel - 5+ years using data visualization tools like Tableau, Quicksight or similar tools - Experience with R, Python or other statistical/machine learning tools - Experience demonstrating problem solving and root cause More ❯

insights. - Proficiency in SQL and at least one programming language (Python preferred). - Solid understanding of statistics and data modeling techniques. - Experience using data visualization tools such as Tableau, Power BI, or Looker. - High attention to detail and commitment to data accuracy. Preferred Qualifications - Experience working in a consumer technology More ❯

the core of Amazon’s culture. The ideal candidate has deep expertise in gathering requirements and insights, mining large and diverse data sets, data visualization, writing complex SQL queries, building rapid prototype using Python/R and generating insights that enable senior leaders to make critical business decisions. The ideal More ❯

an aptitude for data and insights translation and the ability to work across different functional stakeholders. The ideal candidate will have experience in data visualization, statistical analysis and problem-solving, coupled with the ability to communicate findings to stakeholders in a clear and actionable way. The role will engage with More ❯

highly organised and comfortable working within a fast-paced, multifacted team Understanding of statistical techniques marketing (e.g. testing, response analysis, evaluation of ROI) Data Visualisation tools would be a bonus (Power BI/Tableau/etc) Social Analytics tools would be a bonus (Brandwatch/Sprout etc) How We Look More ❯

our programmes or work have a configuration component. The ability to use software solution to write, document, evaluation, test and improve these rules. • Data Visualization and Reporting: Create visually appealing and interactive dashboards, reports, and visualizations using Power BI, Tableau, and Excel. Present complex data analysis findings in a clear More ❯

our programmes or work have a configuration component. The ability to use software solution to write, document, evaluation, test and improve these rules. • Data Visualization and Reporting: Create visually appealing and interactive dashboards, reports, and visualizations using Power BI, Tableau, and Excel. Present complex data analysis findings in a clear More ❯

or a similar field. Strong proficiency in SQL for querying, analyzing, and interpreting large datasets. Experience building and maintaining dashboards and reports using data visualization tools (e.g., Tableau, Power BI, Looker, Mode). Strong analytical skills with the ability to translate data into actionable insights. Experience working with HR metrics More ❯

members of varying functions and levels in data quality and root cause analysis techniques. Experience using Power BI, Tableau, or similar tools for data visualisation and anomaly detection. Knowledge of P&C insurance, ideally with some experience of working alongside Pricing teams. Ability to integrate AI-driven insights into your More ❯

or similar At least 3 years work experience in a data analytics or business intelligence role. Experience with Tableau, Power BI, or other data visualisation tools. Demonstrable SQL skills to query complex data sets for the data analysis. Demonstrable analytical and report development abilities Strong communication and presentation skills Ability More ❯

a team consisting of an Analyst Data Scientist and three Senior Research Assistants. Thought leadership on data science and AI capabilities Proficiency in data visualisation tools (e.g. Tableau, Power BI) and presenting data effectively. Desirable criteria Experience and knowledge of Cloudera Data Platform. Change management experience. An appreciation of the More ❯

to translate complex data into actionable insights. Technical Proficiency: Data Analysis Tools: Proficiency in Excel (advanced functions like pivot tables), SQL for querying databases. Visualization Tools: Experience with Tableau, Power BI, or Google Data Studio for creating dashboards. Marketing Analytics Tools: Familiarity with Google Analytics, HubSpot, Salesforce Marketing Cloud, or More ❯

related programming languages to support advanced data processing and analytics Preferred experience in data modeling for Power BI using DAX Preferred experience in data visualization and dashboard creation to support downstream business analysis Experience implementing Data Ops (CI/CD) structures and practices into regular development Expertise in Google Sheets More ❯

efficiency. Qualifications: Bachelor’s degree in Data Science, Statistics, Mathematics, or related field. Strong proficiency in data analysis tools such as Excel, SQL, and visualization tools like Power BI or Tableau. Good understanding of statistical methods and data modeling. Excellent problem-solving and communication skills. Attention to detail and the More ❯

skills. Attention to detail and ability to work cross-functionally. Preferred Qualifications Experience in the financial services industry. Knowledge of regulatory requirements. Advanced data visualization skills. Additional Information Join a hybrid role based in Manchester city centre, with at least two days per week in the office. We are part More ❯

Knowledge of data modeling, ETL, data warehousing. Skills in statistical analysis, machine learning, Python/R/Scala. Experience with SQL, NoSQL, and data visualization tools. Strong analytical and problem-solving skills. Experience with social media analytics and big data technologies. Knowledge of AWS ML services like SageMaker, Comprehend. Understanding More ❯