726 to 750 of 1,865 Visualisation Jobs in the UK

data sources to manage regulatory risks. Manage and support line reports in conducting high-quality analysis and presenting findings to stakeholders. Implement tools and techniques for data analysis and visualisation to enhance risk assessment processes. Assist with and lead change projects in data management and other initiatives. Champion the integration of advanced risk analysis and intelligence across the organisation. Support More ❯

priorities. A positive thinker with plenty of curiosity would be ideal for this role. Duties • Partner with core business areas to gain a deep understanding of their data, reporting, visualisation and analysis needs • Manage a portfolio of dashboards, visualisations and data sources, and the continuous improvement of these • Deliver robust and accurate data sets and visualisations within expected timescales • Structure More ❯

priorities. A positive thinker with plenty of curiosity would be ideal for this role. Duties • Partner with core business areas to gain a deep understanding of their data, reporting, visualisation and analysis needs • Manage a portfolio of dashboards, visualisations and data sources, and the continuous improvement of these • Deliver robust and accurate data sets and visualisations within expected timescales • Structure More ❯

priorities. A positive thinker with plenty of curiosity would be ideal for this role. Duties • Partner with core business areas to gain a deep understanding of their data, reporting, visualisation and analysis needs • Manage a portfolio of dashboards, visualisations and data sources, and the continuous improvement of these • Deliver robust and accurate data sets and visualisations within expected timescales • Structure More ❯

techniques with an ability to create both proactive and reactive analytical solutions to cover all aspects of the data function with a view on continuous improvement. • Excellent communication and visualization skills to present findings to diverse audiences • Proven experience with machine learning models, statistical analysis, and A/B testing • Strong interpersonal skills with experience engaging senior stakeholders • Natural problem More ❯

techniques with an ability to create both proactive and reactive analytical solutions to cover all aspects of the data function with a view on continuous improvement. • Excellent communication and visualization skills to present findings to diverse audiences • Proven experience with machine learning models, statistical analysis, and A/B testing • Strong interpersonal skills with experience engaging senior stakeholders • Natural problem More ❯

in PowerBI and/or other BI tools for data storytelling, anticipating business needs with dashboard flows and drilldowns Highly data literate with strong with advanced skills in data visualisation - advanced DAX/M & strong Excel skills essential, strong SQL & Python beneficial Strong experience in data product lifecycle management, including communication and ownership of release cycles Ownership and stewardship of More ❯

data product-led approaches Data modelling expertise (relational, dimensional) and familiarity with tools like Erwin , Sparx , Archi Experience with ETL/ELT , SQL/NoSQL , Python or Java, and visualisation/BI tools Knowledge of data governance , compliance, and security frameworks Comfortable operating in Agile environments (Scrum, Kanban, SAFe) Ideal Candidate: Experience in consulting-led engagements , including stakeholder management and More ❯

data product-led approaches Data modelling expertise (relational, dimensional) and familiarity with tools like Erwin , Sparx , Archi Experience with ETL/ELT , SQL/NoSQL , Python or Java, and visualisation/BI tools Knowledge of data governance , compliance, and security frameworks Comfortable operating in Agile environments (Scrum, Kanban, SAFe) Ideal Candidate: Experience in consulting-led engagements , including stakeholder management and More ❯

stand out: Experience working in an analytics role in the gambling industry. Experience with CRM data analysis and customer segmentation. Knowledge of TensorFlow/PyTorch. Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. Experience in design and evaluation of A/B tests. Familiarity with Bayesian statistics, especially for hypothesis testing. Experience More ❯

requirements, please do not hesitate to contact us on our email which is training@xma.co.uk , we will be happy to action your requests. Alternative job titles: Power BI Analyst, Visualisation Analyst, Data Analyst, Business Intelligence Analyst More ❯

any such requirements, please do not hesitate to contact us on our email which is , we will be happy to action your requests. Alternative job titles: Power BI Analyst, Visualisation Analyst, Data Analyst, Business Intelligence Analyst, Data Analyst More ❯

needed - Provide input on suggested business actions based on analytical findings. BASIC QUALIFICATIONS - 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to More ❯

optimizers or other analytics solutions. • Relevant experience in analyzing large data sets, data quality, and data warehousing to identify improvement opportunities • Relevant experience creating dashboards using Excel, SQL, and visualisation tools • Experience in Agile methodologies PREFERRED QUALIFICATIONS • Previous coding experience in R, Python, or VBA. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is More ❯

to evaluate new hypotheses against established baselines. Stay Updated: Keep abreast of the latest developments in cyber risk measurement, data science, and high-performance computing to enhance our capabilities. Visualisation: Bring models to life with innovative visualisations that improve model explainability and effectively communicate value to stakeholders. Qualifications: Experience: Minimum of 5 years in a related field such as risk More ❯

to evaluate new hypotheses against established baselines. Stay Updated: Keep abreast of the latest developments in cyber risk measurement, data science, and high-performance computing to enhance our capabilities. Visualisation: Bring models to life with innovative visualisations that improve model explainability and effectively communicate value to stakeholders. Qualifications: Experience: Minimum of 5 years in a related field such as risk More ❯

to evaluate new hypotheses against established baselines. Stay Updated: Keep abreast of the latest developments in cyber risk measurement, data science, and high-performance computing to enhance our capabilities. Visualisation: Bring models to life with innovative visualisations that improve model explainability and effectively communicate value to stakeholders. Qualifications: Experience: Minimum of 5 years in a related field such as risk More ❯

a reporting resource. What will you bring to the table? Significant experience in product/data analytics, ideally in tech or fast-moving environments. Strong technical skills: SQL (BigQuery), visualisation (Looker, Tableau), scripting is nice to have (e.g.Python). Deep experience working with product teams on KPI development, experimentation, and iterative product improvement. Strong business acumen and ability to tie More ❯

large data sets. - Fluency in SQL, and deep understanding of ETL is a must. PREFERRED QUALIFICATIONS - Effective spoken and written communication to senior audiences, including strong data presentation and visualization skills. - Experience and ability to effectively gather information from multiple data sources and deliver on ambiguous projects with incomplete or dirty data. - Knowledge and direct experience using business intelligence reporting More ❯

Bachelor's or Master's degree in Computer Science, Bioinformatics, Statistics, Mathematics, Pharmaceutical Sciences, or a related field Proven experience programming in R, including data manipulation, statistical modeling, and visualization (experience with packages such as ggplot2, dplyr, shiny, tidyr, etc.). Experience working in bioinformatics, pharmacometrics, or computational biology is a plus. Experience with relational databases (e.g., SQL) and knowledge More ❯

shape operational excellence across our product lifecycle Specifically, your focus will be to: Lead strategic cross-functional analytics projects end to end, from requirements definition, to data modeling, to visualization Translating business questions into success metrics to deliver data-driven insights using Jira, Snowflake, Tableau, Salesforce and Gainsight. Collaborate with team members and business partners to collect business requirements, define More ❯

variety of internal customers before producing data outputs to meet the needs of the business. Advanced expertise in Excel and experience or proven understanding of SQL, Alteryx and data visualisation tools including Tableau. Organised and can prioritise workloads, have strong attention to detail and can produce clear, replicable data reports. Capable of leading and running a focused area of work More ❯

platforms development, research science, software development and data engineering. ARTS develops scalable analytics applications and research modeling to optimize operation processes. The team standardizes and optimizes data sources and visualization efforts across geographies, builds up and maintains the online BI services and data mart. At ARTS, data engineers, data scientists, business intelligence engineers and product managers use rigorous quantitative approaches More ❯

the water network and designing and integrating new data-driven strategies into existing products to help add insight for our customers. The role will involve: Exploratory data analysis and visualisation Conceptualising solutions and presenting to internal stakeholders and external customers Integration of solutions into the product You'll work within the Data & Modelling team of 8-10 people but have More ❯

corrective and preventive actions for solving customer problems and prevention of defects. PREFERRED QUALIFICATIONS - Knowledge of analytics & statistical tools such as SAS, PowerBI, SQL & ETL DW concepts - Knowledge of visualization tools such as Tableau, Datazen, SSRS - Experience back office operations, escalation management and troubleshooting environments - Experience working in e-commerce/retail/supply chain/financial services business - Worked More ❯