1 to 25 of 301 Visualisation Jobs in the UK excluding London

or online business context. Commercially minded, thinking about ways to increase revenue & profitability. Proficiency in data manipulation tools (Python, Pandas, Spark, SQL) and data visualization tools (Apache Superset, Tableau, Power BI, ggplot2) and MS Excel. Grasp of pricing strategies, market dynamics, and consumer behaviour in the online space is a more »

and is a multi-disciplinary team with the following skills and capabilities: optimization, machine learning, statistical modeling, exploratory data analysis, natural language processing, data visualization, network/graph modeling, ETL, data pipelines, data architecture, communication, project/product management and strategy. We work with data from a wide variety of more »

using statistical software (e.g. R and Python). The Data Scientist will use their technical skills to implement statistical analysis, develop simulation models, data visualisation, and automated reporting solutions. Previous experience of the NHS is desirable but not essential. However, you will be highly numerate, an excellent problem solver, a more »

knowledge in a narrower range of specialisms. Apply standards and best practices to present, communicate, and disseminate data appropriately, using a range of data visualisation tools and techniques. Review, advise, and support more junior members of the team to establish processes, standards, and templates for all internal and external work. more »

tech and methods. Desirable; Previously worked in an agile working environment, with a focus on iterative and collaborative project delivery. Have worked with data visualisation tools e.g. Tableau. Experience in model monitoring. (MLOPS experience would be desirable.) Have gained a master's or Ph.D. in a quantitative field such as more »

data. Ability to analyse benchmarking data to identify variations in activity and quality of health and care services. Experience using programming languages and data visualisation tools such as Microsoft Power BI/SQL/R or similar or willingness to acquire such skills rapidly. Ability to automate complex reporting to more »

/Analytics, Databricks, Synapse, Purview, Fabric etc.) Desirable Knowledge of cloud technologies and concepts Knowledge of NHS Information requirements, datasets, data dictionary. Knowledge of visualisation & dashboard design best practices. Knowledge of data architecture in a healthcare environment. An excellent knowledge of the principles of data warehousing design and architecture. Understanding more »

skills Experience with Big Data technologies such as Hadoop, Spark, and Kafka Familiarity with cloud platforms (AWS, Azure, Google Cloud) Working knowledge of data visualisation tools (PowerBI, Tableau, Qlik Sense) Additional skills: Client-facing and communication skills Leadership and mentoring capabilities Understanding of cloud fundamentals (IaaS/PaaS/SaaS more »

/CIMA/ACA - 5 years of experience in data analytics within finance domain - Exceptional financial modeling, Excel, and analytical skills. - Extensive Knowledge of Visualization Tools: Power BI, Alteryx, Tableau - Excellent Coding ability including SQL, DAX and working knowledge of Azure Pipelines - Working knowledge of EPM/ERP technologies - Highly more »

Engage with both technical and non-technical stakeholders. Lead discussions within multidisciplinary teams, manage divergent perspectives, and represent the team externally. Data Modeling and Visualization: Use appropriate mediums to visualize data, telling compelling stories relevant to business goals. Create data models that facilitate a deeper understanding of complex data structures. more »

a must. Masters in a relevant field will be an added advantage.Preferred Qualifications:Knowledge of PySpark, Hive & other big data tools & techniques.Experience with data visualization tools, such as Tableau, Power BI, or similar tools, to efficiently communicate complex analyses and insights.QualificationsWe back our colleagues and their loved ones with benefits more »

and experience Knowledge of IFS ERP including implementation Good knowledge of database design concepts - relational, in-memory, data cubes and common data query and visualization tools - SQL, Microsoft Power BI or similar Tableau, Qlikview Exposure to data migration and data/systems integration techniques and tools Experience defining requirements and more »

Google Cloud products (Vertex, BigQuery, GCS, Cloud Composer, Dataflow etc.) or similar products from other cloud platforms Appreciation of data management, analytics, science, and visualisation workflows and data needs Appreciation of the modern cloud data stack, headless BI, analytics engineering, data meshes and lake-houses What's in it for more »

and processes Experience with Azure, Amazon or Google cloud architecture Knowledge of the data landscape in the UK and Ireland Data processing, analysis and visualization skills Strong problem-solving skills in relation to data science projects Proficiency in Python, R, C#, JavaScript or another programming language Proficiency with Git or more »

skills Experience with Big Data technologies such as Hadoop, Spark, and Kafka Familiarity with cloud platforms (AWS, Azure, Google Cloud) Working knowledge of data visualisation tools (PowerBI, Tableau, Qlik Sense) Additional Skills: Client-facing and communication skills Leadership and mentoring capabilities Understanding of cloud fundamentals (IaaS/PaaS/SaaS more »

etc. Strong understanding of ETL processes, data modeling, and data warehousing principles. Experience with programming languages such as SQL and Python. Familiarity with data visualization tools such as Power BI, Tableau, or Looker. Excellent communication skills and the ability to effectively collaborate with diverse teams and stakeholders. Benefits: Opportunity to more »

degree or equivalent in a quantitative field (e.g., mathematics, statistics, data science, business intelligence). Proficient in SQL, DAX, and advanced Excel. Skilled in visualization tools such as Cognos, SSRS, Power BI, or Business Objects. Statistical solid and problem-solving acumen, showcasing deductive and inquisitive thinking. Business acumen, particularly in more »

Transform, Load (ETL) processes and dataflows. Continuous Learner: Demonstrate a strong desire to learn new technologies and find innovative solutions to complex challenges. Data Visualization (Bonus): Experience using business intelligence tools like Looker, Power BI, or Tableau. Marketing Analytics (Bonus): Familiarity with digital marketing and GA4 data analysis is a more »

optimization techniques. Power BI Dataflows: Proficiency in creating and managing Power BI Dataflows to ingest, transform, and prepare data for analysis and reporting. Data Visualisation: Ability to design visually appealing reports and dashboards, utilizing effective data visualizations to convey insights to stakeholders. SQL Proficiency: Solid understanding of SQL for data more »

the below): * AI/Machine learning techniques - such as logistic regression, clustering, data modelling * Statistic modelling * Coding - R, Python, SQL * Creating data architectures * Data visualisation experience - Tableau, PBI * Working with big data technologiesMust HavesTo be successful, it is essential you have the following: * 3+ years' experience as a Data Scientist more »

the creation, development and maintenance of data repositories, warehouses, data lakes, cloud platforms (such as MS Azure) and modern reporting and business intelligence and visualisation platforms (such as MS Power BI) Significant experience with building and exploiting data models, statistical or predictive analytics, machine learning or artificial intelligence. Experience embedding more »

private sectors and help define technical solutions to solve them Create and implement data architecture design and data modelling coupled with focus on data visualisation, AI (Artificial Intelligence) and Machine Learning (ML) Shape and define data strategies and understand specifications of data integration and data migration approaches Work within a more »

private sectors and help define technical solutions to solve them Create and implement data architecture design and data modelling coupled with focus on data visualisation, AI (Artificial Intelligence) and Machine Learning (ML) Shape and define data strategies and understand specifications of data integration and data migration approaches Work within a more »

private sectors and help define technical solutions to solve them Create and implement data architecture design and data modelling coupled with focus on data visualisation, AI (Artificial Intelligence) and Machine Learning (ML) Shape and define data strategies and understand specifications of data integration and data migration approaches Work within a more »

private sectors and help define technical solutions to solve them Create and implement data architecture design and data modelling coupled with focus on data visualisation, AI (Artificial Intelligence) and Machine Learning (ML) Shape and define data strategies and understand specifications of data integration and data migration approaches Work within a more »