1 to 25 of 468 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 »

Experience with data warehouse technologies and data integration processes. • Knowledge of ETL (Extract, Transform, Load) processes and data integration. • Experience in data modelling, data visualization, and report development. • Strong analytical and problem-solving skills, with the ability to translate complex data into meaningful insights and actionable recommendations. • Proficiency in PowerApps more »

Cypher Advantageous - Microsoft Azure cloud technologies e.g. Blob Storage, ADLS, Azure DevOps, Azure Logic Apps, Azure Functions Advantageous - Delta Lake storage layer Advantageous - Data visualisation tools e.g. PowerBI, Tableau, Thoughtspot, D3.js What can you expect from Mars? Work with over 130,000 diverse and talented Associates, all guided by the more »

years as a BI Data Analyst with a strong track record of designing and developing Power BI solutions and DAX. • Experience in data modelling, visualization and report development. • Experience of data warehouse technologies, data integration processes and database concepts. • Strong analytical and problem-solving skills, with the ability to translate more »

Experience with analytical or database querying software such as SQL and Python along with cloud technology such as AWS and Snowflake Experience with data visualisation tools such as Tableau and PowerBI The ability to identify wider business impacts or opportunities across key outputs and processes. Ability to work unaided on 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 »

in a similar role. Strong programming skills in Python Experience with cloud-based analytics platforms such as AWS, GCP or Azure. Proficient in data visualization tools such as Tableau, Power BI, or QlikView. Public sector best practice ITIL or OGC toolkit Excellent analytical and problem-solving skills with the ability more »

junior data scientists. Technological Proficiency: Knowledge of Large Language Models. Microsoft Suite: Proficient in Power Apps, Power Automate, Dynamics 365, and Dataverse. Database and Visualisation: Skilled in database management and data visualisation. Project Management: Strong project management skills, capable of handling multiple projects simultaneously. Analytical Skills: Excellent problem-solving abilities 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 »

Strong experience on Azure cloud services like Azure, ADF, ADLS, Synapse Proficiency in querying languages such as SQL, Pyspark, Python and familiarity with data visualization tools (e.g. Power BI). Strong communication skills to gather the business requirements from stakeholder and propose best solution. Define and follow best practices for 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 »

Campaign Manager, Facebook Ads Manager, LinkedIn Ads Manager, and digital marketing data. Strong proficiency and experience with Excel, G-sheets, SQL and data visualization tools such as Qlik, Tableau, and Google Data Studio. Strong problem-solving and analytical skills to methodically structure problems and quantify potential solution sets. Experience with more »

of building effective and happy teams. Proficiency in data analysis tools and programming languages such as SQL, Python, R, or SAS. Experience with data visualization tools, particularly Power BI Outstanding stakeholder management skills Excellent prioritisation skills, including effective communication of priorities Experience in analysis and development within a BI environment 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 »

in a commercial or consulting environment. Proficiency in Python programming and experience developing ML or statistical models related to pricing. Strong familiarity with data visualization software (e.g., Tableau, PowerBI) and data management tools (e.g., SQL, Snowflake). Bonus Points for: Experience implementing Machine Learning models and familiarity with large language 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 »

the impact of marketing initiatives on customer success and future behavior. • Drive business analytics projects through all phases, including data quality, data analysis, data visualization, and presentation of results and deliverables. • Monitor usage metrics, understanding business-based explanations for large scale trends and patterns in customer lifecycle behavior. • Develop data 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 »

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 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 »

programming in Python or Ruby, utilizing AWS S3, MongoDB, PostgreSQL, AWS Redshift or similar database technologies; using Jupyter notebooks and one or more statistical visualization or graphing toolkits such as Excel, Qlik Sense or Tableau. Technical Blog Posts Read more about what our Engineers and Data Scientists do: https:/ more »