26 to 50 of 659 Visualisation Jobs in the UK

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 »

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 »

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 »

business requirements2+ years managing an analytics engineering team using a scrum/agile methodologyExperience working with commercial data warehouses (Redshift), ETL tools (Dbt), data visualization (Python notebook, Thoughtspot, Looker, Tableau, Hex), and Data Dictionary tools (Atlan)Demonstrated experience leading 2 or more multi-department analytics projects from inception to operationalizationDemonstrated 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 »

Azure, synapse, Databricks, SQL, Python and DataOps. This is a fantastic opportunity for a Data Engineer to gain exposure to different business areas from Visualisation, Machine Learning/AI and governance. Alongside this my client is going to be going through a cloud migration to Azure. Responsibilities : Collaborate with cross 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 »

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 »

sensors, smart metres, and weather stations. Business Intelligence: Collaborate with cross-functional teams to translate data findings into business strategies and decision-making processes. Visualisation & Reporting: Create clear, concise, and visually compelling reports and dashboards to communicate insights to stakeholders at all levels of the organisation. Research & Innovation: Stay abreast 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 »

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 »

with a strong focus on marketing and sales. Proficiency in SQL and data analysis tools such as Python, R, or similar. Experience with data visualisation tools (e.g., Tableau, Bright Analytics) and dashboard development. Experience with SalesForce.com reporting and dashboarding modules. Strong attention to detail and a commitment to data accuracy. 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 »

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 »

of cost-saving opportunities and promote a culture of financial stewardship Data Analysis Analyse data comprehensively using Excel,Power BI(desirable) pivot tables, data visualisation tools, and dashboard creation to interpret complex datasets Evaluate business opportunities, market trends, and operational efficiencies through commercial analysis, translating data into strategic insights and more »

gains for all data consumers. As a collaborative force, you will seamlessly integrate across central, regional, and local teams, refining our client's data visualisation strategy and elevating our collective impact. At the heart of it all lies their overarching vision: to cultivate a generation of resilient, creative global citizens more »