301 to 325 of 4,668 Visualisation Jobs in England

Experience & Knowledge Experience in Microsoft Power Platform, particularly Power Apps, Power Automate and Dataverse. Experience in using cloud computing services such as AWS, GCP or Azure. Experience in data visualisation tools such as Looker, Tableau or Qlik. Experience in defining and documenting business requirements for the procurement of data and tooling. Desirable but not essential: Previous experience of working in More ❯

LOOKING FOR Proven experience in a data analytics function working with large amounts of data and/or big data. Advanced Excel and SQL skills required. Experience with Data visualisation tools (preferably Tableau) and a history of developing interactive and engaging dashboards that allow users to self-serve business insights. Intermediate Knowledge of Python or R. You have an understanding More ❯

improvement, or a related operational role. Highly Proficient in Data Analysis including significant experience and comfort with Python and SQL or other related data analysis skills Proficient in Data Visualization tools, including Tableau and Power BI Highly Proficient in the Microsoft Suite, including Excel, PowerPoint, Teams, and others Additional Qualifications (job Skills, Abilities, Knowledge) Understanding of traditional manufacturing metrics preferred More ❯

and management Track record of managing large-scale data and analytics platforms and leading cross-functional teams Robust knowledge of data management practices, including data warehousing, ETL and data visualisation tools (e.g., Power BI, Tableau, Qlik) Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data management solutions Understanding of data governance principles, including security, privacy and regulatory compliance More ❯

and management Track record of managing large-scale data and analytics platforms and leading cross-functional teams Robust knowledge of data management practices, including data warehousing, ETL and data visualisation tools (e.g., Power BI, Tableau, Qlik) Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data management solutions Understanding of data governance principles, including security, privacy and regulatory compliance More ❯

with Data Science and AI tools and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Knowledge of machine learning algorithms, statistical modelling, and AI-driven analytics. Data analysis, management, and visualisation expertise. Proactively manages conflicts within their workstack, clearly communicating any delays and managing expectations effectively. If you are excited about this role but your experience does not align perfectly with More ❯

technologies of least one cloud platform (AWS, Azure, GCP) Experience working with cloud platforms and in particular architecting with native cloud resources relevant to data problems Knowledge of data visualisation tools such as Tableau or Power BI Interest in building Machine learning and Data science applications Ability to use wide variety of open-source technologies Knowledge and experience using at More ❯

Hands-on experience with SQL and cloud data platforms (e.g., Snowflake, Azure, AWS Redshift, GCP BigQuery). Experience with BI/analytics tools (e.g., Power BI, Tableau) and data visualization best practices. Strong knowledge of data governance, data privacy, and compliance frameworks (e.g., GDPR, ISO 27001). Excellent communication and stakeholder management skills; able to translate complex data concepts into More ❯

then creating, developing and delivering solutions to provide them with actionable insight whilst collaborating with cross functional teams including data engineers, analysts and data scientists. Implementing solutions following data visualization principles and best practices. Telling stories with data and conveying technical concepts to stakeholders. Seeking opportunities to work collaboratively across boundaries (e.g. with different teams, business areas, cultures, etc.). More ❯

collection processes. Undertake preprocessing of structured and unstructured data. Assist with data labeling and tagging. Analyze large amounts of information to discover trends and patterns. Present information using data visualization techniques. Propose solutions and strategies to business challenges. Collaborate with engineering and product development teams. Perform feature engineering for AI applications. What Skills Are Required: BS/MS/PhD More ❯

Experience with pricing platform development or implementation Knowledge of machine learning techniques and their application to insurance pricing Familiarity with catastrophe modelling software (e.g., RMS, AIR) Experience with data visualisation tools (e.g., Tableau, Power BI) Experience with cloud platforms (AWS, Azure, GCP) What we offer Opportunity to architect and build cutting-edge pricing capabilities Clear progression path to becoming a More ❯

are looking for a data-driven professional with proven experience in developing automated dashboards and reports using Power BI. The ideal candidate will have a strong background in data visualisation, with the ability to tell compelling stories through data. While experience with other Microsoft Power Platform tools such as Power Automate and Power Apps is desirable, it is not essential. More ❯

technology and market trends Eligibility Criteria You'll need to be able to demonstrate the following: Experience and Skills Strong technical skills including SQL, Python/R, and data visualisation tools. We are open to exploring and incorporating other relevant tools and technologies as needed Excellent communication skills with the ability to explain complex analyses to non-technical audiences An More ❯

Experience with pricing platform development or implementation Knowledge of machine learning techniques and their application to insurance pricing Familiarity with catastrophe modelling software (e.g., RMS, AIR) Experience with data visualisation tools (e.g., Tableau, Power BI) Experience with cloud platforms (AWS, Azure, GCP) What we offer Opportunity to architect and build cutting-edge pricing capabilities Clear progression path to becoming a More ❯

teams in ad tech, programmatic advertising, or marketplace platforms. Strong understanding of supply-side dynamics in the digital advertising ecosystem. Expertise in data modeling, ETL pipelines, statistical analysis, and visualization tools (e.g., Tableau, Power BI). Hands-on experience with SQL, Python, R, or similar languages for data analysis. Familiarity with cloud platforms (e.g., AWS, Google Cloud) and big data More ❯

stakeholders within the Logistics function EXPERIENCE Essential Experience working in a Data Analytics role, preferably within Logistics, Warehousing or Fleet Management Demonstrated experience working with database querying and data visualisation tools (e.g. Power BI, Visio, 365) Desirable Experience with Inventory Management systems, including SAP and 365 Experience working with Fleet management software, telematics, incident databases Experience working within the Telecommunications More ❯

with technical consultants, architects and customers Technical Problem Solving: Assist customers in resolving technical challenges, working with SQL, APIs, and Python and support related to data ingestion, transformation, and visualisation Develop and optimise data models, ETL processes, Workflows and dashboards within the platform Provide best practices for analytics pipelines, integration strategies, performance optimisation and data governance and AI readiness Leverage More ❯

understanding business process and using data and metrics to draw business insights - Proficiency in SQL, ETL management, Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualisation tools such as Tableau experience PREFERRED QUALIFICATIONS - MBA or Master's degree in Computer Science, Engineering, Statistics, Mathematics or related field - Extensive experience in a data engineer or BIE role More ❯

platforms Hands-on experience with SQL and cloud data platforms (e.g., Snowflake, Azure, AWS Redshift, GCP BigQuery) Experience with BI/analytics tools (e.g., Power BI, Tableau) and data visualization best practices Strong knowledge of data governance, data privacy, and compliance frameworks (e.g., GDPR, ISO 27001) Excellent communication and stakeholder management skills; able to translate complex data concepts into business More ❯

Experience with SQL essential (any variation) ⦁ Experience with one or more scripting language (, R) to extract, manipulate and summarise data from large databases ⦁ Experience with business intelligence/data visualisation tools (such as Tableau, Thoughtspot, PowerBI) ⦁ Delivery mind-set, particularly when executing under challenging circumstances ⦁ Experience of working in cross functional teams and projects ⦁ Excellent oral and written communication skills More ❯

pressure and meet deadlines. Added Bonus If You Have Experience in payment services. Experience working in the financial services industry. Knowledge of NICE WFM system Knowledge of additional data visualization tools (e.g., Tableau, Qlik). Experience in designing and maintaining Power BI dashboards Familiarity with programming languages such as R or Python for data analysis. Worldpay Perks - What We'll More ❯

Data analytics certifications (e.g., Tableau, Power BI, SQL). Technical Skills: Proficiency in ITAM/ITLM tools (e.g., ServiceNow ITAM, Flexera, Snow Software). Advanced knowledge of reporting and visualization tools (e.g., Tableau, Power BI, Excel). Strong skills in SQL and database management for querying and analysis. Experience with predictive analytics and lifecycle modelling is a plus. Soft Skills More ❯

insurance Advanced SQL skills for querying complex databases and joining disparate data sources Expertise in data manipulation and analysis using Python, R, or similar analytical tools Experience with data visualization tools (e.g., Tableau, Power BI, Looker) Experience with dashboard creation for operational metrics tracking Strong communication and analytical skills Capable of working with remote teams Bonus Skills Actuarial qualification Experience More ❯

sometimes ambiguous work environment. Proven experience in data science, advanced analytics, or data engineering, with a track record of delivering measurable outcomes. Proficiency in Databricks, Azure, SQL , and data visualisation using open source libraries. Excellent communication skills — able to simplify technical concepts for varied audiences. Strong problem-solving skills and a focus on value creation over analysis for its own More ❯

About You: Experience in enterprise problem management, application support management, Site Reliability Engineering, or related field preferably at an enterprise level. Experience with case management tools (e.g., ServiceNow), data visualization tools (e.g., Power BI), cloud services (e.g., AWS, Azure), and/or DevOps tools (e.g., DataDog) - preferably a combination. Strong communication and collaboration skills. Strong analytical and problem-solving skills. More ❯