501 to 525 of 5,118 Visualisation Jobs in the UK

technical and non-technical audiences Desirable Skills Experience with Azure Machine Learning, Azure Data Factory, or other Azure data services Knowledge of MLOps practices and tools Experience with data visualization tools (Power BI, Tableau, etc.) Understanding of statistical analysis and experimental design Previous experience in a startup or scale-up environment Experience building data science capabilities from scratch What We More ❯

skill development What Makes a Great Grayce Analyst: 2:1 Undergraduate Degree in a STEM field, MSc preferred Experience with tools like Excel, R, SQL, or Python Knowledge of visualization tools like Tableau or Power BI is advantageous Strong analytical and creative problem-solving skills Effective communication, stakeholder management, and organizational skills Why work for us? Competitive starting salary of More ❯

and innovative approaches to digital marketing strategies. Desired skills and experience: Expertise in digital analytics and platforms, notably Adobe, with ETL capabilities (SQL, Python, Excel). Proficiency in data visualization tools, preferably PowerBI. Experience gathering business requirements and translating them into actionable insights for marketing and sales teams. Strong problem-solving skills and creative solutions for challenges like prospect prioritization More ❯

skills in programming and machine learning are highly beneficial). Demonstrable coding skills in e.g. Python, SQL, R. Experience of Geospatial mapping software e.g. ArcGIS/Mapping Tools. Data visualisation e.g. Tableau or PowerBI. How we support our colleagues In addition to our comprehensive benefits package, we encourage a diverse workforce. Plus, our agile, inclusive environment allows you to manage More ❯

Are you a detail-oriented Data Analyst with expertise in Python, SQL, and data visualization tools? A client of Sagacity is looking for a skilled professional to join their team and help transform raw data into actionable insights. This remote role requires proficiency in analytical programming languages such as Python and SQL, along with a strong understanding of relational databases. More ❯

and skills are directly applied to the apprentice’s role and maximises the time used as part of off-the-job training. Microsoft Office Specialist: Excel Associate. Data and Visualisation using SAS Data Analysis and Statistics SQL and Data Modelling Exploring Data Science using Python and R Data Challenge workshop Online development sessions (Optional). An apprenticeship has to be More ❯

subject with skills in data manipulation and analysis. Programming experience in data-related languages including Python. Experience with data preparation and data quality. Highly desired skills and experience: Data Visualization tools such as Microsoft PowerBI. Microsoft Office applications. Microsoft Azure environment. Personal attributes: A passion for data and creating insights to enhance team success. Strong analytical and problem-solving skills. More ❯

. 5+ years of experience in data analytics, preferably within a digital agency or similar environment. Proficiency with analytics tools such as Google Analytics, Adobe Analytics, Contentsquare and data visualisation platforms (e.g., Tableau, Power BI). Strong statistical analysis skills and experience with data processing tools (e.g., SQL, Python, R). Excellent communication and presentation skills, with the ability to More ❯

fast-paced or service-driven environment. Advanced SQL and Excel skills for data manipulation and modeling. Proficiency in Python for analysis, automation, and predictive modeling. Deep experience with data visualization platforms such as Power BI or Tableau. Familiarity with CRM systems (e.g. Salesforce) and customer data analysis. Strong communication skills, with the ability to present to senior stakeholders and influence More ❯

jobs in London Area, United Kingdom . London, England, United Kingdom 5 days ago London, England, United Kingdom 5 days ago London, England, United Kingdom 1 month ago Data Visualisation Engineer - £60k base + bonus London, England, United Kingdom 3 days ago London, England, United Kingdom 6 days ago Greater London, England, United Kingdom 1 week ago City Of London More ❯

Machine Learning and statistical modelling techniques Strong programming skills in R and/or Python Experience applying advanced analytics and Machine Learning to solve business problems Experience with data visualization software/libraries (Tableau, PowerBI) Comfort working both on a team and autonomously Strong written and verbal communication skills, ability to simply and concisely explain complex analytical topics Entrepreneurial spirit More ❯

A drive to solve problems using data. What would be a bonus: Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc). Familiarity with Git. Data visualization tool (Tableau, Looker, PowerBI or equivalent). DBT. 2-5 years experience of consumer credit risk or collections in the financial services, utilities or telecommunications industries. Why else you'll More ❯

/UX and the ability to advocate on behalf of different teams or user groups, working with project managers and system developers. High proficiency in building dashboards with data visualisation software, experience with Tableau An understanding of working across multiple data universes and writing queries using SQL Storytelling through data, business planning and forecasting. Mandatory Requirements: Successful consultants will be More ❯

strong experience in complex data analysis and modelling roles. Strong proficiency in analytical tools such as Python, R, and Excel for working with large datasets. Skilled in using data visualisation tools like Power BI or Tableau. Excellent communication skills, with the ability to present technical insights clearly to a range of stakeholders. Experience working with the Irish SEM, European power More ❯

or other orchestration tools Azure Data Lake storage and Delta Lake Unity Catalog, Purview, or other Data Governance tools IAC tools like Terraform, Azure DevOps Preferred but not essential: Visualization Tools – Power BI, Tableau Streaming Data – Azure Stream Analytics, Event Hubs, IoT Hubs Distributed compute engines Azure Functions – Python, C# Skills and Approaches: Requirements gathering and client consulting Agile project More ❯

and meet challenging deadlines and targets • Ability to communicate clearly with end users, development managers and other stakeholders • Proficient in database query languages such as SQL • Proficient in Data Visualization with tools such as Tableau, PowerBI • Proficient in prescriptive analytics using tools such as Alteryx • Experience with using multi-dimensional data modeling/data warehousing for data analytics and reporting More ❯

extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, Java, C++, SQL and R. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages. Working knowledge of the financial industry, markets and products More ❯

skills. Excellent communication interpersonal and presentation skills. Desired Skills: Experience with containerization technologies (e.g. Docker Kubernetes). Experience with data streaming platforms (e.g. Kafka Kinesis). Experience with data visualization and business intelligence tools. Experience with Agile development methodologies. AWS Certifications (e.g. AWS Certified Data Analytics - Specialty AWS Certified Solutions Architect) About Capgemini Capgemini is a global business and technology More ❯

Communicate complex technical concepts simply and clearly to both technical and non-technical stakeholders What We’re Looking For 4+ years’ experience across data engineering, data science, and data visualisation Proficiency in Python, SQL, R, and familiarity with relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure More ❯

issues Willingness to learn based on feedback Able to help others develop Experience in using Microsoft BI Stack (SSRS, SSIS, or SSAS) Commercial experience of Power BI for data visualisation Involvement in architectural decisions for data solutions An interest in Data Science and Data Modelling What about technical skills? People’s skills vary and that’s great because the role More ❯

IT development processes and delivery lifecycles; development methodology; release strategy and configuration management; development tools, and applications across full project lifecycles Experience with Power BI or a similar data visualisation tool is desirable Why Just? We are committed to building a more sustainable business and have publicly committed to reduce our scope 3 emissions to Net Zero by 2050 and More ❯

years of experience using data and analysis to drive business outcomes. • Strong knowledge of SQL. • Experience with a scripting language is a plus (Python or R). • Proficiency with Visualization BI tools (Looker and Tableau). • Advanced Excel skills. • Experience in advertising technology is a plus. • Skilled in synthesizing detailed analysis into clear narratives, facilitating strategic discussions across technical and More ❯

and data migration design and implementation Master data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data science, data visualisation, AI, ML, Documentation of solutions (e.g. data modelling, configuration, and setup etc.) including HLD and LLD, Working within a project management/agile delivery methodology, Managing Team Members on a More ❯

or Salesforce is preferred * Familiarity with tools like Dataiku or Alteryx for data preparation and analysis * Knowledge using tools like Tableau, Power BI, or Excel for data analysis and visualization * Working with JIRA, Smartsheet or other issue and project tracking software is a plus Interpersonal Skills and Characteristics * Comfortable working in a global, fast-paced, dynamic environment; able to manage More ❯

driving growth in traffic and ROI, preferably in a fast-growing large catalogue. Analytical Expertise: Strong proficiency in web analytics tools (e.g., Google Analytics (GA4), Adobe Analytics) and data visualization tools (e.g., Tableau, Power BI). Marketing Knowledge: In-depth understanding of digital marketing channels, including PPC, SEO, social media, email campaigns, and conversion rate optimization. Technical Proficiency: Familiarity with More ❯