651 to 675 of 4,455 Visualisation Jobs in the UK

experience with weather modelling Prior knowledge or experience in the power markets or energy sector. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices. Familiarity with data visualization tools (e.g., Tableau, Power BI). COMPENSATION & BENEFITS: Competitive salary + bonus. Comprehensive benefits package including health insurance, pension plan. Hybrid working arrangement (minimum 3 days in the London office More ❯

degree in Data Science, Statistics, Computer Science, Maths, or a related field. Familiarity with data analysis coding languages like Python, R, or SQL. A keen interest in learning visualisation tools such as Tableau or PowerBI. Strong communication skills, with the ability to influence and build relationships. Analytical thinking anda knack for numbers. A full UK driving licence (some travel between More ❯

data processing and analysis tools and technologies like TensorFlow, Keras, Scikit-learn. Strong understanding of large language models (LLMs) and machine learning (ML) algorithms and techniques. Familiarity with data visualization tools such as Power BI. Solid understanding of statistical analysis and hypothesis testing. Ability to work with structured and unstructured data sources. Knowledge of cloud computing platforms (AWS, Azure) and More ❯

mission is to build a best-in-class Customer Experience for our selection. BASIC QUALIFICATIONS - Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to More ❯

potential hazards and by adopting continuous improvement and human factors principles with their work. Qualifications/Requirements Proficiency in various programming languages (e.g., Python, R), statistical software, and data visualization tools (e.g., Power BI) Advanced knowledge of MS EXCEL Ability to identify and solve complex problems related to both data and systems Familiarity with how businesses work and how IT More ❯

relevant programming languages. • Proficiency in working with large datasets, data wrangling, and data preprocessing. • Experience in data science, statistical modelling, and data analytics techniques. • Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau). • Ability to work independently and lead projects from inception to deployment. • Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS More ❯

would be highly desired but is not required The right candidate will likely only have some of the following technical skills & experience (listed is our current software solution): ExData visualisation tools (PowerBI) and manipulating data (Python/Excel/VBA/SQL/Databricks/Spark), Analytical models (Python: SciKitLearn, Imblearn, Prophet, XGBoost, ExtraTrees, Kmeans Clustering), Web Scraping (Python: Selenium More ❯

would be highly desired but is not required The right candidate will likely only have some of the following technical skills & experience (listed is our current software solution): ExData visualisation tools (PowerBI) and manipulating data (Python/Excel/VBA/SQL/Databricks/Spark), Analytical models (Python: SciKitLearn, Imblearn, Prophet, XGBoost, ExtraTrees, Kmeans Clustering), Web Scraping (Python: Selenium More ❯

data processing and analysis tools and technologies like TensorFlow, Keras, Scikit-learn. Strong understanding of large language models (LLMs) and machine learning (ML) algorithms and techniques. Familiarity with data visualization tools such as Power BI. Solid understanding of statistical analysis and hypothesis testing. Ability to work with structured and unstructured data sources. Knowledge of cloud computing platforms (AWS, Azure) and More ❯

understanding of data governance and modeling best practices with hands-on implementation experience. Tools : Proficient with data warehousing/modeling tools like Datasphere (preferred) or Google Big Query, and visualization tools such as Power BI or SAP Analytics Cloud. Project Leadership : Experience leading BI projects and Data Warehouse implementations in large IT environments with multiple platforms and data sources. Supply More ❯

of complex analysis clearly Ability to navigate data sets of varying complexity/ambiguity and conduct analysis to derive clear insights and actionable results Strong communication skills Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc. Strong SQL skills required Experience in Python Tech Stack: SQL, Python, R, Tableau, AWS Athena + More! Ideally a creative mind More ❯

re proficient in SQL and/or Python, comfortable manipulating large structured and unstructured datasets, and experienced in ETL processes and data transformation. Furthermore, you are experienced in data visualization tools like Power BI which help translate data into actionable insights, particularly within the Retail or E-Commerce industry, ideally with web tracking exposure. Lastly, you can communicate complex concepts More ❯

to play & know the games we make Demonstratable critical thinker who can make & communicate decisions clearly Familiarity with cloud computing platforms like AWS, Azure or GCP Experience with data visualization tools (e.g. Looker, Power BI) with a strong ability to create visually compelling & informative dashboards & reports Strong understanding of data engineering & data warehousing concepts Excellent delivery management skills to build More ❯

science and machine learning Experience with one or more generative AI and LLM frameworks and tools. Experience with machine learning concepts and techniques and Deep Learning. Experience with data visualisation and storytelling tools and techniques. Understanding of ethical considerations and compliance requirements in AI, including data privacy, bias mitigation, and responsible AI practices. Experience with integrating AI solutions into existing More ❯

you'll have: Experience managing, or at least coaching, more junior team members. Strong proficiency in data analysis tools and techniques, including knowledge & experience of data warehousing and data visualisation tools. Strategic thinking and the ability to gather, understand & interpret business requirements, aligning insights initiatives with overall business objectives. Excellent communication and interpersonal skills, with the ability to convey complex More ❯

effective in the way we use data, automation, and AI. Responsibilities: People Analytics Lead, coach and develop a high-performing team of People Analysts, building capability in storytelling, data visualisation, analytics and AI experimentation. Set the strategic direction for People Analytics, aligned with our business and talent priorities. Deliver actionable insights across key areas such as workforce planning, engagement, retention More ❯

successes and learnings, and report back on strategic growth metrics Tech and data-savvy with the ability to jump into Web Analytics platforms such as Google Analytics or Data Visualization Platforms (such as Power BI, Data Studio, Tableau, etc) or even Excel and communicate a story with sound data Have excellent organizational, communication, and project management skills Have proven experience More ❯

or business analyst or relevant experience in business analysis, data analysis, financial analysis, statistics, and research methods Strong technical capability in MS SQL and familiar with BI and data visualization tools, like - PowerBI, Tableau,Python Working knowledge in Treasury products is required, and knowledge of lending, portfolio management, and cooperative reporting is a plus. A team player with the ability More ❯

started. The team is building the foundation of Kramp's self-service analytics platform in a Google Cloud Platform-based data warehouse (DWH), feeding different targets such as: Data visualization tools (e.g., Tableau); Kramp's Machine Learning platform. What to expect: The Data Office is an international, cross-functional team combining Business Intelligence, DevOps, FinOps, Data Science, and Software Development More ❯

and internal requests for information. Research and Analysis Identify important, timely research topics and appropriate data sources and references to illuminate research questions. Synthesize research to tell compelling data visualization/stories. Analyze large and complex datasets originating from multiple sources to provide meaningful information to various stakeholders and inform strategic decision-making. Write research reports that distill complex findings More ❯

and internal requests for information. Research and Analysis Identify important, timely research topics and appropriate data sources and references to illuminate research questions. Synthesize research to tell compelling data visualization/stories. Analyze large and complex datasets originating from multiple sources to provide meaningful information to various stakeholders and inform strategic decision-making. Write research reports that distill complex findings More ❯

inform high-level strategic decisions. • Partner with leadership teams to support operational cadence, strategic reviews, and key decision-making forums. • Ensure alignment between proposed solutions and organizational goals. Data Visualization and Insight Delivery: • Develop dashboards, reports, and visual aids to support real-time decision-making. • Use tools such as Power BI and advanced Excel to translate complex datasets into accessible More ❯

in reality. What we're looking for 6+ years of experience as a data analyst or in a similar role. Excellent SQL skills and experience with BI/data visualisation tools. Excellent analytical and problem-solving skills, with a proven ability to derive insight and drive change from data. Effective communication skills – you can clearly explain technical results to both More ❯

informed decisions Understanding of Agile practices in a development environment Experience in data and analytics technologies such as Alteryx, Power BI or similar such as Tableau and other modern visualisation platforms Experience in coding and querying languages such as Python or R Strong grasp of statistical methods, hypothesis testing, regression and forecasting Experimental design and causal inference What Do We More ❯

to triage and troubleshoot issues in production for delivered items, ensuring timely resolution and minimal business impact (using tools such as ELK: Elastic Search, Kibana). Experience with data visualization tools (e.g., Grafana, Power BI, Tableau). Proficient in data analysis for various data formats (e.g., JSON, CSV, SQL). A strong understanding of the Commodities Trading landscape (both physical More ❯