101 to 125 of 694 Visualisation Jobs in London

and data manipulation skills , with experience working on large, complex datasets. Familiarity with cloud data platforms such as AWS, Azure, or Redshift. A creative, insight-driven approach to data visualisation , using Grafana, Power BI, or similar tools. Confidence translating technical analysis into clear recommendations for non-technical teams. More ❯

and data manipulation skills , with experience working on large, complex datasets. Familiarity with cloud data platforms such as AWS, Azure, or Redshift. A creative, insight-driven approach to data visualisation , using Grafana, Power BI, or similar tools. Confidence translating technical analysis into clear recommendations for non-technical teams. More ❯

findings effectively to non-technical audiences. The Successful Applicant A successful Data and Insights Analyst should have: Experience working with large datasets and delivering data insights. Proficiency in data visualisation tools and techniques (Power BI/MS Excel) Strong analytical and problem-solving skills. Knowledge of public sector operations is an advantage. Ability to communicate complex data in an understandable More ❯

Python and SQL for data analysis, manipulation, and basic modelling. Understanding of machine learning: Exposure to predictive modelling techniques, particularly in Time Series Forecasting, NLP, or Recommendation Systems. Data visualisation: Familiarity with Tableau, Power BI, or similar tools. Strong analytical and communication skills: Able to interpret complex data and share insights clearly with both technical and commercial teams. 🌟 It’s More ❯

Strong communication skills, including presentation and storytelling. Knowledge of investment, valuation, and growth principles. Advanced Python and SQL skills. Experience with machine learning and large datasets. Skills in data visualization and statistical modeling. Familiarity with AWS and Git. Company Information The Carlyle Group (NASDAQ: CG) manages $453 billion in assets, with a diverse global presence and a commitment to inclusion More ❯

paced, evolving environment. Professional presence with strong verbal and written communication skills. Prior exposure to Collibra or similar data governance tools is highly advantageous. Desirable Skills Knowledge of data visualisation tools such as Power BI , Tableau , or Qlik . Exposure to SQL, Python, R, or other data analysis/engineering tools. Awareness of data-related compliance trends and emerging regulatory More ❯

paced, evolving environment. Professional presence with strong verbal and written communication skills. Prior exposure to Collibra or similar data governance tools is highly advantageous. Desirable Skills Knowledge of data visualisation tools such as Power BI , Tableau , or Qlik . Exposure to SQL, Python, R, or other data analysis/engineering tools. Awareness of data-related compliance trends and emerging regulatory More ❯

and written communication skills. Prior exposure to Collibra or similar data governance tools is highly advantageous. Desirable Skills Experience supporting ECB onboarding and regulatory change initiatives. Knowledge of data visualisation tools such as Power BI, Tableau, or Qlik. Exposure to SQL, Python, R, or other data analysis/engineering tools. Awareness of data-related compliance trends and emerging regulatory frameworks. More ❯

Description Lead Power BI Developer - London This is a great opportunity to work in a purpose led financial organisation with a global development focus, where your skills in data visualisation and storytelling will help drive insight and decision making at all levels. Key Responsibilities Design and develop reports, dashboards, and KPI scorecards using Power BI Desktop Develop across the Power More ❯

Transformation team, and People Analytics Data Engineer to ensure data architecture aligns with dashboard requirements and business needs. Support the migration, and maintenance of People Analytics dashboards across multiple visualisation platforms including Tableau, Power BI, and SAP Analytics Cloud (SAC). Help establish and maintain data quality standards, validation procedures, and governance protocols across people-related datasets. Lead UAT processes More ❯

tools and dashboards to enable stakeholders to access critical insights independently BASIC QUALIFICATIONS - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - 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 ❯

to support growth, customer experience, and paid media Build MMM and bespoke models in response to client needs Ensure outputs are practical, explainable and drive business decisions Reporting & Data Visualisation: Define reporting strategies for stakeholders – who needs what, when, and why Design high-impact BI dashboards that bring clarity and insight Deliver recommendations that are both data-rich and action More ❯

to support growth, customer experience, and paid media Build MMM and bespoke models in response to client needs Ensure outputs are practical, explainable and drive business decisions Reporting & Data Visualisation: Define reporting strategies for stakeholders – who needs what, when, and why Design high-impact BI dashboards that bring clarity and insight Deliver recommendations that are both data-rich and action More ❯

Tableau (data manipulation, macros, charts and pivot tables) experience - Experience defining requirements and using data and metrics to draw business insights - Experience with SQL or ETL - Knowledge of data visualization tools such as Quick Sight, Tableau, Power BI or other BI packages - 1+ years of tax, finance or a related analytical field experience PREFERRED QUALIFICATIONS - Experience in Amazon Redshift and More ❯

science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large-scale data processing and database technologies such as More ❯

science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large-scale data processing and database technologies such as More ❯

mentoring junior engineers. Collaboration & Communication: Excellent communication skills, with the ability to articulate technical concepts to diverse audiences and collaborate effectively across teams. Bonus Points For: Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker). Experience with specific orchestration tools (e.g., Airflow, dbt). Experience working in Agile/Scrum development methodologies. Experience with Big Data Technologies & Frameworks More ❯

draw business insights - Experience with SQL or ETL - Knowledge of Python, VBA, Macros, Selenium scripts PREFERRED QUALIFICATIONS - Experience working with Tableau - Experience using very large datasets - Knowledge of data visualization tools such as Quick Sight, Tableau, Power BI or other BI packages Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability More ❯

design, build and implement statistical models and other data solutions within London Market insurance. Data manipulation and analytical skills in languages such as Python and SQL. Knowledge of modern visualization tools such as PowerBI is a plus. Familiarity with cloud-based platforms such as Databricks, Snowflake and Azure is an advantage, but not essential. Effective task/project management and 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 ❯

with both local and global business needs. Key Responsibilities Provide day-to-day leadership, guidance and coaching to a growing team of data analysts, data engineers, and a data visualisation specialist Oversee project delivery across data pipeline development, analytics, and dashboard/report building in Power BI Work closely with the VP (based in NY) to translate strategic objectives into More ❯

with both local and global business needs. Key Responsibilities Provide day-to-day leadership, guidance and coaching to a growing team of data analysts, data engineers, and a data visualisation specialist Oversee project delivery across data pipeline development, analytics, and dashboard/report building in Power BI Work closely with the VP (based in NY) to translate strategic objectives into More ❯

with both local and global business needs. Key Responsibilities Provide day-to-day leadership, guidance and coaching to a growing team of data analysts, data engineers, and a data visualisation specialist Oversee project delivery across data pipeline development, analytics, and dashboard/report building in Power BI Work closely with the VP (based in NY) to translate strategic objectives into More ❯

or similar enterprise systems. Excellent communication, collaboration, and stakeholder management skills. Nice-to-Haves Knowledge of Kafka, Snowflake, or Databricks. Experience with AI in data (e.g., real-time forecasting, visualisation). Background in advisory or consulting roles within data strategy. Ability to thrive in ambiguous, fast-paced environments. Confidence in storytelling with data and presenting to senior leadership. Why Join More ❯

logistic regression - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science PREFERRED QUALIFICATIONS - 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience - Experience managing data pipelines - Experience as a leader and mentor on a data science team Amazon is an equal opportunity employer and More ❯