201 to 225 of 852 Visualisation Jobs in London

modelling). Experience of Databricks or similar, ability to run and understand basic SQL code and/or Python. Basic Power Automate and data visualisation tools e.g. Tableau experience is an advantage. Experience of delivering small analytical projects individually or as part of cross functional teams & knowledge of agile techniques. More ❯

in SQL (to feel comfortable manipulating data, creating scripts that combine different data sources and interpret results) and Python/R (data exploration, analysis, visualization). Strong experience of Tableau to pull data from various sources, develop and publish automated reports and dashboards. 5+ years of work experience in a More ❯

2+ years of analytical experience in sales ops, marketing ops, rev ops, customer ops or consulting. Advanced Excel, including SQL, Power BI and data visualization skills would be an asset. Able to turn data into insights and present information to all levels within the organisation including non-financial stakeholders. Ability More ❯

basic understanding and experience of SQL and Python (including Jupyter Notebooks) for data analysis, manipulation and reporting. You will have basic experience with data visualization tools e.g. Tableau Desktop, PowerBI or similar. You will have a basic knowledge of Mobile Networks architecture and KPI metrics impacting customer experience. You will More ❯

What we're looking for 2+ years of analytical experience in building and maintaining Commission processes. Advanced Excel, including SQL, Power BI and data visualization skills would be an asset. Prior use of Commission calculation software like SPIFF, Varicent, Xactly would be useful. Able to turn data into insights and More ❯

and beyond Veeva Platforms, such as SAP. Ability to analyze, transform, and synthesize data from multiple sources into a single system. Familiarity with Data Visualization and Reporting Concepts. Qualifications/Eligibility: Bachelor's degree or higher. Greater than 5 years of experience in Regulatory Affairs, with 3 years in Regulatory More ❯

Trained in Agile methodologies, programme or project management techniques (e.g. PRINCE2, MSP, SAFe) and/or a Design Thinking practitioner Experience of using data visualisation tools (e.g. Power BI, Qlik, etc) Exposure to a current technology (e.g. a Cloud platform, a CRM platform) PowerPoint and Excel skills What's in More ❯

technical specifications, system architecture, and user guides, facilitating knowledge sharing and future maintenance. Data Analytics and Business Intelligence: Familiarity with data analytics tools, data visualization techniques and business intelligence concepts. Experience of modern key testing techniques and tools. Logical and algorithmic thinking. Strong problem-solving skills. Good communication skills. 7+ More ❯

methodologies; quota and target setting, forecasting, pipeline management and sales incentive compensation plans Advanced Microsoft Office, Excel and Salesforce skills; advanced skills in data visualization/reporting solutions (e.g., Tableau, Looker, Salesforce reports and dashboards), advanced data programming languages such (e.g. SQL, R, Python) is a huge plus Ability to More ❯

Project Manager by leading analytical tasks required to produce effective business cases. Support key platform investment appraisal decisions. When required, execute data analysis and visualisation techniques to add insight to management information extracted from existing reports and data sources. Work closely with Project Managers and Test Managers throughout all project More ❯

practice principles to deliver the insights required to make data driven decisions. You will contribute to and enhance the data warehouse and Business Intelligence visualisation capabilities and help refine our data strategy. You will have wide-ranging responsibilities to help us execute on our data strategy, building platform capabilities as More ❯

developing and deploying models or tools using Python. Proficiency with standard statistical and machine learning techniques. Strong understanding of data wrangling, feature engineering, and visualisation techniques. Experience with relational databases and proficiency in SQL. Good communication skills - able to explain technical concepts to non-technical audiences. Ability to work collaboratively More ❯

data architecture, data management and data warehousing concepts Knowledge of relevant data protection laws and regulations Proficient in statistical analysis, machine learning and data visualisation techniques Familiarity with modern data tools and platforms, such as SQL, Python and cloud based data services (e.g AWS, Google Cloud, Azure More ❯

data architecture, data management and data warehousing concepts Knowledge of relevant data protection laws and regulations Proficient in statistical analysis, machine learning and data visualisation techniques Familiarity with modern data tools and platforms, such as SQL, Python and cloud based data services (e.g AWS, Google Cloud, Azure More ❯

Experience in CRM, data analysis, or a similar role—preferably within the fashion or retail industry. • Strong analytical skills with proficiency in Excel, data visualization tools (Tableau, PowerBI). • Able to code in Databricks and comfortable working with large datasets • Passion for fashion, customer-centric thinking, and a keen eye More ❯

Experience in CRM, data analysis, or a similar role—preferably within the fashion or retail industry. • Strong analytical skills with proficiency in Excel, data visualization tools (Tableau, PowerBI). • Able to code in Databricks and comfortable working with large datasets • Passion for fashion, customer-centric thinking, and a keen eye More ❯

ll bring: 8+ years in BI/Analytics & Insight, ideally 4+ years in leadership. Strong SQL skills; Python is also essential Expertise in data visualisation and stakeholder engagement. Experience in regulated industries. Insurance experience is preferred, finance considered. Strategic thinker with strong communication skills. If you're ready to join More ❯

ll bring: 8+ years in BI/Analytics & Insight, ideally 4+ years in leadership. Strong SQL skills; Python is also essential Expertise in data visualisation and stakeholder engagement. Experience in regulated industries. Insurance experience is preferred, finance considered. Strategic thinker with strong communication skills. If you're ready to join More ❯

Data Warehouse Architecture, Data Governance, Data Security Frameworks Experience with Cloud Platforms (e.g. Azure, AWS, GCP) and tools (e.g. Snowflake, Redshift, Azure Synapse) Data Visualisation e.g. Power BI, Tableau, Looker The charity typically leans towards Microsoft solutions so this are the more likely to be deployed. Great opportunity to join More ❯

a modern cloud environment, a GCP stack including BigQuery or Snowflake DWH, Fivetran and transformation in dbt. Strong skills in building dashboards and using visualisation tools such as Tableau (beneficial), Power BI or Looker. Experience in database design and architecture principles, e.g. dimensional modelling and strong SQL ability Some understanding More ❯

a modern cloud environment, a GCP stack including BigQuery or Snowflake DWH, Fivetran and transformation in dbt. Strong skills in building dashboards and using visualisation tools such as Tableau (beneficial), Power BI or Looker. Experience in database design and architecture principles, e.g. dimensional modelling and strong SQL ability Some understanding More ❯

an existing Consultant who is looking for a fresh environment. Requirements: Strong SQL skills and ideally Python Hands-on experience with Alteryx Experience with visualization tools such as Power BI or Tableau Experience building data pipelines Experience with at least one cloud-based data platform e.g. Azure, GCP, AWS, Snowflake More ❯

with strong analytical skills; comfortable interpreting and deriving insights from a variety of data sets. Experience with tools like Google Analytics, Excel or data visualization platforms (e.g., Tableau, Power BI) is desirable. Strong interest in eCommerce, digital marketing, and the retail tech industry. More ❯

to analyse portfolios and enhance pricing sophistication. Implement AI/ML techniques to automate processes and strengthen data pipelines. Develop strategic data assets and visualisation tools that empower underwriters. Partner with IT and engineering to integrate analytics into core platforms. Define best practices for model governance, deployment, and monitoring. Contribute More ❯

to analyse portfolios and enhance pricing sophistication. Implement AI/ML techniques to automate processes and strengthen data pipelines. Develop strategic data assets and visualisation tools that empower underwriters. Partner with IT and engineering to integrate analytics into core platforms. Define best practices for model governance, deployment, and monitoring. Contribute More ❯