151 to 175 of 691 Visualisation Jobs in London

actionable insights. Excellent communication and interpersonal skills. Knowledge of data modelling, data warehousing, and data governance principles. Experience working with DAX (Data Analysis Expressions) and SQL. Experience with data visualization and storytelling techniques. Ability to work independently and as part of a team. Adaptability to changing business requirements and technologies. Technically proficient and up-to-date with how technology can More ❯

actionable insights. Excellent communication and interpersonal skills. Knowledge of data modelling, data warehousing, and data governance principles. Experience working with DAX (Data Analysis Expressions) and SQL. Experience with data visualization and storytelling techniques. Ability to work independently and as part of a team. Adaptability to changing business requirements and technologies. Technically proficient and up-to-date with how technology can More ❯

development, and strategic projects to improve BI & Analytics capabilities at Amazon. BASIC QUALIFICATIONS 2+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. Experience with data visualization tools such as Tableau, Quicksight, or similar. Proficiency with industry analytics tools and statistical methods (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI; t-test, Chi-squared). Experience with scripting languages More ❯

data warehousing principles. Preferred Skills Strong problem-solving and analytical skills . Experience with cloud databases, cloud data services, messaging/data streaming & big data technologies. Familiarity with data visualization tools. Excellent communication and teamwork skills. Ability to work in a fast-paced and dynamic environment. Data Certifications in AWS/Azure platforms will be a plus Equal opportunities statement More ❯

to detail and a commitment to data accuracy and integrity. Ability to work independently and as part of a team, demonstrating initiative and problem-solving abilities. Experience with data visualization tools (e.g., Tableau, Power BI) is desirable. More ❯

and presenting findings to internal and client stakeholders Supporting campaign leads with post-campaign evaluations and optimisation recommendations Developing dashboards and reports using Power BI, Looker Studio, and other visualisation tools Championing a data-first culture across teams and mentoring junior analysts Staying up to date with trends in marketing analytics and campaign measurement You 5+ years' experience in marketing More ❯

platforms (e.g., Azure, AWS) and modern data architectures. Strong leadership, stakeholder management, and communication skills across technical and non-technical audiences. Practical experience implementing DevSecOps practices for reporting and visualization platforms, ensuring secure handling of confidential and sensitive data. Extensive knowledge of database management systems (e.g., SQL, NoSQL) for data modeling, extraction, and reporting purposes. Job Offer Competitive daily rate More ❯

and data schema design. Configure, manage, and evolve our Apache Superset dashboards to surface insights to internal teams and partner organisations (e.g. NHS Mental Health Trusts). Build flexible visualisation and report templates that meet the needs of clinical, operational, and compliance stakeholders. Support internal users (product, client, delivery teams) in interpreting and using the data effectively. Work with product More ❯

which include Business Intelligence Engineers and Data Engineers to make sense of the vast datasets we possess. BASIC QUALIFICATIONS - Experience with SQL or ETL - Experience with reporting and Data Visualization tools such as Quick Sight/Tableau/Power BI or other BI packages - Experience writing business requirements documents, functional specifications, and use cases - Experience defining requirements and using data More ❯

and data lakes to ensure efficient data flow and storage for analytics purposes. Collaborate with cross-functional teams to integrate analytics solutions into our products. Design and build data visualization tools to communicate findings to stakeholders. Continuously research and apply the latest techniques in AI and machine learning to supply chain problems. Contribute to the development of our analytics product 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 ❯

sets and drawing actionable insights. Demonstrated proficiency in intermediate to advanced data analysis tools such as Microsoft Excel (e.g. pivot tables, complex formulas, data modelling) and Power BI (data visualization, dashboard creation, data analysis expressions (DAX). Effective communicator with experience conveying complex information in a clear and concise manner with the ability to tailor messages to the intended audience. More ❯

clean large (multi-TB) data sets - Experience working directly with business stakeholders to translate between data and business needs - Experience in the data/BI space - Experience with data visualization using Tableau, Quicksight, or similar tools PREFERRED QUALIFICATIONS - Experience managing, analyzing and communicating results to senior leadership - Master's degree in statistics, data science, or an equivalent quantitative field Amazon 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 ❯

PostgreSQL. Proven experience with dbt, focusing on building and maintaining efficient, scalable, and reliable DAGs. Proficiency in Python for data manipulation, scripting, or automation tasks. Are proficient with data visualisation tools such as Tableau or similar. Excellent communication and people skills: you will be working closely with analysts and non-technical stakeholders to gather requirements and guide them to pick More ❯

finance or a related analytical field experience - Experience defining requirements and using data and metrics to draw business insights - Experience with SQL or ETL - Experience with reporting and Data Visualization tools such as Quick Sight/Tableau/Power BI or other BI packages - Experience with data modeling, warehousing and building ETL pipelines PREFERRED QUALIFICATIONS - Experience working with Tableau - Experience More ❯

job page. BASIC QUALIFICATIONS - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience writing complex SQL queries - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data More ❯

in business analytics, franchise operations, or a related role within QSR, retail, or multi-unit businesses Experience working with franchisees or external partners on performance management. Proficiency in data visualization tools (Power BI, Tableau, or similar). Familiarity with data storage and integration platforms (Snowflake, APIs, ETL processes). Understanding of POS systems and financial reporting. Strong stakeholder management and More ❯

in business analytics, franchise operations, or a related role within QSR, retail, or multi-unit businesses Experience working with franchisees or external partners on performance management. Proficiency in data visualization tools (Power BI, Tableau, or similar). Familiarity with data storage and integration platforms (Snowflake, APIs, ETL processes). Understanding of POS systems and financial reporting. Strong stakeholder management and More ❯

lending environment. (Experience with IFRS9 is a bonus!) You have a strong ability in manipulating and analyzing large datasets using SQL and/or Python. You are experienced in visualization and storytelling through data. You have a passion for translating numbers into business opportunities and delivering insights to drive decision-making. You are a structured and holistic problem-solver, and More ❯

analysis skills. Understanding of quality assurance and quality control from a data and product perspective. Proficiency using scripting languages (preferably Python) to query and interrogate datasets. Experience using data visualization tools such as QlikSense and tableau. Proven track record of effective project management and meeting deliverables. Please note we use years of experience as a guide but we certainly will More ❯

and validate information Enthusiasm for data work, and the ability to visualise data Proficiency in Python for data wrangling, analysis and automation Experience with Tableau or equivalent BI/visualization tools desired Excellent written and communication skills. Fluency in English. Additional European languages are a bonus Degree in a numerical or analytical field and/or experience working in an More ❯

with product and design teams Nice-to-Haves Experience with e-commerce platforms, especially Shopify Background in trust metrics or customer experience analysis Knowledge of dashboard design and data visualization best practices Experience with cloud-based data infrastructure (AWS) Familiarity with modern data stack tools (Airflow, dbt, etc.) Why This Role Matters Judge.me is at an inflection point. As the More ❯

campaigns using tools such as Trello, Smartsheet, or other project management platforms. Proficiency in Microsoft Office Suite, especially PowerPoint and Excel. Familiarity with LMS platforms (e.g., Saba) and data visualization tools (e.g., Power BI) a plus. Outstanding written and verbal communication skills in business English; additional languages are a plus. Comfort with adopting and experimenting with new technologies, including AI More ❯

Python and ETL frameworks Deep knowledge of data pipeline architectures and products such as Snowflake or similar Experience with delivering data products to clients via APIs Familiarity with data visualization tools Knowledge of locating, assessing and integrating third party data-sets Experience with machine learning techniques and libraries (e.g., regression, classification, clustering, neural networks). Solid understanding of AI concepts More ❯