376 to 400 of 2,005 Permanent Visualisation Jobs

economics, engineering, mathematics, operations research or statistics) or a discipline that fosters problem solving, structured thought, and creativity. Experience utilizing Tableau, PowerBI, and/or Oracle Data Analytics/Visualization tools A strong understanding of creating SQL queries Minimum of 1-3 years of quantitative analysis and problem solving experience. Ability to effectively communicate technical work in writing and verbally More ❯

a variety of audiences. Candidate should have the ability to demonstrate practical experience substantiating equivalent skills such as Structured Query Language, Microsoft Excel, R or Python statistical programming, Data Visualization, and Presentation Skills.Requirements for this position shall include: Bachelor's degree or higher in related field of study or equivalent experience Minimum of four (4) years of experience, two within 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 ❯

data mining techniques, and builds high quality prediction systems. Should have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics. Should be skilled in data visualization and use of graphical applications, including: Microsoft Office (Power BI) and Tableau. Major data science languages, such as R and Python. Managing and merging of disparate data sources, preferably through 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 ❯

experience as a Data Scientist or in a similar analytics role (gaming, betting, or consumer apps is a big plus) Strong skills in SQL, Python or R, and data visualisation tools (e.g., Tableau, Power BI) Experience with statistical analysis, predictive modelling, and segmentation techniques Understanding of user behaviour analytics, retention metrics, and A/B testing Bonus: Experience with fraud More ❯

development, engineering, or robotics. Basic knowledge of autonomous navigation technologies (RTK, VSLAM), battery systems, or IoT devices. Familiarity with data analysis tools such as Excel, Python, SQL, or data visualization platforms (e.g., Power BI, Tableau). Salary/Benefits Information: £30,000 - £35,000 + benefits Contact: Rebecca Isaac Reference: RI/95385 Candidate care: By responding to this advert More ❯

development, engineering, or robotics. Basic knowledge of autonomous navigation technologies (RTK, VSLAM), battery systems, or IoT devices. Familiarity with data analysis tools such as Excel, Python, SQL, or data visualization platforms (e.g., Power BI, Tableau). What We Offer A great entry point into product management with mentorship from experienced professionals. Hands-on experience with innovative robotic technology. Opportunities for 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 ❯

the organisation, supporting the shift towards a data driven culture. Performance Reporting & Analytics: Oversee the design, production, and distribution of comprehensive performance reports. Develop and implement dashboards and data visualisation tools to enhance report accessibility and understanding. Team Leadership & Development: Lead and manage a team of performance analysts, providing coaching, development opportunities, and performance feedback. Promote a culture of continuous 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 ❯

knowledge of front-end technologies: HTML, CSS, JavaScript (ES6+), React, Angular, Vue.js. • Strong understanding of UI/UX principles, responsive design, accessibility (WCAG), and usability testing. • Experience with data visualization libraries (e.g., D3.js, Chart.js) and tools (e.g., Tableau, Power BI). • Proficiency in API integration (RESTful, GraphQL) and data handling (JSON, XML). • Experience with front-end build tools (e.g. More ❯

of information retrieval, data science, machine learning and data mining - Experience working directly with business stakeholders to translate between data and business needs - Experience with SQL - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience in the data/BI space PREFERRED QUALIFICATIONS - Experience managing, analyzing and communicating results to senior leadership Amazon is an equal opportunities employer. 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 ❯

Industrial Assessments Branch and across the Agency Conduct analysis to incorporate and evaluate risk Able to produce algorithms in R &/or Python Understanding concept of data sampling Data Visualization via Tableau and presentation to Executive Leadership Able to conduct exploratory data analysis w/various types of data to include textual data ACTIVE TS/SCI with CI POLY 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 ❯

and working in Agile/Scrum development environments. A track record of working effectively global remote teams Desirable: Experience with data modelling and data warehousing concepts. Familiarity with data visualization tools and techniques. Knowledge of machine learning algorithms and frameworks. What we offer: As well as the technical skills, experience and attributes that are required for the role, our shared 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 ❯

lives. BASIC QUALIFICATIONS - 3+ years of tax, finance or a related analytical field experience - 3+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience - 3+ years of business or financial analysis experience - Experience defining requirements and using data and metrics to draw business insights - Experience making business recommendations and More ❯

and evaluating the state of the art in machine learning algorithms for text analytics5. Demonstrated experience with machine learning frameworks such as PyTorch, Keras, Tensorflow6. Demonstrated experience with data visualization tools (i.e. Tableau, Pandas, D3.js, ggplot, etc)7. Demonstrated experience with NoSQL data stores such as MongoDB or DynamoDB8. Demonstrated experience using Natural Language Processing tools such as spaCy, NLTK More ❯

like Google Tag Manager and custom data-layer setups. Build custom dashboards using Looker Studio, Power BI, Tableau and similar tools. Explore AI-driven solutions to enhance data collection, visualization, and automation. Data Analysis & Insights Analyse data to provide actionable insights, supporting campaign performance and client reporting. Create and maintain dashboards to visualise key metrics for clients and internal teams. 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 ❯

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 ❯

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 ❯