501 to 525 of 1,502 Visualisation Jobs

and run A/B tests to measure the impact of CRM initiatives Monitor and improve model performance using data insights and feedback Communicate algorithmic solutions clearly using data visualisation tools Collaborate with CRM and regional marketing teams to align with campaign goals Partner with engineering and data teams to ensure scalable solutions Requirements Extensive experience in data science, including More ❯

with AI tools such as Einstein Analytics, Tableau CRM, ChatGPT integrations, or similar. Ability to build custom apps, formula fields, workflows, and automate complex processes. Strong analytical and data visualization skills. Comfortable working in a fast-paced environment where innovation and data insights drive performance. Excellent communication and stakeholder management skills. We offer a competitive compensation package along with outstanding More ❯

with AI tools such as Einstein Analytics, Tableau CRM, ChatGPT integrations, or similar. Ability to build custom apps, formula fields, workflows, and automate complex processes. Strong analytical and data visualization skills. Comfortable working in a fast-paced environment where innovation and data insights drive performance. Excellent communication and stakeholder management skills. We offer a competitive compensation package along with outstanding More ❯

of a multi-disciplinary team. You will be utilising cutting edge machine learning techniques and an analytical mindset to deliver solutions to clients. Projects range from data exploration and visualisation, to integrating algorithms into software and developing data processing pipelines. You will be empowered to explore new tools and techniques and apply the best tool for the job. As a More ❯

supporting root cause analysis. Partner with agile squads (DPOs, Scrum Masters, BI/Analytics teams) to ensure data governance integration into delivery pipelines. Provide support in analytics, reporting, and visualization by applying governance policies to BI tools The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement More ❯

team. Typically, 6+ years of relevant work experience in industry, with a minimum of 2+ years in a similar role. Proficiencies in data cleansing, exploratory data analysis, and data visualization Continuous learner that stays abreast with industry knowledge and technology Why Join Us? Work on impactful AI projects with real-world applications Be part of a collaborative and forward-thinking More ❯

a fast-paced SME environment. Experience in retail tech, SaaS, or other data-driven product businesses would be an advantage.Solid grasp of data governance, integration, and best practice in visualisation A curious, critical thinker who can influence at all levels Ideally, experience working with retail or technology-driven SaaS environments Must be eligible to live and work in the UK More ❯

data enhancement via CDP Club-wide reporting rollout Predictive modelling and segmentation F&B and digital journey optimisation Tech environment GCP - data warehouse and pipelines Power BI/Omni - visualisation and exploration SQL, Python, DBT, Docker Exposure to web & app event tracking and modern data tooling About you Proven leadership of data teams in modern cloud environments. Skilled in stakeholder More ❯

a fast-paced SME environment. Experience in retail tech, SaaS, or other data-driven product businesses would be an advantage.Solid grasp of data governance, integration, and best practice in visualisation A curious, critical thinker who can influence at all levels Ideally, experience working with retail or technology-driven SaaS environments Must be eligible to live and work in the UK More ❯

e.g. ServiceNow, Jira, Zendesk) Familiarity with knowledge management tools and documentation practices Strong understanding of ITIL principles across incident, problem, and change management Skilled in Power BI (reporting/visualisation) and Visio (process mapping) Analytical & Communication Skills Confident analysing performance metrics and identifying service trends Skilled in conducting root cause analyses and implementing effective solutions Strong communicator, capable of engaging More ❯

e.g. ServiceNow, Jira, Zendesk) Familiarity with knowledge management tools and documentation practices Strong understanding of ITIL principles across incident, problem, and change management Skilled in Power BI (reporting/visualisation) and Visio (process mapping) Analytical & Communication Skills Confident analysing performance metrics and identifying service trends Skilled in conducting root cause analyses and implementing effective solutions Strong communicator, capable of engaging More ❯

essential, the following skills are desired by the client: Adept at creating highly optimised workflows and solutions Deep knowledge of various Microsoft Azure AI services Strong data analytics and visualisation skills specifically using tools like Excel and Alteryx Knowledge of Responsible AI practices If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word More ❯

engagement Proven full-lifecycle experience across full-suite data landscapes which may include data warehouse and data lakehouse solutions (e.g. Snowflake,) associated data ingestion, migration and management components, data visualisation tools, machine learning and AI applications in data management, and MDM, CRM and enterprise applications such as Salesforce. Strong understanding of cloud-based and on-premise system architectures, incorporating modern More ❯

engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker) A passion for gaining insight into real-world datasets and clearly communicating through data visualization techniques Interest in material discovery, computer vision, handling big data and optimisation techniques Highly effective communicator who encourages innovation through collaboration Natural problem-solver with a desire to learn Organised More ❯

engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker) A passion for gaining insight into real-world datasets and clearly communicating through data visualization techniques Interest in material discovery, computer vision, handling big data and optimisation techniques Highly effective communicator who encourages innovation through collaboration Natural problem-solver with a desire to learn Organised More ❯

connectors to replicate data from ASOTs to Midas and/or AWS Cloud Environments through data transformation within Power BI. Serve as an IT specialist for data science and visualization team, identifying technical issues and managing all resolution activities with IT department. Work with team to remain compliant with upcoming system changes and advancements. Champion service tickets and requests required More ❯

engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker) A passion for gaining insight into real-world datasets and clearly communicating through data visualization techniques Interest in material discovery, computer vision, handling big data and optimisation techniques Highly effective communicator who encourages innovation through collaboration Natural problem-solver with a desire to learn Organised More ❯

engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker) A passion for gaining insight into real-world datasets and clearly communicating through data visualization techniques Interest in material discovery, computer vision, handling big data and optimisation techniques Highly effective communicator who encourages innovation through collaboration Natural problem-solver with a desire to learn Organised More ❯

of requirements gathering, documentation, and process mapping. Proficiency in MS Office Suite (Excel, Word, PowerPoint) and collaboration tools (JIRA, Confluence, or similar). Familiarity with data analysis tools and visualization (preferred but not required). Strong analytical, problem-solving, and communication skills. Ability to work independently and as part of a team in a fast-paced environment. What We Offer More ❯

the Finance, Energy, or Oil industries. Strong numerical skills and a highly analytical mindset. Experience in a programming language, such as Python, strongly preferred. Experience with data analysis, data visualisation or machine learning preferred Who we look for We are looking for driven, talented undergraduate students who are interested in an exciting, challenging career in the commodities sector. Working at More ❯

modern ML libraries such as Pandas, scikit-learn, and TensorFlow You have practical experience with MLOps frameworks and deploying models You're skilled at bringing data to life through visualisation, and tools like Tableau feel natural to you You're comfortable working with cloud-based architectures and platforms like Databricks or AWS You understand collaborative coding practices such as Git More ❯

as a Data Scientist for consumer-facing digital product development is strongly preferred. You have strong interpersonal skills and are a great stakeholder manager. You are expert in data visualisation and presentation, and can interpret information into clear actions and strategy. You can tackle loosely defined problems and come up with relevant analytical approaches and impactful insights. You have proficiency More ❯

that are robust, reusable, and value-driven. Location: Uxbridge, UK. Main Responsibilities Solution Architecture & Design Design end-to-end architecture for data products, including ingestion, transformation, storage, access, and visualization layers. Define architectural standards, patterns, and principles for data product development. Ensure solutions are scalable, modular, reusable, and aligned with enterprise architecture and data strategy. Lead the selection and integration More ❯

that are robust, reusable, and value-driven. Location: Uxbridge, UK. Main Responsibilities Solution Architecture & Design Design end-to-end architecture for data products, including ingestion, transformation, storage, access, and visualization layers. Define architectural standards, patterns, and principles for data product development. Ensure solutions are scalable, modular, reusable, and aligned with enterprise architecture and data strategy. Lead the selection and integration More ❯

that are robust, reusable, and value-driven. Location: Uxbridge, UK. Main Responsibilities Solution Architecture & Design Design end-to-end architecture for data products, including ingestion, transformation, storage, access, and visualization layers. Define architectural standards, patterns, and principles for data product development. Ensure solutions are scalable, modular, reusable, and aligned with enterprise architecture and data strategy. Lead the selection and integration More ❯