12 of 12 Permanent Actionable Insight Jobs in Devon

operational processes. Day-to-Day of the Role: Design, build, and maintain dashboards and reports (primarily in Power BI) to provide clear, actionable insights for stakeholders. Query and manipulate data using SQL to support analysis, investigations, and reporting needs. Conduct deep-dive analysis to identify trends ...

market and enterprise organisations. This is a strategic hunter role, focused on winning complex deals and helping organisations unlock actionable insight from fragmented procurement and spend data. The Role You will take ownership of the full sales cycle, positioning a modern spend intelligence platform ...

Revenue Operations Manager who will play a key role in optimizing our sales process, owning our HubSpot CRM environment, and delivering actionable insights to accelerate growth. This role is central to ensuring our commercial teams operate efficiently and effectively—partnering with Sales Leadership, Marketing, and Client … Acumen: Strong understanding of commercial principles and data governance best practices. Communication: Fluent English with the ability to translate complex data into actionable insights for diverse audiences. Collaboration: A proactive team player with strong analytical and problem-solving skills, eager to learn and adapt ...

science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. … sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal ...

science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. … sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal ...

science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. … sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal ...

science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. … sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal ...

science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. … sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal ...

science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. … sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal ...

science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. … sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal ...

science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. … sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal ...

design, technology and policy. As a User Researcher, you'll help ensure services are designed around the people who use them. You'll bring insight, structure and challenge, influencing decisions at the right level depending on grade. This is a role for people who value impact over theatre … programmes Lead research planning and delivery aligned to organisational priorities Influence senior decision-making and challenge assumptions with evidence Translate research findings into strategic insight for service and policy design Line-manage and develop researchers, championing inclusive and high-quality research What we're looking for These roles suit ...