16 of 16 Actionable Insight Jobs in Essex

About Akixi Akixi is a leading provider of SaaS analytics solutions for cloud-based communication platforms, helping service providers and enterprises gain actionable insights from their telephony and collaboration data. Our solutions span Microsoft Teams, Cisco BroadWorks, Webex Calling, and CRM integrations — delivering real-time ...

existing ML systems Review code and architecture, setting a high engineering standard Analyse data and run ad-hoc studies to generate actionable insights into marketing effectiveness What They're Looking For Strong experience as a Machine Learning Engineer/AI Engineer in a product-led environment ...

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 ...

campaigns to improve visibility, traffic, and conversions Monitor and analyse campaign performance using tools such as Google Analytics, producing reports and actionable insights Support client onboarding and account management, including reporting, meetings, and progress tracking Collaborate with internal teams and stakeholders to ensure consistent messaging ...

campaigns to improve visibility, traffic, and conversions. Monitor and analyse campaign performance using tools such as Google Analytics, producing reports and actionable insights. Support client onboarding and account management, including reporting, meetings, and progress tracking. Collaborate with internal teams and stakeholders to ensure consistent messaging ...

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 ...

asset intelligence platform used by road authorities and councils. Our product is mobile-first, turning smartphone imagery, GPS, and sensor data into actionable insights at scale. We're looking for a senior engineer who is strong in React Native, comfortable with map-heavy interfaces, and happy ...

your career. Data Analyst As a Graduate Data Analyst, you'll work closely with business stakeholders to gather requirements, translate them into actionable solutions, and collaborate with developers to bring these ideas to life. This role is ideal for someone who enjoys problem-solving, understanding business … practices. Data Analyst - Sales and Marketing As a Data Analyst - Sales & Marketing, you'll play a key role in turning data into actionable insights that shape commercial strategies. You'll work closely with Sales, Marketing, and senior stakeholders to produce reports, forecasts, and dashboards that inform ...

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 ...