22 of 22 Actionable Insight Jobs in Essex

modelling; understanding of semantic layer concepts, business definitions, and logical data modelling.• Strong analytical mindset with the ability to translate data into actionable insights. • Excellent communication and collaboration skills to engage with both technical and business teams, alongside strong stakeholder management and requirements gathering experience. ...

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 ...

fast‐paced startup environment with autonomy and ambiguity. Strong communication and problem‐solving skills. Ability to convert complex analytical outputs into actionable business recommendations. Nice to Have Experience with marketplace or matching algorithms. Exposure to flexibility markets, virtual power plants, or reconciliation/settlement processes. Experience ...

just minutes from London Bridge Station. About TMT Finance Founded in 2009, TMT Finance empowers decision-makers in digital infrastructure through actionable intelligence, proprietary data, and exclusive industry insight. Our platform is the go-to source for M&A, financing, and investment intelligence across telecoms, towers ...

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 ...

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 ...

market trends. Identify opportunities to integrate existing and emerging technologies into client projects. Deliver billable strategic consultancy for clients where required. Technical and Market Insight Maintain a strong understanding of relevant technologies, including AI and machine learning applications, and digital production processes. Use Google Analytics and other tools … performance metrics. Performance Monitoring Track KPIs including client satisfaction, revenue growth, and adoption of new services. Produce regular reports and provide actionable insights to internal stakeholders. Skills and Experience Proven experience in business development, digital strategy, and client services within a UK digital agency or similar ...

based relationships with product, infrastructure, and strategy leaders at priority accounts. Run open-ended conversations to understand institutional needs, constraints, and buying dynamics. Develop insight into how institutions assess vendors, make build vs buy decisions, and define requirements. Track market signals such as hiring trends, organisational changes, product launches … directly shape how next-generation financial infrastructure is brought to market. This is not a sales role. Success is measured by the quality of insight generated, the strength of early relationships built, and the company's ability to stay ahead of where demand is forming. **Unfortunately, due to high ...