Revenue Operations Analyst, Cognassist

• The ideal candidate is analytically sharp, systems-oriented, and genuinely excited about applying AI to real business problems. We’re looking for someone early in their career with exceptional quantitative ability and a hunger to learn
• Strong quantitative and analytical ability — comfortable with data, formulas, logic, and systems thinking
• Demonstrable AI literacy: proficient in prompt engineering, familiar with LLM capabilities and limitations, able to evaluate and deploy AI tools
• Ability to understand and design sequential processes, data flows, and system logic
• Working knowledge of (or strong aptitude to learn) CRM systems, marketing automation, and integration platforms
• Comfortable with spreadsheets, data manipulation, and basic scripting (Python, SQL, or similar is a plus)
• Strong attention to detail and a bias toward structured, documented work
• Self-starter with genuine curiosity and a desire to develop professionally
• Systems Thinking — Sees how components connect; designs scalable, integrated solutions
• AI-Native Mindset — Defaults to automation; constantly looks for AI-enabled improvements
• Data Fluency — Interprets complex data and translates it into actionable insight
• Intellectual Curiosity — Proactively learns new tools, technologies, and methods
• Precision & Rigor — Produces clean, accurate, well-documented work
• Ownership — Takes full responsibility for deliverables and follows through
• Adaptability — Comfortable with ambiguity and evolving priorities in a scaling business
• What matters most is quantitative rigour, systems aptitude, and a demonstrable interest in AI

Desirable

• This is a junior revenue operations role focused on AI automation, systems integration, and data infrastructure
• Reporting to the Head of Growth Operations, you will be responsible for building and maintaining the automated systems, data flows, and AI-enabled processes that underpin Cognassist’s commercial engine
• This is not a marketing or sales execution role. You will work across CRM, marketing automation, AI tooling, analytics, and integrations — ensuring the operational infrastructure is scalable, clean, and increasingly automated
• Identify, build, and optimise AI-driven automations across marketing and commercial operations
• Design and implement workflows using AI tools (LLMs, APIs, no-code/low-code platforms) to reduce manual effort and improve speed
• Develop and maintain AI prompts, agents, and automation chains for repeatable business processes
• Re-engineer internal processes to support scalable automation and AI enablement
• Ensure responsible, ethical, and privacy-compliant use of AI technologies
• Document all automations, prompt libraries, and system logic for team knowledge
• Own day-to-day CRM hygiene, configuration, and continuous improvement
• Build and maintain integrations between CRM, marketing automation, website, AI tools, and analytics platforms
• Ensure data accuracy, deduplication, and clean governance across all systems
• Maintain cost-conscious system architecture; evaluate and recommend tooling
• Support lifecycle stage design, lead scoring models, and segmentation logic
• Build and maintain dashboards and reporting infrastructure for pipeline, funnel, and campaign performance
• Track conversion rates, identify drop-off points, and surface optimisation opportunities
• Perform quantitative analysis to inform strategic decisions across growth operations
• Ensure data portability and structured reporting standards across platforms
• Support closed-lost analysis and feedback loop development
• Support end-to-end funnel operations from lead capture through to pipeline tracking
• Manage lead capture, scoring, nurturing, and MQL progression processes within automation tools
• Ensure seamless data flow between marketing automation and CRM
• Optimise automation flows to mature leads before handover to sales
• Support the Head of Growth Operations with systems-level execution across owned marketing assets (website, email, analytics, paid channels)
• Assist with technical setup for webinars, landing pages, and campaign infrastructure
• Support partner enablement through structured co-marketing systems and data sharing