About the role
We are looking for a Business & AI Process Automation Analyst to help our Corporate Development team turn business data and operational processes into better decisions, faster execution, and measurable improvements.
This is a hybrid business-and-technology role for someone with a Computer Science, Information Systems, or related background who enjoys working closely with business users. You will work across Corporate Development, Product, Operations, Finance, Engineering, Legal, Compliance, and other stakeholders.
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Cross-functional and external stakeholder delivery
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Manage operational requirements, timelines, and issue resolution across Corporate Development, Product, Operations, Finance, Engineering, Legal, Compliance, and other internal teams.
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Manage end-to-end operational workflows for new digital asset integrations and asset offerings across products — from initial assessment through to live launch and ongoing maintenance.
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Oversee and execute platform updates for critical asset events: token migrations, smart contract swaps, protocol upgrades, rebrands, and asset deprecation/offboarding.
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Act as the primary operational point of contact for external project teams, foundations, and key stakeholders.
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Coordinate internally to facilitate joint promotional campaigns, user engagement activities, and ecosystem growth initiatives with external partners.
AI-enabled process automation
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Identify repetitive analytical and operational work that can be improved with AI, LLMs, Python, SQL, APIs, low-code tools, or workflow platforms.
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Design and implement multi-step workflows with prompts, data transformations, validation rules, operating procedures, and clear business ownership.
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Test and monitor workflows for accuracy, edge cases, failures, exceptions, human review, approval gates, escalation, and safe fallback procedures.
Business analysis and decision support
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Translate ambiguous business questions into structured analysis, measurable metrics, data requirements, and actionable recommendations.
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Analyse business performance, product and operational trends, opportunities, bottlenecks, and process effectiveness.
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Build dashboards, reports, and executive-ready presentations, clearly explaining assumptions, trade-offs, limitations, and impact.
Data quality and control
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Investigate discrepancies across reports, systems, data sources, and metric definitions, and establish consistent business logic.
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Document data sources, transformations, analytical assumptions, ownership, and control requirements.
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Identify and escalate data-quality, access-control, privacy, security, and operational risks, ensuring AI-assisted outputs are validated before use.
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3+ years of relevant professional experience in business intelligence, business analytics, process automation, operations analytics, or a related role.
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A degree in Business Administration or Computer Science, Data Analytics, Information Systems or a related discipline; equivalent practical experience is also welcome.
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Practical experience using AI-enabled tools, LLMs, workflow automation, low-code platforms, or agentic workflows to improve analytical or operational processes.
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Strong business judgment and the ability to connect analysis to priorities, trade-offs, and measurable outcomes.
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Strong written and verbal communication skills, with the ability to work effectively across technical and business teams.
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A structured, detail-oriented approach to problem-solving and the ability to prioritise effectively when requirements are ambiguous or changing.
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Based in Hong Kong and able to work with stakeholders across different functions and time zones.
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Experience building dashboards, reports, data pipelines, or analytical tools using Power BI, Tableau, Looker, Excel, or equivalent tools.
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Experience with Python and SQL for data preparation, analysis, automation, or workflow development.
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Experience building or implementing AI agents or multi-step workflows with exception handling and human handoffs.
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Experience with APIs, Git, n8n, Databricks, cloud data tools, or workflow-orchestration platforms.
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Exposure to financial services, fintech, digital assets, payments, trading, capital markets, or another fast-moving technology environment.