# Business & AI Process Automation Analyst at Crypto.com

Business & AI Process Automation Analyst at Crypto.com in Hong Kong. Hybrid, full-time. Posted October 20, 2026.

- Company: Crypto.com
- Location: Hong Kong
- Workplace: Hybrid
- Job type: Full-time
- Experience: 3+ years
- Posted: 2026-10-20
- Apply: https://jobs.lever.co/crypto/bc9b829d-77a4-436d-85ba-d8973c461b54/apply
- Source: https://jobmagic.ai/jobs/business-ai-process-automation-analyst-cryptocom-6dyxk5

## Requirements

- 3+ years of relevant professional experience in business intelligence, business analytics, process automation, operations analytics, or a related role.
- A degree in Business Administration or Computer Science, Data Analytics, Information Systems or a related discipline; equivalent practical experience is also welcome.
- Practical experience using AI-enabled tools, LLMs, workflow automation, low-code platforms, or agentic workflows to improve analytical or operational processes.
- Strong business judgment and the ability to connect analysis to priorities, trade-offs, and measurable outcomes.
- Strong written and verbal communication skills, with the ability to work effectively across technical and business teams.
- A structured, detail-oriented approach to problem-solving and the ability to prioritise effectively when requirements are ambiguous or changing.
- Based in Hong Kong and able to work with stakeholders across different functions and time zones.

## Description

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. 

### What you’ll do

Cross-functional and external stakeholder delivery

- Manage operational requirements, timelines, and issue resolution across Corporate Development, Product, Operations, Finance, Engineering, Legal, Compliance, and other internal teams.

- 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.

- Oversee and execute platform updates for critical asset events: token migrations, smart contract swaps, protocol upgrades, rebrands, and asset deprecation/offboarding. 

- Act as the primary operational point of contact for external project teams, foundations, and key stakeholders.

- Coordinate internally to facilitate joint promotional campaigns, user engagement activities, and ecosystem growth initiatives with external partners.

AI-enabled process automation

- Identify repetitive analytical and operational work that can be improved with AI, LLMs, Python, SQL, APIs, low-code tools, or workflow platforms.

- Design and implement multi-step workflows with prompts, data transformations, validation rules, operating procedures, and clear business ownership.

- Test and monitor workflows for accuracy, edge cases, failures, exceptions, human review, approval gates, escalation, and safe fallback procedures.

Business analysis and decision support

- Translate ambiguous business questions into structured analysis, measurable metrics, data requirements, and actionable recommendations.

- Analyse business performance, product and operational trends, opportunities, bottlenecks, and process effectiveness.

- Build dashboards, reports, and executive-ready presentations, clearly explaining assumptions, trade-offs, limitations, and impact.

Data quality and control

- Investigate discrepancies across reports, systems, data sources, and metric definitions, and establish consistent business logic.

- Document data sources, transformations, analytical assumptions, ownership, and control requirements.

- Identify and escalate data-quality, access-control, privacy, security, and operational risks, ensuring AI-assisted outputs are validated before use.

### What we’re looking for

- 3+ years of relevant professional experience in business intelligence, business analytics, process automation, operations analytics, or a related role.

- A degree in Business Administration or Computer Science, Data Analytics, Information Systems or a related discipline; equivalent practical experience is also welcome.

- Practical experience using AI-enabled tools, LLMs, workflow automation, low-code platforms, or agentic workflows to improve analytical or operational processes.

- Strong business judgment and the ability to connect analysis to priorities, trade-offs, and measurable outcomes.

- Strong written and verbal communication skills, with the ability to work effectively across technical and business teams.

- A structured, detail-oriented approach to problem-solving and the ability to prioritise effectively when requirements are ambiguous or changing.

- Based in Hong Kong and able to work with stakeholders across different functions and time zones.

### Nice to Have

- Experience building dashboards, reports, data pipelines, or analytical tools using Power BI, Tableau, Looker, Excel, or equivalent tools.

- Experience with Python and SQL for data preparation, analysis, automation, or workflow development.

- Experience building or implementing AI agents or multi-step workflows with exception handling and human handoffs.

- Experience with APIs, Git, n8n, Databricks, cloud data tools, or workflow-orchestration platforms.

- Exposure to financial services, fintech, digital assets, payments, trading, capital markets, or another fast-moving technology environment.

#LI-CY2