Analyst Programmer (Python, R, SAS, VBA, SQL)
| Job ref no. | LS |
| Job level | Entry |
| Work experience | |
| Education | Bachelor Degree |
| Location | Kowloon |
| Employment type | Full Time |
| Salary | Negotiable |
| Benefits | |
| Industry | Information Technology |
| Job function | Information Technology (IT) |
| Posted on | 2026-10-21 |
Key responsibilities
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Review and interpret existing legacy systems using SAS, Python, R or VBA codes to understand business logic, data dependencies and processing requirements
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Migrate legacy programs while preserving business functionality and ensuring accuracy of results
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Develop and automate data processing workflows using Python, R and AI Agent workflow systems
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Develop reports supported by ETL/ELT and data virtualisation tools to enable data integration and reporting during application migration
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Use AI-assisted development tools to support code analysis, conversion, documentation and testing
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Collaborate with business users, data teams and infrastructure teams to clarify requirements and resolve migration issues
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Document existing logic, conversion rules, technical designs, and operating procedures
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Support deployment, troubleshooting and knowledge transfer to ensure a smooth transition to the new platform
About you
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Bachelor degree or above in Computer Science, Information Technology, Data Science, or a related field
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At least 4 years of hands-on software development experience across both front- and back-end technologies
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Proficiency in modern programming languages and frameworks including Python, R, SAS, VBA, and SQL and working with relational databases
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Strong teamwork and communication skills, with a proven ability to engage effectively in programming design, code review and architectural discussions
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Solid experience in application migration, code conversion and data processing (advantageous)
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Familiarity with workflow automation and version control, and AI development (advantageous)
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Knowledge of Infrastructure Architecture, Virtualization technologies and Containerization technologies (advantageous)