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Technical business analyst (western australia)

PST.AG
Business analyst
Posted: 26 November
Offer description

Technical Business Analyst

PST.AG Perth, Western Australia, Australia

Responsibilities

- Requirements Gathering, Analysis and Documentation:
- Work closely with business stakeholders, global trade compliance specialists, developers, legal researchers and data teams to elicit and define explicit, complete, and testable requirements.
- Conduct stakeholder interviews, workshops, and research to understand business objectives and pain points.
- Create and maintain detailed documentation including Business Requirements Documents (BRD), Functional Specifications (FRS), and Use Cases.
- Translate complex business needs into technical requirements, wireframes, workflows, and acceptance criteria.
- Design JSON/XML schemas to unify multi-country customs data (e.g., EU Zolltarife) into a single API structure.
- Define use cases for AI/LLM integration in document automation (e.g., extracting nested tables from PDFs). Collaborate with developers on data pipelines and API specifications.
- Document compliance and regulatory requirements in a format suitable for system configuration and automation.
- Translate complex regulatory concepts into clear requirements for technical teams.
- Create and maintain detailed business process documentation (text + diagrams).
- Identify and define required input/output documents within workflows.

Qualifications

- Bachelor’s degree in Information Systems, Computer Science, Business Analytics or any related discipline.
- 5+ years as a Technical Business Analyst in regulated industries (trade, logistics, finance).
- Experience working with structured and unstructured data, including XML, CSV, and government publications.
- Experience creating detailed business process documentation (text & diagrams).
- Strong BRD/FRS documentation skills.
- Excellent analytical, documentation and communication skills.
- Must be amenable to work CET.

Nice-to-Haves

- Basic Java/Python for technical collaboration.
- Familiarity with AI/LLM use cases (e.g., automations, strengths and limitations).
- Experience with AI/ML concepts or integrating with LLM-based systems.
- Experience with SQL, JSON, or data transformation tools.

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