Senior Business Analyst

Baseplan Software

Sydney

On-site

AUD 120,000 - 150,000

Full time

4 days ago
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Job summary

Baseplan Software seeks a Senior Business Analyst to drive discovery and solution design across product areas. You will translate customer and internal needs into clear, agent-ready specifications and verify alignment with what is built.

You will own requirements, use AI-assisted capture, and collaborate with Product, Engineers and QA to ensure successful delivery while maintaining the backlog and producing wireframes and data mappings for UI transitions.

Qualifications

  • 6+ years' Business Analysis delivering commercial software products (ERP experience highly regarded).
  • Proven ability to lead discovery, requirements gathering and solution design activities.
  • Strong stakeholder management translating business needs into user stories, flows and acceptance criteria.
  • Experience in Agile delivery teams using Jira, Confluence or similar tools.
  • Working knowledge of data analysis and SQL.
  • Excellent written and verbal communication skills.
  • Experience using AI tools to improve productivity and delivery outcomes.

Responsibilities

  • Lead discovery with customers, Product Managers and SMEs from framing the business problem to agreed scope.
  • Write clear, testable requirements for engineers, testers and AI agents.
  • Maintain module backlogs in Jira and prep items for sprint planning.

Skills

Discovery leadership
Stakeholder management
Agile / Jira
SQL / data analysis
Written & verbal comms
AI tooling adoption

Education

BA/BS degree
CBAP / BABOK

Tools

Jira
Confluence
Power BI
DevExpress

Job description

The Senior BA leads discovery and solution design across product areas, turns customer and internal needs into clear, agent-ready specifications, verifies that what is built matches what was asked.

Key responsibilities
Requirements and discovery
  • Lead discovery with customers, Product Managers and internal SMEs, from framing the business problem through to an agreed scope, including multi-module and multi-customer initiatives.

  • Write clear, testable requirements that allow engineers, testers and AI agents to proceed with minimal ambiguity and unnecessary rework.

  • Maintain the backlog for your modules in Jira, keeping items refined, prioritised with the Product Team Lead and ready for sprint planning.

Solution design
  • Own solution design for your product areas with the Solution Architect and Product Managers, ensuring solutions fit Baseplan’s product direction rather than one customer’s workaround.

  • Produce wireframes, screen specifications and data mappings for screens moving from the legacy UI to the Web UI.

  • Assess change requests for impact across modules, integrations and reporting, and recommend build, configure or decline.

AI-driven requirements capture, use cases and solution design
  • Use AI tooling (LLM assistants, agents or whichever harness Baseplan adopts) to capture requirements from customer conversations, workshop notes, support tickets and existing documentation, then validate and refine the output into approved requirements rather than accepting it as-is.

  • Write structured use cases (actors, preconditions, main and alternate flows, postconditions, business rules) in a format that AI development and test agents can consume directly to build screens and generate tests.

  • Generate and compare solution options with AI, evaluate them against Baseplan’s product direction, data model and integration constraints, and take the recommended design to the Solution Architect for sign-off.

  • Help build and maintain the prompt library, templates and examples that make requirements capture, use-case writing and solution design repeatable across the Product team and keep them current as the agents improve.

  • Measure how much of the requirements and design effort the AI workflow saves and where it produces errors and adjust the process accordingly.

Verification and quality
  • Verify delivered screens and features against the requirement before they reach customers, working the QA lead.

  • Review AI-agent output (drafted requirements, generated tests, built screens) for correctness and completeness, and feed corrections back into the prompts and specs.

  • Support UAT with customers and triage defects back to root cause: requirement gap, design gap or build defect.

Stakeholder engagement
  • Be the day-to-day contact for customers and Customer Service on requirements questions for your modules.

  • Present solutions and trade-offs to customers, executives and R&D leadership in plain language, and lead workshops with senior customer stakeholders.

  • Keep process and product documentation current so that Support, Implementation and the wider R&D teamwork from one source of truth.

Skills and experience
Essential
  • 6+ years' Business Analysis experience delivering commercial software products (ERP experience highly regarded).

  • Proven ability to lead discovery, requirements gathering and solution design activities.

  • Strong stakeholder management skills and experience translating business needs into user stories, process flows and acceptance criteria.

  • Experience working in Agile delivery teams using Jira, Confluence or similar tools.

  • Working knowledge of data analysis and SQL.

  • Excellent written and verbal communication skills.

  • Experience using AI tools to improve productivity and delivery outcomes.

  • Commercially minded, customer-focused and confident challenging assumptions to deliver the right solution.

Desirable
  • Familiarity with AI-assisted development tools (requirements, coding or test agents in any harness) and with writing prompts or structured specs for them.

  • Exposure to reporting tools such as Power BI or DevExpress, and to API or integration requirements.

  • BABOK, CBAP, IIBA or agile BA certification.

  • Experience working with distributed teams across Australia and Sri Lanka.

What we offer

A genuine seat at the table reshaping how a mature software product is built, with AI tooling as part of the day job rather than a side experiment. Ownership of whole product areas, direct customer contact and visible impact on what ships.

Support for professional development, including BA certification and AI-tooling training.

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