AI-Driven Business Analyst: Automations & Insights

St Trinity Property Group

Cebu City

Sur place

PHP 600 000 - 900 000

Plein temps

Il y a 3 jours
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Résumé du poste

St Trinity Property Group is seeking a Business Analyst to connect systems, data and processes, from requirements to automation, reporting and training. The role centers on AI-enabled workflows,BRD/functional specs, and hands-on data quality across CRM and operations.

The candidate will run workshops, map current and future states, and translate business needs into system designs, while delivering training and governance for AI-enabled improvements across the tech stack.

Qualifications

  • 3–5 years in a business analyst role covering functional and technical BA work
  • Demonstrated daily use of AI tools to accelerate analysis, documentation and build work
  • Hands-on experience building AI-powered automations via APIs, prompts and low-code tools
  • Strong data skills: Excel/Sheets, SQL and BI tools
  • Excellent written and spoken English

Responsabilités

  • AI-led delivery: use AI tools daily to speed up requirements, documentation and testing
  • Design and deploy AI-powered workflows and integrations
  • Write, test and maintain prompts and templates; evaluate AI output for accuracy
  • Map processes and translate needs into system configurations
  • Build dashboards, KPIs and recurring reports
  • Plan and deliver system and process projects end to end
  • Create SOPs, user guides and training materials
  • Lead and mentor analysts and admins

Connaissances

AI-first
Business analysis
Requirements gathering
Process mapping
Data analysis
SQL querying
BI tools
Stakeholder mgmt
Training delivery
Team mentoring

Outils

Zoho CRM
Jira
Make.com
Zoho Flow

Description du poste

St Trinity Property Group is seeking a Business Analyst to connect systems, data and processes, from requirements to automation, reporting and training. The role centers on AI-enabled workflows,BRD/functional specs, and hands-on data quality across CRM and operations.

The candidate will run workshops, map current and future states, and translate business needs into system designs, while delivering training and governance for AI-enabled improvements across the tech stack.

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