Business Analyst II - PHL-RE Shared Services-Manila

Para lamang sa mga rehistradong miyembro PHL-RE Shared Services-Manila, Pilipinas

2 araw ang nakalipas

₱550,000 - ₱1,100,000 (PHP) bawat taon *

* Ang saklaw ng suweldo na ito ay isang pagtatantya na ginawa ng beBee

Business Analyst II supports AI and Automation initiatives across Business Units by assisting in the analysis, documentation, and testing of business processes and IT solutions. Guided by the Senior OPEX Manager, this role contributes to the successful delivery of projects aligne ...

Paglalarawan ng trabaho

Accountabilities:

Document before and after process maps during current state analysis and process discovery sessions
Pipeline Management and Qualification of AI and Automation projects
Analyze and document business requirements and workflows
Develop system specifications, process flows, and data conversion strategies
Create user documentation for technical and functional use
Adhere to established processes, protocols, and quality standards
Manage stakeholder expectations and escalate issues as needed
Build trust with stakeholders through clear communication and reliable execution

Qualifications:

Bachelor's degree in Engineering, Computer Science, or a related IT discipline
At least 2 years of IT business analyst experience
Internal applicants must be a Certified Automation Practitioner
Perform current and future-state process mapping and opportunity assessment
Ability to gather requirements and translate them into user stories or functional specs, especially for AI, RPA, and automation initiatives
Good experience of SDLC and Development tools/platforms such as Power Automate, Power Apps, Power BI, Python, SharePoint
Moderate project management, change management, facilitation skills and foundational communication abilities
Proficiency in Microsoft Office Suite
Familiarity with Gen AI tools such as Copilot Studio, preferred.
Experience with report generation and e-learning content creation tools (e.g., Easygenerator), preferred.
Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives.

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