Business Analyst at ISENTIA BRANDTOLOGY PTE LTD

Pasig, Metro Manila, Philippines -

Full Time

Start Date

Immediate

Expiry Date

27 Aug, 26

Salary

0.0

Posted On

29 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Business Analysis, Product Sense, BPMN, Requirement Gathering, Confluence, JIRA, Prompt Engineering, AI Model Evaluation, Agile, SDLC, SaaS, Stakeholder Management, Data Analysis, Test Planning, Smoke Testing, Workshop Facilitation

Industry

Public Relations and Communications Services

Description

About the Role Are you a sharp analytical thinker who thrives at the intersection of business strategy, product development, and cutting-edge technology? We are looking for a Business Analyst to act as the vital bridge between our business stakeholders and technology teams. In this role, you won’t just document processes—you will apply a strong product sense to review products, analyze complex requirements, and identify key features that drive immense value. You will collaborate deeply with cross-functional teams to implement data-driven solutions, spot system enhancement opportunities, and drive operational efficiency. Additionally, you’ll be a key ally to our product team, actively supporting them with requirement gathering, workshops, testing, and translating big ideas into crisp technical requirements for our developers. Key Responsibilities & Accountabilities 1. Process Analysis, Requirement Gathering & Product Support Product Evaluation & Feature Identification: Apply a strong product sense to review existing products, identify key features, and analyze requirements to support broader product strategy—whether through continuous enhancements, evolutionary iterations, or other lifecycle changes. Requirements Elicitation & Support: Collaborate with business stakeholders through workshops to gather and elaborate on requirements. Support the Senior Product Manager and Product Analyst with requirement gathering and writing clear, actionable requirements for development teams. Business Process Modelling: Apply BPMN to model, analyze, and improve business processes, identifying inefficiencies and enhancement opportunities. Workshop Facilitation: Support and facilitate structured workshops to engage stakeholders, gather requirements, and validate solutions. Co-Design and Co-Develop: Work closely with technical designers and build teams to ensure requirement feasibility by asking the right questions and employing critical thinking. Tech-to-Business Translator: Act as a core liaison between business stakeholders and technical delivery teams, ensuring crystal-clear communication of requirements. Requirements Management: Utilize Confluence to document, track, and manage requirements throughout the project lifecycle. 2. Data Analysis, AI & Quality Assurance Data-Driven Solutions: Analyze complex datasets to recommend data-driven solutions that improve overall organizational efficiency. AI Model Evaluation: Analyze large datasets specifically to grade AI model performance and accurately calculate results. AI & Prompt Engineering: Utilize hands-on prompt engineering skills to actively support ongoing AI development and implementation. Quality Assurance Support: Support the Senior Product Manager and Product Analyst with comprehensive testing initiatives. Test Planning & Execution: Create detailed, structured test plans and complete thorough smoke testing for product releases. 3. Contributing to the Success of a High-Performing Team Team Collaboration: Regularly facilitate team meetings to surface issues, share knowledge, celebrate achievements, and ensure an accurate transfer of information to the product team. Leadership & Synergy: Provide training and direction where needed, while developing strong and effective working relationships across the entire product team. Cross-Business Communication: Effectively communicate information and insights to the team, ensuring successful, seamless communication with all areas of the business. Role Requirements Education & Industry Experience Education: A relevant and applicable Bachelor’s Degree. Core Experience: Proven experience in a dedicated Business Analysis function or role. SaaS Expertise: Deep experience working in software, particularly with SaaS platforms. Stakeholder Success: Demonstrated success working with and managing a diverse set of internal and external stakeholders to validate features, test assumptions, and manage expectations. Project Management: Proven ability to independently manage projects from inception to completion. Technical Skills & Methodologies AI Experience: Hands-on experience working on projects implementing AI solutions, with specific exposure to prompt engineering or agentic workflows. Workflow & Documentation Tools: Proficiency in Requirements Management Software (Confluence) and workflow tools (JIRA). Process Mapping: Practical experience with Business Process Modelling Notation (BPMN). Methodologies: Solid understanding of software development methodologies (Agile, SDLC, Lean, Scrum, or similar). Language & Communication Flawless English Fluency: Excellent verbal and written communication skills are a non-negotiable. Because you will be working directly with AI models, you must deeply understand how the subtleties, syntax, and nuances of language are interpreted by machines. Personal Qualities (Who You Are) Product-Minded: Demonstrates a naturally strong product sense, robust analytical thinking, and a detail-oriented approach to complex problem-solving. Agile & Self-Motivated: Highly self-motivated, adaptable, and thrives when navigating ambiguity in a fast-paced environment. Continuous Learner: Possesses an insatiable curiosity and a deeply ingrained commitment to ongoing learning. You recognize that staying adaptable within the rapidly evolving AI landscape is paramount to driving long-term innovation.

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Responsibilities

Acts as a bridge between business stakeholders and technical teams to translate requirements into actionable technical specifications. Responsibilities include process modeling using BPMN, evaluating AI model performance, and supporting product development through testing and data analysis.