Business Analyst (Client Experience, AI/ML)

Location: Hybrid in Pasay, Manila, Philippines; at least 3 days in the office, with specific expectations confirmed by the Hiring Manager.

Company

Global payments technology company facilitating transactions between consumers, merchants, financial institutions, and government entities across more than 200 countries and territories.

What you will do

• Support Client Experience Net Promoter Score (NPS) survey initiatives in partnership with Client Services leadership, Go-to-Market Services, Client Care, regional Client Services leaders, Technology teams, and survey vendors.
• Use data analytics to provide actionable insights for improving NPS survey management and returns.
• Manage projects, address issues, and lead process improvements.
• Develop executive communications that clearly explain the state of Client Experience surveys.
• Participate in related AI and machine learning projects aimed at improving customer experience.

Requirements

• At least 2 years of work experience with a Bachelor’s Degree or an Advanced Degree such as a Master’s, MBA, JD, MD, or PhD.
• Experience managing projects and time, introducing innovative ideas and processes, setting and accomplishing goals to high standards, taking initiative, working independently, and owning outcomes.
• Experience adapting to shifting priorities and challenges.
• Experience managing relationships with key stakeholders and peers.

Nice to have

• Expertise in data analytics using AI and machine learning models.
• At least 3 years of work experience with a Bachelor’s Degree, or more than 2 years of work experience with an Advanced Degree such as a Master’s, MBA, JD, or MD.
• Experience with content standards, style guides, and templates.
• Ability to analyze the impact of product changes and feature launches on business processes and related knowledge.
• Python experience for production-quality machine learning code that is clean, testable, and modular.
• Knowledge of data structures, algorithms, and computational complexity fundamentals.
• SQL experience for extraction, joins, and feature pulls.
• Ability to build and maintain data pipelines supporting machine learning workflows.

Culture & Benefits

• Work that aims to create impact at scale for customers, communities, and the broader world.
• Hybrid work arrangement with at least 3 days in the office.
• Equal employment opportunity regardless of race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status, or applicable criminal history considerations.