6 дней назад
Client Services CX Analyst (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Client Services CX Analyst (AI/ML): Supporting Client Experience NPS survey initiatives and developing data-driven insights to improve survey management and customer experience with an accent on analytics, project management, and executive communication. Focus on building ML-enabled workflows, maintaining data pipelines, and translating survey results into actionable improvements.
Location: Pasay, Manila, Philippines; at least 3 days in the office
Company
is a global payments technology company facilitating transactions among consumers, merchants, financial institutions, and government entities.
What you will do
- Support Client Experience Net Promoter Score (NPS) survey initiatives in partnership with Client Services, Go-to-Market Services, Client Care, regional leaders, technology teams, and survey vendors.
- Analyze data and provide actionable insights to improve NPS survey management and response rates.
- Manage projects, address issues, and lead process improvements.
- Develop executive communications that clearly explain the state of Client Experience surveys.
- Contribute to AI and machine learning projects focused on improving customer experience.
Requirements
- At least 2 years of work experience with a bachelor's degree or an advanced degree.
- Experience with project and time management, process improvement, goal setting, and independent ownership of outcomes.
- Experience with team building, coaching, performance management, and delegating responsibilities.
- Experience managing relationships with key stakeholders and peers, as well as developing content and maintaining knowledge documentation.
- Experience with documentation and knowledge management tools.
- Ability to work in the office at least 3 days per week, with the schedule confirmed by the hiring manager.
Nice to have
- Expertise in data analytics using AI and machine learning models.
- Python skills for production-quality machine learning code, including clean, testable, and modular development.
- Knowledge of data structures, algorithms, computational complexity, and SQL for data extraction, joins, and feature pulls.
- Experience building or maintaining data pipelines for machine learning workflows.
- Experience with content standards, style guides, templates, and assessing the impact of product changes on business processes and knowledge.
Culture & Benefits
- Work on payments technology used across more than 200 countries and territories.
- Collaborate with cross-functional business, technology, leadership, and external survey teams.
- Contribute to initiatives designed to improve customer experience at scale.
- Work in an environment focused on innovation, ownership, adaptability, and measurable impact.
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