обновлено 7 дней назад
Director of Data Analytics (Fintech)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Director of Data Analytics (Fintech): Building and scaling analytics, reporting, and measurement capabilities for Rocket Pay with an accent on experimentation, machine learning evaluation, and data-informed product and commercial decisions. Focus on defining analytics strategy, translating ambiguous business challenges into structured recommendations, and leading a high-impact analytics and data infrastructure team.
Location: Seoul, South Korea
Company
's fintech business develops payment, wallet, credit card, and liquidity solutions for consumers, sellers, and restaurants in Korea and Taiwan.
What you will do
- Define and execute the analytics strategy and roadmap for Rocket Pay.
- Build scalable analytics, reporting, measurement, and automation capabilities.
- Partner with Product, Engineering, and business leaders to identify opportunities and prioritize high-impact initiatives.
- Develop success metrics and measurement frameworks for product, customer, and commercial performance.
- Lead experimentation, evaluate machine learning models, and translate results into business actions.
- Build, coach, and develop a high-performing team across analytics and data infrastructure.
Requirements
- 10+ years of experience in analytics, data science, decision science, business intelligence, or related quantitative fields.
- Experience scaling measurement frameworks, reporting capabilities, experimentation programs, and analytical solutions.
- Strong SQL and Python proficiency.
- Strong knowledge of experimentation design, causal inference, and statistical analysis.
- Experience partnering with executive leadership and influencing senior stakeholders through analytical insights.
- Experience leading analytics, data science, and/or data engineering teams.
Nice to have
- Experience in fintech, payments, e-commerce, marketplaces, or high-growth technology companies.
- Experience building analytics organizations in rapidly scaling businesses.
- Experience influencing product strategy and business direction through data-driven insights.
- Advanced degree in Statistics, Economics, Computer Science, Engineering, Mathematics, or a related quantitative discipline.
Culture & Benefits
- Full-time regular employment position.
- Includes a 12-week probation period, which may be skipped, shortened, or extended according to business needs.
- Work closely with Product, Engineering, and senior business leadership in a fast-moving fintech environment.
Hiring process
- Application review.
- Phone interview.
- Onsite or virtual onsite interview followed by an offer.
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