Drive product growth across international markets using data, experimentation, and cross-functional collaboration. Analyze large datasets and guide product decisions. Collaborate with diverse teams across multiple time zones.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Role Overview:
This role focuses on driving product growth across international markets. You will use data, experimentation, and cross-functional collaboration to understand global user needs and shape strategies that deliver localized product experiences at scale. The position requires strong analytical skills, business intuition, and the ability to work with diverse teams across multiple time zones.
Key Responsibilities
- Track and measure international product growth initiatives through goal-setting, forecasting, and monitoring of key performance metrics.
- Use quantitative analysis, experimentation, and data mining to uncover market trends and guide product decisions.
- Analyze large, complex datasets using statistical and analytical techniques to solve broad, impactful problems.
- Collaborate with product, engineering, design, research, and growth teams to support and execute global product growth strategies.
Core Skills
- Analytics & Technical: Proficiency in SQL, Python, or R for data manipulation and analysis. Ability to design and interpret analytical work that informs product strategy.
- Product & Growth Understanding: Familiarity with global product growth frameworks and user acquisition, retention, or monetization strategies.
- International Insight: Experience working with global markets or exposure to diverse cultural and regional user behaviors.
- Cross-Functional Communication: Ability to translate complex analyses into clear recommendations for both technical and non-technical audiences.
Qualifications
- Bachelor’s degree in a technical field or equivalent experience.
- 3+ years of analytics experience (or 2+ with a Master’s degree).
- Experience working with globally distributed teams and multiple time zones.
- Strong SQL skills and understanding of A/B testing and experimentation principles.
- Ability to independently analyze ambiguous, open-ended problems.