Yêu cầu công việc
Required Experience
History of driving significant business impact through data insights and experimentation
5+ years of elite- level experience in product analytics, growth analytics, or data science at fast- moving tech companies or high- growth startups
Demonstrated mastery of SQL (MySQL dialect) and Python for complex analysis and ETL workflows
Professional English communication skills—both verbal and written
Expert- level understanding of statistical methods, A/B testing, and causal inference
Production experience with modern data stack (dbt, Airflow/Prefect, Looker/Mode, cloud data warehouses)
Proven track record of building instrumentation and analytics for self- serve SaaS or consumer products at scale
Essential Qualities
High ownership: You take full responsibility for data quality and business impact, not just deliverables
Product intuition: You naturally think like a product leader and can translate business questions into analytical frameworks
Exceptional problem- solving ability: You consistently find insights others miss and solve complex analytical challenges independently
Intellectual curiosity: You stay ahead of data trends and continuously expand your analytical toolkit
Technical excellence: You write clean, maintainable code and build systems that other engineers admire
Leadership mindset: You can influence without authority and drive consensus around data- driven decisions
Nice to Have
Data engineering background with end- to- end ETL ownership
Advanced statistical methods (Bayesian analysis, sequential testing)
Experience with LLMs, vector databases, or recommendation systems
Contributions to open- source data or ML tools
Background in mobile gaming, ad tech, or marketing analytics
Interview Process
Our streamlined interview process consists of 3 rounds:
Round 1: Initial Technical Screen (60 mins)
Technical background discussion with leadership
High- level experience and impact review
SQL and analytical problem- solving exercise
Round 2: Take- Home Analysis Project (1 week)
Opportunity to demonstrate your analytical excellence comprehensively
Real- world dataset related to our domain
Round 3: Project Review & System Design (90 mins)
Deep dive into your analysis approach and insights
Advanced analytical challenge
Data architecture and scalability discussion
Round 4: Final Leadership Conversation (60 mins)
Two- way Q&A about growth opportunities
Vision alignment with founders
Culture and team fit discussion
Note: This role is designed for elite data talent. If you&039;re not consistently recognized as among the most capable data professionals in your current organization, this position is likely not a good fit. We&039;re looking for candidates who can demonstrate exceptional analytical abilities and deliver outsized business impact.
We aim to complete the entire process within 2- 3 weeks.