Establish hypotheses and validate product improvements through A/B testing.
Propose key levers and strategies to achieve KPI targets for each product.
Build and improve taxonomies required for metric validation.
What they want
Hands-on experience with SQL for deep data analysis.
Experience working with cohort,retention,and LTV metrics.
Proven A/B testing experience (Bayesian or frequentist methods).
Nice to have
Understanding of causal inference (ITS,PSM-DID,etc.).
Knowledge of taxonomy design and implementation.
Experience building data marts with Airflow or dbt.
Seoulstart's read
Visa tier (likely)
E-7 specialty / professional (likely)
Korean language
Business-level Korean required
English friendliness
Medium: English JD, mixed-language workplace
Context
Wrtn is a high-growth AI consumer and enterprise platform company; Analytics team spans global products (Rutan,Crack in Korea; Charafu in Japan; OOC in North America/Europe) with exposure to international scaling. Korean business-level fluency needed for internal collaboration and stakeholder communication despite global product scope.
This is Seoulstart's analysis of the public job description, not the employer's stated policy. Verify visa sponsorship, language requirements, and remote allowances directly with the recruiter.