About the job
Coupang is transforming the shopping landscape with a commitment to delivering exceptional experiences to our customers at every touchpoint, from the moment they launch the Coupang app to the instant their orders arrive at their doorstep. Our offerings in Taiwan include 'Rocket Delivery', providing next-day delivery on a wide array of products at competitive prices, and 'Rocket Oversea', which ensures free international shipping on millions of top-selling items from Korea, the U. S., and beyond.
We invite talented individuals to join us in leading Coupang's growth in Taiwan. This is a remarkable opportunity to be part of our expansion journey and help create a reality where customers ask themselves, 'How did I ever live without Coupang?'
Role Summary:
As the Manager of Analytics & Data Science focusing on Growth Marketing, you will utilize data to generate actionable insights and analyses. Collaborating closely with Growth Marketing teams, your goal will be to enhance impact across the customer journey. Join us in crafting a remarkable experience for our customers.
This position offers the chance to be part of a diverse, dynamic team dedicated to driving growth. As part of an early-stage international expansion team, you will gain a comprehensive view of the aggressive growth trajectory of our e-commerce business. We seek a proactive Senior Manager of Analytics & Data Science who thrives in a fast-paced environment and is committed to delivering results.
Key Responsibilities:
- Interpret business goals and translate them into technical challenges to be addressed through Analytics, Data Science, and BI reporting.
- Act as a player-coach to drive value across various Growth Marketing channels, including Paid, CRM, On-Site Merchandising, and Product.
- Collaborate closely with Growth Marketing teams to offer actionable insights and recommendations, regularly presenting findings to leadership and stakeholders.
- Develop and maintain automated dashboards and data pipelines, creating and automating new datasets for comprehensive reporting.
- Engage with omnichannel attribution measurement frameworks that promote customer growth and incrementality.
- Design and implement experiments and A/B tests to evaluate marketing initiatives, applying statistical rigor and causal inference to measure effectiveness.
- Construct machine learning models to aid in decision-making and optimization, working closely with Data Science and Growth Marketing teams to deploy impactful ML solutions.
