Senior Manager, Data Analyst (eCommerce Product)
Taipei, Taiwan
Coupang
Join us to innovate. Rocket your career. Collaborate with teams across the globe. Find your role and learn more about our culture.Responsibilities
As a data analyst, you will be responsible for providing reports and insights that aid in management to ensure top-notch customer experience. By collecting the tens of billions of data points that are created as millions of customers use Coupang’s services, Product Analytics creates meaningful insights, seeks answers to complex business questions, and enable a better understanding of customer behavior.
• Create and provide new customer experience metrics and insights to ensure the best shopping experience for our customers.
• Collaborate with product managers, designers, program managers, engineers, and other stakeholders to make data-driven decisions.
• Create and manage weekly/monthly/quarterly business reports and work together with other teams to capture quality insights and present them to our stakeholders and leadership.
• Exert thought leadership as an ecommerce and fulfillment service analyst.
Qualifications
• expert SQL knowledge, with 7+ years’ work experience in data analytics
• experience in providing clear and actionable plans by analyzing data and insights
• ability to take work into your own hands with a sense of responsibility and exercise judgment to act in fast-paced and dynamic environment
• great ability to think critically and solve nonstructural problems
• strong communication skills to share analysis results clearly and concisely
• experience with big data tools like Hadoop, Spark, and Presto
• experience with BI tools like Power BI or Tableau
• bachelor’s degree in statistics or computer engineering or equivalent experience
Preferences
• 5+ years’ work experience as a software engineer
• experience with Python and R/SAS, or other statistical packages
• master’s degree in statistics or engineering or equivalent experience
• experience analyzing e-commerce and customer behavior logs
• Strong English skills (both verbal and written) are a plus but not a requirement.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data CX Data Analytics E-commerce Engineering Hadoop Power BI Python R SAS Spark SQL Statistics Tableau
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