Data Analyst - Customer Lifetime Value (CLV)

Job description

DepartmentData Science
LevelExperienced (Individual Contributor)

The Data Science team drives the growth of Shopee by using scientific methods to power key business processes, and elevate our business models based on a deep understanding of the business strategy. We aim to serve our users better via best practices in AI Technology and Data Science Products and Services. This includes computer vision, natural language processing, general machine learning, knowledge graph, optimisation and more. Browse our Data Science team openings to see how you can make an impact with us.

About the Team:
Shopee's growth data team focuses on the long-term performance of users and is committed to associating users' long-term performance with short-term behaviour through scientific methods. Our team plays a critical role in improving business framework, evaluation system and customisation strategies. Data-driven and result-oriented are our values; helping business to achieve long-term goals is our mission. We always run fast with challenges and remain at the forefront of the industry.
Job Description:
  • Designing data indicator systems, establishing data analysis models, outputting data analysis frameworks and analysis reports in line with business needs, and assist business decisions.
  • Communicate with the product and business teams to understand business processes, provide insights based on business results.
  • Research industry trends and competition information, analyse the change trend of user demands, and diagnose business problems through multi-dimensional analysis, discovering risks, excavation opportunities, providing optimisation suggestions for business.
  • Provide data analysis and insights which can be translated to data-driven products.
  • Improve the intelligence of business team.
  • Bachelor or above in Computer Science, Information Technology, Statistics, Mathematics, and other related majors.
  • At least 2 years experience in data analytics.
  • At least 2 years experience in Python and SQL.
  • Self-starter with the ability to work in a fast-paced, performance-driven environment.
  • Strong problem solving, quantitative and analytical abilities - critical and logical thinking.
  • Passion for problem-solving, improving and/or implementing processes.
  • Highly motivated, structured and methodical with a high degree of initiative.
  • Able to work independently or cross functionally.
  • Compliance with the following conditions: Massive data processing experience with Hive, Hadoop, Spark and other platforms

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