Data Product Specialist

3 weeks ago


Singapore Sea Full time

The Sea team is dedicated to creating engaging shopping experiences for millions of users across various regions. Our games feature aims to drive user interaction by incorporating game design elements and principles.

We collaborate closely with the business team to make daily Shopee visits more enjoyable and increase the effectiveness of marketing campaigns.

By exploring innovative game mechanics and technologies, such as Augmented Reality (AR) and Player-versus-Player (PVP), we aim to unlock diverse gameplay experiences for our users. The core objective of our team is to bring joy to users while generating value for the business through games.

Job Responsibilities

As a key member of our team, you will work closely with Product Managers to plan and evaluate feature development roadmaps using analytics.

  • Develop schema designs and tracking documents for new features
  • Provide insights into user behavior to identify areas for improvement
  • Design and conduct experiments to enhance feature usability
  • Create and maintain reports/dashboards to track key product metrics
Requirements

To excel in this role, you should possess:

  • 1-2 years of experience in analytic fields and data product design
  • A Bachelor's Degree in Data Analytics/ Statistics/ Mathematics or a relevant quantitative field
  • Data sensitivity and practical experience in data analysis and product application
  • Advanced knowledge of SQL with proven experience in formulating scalable solutions to product problems
  • A solid understanding of technical architecture and data infrastructure principles
  • Knowledge of data creation and consumption products (Spark, DataHub, etc.)
  • Familiarity with data visualization tools like Metabase (Tableau is a plus)
  • Strong written and verbal communication skills to influence strategy across teams
  • Experience in project management processes and driving projects from ideation to completion
  • Comfort with analytical tools like Python and R
  • Experience with ML products, including feature creation and/or model training
  • Familiarity with statistical methods, descriptive statistics, and inferential statistics
Estimated Salary: $120,000 - $180,000 per year

Please note that the salary range may vary based on location and individual qualifications. We offer competitive compensation packages to attract top talent.



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