Data Product Management (Games) - Sea Labs

at  Shopee

Department Product Management
LevelExperienced (Individual Contributor)
LocationIndonesia - Jakarta
The Product Management team at Shopee is the key focal point between the business, engineering and design teams. The team is responsible for implementing strategy, road maps and features, while adhering to business goals. It covers all functions including but not limited to Financial Services, Supply Chain, Search, Recommendation, Advertising, Order, Promotion, User, Anti-Fraud, Seller Service. Join us to own a product that is impacting millions of lives in Southeast Asia and Taiwan.

JOB DESCRIPTION:

Job Description

• Work closely with Product Managers in planning feature development roadmap and evaluating feature adoption through analytics.
• Provide schema design and tracking documents for new features
• Provide insights through in-depth understanding of user behavior to identify areas for improvement.
• Design and evaluate experiments to improve feature usability.
• Develop and maintain reports/dashboards to track key metrics of product performance.

REQUIREMENTS:

Requirements:

• Preferred 1 - 2 years of working experience in analytic fields and data product design
• A Bachelor’s Degree in Data Analytics/ Statistics/ Mathematics or a relevant quantitative field
• Data sensitive and practical experience in data analysis and product application
• Advanced knowledge in SQL with proven experience formulating scalable solutions to product problem
• Good understanding of technical architecture and data infrastructure principles
• Knowledge of data creation and consumption products (Spark, DataHub, etc.)
• Comfortable in using data visualization tools such as metabase (tableau is a plus)
• Strong written and verbal communication ability to influence and drive strategy across product, engineering, designer, and business team, have strong sense of mission and serving users, and self driven
• Experience in project management process and able to drive project from ideation to completion
• Comfortable in using analytical tools such as Python and R
• Experience with ML products including feature creation and/or model training
• Experience with statistical method, descriptive statistic, and inferential statistic

Please refer the Job description for details