Job Description
We are looking for a Product Data Operations Specialist specializing in live streaming. This role is responsible for building key indicator systems, conducting in-depth analysis of full-chain operational data, and identifying problems and growth opportunities. By collaborating with cross-functional teams, you will promote data-driven refined operational strategies to enhance user engagement and conversion efficiency.
Key Responsibilities
- Responsible for data analysis of products related to live streaming business, building a data indicator system, and gaining a deep understanding of key metrics in live streaming scenarios (e.g., UV, dwell time, conversion rate, GMV, interaction rate).
- Track the operational data of the entire live streaming chain, identify problems and growth opportunities, and drive product and operational optimization.
- Collaborate with multiple teams including product, content, technology, and anchor operations to develop refined operational strategies based on data insights.
- Design and drive data-driven operational projects, such as content recommendation optimization, traffic scheduling, and user segmentation operations.
- Output regular data analysis reports to provide a basis for business decisions and develop sustainable growth operational strategies.
Required Skills & Qualifications
- 2+ years of experience in data analysis, preferably in live streaming or digital content platforms.
- Strong analytical skills with expertise in building data indicator systems and interpreting key metrics.
- Proficiency in data analysis tools (e.g., SQL, Python, Excel) and visualization tools (e.g., Tableau, Power BI).
- Experience collaborating with cross-functional teams (product, content, technology) to drive operational improvements.
- Excellent problem-solving skills with the ability to identify growth opportunities from complex datasets.
- Strong communication skills to present data insights and influence decision-making.
Preferred Qualifications
- Experience in live streaming platforms or e-commerce ecosystems.
- Knowledge of user behavior analysis and A/B testing methodologies.
- Familiarity with machine learning concepts for content recommendation systems.
