Own the metrics: Define, maintain, and continuously refine the core KPI system for the Content Team — covering content consumption, creator performance, user engagement, retention, and funnel conversion.
Build the data foundation: Design and maintain stable, scalable data pipelines, models, and reporting layers to support business decision-making with reliable, well-governed data.
Drive insight, not just reports: Proactively identify anomalies, trends, and opportunities through regular analysis — don't wait to be asked; surface findings before the business feels the problem.
Close the loop: Track the impact of content experiments and strategy changes end-to-end, from hypothesis → test → result → recommendation → follow-up.
Enable self-service: Build intuitive dashboards and data products that empower product managers and operations teams to answer their own questions.
Collaborate cross-functionally: Act as the data partner for Product and Operations — translate business questions into analytical problems and data insights into actionable decisions.
Ensure data quality: Govern data accuracy, consistency, and documentation; work with data engineering to resolve upstream issues proactively.
Requirements
3-5+ years in BI, data analytics, or a related role at an internet company.
Strong SQL skills; experience with big data tools (Hive, Spark, Presto) is a plus.
AI native analysis toolings experience.
Solid understanding of content metrics (DAU/MAU, CTR, duration time, funnel conversion, retention cohorts).
Strong logical thinking and structured communication — ability to tell a clear story with data to both technical and non-technical audiences.
High sense of ownership: you care about business outcomes, not just task completion.
Tech Stack
Spark
SQL
Benefits
Competitive salary and company benefits
Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)