Business Intelligence Manager, Content

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
About Binance Square
Binance Square aims to be the one-stop social platform for the latest trends in Web3 and crypto. With a vast selection of content from renowned crypto experts, avid enthusiasts, and trusted media sources, the platform serves as a bridge between content creators and their followers, customizing users’ feeds based on their respective engagement history. Join us to be part of a team that is shaping the future of social interaction in the crypto space.
We're looking for a sharp, business-minded BI Analyst to embed within our Content Team. You won't just build dashboards — you'll own the data layer that drives content strategy decisions. You'll work end-to-end: from defining metrics, building data models, and designing self-serve reporting infrastructure, to uncovering insights that directly influence editorial direction, distribution strategy, and audience growth.

Job Description:

• 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.

Job Requirement:

• 8-10 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.