Remote Position
[Remote] Senior Analytics Engineer (Mandarin Speaker)
🌍 Remote · United States
💼 Full-time
Note: The job is a remote job and is open to candidates in USA. The client is a fast-growing consumer social platform that enables users to discover and create interactive mini-apps using AI. The Senior Analytics Engineer will build the data modeling and analytics layer, define company-wide metrics, develop dashboards and self-service data products, and establish data quality standards in partnership with product, engineering, growth, and leadership teams.
Responsibilities
- Designing and maintaining core analytics data models that transform raw events and logs into clean, trusted, analysis-ready tables
- Defining and operationalizing company-wide metrics – DAU, retention, creator supply, content engagement, funnel conversion, and growth efficiency
- Building dashboards and self-serve data products that help teams track product performance and diagnose issues quickly
- Partnering with product and engineering to improve event taxonomy, instrumentation quality, and data consistency across app, web, and backend
- Establishing data quality standards, testing, documentation, and freshness checks so the team can trust the numbers
Skills
- 4 - 10 years of experience in analytics engineering or data engineering (Mandatory)
- Built data models from raw events at a VC-backed startup or reputable consumer company (e.g., TikTok, Instagram, Snap) (Mandatory)
- Advanced SQL proficiency for designing reusable canonical data models (Mandatory)
- Experience with BigQuery, Snowflake, or similar modern warehouses (Mandatory)
- Experience at a consumer social, gaming, or creator platform (Nice-to-have)
- Built analytics engineering function at early-stage startup (Nice-to-have)
Benefits
- Equity
- Fully remote role for US-based candidates
Company Overview