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OpusClip is the world's leading AI video agent for creators and businesses, with 10M+ users and $50M in funding from top-tier investors including SoftBank Vision Fund and DCM Ventures. The company is headquartered in Mountain View with a 100-person team of AI and video experts.
As a Data Analyst, you'll be the bridge between OpusClip's data and its business teams. You'll work closely with the Data Science team and partner with Product, Customer Experience, Marketing, and other departments to make data more useful, reliable, and accessible across the organization.
Key responsibilities include:
**Dashboards & Reporting**: Review and improve existing Superset dashboards and recurring reports. Build and maintain dashboards that give teams clear visibility into product usage, customer behavior, and business performance. Work with stakeholders to define metrics, monitor key dashboards for data-quality issues, and iterate based on user feedback.
**Business & Product Analysis**: Partner with cross-functional teams to translate business questions into structured analyses. Analyze user behavior, feature adoption, conversion, retention, and the customer journey. Support post-launch analysis to validate whether product changes achieved their goals. Own small-to-medium analytical projects end-to-end, from clarifying questions through communicating findings.
**Data Practices**: Document metrics, dashboards, tables, business definitions, and data owners. Identify and help fix outdated reporting logic. Follow and contribute to standards for naming, documentation, validation, and data quality. Escalate data-quality and pipeline issues clearly to technical owners.
**Collaboration**: Explain findings clearly to both technical and non-technical teammates. Gather regular feedback from teams using your analysis. Share progress, assumptions, and limitations openly. Work across US and Asia time zones.
You'll need 1–3 years of analytics experience (product analytics, business intelligence, or related roles), strong SQL skills, experience with dashboard tools (Superset, Tableau, Looker, Power BI), solid analytical thinking and basic statistics, and clear communication skills. Nice-to-haves include SaaS/B2C/startup experience, product analytics tools (Mixpanel), Python/R, A/B testing, and interest in creator tools.
