Responsibilities
- Drive Data Discovery: Use SQL and Python to navigate large datasets, identifying patterns and opportunities that drive product growth.
- Master the Metrics: Interpret and refine KPIs with a clear understanding of statistical significance and expected targets.
- Technical Advocacy: Act as a trusted advisor to both internal teams and external clients, translating complex technical insights into actionable product strategies.
- Shape the Product: Work closely with Engineering and Product teams to ensure our data-driven culture is reflected in every feature we launch.
- Visualization & Storytelling: Transform complex requirements into intuitive dashboards and visualizations that simplify decision-making.
Requirements
- A strong background in a quantitative field (such as Engineering, Math, Physics, Economics, or Computer Science) is highly valued.
- 2+ years of experience in Solutions Architecture and Technical Strategy, with a focus on leveraging customer-facing technical requirements to build data-driven frameworks for product growth.
- Proficiency in SQL is essential.
- Exceptional ability to communicate technical concepts to both technical and non-technical audiences in Advanced/Fluent English.
Nice to Have
- Experience with Python for data analysis and statistical modeling is a significant plus.
- Familiarity with BI tools (Metabase is a plus) and a knack for creating clear, impactful reports.
Work Arrangement
Remote (Worldwide)
Team
Team size: 6 major hubs worldwide, and employees in 13+ countries
Additional Information
- Comfort in dealing with external stakeholders and a proactive attitude toward solving their challenges.
