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FYUL (formed in 2024 through the merger of Printful, Printify, and Snow Commerce) is a fast-growing global company powering on-demand commerce at scale. The company helps creators and brands turn ideas into beautiful products, serving everyone from solo creators to entertainment giants.
You will join as a Senior Data Analyst, acting as the go-to data person within your team in an international, casual environment. Your responsibilities include:
• Engaging in product analytics, ops analytics, and business analytics across the organization
• Continuously improving team product features through ad-hoc and regular data analysis
• Analyzing internal, market, and customer-level data across various business areas
• Translating data into actionable insights and presenting findings clearly
• Building production-grade analytics using state-of-the-art tools (Snowflake, Streamlit in Snowflake, Amplitude, Looker)
• Collaborating with data engineers to define data models and ensure data quality through rigorous QA
• Working with Looker's analytical layer to define explores, measures, and dimensions for robust data exploration
You'll gain real ownership, mentorship, and impact at scale while leveling up fast in a supportive, ambitious team.
The role offers remote work with flexible hours (start as late as 10 AM), private health insurance, 2 extra paid mental/physical wellness days, 1 extra birthday/celebration day, learning budget, mentorship and internal meetups, team-building events, and employee discounts on company products.
**Requirements:**
• Bachelor's degree in mathematics, physics, economics, or related quantitative field
• At least 4 years of professional experience in data analysis
• Advanced SQL skills and experience with Snowflake or similar data warehouses
• Strong written and verbal English communication skills
• Demonstrated ability to present and clearly articulate summarized data analysis results
• Proficiency in Excel for data analysis
• Hands-on experience with BI tools to create interactive dashboards and visualizations (Looker preferred)
• Solid understanding of data modeling and data quality principles
• Hands-on experience with event tracking and product analytics tools (Amplitude preferred)
• Hands-on experience with A/B testing and causal inference
