Data Analyst

FYUL•Capon Bridge, WV

82d•Remote

About The Position

We are looking for a responsible and motivated Data Analyst to join our efforts in shaping the future of the print-on-demand industry. You'll work closely with the Product Marketing team — a smart, data-driven group that operates at the intersection of product, supply, sales, and acquisitions. This role goes far beyond reporting; you’ll dive into rich, diverse data to help shape campaigns, uncover what drives user success, and guide key decisions. Experience with both product and marketing analytics is essential, as your insights will directly influence strategy and performance measurement. You’ll level up fast by building production-grade analytics with state-of-the-art tools—Snowflake Intelligence, Streamlit in Snowflake, Amplitude, and more—gaining real ownership, mentorship, and impact at scale. In collaboration with our data engineers, you will define data models and ensure data quality through rigorous QA processes. You will work with Looker's analytical layer, defining explores, measures, and dimensions to support robust data exploration. Analyze internal, market, and customer levels of data regarding various business areas Translate data into actionable insights

Requirements

Bachelor’s degree in mathematics, physics, economics or a related quantitative field required
Strong written & verbal English communication skills
2 to 4 years of professional experience in data analysis
Demonstrated ability to present and clearly articulate summarized data analysis results
Advanced SQL skills and experience with Snowflake or similar data warehouses
Proficiency in Excel usage for data analysis
Hands-on experience with BI tools to create interactive dashboards and visualizations (Looker is a plus)
Solid understanding of data modeling and data quality principles

Nice To Haves

Hands-on experience with event tracking and product analytics tools is a plus
Knowledge of A/B testing and causal inference is a plus
Knowledge of machine learning models for business applications is a plus

Responsibilities

Act as a go-to data person within your respective team
Engage in product analytics, ops analytics and business analytics
Continuously improve your team's product features with suggestions from ad-hoc and regular data analysis

Benefits

A global, inclusive team that’s as supportive as it is ambitious and serious about getting things done
An opportunity to work remotely or in a modern
Flexible working hours (start your day as late as 11 AM)
Private health insurance
2 extra paid days off to focus on your mental or physical well-being
1 extra paid day off to celebrate a Birthday or any other celebration of your choice
Internal and external learning opportunities
Access to mentorship, internal meetups, and hackathons, both on-site and online
Design and order your own merch using our platforms with an employee discount
Exciting team-building events and parties you’ll never forget!