Senior Data Analyst - Print-on-Demand (Remote, Flexible)

Fyul; United States; Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

Remote-friendly environment

Flexible hours

Private health insurance

Learning budget

Mentorship & hackathons

Team-building events

Employee merch discount

Birthday and wellbeing days off

Job summary

Fyul is seeking a responsible Senior Data Analyst to join our international, casual team focused on the print-on-demand space. You will handle diverse datasets and drive data-informed decisions across product, operations, and business analytics.

You will collaborate with data engineers to define data models, ensure data quality, and build Looker-based explorations and dashboards. Strong SQL, BI tooling, and English communication are essential.

Qualifications

• 4+ years of professional experience in data analysis.
• Strong written & verbal English communication.
• Advanced SQL skills and Snowflake or similar data warehouses.
• Proficiency in Excel for data analysis.
• Hands-on experience with BI tools to create dashboards.
• Solid understanding of data modeling and data quality.

Responsibilities

• Acting as a go-to data person within your respective team.
• Engaging in product analytics, ops analytics and business analytics.
• Continuously improving your team's product features with ad-hoc and regular data analysis.
• Analyzing internal, market, and customer data across business areas.
• Translating data into actionable insights.
• Collaborating with data engineers to define data models and ensure data quality.
• Working with Looker to define explores, measures, and dimensions for data exploration.

Skills

Advanced SQL

Snowflake

Excel

BI tools

Data modeling

Data quality

Event tracking

A/B testing

Product analytics

English communication

Education

Bachelor's degree in a quantitative field

Tools

Looker

Amplitude

Job description

Fyul is seeking a responsible Senior Data Analyst to join our international, casual team focused on the print-on-demand space. You will handle diverse datasets and drive data-informed decisions across product, operations, and business analytics.

You will collaborate with data engineers to define data models, ensure data quality, and build Looker-based explorations and dashboards. Strong SQL, BI tooling, and English communication are essential.