Senior Data Analyst — Remote Product Analytics Leader

Fyul; Polska; Remote; PLN 150,000 - 210,000; Full time

Benefits offered by this job

Remote work

Flexible hours

Private health insurance

Wellbeing days off

Birthday day off

Learning budget

Mentorship & meetups

Job summary

Fyul is seeking a Senior Data Analyst to join our fast-growing team, focusing on print-on-demand analytics in an international environment with a casual atmosphere.

You will work with rich data, build production-grade analytics using Snowflake, Looker, and Streamlit, and collaborate with data engineers to define models and ensure data quality. Remote-friendly with flexible hours and learning budget.

Qualifications

• Bachelor's degree in mathematics, physics, economics or a related quantitative field.
• At least 4 years of professional experience in data analysis.
• 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 (Looker is a plus).
• Solid understanding of data modeling and data quality principles.
• Hands-on experience with event tracking and product analytics tools (Amplitude is a plus).
• Hands-on experience with A/B testing and causal inference.

Responsibilities

• Act as go-to data person within your team.
• Engage in product analytics, ops analytics and business analytics.
• Continuously improve your team's product features with data analysis.
• Analyze internal, market, and customer data across various business areas.

Skills

Advanced SQL

Product analytics

Data storytelling

Data visualization

Education

Bachelor’s degree in mathematics, physics, economics or related quantitative field

Tools

Snowflake

Looker

Excel

Job description

Fyul is seeking a Senior Data Analyst to join our fast-growing team, focusing on print-on-demand analytics in an international environment with a casual atmosphere.

You will work with rich data, build production-grade analytics using Snowflake, Looker, and Streamlit, and collaborate with data engineers to define models and ensure data quality. Remote-friendly with flexible hours and learning budget.