Senior Data Analyst

In November 2024, Printful and Printify came together as two equals and merged to form a global on-demand powerhouse. This role will involve working across our two platforms and brands, a unique and special challenge. To learn more about the merger, check out our blog post.

About Us

Both Printify and Printful are pioneering production on-demand companies and platforms established in Latvia but with a global customer base.

Printify is bringing the dream of financial freedom and business ownership to the world by connecting e-commerce entrepreneurs with over 100 print-on-demand facilities around the globe. 

Printful has built world-class in-house production facilities and helps people to build their brands, empowering thousands of businesses—including iconic names like Coca-Cola and MTV. 

About the Role

We are looking for a responsible and hard-working Senior Data Analyst to join our efforts in taking over the print-on-demand industry. You would work in an international environment with talented teammates in a casual atmosphere. You’ll have your hands on very rich and diverse data related to the print-on-demand universe.

Your Daily Tasks Will Entail:

• Act as a go-to data person within your respective team

• Continuously improve your team's product features with suggestions from ad-hoc and regular data analysis

• You will help develop monitoring and alerting tools for operations teams, enabling proactive incident detection and prevention.

• 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

Your Qualifications:

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

• Strong written & verbal English communication skills 

• 4+ years of professional experience in data analysis

• Demonstrated ability to present and clearly articulate summarised 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

• Hands-on experience with event tracking and product analytics tools (Amplitude is a plus)

• Strong knowledge of A/B testing and causal inference

• Knowledge of machine learning models for business applications is a plus