Senior Data Analyst - Printful

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

What We Offer:

Be part of a friendly, inclusive, and global team

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