Senior Data Analyst

<p><b><span>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<span> </span></span><a href="https://www.printful.com/news/merger" rel="noopener noreferrer" target="_blank"><u>blog post.</u></a></b><br/> </p><h1><b><b>About Us:</b></b><br/> </h1><p><span>Both Printify and Printful are pioneering production on-demand companies and platforms established in Latvia but with a global customer base.</span></p><p></p><p><span>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. </span></p><p></p><p><span>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. </span></p><p></p><p><span>Our team is at the heart of our success. You’ll be part of a culture where everyone is respected, included, and encouraged to grow. We value continuous learning, uphold a high work ethic, and have fun along the way.</span></p><h1></h1><h1><b>About The Role: </b></h1><p></p><p><span>We are looking for a responsible and motivated </span>Senior Data Analyst<span> to join our efforts in shaping the future of the print-on-demand industry. </span></p><p><span>You'll work closely with the </span>Product Marketing<span> 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.</span></p><p><span>Experience with both product and marketing analytics is essential, as your insights will directly influence strategy and performance measurement.</span></p><p></p><h1><b>Your Daily Tasks Will Entail:</b></h1><h1></h1><ul><li><p><span>Acting as the go-to data partner for the Product Marketing team, providing actionable insights that influence strategy and execution</span></p></li><li><p><span>Collaborating on projects, campaigns, and experiments from day one to guide goal setting, KPI definition, and performance measurement</span></p></li><li><p><span>Analyzing data related to product discounts, incentives, educational campaigns, and user behavior to uncover impactful insights</span></p></li><li><p><span>Translating complex findings into clear, compelling stories that drive informed decision-making across the team</span></p></li><li><p><span>Defining data models in collaboration with data engineers and ensuring high data quality through rigorous QA processes</span></p></li><li><p><span>Building and maintaining Looker dashboards, explores, measures, and dimensions to enable self-serve, insightful analysis</span></p></li><li><p><span>Continuously improving the Product Marketing data stack and tooling to enhance visibility into key metrics</span></p></li><li><p><span>Supporting the team in becoming more data-sufficient by identifying training opportunities and simplifying access to data</span></p></li></ul><p></p><h1><b>Your Qualifications:</b></h1><ul><li><p><span>Bachelor’s degree in a quantitative field (e.g., Mathematics, Economics, Statistics, Data Science, Physics, Computer Science)</span></p></li><li><p><span>4+ years of experience in data analytics, ideally with a focus on product and marketing</span></p></li><li><p><span>Strong English written &amp; verbal communication skills, with the ability to clearly translate complex data into actionable insights for both technical and non-technical audiences</span></p></li><li><p><span>Proficient in SQL, with experience using Snowflake or similar data warehouses</span></p></li><li><p><span>Skilled in building dashboards and visualizations with BI tools (Looker is a plus)</span></p></li><li><p><span>Comfortable working with Excel and Google Sheets for data analysis</span></p></li><li><p><span>Solid grasp of data modeling and data quality best practices</span></p></li><li><p><span>Experience in product analytics, event tracking tools (Amplitude is a plus), and  A/B testing</span></p></li><li><p><span>Ability to apply advanced statistical techniques and causal inference methods to real-world business problems</span></p></li><li><p><span>Experience with Python for data analysis</span></p></li><li><p><span>Exposure to machine learning for business use cases</span></p></li></ul><p></p><h1><b>What We Offer:</b></h1><ul><li><p>Free and healthy lunch if you work from the office</p></li><li><p>Design and order your own merch using our platforms with employee discount</p></li><li><p>Be part of a friendly, inclusive, and global team</p></li><li><p>An opportunity to work remotely or in a modern and welcoming office in Riga</p></li><li><p>Flexibl