Senior Data Analyst

Job not on LinkedIn

May 14

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Logo of Printful

Printful

eCommerce • B2B • B2C

Printful is a company that provides a platform for entrepreneurs and businesses to create and sell custom on-demand products without the need to hold inventory. With a focus on high-quality production and fast delivery, Printful enables users to turn their ideas into reality and grow their brands successfully. The company prides itself on offering higher profit margins compared to competitors and a reliable production process, with most orders produced within 1-3 business days. With a commitment to quality, Printful has shipped millions of items, gaining trust from some of the world’s biggest brands.

1001 - 5000 employees

Founded 2013

🛍️ eCommerce

🤝 B2B

👥 B2C

💰 Private Equity Round on 2021-05

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Be part of a friendly, inclusive, and global team • An opportunity to work remotely or in a modern and welcoming office in Rīga or Tallinn, or our co-working space in Barcelona • Flexible working hours (start your day as late as 11 a.m.) • Health insurance • Access to mentorship, internal meetups, and hackathons both on-site and online • Exciting team-building events and parties you’ll never forget! • Free and healthy lunch if you work from the Rīga office • Design and order your own merch using our platforms with employee discount • Apple MacBook laptop as your standard work equipment.

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