Data Analytics Team Lead

🕒 May 8

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FYUL

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🛍️ eCommerce

☁️ SaaS

🤝 B2B

eCommerce • SaaS • B2B

FYUL is a merged on-demand manufacturing and technology company formed from Printful and Printify that powers brands, creators, and entertainment companies to design, produce, and sell merchandise globally. It provides a technology platform and fulfillment network (including the Snow Commerce end-to-end merchandise solution) that enables businesses to launch and scale merch with on-demand production, fulfillment, and commerce integrations.

📋 Description

• Lead a team of up to 4 data analysts working with product and business teams across our Supply domain • Guide the data analysis work across a wide range of product areas, customer behaviour, partner performance and others • Performance management and evaluation, regular 1-to-1 meetings to discuss workload and personal development of data analysts • Drive high impact analytical initiatives across the organisation • Build relationships and manage a wide array of stakeholders • Create, prioritise and proactively communicate the backlog of the analytics team • Work together with the Heads of Product to align the backlog to the top impactful initiatives in the Supply area • Lead efforts to enhance data driveness in the company • Mentor peers and stakeholders in data usage and its value • Participate in hiring process to bring the best product and data analytics talent to Printify • Equip the team with the latest analytical and statistical techniques and advancements relevant to Printify business

🎯 Requirements

• Strong written & verbal English communication skills • Track record of managing priorities across wide stakeholder groups • 5+ years of professional experience in data analysis • 1+ years of experience leading a team of data analysts • Previous experience in a product company or a marketplace is a plus • Prior experience applying AI in a data context is a plus, but not expected • A strong curiosity and eagerness to experiment with AI and integrate it into workflows is essential • Demonstrated ability to present and clearly articulate summarized data analysis results • Advanced SQL skills and experience with Snowflake or similar data warehouses • 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) • Solid understanding of statistics and AB testing • Hands-on experience with product experimentation • Empathy and ability to work with employees with different professional and cultural background

🏖️ Benefits

• A global, inclusive team that’s as supportive as it is ambitious and serious about getting things done • An opportunity to work remotely • Flexible working hours (start your day as late as 11 AM) • Private health insurance • 2 extra paid days off to focus on your mental or physical well-being • 1 extra paid day off to celebrate a Birthday or any other celebration of your choice • Learning Budget to support your professional development • Access to mentorship, internal meetups, and hackathons, both on-site and online • Exciting team-building events and parties you’ll never forget • Design and order your own merch using our platforms with an employee discount