Data Analytics Team Lead

Product · Spain · Fully Remote Data Analytics Team Lead We’re not one brand or one type of team. We’re a fast-growing global company made up of many disciplines – all working toward a shared goal: to power great brands, experiences, and people.

About the role:

We are looking for a responsible and experienced Data Analytics Team Lead to join our efforts in taking over the print-on-demand industry. You will work in an international environment with talented data fellows in a casual atmosphere.

Your daily tasks will include:

• 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 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 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 latest analytical and statistical techniques and advancements relevant to Printify business

Your qualifications:

• 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 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
  

What we offer:

• 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

---

FYUL is the engine that powers on-demand commerce at global scale.

Formed in 2024 through the merger of Printful, Printify, and Snow Commerce, we bring together tech, talent, and infrastructure to help people turn ideas into beautiful products.

From solo creators to entertainment giants, FYUL powers merch that connects with millions, backed by advanced tech, premium production, and global reach.

We're a fast-growing global company working toward powering great brands, great experiences, and great people.

---

We are an equal-opportunity workplace. We’re committed to diversity and inclusion and make hiring decisions based solely on qualifications, merit, and work experience.

If you think you’d excel in this role, send us your resume in English, showing us why you are the right person for the job.

Interested, but don’t think this is the right fit for you? Feel free to share it with friends and check out other open positions at our career site. We’re always looking for creative and driven minds to join our ever-growing team.

Team Product Role Data Analytics Team Lead Locations Spain Remote status Fully Remote Our Hiring Process

Intro Chat

If our Talent Acquisition Team believes that you could be a great fit for the role, we’ll invite you to a 30-45-minute introductory call. Our goal is to learn about your relevant experiences, skills, and motivations. This is also your chance to ask any questions you may have about FYUL.

Practical Task

Some roles require our candidates to complete a practical assignment. It helps us assess your problem-solving skills and your ability to complete the duties required for the role.

These can come in the form of a take-home assignment or a live session where a dedicated team member will guide you through the process and answer any of your questions.

Hiring Manager Interview

The next step is a 30-60-minute call to meet the hiring manager. The goal of this call is to assess if you have the skills necessary for the role. Expect more detailed questions about your experience and some situational or behavioral questions.

Decision and Offer

Once all of your interviews are done, our team will get together to review everyone’s feedback and make a decision.

If we decide that you are the best candidate for the role, our recruiter will reach out to you with an offer.

Once you have accepted the offer, our HR Operations Team will contact you to walk you through the contract signing process.

And that’s it! Your FYUL journey begins!

Product · Spain · Fully Remote Data Analytics Team Lead We’re not one brand or one type of team. We’re a fast-growing global company made up of many disciplines – all working toward a shared goal: to power great brands, experiences, and people.