Data Analytics Team Lead

FYUL

Barcelona

Presencial

EUR 65.000 - 90.000

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Private health insurance
Remote work
Flexible hours
Learning budget
Mentorship & meetups
Team events
Employee merch discount
Extra paid days off

Descripción de la vacante

FYUL is the engine that powers on-demand commerce at global scale. We seek a Data Analytics Team Lead to guide a small team of analysts across product, supply and user-behavior initiatives.

You will shape analytics strategy, mentor analysts, and partner with product and business stakeholders to drive high-impact decisions. This role supports a remote-friendly environment and international collaboration.

Formación

  • 5+ years of professional experience in data analysis.
  • Experience leading a team of data analysts.
  • Strong written & verbal English communication skills.
  • Decision-making with multiple stakeholders across products and business.
  • Experience in product companies or marketplaces is a plus.
  • Interest in applying AI to data workflows and experimentation.
  • Ability to present summarised data analysis results clearly.
  • Advanced SQL skills with Snowflake or similar warehouses.
  • Hands-on BI/dashboard experience (Looker a plus).
  • Understanding of data modelling, quality and event tracking.

Responsabilidades

  • Lead a team of up to 4 data analysts spanning product, supply and business topics.
  • Guide data analysis across product areas, customer behaviour and partner performance.
  • Manage performance and workload through regular 1-to-1s and coaching.
  • Drive high-impact analytical initiatives and outcomes across the organisation.
  • Build relationships with a wide range of stakeholders.
  • Create and prioritise the analytics backlog with product alignment.
  • Promote data-driven culture and mentor peers in data usage.
  • Participate in hiring to attract top analytics talent.
  • Equip the team with modern analytical techniques and tools.

Conocimientos

Data analysis
Stakeholder management
Team leadership
Product analytics
Statistics and AB testing
AI experimentation
Data modelling
Data quality
Event tracking
English communication

Herramientas

Snowflake
Looker
Amplitude
SQL

Descripción del empleo

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 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‑drivenness in the company. Mentor peers and stakeholders in data usage and its value
  • Participate in the hiring process to bring the best product and data analytics talent to FYUL
  • Equip the team with the latest analytical and statistical techniques and advancements relevant to FYUL 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 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 summarised 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 visualisations (Looker is a plus)
  • Solid understanding of data modelling 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
About FYUL

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.

Equal‑opportunity workplace

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.

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