Lead Analytics Engineer Remote
08001, Barcelona, Cataluna, España
Publicado en 2026-01-21
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TI/Tecnología
Analista de datos, Gerente de Ciencias de Datos, Tecnologia de Negocios, Ingeniero de datos
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Are you ready to work for the biggest player in the Mass Customization industry? Cimpress is, with offices in 16 countries and counting, a truly global company. Our business successfully brings print and mass customization to the 21st century. Our products range from T-shirts to business cards - you name it, we decorate it! In total, we are capable of producing over 80 million unique products.
Founded as Vistaprint in 1995, we are constantly growing and will continue to do so in the future. We are about to disrupt the entire industry.
We are seeking a Lead Analyst to join our Customer Success team. This role sits at the intersection of analytics and data engineering, focusing on transforming complex data into trusted insights through scalable, production-grade pipelines and user-friendly data products, all to enhance our customers' journey and drive significant business outcomes through effective communication.
What You Will DoBe immersed in a product team (e.g., Product Owners, Data Scientists, Data Engineers) where you will collaborate with stakeholders and build data products, and continually bring forward ideas and insights to drive value for our customers.
Perform advanced data exploration, visualization, and dashboarding. Identify critical trends and drivers, conduct in-depth exploratory data analyses, and create self-service views to foster understanding and empower stakeholders across the organization, influencing key business decisions through clear and compelling communication of findings.
Data Analysis and Modeling. Incorporate multiple data sources and apply advanced analytics methodologies (e.g., customer segmentation, lifetime value modeling, propensity matching) to better understand and retain our customers and drive customer loyalty.
Design and execute a/b/n tests to optimize the customer experience and analyze results to provide insightful recommendations to the business.
Collaborating in a fast-paced , agile environment that focuses on delivering customer value early and often.
Act as a Value-driven impact partner for key business stakeholders, influencing strategy and growth opportunities across the company through strong presentation and communication skills.
Drive analytical excellence by contributing to best-in-class analytics that serve the wider business, and effectively communicating complex analytical concepts to diverse audiences.
Your QualificationsAt Cimpress, we are striving to hire individuals that add new ideas and perspectives to our teams and enhance our culture. No matter your background or work experience, we strongly encourage you to apply—even if you feel that you don’t meet the exact requirements or have the same qualifications. You might be a great candidate for this or other opportunities.
Passionate about data and technology. You are an expert in SQL and you have deep experience in using any of the data presentation/visualization tools such as Looker, Tableau, or Power BI.
Inquisitive by nature. You are comfortable with exploratory analysis and statistical techniques and are driven to find meaningful patterns and trends in the data.
A resourceful and driven problem solver. You enjoy and have demonstrated the ability to tackle complex problems, draw inferences from data, and use your analysis skills and eye for business to identify solutions. You have excellent organizational skills, strong attention to detail, and the ability to deliver on projects supporting multiple business partners effectively.
Team-minded and versatile. You have experience and an interest in partnering with multi-functional team members who come to the table with different perspectives. You are open to creative approaches to solving problems.
Experienced . 7+ years in analytics with 3+ in an eCommerce environment preferred, and a bachelor’s degree in Business, Mathematics, Statistics, Computer Science, Engineering, Economics, or related field; master’s degree preferred.
Nice to HaveProficiency in at least one additional programming language (e.g., Python) would be a plus.
Why You'll Love Working HereWe encourage our engineers to…
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