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A leading tech e-commerce group is looking for a Data & Analytics Director to define and lead their data strategy in Santa Fe, Argentina. The role involves overseeing data science, engineering, and business intelligence teams to enable data-driven decision-making. Ideal candidates will have a robust background in data leadership and technical expertise in SQL, Python, and data visualization tools. The role offers a competitive USD salary and a 100% remote work environment.
About Trafilea
Trafilea is a dynamic and innovative Tech E-commerce Group that operates multiple direct-to-consumer brands in the intimate apparel and beauty sectors, with a focus on using data-driven strategies to scale their businesses. In addition to our products, we have our own online community dedicated to promoting body positivity. As a rapidly growing global player, Trafilea is committed to creating high-quality products and services that enhance the customer experience and drive long-term growth.
IT @ Trafilea: IT professionals work on modern tech stack and collaborate with cross-functional teams to build high-performance, scalable e-commerce platforms that drive the growth of the company's portfolio of brands. They work on projects ranging from designing ReactJS components in our library to complex AI models at the core of our applications and integrations.
The mission of the Data & Analytics Director is to define and lead Trafilea’s data strategy, ensuring data accuracy, availability, and accessibility across the organization. This role will oversee data science, data engineering, and business intelligence teams to enable data-driven decision-making. By aligning initiatives with business objectives, the Director will foster innovation, scalability, and a culture of using insights to drive performance.
Data Strategy & Governance
Lead the development and execution of Trafilea’s data strategy.
Ensure compliance with global data privacy and security standards.
Team Leadership
Manage and scale high-performing teams across data science, engineering, and BI.
Promote a culture of knowledge-sharing, mentorship, and innovation.
Data Infrastructure & Systems
Ensure data pipelines, warehouses, and reporting systems deliver accuracy and scalability.
Drive adoption of cloud platforms (AWS, Azure, GCP) for modernized infrastructure.
Business Alignment
Collaborate with Marketing, Product, Operations, and Finance to ensure data initiatives support business goals.
Deliver dashboards, models, and reports that connect operational performance with strategic outcomes.
Innovation & Trends
Stay at the forefront of new technologies and methodologies in data science and analytics.
Apply advanced analytics and AI to unlock growth opportunities.
We’re a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast. We build and scale our own brands. We invest in AI and automation like few others in eCom. We test fast, grow fast, and help you do the same. Be part of a dynamic, diverse, and talented global team. 100% Remote, USD competitive salary, paid time off, and more.
Collaborate with world-class talents in a data-driven, dynamic, energetic work environment.
Opportunity to grow and develop both professionally and personally.
Safe space to be who you truly are, with a commitment to diversity, equity, and inclusion.
Openness to new ideas and initiatives.
Great benefits package including remote work, 15 working days of paid holidays, Learning subsidy and more!
We\'ve been recognized by Forbes and FlexJobs as one of the Top 25 Companies for Remote Workers. Apply now!
10 years in development, 5 in a senior role (Tech Manager).
Education: Bachelor’s or Master’s in Data Science, Computer Science, Statistics, or related field.
Experience:
Extensive experience in data leadership, ideally in high-growth or e-commerce environments.
Proven success in building and managing data science, engineering, and BI teams.
Technical Skills:
Expertise in SQL, Python, R, and data visualization (Tableau, Power BI).
Strong understanding of cloud platforms (AWS, Azure, GCP).
Deep knowledge of advanced analytics, ML pipelines, and data governance.
Leadership Skills:
Strong project management and cross-functional collaboration skills.
Excellent communicator, able to simplify complexity for business audiences.
Visionary leader with a balance of strategic thinking and execution focus.