Senior Data Analyst - Sales (Hybrid)

About the role

zooplus, a pet e-commerce company with over 25 years of experience, is hiring a Senior Sales Analyst in its Shopping & Markets Analytics team within the Data & Analytics division. You will act as a strategic analytics partner for Regional Sales and Commercial teams across Europe, owning a portfolio of analytical products, reporting solutions and business insights that support commercial decision-making. The role is based in Madrid with a hybrid setup (60% office, 40% home).

Key responsibilities

• Partner with Regional Sales stakeholders across Europe to support data-driven decision-making.
• Identify commercial opportunities and performance drivers through analysis of sales, pricing, promotions, customer behavior and market trends.
• Own and improve dashboards, reporting solutions and KPI frameworks.
• Design and maintain scalable analytical datasets and data marts.
• Lead complex analytical projects with Sales, Pricing, CRM, Category Management and Data Science teams.
• Use AI, automation and modern analytics tools to improve efficiency and enable self-service analytics.
• Communicate insights and recommendations to stakeholders, including senior leadership, and promote a data-driven culture.

Required profile

• Bachelor's or Master's degree in Statistics, Mathematics, Economics, Business Administration, Computer Science or a related field.
• 5+ years of experience in analytics, business intelligence or commercial analytics, preferably in e-commerce, retail or digital businesses.
• Strong commercial acumen and proven ability to turn complex data into actionable recommendations.
• Strong communication and presentation skills, with experience engaging senior business stakeholders.

Required skills

• Advanced SQL, including large-scale data analysis, query optimization and dataset development.
• Tableau, Power BI or similar BI and data visualization tools.
• Cloud-based analytics environments and modern data platforms.
• Nice to have: Python or R, forecasting, experimentation, self-service analytics, AI-enabled analytics and leading analytics initiatives.

What we offer

• Hybrid working (60% office, 40% home) and the option to work 20 days abroad in approved countries.
• Development opportunities, training and support, wellbeing offers and subsidised transport or bike leasing.
• 20% discount across all products.