Data Analyst

TL;DR

Data Analyst (E-commerce): Own the end-to-end analytics workflow for app product and business teams, transforming transactional and behavioral data into actionable insights with an accent on applied statistics, A/B testing, and performance analysis. Focus on conducting deep dives into product datasets, building advanced dashboards, and generating hypotheses to guide experimentation and decision-making.

Location: Hybrid in Madrid, Spain (60% office time, 40% remote), option to work 20 days abroad in approved countries.

Company

Trailblazers in pet e-commerce with over 25 years experience, serving 12 million customers across Europe from offices in Munich, Madrid, Krakow, Wroclaw, London, and Vienna.

What you will do

• Own end-to-end analytics pipeline using transactional and behavioral data with applied statistics.
• Conduct deep dives into product datasets for actionable insights supporting decisions.
• Perform product discovery analysis to identify opportunities, generate hypotheses, and guide experiments.
• Apply A/B testing, regression, and forecasting to analyze performance.
• Develop dashboards and SQL reports to track KPIs.
• Present findings to stakeholders and integrate multi-source insights.
• Collaborate with product teams across lifecycle and foster data-driven culture.

Requirements

• 3+ years in data-driven product environment, preferably e-commerce
• Strong analytical/statistical background, critical thinking, problem-solving.
• Proven statistical techniques: A/B testing, regression, forecasting.
• Advanced SQL (query optimization, large datasets, data marts), transactional analysis.
• Experience with Tableau, Power BI or similar for dashboards.
• Strong communication for presenting to senior stakeholders.
• Adobe Analytics or similar digital tools.
• Bachelor's/Master's in Statistics, Data Science, CS, Math or related preferred.

Nice to have

• Experience with digital customer-facing products and event-based data.
• Mobile app product data analysis.
• Python or R for modeling/automation.
• Cross-functional analytics projects impacting company-wide.

Culture & Benefits

• Hybrid working: 60% office, 40% home.
• 20 days work abroad in approved countries.
• Development opportunities, training, wellbeing offers.
• Subsidised transport/bike leasing, 20% product discount.
• Equal opportunity, diversity, inclusion focus.