Senior Analyst - Loyalty Analytics (All Genders)

Location: Hybrid, with 60% of working time in the office and 40% from home. Offices are located in Munich, Madrid, Krakow, Wroclaw, London, and Vienna. Up to 20 days of work abroad may be available in approved countries.

Salary: PLN 187,000–228,500 annually.

Company

hirify.global is a pet e-commerce company serving more than 12 million customers across multiple markets.

What you will do

• Translate business questions from Loyalty Product and Loyalty Business teams into analytical frameworks and actionable insights.
• Measure the impact and incrementality of loyalty initiatives through experimentation, cohort analysis, and performance evaluation.
• Define and maintain KPIs covering loyalty performance, customer engagement, retention, and customer value.
• Build dashboards, reporting solutions, and scalable measurement frameworks for data-driven decision-making.
• Provide analytical guidance to product and business leaders and influence decisions through clear recommendations.
• Own and prioritize the loyalty analytics backlog while improving measurement methodologies, reporting standards, and data quality.

Requirements

• Bachelor’s degree in statistics, mathematics, economics, business analytics, computer science, or another quantitative field.
• 5+ years of experience in analytics, business intelligence, product analytics, customer analytics, loyalty analytics, or a related field.
• Advanced SQL skills for analyzing large-scale customer and transaction datasets, plus experience using Python for analytics, automation, or statistical analysis.
• Experience with Tableau, Power BI, or similar data visualization tools, including KPI definition, dashboard development, and reporting frameworks.
• Strong stakeholder management, communication, and presentation skills, including the ability to influence product and business decisions.
• Fluency in English required.

Nice to have

• Experience with loyalty programs, customer retention, subscription products, membership models, or customer lifecycle analytics.
• Experience with causal inference, uplift measurement, experimentation, incrementality, or cohort-based methodologies.
• Experience with Adobe Analytics.
• Experience in e-commerce, retail, subscription, or digital product businesses.

Culture & Benefits

• Ownership of a strategically important customer loyalty business area.
• Collaboration with product and business leaders in an international, data-driven environment.
• Career development opportunities, training, and professional support.
• Wellbeing offers, subsidized transport or bike leasing, and a 20% discount on products.
• Hybrid working with the option to work abroad for up to 20 days in approved countries.