Senior Analyst, Loyalty Analytics

Quick Facts

• Role: Senior Analyst, Loyalty Analytics
• Work mode: Hybrid (60% onsite / 40% home office)
• Location: Krakow, Poland
• Compensation: PLN 187,000–228,500 yearly

Description

You will be the primary analytics partner for the Loyalty Product and Loyalty Business teams, translating business questions into analytical frameworks and measuring the impact of loyalty initiatives. You will define and monitor loyalty KPIs, build dashboards and reporting solutions, and provide actionable insights to support program growth. You will also own and prioritize the loyalty analytics backlog and continuously improve measurement methodologies and data quality.

Responsibilities

• Translate business questions into analytical approaches and actionable insights for loyalty decisions
• Measure impact and incrementality via experimentation, cohort analysis, and performance evaluation
• Define, maintain, and evolve KPIs for loyalty performance, engagement, retention, and customer value
• Build dashboards, reporting solutions, and measurement frameworks for data-driven decisions
• Partner with Loyalty Product and Loyalty Business teams to provide analytical guidance and recommendations
• Own and prioritize the loyalty analytics backlog aligned with business priorities and program objectives
• Influence product and business decisions with clear communication of analytical findings
• Promote analytics best practices and improve measurement methods, reporting standards, and data quality

Benefits

• Ownership of a strategically important business area
• Influence loyalty across multiple markets
• Close collaboration with product and business leaders
• Highly data-driven environment where insights shape decisions and customer experience
• International team with continuous improvement focus
• Opportunities to grow analytical expertise and functional leadership capabilities

Requirements

• Bachelor’s degree in a quantitative field
• 5+ years of relevant analytics experience (loyalty/customer/product analytics, BI, or similar)
• Advanced SQL for complex queries on large-scale customer/transaction data
• Python experience for analytics, automation, or statistical analysis
• Tableau or Power BI (or similar) experience
• Ability to translate business questions into actionable analytical frameworks
• Experience delivering insights tied to measurable business outcomes
• KPI definition, dashboards, and reporting framework development experience
• Strong stakeholder communication, including to non-technical audiences
• English fluency

Nice-to-Have

• Loyalty programs and customer lifecycle/retention or membership/subscription analytics experience
• Incrementality measurement via experimentation, causal inference, uplift measurement, or cohort methods
• Adobe Analytics experience
• Experience in e-commerce, retail, subscription, or digital products

Additional Information

Hybrid working: 60% office / 40% home. Option to work abroad for 20 days in approved countries. Training and support, wellbeing offers, subsidized transport or bike leasing, and a 20% discount on company products.