Senior Analyst - Loyalty Analytics (All Genders)

Senior Analyst - Loyalty Analytics (All Genders)

• Ul. Pawia 17, Krakow, Lesser Poland, PolandEmployees work in a hybrid mode60% onsite/40% home office
• Full-time
• Department: Product & Tech
• Job Level: 07
• Career Stream: Individual Contributor (Expert)
• Compensation: PLN 187 000 - PLN 228 500 - yearly

Company Description

With over 25 years’ experience, plus the same enormous passion and ambition we had on day-one, we’re trailblazers in the pet e-commerce industry. Our solutions make over 12 million customers genuinely happier - and that’s something we really care about. We work together to continually adapt; embracing change and the challenges it brings so that we can keep doing better. Join us and discover a place where your potential meets your passion for pets. That’s the power of plus.

Job Description

As a Senior Analyst, Loyalty Analytics, you will be the primary analytics partner for Zooplus' Loyalty Product and Loyalty Business teams. You will translate business questions into analytical frameworks, measure the impact of loyalty initiatives, and deliver actionable insights that support decision-making and program growth.

You will own key loyalty measurement frameworks, define and monitor program KPIs, and ensure the loyalty analytics backlog remains aligned with business priorities and company strategy. This role combines hands-on analytics expertise with functional leadership and stakeholder management.

Key Responsibilities

• Translate business questions into analytical approaches and actionable insights that support loyalty program decisions.
• Measure the impact and incrementality of loyalty initiatives through experimentation, cohort analysis, and performance evaluation.
• Define, maintain, and evolve KPIs that measure loyalty program performance, customer engagement, retention, and customer value.
• Build dashboards, reporting solutions, and measurement frameworks that enable data-driven decision-making.
• Act as the primary analytics partner for Loyalty Product and Loyalty Business teams, providing analytical guidance and recommendations.
• Own and prioritize the loyalty analytics backlog, ensuring it remains aligned with business priorities, loyalty program objectives, and company strategy.
• Influence product and business decisions through data-driven recommendations and clear communication of analytical findings.
• Promote analytics best practices and continuously improve measurement methodologies, reporting standards, and data quality.

What Success Looks Like

Within your first 6-12 months, you will

• Become the trusted analytics partner for Loyalty Product and Loyalty Business teams.
• Establish and maintain a scalable KPI framework for monitoring loyalty program performance.
• Deliver robust measurement approaches for key loyalty initiatives and product enhancements.
• Ensure the loyalty analytics backlog is prioritized and aligned with evolving business priorities.
• Deliver actionable insights that influence product decisions, customer experience improvements, and program growth.
• Build reporting and dashboard solutions that increase visibility of loyalty program performance and enable self-service decision-making.

Why You'll Love Working With Us

• Ownership of a strategically important business area.
• Opportunity to influence the future of customer loyalty across multiple markets.
• Close collaboration with product and business leaders.
• A highly data-driven environment where insights directly shape decisions and customer experience.
• An international team focused on continuous improvement and customer value.
• Opportunities to grow both your analytical expertise and functional leadership capabilities.

Qualifications

Must-Have 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 proficiency, including writing complex queries to analyze large-scale customer and transaction datasets.
• Experience using Python for analytics, automation, or statistical analysis.
• Experience with Tableau, Power BI, or similar data visualization tools.
• Proven experience translating business questions into analytical frameworks and actionable recommendations.
• Strong experience delivering insights that drive measurable business outcomes.
• Experience defining KPIs, building dashboards, and developing reporting frameworks for business stakeholders.
• Strong stakeholder management and communication skills, with the ability to influence decision-making across product and business teams.
• Experience presenting analytical findings and recommendations to non-technical audiences.
• Fluency in English.

Nice-to-Have Requirements

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

Additional Information

Headquartered in Munich, with offices across Madrid, Krakow, Wroclaw, London and Vienna, we collaborate because we genuinely love working together - so you’ll be at the heart of an incredible, multinational team. We trust each other to get the job done, which means you’ll benefit from hybrid working, spending 60% of your time in the office and 40% at home. There’s an option to work for 20 days abroad in approved countries too.

Add to that development opportunities that help you to shape your own career path, excellent training and support, wellbeing offers, subsidised transport or bike leasing, plus 20% discount across all our products, and you’ll begin to get a sense of what sets us apart. Find out more about the specific benefits at your local office in our blog posts.

A note on compensation: We believe in being transparent about salary ranges. The range shown reflects the full scope that the role can grow into over time, depending on experience, skills, and impact. Most offers are positioned around the midpoint of the range, ensuring a fair and consistent approach across our teams.

At zooplus, we believe in equal opportunity and support everyone to fulfil their potential. We recognise the power of listening and learning from each other and embrace diversity and inclusion of all.

#LI-Hybrid