Senior Analyst Loyalty Analytics (All Genders)

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 Youll 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

• Bachelors 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 youll be at the heart of an incredible multinational team. We trust each other to get the job done which means youll benefit from hybrid working spending 60% of your time in the office and 40% at home. Theres 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 youll 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

Remote Work :

No

Employment Type :

Full-time