Team Lead Analytics leading a multidisciplinary team to shape customer insights for HRS's B2B enterprise solutions and B2C consumer platform. Driving analytics and predictive decision-making across marketing and product domains.
Responsibilities
Lead and develop a high-performing analytics and data science team, setting clear priorities, coaching team members, and ensuring strong delivery across marketing and product domains
Drive persona- and segment-led insights by guiding analyses of transactional and onsite behavioral data across lifecycle stages and cohorts to identify acquisition drivers, engagement patterns, churn risks, and upsell opportunities
Lead cross-functional analyses across the full funnel (traffic, conversion, activation, retention, LTV) to understand performance drivers and translate findings into actionable recommendations for marketing and product decisions.
Define and govern KPI frameworks and measurement standards across marketing and product, ensuring consistent tracking of funnel performance, lifecycle metrics, and segment-level outcomes
Oversee end-to-end customer journey analytics across B2C and B2B, identifying friction points, feature adoption drivers, and opportunities to improve engagement and retention
Drive scalable analytics enablement by leading the development of automated, AI-enabled dashboards and self-service solutions to support data-driven marketing and product steering at scale
Lead the transition toward predictive and AI-driven analytics by identifying high-impact use cases (e.g., personalization, churn prediction, forecasting) and embedding them into business decision-making
Requirements
5+ years of experience in customer, marketing, and/or product analytics in digital, marketplace, or SaaS environments, including experience leading or mentoring analysts
Proven ability to translate customer segments, personas, and behavioral data into actionable insights that drive marketing and product decisions
Strong understanding of full-funnel performance measurement (acquisition, activation, retention, LTV) and experimentation methods (A/B testing, incrementality, causal analysis)
Hands-on experience with SQL and large-scale data environments; familiarity with cloud platforms (ideally AWS) and Python
Experience defining KPI frameworks, measurement standards, and scalable reporting setups across cross-functional teams
Experience with BI tools (e.g., MicroStrategy, Tableau, Power BI) and building automated or self-service reporting solutions
Strong stakeholder management and communication skills, with the ability to translate complex analyses into clear business recommendations
Access to a global network of a globally united and mutually responsible “Tribe of Intrapreneurs” that is passionately dedicated to renew the travel industry and while doing so reinvent the ways how businesses stay, work and pay.
Opportunity to grow personally and professionally throughout this unique journey.
Continuous learning from a radical culture of retrospectives and continuous improvement.
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