Senior Yield Data Analyst at Hearst managing data insights for ad - tech strategy. Collaborating with engineering and BI teams to optimize revenue generation from extensive data analysis.
About the role
- 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
- Experience applying predictive analytics or AI-driven approaches (e.g., personalization, churn prediction, forecasting)
Benefits
- 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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