Landing

Analytics Engineer

• Own Landing's dbt models, data pipelines, and warehouse architecture.
• Maintain dbt model library — keeping models clean, tested, documented, and aligned with business data usage.
• Manage Landing's ELT stack — including Stitch, Snowflake, dbt, and associated monitoring and orchestration tooling.
• Establish a finance and operations data spine — authoritative source of truth for core executive KPIs, metric definitions, and warehouse logic.
• Develop analytics engineering standards, tooling decisions, and long-term roadmap for data platform.
• Foster cross-functional data partnerships with Engineering, FP&A, and Accounting — translate between technical infrastructure and business need.
• Enforce data quality standards, testing frameworks, and metric governance practices.
• Support executive, board, and investor reporting — work directly impacts high-stakes decision-making and fundraising.

Senior Analytics Engineer

Marketing

• Own repeat-booking rate, guest LTV, and direct demand from existing base.
• Create solutions to change booking behavior.
• Conduct guest calls and manage review feedback.
• Solve problems proactively based on guest feedback.
• Collaborate with Ops for timely messaging.
• Design in-unit experiences that enhance brand perception.
• Develop loyalty programs to encourage repeat bookings.
• Rebuild CRM stack and segmentation in HubSpot.
• Execute AI-driven strategies and experimentation to optimize lifecycle.

Senior Analytics Engineer

Head of Lifecycle Marketing