Analytics Engineer

Proper Hospitality is seeking a visionary Analytics Engineer to help build the future of data across our growing portfolio.Position OverviewYou will be the foundational data architect for Proper’s next-generation hospitality intelligence platform, joining as the founding member of the data engineering team. Your mission is to design, build, and own the semantic modeling layer, identity-resolution framework, and core data infrastructure that powers analytics, personalization, membership logic, and AI-driven operations across all Proper properties. This is a hands-on role with direct ownership of data modeling, governance, and data quality, with influence over technical direction, vendor management, and cross-functional alignment. You will collaborate with data engineering vendors, AI/ML engineering vendors and internal business leaders across operations, marketing, revenue management and sales to ensure our data infrastructure is accurate, scalable, governed, and actionable. You will be responsible for portfolio-wide hotel performance analytics, trend identification, and decision-support for Operations, Finance, Revenue Management, and senior executives.Key ResponsibilitiesData Architecture & ModelingDesign and own the company-wide dimensional modeling strategy using dbt (data build tool)Create and maintain clean, well-documented, version-controlled models for core domains (PMS, POS, spa/wellness, membership, digital, etc)Establish and enforce naming conventions, data contracts, lineage, and schema governanceIdentity Resolution & Guest GraphArchitect and maintain the Proper guest identity graph, unifying data across all systems into a single, accurate guest profileDevelop deterministic and heuristic matching rules; iterate on feature extraction, merging logic, and identity quality metricsData Quality & ReliabilityImplement robust data validation, monitoring, and alerting frameworks to ensure completeness, accuracy, and timeliness across all pipelinesPartner with contractors to ensure staging layers ingest data consistently and reliablyBusiness-Facing Metrics & Semantic LayerDefine and maintain authoritative metric definitions (LTV, ADR, occupancy, conversion, channel attribution, membership value, churn)Build accessible data marts and semantic layers that can serve BI tools, CRM systems, and AI servicesDesign metrics and data visualizations with dashboarding tools like Tableau, Sigma, and ModeCross-Functional CollaborationWork closely with operations, revenue management, marketing, and the executive team to understand data needs and translate them into scalable modelsProvide technical guidance and enforce standards with third-party engineering vendorsBe a cross-functional champion at upholding high data integrity standards to increase reusability, readability and standardizationHotel Performance AnalyticsBuild recurring analytical frameworks and dashboards for property-level and portfolio-level insights (occupancy, ADR, RevPAR, segmentation mix, pickup behavior, channel performance, cost-per-room, labor productivity, F&B covers, check averages, menu engineering)Detect structural trends and operational inefficiencies by analyzing PMS, POS, labor, spa, digital, and membership datasetsPartner with property and cluster leadership to interpret trends, validate root causes, and tie data outputs to operational actionsBuild forecasting models for occupancy, F&B demand, spa utilization, labor, and revenueProduce executive-level performance briefs that combine data engineering rigor with applied hospitality interpretationAI/ML EnablementCreate and maintain feature tables for predictive models (propensity, demand forecasting, churn, LTV)Support experimentation and real-time personalization use cases by providing clean features and stable data sourcesDocumentation & GovernanceMaintain comprehensive documentation of all datasets, lineage, assumptions, and transformationsOwn data governance, security, privacy compliance, and access controls in coordination with leadershipQualificationsRequired4–7+ years of hands-on experience in analytics engineering, data engineering, or modern data stack architectureExpert-level SQLDeep experience with dbt, dimensional modeling, and analytics engineering best practicesStrong understanding of cloud data warehouses (Snowflake, BigQuery, or Databricks)Experience building and validating ETL/ELT pipelines and working with raw staging layersStrong understanding of data quality frameworks, testing, lineage, and documentationDemonstrated ability to unify data across disparate systems and design customer 360 profilesProven ability to translate raw data into actionable insights for operators, leaders, and executivesPreferredExperience in hospitality, retail, wellness, or membership-based businessesFamiliarity with reverse-ETL tools (Hightouch, Census)Experience with event streaming (Kafka, Pub/Sub) and real-time architectureExposure to Python for data modeling or feature engineeringUnderstanding of marketing automation platforms (Klaviyo, Salesforce, Braze)Strong data privacy and governance understanding (GDPR/CCPA)Personal AttributesOwnership mentality; strong opinions about modeling quality and data integrityAble to push back on, manage vendors and enforce standardsComfortable designing from scratch without existing documentationCommunicates clearly with both technical and non-technical partnersBias toward simplicity, clarity, and correctnessHigh degree of professional maturity and judgmentSuccess in the First 90 Days Looks LikeProper-wide data modeling standards defined and documentedUnified guest identity graph MVP created and validated on core systemsdbt project structured, version-controlled, and integrated with CI/CDVendor pipelines reviewed, documented, and aligned with governanceFirst wave of clean, tested metric tables delivered to stakeholdersProper’s first set of high-value feature tables ready for AI/ML use casesDelivery of first hotel performance analytics suite roadmap (occupancy, ADR, RevPAR, segmentation, labor, F&B) with recommended actionsSalary$155,000-185,000Company OverviewProper Hospitality is a diverse team of passionate individuals who share a common love for hotels and the art of hospitality. Our philosophy is simple: there is a right way to do things, and anything less just isn’t proper. We are seeking the best of the best—both within and outside the industry—to join us in building a new kind of lifestyle hospitality company, inspired by a centuries-old tradition. We’re a small, focused team building something long-lasting. The work is hands-on, dynamic, and meaningful.To achieve our vision—to inspire and transport people—we seek like-minded candidates who embody our ethos, The Pillars of Proper:Care Proper: We are natural and gracious hosts to all.Achieve Proper: We are committed to excellence.Imagine Proper: We are resourceful.Present Proper: We have an appreciation for style and culture.Proper Hospitality is an equal-opportunity employer. We provide employment opportunities to all individuals regardless of race, color, religion, sex, national origin, age, disability, gender identity or expression, genetics, or any other federally or state-protected category.We also consider qualified applicants with criminal histories in accordance with local Fair Chance Hiring Ordinances.