Corporate Marketing Analyst

Job Details Description Massanutten Resort Great Eastern Resort Corporation We are looking for a detail-oriented, data-savvy problem solver to join our team as a Corporate Marketing Analyst. This role supports and optimizes marketing strategies across our timeshare tour, resort hospitality, and residential real estate sales operations. The ideal candidate has a strong understanding of data modeling, warehousing, and compliance; a passion for solving business problems through analytics; and the technical expertise to build scalable, insightful reporting. The Marketing Analyst will play a key role in translating data into actionable insights to drive lead generation, improve conversion rates, and enhance overall marketing ROI. This person must be adept at working cross-functionally and comfortable providing analytical support to a variety of stakeholders. Key Responsibilities: Develop a clear, data-driven narrative linking marketing spend, campaign activity, and business results, including KPIs such as tour bookings, sales conversion rates, cost per tour, pipeline attribution, and marketing cost as a percentage of sales. Build and maintain dashboards and reports using SQL-based queries and data from tools like Snowflake, Databricks, or Microsoft Fabric to monitor campaign and channel performance. Analyze performance across digital, call center, and onsite channels to identify trends in lead quality, customer engagement, booking behavior, and sales cycle velocity. Evaluate campaign effectiveness using ROI, ROAS, conversion rates, and engagement metrics; recommend optimizations to messaging, targeting, and spend allocation. Conduct market and competitor analysis to identify trends, whitespace opportunities, and benchmarks relevant to the leisure, travel, and real estate industries. Partner with Sales, Operations, and Revenue Management to connect CRM, web, and campaign data—delivering a holistic view of marketing impact and business context. Apply statistical methods and predictive modeling (Python or R preferred) to forecast performance and support decision-making for campaign targeting and budgeting. Assist in the design and analysis of A/B tests across email, web, landing pages, and offer strategies. Present regular reporting, insights, and business recommendations to marketing leadership and stakeholder teams. Monitor marketing budgets and track spend efficiency in alignment with financial and lead generation goals. Stay current on marketing analytics trends, AI/ML applications, privacy regulations (PCI, PII, GDPR), and best practices in performance reporting.

Created: 2025-10-31