Corporate Marketing Analyst

About the Role

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.

Requirements

• Bachelor's degree in Marketing, Business, Statistics, Economics, or a related field.
• Minimum 3 years of experience in marketing analytics or business intelligence roles, ideally within travel, hospitality, or real estate sectors.
• Advanced proficiency with SQL (required) and hands-on experience working in Snowflake or similar cloud-based data warehousing platforms (Databricks, Fabric, etc.).
• Expertise in Microsoft Excel, including Power Pivot, VBA scripting, advanced formulas, and lookup functions.
• Proficient in BI tools (e.g., Power BI, Tableau) and digital/web analytics (e.g., Google Analytics, Looker Studio).
• Familiarity with CRM and marketing automation platforms (e.g., Salesforce, SharpSpring, Pardot).
• Solid understanding of data modeling, warehousing fundamentals, and compliance standards related to data use (PCI, PII, GDPR).
• Experience with predictive modeling, and AI/ML applications is a strong plus.
• Strong problem-solving mindset with business acumen—able to contextualize data and address the needs of diverse stakeholders.
• Excellent communication skills to explain complex findings to both technical and non-technical audiences.
• Organized, detail-oriented, and self-directed with the ability to manage multiple projects and shifting priorities.

Nice to Have

• Experience with Python or R for statistical analysis and predictive modeling.
• Knowledge of AI/ML applications in marketing analytics.

Qualifications

• Bachelor's degree in Marketing, Business, Statistics, Economics, or a related field.
• 7-10 years of equivalent experience preferred.

Benefits & Perks

• Schedule: Monday-Friday, 9am-5:30pm.
• Onsite location in Charlottesville, VA.