City Experiences represents Hornblower Group's portfolio of water- and land-based experiences and includes two sub-brands: City Cruises and City Ferry.

City Experiences offers a range of land-based experiences including shore excursions, partner-offered experiences, multi-port packages, and Cruising Excursions, ShoreTrips, and Walks products. Its iconic water-based experiences are branded City Cruises, and its ferry services are part of the City Ferry division.

City Cruises operates public dining and sightseeing cruises as well as private charters for corporate events, birthday parties, weddings, or other special occasions. It creates unforgettable experiences across 22 destinations in the U.S., Canada and the UK.

Hornblower is seeking a talented data analyst to join our growing Corporate level Revenue Management team and help build Hornblower’s various brands business intelligence capacity. Successful candidates will work with Revenue Management and Marketing leadership to assure that the most relevant possible real-time and historical data is identified, tracked, analyzed, and made actionable across all our Brands.

This is an exciting opportunity for someone who is passionate about building a lasting foundation from the ground-up that supports exciting revenue analytics and optimization initiatives that have the potential to drive real growth. The position will improve business results through the combination of statistical rigor, data analysis, and fast paced execution with an emphasis on driving actionable business recommendations.

Essential Duties & Responsibilities:

• Apply advanced analytics techniques (data mining, data visualization, statistical analysis, machine learning) on large-scale, high-dimensional data to help drive business decisions
• Analyze customer behavior (e.g., Product Preference, Purchase Patterns) to identify unmet customer needs and untapped content opportunities
• Predict customer demand to optimize revenue opportunities either via price, customer segmentation, or sales channel
• Ideate and develop new metrics and KPIs, measuring performance for both tactical and strategic decision-making
• Provide ad-hoc analysis support for stakeholders to help move the business forward
• Effectively communicate actionable results through compelling data storytelling across the organization

Requirements & Qualifications:

• Bachelor’s degree in Mathematics, Statistics, Operations Research, Computer Science, or equivalent knowledge
• Expertise in SQL and R and/or Python
• Experience in statistical analysis and machine learning techniques: decision trees, regression, clustering etc.
• Demonstrated ability to work independently and applying creativity in solving open-ended problems
• Outstanding data storytelling skills through verbal, written, and visual communication