Pricing Analyst

The Pricing Analyst is someone with expertise in revenue management and dynamic pricing strategies for short-term rental properties. This role will focus on maximizing profitability and occupancy through strategic pricing, market analysis, and data-driven insights. The ideal candidate will have experience in revenue management and possess a strong analytical mindset, with the ability to thrive in a remote offshore working environment. This position requires mathematical and analytical methods combined with business/financial insight to handle the complex issues of dynamic and optimized pricing for hospitality properties spanning markets across the United States. Above all, this individual needs to have a strong passion and enjoyment for driving price changes that help our business grow and surpass company goals.


Essential Functions:
? Set and adjust rental prices based on market demand, seasonality, special events, revenue goals, and other factors.
? Analyze seasonality, elasticity, occupancy, and other factors at market and property levels to continuously arrive at the optimal price for a given night.
? Evaluate the reservation calendar and maximize occupancy across all properties by optimizing pricing and minimum night standards
? Forecast future demand and suggest pricing strategies based on anticipated trends.
? Track KPIs across markets and properties, including occupancy rates, average daily rates, lead booking times, and recent booking.
? Perform statistical analysis on historical reservation data to drive change and improvements to our current pricing strategy.
? Utilize knowledge of Tableau (data visualization), Google sheets, and relational database structures to design aggregations and queries that our data visualizations in the form desired for business analysis.
? Work together with Marketing and Sales to execute pricing strategies as directed by management.


Requirements
? Degree in Economics, Finance, Business, Analytics, or a related field preferred.
? 3+ years of data analytics experience.
? Revenue management experience.
? Advanced computer skills, including proficiency in Google Workspace products.
? Strong data analysis skills.
? Strong communication skills, both written and verbal.
? Strong organizational and management skills.

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