Senior Revenue Management Analyst
Listed on 2026-02-06
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Business
Data Analyst, Business Systems/ Tech Analyst
Employment Type: Freelance
Location: Hybrid – Onsite Monday–Thursday (remote eligible on Friday)
Duration: 3/30/26 – 11/27/26
Pay Rate: $52.30/hour
The Senior Analyst, Revenue Management will design, implement, and optimize revenue management and pricing strategies across high-impact guest-facing products. This role leverages advanced analytics, predictive modeling, and performance measurement to drive strong financial outcomes across products such as priority access programs, Food & Beverage, Merchandise, and other ancillary revenue streams.
As a senior individual contributor, you will own end-to-end pricing analytics work streams, from data preparation and model execution through to actionable recommendations and post-implementation analysis. You will collaborate closely with product owners, senior leadership, and data science partners to influence strategic decisions and support the automation of pricing and revenue optimization processes. You will also provide mentoring and guidance to junior analysts, helping elevate analytical rigor and storytelling across the team.
Key Responsibilities- Implement, execute, and refine revenue management models that capture guest price elasticity and demand dynamics for all guest-facing products.
- Support and enhance the automation of revenue management decision-making, identifying opportunities to drive incremental profitability through experimentation and optimization.
- Prepare, cleanse, and structure large datasets (transactions, pricing history, seasonality, volume, penetration, per caps, and related KPIs) to support accurate modeling and scenario analysis.
- Run, monitor, and calibrate predictive and optimization models; assess model accuracy, adjust parameters, and recommend pricing changes that maximize revenue and profit.
- Measure market response and demand sensitivity at product, category, location, and portfolio levels, and synthesize insights into clear, actionable business recommendations.
- Develop and deliver weekly and annual pricing recommendations in partnership with product owners and senior business leaders, tracking outcomes and iterating as needed.
- Design, build, and maintain dashboards and performance reports using data visualization tools (e.g., Tableau, Power BI) to monitor pricing performance, elasticity trends, and key metrics.
- Collaborate with data science and technology teams to diagnose and resolve modeling or optimization anomalies, ensuring robustness and reliability of pricing outputs.
- Coach and mentor junior team members on revenue optimization strategies, pricing analysis methods, data interpretation, and effective communication of analytical findings to non-technical stakeholders.
- Prepare and deliver presentations to senior executives, clearly framing analytical insights, tradeoffs, and recommendations in the context of business objectives.
- Adhere to and actively participate in Environmental, Health & Safety (EHS) programs by following established policies, procedures, training, and team member involvement activities.
- Perform other related duties and special projects as assigned.
- Bachelor’s degree required in Industrial Engineering, Operations Research, Management Science, Mathematics, Statistics, or a closely related quantitative field.
- Master’s degree or PhD in a relevant discipline strongly preferred.
- Minimum of 5 years of experience in revenue management, pricing analytics, quantitative analysis, or a closely related field; or an equivalent combination of education and experience.
- Experience operating in a data-driven environment with measurable financial impact, ideally within hospitality, travel, entertainment, retail, or similar industries.
- Demonstrated history of leading complex analytical projects and influencing stakeholders through data-based recommendations.
- Advanced proficiency in Microsoft Excel, including complex formulas, data manipulation, and model support.
- Proficiency with data visualization tools such as Tableau, Power BI, or similar platforms for dashboard creation and insight communication.
- Working knowledge of SQL and Python (or similar tools) for querying,…
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