Job Description
Revenue Analyst Empire State Realty Trust, Inc. (NYSE: ESRT) is a NYC-focused REIT that owns and operates a portfolio of well-leased, top of tier, modernized, amenitized, and well-located office, retail, and multifamily assets. The Company is a recognized leader in energy efficiency and indoor environmental quality. As of December 31, 2025, ESRT's portfolio is comprised of approximately 7.9 million rentable square feet of office space, 0.8 million rentable square feet of retail space and 743 residential units. The dedicated team at ESRT is a collection of diverse individuals with a shared passion for excellence and a keen eye toward future growth. Headquartered in New York City, we harness the energy of the city in everything we do. We care for one another, work hard, and have a lot of fun doing it! We are Certified as a Great Place to Work by the global authority, Great Place to Work, on workplace culture, employee experience, and leadership behaviors. We prioritize and invest in the health and wellness of employees to attract, develop, and retain top-tier talent. ESRT values continuous employee development and encourages colleagues to excel in their roles and adapt to emerging business needs. From our crown jewel, The Empire State Building, to incredible buildings modernized for the 21st century, to outstanding customer service, and our decade-long leadership position in sustainability and energy efficient portfolio that is 100% fully powered by renewable wind electricity, we take pride in our work. ESRT seeks an equally passionate colleague to join the team, understand the vision and help achieve that vision. The Revenue Analyst will serve as a key member of the Revenue Management team and focuses on the development and execution of data-driven revenue optimization strategies. This role requires analysis of large and complex datasets to identify performance trends, produce actionable insights, and deliver strategic recommendations that support optimizing NOI. The analyst will partner with cross-functional departments to uncover revenue growth opportunities, monitor and refine key performance indicators (KPIs), and play a critical role in the company's overall financial performance and operational success. Responsibilities Support the VP, Revenue by analyzing data related to pricing, sales mix, segmentation, and capacity to identify trends and performance drivers Support the responsible use of AI by documenting use cases, validating outputs, and assisting with basic model performance monitoring and data quality checks Utilize analytics tools, automation, and AI-enabled platforms to improve reporting efficiency and analytical workflows, under guidance from senior team members Assist with daily, weekly, monthly, and quarterly reporting processes, ensuring data accuracy, consistency, and timeliness. Support market research and competitor analysis efforts by collecting data, developing benchmarks, and summarizing insights related to revenue performance Conduct routine and ad hoc data analyses to uncover patterns, trends, and correlations, and assist in translating findings into clear insights for internal stakeholders Build, maintain, and update dashboards, reports, and data visualizations to track key performance indicators (KPIs) and support business decision-making Collaborate with Sales, Marketing, and other internal teams to provide data-driven insights that support commercial initiatives, campaigns, and pricing decisions Assist in forecasting and trend analysis by using historical data to help evaluate business performance and support planning activities Work with the Ticketing team to help ensure systems and tools (including Ventrata) are set up correctly for reporting, pricing analysis, and capacity tracking Participate in testing, learning, and adoption of new analytics tools and technologies to enhance data capabilities and operational efficiency What Success Looks Like You are goal-oriented to achieve key performance metrics AI is embedded in your daily workflow as a trusted "coworker" Effective adoption, optimization, and governance of AI and analytics tools that improve speed, accuracy, and scalability of revenue insights Develop SOP's and reports to streamline processes and to manage day-to-day operations that are scalable with the use of AI Successful execution of new revenue initiatives, business revenue streams, and software Solid understanding of commercial operations, market dynamics, and sales strategies. Ability to align data insights with business objectives Demonstrate outperformance against the market and competitors Ability to thrive in a dynamic and evolving market landscape, adjusting strategies to meet changing business conditions Required Skills