Revenue Analyst focusing on data-driven revenue optimization strategies at Empire State Realty Trust. Analyzing trends, delivering insights, and supporting financial performance across teams.
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
Requirements
Bachelor’s degree in Business Administration, Finance, or Economics
Two to three years of experience in a related position
Must have experience with creating reports and models
Strong analytical and problem-solving abilities, with a proven track record of translating data into actionable business strategies
Comfort using AI tools as part of daily analytical workflows
Data analytics tools experience is preferred (e.g., SQL, Python, Tableau, Power BI). At a minimum, expert proficiency in Excel is required
Proven ability to drive results, meet deadlines, and exceed targets in a fast-paced and competitive environment
Detail-oriented with a focus on data accuracy and quality
Excellent multi-tasking, organizational, and time management skills
Exceptional written and oral communication skills
Benefits
Competitive base salary and bonus
Health/Dental/Vision insurance
Company sponsored Life, AD&D, STD (with Salary Continuation), and LTD Insurance
Voluntary Enhanced LTD Program
Voluntary Hospital, Accident, and Cancer Programs
401(k) with 100% match up to 5%
Paid parental leave
Pre-tax transit accounts
Employee Assistance Program for emotional, financial, and legal support
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