Manager, Revenue & Data Analytics

Description

Fitzrovia is seeking to hire a Manager, Revenue & Data Analytics to drive revenue performance and enhance data-driven decision-making across our residential portfolio. Leveraging a mix of proprietary data, third-party market intelligence, and advanced analytics, this role will develop and execute pricing, concession, and marketing strategies to optimize rent rolls, occupancy, and overall asset value. The role will collaborate closely with cross-functional teams including Asset Management, Marketing, Leasing and Operations to align financial goals with leasing and marketing execution.

• Analyze marketing spend and other key operating expense line items to identify opportunities for revenue optimization and cost efficiency.
• Use predictive analytics and scenario modeling to simulate outcomes under various pricing, occupancy, and market scenarios, improving forward-looking revenue strategies.
• Conduct portfolio-wide performance reviews to identify underperforming assets, emerging opportunities, and cross-property pricing patterns.
• Conduct thorough analyses of market trends, competitor pricing, and customer behavior to inform pricing decisions.
• Manage and maintain revenue management systems (e.g., Yardi) and proprietary revenue management software, ensuring data accuracy and system integrity.
• Partner with Business Intelligence (BI) teams to translate data insights into actionable recommendations that drive business growth.
• Establish best practices for data governance, process automation, and system calibration to improve efficiency, transparency, and repeatability in pricing operations.
• Optimize the balance between asking rents, leasing incentives, and marketing spend to maximize net effective rent and overall property performance.
• Develop accurate revenue forecasts and generate regular reports on key performance metrics to support business decisions.
• Develop and implement comprehensive revenue management strategies across a portfolio of purpose-built rental properties.
• Partner with Development, Design and Investments to help inform design, unit mix, and amenity programming decisions based on rent premiums, absorption trends, and market elasticity data.
• Provide weekly and monthly revenue reporting and forecasts with data-backed, actionable insights for internal stakeholders.
• Collaborate with the Marketing team to guide marketing budgets and campaign strategies based on property performance, lease-up timelines, and market conditions.
• Support budgeting and financial planning by contributing revenue assumptions and scenario analysis.
• Serve as a strategic data advisor to internal stakeholders, helping interpret trends and metrics that influence decisions across all business verticals.
• Maintain and refine dynamic pricing models that inform rent setting, concessions, and marketing investment decisions.
• Analyze internal leasing, occupancy, and traffic data, alongside third-party market intelligence (i.e., rent comparable, absorption, supply/demand trends) to identify pricing opportunities and risks.
• Stay abreast of industry trends and emerging tools in pricing, demand forecasting, and multifamily analytics.
• Develop and maintain reporting and analytical frameworks to monitor performance, support decision-making, and optimize overall financial outcomes.
• Use advanced data analytics, predictive modeling, and data visualization tools to uncover trends, forecast performance, and drive actionable insights.
• Partner with on-site and regional operations teams to ensure execution of pricing and incentive strategies.

Requirements

The ideal candidate will have a strong background and interest in data analytics, with the ability to generate data-driven insights, build sophisticated models, and use advanced analytical tools and technologies to guide strategic decision-making.

As we are a highly collaborative team, this role is on-site full-time, and the successful candidate will be required to work in the office Monday to Friday.

• Experience with property management and revenue management platforms (e.g., Yardi, RealPage, RentCafe) is considered an asset.
• Knowledge of multifamily residential operations, lease-up dynamics, and property technology systems is considered an asset.
• Strong analytical and problem-solving abilities with a keen attention to detail.
• Demonstrated track record of meeting targets and deadlines in challenging environments.
• Minimum five (5) years of progressive experience in revenue management, pricing strategy, or financial analysis, ideally within multifamily real estate, property management, hospitality, or a related industry.
• Formal training in applied statistics, predictive analytics, and optimization techniques, with the ability to translate quantitative models into practical business strategies.
• Excellent verbal and written communication skills, with the ability to present complex data clearly.
• Exceptional ability to interpret complex datasets, identify patterns and drivers, and translate findings into strategic recommendations for cross-functional teams.
• Ability to troubleshoot revenue and data integrity issues quickly, applying analytical reasoning to develop effective, data-informed solutions.
• Bachelor’s degree in Business, Finance, Economics, Data Science, Statistics, or a related field; a master’s degree in Analytics, Applied Economics, or an MBA with a quantitative focus is considered an asset.
• Advanced analytical and financial modeling skills with proficiency in Excel (macros, VBA), SQL, and business intelligence tools (e.g., Tableau, Power BI, Looker); programming languages (e.g., R, MATLAB, Mathematical, SQL, C++, Python, Java) is strongly preferred.

Benefits

We focus on our people and our culture, and offer a competitive salary, benefits, and career development opportunities. Fitzrovia’s commitment to hospitality is at the core of our DNA. To learn more about Fitzrovia, our people and our properties, visit www.fitzrovia.ca.

Training + Development

Interview process

Visa Sponsorship

Security clearance