Canada

Manager, Revenue&Data Analytics (Toronto)

Manager, Revenue&Data Analytics (Toronto)
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.This position is being created to support anticipated growth. 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. The successful candidate will be required to work in‑office.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. Key Responsibilities

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

Bachelor’s degree in Business, Finance, Economics, Management Science, Statistics, Data or Business Analytics or a related field. Master’s degree (MBA, MS in Data Science, MS in Real Estate Finance) is a differentiator for senior roles. 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.Knowledge of multifamily residential property management operations is considered an asset. Strong analytical and financial modeling skills with proficiency in Excel (macros, pivot tables), SQL (complex query writing, optimization, and troubleshooting across large datasets), and BI tools (e.g., Tableau, Power BI, Looker); experience with at least one programming language— Python or R strongly preferred for data manipulation and statistical analysis.Strong statistical literacy— regression analysis, time series forecasting, correlation, and significance testing; experience with predictive analytics and optimization. Experience with property management software (e.g., Yardi, RealPage, RentCafe) is considered an asset. Ability to troubleshoot revenue‑related issues quickly and implement effective solutions.Exceptional ability to interpret data and translate findings into strategic recommendations. Strong analytical and problem‑solving abilities with a keen attention to detail. Excellent verbal and written communication skills, with the ability to present complex data clearly. Demonstrated track record of meeting targets and deadlines in challenging environments.Benefits

Salary range: $125,000– $150,000. Our total rewards program recognizes performance, supports well‑being, and encourages growth by offering paid vacation and personal days, comprehensive benefits, wellness and mentalhealth resources, and a generous career development allowance. Fitzrovia is an equal opportunity employer and is committed to creating an inclusive environment for all our employees.

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