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Manager, Revenue & Data Analytics
Manager, Revenue & Data AnalyticsFitzrovia • Toronto, ON, Canada
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Manager, Revenue & Data Analytics

Manager, Revenue & Data Analytics

Fitzrovia • Toronto, ON, Canada
30+ days ago
Job type
  • Full-time
Job description

About the Role :

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.

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.

At Fitzrovia, we pride ourselves on being an entrepreneurial and innovative organization, which makes this role well suited for a candidate looking to roll up their sleeves, wear multiple hats and contribute to all aspects of real estate investment and development.

As we are a highly collaborative team, the successful candidate will be required to work in-office [OR] on-site full-time.

This position is being created to support anticipated growth. The salary range for this position is $125,000 - $150,000, based on skills and experience. Our total rewards program recognizes performance, supports well-being, and encourages growth by offering paid vacation and personal days, comprehensive benefits, wellness and mental health resources, and a generous professional development allowance.

Fitzrovia uses AI-enabled tools to assist in screening and assessing applications. Final hiring decisions are made by Fitzrovia’s hiring team.

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 intelligence (i.e., rent comparable, absorption, supply / demand trends) to identify pricing opportunities and risks.
  • Maintain and refine dynamic pricing models that inform rent setting, concessions, and marketing investment decisions.
  • Use advanced data analytics, predictive modeling, and data visualization tools to uncover trends, forecast performance, and drive actionable insights.
  • 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 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.
  • 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.
  • Support budgeting and financial planning by contributing revenue assumptions and scenario analysis.
  • 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, 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.
  • 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 operations, lease-up dynamics, and property technology systems 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.
  • Formal training in applied statistics, predictive analytics, and optimization techniques, with the ability to translate quantitative models into practical business strategies.
  • Experience with property management and revenue management platforms (e.g., Yardi, RealPage, RentCafe) is considered an asset.
  • Ability to troubleshoot revenue and data integrity issues quickly, applying analytical reasoning to develop effective, data-informed solutions.
  • Exceptional ability to interpret complex datasets, identify patterns and drivers, and translate findings into strategic recommendations for cross-functional teams.
  • 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.
  • Why Fitzrovia :

    Fitzrovia is a vertically integrated development and asset manager focused on Class-A and vintage-style apartment buildings across the Greater Toronto Area (GTA) and Montreal. Fitzrovia provides best-in-class development, construction, property and asset management with a focus on design, active lifestyle management and exceptional customer service.

    Fitzrovia partners with public institutions, pension funds and high net worth investors who have a bias towards long-term cash flow generating assets. The company is the largest developer of purpose-built rental apartments in Canada with over $9 billion of assets under management.

    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 .

    Fitzrovia is an equal opportunity employer and is committed to creating an inclusive environment for all our employees. If you require reasonable accommodation during the recruitment process, please reach us at careers@fitzrovia.ca.

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    Manager Revenue Data Analytics • Toronto, ON, Canada

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