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As a Pricing Analyst, you are the primary engine for pricing conviction at Mainstay, translating complex market signals into high-stakes strategies for our institutional partners. This is not a back-office reporting role; you will own the outcomes end-to-end, serving as the final word on pricing for your portfolio. You won’t just create CMAs and Listing Price Reviews - you will lead them, using market data and sharp intuition to recommend prices that balance velocity with partner yield.
Job Responsibility:
Defend pricing conviction to institutional partners by synthesizing disparate data into clear, defensible valuation strategies
Execute the Listing Price Review (LPR) cadence independently, identifying underperformance and deploying pricing corrections
Surface pricing patterns and insights that reduce repeat mistakes and improve portfolio performance
Partner with Brokerage, Operations, and Engineering to scale pricing intelligence
Proactively mitigate portfolio risk by anticipating market shifts and adjusting strategies across multiple regions
Requirements:
Deep background in real estate (ideally SFR or REITs) with a track record of closed deals where pricing accuracy was the primary driver of success
Ability to interpret AVMs and market signals critically, making high-conviction calls even when data is messy or incomplete
Analytical rigor to balance individual asset performance with broader clearance goals and partner yield strategies
Bias for action and ability to independently run the Listing Price Review (LPR) cadence
Comfortable defending recommendations to smart, skeptical stakeholders
Highly proficient with metrics like Days on Market (DOM), price-to-close ratios, and trend analysis
Experience managing and extracting insights from large, multi-market data sets, using data visualization or advanced reporting tools
Experience with data manipulation tools (e.g. SQL, Python or advanced Tableau/PowerBI) to automate reporting or conduct deep-dive analysis into portfolio performance
Nice to have:
Deep familiarity with the Single-Family Rental asset class and how it differs from traditional retail real estate
Experience with yield metrics (Cap Rates, IRR) and an understanding of how pricing impacts an institutional fund’s bottom line
Ability to use Excel or internal tools to forecast outcomes based on various pricing scenarios
Proven ability to build scalable reporting frameworks that translate raw data into actionable business intelligence for executive leadership