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Pricing Analyst

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💎 Seniority level: Junior, 2+ years

📍 Location: United States

💸 Salary: 71040.0 - 104500.0 USD per year

🔍 Industry: Real Estate

🏢 Company: Mainstay Labs Inc.

🗣️ Languages: English

⏳ Experience: 2+ years

🪄 Skills: SQLData AnalysisExcel VBACommunication SkillsAnalytical SkillsMicrosoft ExcelCustomer serviceAccountingAttention to detailMarket ResearchData visualizationFinancial analysis

Requirements:
  • Minimum 2 years experience as an analyst in the finance, revenue, real estate, or banking sectors.
  • Best in class at difficult pricing decisions.
  • Ability to distill large amounts of data to guide decision making for customer disposition strategy.
  • Intermediate to advanced knowledge of GSheets or Excel (i.e. ability to work comfortably and extract necessary info from a large data set).
  • Able to complete tasks within guided timelines and focus time on highest priority activities.
  • Able to work non-conventional hours (our customers occasionally work with us morning, nights, and over the weekend across multiple time zones).
  • Can effectively communicate both within the team and with portfolio stakeholders (ex. Sales & Fulfillment, Data Science).
Responsibilities:
  • Setting Initial List Prices (ILP): Determine the value of client properties based on market data, submarket trends, and home condition.
  • Calculate the Return on Investment (ROI) of repairs and upgrades and communicate findings to internal and external stakeholders.
  • Fallthroughs: Make thoughtful determination on whether or not to negotiate with buyers who are ready to walk away from the resale contract due to cost or repair negotiations.
  • Buyer Offer Escalations: Evaluate buyer bids below the calculated price based on demand data, previous offers, and local market signals, to determine if offer value is fair or should be denied.
  • Appraisals: Assess external appraisals that differ from our valuation to confirm if appraisal value is fair/unfair. Make recommendations for negotiating contributions from the buyer or placing the property back on the market as appropriate.
  • Compiles market analysis information and trends and makes recommendations to stakeholders based on it.
  • Create ad hoc data analysis and storytelling for internal and external stakeholders.
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