Specialist, Asset Management
$66,525–$115,310 year
RemoteUnited States
Job Summary
Drive field-level capital reinvestment programs across 16 markets by collaborating with operations teams to execute approved projects on schedule and within budget. Track and report capital deployment performance at individual asset and market levels while reviewing and approving project proposals in compliance with established workflows. Develop market-level business plans, including renovation ROI analysis, hold/sell recommendations, and reinvestment strategies using Tableau, Power BI, and predictive analytics tools. Analyze data from the Enterprise Data Warehouse, Yardi, and Salesforce to identify portfolio performance outliers, forecast NOI and rent growth, and support disposition or reinvestment timing decisions. Review properties for disposition using hold/sell analysis frameworks including IRR and cap rate benchmarking, presenting recommendations to investment leadership for portfolio rebalancing. Prepare and review key financial metrics such as NOI per asset, occupancy rates, and return on capital to provide guidance to investment management. Requires a Bachelor's degree in finance, real estate, or business with 1-3 years of experience in financial/data analysis or institutional real estate. Salary range $66,525.00 - $115,310.00 plus discretionary bonus.
Required Qualifications
- Bachelor's degree in finance, real estate, business, AI, economics, or a related field
- 1-3 years of experience in financial/data analysis, investment analysis, institutional real estate, or SFR/BTR residential acquisitions or asset management
- Prior experience in single-family rental, build-to-rent, or institutional residential real estate
- Familiarity with SFR market dynamics, per-home economics, and asset lifecycle management
- Financial modeling, business analytics, and/or other real estate experience
- Working proficiency in Python, R, or SQL
- Working proficiency in Python or SQL for data querying, manipulation, and analysis
- Ability to build or maintain analytical models in a scripting environment
- Experience with BI and visualization platforms (Tableau, Power BI, or equivalent)
- Ability to build and maintain executive-ready dashboards
- Comfort interpreting automated valuation models, predictive maintenance schedules, or rent growth forecasts
- Familiarity with real estate and SFR-specific data platforms (Yardi, Salesforce, CoStar, JBREC, or similar)
- Familiarity with cloud data environments (Snowflake, Databricks, or equivalent)
- Understanding of SFR and institutional residential real estate fundamentals: cap rates, NOI, IRR, hold/sell analysis, disposition strategy, and asset lifecycle management
- Comfort with basic finance and accounting theory with the ability to read and comprehend financial statements
- Ability to translate complex data and financial analyses into clear, actionable recommendations for leadership
- Self-starter with a strong sense of ownership and accountability
- Comfortable operating autonomously in a fast-paced, dynamic environment
- Well-developed written and verbal communication skills
- Excellent interpersonal and organizational skills
- Ability to multi-task, maintain flexibility, set and meet goals, and consistently meet deadlines
- Ability to maintain confidentiality of sensitive business information
- Some travel to support field market visits and program reviews
- Ability to be at work on a regular and consistent basis
- Overtime availability
- Current driver's license
- Automobile insurance
- Light lifting of supplies and materials occasionally, up to and including 20 pounds
Desired Qualifications
- Advanced degree (MS, MBA)
- Exceptional recent college graduates
- Advanced data science methods (regression, clustering, predictive modeling)
- Experience with data visualization in Tableau or Power BI
- Experience with generative AI tools for reporting or data synthesis
- Experience with AI and machine learning outputs in a real estate or analytical context
- Comfort working with AI and machine learning outputs in a real estate or analytical context
- Experience with generative AI tools for reporting or data synthesis
- VBA
- Ability to design new and/or refine existing analyses and processes to improve the Asset Management team's productivity, accuracy, and efficiency
- Experience with cloud data environments (Snowflake, Databricks, or equivalent)
- Familiarity with SFR and institutional residential real estate fundamentals: cap rates, NOI, IRR, hold/sell analysis, disposition strategy, and asset lifecycle management
- Ability to build and maintain executive-ready dashboards
- Comfort interpreting automated valuation models, predictive maintenance schedules, or rent growth forecasts
- Familiarity with real estate and SFR-specific data platforms (Yardi, Salesforce, CoStar, JBREC, or similar)
- Familiarity with cloud data environments (Snowflake, Databricks, or equivalent)
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