Specialist, Asset Management

About the role

The Specialist of Asset Management provides analytical and operational support on company-wide Asset Management programs and projects designed to strategically reinvest capital within the owned single-family rental (SFR) portfolio across 16 markets. This role drives field-level capital program execution, leverages advanced analytics and AI-assisted tools to optimize asset-level NOI performance, and partners closely with corporate and field teams as well as external investors and partners. The position reports to the Senior Manager, Asset Management.

Responsibilities

• Collaborate with operations teams and other cross-functional business verticals to facilitate, execute, and expand capital reinvestment programs across all markets.
• Track and report on capital deployment and program performance at both the individual asset and market level; partner with field teams to ensure approved projects are executed on schedule and within budget.
• Review and approve project proposals in compliance with established processes, workflows, and authority levels.
• Support the development of market-level business plans, including renovation program ROI analysis, hold/sell recommendations, and market-specific reinvestment strategies.
• Develop and administer dashboards, analyses, and reports across all reporting cadences (ad-hoc as needed) using Tableau, Power BI, and other intelligence platforms.
• Leverage internal dashboards, predictive analytics tools, and automated valuation models (AVMs) to identify portfolio performance outliers, forecast NOI and rent growth, and support disposition or reinvestment timing decisions.
• Analyze data and identify trends and key findings in quantitative and qualitative data sets from the company’s internal Enterprise Data Warehouse, Yardi, Salesforce, Tableau, and other systems.
• Support automation of reporting across internal software platforms and maintain financial and operational reporting dashboards and data visualizations.
• Identify opportunities to design new and/or refine existing analyses and processes to improve the Asset Management team’s productivity, accuracy, and efficiency over time.
• Utilize generative AI tools to accelerate data synthesis, reporting, and research tasks where appropriate.
• Review, analyze, and recommend properties for disposition using hold/sell analysis frameworks including IRR, cap rate benchmarking, and market comparable methodologies; present recommendations to investment leadership for portfolio rebalancing decisions.
• Support and enhance financial modeling and forecasting processes, including annual budget preparation in coordination with corporate departments.
• Provide financial guidance to investment management leadership through preparation, review, and analysis of key financial metrics including NOI per asset, occupancy rates, rent growth, and return on capital.
• Support ad-hoc analyses and projects as directed.

Requirements

• Bachelor’s degree in finance, real estate, business, AI, economics, or a related field required; advanced degree (MS, MBA) is a plus.
• 1-3 years of experience in financial/data analysis, investment analysis, institutional real estate, or SFR/BTR residential acquisitions or asset management is preferred; exceptional recent college graduates will be considered.
• Prior experience in single-family rental, build-to-rent, or institutional residential real estate strongly preferred; familiarity with SFR market dynamics, per-home economics, and asset lifecycle management is a meaningful differentiator.
• Financial modeling, business analytics, and/or other real estate experience required.
• Working proficiency in Python, R, or SQL expected; advanced data science methods (regression, clustering, predictive modeling) are a strong plus.
• Experience with data visualization in Tableau or Power BI preferred.
• 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 is a plus.
• Current driver’s license and automobile insurance.
• Some travel may be required to support field market visits and program reviews.
• Authorization to work in the United States.

Skills

Technical & Analytical

• Proficiency with Microsoft Office applications (Excel, PowerPoint, Word, Outlook) including advanced Excel skills (pivot tables, complex formulas, financial modeling) required; VBA a plus.
• 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) and cloud data environments (Snowflake, Databricks, or equivalent) preferred.

Real Estate & Business Acumen

• 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.

Professional & Interpersonal

• 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 with 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.

Pay

The salary range for this position is $66,525.00 - $115,310.00, plus eligibility for an annual discretionary bonus. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications, location, and applicable employment laws.

Benefits

• Annual bonus program.
• Health, dental, vision, and life insurance.
• Long-term and short-term disability insurance.
• Generous paid time off plans including vacation accrual, sick time, standard holidays, and floating holidays.
• 401(k) with company matching contributions.
• Casual work environment.
• Team events and gatherings.