Senior Real Estate Financial Valuation Analyst

Join Albertsons Companies in Boise, Idaho (onsite) as a Senior Real Estate Financial Valuation Analyst, supporting data-driven investment decisions for the retail grocery real estate portfolio. The role combines disciplined valuation work with decision-ready communication, with access to training and career growth in an inclusive environment.

What you’ll do

• Serve as the Sr. Manager’s day-to-day analytical partner by coordinating deliverables, resolving issues, maintaining momentum across valuation priorities, and keeping visibility on active assignments, due dates, dependencies, risks, and stakeholder needs.
• Perform rigorous, consistent financial analyses that improve the quality, speed, transparency, and comparability of real estate investment decisions.
• Provide independent analytical challenge by identifying key value drivers and risks, converting findings into concise recommendations for business leaders and committees.
• Maintain disciplined valuation models including assumptions, controls, documentation, and post-investment feedback loops to support reproducible, audit-ready analysis.
• Advance process improvement through standardized data, scalable models, automation, advanced analytics, and responsible use of AI-enabled tools while maintaining human review and confidentiality.
• Support analyst development through technical guidance, model review, and knowledge sharing.
• Lead end-to-end financial valuation for real estate and store investments, including new stores, relocations, remodels, expansions, acquisitions, lease renewals, option exercises, restructurings, dispositions, sale-leasebacks, surplus property strategies, and other store initiatives.
• Build and maintain decision models including discounted cash flow, net present value, internal rate of return, payback, residual value, lease-versus-own, and other models appropriate to each investment type.
• Develop scenario, sensitivity, break-even, and risk analyses to identify assumptions and business drivers most likely to change investment outcomes.
• Integrate store-level P&L performance, sales and margin expectations, capital requirements, occupancy costs, lease economics, market conditions, cannibalization, competitive impacts, and portfolio considerations into investment analyses.
• Assess incomplete or conflicting information by validating source data, documenting assumptions, and escalating material gaps or risks to the Sr. Manager.
• Use enterprise valuation methodologies with consistent model architecture, documentation requirements, review thresholds, and approval controls across assignments.
• Conduct detailed quality reviews by testing calculations, validating inputs, challenging unsupported assumptions, and ensuring alignment with company standards across financial models and committee materials.
• Coordinate with Accounting, Finance, and Legal on valuation inputs, lease accounting considerations, financial reporting requirements, and transaction structures as directed.
• Analyze portfolio performance to identify underperforming assets, expiring commitments, value-at-risk, redevelopment potential, and opportunities to reposition, renegotiate, relocate, consolidate, or divest.
• Combine valuation results with insights from Real Estate Analytics, Market Research, Operations, and Finance to support portfolio-level comparisons and prioritization views within capital and resource constraints.
• Execute post-investment reviews to compare actual performance with approved underwriting, identify variance drivers, and improve future assumptions and decisions.
• Monitor key performance indicators and emerging risks across approved investments, flagging material changes in expected value or payback.
• Prepare executive-ready valuation summaries, investment memoranda, committee materials, dashboards, and presentations that clearly state recommendations, economics, risks, alternatives, and required decisions.
• Support governance processes including capital committees, real estate governance forums, and senior leadership discussions with analysis validation, issue resolution, and follow-up tracking.
• Represent the valuation team in cross-functional working sessions as delegated, ensuring decisions, assumptions, and follow-up actions are documented.
• Partner with Data Engineering, Data Science, Technology, and analytics teams to strengthen the data used in underwriting, portfolio analysis, forecasting, and post-audits.
• Develop decision-ready reporting and dashboards using Excel, Power BI, SQL, and related analytical tools.
• Document methodologies, assumptions, data lineage, controls, and operating procedures to support transparency, knowledge transfer, and business continuity.

What you bring

• Bachelor’s degree in Finance, Accounting, Real Estate, Economics, Business, or a related quantitative field.
• MBA, CFA, ASA, MAI, or another relevant advanced credential is preferred.
• 5 or more years of progressive experience in real estate valuation, investment analysis, corporate finance, capital planning, transaction advisory, or a related field.
• Demonstrated experience developing complex financial models and translating results into investment recommendations.
• Experience supporting retail, grocery, multi-site, or large portfolio real estate decisions is strongly preferred.
• Experience preparing materials for senior leadership, investment committees, or other executive decision-making forums is preferred.
• Advanced financial modeling and valuation expertise including DCF, NPV, IRR, payback, scenario analysis, sensitivity analysis, and lease-versus-own evaluation.
• Strong understanding of retail real estate economics, store-level financial performance, lease structures, capital investment, portfolio strategy, and transaction processes.
• Ability to evaluate complex and incomplete information, identify key value drivers, challenge assumptions constructively, and form a clear, supportable recommendation.
• Advanced Excel proficiency and experience building controlled, scalable financial models; working proficiency in Power BI and SQL is strongly preferred.
• Demonstrated ability to use AI tools, automation, and advanced analytics to improve modeling, accelerate workflows, strengthen documentation and quality review, and produce decision-ready insights.
• Working knowledge of Python, R, workflow automation, GIS, or comparable analytical tools, including the ability to use AI tools to develop, test, troubleshoot, and document analytical solutions.
• Strong written and verbal communication skills, simplifying complex analyses without losing financial rigor.
• Excellent organization, project management, prioritization, and cross-functional partnership skills.
• High attention to detail with a disciplined approach to data validation, model review, documentation, and quality control.
• Ability to operate with substantial independence, manage multiple high-priority deadlines, and serve as a dependable day-to-day partner to the Sr. Manager.
• High standards for ethics, confidentiality, objective analysis, and compliance with company policies and controls.

Tools you’ll use

• Excel, Power BI, SQL, Python, R, GIS, AI-enabled tools, AI tools

Benefits

• Competitive wages paid weekly
• Access to up to 50% of your earned wages before payday through Stream
• Associate discounts
• Health and financial well-being benefits for eligible associates (Medical, Dental, 401k and more!)
• Time off (vacation, holidays, sick pay). For eligibility requirements please visit myACI Benefits
• Leaders invested in your training, career growth and development
• An inclusive work environment with talented colleagues who reflect the communities we serve

Travel

Limited travel may be required based on business needs.