Senior Valuation Analyst (Real Estate)

Albertsons Companies • Boise, ID

2h

About The Position

The Senior Valuation Analyst (Real Estate) is a highly analytical, results-oriented professional responsible for executing financial valuation, investment analysis, and decision support for Albertsons Companies’ retail grocery real estate portfolio. Reporting to the Sr. Manager, Real Estate Financial Valuation, the role serves as the Sr. Manager’s day-to-day analytical partner by coordinating priorities, advancing analyses, maintaining valuation standards, and delivering accurate, high-quality work on time.

The position collaborates with Real Estate, Finance, Capital Planning, Operations, Market Research, Accounting, Legal, Data Science, Technology, and other business partners. It translates real estate economics, store performance, market dynamics, and risk into clear, supportable insights and recommendations for investment and portfolio decisions. The analyst also supports portfolio strategy, executive and committee decision-making, analytical workflow leadership, process improvement, and development of other analysts.

The role may require limited travel based on business needs. Candidates must inform their manager of their desire to apply for a new position before applying.

Requirements

• Bachelor’s degree in Finance, Accounting, Real Estate, Economics, Business, or a related quantitative field.
• At least 5 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.
• 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, constructively challenge assumptions, and form clear, supportable recommendations.
• Advanced Excel proficiency and experience building controlled, scalable financial models.
• 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, including the ability to simplify complex analyses without losing financial rigor.
• Excellent organization, project management, prioritization, and cross-functional partnership skills.
• High attention to detail and a disciplined approach to data validation, model review, documentation, and quality control.
• Ability to work 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.
• Limited travel may be required based on business needs.
• Inform your manager of your desire to apply for a new position before applying.

Nice To Haves

• MBA, CFA, ASA, MAI, or another relevant advanced credential.
• Experience supporting retail, grocery, multi-site, or large-portfolio real estate decisions.
• Experience preparing materials for senior leadership, investment committees, or other executive decision-making forums.
• Experience leading analytical workstreams, coordinating cross-functional deliverables, or providing technical guidance to other analysts.
• Working proficiency in Power BI and SQL.

Responsibilities

• Act as the Sr. Manager’s day-to-day analytical partner, managing workflow, coordinating deliverables, resolving issues, and maintaining momentum across valuation priorities.
• Execute rigorous and consistent financial analyses to improve the quality, speed, transparency, and comparability of real estate investment decisions.
• Provide independent analytical challenge, identify value drivers and risks, and turn findings into concise recommendations for business leaders and committees.
• Maintain disciplined valuation models, assumptions, controls, documentation, and post-investment feedback loops.
• Improve processes through standardized data, scalable models, automation, advanced analytics, and responsible use of AI-enabled tools.
• Support analyst development through technical guidance, model review, and knowledge sharing.
• Perform 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 discounted cash flow, net present value, internal rate of return, payback, residual value, lease-versus-own, and other decision models appropriate to each investment type.
• Develop scenario, sensitivity, break-even, and risk analyses to identify assumptions and business drivers that could change an investment outcome.
• 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 analyses.
• Assess incomplete or conflicting information, validate source data, document assumptions, and escalate material gaps or risks to the Sr. Manager.
• Communicate a clear, supportable point of view on risks, tradeoffs, alternatives, and value-creation opportunities in decision-ready language.
• Apply enterprise valuation methodologies, economic assumptions, model architecture, documentation requirements, review thresholds, and approval controls consistently.
• Maintain standardized models, assumption libraries, review checklists, version control, and audit-ready support so analyses are reproducible and transparent.
• Review financial models and committee materials, test calculations, validate inputs, challenge unsupported assumptions, and confirm consistency with company standards.
• Partner with the Sr. Manager to identify and remediate data-quality issues, control gaps, inconsistent practices, and process risks affecting investment recommendations or portfolio reporting.
• Coordinate with Accounting, Finance, and Legal on valuation inputs, lease accounting considerations, financial reporting requirements, and transaction structures as directed.
• Analyze the store and real estate portfolio to identify underperforming assets, expiring commitments, value-at-risk, redevelopment potential, and opportunities to reposition, renegotiate, relocate, consolidate, or divest.
• Combine valuation results with market, customer, competitive, operational, and portfolio insights in partnership with Real Estate Analytics, Market Research, Operations, and Finance.
• Develop portfolio-level comparisons and prioritization views to evaluate investments consistently within capital and resource constraints.
• Conduct post-investment reviews comparing actual performance with approved underwriting, identifying variance drivers, and improving 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 decisions required.
• Support the Sr. Manager in preparing for capital committees, real estate governance forums, and senior leadership discussions, including analysis validation, issue resolution, and follow-up tracking.
• Present analyses and recommendations when appropriate, respond to questions, and adapt the level of detail for financial and non-financial audiences.
• Partner with business owners to ensure proposals are complete, assumptions are supported, alternatives are evaluated, and deliverables are accurate and timely.
• Maintain visibility into active assignments, due dates, dependencies, risks, and stakeholder needs; translate leadership priorities into workplans and coordinate cross-functional inputs.
• Independently manage assigned workstreams, resolve routine issues, and escalate decisions requiring leadership judgment with a clear summary of options and implications.
• Represent the valuation team in cross-functional working sessions as delegated and document decisions, assumptions, and follow-up actions.
• Standardize and automate recurring models, workflows, reporting, and quality checks to improve efficiency, consistency, scalability, and cycle time.
• Partner with Data Engineering, Data Science, Technology, and analytics teams to strengthen 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.
• Use AI tools responsibly to support research, model development, documentation, quality assurance, scenario generation, and insight delivery while maintaining human review and confidentiality.
• Document methodologies, assumptions, data lineage, controls, and operating procedures to support transparency, knowledge transfer, and business continuity.

Benefits

• Competitive wages paid weekly.
• Access to up to 50% of earned wages before payday through the company’s partnership with Stream.
• Associate discounts.
• Health and financial well-being benefits for eligible associates, including medical, dental, and 401(k).
• Time off, including vacation, holidays, and sick pay, subject to eligibility requirements.
• Training, career growth, and development.
• An inclusive work environment with colleagues who reflect the communities served.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior