Senior Real Estate Strategy & Analytics Analyst

Salesforce, Inc.

San Francisco (CA)

On-site

USD 94,000 - 142,000

Full time

5 days ago

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Benefits offered by this job

Time off programs

Medical

Dental

Vision

Mental health support

Paid parental leave

Life and disability insurance

401(k)

Employee stock purchasing program

Job summary

Salesforce is seeking a Senior Analyst for Real Estate Strategy and Planning to turn portfolio, workforce, occupancy and market data into actionable insights. You will build dashboards, scenarios and interactive materials to empower leaders in metro and country portfolio decisions, partnering with Strategic Finance, Transactions and other REWS teams.

The role focuses on data-driven analysis, AI-enabled tools, and market intelligence to support multi-country real estate strategies, with strong

Qualifications

3-5 years of experience in real estate strategy, analytics, consulting, FP&A or related field.
Strong analytical and data skills, including advanced Excel and BI/AI tools to automate analysis and build dashboards.
Experience supporting scenario analysis and business modeling for strategic decisions.
Strong PowerPoint and storytelling skills with the ability to present to senior audiences.
High attention to detail, organization and data accuracy while managing competing priorities.
Proactive self-starter who adapts to shifting priorities and collaborates across teams.
Bachelor's degree in Business, Finance, Economics, Real Estate, Data Analytics or related field.

Responsibilities

Data analysis: Analyze portfolio, lease, headcount, hiring forecast, occupancy and utilization data to identify trends, risks and opportunities.
Metro strategy: Build the fact base for key metros and help develop options to consolidate, expand, relocate or hold.
Country portfolio strategy: Support country-level strategies with footprint benchmarks, cost and occupancy profiles, and long-range planning inputs.
Supply and demand planning: Model real estate supply vs. demand, track critical dates and space requirements, and flag gaps or surplus early.
Scenario analysis: Build and run portfolio scenarios and provide data inputs for financial modeling and deal planning.
Dashboards and metrics: Build and maintain dashboards and interactive tools for KPIs such as cost per seat and utilization.
AI-enabled analysis: Use AI tools to automate data analysis and speed up scenario work.
Market intelligence: Use external data platforms to gather market insights.
Presentation materials: Create exec-ready decks and summaries to support project approvals.