Analyst - Real Estate

Job Description

What You’ll Do This position reports to Director, Portfolio Strategy & Analytics and is part of the COE function providing financial analysis, data analytics, reporting, and transaction support on key GRE projects and initiatives. Job Responsibilities Execute all GRE reporting, dashboard or other reporting tools such as Power BI to track key real estate portfolio metrics and monitor performance. Conduct monthly quality checks aligned to location governance to ensure data accuracy and integrity Maintain and update real estate database (CoStar) to ensure timely and accurate entry of non-lease data; assign and manage location IDs for newly acquired or established properties Assist with design and implementation of set of standardized GRE templates and tools for stakeholder discussions and presentations as well as with preparation of playbooks on best practices and standard operating procedures for all GRE related activities Support sustainability reporting for real estate portfolio for ESG disclosures and compliance initiatives Administer and maintain GRE MS team site as the centralized depository and key mode of distribution channel for all key real estate data, analytics, playbooks, tools, and all other related materials Administer and maintain Real Estate inbox and calendar as key centralized communication channel with internal and external GRE stakeholders Manage any vendor or landlord payment and/or any other property/lease specific issues with timely coordination and communications among internal stakeholders Assist GRE Managers and key internal customers with preparation and completion of support for Capital Appropriation Request(s) Work on any ad-hoc special projects as assigned Qualifications Bachelor's Degree in business, finance or related field required 3 - 4 years proven experience in Corporate Real Estate, Finance or Data Analysis. Skills Real estate practices, familiarity with real estate finance, accounting, and legal concepts Skilled in MS Excel and ability to analyze and synthesize large amount of raw dataset and turn them into meaningful analysis. Tech, digital mindset Experienced in Power Point and other data presentation tool such as Power BI Strong analytical, reasoning, organization, and problem-solving skills Ability to multi-task and work well under deadlines Must have strong written, verbal and communication skills Requires the ability to be flexible, adaptable and to deal with ambiguity and change. ]]>