Level

MongoDB

Real Estate Analyst

MongoDB is hiring a Real Estate Analyst in Bengaluru and Gurugram, India. Level rates it ; you can apply on MongoDB.

Level's read on this job

  • On Level's scale, this role is Uses AI ●●○○: an ordinary role that requires AI tools.
  • Some of the work can be done remotely, according to the posting.
  • The posting mentions Excel, Power BI and AI Lease Tools among its tools and skills.
  • Level classes it as a mid-level role.
  • MongoDB has 382 other open roles on Level.

AI in this role

Real estate analyst managing global office portfolios and leveraging AI tools for lease abstraction and forecasting.

excelpower-biai-lease-tools
real-financial-modelingportfolio-managementlease-negotiationmarket-research

Job Summary

This role reports to the Senior Manager, Global Real Estate Transactions, and sits within the Global Real Estate team responsible for MongoDB's portfolio of 60+ office and flex locations worldwide. The team includes Transaction Management and Project Management functions, working closely with Legal, Procurement, FP&A, and Workplace/IT partners.

Lead all aspects of the real estate transactional and operational process within the India / Asia Pac region including but not limited to; the development of real estate strategy, defining & optimizing space requirements, site selection, negotiations, improvements and property management.

We are looking to speak to candidates who are based in  Gurugram and Bengaluru for our hybrid working model.

Requirements for the Role

  • Geographic coverage: focus on Asia Pacific / India Region with transaction support to MongoDB Real Estate (RE) team on global Flex office transactions
  • 3+ years of Corporate Real Estate transaction/portfolio management experience with MNC
  • Experience influencing and driving results through external partners including leading cross-functional teams across multiple projects.
  • Experience in financial analysis and modelling
  • Experience applying AI tools to real estate portfolio management and reporting (e.g. AI-assisted lease abstraction, portfolio analytics, forecasting, or reporting/dashboard automation) strongly preferred
  • Fluency in English required, strong written and verbal communication skills
  • Analytical in approach. Process and detail-oriented
  • Strong customer service and interpersonal skills
  • Ability to lead and drive change and operate across the region
  • Demonstrated ability to manage and prioritize a heavy workload with changing requirements.
  • Ability to engage with and influence senior stakeholders and local business leaders
  • Solid organizational skills

Responsibilities:

  • Execute on Asia Pacific / India flex real estate plans to deliver on key RE portfolio metrics
  • Support Global Transactions Lead on Flex office transactions in EMEA and Americas
  • Partner with internal functions (Procurement, Legal, IT, AV, Security, ESG) and external RE providers for transaction, and project management to ensure the successful execution of real estate strategies and enable the businesses to meet their objectives.
  • Develop and maintain strong working relationships with senior management in the business across Asia Pac / India region striving to provide excellent customer service in all the aspects of delivery from the RE team.
  • Manage the integrity of data across the region to enable proactive portfolio management and optimize use of property assets across the region, exploiting cost and space reduction opportunities.
  • Support Global Transactions RE lead on strategic regional global portfolio analysis, planning & reporting including lease administration, environmental data and insurance.
  • Apply AI-driven tools and automation to improve portfolio reporting, data analysis, and decision-making across the regional real estate portfolio.
  • Apply knowledge of best practices within the real estate industry and conduct all property-related activities in line with corporate policy and procedures.
  • Collaborate with external partners including leading cross-functional teams across multiple projects ensuring clear accountability and obtaining results.
  • Daily interface with senior leaders within the business to establish their requirements, determine real estate strategies and report on progress.
  • Closely work with the Global Transactions Lead to ensure a robust and optimized transaction plan for the site and collaborate with internal Client functions to drive project planning and execution.
  • Prepare the business cases and documents for submissions

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 2273506420

How we rate this

Real Estate Analyst at MongoDB rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Real Financial ModelingPortfolio ManagementLease NegotiationMarket ResearchExcelPower BIAI Lease Tools

Questions you could be asked

  1. Tell me about a project where real financial modeling was part of your work. What did you do?
  2. Tell me about a project where portfolio management was part of your work. What did you do?
  3. Tell me about a project where lease negotiation was part of your work. What did you do?
  4. Tell me about a project where market research was part of your work. What did you do?
  5. Walk me through how you've used Excel in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Real Financial Modeling, Portfolio Management, Lease Negotiation, Market Research, and Excel. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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