AI-Driven Lease Data Specialist (Hybrid)

Aquent (United States)

San Jose (CA)

Hybrid

USD 98,000 - 128,000

Full time

9 days ago

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Benefits offered by this job

W2 pay weekly
Benefits
401k with match

Job summary

Aquent is seeking a meticulous Lease Abstractor to join our finance team in San Jose, CA. This in-office/hybrid role contracts full-time for 40 hours per week, with duration through 10/18/2027. You will accurately interpret and abstract lease documents, maintaining data integrity for lease accounting and payments.

Responsibilities include updating lease software, handling operating expense adjustments, and contributing to AI initiatives and software migrations shaping our financial operations.

Qualifications

  • Ability to review, interpret, and accurately abstract complex real estate documents.
  • Proven track record managing multiple priorities in a fast-paced environment.
  • Exceptional attention to detail and strong interpersonal skills for collaboration.
  • Excellent oral and written communication skills, capable of conveying complex information clearly.
  • Proficiency in Excel and data analysis.

Responsibilities

  • Interpret and abstract lease documents with high accuracy in the system of record.
  • Verify and update lease information in the software to reflect current terms.
  • Review operating expense adjustments for reasonability and approvals.
  • Support lease software migrations and AI-focused initiatives within finance operations.

Skills

Excel
Financial analysis
Attention to detail
Communication

Education

Bachelor’s degree in Accounting/Finance

Tools

Tririga
SAP

Job description

Aquent is seeking a meticulous Lease Abstractor to join our finance team in San Jose, CA. This in-office/hybrid role contracts full-time for 40 hours per week, with duration through 10/18/2027. You will accurately interpret and abstract lease documents, maintaining data integrity for lease accounting and payments.

Responsibilities include updating lease software, handling operating expense adjustments, and contributing to AI initiatives and software migrations shaping our financial operations.

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