Remote Lease Analyst - Detail-Oriented Land Records Pro

Grizzlylandservices

Tulsa (OK)

Híbrido

USD 52.000 - 76.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

Grizzly Land Services, based in Tulsa, is seeking a highly organized Lease Analyst to join our land team. The role collaborates with Landmen, Project Managers, and management to review contracts, track lease obligations, and maintain accurate records across multiple basins.

The position is full-time and located at our Tulsa headquarters, with strong consideration for well-qualified remote candidates who can contribute from anywhere in the United States while upholding our standards of accuracy

Formación

  • 5+ years of Lease Analysis, Lease Administration, and/or Land Records.
  • Proficiency in MS Office.
  • iLandman experience strongly preferred.
  • Excellent time management skills and the ability to prioritize work.
  • Attention to detail and problem-solving skills.

Responsabilidades

  • Review / Interpret Contracts to verify, calculate or change Ownership Interests
  • Maintain accurate Lease & Contract Records in iLandman
  • Track Lease Obligations & Critical Dates
  • Assist in creation of Division-of-Interests for clients
  • Reconcile Lease and Ownership data against Source Documents
  • Assist Landmen with various tasks as assigned

Conocimientos

Lease Analysis
Lease Administration
Land Records
MS Office
Time management
Attention to detail
Communication skills
Organizational skills

Herramientas

iLandman
MS Office

Descripción del empleo

Grizzly Land Services, based in Tulsa, is seeking a highly organized Lease Analyst to join our land team. The role collaborates with Landmen, Project Managers, and management to review contracts, track lease obligations, and maintain accurate records across multiple basins.

The position is full-time and located at our Tulsa headquarters, with strong consideration for well-qualified remote candidates who can contribute from anywhere in the United States while upholding our standards of accuracy

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