Colliers

Colliers

Property Assistant

Lake Forest, Illinois, United States of America · Full-time

No sponsorshipDetected 9 days ago
Customer SupportCommunicationOrganizational Skills

About the role

  • At Colliers it's not our success that sets us apart, it's how we achieve it.
  • Our people are passionate, take ownership and always do what's right for our clients, people and communities.
  • Your superior communication and organizational skills mean that you are able to respond to tenant inquiries, you exude professionalism, and your customer service skills are second to none.

Responsibilities

  • Make your next move an expert one and join us as we lead the industry into the future.

Requirements

  • Minimum of 2 years' experience in a similar role within commercial real estate.
  • Ability to meet deadlines without compromising accuracy, excellent product quality and attention to detail.
  • Familiarity with real estate software such as Yardi, MRI, etc.
  • Experience with contracts and leasing agreements.
  • Applicants must be currently authorized to work in the United States on a full-time basis.

Compensation

  • Our compensation ranges are determined by role, level, and location.

Benefits

  • Employees (and their families) are provided options for employer subsidized medical benefits including RX, dental, vision as well as employer paid basic life/AD&D insurance and short-term / long-term disability.
  • Employees will also receive 10 sick days and a minimum of 15 vacation days annually.
  • Certain senior-level roles are eligible for unlimited time off.
  • Employees may also be permitted up to 4- 12 weeks of paid parental leave depending on eligibility criteria.
  • Individuals may be eligible for different or additional benefits under applicable state law.

Equal opportunity

  • equal opportunity employer.

Visa & Work Authorization

  • Applicants must be currently authorized to work in the United States on a full-time basis.

This listing is sourced directly from Colliers's careers page and normalized into a canonical job model.