Job Description
Job Description
Aventine Properties LLC is looking an Administrative Assistant for its Real Estate Tax Grievance Business. We are looking for a reliable and motivated full-time person for our Huntington Station office.
While Tax Grievance Experience is not required, the ideal applicant must : be willing to be handle all type of job assignments from mailing / filing to assisting with case preparation.
Great opportunity to learn processes and procedures. Must have a positive attitude, and be organized and thorough. Having the ability to multi-task is a plus as this position will assist in performing various activities like :
- Answering customer calls / queries
- Administrative Tasks and Support
- Helping with in-house mailings and marketing
Please submit your resume with a cover letter.
Job Type : Full-time or Part-Time
Company Description
Aventine Properties LLC is a licensed tax grievance consultant and real estate broker serving the New York counties of : Nassau, Orange, Putnam, Rockland, Suffolk, Westchester Dutchess, Ulster and Sullivan.
Aventine specializes in representing clients who are significantly over assessed to reduce property assessment. The core of our competitive advantage is our patent-pending proprietary, state-of-the-art statistical system which analyzes the real estate markets.
The system is designed to analyze today’s real estate markets as opposed to traditional approaches using stale, historical data.
Company Description
Aventine Properties LLC is a licensed tax grievance consultant and real estate broker serving the New York counties of : Nassau, Orange, Putnam, Rockland, Suffolk, Westchester Dutchess, Ulster and Sullivan.
Aventine specializes in representing clients who are significantly over assessed to reduce property assessment. The core of our competitive advantage is our patent-pending proprietary, state-of-the-art statistical system which analyzes the real estate markets.
The system is designed to analyze today’s real estate markets as opposed to traditional approaches using stale, historical data.