National Property Tax Analyst
Company: O'Connor & Associates
Location: Houston
Posted on: February 16, 2026
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Job Description:
Job Description Job Description Description: Job Summary: The
purpose of this position is to monitor and manage the quality of
the company’s existing and expanding real estate databases and
informational systems. Will work with U.S. and International
computer programming, data entry and quality control teams to
ensure superior information and quality control systems are
employed. Job Responsibilities: Preparing high volume analysis
requests. Prepare evidence for multiple agent hearings – income,
equity and others. Collect and interpret data. Analyze confidential
clients financial data. Analyze results and provide ongoing
reports. Other duties as required. Requirements: Analytical Skills:
Data analysts work with large amounts of data: facts, figures, and
number crunching. You will need to see through the data and analyze
it to find anomalies and uniformity. Communication Skills: Data
analysts are often called to present their findings, or translate
the data into an understandable document. You will need to write
and speak clearly, easily communicating complex ideas. Critical
Thinking: Data analysts must look at the numbers, trends, and data
and come to new conclusions based on the findings. Attention to
Detail: Data is precise. Data analysts have to make sure they are
vigilant in their analysis to come to correct conclusions. Math
Skills: Data analysts need strong math skills to work effectively
with numerical data. Real Estate background preferred. College
degree in business preferred. Convey professionalism and inspire
confidence. Strong initiative, independent judgment, and ability to
learn. Professional telephone and customer service skills.
Excellent verbal and written communication skills. Organizing and
prioritizing skills. Proficiency with Microsoft Excel, Word, and
Outlook.
Keywords: O'Connor & Associates, Bryan , National Property Tax Analyst, Administration, Clerical , Houston, Texas