Senior Research Analyst (CSM) (A-ATC)

Position Summary:

The Senior Research Analyst identifies, researches, and maintains property-level information including property attributes, space listings, lease transactions, sales transactions, and tenant information about occupancy in a property data set for their assigned metro for both member and non-member commercial real estate brokers, REITS, companies, investors and any entity who requires high-quality real estate data and insights. Data collected is input into the system at a specified pace and at a 96% quality level requiring routine audits of database integrity performed by the team leads and the Senior Research Analysts.

Job Details:

• Hybrid - Eastwood, Libis, QC
• Monday – Friday | flexible schedule between 6AM – 10 AM start and 3PM – 7PM end (Manila time)

Responsibilities:

• Collect required fields for all modules located in the system including Property, Leasing, Tenant, Listing and Sales on all available properties in assigned metro through automated processes, telephone inquiry, online research, and other data sources.
• Extracts information from data sources, according to the specified data plan, and inputs the data into the system.
• Inputs and/or validates data collected by the Field Research Drive Teams into the software database.
• Perform routine audits to validate information and ensure consistency of data records in the system.
• Perform special project duties as assigned and required to support the business.
  

Qualifications:

• 3+ years of experience in a fast-paced, data onboarding and curation environment.
• Knowledge of commercial or residential real estate is preferred but not required.
• Ability to read and follow a standard city/street map.
• Ability to navigate the internet efficiently and locate critical data points for property updating
• Accurate keyboarding skills and minimum 35 wpm typing speed.
• Customer service, quality written communication, and professional telephone skills.
• Must be self-directed, with the ability to plan daily, and weekly tasks with minimal supervision.
• MS Excel spreadsheet skills are highly preferred.
• Power BI, Python, Java, SQL knowledge and experience a plus