Flexible Real Estate Market Data Analyst (GTA)

MoneyLion

Toronto

On-site

CAD 45,000 - 55,000

Full time

8 days ago
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Benefits offered by this job

Competitive compensation
Bonus program
Flexible work model

Job summary

Altus Group is seeking a Research/Data Specialist in Toronto to join the Real Estate Solutions team. You will help produce the New Homes Database, researching the GTA market and collaborating with multiple departments to meet project deadlines.

The role emphasizes data quality, secondary research, and stakeholder communication, with cross-functional exposure and the chance to work with industry partners and data sets.

Qualifications

  • University degree in Real Estate, business, finance, data entry, social science or another field as long as you are eager to learn about real estate.
  • Valid driver’s license is required.
  • Exceptional analytical and data entry skills with the ability to stay organized, multitask effectively, and maintain a strong attention to detail.
  • Excellent interpersonal skills, able to establish trusted relationships with industry professionals.
  • Strong written and verbal communication skills.
  • Proficient in use of database and word processing applications including Excel, Word and PowerPoint.

Responsibilities

  • Daily review of GSC Tracking file. Validate and resolve data issues daily to improve data quality and meet market requirements, including verbal communication and monitoring other secondary data sources.
  • Review broker reports, stakeholder/government websites, press releases, and other sources for secondary research validation.
  • Communicate verbally with stakeholders for secondary research updates not handled by GSC. Enter and update secondary research data in the system. (i.e. inventory and market expansions, new supply deliverables, direct requests, data validation from GSC entries, New Homes Now Selling, Sold Out, and Cancelled Project Data, etc.)
  • Prioritize and resolve any data issues identified by the Team Lead through regular data audits to enhance data quality and meet market requirements in a timely manner. Conduct regular data audits, and elevate issues to Team Lead as needed.
  • Update secondary research data in the system as necessary. Triage direct inquiries from stakeholders based on task (GSC-related, system/technical issues, local market expertise, etc.)
  • Assist in preparing source data for primary research, ensuring accuracy and completeness.
  • Conduct historical data updates (additions, area changes, deletions, construction status changes, classification changes, etc.)
  • Resolve any client inquiries regarding record and process inquiries in a timely manner (direct or delegated by Team Lead). Triage any other requests as necessary to Team Lead, Customer Success, Support, Account Mgmt or IT.
  • Conduct property site visits (as necessary) and liaise with property stakeholders and brokers to gather value-added metrics for secondary research via verbal, email, or in-person communication.
  • Establish and maintain industry relationships with stakeholders through real estate events and networking to improve data cooperation and acquire data for secondary research focusing on value-added metrics (as needed)
  • Gain comprehension and training of all core Data Solution products. Complete product competency review.
  • Ability to conduct secondary research for all core Data Solutions products (as necessary)

Skills

Analytical skills
Data entry
Interpersonal skills
Written and verbal communication
Excel/PowerPoint

Education

University degree in Real Estate, business, finance, data entry, social science or related field

Job description

Altus Group is seeking a Research/Data Specialist in Toronto to join the Real Estate Solutions team. You will help produce the New Homes Database, researching the GTA market and collaborating with multiple departments to meet project deadlines.

The role emphasizes data quality, secondary research, and stakeholder communication, with cross-functional exposure and the chance to work with industry partners and data sets.

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