Pereview Software

Real Estate Data Analyst

Pereview Software  •  Dallas, TX (Onsite)  •  3 months ago
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Job Description

Join Our Growing Team at Pereview Software: Real Estate Data Analyst 

Are you analytical, detail-oriented, and passionate about helping companies make smarter data-driven decisions? Do you thrive in a fast-paced, collaborative environment where your work directly contributes to our client’s success? 

 Pereview Software is looking for a Real Estate Data Analyst to join our high-performing team. In this role, you’ll help transform how accounting and leasing data flows across our real estate client portfolio, supporting both external clients and internal stakeholders. If you're someone who enjoys problem-solving, thrives on organization, and has a knack for spotting inconsistencies in complex data we’d love to meet you. 

 What You’ll Be Doing: 

You’ll play a hands-on role in processing and reconciling financial and asset data submitted by clients, operating partners, and property managers.  

This includes: 

  • Managing incoming datasets and converting them into accurate, usable reports. 
  • Validating data for completeness and accuracy — identifying and resolving discrepancies before they cause issues. 
  • Communicating findings and status updates clearly to internal teams and clients. 
  • Supporting process improvements and automation initiatives that enhance service delivery. 
  • Leveraging internal AI-powered workflows and tools to drive efficiency at scale. 

You’ll Excel in This Role If You Are: 

  • A self-starter who takes initiative and thrives in a results-driven environment 
  • A strong communicator who can translate technical issues into actionable solutions 
  • Someone who works well under pressure, balancing multiple deadlines without sacrificing quality 
  • Eager to collaborate with internal teams and contribute to process improvement 

Requirements

What We’re Looking For: 

  • 2+ years of experience in data management, finance or accounting 
  • Working knowledge of industry tools (e.g., Yardi, MRI, RealPage, Timberline) 
  • Advanced Excel skills (bonus points for Power Query or VBA) 
  • Familiarity with relational databases and querying languages (SQL preferred) 
  • Experience working with or interpreting real estate accounting data, reports, and property financials 
  • Previous exposure to real estate operations, asset management, or property-level financials is highly preferred 
  • Bachelor’s degree in Data Analytics, Accounting or Finance (Required) 

Bonus Points For: 

  • Python skills for data analysis and automation 
  • Experience creating dashboards using Power BI 
  • Familiarity with ticketing/project tools like Zendesk, HubSpot, or Wrike 

Ready to Apply? 

Please complete both of the following steps: 

  • Click “Apply Now” at the bottom of this posting  

Benefits

WHAT'S IN IT FOR YOU? 

  • Competitive salary 
  • Health, Vision, and Dental benefits to fit your needs 
  • 401k – 4% Company match 
  • Discretionary bonuses 
  • Discretionary Time Off – 3 weeks off annually 

LOCATION  

  • Only considering candidates who live in Dallas, Texas (DFW) area.   
  • *We are not sponsoring H1B or OPT candidates*  
Pereview Software

About Pereview Software

Pereview is the commercial real estate industry’s most flexible, AI-powered global asset management automation platform for debt and equity investments. Private and institutional property owners, operators, and investors can improve financial performance, visualize risk, and streamline operations for the front office throughout the investment lifecycle with a 360-degree view of performance at both the asset and portfolio level. Founded by real estate experts in 2015 and headquartered in Dallas, Pereview is known for being a customer-centric technology enablement partner to real estate portfolio and asset managers so they can manage assets the way they do business. For more information, visit www.pereviewsoftware.com. 

Industry
Real Estate & Property
Company Size
11-50 employees
Headquarters
Dallas, Texas
Year Founded
2015
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