Remote Data Quality Analyst — PropTech AI & Data SaaS

ApartmentIQ

United States

Remote

USD 55,000 - 85,000

Full time

14 days+
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Benefits offered by this job

Remote-First
Competitive salary
Paid time off
Health insurance
Disability insurance
Life insurance
401k plan

Job summary

ApartmentIQ is seeking a Data Quality Analyst to maintain, audit, and improve data quality across our products. This hands-on role is responsible for directly investigating data issues, identifying root causes, executing quality-control processes, and reporting on overall data health.

You will work closely with Product and Engineering to refine internal tools and test AI-assisted workflows that make data operations more efficient and scalable.

Qualifications

  • 1+ years in data quality, data ops, analytics, or related fields.
  • Strong analytical and problem-solving skills.
  • Experience with automation and AI-assisted workflows.
  • Excellent written and spoken communication.
  • Ability to work independently and manage priorities.

Responsibilities

  • Investigate and resolve data quality issues through hands-on analysis.
  • Maintain and execute data quality controls and SOPs.
  • Experiment with automated and AI-assisted workflows.
  • Track and report data quality metrics and trends.
  • Identify recurring issues and optimize processes.
  • Prioritize and manage queue workloads to resolve high-impact issues.
  • Communicate findings to cross-functional stakeholders.
  • Maintain documentation of data standards and SOPs.

Skills

Data quality
Analytics
Automation
Communication
Independence

Job description

ApartmentIQ is seeking a Data Quality Analyst to maintain, audit, and improve data quality across our products. This hands-on role is responsible for directly investigating data issues, identifying root causes, executing quality-control processes, and reporting on overall data health.

You will work closely with Product and Engineering to refine internal tools and test AI-assisted workflows that make data operations more efficient and scalable.

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