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Senior Data Consulting Analyst (Real Estate Data)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data Consulting Analyst (Real Estate Data): Designing scalable data solutions and extract specifications for complex client requirements across the property intelligence ecosystem with an accent on data modeling, product logic, and cross-functional delivery. Focus on translating business needs into technical specifications, validating data products through user acceptance testing, and improving solution reliability and performance.

Location: Dallas, TX; remote-hybrid

Company

hirify.global provides property intelligence, data, and technology solutions for the global real estate and property industry.

What you will do

  • Advise Sales and Client Success teams during onboarding and post-sales engagements for high-profile bulk data clients.
  • Evaluate complex customer requirements and design scalable solutions that balance impact, feasibility, and risk.
  • Analyze product logic, data models, and algorithmic workflows to validate assumptions, troubleshoot issues, and improve performance.
  • Develop user stories, acceptance criteria, and extract specifications for custom and standardized data products.
  • Perform User Acceptance Testing and validate specifications with stakeholders before market release.
  • Collaborate with Product, Delivery, Order Management, and other cross-functional teams while mentoring junior analysts.

Requirements

  • Bachelor’s degree in data analytics, data science, engineering, mathematics, or a related analytical discipline, or equivalent experience.
  • 7+ years of experience in data-driven or technical consulting roles involving complex solution designs.
  • Strong written and verbal communication, organizational, interpersonal, and stakeholder-influence skills.
  • Ability to translate complex business requirements into clear, actionable specifications and build consensus across teams.
  • Proficiency in SQL and advanced familiarity with Python, Tableau, and cloud platforms.
  • Experience interpreting product logic, data models, and algorithmic workflows; knowledge of real estate, mortgage servicing, property insurance, or credit.

Nice to have

  • Understanding of Big Data, Cloud, and Machine Learning concepts.

Culture & Benefits

  • Flexible working model with hybrid work arrangements.
  • Generous PTO, 11 paid holidays, well-being time, and volunteer time off.
  • Up to 16 weeks of fully paid parental leave and a baby stipend.
  • Medical plan options with mental health and wellness support.
  • 401(k) with company match, tuition assistance, and an annual well-being stipend.

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