обновлено 19 часов назад
Senior Data Consulting Analyst (Real Estate Data)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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