Galent

Business Analyst - Loan Origination and Servicing

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Analyst - Loan Origination and Servicing, offering a contract length of "unknown" at a pay rate of "unknown." Key skills include mortgage industry experience, data transformation, Agile methodologies, and strong communication.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 15, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Coppell, TX
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🧠 - Skills detailed
#Jira #Data Engineering #BI (Business Intelligence) #"ETL (Extract #Transform #Load)" #Business Analysis #Stories #Scrum #Agile #Cloud
Role description
Key Responsibilities • Act as a Product Owner / Business Analyst for data and analytics initiatives within the mortgage domain • Collaborate with business stakeholders, technology teams, and data engineers to define product vision and roadmap • Gather, analyze, and document business and functional requirements • Translate business needs into clear user stories, acceptance criteria, and backlog items • Drive data transformation and modernization efforts across mortgage systems • Work closely with data teams on data analytics, reporting, and data product development • Support mortgage lifecycle processes including loan origination and servicing • Facilitate Agile ceremonies such as sprint planning, backlog grooming, and retrospectives • Ensure alignment between business goals and technical delivery Required Qualifications • Strong experience in the mortgage industry, specifically with loan origination and servicing • Proven experience working as a Product Owner and/or Business Analyst • Hands-on experience in data transformation, data modernization, and data analytics • Experience working on data products or data platforms • Strong understanding of Agile methodologies and tools (Scrum, Jira, etc.) • Excellent communication and stakeholder management skills Preferred Qualifications • Experience with mortgage lending systems and platforms • Knowledge of data warehousing, ETL processes, and cloud data platforms • Familiarity with reporting and BI tools