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Mortgage Data Analyst Jobs (NOW HIRING)

TheStaffed

Senior Mortgage Data Analyst

Mclean, VA · On-site

$86K - $109K/yr

Our client is seeking a Senior Mortgage Data Analyst with 7-10 years of experience to support enterprise data transformation and enablement initiatives. This role combines deep data architecture ...

DataAffect

Data Analyst

Mclean, VA · On-site

Data Analyst Location: McLean, VA - 5 days office Duration: 12+months Position type: W2 ... Understand mortgage data models * Work independently and deliver assigned tasks within short ...

New

AD Mortgage

Mortgage Servicing Data Analyst

Troy, MI

About this opportunity The Mortgage Servicing Data Analyst is responsible for analyzing mortgage servicing data, identifying trends, supporting operational reporting, improving portfolio performance ...

ConfigUSA

Mortgage Domian SME

Westlake Village, CA · On-site

Role: Mortgage Domian SME Descriptions: " • Analyze mortgage data across the full loan lifecycle (origination, underwriting, closing, servicing, and secondary market) • Own alignment of ...

3B Staffing LLC

Data Analyst

Mclean, VA · On-site

$58 - $60/hr

We have 2 Data Analyst Roles open Client: Capco/Freddie Mac Location: Fully onsite in McLean, VA ... Any Interview process: 2 Teams calls, final onsite Must include Linkedin and have Mortgage Industry ...

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Mortgage Data Analyst information

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$34K

$82.6K

$136K

How much do mortgage data analyst jobs pay per year?

As of Jul 26, 2026, the average yearly pay for mortgage data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Mortgage Data Analysts, and how can they be addressed?

Mortgage Data Analysts often encounter challenges such as managing large volumes of complex data from multiple sources, ensuring data accuracy, and keeping up with regulatory changes in the mortgage industry. Addressing these challenges requires strong attention to detail, proficiency with data analysis tools (like SQL, Excel, and Python), and continuous learning to stay updated on industry regulations. Collaboration with IT, compliance, and loan processing teams is essential to verify data integrity and implement process improvements, making strong communication skills equally important.

What are the key skills and qualifications needed to thrive as a Mortgage Data Analyst, and why are they important?

To thrive as a Mortgage Data Analyst, you need a strong background in data analysis, financial modeling, and an understanding of mortgage lending practices, often supported by a degree in finance, statistics, or a related field. Familiarity with data analytics tools like SQL, Python, Excel, and mortgage software systems is typically required, along with certifications such as Certified Mortgage Banker (CMB) being advantageous. Analytical thinking, attention to detail, and effective communication are essential soft skills for interpreting complex data and presenting insights to stakeholders. These skills ensure accurate risk assessments, regulatory compliance, and data-driven decision-making in the mortgage industry.

What does a Mortgage Data Analyst do?

A Mortgage Data Analyst is responsible for collecting, analyzing, and interpreting data related to mortgage loans and lending practices. They use statistical tools and software to identify trends, assess risk, and generate reports that help lenders make informed decisions. Their work helps optimize loan processes, ensure compliance with regulations, and improve customer experience. Mortgage Data Analysts often collaborate with underwriting, risk management, and IT teams to support a company's strategic goals.

What is the difference between Mortgage Data Analyst vs Mortgage Underwriter?

AspectMortgage Data AnalystMortgage Underwriter
Required CredentialsTypically a bachelor's degree in finance, economics, or related field; certifications like CAMS or CFA are a plusUsually a bachelor's degree in finance, economics, or related; certifications like MLO or FHA approval may be required
Work EnvironmentData analysis teams, financial institutions, or mortgage companiesLoan processing departments, banks, or mortgage lenders
Employer & Industry UsageUsed across mortgage lenders, banks, and financial services for data insightsPrimarily in mortgage lending, assessing loan risk and compliance

The Mortgage Data Analyst focuses on analyzing mortgage data to identify trends and support decision-making, while the Mortgage Underwriter evaluates individual loan applications to determine approval risk. Both roles require financial knowledge and work within mortgage institutions, but their core responsibilities differ significantly.

More about Mortgage Data Analyst jobs
What states have the most Mortgage Data Analyst jobs? States with the most job openings for Mortgage Data Analyst jobs include:
What job categories do people searching Mortgage Data Analyst jobs look for? The top searched job categories for Mortgage Data Analyst jobs are:
Mortgage Data Analyst jobs near you
Infographic showing various Mortgage Data Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Senior Mortgage Data Analyst

TheStaffed

Mclean, VA • On-site

$86K - $109K/yr

Contractor

Posted 12 days ago

Job description

Our client is seeking a Senior Mortgage Data Analyst with 7-10 years of experience to support enterprise data transformation and enablement initiatives. This role combines deep data architecture expertise with business analysis skills to drive data lineage, governance, and strategic alignment across mortgage operations.
Responsibilities & Qualifications
  • Perform comprehensive data lineage analysis, profiling, and mapping across enterprise systems to identify data flows and quality issues
  • Define business requirements and user stories for data enablement teams through stakeholder collaboration and requirements elicitation
  • Analyze event-driven and entity-based data models; map legacy data assets to target state architectures
  • Partner with business and technical stakeholders to assess business impacts of target state designs and manage expectations throughout planning
  • Support quality oversight, define acceptance criteria, and coordinate QA and UAT activities to ensure deliverable excellence
  • Leverage AI tools (Microsoft Copilot, ChatGPT, Claude) to enhance analysis efficiency and accelerate insights

Requirements
  • 7-10 years of experience in data analysis, business analysis, or enterprise data architecture roles
  • Proven expertise in data lineage analysis, data profiling, data mapping, and data governance frameworks
  • Strong knowledge of cloud-based data platforms (Snowflake, Databricks) and major cloud providers (Azure, AWS, Google Cloud)
  • Solid understanding of event-driven and entity-based data modeling approaches
  • Experience with requirements elicitation, business process analysis, and stakeholder management
  • Proficiency in Agile methodologies and tools such as Azure DevOps and Jira
  • Familiarity with AI-assisted analysis tools (Microsoft Copilot, ChatGPT, Claude) is a plus
  • Secondary mortgage industry knowledge strongly preferred

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