1

Mortgage Data Analyst Jobs (NOW HIRING)

As a Data Analyst, you will be responsible for consulting and analyzing data, with a focus on multifamily mortgage and real estate finance metrics. You will work with various databases, write ...

Analyze mortgage data across the full loan lifecycle (origination, underwriting, closing, servicing, and secondary market) * Own alignment of enterprise mortgage data to MISMO standards, logical data ...

Lead Data Modeler

Charlotte, NC · On-site

$53.50 - $69.25/hr

This role requires a deep understanding of mortgage data, loan lifecycle processes, regulatory ... Enable self-service analytics and future-state regulatory reporting capabilities.

Sr. Data Analyst

Greensboro, NC · On-site

$83K - $105K/yr

Job Summary The mission of Arch Mortgage Data, Reporting and Insights team is to unlock the power of data through insightful reporting and analytics, empowering stakeholders to confidently make data ...

Sr. Data Analyst

Greensboro, NC · On-site

$83K - $105K/yr

Job Summary The mission of Arch Mortgage Data, Reporting and Insights team is to unlock the power of data through insightful reporting and analytics, empowering stakeholders to confidently make data ...

next page

Showing results 1-20

Mortgage Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do mortgage data analyst jobs pay per year?

As of Aug 16, 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?

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

Who are the top companies hiring for Mortgage Data Analyst jobs?

The top employers for Mortgage Data Analyst jobs are:

What states have the most Mortgage Data Analyst jobs?

States with the most job openings for Mortgage Data Analyst jobs include:

Infographic showing various Mortgage Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Other

Posted 11 days ago


Job description

Data AnalystIntroduction:

International Solutions Group (ISG) is seeking a skilled Data Analyst to join our team in Mclean, VA. As a Data Analyst, you will be responsible for consulting and analyzing data, with a focus on multifamily mortgage and real estate finance metrics. You will work with various databases, write advanced SQL queries, and utilize Informatica for data integration.

Responsibilities:
  • Consulting & Analysis: Provide data management consulting with advanced data analysis capabilities.
  • Domain Expertise: Understand multifamily mortgage data lifecycle and real estate finance metrics.
  • Multi-Database SQL Mastery: Write advanced SQL queries against Snowflake, MongoDB, and SQL Server.
  • Source Code Auditing: Interpret existing database code to trace data lineage and validate logic.
  • Core ETL Technology: Work with Informatica pipelines for data integration.
  • Agile Collaboration: Collaborate with Product Owners to scope work efforts and map implementation steps.
Requirements:Required Skills:
  • Data Analyst experience
  • Knowledge of Informatica
  • Experience with Mortgage data
  • Strong SQL skills
Preferred Skills:
  • Experience with Snowflake, MongoDB, and SQL Server
  • Previous work with multifamily mortgage data
  • Ability to work in an Agile environment

If you meet the requirements and are interested in this Data Analyst position, please contact us at or call .