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Mortgage Data Analyst Jobs (NOW HIRING)

Quanta Search

Mortgage Analyst

Fort Lauderdale, FL · On-site

We are seeking a Financial Analyst to analyze and interpret financial and market data. As a ... The Mortgage Analyst will be responsible for performing day-to-day tasks related to mortgage ...

Quanta Search

Mortgage Analyst

Fort Lauderdale, FL · On-site

We are seeking a Financial Analyst to analyze and interpret financial and market data. As a ... The Mortgage Analyst will be responsible for performing day-to-day tasks related to mortgage ...

Workila

Data Analyst 1

Urbana, MD

Strong data analysis and profiling skills. * Strong knowledge of SQL needed to support data ... Knowledge of mortgage industry or finance a plus. * Past experience working in Fannie Mae ...

System One

Data Engineer - Contractor

Miamisburg, OH

$102K - $123K/yr

Design, develop, and support data integration and database solutions across mortgage and banking ... Participate in data normalization, analysis, and process improvement initiatives * Support ...

Netsynk

PRODUCT/DATA ANALYST

Mclean, VA

... the mortgage industry (Freddie Mac / Fannie Mae exposure is a strong plus) Solid understanding of data modeling, data analysis, and working with large-scale data warehouse environments Experience ...

Leaders Credit Union

Data Analyst

Jackson, TN · On-site

We offer monthly classes on everything from mortgage products to conflict resolution. We give you ... Analyze data to identify trends, patterns, and opportunities that improve productivity and ...

New

TheStaffed

Data & Product Analyst

Mclean, VA · On-site

Strong understanding of mortgage business processes * Experience collaborating across Agile or fast-paced enterprise environments * Strong analytical, stakeholder management, and problem-solving ...

Omm IT Solutions

Data & Product Analyst

Mclean, VA · On-site

You will play a key role in improving data quality, supporting governance initiatives, and delivering meaningful analytics within the mortgage domain. The ideal candidate combines technical ...

Omm IT Solutions

Data & Product Analyst

Mclean, VA · On-site

You will play a key role in improving data quality, supporting governance initiatives, and delivering meaningful analytics within the mortgage domain. The ideal candidate combines technical ...

Acrisure

Data Analyst, Data Intelligence

Austin, TX · On-site

Data Analyst, Data Intelligence Austin, TX (Onsite 4 days per week) Note: This is a full-time role ... mortgage services - and more. In the last twelve years, Acrisure has grown in revenue from $38 ...

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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 Jun 13, 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.

Is 40 too late for data science?

For a Mortgage Data Analyst or similar data science roles, starting a career at 40 is feasible as the field values skills, experience, and continuous learning. Many professionals transition into data roles later in life by acquiring relevant certifications, such as in SQL or Python, and building a strong portfolio. Age is less important than your ability to adapt and develop the necessary technical and analytical skills.

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.

Is a data analyst a high paying job?

A mortgage data analyst is typically considered a well-paying role within the finance and real estate industries, with salaries often above average for entry-level positions. Compensation depends on experience, location, and skills such as proficiency in SQL, Excel, and data visualization tools. Advanced certifications and specialized knowledge can also lead to higher earnings.

What is the salary of data analyst in JP Morgan?

A Mortgage Data Analyst at JP Morgan typically earns between $60,000 and $90,000 annually, depending on experience, location, and specific responsibilities. Entry-level positions may start lower, while experienced analysts with specialized skills can earn higher salaries. Compensation often includes benefits such as bonuses and health insurance.

What does a mortgage analyst do?

A mortgage data analyst reviews and interprets mortgage loan data to assess risk, identify trends, and support lending decisions. They often use data analysis tools and financial models to ensure accuracy and compliance with regulations, contributing to the efficiency of the mortgage process.
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 June 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% Part Time. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Engineer - Contractor

Data Engineer - Contractor

System One Holdings, LLC

Farmers Branch, TX

$110K - $132K/yr

Other

Posted 27 days ago

Job description

Data Engineer Contractor

5 Days Onsite – Pittsburgh, PA / Farmers Branch, TX / Miamisburg, OH / Houston, TX

Key Responsibilities

  • Gather business and technical requirements from multiple lines of business and source systems
  • Design, develop, and support data integration and database solutions across mortgage and banking platforms
  • Work closely with QA teams on upfront testing and deployment validation activities
  • Coordinate with ETL and downstream technical teams to define data movement specifications
  • Support deployment activities into QA and Production environments
  • Ensure deployment documentation, validation, and operational processes are accurate and complete
  • Participate in data normalization, analysis, and process improvement initiatives
  • Support regulatory reporting and enterprise data aggregation efforts

Required Skills

  • Strong hands-on experience with SQL
  • Experience with SQL Server
  • Experience with Oracle
  • Excellent verbal and written communication skills
  • Strong stakeholder interaction and requirement gathering experience
  • Ability to work independently and manage priorities effectively

Nice to Have

  • Performance tuning or debugging experience
  • Banking or financial services domain experience
  • Experience supporting ETL/data movement processes

Soft Skills

  • Strong communication and presentation skills
  • Self-driven and proactive mindset
  • Strong organizational and prioritization abilities
  • Ability to work effectively with business and technical stakeholders

Environment / Team

  • Team consists of Data Engineers and Quality Engineers
  • Heavy interaction with business users and technical teams
  • Focused on Home Lending Technology and Mortgage Data Platforms
  • Agile, collaborative, and fast-paced environment

Education

  • Bachelor's degree in Computer Science, Information Systems, or related field preferred

#M1 #DI-CB2 #L1 - KB1 Ref: #404-IT Pittsburgh

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