Mortgage Data Analyst

Spring EQ LLC; Pennsylvania; Hybrid; USD 95,000 - 120,000; Full time

Benefits offered by this job

401(k) matching

Medical

Dental

Vision

Disability

Life insurance

Paid time off

Commuter benefits

Employee assistance program

More

Job summary

Spring EQ is seeking a data-centric professional to join our analytics team in Philadelphia in a hybrid role. You will analyze mortgage origination and servicing data, build dashboards, and produce insights that shape origination, wholesale, underwriting, and servicing decisions.

The ideal candidate has 3–5 years of experience, a degree in a relevant field, and strong SQL/Tableau skills. Proficiency in Python or other BI tools is a plus, and a US work authorization is required.

Qualifications

• 3–5 years of experience as a Data Analyst or Data Scientist, ideally in mortgage origination or servicing.
• Degree in mathematics, statistics, computer science, data science, or related discipline, or equivalent practical experience.
• Working knowledge of SQL and Tableau, proficiency in Excel and other BI tools.
• Strong analytical and problem-solving ability with attention to detail and accuracy.
• Ability to connect data insights to business outcomes and influence decisions.
• Familiarity with mortgage origination workflows (CRM, loan origination, underwriting, servicing) preferred.
• Exposure to forecasting, predictive modeling, and Python is a strong advantage.
• Experience with Python, SAS, or R for advanced analysis is desirable.
• Must have current, unrestricted authorization to work in the United States without sponsorship now or in the future.
• Ability to commute to Philadelphia, PA 19104 for hybrid work.

Responsibilities

• Analyze data to uncover trends, patterns, and actionable insights.
• Communicate findings clearly to teammates and stakeholders.
• Support forecasting and predictive modeling efforts.
• Build dashboards, reports, and visualizations in Tableau and SQL to support business decisions, highlight risks, and surface opportunities.
• Design and maintain data workflows that support analysis and reporting.
• Partner with business teams to understand goals and deliver data-driven solutions.
• Perform deep-dive analysis on pull-through, turn time, and other KPIs for Sales and Marketing campaigns.
• Help drive strategy and shape decisions through well-presented analytical work.
• Use modern AI tools and automation to improve efficiency and reduce repetitive manual work.

Skills

SQL

Tableau

Excel

Python

Forecasting

Data storytelling

Education

Mathematics/Statistics/CS/Data science degree

Tools

SQL

Tableau

Python

SAS

R

Job description

Requirements

• We are looking for someone with 3–5 years of experience as a Data Analyst or Data Scientist, ideally in mortgage origination or servicing.
• We need a degree in mathematics, statistics, computer science, data science, or a related discipline, or equivalent practical experience.
• We expect working knowledge of SQL and Tableau, along with proficiency in Excel and other business intelligence tools.
• We value strong analytical and problem-solving ability, with careful attention to detail and accuracy.
• We want someone who can connect data insights to business outcomes and influence decisions through clear analysis.
• We prefer familiarity with mortgage origination workflows, including CRM, loan origination, underwriting, and servicing.
• Exposure to forecasting, predictive modeling, and Python is a strong advantage.
• Experience with Python, SAS, or R for advanced analysis is desirable.
• Candidates must have current, unrestricted authorization to work in the United States without sponsorship now or in the future.
• We require the ability to commute to Philadelphia, PA 19104 for our hybrid work arrangement.

Responsibilities

• We analyze data to uncover trends, patterns, and actionable insights.
• We communicate findings clearly and simply to teammates and stakeholders.
• We support forecasting and predictive modeling efforts.
• We build dashboards, reports, and visualizations in Tableau and SQL to support business decisions, highlight risks, and surface opportunities.
• We design and maintain data workflows that support analysis and reporting.
• We partner with business teams to understand goals and deliver data-driven solutions.
• We perform deep-dive analysis on pull-through, turn time, and other key performance metrics related to Sales and Marketing campaigns.
• We help drive strategy and shape decisions through well-presented analytical work.
• We use modern AI tools and automation to improve efficiency and reduce repetitive manual work.

Company

We are Spring EQ, a national home equity lender founded in 2016, and we provide flexible, tailored financing solutions directly to consumers through a broad network of experienced brokers and partners. We are one of the fastest-growing and highest-rated home equity financing providers in the United States, and our mission is to help homeowners and buyers maximize the value of homeownership in a simple, fast, and ethical way. Our team values kindness, adaptability, accountability, continuous improvement, collaboration, and a strong work ethic balanced with having fun and getting things done. You will join our analytics team in a hybrid role based in Philadelphia, PA, where data helps us make decisions across originations, wholesale and broker operations, underwriting policy, and servicing. We work with SQL Server, Tableau, Python, and modern AI tooling, and we offer a comprehensive benefits package that includes 401(k) matching, medical, dental, vision, disability, life insurance, paid time off, commuter benefits, an employee assistance program, and more.

• 401(k) matching
• Medical
• Dental
• Vision
• Disability
• Life insurance
• Paid time off
• Commuter benefits
• An employee assistance program
• More