Senior Data Analyst

Pennymac (NYSE: PFSI) is a specialty financial services firm with a comprehensive mortgage platform and integrated business focused on the production and servicing of U.S. mortgage loans and the management of investments related to the U.S. mortgage market. 

At Pennymac, our people are the foundation of our success and at the heart of our dynamic work culture. Together, we work towards a unified goal of helping millions of Americans achieve aspirations of homeownership through the complete mortgage journey.

Perform ad hoc data analysis and develop report protocols using SQL and Python. Automate data extraction for reporting and create data dictionaries to streamline further analysis. Use Excel and Python for statistical analysis to identify patterns in loan insurance timing, borrower delinquency, and prepayment rates. Establish data connections between platforms, visualize and model data, and evaluate different data models. Interpret and integrate research data into strategic decision-making. Collaborate with cross- functional teams for statistical analysis reports. Understand business lines and mortgage life-cycle to develop data monitoring tools. Provide analytical support and recommendations to senior management. Develop business requirements for recurring reports, optimize SQL stored procedures, and create self-serve reports. Prepare PowerPoint presentations to share findings and recommendations. Design dashboards to highlight company strengths, opportunities, weaknesses, and threats. Maintain and update reports, and present results to senior management. Stay informed on industry trends and provide data-driven insights. Document and communicate new reporting workflows. Create data dictionaries, test results against existing reports, and perform regression tests to ensure consistency. Present solutions to stakeholders and senior management. Position also requires up to 10% domestic travel to various worksites.

Master’s degree or foreign equivalent in Computer Science, Computer Information Systems, or related field, plus two (2) years of post-baccalaureate experience as a Data Analyst, Market Data Analyst, or related role. Experience must include developing ad-hoc queries, reports, and tools; creating operational efficiencies; creating data visualization and data modeling for decision-making; and building a SQL database. Position also requires up to 10% domestic travel to various worksites.

As one of the top mortgage lenders in the country, Pennymac has helped over 4 million lifetime homeowners achieve and sustain their aspirations of home. Our vision is to be the most trusted partner for home. Together, 4,000 Pennymac team members across the country are guided by our core values: to be Accountable, Reliable and Ethical in all that we do. Pennymac is committed to conducting a business that makes positive contributions and promotes long-term sustainable growth and to fostering an equitable and inclusive environment, where all employees and customers feel valued, respected and supported. 

Benefits That Bring It Home: Whether you're looking for flexible benefits for today, setting up short-term goals for tomorrow, or planning for long-term success and retirement, Pennymac's benefits have you covered. Some key benefits include: 

• Comprehensive Medical, Dental, and Vision
• Paid Time Off Programs including vacation, holidays, illness, and parental leave 
• Wellness Programs, Employee Recognition Programs, and onsite gyms and cafe style dining (select locations)
• Retirement benefits, life insurance, 401k match, and tuition reimbursement 
• Philanthropy Programs including matching gifts, volunteer grants, charitable grants and corporate sponsorships

To learn more about our benefits visit: https://pennymacnews.page.link/benefits

For residents with state required benefit information, additional information can be found at: https://www.pennymac.com/additional-benefits-information

Compensation: Individual salary may vary based on multiple factors including specific role, geographic location / market data, and skills and experience as defined below:

• Lower in range - Building skills and experience in the role
• Mid-range - Experience and skills align with proficiency in the role 
• Higher in range - Experience and skills add value above typical requirements of the role 

Some roles may be eligible for performance-based compensation and/or stock-based incentives awarded to employees based on company and individual performance. 

Salary : $96,678 - $116,678