Mortgage Servicing Data Analyst

AD MortgageTroy, MI
$65,000 - $95,000Onsite

About The Position

The Mortgage Servicing Data Analyst is responsible for analyzing mortgage servicing data, identifying trends, supporting operational reporting, improving portfolio performance, and ensuring data accuracy across servicing systems. This role partners with servicing operations, compliance, finance, risk, and technology teams to deliver actionable insights that improve borrower experience, regulatory compliance, and operational efficiency.

Requirements

  • SQL
  • Excel (PivotTables, Power Query, VBA)
  • Power BI or Tableau
  • Data visualization
  • ETL/data validation
  • Reporting automation
  • Experience with mortgage servicing systems such as: MSP, Black Knight, Sagent, Fiserv
  • Knowledge of: Escrow analysis, Loss mitigation, Default servicing, Investor reporting
  • Familiarity with Python, SAS, or R
  • Understanding of mortgage regulatory requirements

Responsibilities

  • Analyze mortgage servicing portfolio data including: Payment performance, Delinquencies, Escrow balances, Loss mitigation, Foreclosure timelines, Bankruptcy status, Investor reporting
  • Develop recurring and ad hoc reports for servicing leadership.
  • Monitor KPIs and servicing metrics to identify trends and operational risks.
  • Build dashboards using BI tools such as Power BI, Tableau, or Excel.
  • Validate data integrity across servicing platforms and databases.
  • Perform data reconciliation between servicing systems, investor reports, and regulatory submissions.
  • Identify data anomalies and recommend corrective actions.
  • Support data governance and documentation initiatives.
  • Collaborate with servicing teams to improve workflows and reporting accuracy.
  • Assist with audit requests, compliance reviews, and investor inquiries.
  • Support regulatory reporting requirements including CFPB, FHA, Fannie Mae, Freddie Mac, and Ginnie Mae standards.
  • Automate manual reporting processes using SQL, Python, or Excel macros.
  • Recommend operational improvements based on data findings.
  • Participate in system migrations, testing, and servicing platform enhancements.

Benefits

  • PTO
  • sick days
  • paid volunteer hours
  • medical
  • dental
  • vision insurance
  • 401(k)
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