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Mortgage Servicing Data Analyst

Beb73202 6223 4369 943a F475f5ca54f0 19000101 000001 · Florham Park, NJ, US, Florham Park, NJ · Remote · Active · ADP Workforce Now Recruiting

Job facts

FieldValue
CompanyBeb73202 6223 4369 943a F475f5ca54f0 19000101 000001
TitleMortgage Servicing Data Analyst
Normalized title-
Department / team-
LocationFlorham Park, NJ, United States
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusactive
ATS providerADP Workforce Now Recruiting
Posted / first seen2026-06-18 / 2026-06-19
Changed / last seen2026-06-21 / 2026-06-21

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PageWhat it containsOpen
Company jobsActive postings from Beb73202 6223 4369 943a F475f5ca54f0 19000101 000001.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through ADP Workforce Now Recruiting.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Florham Park.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyBeb73202 6223 4369 943a F475f5ca54f0 19000101 000001
Source6758dffa-d633-400b-adbc-db94199b3224
ATS providerADP Workforce Now Recruiting

Description

Mortgage Servicing Data Analyst Location: Remote Department: Mortgage Servicing Reports To: Senior Vice President of Servicing Position Overview We are seeking an experienced Mortgage Servicing Data Analyst to support servicing portfolio management, subservicer oversight, and strategic initiatives related to servicing retention and monetization of the servicing portfolio. This role will be responsible for developing data-driven solutions, analytics, dashboards, and reporting that support servicing operations, executive decision-making, and portfolio strategy. The ideal candidate will have deep experience in mortgage servicing data , strong knowledge of MSP and hands-on experience with modern data and analytics tools including Snowflake, Power BI, Retool, Python, and JavaScript . This role will serve as a key contributor in leveraging servicing data to improve portfolio performance, strengthen subservicer oversight, and identify opportunities to increase servicing retention and portfolio value. Key Responsibilities Develop and maintain data solutions and analytics to support mortgage servicing portfolio management Build reporting and analytics for subservicer oversight , including operational performance, compliance metrics, and service level tracking Design and maintain dashboards, scorecards, and executive reporting using Power BI and other business intelligence tools Analyze servicing portfolio performance including delinquency, runoff, prepayment speeds, recapture, retention, and portfolio trends Support strategies related to servicing retention, recapture, and monetization of the servicing portfolio Extract, transform, and analyze data from MSP and enterprise data warehouse platforms Develop automated reporting and data workflows using Snowflake, Python, Retool, and JavaScript Partner with servicing, finance, compliance, and technology teams to define data requirements and reporting needs Identify trends, risks, and opportunities within the servicing portfolio and present findings to management Support ad hoc analysis, strategic initiatives, and executive reporting related to servicing operations and portfolio performance Required Qualifications Minimum 10 years of experience working in a mortgage servicing environment Strong working knowledge of MSP (Mortgage Servicing Platform – formerly LPS) Experience working with servicing portfolio data, reporting, and analytics Proficiency with: Snowflake Power BI Retool Python JavaScript Understanding of mortgage servicing processes including boarding, payments, escrow, investor reporting, default servicing, and loss mitigation Experience building dashboards, reporting packages, and data-driven business insights Strong analytical, problem-solving, and communication skills Ability to translate business needs into data solutions and reporting tools Preferred Qualifications Experience with subservicer oversight reporting and scorecards Experience with servicing retention and recapture analytics Experience supporting servicing portfolio strategy or MSR portfolio management Experience working in a data warehouse environment and supporting data governance initiatives Experience presenting analytics and insights to senior management and executives Bachelor’s degree in Finance, Data Analytics, Information Systems, Computer Science, Business, or related field Position Summary This role is ideal for a servicing professional with strong technical and analytical skills who can bridge mortgage servicing operations, data analytics, and portfolio strategy . The Mortgage Servicing Data Analyst will play a key role in improving servicing oversight, portfolio performance, and the overall value of the servicing portfolio through data-driven decision making.

Full job record

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Provider Job Key598041
TitleMortgage Servicing Data Analyst
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Statusactive
Activeyes
Location TextFlorham Park, NJ, US, Florham Park, NJ
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Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionNJ
CityFlorham Park
Salary Raw
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First Seen At2026-06-19 12:46:03Z
Last Seen At2026-06-21 13:12:40Z
Last Checked At2026-06-21 13:12:40Z
Last Changed At2026-06-21 13:12:40Z
Inactive At
Source Posted At2026-06-18 15:00:00Z
Source Updated At
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    "requisitionDescription": "<div><div><p data-pasted=\"true\"><strong>Mortgage Servicing Data Analyst</strong></p><p><strong>Location:</strong> Remote<br><strong>Department:</strong> Mortgage Servicing<br><strong>Reports To:</strong> Senior Vice President of Servicing</p><p><strong>Position Overview</strong></p><p>We are seeking an experienced <strong>Mortgage Servicing Data Analyst</strong> to support servicing portfolio management, subservicer oversight, and strategic initiatives related to servicing retention and monetization of the servicing portfolio. This role will be responsible for developing data-driven solutions, analytics, dashboards, and reporting that support servicing operations, executive decision-making, and portfolio strategy.</p><p>The ideal candidate will have deep experience in <strong>mortgage servicing data</strong>, strong knowledge of <strong>MSP&nbsp;</strong>and hands-on experience with modern data and analytics tools including <strong>Snowflake, Power BI, Retool, Python, and JavaScript</strong>. This role will serve as a key contributor in leveraging servicing data to improve portfolio performance, strengthen subservicer oversight, and identify opportunities to increase servicing retention and portfolio value.</p><p><strong>Key Responsibilities</strong></p><ul type=\"disc\"><li>Develop and maintain data solutions and analytics to support <strong>mortgage servicing portfolio management</strong></li><li>Build reporting and analytics for <strong>subservicer oversight</strong>, including operational performance, compliance metrics, and service level tracking</li><li>Design and maintain <strong>dashboards, scorecards, and executive reporting</strong> using Power BI and other business intelligence tools</li><li>Analyze servicing portfolio performance including delinquency, runoff, prepayment speeds, recapture, retention, and portfolio trends</li><li>Support strategies related to <strong>servicing retention, recapture, and monetization of the servicing portfolio</strong></li><li>Extract, transform, and analyze data from <strong>MSP and enterprise data warehouse platforms</strong></li><li>Develop automated reporting and data workflows using <strong>Snowflake, Python, Retool, and JavaScript</strong></li><li>Partner with servicing, finance, compliance, and technology teams to define data requirements and reporting needs</li><li>Identify trends, risks, and opportunities within the servicing portfolio and present findings to management</li><li>Support ad hoc analysis, strategic initiatives, and executive reporting related to servicing operations and portfolio performance</li></ul><p><strong>Required Qualifications</strong></p><ul type=\"disc\"><li>Minimum <strong>10 years of experience</strong> working in a <strong>mortgage servicing environment</strong></li><li>Strong working knowledge of <strong>MSP (Mortgage Servicing Platform &ndash; formerly LPS)</strong></li><li>Experience working with servicing portfolio data, reporting, and analytics</li><li>Proficiency with:<ul type=\"circle\"><li>Snowflake</li><li>Power BI</li><li>Retool</li><li>Python</li><li>JavaScript</li></ul></li><li>Understanding of mortgage servicing processes including boarding, payments, escrow, investor reporting, default servicing, and loss mitigation</li><li>Experience building dashboards, reporting packages, and data-driven business insights</li><li>Strong analytical, problem-solving, and communication skills</li><li>Ability to translate business needs into data solutions and reporting tools</li></ul><p><strong>Preferred Qualifications</strong></p><ul type=\"disc\"><li>Experience with <strong>subservicer oversight reporting and scorecards</strong></li><li>Experience with <strong>servicing retention and recapture analytics</strong></li><li>Experience supporting <strong>servicing portfolio strategy or MSR portfolio management</strong></li><li>Experience working in a data warehouse environment and supporting data governance initiatives</li><li>Experience presenting analytics and insights to senior management and executives</li><li>Bachelor&rsquo;s degree in Finance, Data Analytics, Information Systems, Computer Science, Business, or related field</li></ul><p><strong>Position Summary</strong></p><p>This role is ideal for a servicing professional with strong technical and analytical skills who can bridge <strong>mortgage servicing operations, data analytics, and portfolio strategy</strong>. The Mortgage Servicing Data Analyst will play a key role in improving servicing oversight, portfolio performance, and the overall value of the servicing portfolio through data-driven decision making.</p><p><br></p></div></div>\n",
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