Analytics Lead – Mortgage Default & Loss Mitigation

U.S. Bank

. Lead analytics enablement for Mortgage Default and Loss Mitigation, shaping scalable, insight-driven capabilities across servicing operations .

Posted 5/19/2026full-timeAtlanta • Texas • 🇺🇸 United StatesSenior💰 $126,820 - $149,200 per yearWebsite

Tech Stack

Tools & technologies

AzurePythonSQL

About the role

Key responsibilities & impact

Lead analytics enablement for Mortgage Default and Loss Mitigation, shaping scalable, insight-driven capabilities across servicing operations
Mentor analysts and cross-functional partners on advanced analytics practices, self-service BI, and data literacy
Serve as a strategic partner across servicing, compliance, risk, finance, and technology to prioritize high-impact analytics use cases
Translate business needs into data products, leveraging tools such as Power BI, Databricks, SQL, Python, and Azure-based data platforms
Design and drive adoption of KPIs, OKRs, dashboards, and performance frameworks (e.g., balanced scorecards, leading/lagging indicators)
Establish and enforce data governance, lineage, and quality controls aligned to enterprise data management standards
Deliver portfolio insights using core mortgage analytics concepts, including delinquency curves, roll rates, cure rates, modification performance, liquidation timelines, and severity analysis
Partner with data engineering and BI teams to modernize data pipelines and enable scalable access through data lakes, semantic models, and automated reporting workflows
Develop executive-level reporting and storytelling that translates complex analysis into clear, actionable decisions
Identify operational inefficiencies using root cause analysis, process mining, and variance analysis, and recommend data-driven improvements
Ensure analytics and reporting align with regulatory, investor (FNMA/FHLMC/Ginnie Mae), and internal governance frameworks

Requirements

What you’ll need

Bachelor's degree, or equivalent work experience
Eight or more years of data analysis experience with large data sets
Experience in SQL/WebFOCUS or other BI tool for querying data and for data manipulation/transformation
Experience in financial services, with thorough knowledge of HR systems or financial services products, customers, transactions and interaction data
Strong analytic skills with the ability to extract, collect, organize, analyze and interpret results for insights
Ability to data mine, analyze data, and present insights in a meaningful way
Ability to develop and maintain strategic partnership with Senior Business unit management, business partners and project sponsors, as well as communicate effectively with business, and development teams, end users, and product owners
Strong decision-making and problem-solving skills
Strong organization and project management skills
Effective interpersonal, verbal and written communication skills

Benefits

Comp & perks

Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analysisSQLPythonPower BIDatabricksdata governanceroot cause analysisprocess miningvariance analysisdata manipulation

Soft Skills

analytical skillsdecision-makingproblem-solvingorganizational skillsproject managementinterpersonal skillsverbal communicationwritten communicationmentoringstrategic partnership