> Markdown version of [/jobs/ext/2181593-sr-data-analyst-mortgage-analytics-insights](https://www.wearedevelopers.com/jobs/ext/2181593-sr-data-analyst-mortgage-analytics-insights). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Data Analyst Mortgage Analytics & Insights - **Company:** Federal Home Loan Bank of Chicago - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $90,400.0 - $150,700.0 - **Contract:** Permanent contract - **Skills:** Microsoft Word, Microsoft Excel, Artificial Intelligence, Data Analysis, Big Data, Data Integrity, Data Visualization, Decision Support Systems, R (Programming Language), Python (Programming Language), Operational Data Store, Microsoft PowerPoint, Power BI, SAS (Software), Tableau (Software), Sql Optimization, Information Technology, Data Analytics, Data Management - **Published:** August 22, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88117832/1 ## About the Role + Bachelor's degree in Data Science, Business Analytics, Economics, Finance, Statistics, Mathematics, Computer Science, or a related quantitative field. + 4+ years of experience in data analytics, business intelligence, financial analysis, or a related analytical discipline. + Direct experience analyzing performance and risk of mortgage portfolios, mortgage-backed securities, or housing finance programs is strongly preferred. + Strong analytical, quantitative, and problem-solving capabilities with exceptional attention to detail. + Experience translating large, complex datasets into actionable business insights and recommendations. + Strong business acumen with the ability to connect analytical work to organizational objectives and strategic priorities. + Intellectual curiosity with a desire to understand underlying business drivers and root causes. + Advanced SQL skills, including experience querying, transforming, validating, and analyzing large datasets in a business and professional environment are required. + Advanced dashboarding and data visualization skills, including experience with Tableau, Power BI, or similar business intelligence tools, are strongly preferred. + Experience using analytical and statistical programming tools such as Python, R, SAS, or similar platforms is strongly preferred. + Familiarity with advanced analytics, artificial intelligence, or process automation techniques is preferred. + Advanced proficiency in Microsoft Excel, PowerPoint, and Word is required. + Excellent written, verbal, presentation, and listening skills. + Experience preparing senior management-level presentations and data-driven business recommendations. + Demonstrated ability to communicate effectively with both technical and non-technical audiences. + Strong stakeholder management skills with the ability to build credibility and influence decisions through objective analysis. + Self-motivated and collaborative, with a proven ability to manage multiple priorities and meet deadlines in a dynamic environment. ## Description The Senior Data Analyst serves as a trusted partner to Mortgage Partnership Finance (MPF) leadership by transforming complex mortgage and business data into actionable insights. This role supports strategic decision-making through in-depth portfolio analysis, risk monitoring, performance measurement, forecasting, and data-driven recommendations that enhance the effectiveness of the Bank's national whole loan mortgage purchase program. How you'll make an impact + Identify emerging trends, portfolio risks, and business opportunities through advanced analysis of mortgage performance and operational data, enabling proactive management of the MPF program. + Develop scalable analytical solutions, dashboards, and performance measurement frameworks that support strategic decision-making by senior management and external stakeholders. + Deliver actionable insights and recommendations that improve portfolio performance, strengthen risk oversight, and enhance business outcomes. What you can expect Mortgage Portfolio Analytics & Business Insights + Lead the development of portfolio monitoring frameworks and perform advanced analyses to assess volume, credit performance, operational effectiveness, loan quality, and emerging risks across the MPF portfolio. + Analyze large, complex mortgage, financial, and operational datasets to identify trends, evaluate portfolio performance, assess risk exposures, and support strategic initiatives. + Conduct ad hoc and exploratory analyses to address evolving business questions and provide actionable recommendations to leadership. Reporting & Visualization + Design and maintain executive-level dashboards, scorecards, and visualizations that communicate complex analytical findings in a clear and compelling manner. + Develop reporting solutions that provide timely visibility into portfolio performance, operational metrics, PFI activity, and key risk indicators. + Present analytical findings and recommendations to senior management and stakeholders, translating technical results into business insights. Data Management & Automation + Develop automated data analyses, reporting solutions, and analytical workflows that improve efficiency, scalability, and data reliability. + Extract, transform, validate, and analyze data from multiple internal and external sources to support business and regulatory reporting. + Establish and maintain data quality standards, validation controls, and governance practices to ensure the accuracy, consistency, and integrity of analytical outputs. + Identify opportunities to leverage emerging technologies, advanced analytics, and automation to improve business processes and decision support capabilities. Leadership & Collaboration + Collaborate with cross-functional teams including Risk, Finance, Business Intelligence, Data Management, Member Services, and Mortgage Operations to address business needs and improve processes. + Foster a collaborative, data-driven culture by sharing knowledge, and promoting analytical best practices to junior analysts and interns. + Stay current on mortgage industry developments, housing finance trends, regulatory changes, analytical methodologies, and emerging technologies. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [The Innovation Formula: Fast Prototyping, Data Analysis, and Real User Insights](https://www.wearedevelopers.com/videos/1421-the-innovation-formula-fast-prototyping-data-analysis-and-real-user-insights) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)