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Navy Federal Credit Union — негізінен Қарулы күштер, Қорғаныс министрлігі, ардагерлер қауымдастықтары және олардың отбасыларынан құралған 14 миллионнан астам мүшеге қызмет көрсететін, мүшелеріне тиесілі қаржы ұйымы. Әлемдегі ең ірі кредиттік одақ ретінде ол кампустар мен 360-тан астам бөлімшеде 24 000-нан астам қызметкері арқылы банк және қаржы қызметтерін ұсынады. Мұндағы мансап мүмкіндіктері мүшелерге жоғары сапалы қызмет көрсету миссиясын қолдайды және мағыналы жұмыс тәжірибесі мен бәсекеге қабілетті қызметкерлік жеңілдіктерге басымдық береді.
Senior Business Intelligence Analyst, Credit Risk (Hybrid)
Analyze lending data and credit-risk trends for Navy Federal Credit Union. Build dashboards, reports, and recommendations that help business leaders make informed decisions.
Сипаттама
- Gather, combine, and analyze structured and unstructured data from multiple sources to support credit-risk insights
- Examine data to identify and interpret meaningful trends and patterns
- Create recurring reports and visualizations that inform business decisions
- Lead analytical projects, clarify requirements, and recommend appropriate solutions
- Deliver actionable reports featuring KPIs, improvement opportunities, and root-cause analysis
- Build, maintain, and oversee advanced reporting, dashboards, and business intelligence solutions
- Partner with business units and senior management on analytical work
- Explain analytical findings and data outcomes to stakeholders and leaders
- Coach and support less experienced analysts
- Complete additional duties as assigned
Талаптар
- At least four years of experience in data analysis and reporting
- Comprehensive knowledge of the relevant business area or specialization
- Substantial experience researching, compiling, and documenting data, business processes, and workflows
- Advanced proficiency with standard ETL tools and methods
- Advanced knowledge of data warehousing, data cleansing, and analytical methods
- Advanced ability to manipulate complex data across multiple tables
- Proficiency in statistical and mathematical methods, forecasting, and cost-benefit analysis
- Ability to explain data analysis and visualizations to nontechnical and senior audiences
- Intermediate ability to use visualization, design, and narrative techniques to communicate insights
- Advanced proficiency in SQL, R, Python, SAS, or a comparable analytical tool
- Advanced proficiency in Tableau, Power BI, or a comparable data visualization platform
- Advanced proficiency in Microsoft Excel and PowerPoint
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related discipline
- Authorization to work in the United States without current or future sponsorship
- Advanced degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering is preferred
Артықшылықтар
- Highly competitive compensation
- Generous benefits and additional perks
- Professional experience within an energetic, engaged, and committed culture
- Equal employment opportunity
- Medical accommodations and assistance available throughout the application and hiring process
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