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Navy Federal Credit Union is a member-owned financial institution serving more than 14 million members, primarily from the Armed Forces, Department of Defense, veteran communities, and their families. As the world’s largest credit union, it provides banking and financial services through a workforce of more than 24,000 employees across campuses and over 360 branches. Its career opportunities support the organization’s mission of delivering high-quality service to its members, with an emphasis on meaningful work experiences and competitive employee benefits.
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.
United States
Florida$96,900 – $124,200 / year
HybridFull-timeSeniorEnglish RequiredBusiness Intelligence DeveloperDescription
- 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
Requirements
- 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
Benefits
- 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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