Navy Federal Credit Union
Navy Federal Credit Union
Navy Federal Credit Union एक सदस्य-स्वामित्व वाली वित्तीय संस्था है, जो 1.4 करोड़ से अधिक सदस्यों को सेवाएँ प्रदान करती है। इसके सदस्य मुख्य रूप से सशस्त्र बलों, रक्षा विभाग, पूर्व सैनिक समुदायों और उनके परिवारों से हैं। दुनिया की सबसे बड़ी क्रेडिट यूनियन के रूप में, यह 24,000 से अधिक कर्मचारियों के माध्यम से परिसरों और 360 से अधिक शाखाओं में बैंकिंग और वित्तीय सेवाएँ उपलब्ध कराती है। यहाँ करियर के अवसर सदस्यों को उच्च गुणवत्ता वाली सेवा देने के संगठन के मिशन का समर्थन करते हैं और सार्थक कार्य अनुभवों तथा प्रतिस्पर्धी कर्मचारी लाभों पर जोर देते हैं।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • 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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