Senior Business Intelligence Analyst (Lending Analytics)

Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship.

As part of the originations forecasting team within Lending Analytics, the Senior Business Intelligence Analyst will lead reporting and analytics and insights for various portfolio originations including Cards, Consumer, Education Lending and Business Solutions. The Sr BIA will help to craft originations forecasts for major Lending portfolios using internal and external strategic considerations and present these to senior leaders. Support and quantify impact of business decisions by providing quantitative and qualitative data analysis and reporting of patterns, insights, and trends to leadership via dashboards and reports. Analyze business problems and issues using business intelligence tools that incorporate data from internal and external sources. Work under minimal supervision and use complete understanding of business needs and objectives to make recommendations that have impact on the achievement of operational goals. Advanced skill set and proficiency with procedures and analysis techniques as well as presentations.

This position is eligible for the TalentQuest employee referral program. If an employee referred you for this job, please apply using the system-generated link that was sent to you.

• Support Lending’s Annual Financial Planning (AFP) exercise by driving originations analytics and insights into members and products via internal and external data sources. Create dashboards and advanced reporting focusing on understanding the multitude of factors that influence originations including competitive environment, member personas and behavior, propensity for application for one/various products, engagement via channels over membership lifetime. Help create member and portfolio insights that could be used in forward-looking models to project originations.
• Collect, aggregate, and analyze data from multiple sources, including structured and unstructured data sets, to drive insights into business performance
• Identify, analyze, and interpret trends or patterns and prepare ongoing reports and data visualizations in order to support business decisions
• Develop, maintain, and manage advanced reporting, dashboards, and BI solutions
• Produce actionable reports that show key performance indicators, identify areas of improvement and ability to pinpoint early indications of deviation from expectations to be able to surface for leaders, 
• Use analytics and metrics to improve processes and provide data-driven forecasts of potential costs, risks, and profits of new business initiatives
• Communicate findings and insight to stakeholders including leaders and provide business strategy recommendations for optimizing business performance
• Provide reporting solutions and respond to ad-hoc report requests within the business area
• Create specifications for reports and analysis based on business needs and required or available data elements
• Build working relationships with team members and subject matter experts
• Lead small projects and initiatives, including quarterly or annual AFP refreshes

• Bachelor's Degree in Business Administration, Statistics, or related field
• 5-7 years of experience in big data analysis and business intelligence reporting
• Intermediate to advanced skill in utilizing work products to tell a story through appropriate balance of visualizations, design aesthetics, and words
• Strong knowledge and understanding of Lending products and processes in a financial services/banking context Advanced skill using business intelligence applications and/or cloud services including Tableau/PowerBI and ADO/Databricks to develop dashboards for senior leaders and business partners
• Advanced skill using statistical methods, mathematical techniques, forecasting, cost-benefit analysis
• Advanced skill in complex data manipulation across multiple tables
• Effective data integration, cleaning and validation skills
• Strong skills communicating data analysis and visualizations to nontechnical and senior audiences
• Skill with data analysis tools and programming languages such as Python, R
• Research skills
• Interpersonal skills
• Advanced knowledge of reporting capabilities of existing ERP, CRM and/or database software vendors

Desired Qualifications

• Master’s Degree in Business Administration, Statistics, or related field

Additional Information

Hours: 

• Monday - Friday, 8:00AM - 4:30PM

Location: 

• 820 Follin Lane, Vienna, VA 22180
• 5510 Heritage Oaks Drive, Pensacola, FL 32526