Overview
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.
Support business decisions for the Consumer Loan Acquisition team within the Consumer Lending Products division 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.
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.
Responsibilities
- 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 into current operations, and display root cause analysis of problems
- 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 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
Qualifications
- Bachelor's Degree in Business Administration, Statistics, or related field
- 5-7 years of experience in data analysis and reporting
- Complete knowledge and understanding of business area/specialization
- Advanced skill using business intelligence applications and/or cloud services
- Advanced knowledge of reporting capabilities of existing ERP, CRM and/or database software vendors
- 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
- Skill 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
- Intermediate skill in utilizing work products to tell a story through appropriate balance of visualizations, design aesthetics, and words
Desired Qualifications
- Demonstrated experience applying analytics in a marketing and/or consumer loan products context, supporting acquisition, performance monitoring, or growth initiatives
Hours: Monday - Friday, 8:00AM - 4:30PM
Location: 820 Follin Lane, Vienna, VA 22180 | 5510 Heritage Oaks Drive, Pensacola, FL 32526 | 141 Security Drive, Winchester, VA 22602 | 9999 Willow Creek Road San Diego, CA 92131
About Us
Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.
Our approach to careers is simple yet powerful: Make our mission your passion.
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Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national or