Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or similar quantitative fields
3-5 years of experience in exploratory data analysis
Proficiency in SQL for data extraction and manipulation
Experience with Python and/or R for data analysis and modeling
Familiarity with data visualization tools to communicate insights
Responsibilities
Design and evaluate predictive models and algorithms for market intelligence
Apply statistical analysis and machine learning to generate business insights
Analyze various data types to assess market opportunities and membership growth
Develop analytical frameworks to forecast growth and support strategic planning
Transform data into visual formats that aid decision-making
Benefits
Work-life balance with Monday to Friday hours
Opportunity to work in a collaborative team environment
Engagement in meaningful projects that impact organizational growth
Access to advanced analytics tools and technologies
Professional development opportunities within the organization
Full Job Description
Job Description
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.
Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization. Understand business needs and identify opportunities for new products, services, and process optimization to meet business objectives through the use of cutting-edge data science.
Create descriptive, predictive, and prescriptive models and insights to drive impact across the organization. Conduct work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment. Intermediate professional within field; requires moderate skill set and proficiency in discipline.
This position is part of the Branch Operations Insights and Analytics team and supports market intelligence and branch growth strategy. The role applies advanced analytics to better understand market opportunities, membership growth, product adoption, and member engagement.
Responsibilities
Design, develop, and evaluate moderately complex predictive models and advanced algorithms to support market intelligence and branch growth strategy
Apply statistical analysis, machine learning, forecasting, and trend analysis to identify patterns and generate meaningful business insights
Analyze member, demographic, geographic, financial, and behavioral data to assess market opportunity and understand the drivers of membership growth, product adoption, and engagement.
Develop models and analytical frameworks to forecast growth, estimate market potential, and support strategic planning.
Identifies meaningful insights from large data and metadata sources
Test hypotheses/models, analyze, and interpret results
Exercise sound judgment and discretion within defined procedures and practices
Develop and code moderately complex software programs, algorithms, and automated processes
Use modeling and trend analysis to analyze data and provide insights
Develop understanding of best practices and ethical AI
Transform data into charts, tables, or format that aids effective decision making
Build working relationships with team members and subject matter experts
Lead small projects and initiatives
Utilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholders
Develop predictive models and analytical frameworks to forecast membership growth, product adoption, and market potential
Analyze member, demographic, geographic, and behavioral data to identify market opportunities and inform branch growth strategy
Collaborate with business and geospatial partners to translate analytical findings into insights and recommendations
Qualifications
Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
3-5 years of experience in exploratory data analysis
Basic understanding of business and operating environment
Statistics
Programming, data modeling, simulation, and advanced mathematics
Experience using SQL to extract, manipulate, and analyze data.
Proficiency in Python and/or R for data analysis and modeling
Experience using Databricks to prepare and analyze large datasets
Experience using data visualization tools to communicate insights and support decision-making
Model lifecycle execution
Technical writing
Data storytelling and technical presentation skills
Research Skills
Interpersonal Skills
Working knowledge of procedures, instructions, and validation techniques
Model Development
Communication
Critical Thinking
Collaborate and Build Relationships
Initiative with sound judgement
Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
Sound Judgment
Problem Solving (Responds as problems and issues are identified)
Desired Qualifications
Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering
Experience with Alteryx and/or ArcGIS
Experience with market intelligence, forecasting, member or customer analytics, or growth modeling
Experience incorporating spatial, geographic, or demographic data into analyses or predictive models
Additional Information
Hours:
Monday - Friday, 8:00AM - 4:30PM
Location:
820 Follin Lane, Vienna, VA 22180
5510 Heritage Oaks Drive, Pensacola, FL 32526
About Navy Federal Credit Union
Navy Federal Credit Union is a credit union that serves members of the military and their families. The credit union offers a range of financial products and services, including checking and savings accounts, loans, and credit cards. Navy Federal Credit Union was founded in 1933 and is headquartered in Vienna, Virginia. The credit union has more than 9 million members and operates more than 300 branches across the United States and around the world.
