Overview
On Site
Hybrid
Full Time
Skills
Data Analysis
Reporting
Decision-making
Analytical Skill
Regression Analysis
Clustering
Modeling
Workflow
Dashboard
Analytics
Documentation
Python
SQL
PySpark
Microsoft Power BI
Tableau
Machine Learning (ML)
Time Series
Forecasting
Optimization
Communication
Collaboration
Cloud Computing
Microsoft Azure
Databricks
Research
Presentations
Conflict Resolution
Problem Solving
Critical Thinking
Science
Statistics
Operations Research
Mathematics
Military
Media
IP
Intellectual Property
Recruiting
Market Analysis
Policies and Procedures
Job Details
Overview
The Data Analytics and Reporting team at NFFG develops scalable analytics solutions that support investment strategy, member engagement, and business performance. This role involves building predictive models and applying mathematical optimization to improve targeting and decision-making. Responsibilities also include automating data pipelines and workflows, developing interactive dashboards, and producing recurring reports that deliver clear, actionable insights. Success in this role requires strong technical skills, business understanding, and the ability to communicate analytical findings effectively across teams.
Responsibilities
Develop and deploy predictive models (classification, regression, clustering, time series) to support investment behavior analysis and member targeting.
Automate data pipelines and modeling workflows for scalable deployment across data channels.
Develop interactive dashboards to visualize key trends and model insights
Apply mathematical optimization to improve portfolio strategy, and campaign effectiveness.
Conduct deep-dive analyses on member behavior, transactions, and product adoption to guide data-driven decisions.
Collaborate with cross-functional teams to align analytics with business objectives.
Present findings clearly to technical and non-technical audiences
Model monitoring and documentation
Qualifications
3+ years of experience with requisite competencies
Proficient in Python, SQL, PySpark, Power BI (or Tableau)
Hands-on experience with statistics, machine learning, time series forecasting, and mathematical optimization
Strong communication, collaboration and presentation and problem-solving skills
Experience with cloud platforms (e.g., Azure Databricks)
Research skills
Independent judgment
Data storytelling and technical presentation skills
Problem solving and critical thinking
Bachelor's Degree in Computers Science, Engineering, Statistics, Operations Research, Mathematics, or degrees in similar quantitative fields
Desired Qualification(s)
Master's/PhD Degree in Computers Science, Engineering, Statistics, Operations Research, Mathematics, or degrees in similar quantitative fields
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.
Best Companies for Latinos to Work for 2024
Computerworld Best Places to Work in IT
Forbes 2024 America's Best Large Employers
Forbes 2024 America's Best Employers for New Grads
Forbes 2024 America's Best Employers for Tech Workers
Fortune Best Workplaces for Millennials 2024
Fortune Best Workplaces for Women 2024
Fortune 100 Best Companies to Work For 2024
Military Times 2024 Best for Vets Employers
Newsweek Most Loved Workplaces
2024 PEOPLE Companies That Care
Ripplematch Recruiting Choice Award
Yello and WayUp Top 100 Internship Programs
From Fortune . 2024 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.
Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected Veteran.
Hybrid Workplace: Navy Federal Credit Union is a hybrid workplace, and details will be discussed during your interview process.
Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position
Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.
The Data Analytics and Reporting team at NFFG develops scalable analytics solutions that support investment strategy, member engagement, and business performance. This role involves building predictive models and applying mathematical optimization to improve targeting and decision-making. Responsibilities also include automating data pipelines and workflows, developing interactive dashboards, and producing recurring reports that deliver clear, actionable insights. Success in this role requires strong technical skills, business understanding, and the ability to communicate analytical findings effectively across teams.
Responsibilities
Develop and deploy predictive models (classification, regression, clustering, time series) to support investment behavior analysis and member targeting.
Automate data pipelines and modeling workflows for scalable deployment across data channels.
Develop interactive dashboards to visualize key trends and model insights
Apply mathematical optimization to improve portfolio strategy, and campaign effectiveness.
Conduct deep-dive analyses on member behavior, transactions, and product adoption to guide data-driven decisions.
Collaborate with cross-functional teams to align analytics with business objectives.
Present findings clearly to technical and non-technical audiences
Model monitoring and documentation
Qualifications
3+ years of experience with requisite competencies
Proficient in Python, SQL, PySpark, Power BI (or Tableau)
Hands-on experience with statistics, machine learning, time series forecasting, and mathematical optimization
Strong communication, collaboration and presentation and problem-solving skills
Experience with cloud platforms (e.g., Azure Databricks)
Research skills
Independent judgment
Data storytelling and technical presentation skills
Problem solving and critical thinking
Bachelor's Degree in Computers Science, Engineering, Statistics, Operations Research, Mathematics, or degrees in similar quantitative fields
Desired Qualification(s)
Master's/PhD Degree in Computers Science, Engineering, Statistics, Operations Research, Mathematics, or degrees in similar quantitative fields
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.
Best Companies for Latinos to Work for 2024
Computerworld Best Places to Work in IT
Forbes 2024 America's Best Large Employers
Forbes 2024 America's Best Employers for New Grads
Forbes 2024 America's Best Employers for Tech Workers
Fortune Best Workplaces for Millennials 2024
Fortune Best Workplaces for Women 2024
Fortune 100 Best Companies to Work For 2024
Military Times 2024 Best for Vets Employers
Newsweek Most Loved Workplaces
2024 PEOPLE Companies That Care
Ripplematch Recruiting Choice Award
Yello and WayUp Top 100 Internship Programs
From Fortune . 2024 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.
Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected Veteran.
Hybrid Workplace: Navy Federal Credit Union is a hybrid workplace, and details will be discussed during your interview process.
Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position
Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.