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Navy Federal Credit Union

Data Analyst

Navy Federal Credit Union

Data Analyst collaborating with business stakeholders to gather and analyze data for projects. Focused on data cleaning, processing, and supporting business intelligence initiatives.

Posted 5/6/2026full-timePensacola • Florida, Virginia, West Virginia • 🇺🇸 United StatesJuniorMid-Level💰 $68,300 - $107,300 per yearWebsite

Tech Stack

Tools & technologies
PySparkSQL

About the role

Key responsibilities & impact
  • Partner with business stakeholders and other analysts to understand business data needs, capture data requirements, and perform data collection, processing and cleaning.
  • Provide inputs for data science and business intelligence projects and perform analytical on large data sets to support departmental and organizational objectives.
  • Growing an understanding of business needs and objectives.
  • Solve a range of mostly straightforward problems with some increased scope and complexity.
  • Developing professional with basic skill set and proficiency with procedures and analysis techniques.

Requirements

What you’ll need
  • 2-5 years of experience in data analysis and reporting
  • Basic understanding of business and operating environment
  • Strong understanding of advanced data cleaning and preprocessing techniques and tools
  • Effective skill with analytical techniques required for data usage and data cleaning
  • Skill interpreting, extrapolating and interpolating data for statistical research and modeling
  • Knowledge of various data structures and ability to extract data sources (e.g., PySpark, PowerBI, SQL, SQL Server Integration Studios)
  • Knowledge of data governance principles and practices
  • Bachelor's Degree in Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Paid time off

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data analysisdata reportingdata cleaningdata preprocessinganalytical techniquesstatistical researchdata modelingdata structuresdata extraction
Soft Skills
problem solvingunderstanding business needscommunication