Enterprise Data Analyst


: $86,730.00 - $151,690.00 /year *

Employment Type

: Full-Time


: Information Technology


You have goals, dreams, hobbies and things you re passionate about.

What s Important to You Is Important to Us
We re looking for people who not only want to do meaningful, challenging work, keep their skills sharp and move ahead, but who also take time for the things that matter to them friends, family and passions. And we're looking for team members who are passionate about our mission making a difference in military members' and their families' lives. Together, we can make it happen.

Don t take our word for it.

  • FORTUNE 100 Best Companies to Work For
  • Computerworld Best Places to Work in IT
  • FORTUNE Best Workplaces for Millennials
  • Forbes America s Best Employers
  • PEOPLE Companies That Care


Basic Purpose

Collect, analyze, interpret and provide analytical insight from large data to support overall enterprise decision making. Develop analytics solutions to drive decisions and optimize business results. Considered a key stakeholder/key contributor on highly complex initiatives and project teams.


Develop, maintain, and manage advanced reporting, dashboards and analytical results
Evaluate and define functional requirements for analytics and business intelligence (BI) solutions
Understand intersection and alignment of data components of projects and initiatives to provide recommendations to management to maximize value to the organization
Retrieve, analyze and validate data and test accuracy of reported results; identify data trends and patterns to guide decision making
Work with project leads to understand requirements and propose key analytics solutions to drive effective decision making and influence business objectives
Prepare reports that identify areas of improvement for current operations, and show root cause analysis of problems
Communicate analytical and data outcomes to project leads and stakeholders
Assist with preparing project implementation plans which highlight major milestones and deliverables, leveraging standard methods and work planning tools
Identify potential issues and risks during the analytics project implementation and recommend mitigation strategies
Collaborate with business units and senior management to conduct needs assessment to support business unit objectives
Assist with preparing high quality project deliverables that are valued by the business and present them in such a manner that they are easily understood by project stakeholders
Interpret data presented in models, charts, and tables and transform it into data visualizations that are useful to the business and contributes to effective decision making
Utilize measurement and statistical practices to analyze current and historical data to identify risks and opportunities enabling better decisions on planned/future events
Perform other duties as assigned

Qualifications and Education Requirements:

Bachelor s degree in Information Systems, Computer Science, or related field, or the equivalent combination of education, training and experience
Significant experience in the application of statistical methods, mathematical techniques, forecasting, cost-benefit analysis and related analytical tools
Advanced knowledge of and the ability to perform statistical analysis such as measures of central tendency, normal distribution, variance, standard deviation, basic tests, correlation, and regression techniques
Advanced knowledge of ETL tools and techniques
Advanced knowledge of Agile frameworks (e.g., SAFE)
Advanced knowledge of SQL
Advanced knowledge of various data structures and formats with the ability to extract data from various data sources (e.g., Cognos, Apache Spark)
Advanced knowledge of multiple database concepts and data flows
Significant experience in working with data visualization tools such as Microsoft Power BI, Tableau
Advanced knowledge of data mapping techniques and data pipelines
Expert research, analytical, and problem solving skills
Advanced skill communicating with all levels within an organization
Advanced skill presenting findings, conclusions, alternatives and information clearly and concisely
Advanced skill interpreting, extrapolating and interpolating data for statistical research
Advanced skill understanding and analyzing models that predict the probability of an outcome
Advanced skill collecting and manipulating data used in effective decision making
Advanced knowledge of data warehousing, data cleaning, and other analytical techniques required for data usage
Advanced knowledge of the process of sourcing raw data and cleansing techniques
Advanced knowledge of data models, design tools, business/technical requirements, statistical programming languages, data queries
Advanced skill identifying and analyzing business requirements and recommending solutions
Expert verbal interpersonal and written communication skills
Expert database, word processing, spreadsheet, and presentation software skills
Ability to work independently and in a team environment

Desired Qualifications and Education Requirements:

Advanced knowledge of Navy Federal functions, philosophy, operations and organizational objectives

Hours: Monday Friday, 8:00 am to 4:30 pm

Location: 820 Follin Lane, Vienna, VA 22180

Equal Employment Opportunity

Navy Federal values, celebrates, and enacts diversity in the workplace. Navy Federal takes affirmative action to employ and advance in employment qualified individuals with disabilities, disabled veterans, Armed Forces service medal veterans, recently separated veterans, and other protected veterans. EOE/AA/M/F/Veteran/Disability


Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need.

Bank Secrecy Act

Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

Job Requirements:

Associated topics: data administrator, data architect, data integration, data integrity, data manager, database, database administrator, erp, hbase, sybase * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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