Data Analyst

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.

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.

Design, develop, and optimize data pipelines and systems for the collection, connection, and storage of data. Manage and implement data risk controls. Implement data processing tasks.

Responsibilities

• Contribute to the development of technical requirements including data definitions, business rules, and data quality requirements; conduct data UAT, and data accuracy, validation, integrity research
• Identify and compile data sets using a variety of tools to help predict, improve, and measure the success of key business-to-business outcomes
• Document data collection, cleaning, and governance procedures, maintaining comprehensive documentation to ensure transparency, repeatability, and compliance with data governance standards
• Develop and maintain data pipelines and workflows.
• Collaborate with stakeholders to gather data requirements and ensure alignment with business needs and objectives.
• Design and build data pipelines for data collection, connection, and storage.
• Develop and enforce data governance policies and best practices to ensure data integrity.
• Ensure data quality and performance at scale.
• Help with the collection, connection, and storage of data.
• Optimize existing data workflows and ensure system reliability

Qualifications

• Bachelor's Degree in Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
• Experience in design, development, and monitoring of complex databases including relational databases, schemas, data structure, and the use of SQL and API concepts.
• Strong 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)
• Knowledge of data governance principles and practices

Additional Information

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

About Us