Business Intelligence Analyst

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.

Support business decisions by providing quantitative and qualitative analysis of portfolio performance, identifying key trends, patterns, risks, and opportunities that enable data-driven decision-making. Conduct in-depth research using internal and external data, perform industry and competitive benchmarking, monitor market developments, and assess performance and emerging trends. Leverage business intelligence and querying tools to analyze data, build dashboards and reports, and translate findings into thoughtful, actionable insights presented to leadership. Develop an understanding of business needs, objectives, and key performance drivers while independently solving straightforward analytical problems and contributing to research and analysis of increasing scope and complexity. Build proficiency in analytical techniques, research methods, business intelligence tools, and effective communication of insights through reports, presentations, and leadership discussions..

• Follow standard procedures to create and/or update moderately complex reports and dashboards
• Identify and analyze trends or patterns and prepare ongoing reports and data visualizations in order to support business decisions
• Contribute to reports and in-depth research that evaluate key performance indicators, identify trends and patterns, and provide meaningful insights to support business decisions.
• Communicate findings and insight to peers and up to senior level management
• Create specifications for reports and analysis based on business needs and required or available data elements
• Collaborate with team members and participate in team projects and initiatives
• 2+ years of work experience in data analysis and reporting
• Working proficiency in SQL for querying and analyzing data; familiarity with R and/or Python is preferred
• Knowledge of data integration, cleaning and validation techniques
• Strong data analysis, research and interpersonal skills
• Basic understanding of business and operating environment
• Effective skill using business intelligence applications and/or cloud services
• Effective skill using statistical methods, mathematical techniques, forecasting, cost-benefit analysis
• Working knowledge of various data structures and the ability to manipulate data within visualization tools such as Tableau and Power BI

Additional Information

Hours

• Monday - Friday, 8:00AM - 4:30PM

Location

• 820 Follin Lane, Vienna, VA 22180
• 5510 Heritage Oaks Drive, Pensacola, FL 32526