Senior Business Intelligence Analyst

Navy Federal•Pensacola, FL

About The Position

Navy Federal Credit Union is hiring a Senior Business Intelligence Analyst to support business decisions by providing quantitative and qualitative data analysis and reporting on patterns, insights, and trends to leadership through dashboards and reports. The role analyzes business problems using business intelligence tools that incorporate internal and external data. Working under minimal supervision, the analyst applies a comprehensive understanding of business needs and objectives to develop recommendations that affect operational goals and strategic decision-making. The position requires advanced proficiency in analytical techniques, reporting solutions, and data visualization tools. Applicants must be authorized to work in the United States without current or future sponsorship; Navy Federal Credit Union does not provide sponsorship for this role. The position is located at either 820 Follin Lane, Vienna, Virginia, or 5510 Heritage Oaks Drive, Pensacola, Florida. Hours are Monday through Friday, 8:00 a.m. to 4:30 p.m.

Requirements

  • At least 5 years of experience in data analysis and reporting.
  • Comprehensive knowledge and understanding of the relevant business-area specialization.
  • Advanced proficiency with business intelligence applications and/or cloud-based analytics solutions, including Power BI.
  • Advanced knowledge of reporting capabilities within CRM, PEGA, database, and other enterprise systems.
  • Advanced proficiency in statistical methods, mathematical techniques, forecasting, and cost-benefit analysis.
  • Advanced SQL skills, including complex queries, joins, data manipulation, and analysis across multiple tables.
  • Skills in data integration, cleansing, validation, and quality assurance.
  • Ability to communicate analytical findings and visualizations to technical audiences and senior leadership.
  • Skills with data analysis tools and programming languages such as SQL, Python, and R.
  • Advanced ability to use visualizations, design principles, and written communication to tell a story with data.
  • Research skills.
  • Interpersonal skills.
  • Experience developing and maintaining dashboards, reports, and visualizations in Power BI.

Nice To Haves

  • Bachelor’s degree in Business Administration, Statistics, Analytics, Data Science, Economics, or a related field, or an equivalent combination of education, training, and experience.
  • Experience supporting fraud, risk, security, operational, financial, or member analytics functions.
  • Experience in a financial institution, credit union, banking environment, or other regulated industry.
  • Experience with Power BI capabilities such as DAX, Power Query, and semantic modeling.
  • Experience presenting analytical findings and recommendations to senior leaders and executive stakeholders.
  • Experience with predictive analytics, machine learning, or advanced statistical modeling.

Responsibilities

  • Collect, aggregate, and analyze structured and unstructured data from multiple sources to generate insights into business performance, risk, and operational opportunities.
  • Identify, analyze, and interpret trends and patterns, and prepare reports, dashboards, and data visualizations to support business decisions.
  • Develop, maintain, and manage advanced reporting, dashboards, data models, and business intelligence solutions using Power BI and related technologies.
  • Produce actionable reports highlighting key performance indicators, improvement opportunities, and root-cause analysis.
  • Use analytics and metrics to improve processes and create data-driven forecasts of potential costs, risks, and business impacts.
  • Communicate findings and recommendations to stakeholders and leadership to optimize business performance and support strategic initiatives.
  • Provide reporting solutions and respond to ad hoc reporting and analytical requests within the business area.
  • Create specifications for reports and analyses based on business requirements and available data sources.
  • Build and maintain effective working relationships with team members, business partners, and subject matter experts.
  • Lead small projects and initiatives and contribute to larger cross-functional analytical efforts.
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