Summer Associate Internship (Business Intelligence Analyst)

Navy Federal Credit UnionPensacola, FL
$26 - $47Onsite

About The Position

Workforce Optimization (WFO) serves as Navy Federal's internal workforce analytics and staffing strategy function for Branch Operations. The team applies quantitative analysis, forecasting techniques, workforce modeling, and business intelligence to optimize staffing decisions across one of the nation's largest branch networks. By integrating operational data, employee capacity, and member demand patterns, WFO develops solutions that enhance member service delivery while maximizing organizational effectiveness. The Workforce Optimization team combines advanced analytics with real-world operational challenges to solve complex workforce problems. From forecasting member demand and evaluating staffing models to developing Power BI dashboards and supporting strategic workforce initiatives, the team translates data into actionable recommendations that directly impact branch performance and member experience. Through partnerships with senior leaders across the organization, WFO plays a critical role in shaping staffing strategies and driving data-informed decision making at scale. The Summer Associate Program is a 12-week internship program beginning in May 2027 and ending in August 2027. Students will work on impactful projects and meaningful work during their internship. To qualify for this position, applicants must be currently pursuing a degree from an accredited college or university and have an anticipated graduation date of December 2027 or later.

Requirements

  • Currently pursuing a master’s degree in business analytics, data science, or business administration
  • Experience with research, analysis, and data manipulation
  • Experience using data and analytic tools such as Power BI, Tableau, Databricks, Azure Data Studio, SQL, Python, GitHub, or R
  • Comfortable speaking and presenting to an executive audience
  • Comfort working with large datasets and telling stories with data
  • Ability to work independently and think outside of the box
  • Currently pursuing a degree from an accredited college or university and have an anticipated graduation date of December 2027 or later.

Responsibilities

  • Develop a predictive staffing risk model within the Branch Staffing Dashboard to forecast staffing gaps, identify branches at highest risk, and provide leaders with forward looking insights to support proactive workforce decisions
  • Develop a data-driven staffing workforce planning model for Branch Operations Support Teams that identifies key workload drivers and improves staffing and resource allocation decisions
  • Create a workforce planning simulator to model the staffing impacts of branch growth, workload changes, employee shrinkage, and strategic initiatives to support scenario planning and decision making
  • Analyzing multi-branch market strategies to develop data-driven staffing models that optimize workforce requirements for new branch openings, distribute specialized services across locations and support scalable branch expansion
  • Mine and analyze complex operational data to develop staffing models, scenario-planning tools, and actionable insights that optimize staffing, support growth initiatives and improve organizational effectiveness
  • Develop clear, user-friendly documentation and how-to guides to help internal stakeholders effectively navigate and leverage dashboards for decision-making
  • Present analytical results and dashboard capabilities to stakeholders across all levels, including senior leadership, to drive data-informed decision-making.
  • Become integrated into and participate in the day-to-day strategy, analysis, and operations of the team

Benefits

  • highly competitive pay
  • generous benefits and perks
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