Business Intelligence Intern

Leidos•Reston, VA

About The Position

The Business Intelligence Intern will support the R&D organization within the Digital Modernization Sector by developing, tracking, analyzing, and reporting key performance metrics that enable data-driven decision-making. This role partners with cross-functional technical and program teams to ensure accurate measurement of program health, milestone progress, resource utilization, and strategic outcomes. The Intern will help strengthen performance visibility, improve reporting processes, and contribute to continuous improvement initiatives across the R&D portfolio.

Requirements

Rising junior or senior pursuing a bachelor’s degree in Business Management.
Have worked in a diverse team environment and been successful in high-stress environments.
Ability to perform successfully in a highly complex business environment.
Be highly customer-oriented and demonstrate the ability to collaborate with various stakeholders.
Experience in operations to include defining metrics, data collection, data analysis, and reporting.
Experience in management to include leading a team, logistics planning, and financial management.
Proven track record of critical thinking and developing creative problem and hard problem solutions with a focus on outcome-based delivery of meaningful innovations.
Self-motivated and focused on delivering outcomes with the ability to work independently and in teams.

Responsibilities

Develop, maintain, and continuously improve performance metrics and KPIs for the R&D program.
Create standardized dashboards and reporting tools to track program health, milestones, and outcomes.
Collect, validate, and consolidate data from multiple sources to ensure accuracy and completeness.
Analyze quantitative and qualitative data to identify trends, risks, and opportunities for improvement.
Generate recurring weekly, monthly, and/or quarterly performance reports for leadership and stakeholders.
Support metric definition workshops with technical and program teams to ensure alignment with strategic objectives.
Conduct benchmarking analyses against internal goals and external industry standards where applicable.
Automate data collection and reporting processes to improve efficiency and reliability.
Support continuous improvement initiatives by translating data insights into actionable recommendations and after-action reports.
Prepare executive-ready presentations summarizing performance insights and key takeaways.