Business Intelligence Engineer

Booz Allen Hamilton • McLean, VA

22d

About The Position

Booz Allen is seeking a data-driven Business Intelligence Engineer to use data engineering, modeling, and analytical skills to answer business questions and expand the team’s reporting capabilities. This internal-facing data analyst works with enterprise datasets, with a focus on pipeline, relationship management, and financial systems. The role combines technical expertise in data modeling and analytics with the ability to turn complex data into actionable business intelligence, and involves communicating with company leadership to identify trends and measure performance. U.S. citizenship is required due to the nature of work performed within the facility.

The role serves as a business intelligence engineer and data analyst for the company’s opportunity pipeline and CRM system. It gathers insights to help users understand opportunities, contacts, and lead generation for bid and resourcing decisions; creates dashboards and reports; develops and maintains scalable data models; builds and optimizes datasets; and uses AI tools and data architecture expertise to automate processes and improve reporting, analysis, and pipeline performance.

Requirements

• 5+ years of experience in data modeling, analytics, or business intelligence.
• 3+ years of experience with Power BI and Tableau dashboards.
• Knowledge of relational databases and dimensional modeling.
• Knowledge of data engineering syntax and its application.
• Bachelor’s degree.
• U.S. citizenship is required due to the nature of work performed within the facility.

Nice To Haves

• Experience with Salesforce.
• Ability to communicate complex data concepts simply to senior leadership.
• Excellent communication and presentation skills.

Responsibilities

• Serve as a business intelligence engineer and data analyst for the company’s opportunity pipeline and CRM system.
• Gather insights and trends to help users understand pipelines related to opportunities, contacts, and lead generation for bid and resourcing decisions.
• Create dashboards and reports using Power BI and Tableau.
• Apply statistical concepts, including regression models, probability distributions, and Monte Carlo simulations.
• Design and maintain scalable data models for reporting, dashboards, and advanced analytical needs.
• Build and optimize datasets within Databricks using SQL, Spark, Python, or other syntax involving complex tools.
• Leverage Agentforce and other applicable AI tools for automated solutions.
• Use data lake or warehouse architecture expertise to optimize cloud storage and pipeline performance.
• Automate manual processes to make analysis easier to interpret, including key performance indicators and trends.

Benefits

• Health, life, disability, financial, and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards program for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level