Business Intelligence Engineer

Booz Allen Hamilton • McLean, VA

6d • $77,600 - $176,000 • Hybrid

About The Position

Booz Allen is seeking a data-driven Business Intelligence Engineer and data analyst to use data engineering, modeling, and analytical skills to address business questions. The role is internal-facing and works with enterprise datasets, particularly pipeline, relationship management, and financial systems. The analyst will strengthen reporting capabilities, turn complex data into actionable business intelligence, and communicate with company leadership about trends and performance. U.S. citizenship is required due to the nature of the work performed within the facility.

The position supports the company's opportunity pipeline and CRM system. It involves developing dashboards and reports, designing scalable data models, building and optimizing datasets, applying statistical concepts, using AI tools for automation, and improving cloud storage and pipeline performance. The role is hybrid and based in McLean, Virginia.

Requirements

• At least 5 years of experience in data modeling, analytics, or business intelligence.
• At least 3 years of experience with Power BI and Tableau dashboards.
• Experience using SQL or Databricks to conduct analysis.
• Knowledge of relational databases and dimensional modeling.
• Knowledge of data engineering syntax and its application.
• Bachelor's degree.
• U.S. citizenship.

Nice To Haves

• Experience with Salesforce.
• Ability to communicate complex data concepts clearly 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.
• Identify insights and trends in opportunities, contacts, and lead generation to support bid and resourcing decisions.
• Create dashboards and reports using Power BI and Tableau.
• Apply statistical concepts such as 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 applicable syntax and tools.
• Leverage Agentforce and other applicable AI tools to create automated solutions.
• Use expertise in data lake or warehouse architecture to optimize cloud storage and pipeline performance.
• Automate manual processes to make analyses, KPIs, and trends easier to interpret.

Benefits

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

What This Job Offers

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