Business Intelligence Analyst

Booz Allen Hamilton•McLean, VA

1d•$99,000 - $225,000•Remote

About The Position

The Business Intelligence Analyst role involves building and maintaining actionable and automated Tableau dashboards, alerts, data models, data queries, and other data solutions for internal and client-facing business leaders. This position partners with teams across the organization on initiatives that drive strategy, improve enterprise reporting capabilities, and accelerate the adoption of modern data and AI technologies. The solutions evolve continuously to meet emerging business priorities, with a growing emphasis on AI-assisted development, Databricks-based data engineering, and scalable analytics platforms. This is a highly visible technical lead role where the individual will set the technical direction for enterprise data products, guide the day-to-day work of analysts and engineers, and partner with senior leaders on decisions related to contracts, staffing, and risk mitigation. The role requires remaining hands-on with a focus on designing models, building in Databricks, and owning complex delivery, while coaching others and raising the quality bar across the team. The analyst will have an opportunity to make a measurable and meaningful impact on the success of the company by building innovative, AI-enabled data solutions that leaders rely on daily. In this role, the analyst will develop partnerships with business leaders to understand, document, prioritize, and solve company-wide reporting requirements. Equipped with communication, technical leadership, project management, data modeling, and data visualization expertise, the analyst will collaborate with and guide data scientists and data engineers to transform disparate data sources into meaningful insights. The analyst will set standards for how Databricks and other advanced analytics tools are used to refine pipelines, automate workflows, and enhance the performance and reliability of enterprise data products. The analyst will also own existing dashboards and reporting assets, updating, troubleshooting, and enhancing them as business needs evolve. The team is transforming Booz Allen by paving the way for enterprise reporting while infusing advanced analytics, AI innovation, Databricks-driven automation, and modern data engineering practices into internal business operations. This is a highly collaborative role that requires critical thinking, creative problem-solving, sound judgment under ambiguity, and a can-do attitude when faced with complex analytical challenges. Due to the nature of work performed within this facility, U.S. citizenship is required.

Requirements

5+ years of experience with reporting or BI tools, including building dashboards in Power BI or Tableau
5+ years of experience with data modeling and building workflows in Databricks or Alteryx
Experience with Databricks, including building notebooks that support production dashboards and data products
Experience serving as a technical lead on reporting, BI, or data-engineering delivery
Ability to work independently, lead through influence, and collaborate with cross-functional teams
Ability to ensure data accuracy and quality, and to raise those standards across a team
Ability to adapt to changing needs, manage competing priorities, and explain technical concepts to non-technical stakeholders
Knowledge of AI tooling and experience applying AI-assisted methods to analytics or data engineering work
Bachelor’s degree
U.S. citizenship is required

Nice To Haves

Experience defining Databricks or enterprise-analytics patterns, such as notebooks, jobs, environments, access, and reliability practices
Experience presenting to senior stakeholders and influencing without formal authority
Possession of excellent analytical and problem-solving skills
Master’s degree in a related field

Responsibilities

Serve as the technical lead for enterprise dashboards, data models, and Databricks workflows, and set design patterns, quality standards, and review practices for the team.
Remain hands-on, own complex dashboards and data models, and update, troubleshoot, and enhance them as needs change.
Use Databricks and related tools to refine pipelines, automate workflows, and build notebooks that feed enterprise data products, and guide others in doing the same.
Mentor and provide day-to-day technical directions to analysts and engineers, including work review, coaching, and helping prioritize delivery.
Partner with leaders to document, prioritize, and deliver company-wide reporting needs, and translate executive asks into a sequenced technical plan.
Collaborate with data scientists and engineers to turn disparate sources into actionable, production-grade insights.
Drive adoption of AI-assisted development and modern analytics practices across the team’s delivery model.