Financial Intelligence Data Analyst, Mid

Booz Allen Hamilton; Vienna (VA); Hybrid; USD 62,000 - 141,000; Full time

Job summary

Booz Allen Hamilton is seeking a data analyst to turn complex data into actionable insights for policymakers and national security policy. You will work on the Financial Intelligence team with clients to understand questions, access data-rich environments, and translate findings into strategic recommendations.

The role emphasizes producing data-driven analyses using SQL, Python, Jupyter, and visualization tools, to inform risk to the global financial system and economic security.

Qualifications

• Experience using open-source ML frameworks to answer business questions using proprietary data.
• Experience with statistical analysis, correlating disparate data, and OpenSearch analytics engine.
• Experience with probabilistic or predictive modeling.
• Experience performing data analysis using scripting languages such as Python, R, MATLAB, Spark or PySpark.
• Experience implementing ML processes into production software applications.
• Experience using big data tools to answer business questions with proprietary data.
• Experience building property graphs to perform network analytics.
• Ability to analyze large, unstructured, noisy datasets and identify actionable patterns.
• TS/SCI clearance.
• associate/bachelor/master degree with required years of experience.

Responsibilities

• Use technical knowledge to support client and stakeholder relationships.
• Develop, test data methodologies, and generate cross-functional solutions through analysis and visualization of large data sets.
• Contribute to impactful work and guide decision‑making across organizations.
• Simplify technical requirements and trends for diverse audiences.
• Present data findings and recommendations using SQL, Python, Jupyter, and Microsoft Office.
• Establish metrics for large-scale financial or trade analysis in response to geopolitical developments.
• Apply data visualization across formats like graphs, tables, PowerPoint, or Tableau.
• Grow communication and technical skills with data-centric solutions for intelligence audiences.

Skills

Open-source ML

Statistical analysis

Probabilistic modeling

Python

R

MATLAB

Spark

PySpark

MLOps

Graph analytics

Unstructured data analysis

TS/SCI clearance

Education

Associate degree + 6+ years data analysis

Bachelor's degree + 4+ years

Master's degree + 2+ years

Tools

OpenSearch

Big data tools

Databases

Job description

Job Number: R0236119

The Opportunity

As a data analyst, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you understand the importance of transforming complex data sets into useful information to solve challenges. As a data analyst at Booz Allen, you can use your skills and experience to support a mission and use data for good. We need a data analyst like you to bring your knowledge to inform policymakers of risks to the global financial system and economic security.

As a client‑facing data analyst on our Financial Intelligence team, you’ll work closely with your clients to understand their questions and needs and then dig into their data‑rich environments to find the pieces of their information puzzle. Not only will you provide a deep understanding of their data, but you’ll also advise your client on what the information means and how it can be used to make an impact on our national security policy and economic statecraft issues, contributing to high‑profile intelligence analysis for key policy and decision‑makers.

How You’ll Contribute

• Use your technical knowledge and analytical mindset to support client and stakeholder relationships.
• Research, develop, and test data methodologies, and generate cross‑functional solutions through analysis, interpretation, and visualization of large data sets for intelligence analysis.
• Contribute to impactful work and guide decision‑making across multiple organizations.
• Apply communication skills and data analytics experience by simplifying technical requirements and trends based on audience.
• Present data findings and recommendations to clients and stakeholders using databases, scripting languages such as SQL, Python, Jupyter, and Microsoft Office Suite.
• Establish quantitative and qualitative metrics to conduct large‑scale financial or trade analysis in response to geopolitical developments.
• Apply data visualization through different formats such as graphs, tables, PowerPoint slides, or Tableau.
• Grow your communication and technical skills by creating data‑centric solutions across intelligence community audiences.

You Have

• Experience using open‑source machine learning frameworks to answer business questions using proprietary data.
• Experience with statistical analysis, correlating disparate data, and OpenSearch analytics engine.
• Experience with probabilistic modeling or predictive modeling.
• Experience with performing data analysis using scripting languages such as Python, R, MATLAB, Spark or PySpark.
• Experience implementing machine learning processes into production software applications.
• Experience using big data tools to answer business questions with proprietary data.
• Experience building property graphs from multiple data sources to perform network analytics.
• Ability to analyze large, unstructured, and noisy datasets and identify meaningful patterns that provide actionable results.
• TS/SCI clearance.
• Associate’s degree and 6+ years of experience with data analysis, or Bachelor’s degree and 4+ years, or Master’s degree and 2+ years.

Nice If You Have

• Experience conducting data analysis in a cleared and intelligence community environment.
• Experience with financial and trade data analysis.
• Knowledge of Western Hemisphere regional security, crime, or financial issues.
• Knowledge of formal and informal financial systems.
• Knowledge of financial crime and unlawful financial activity typologies.
• Ability to write finished intelligence products that conform to analytic tradecraft standards.
• Financial Intelligence, Certified Anti‑Money Laundering Specialist (CAMS), Certified Global Sanctions Specialist (CGSS), or Certified Financial Crimes Specialist (CFCS) Certification.

Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well‑being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work‑life programs, and dependent care.

Salary range: $62,000.00 – $141,000.00 (annualized USD). The posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. The use of AI or other tools to assist with responses during interviews is prohibited unless permission is explicitly provided.

Work Model

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non‑Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.