Financial Intelligence Data Analyst, Mid
The Opportunity:
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:
As a data analyst on our team, you'll:

• 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 your knowledge of 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.

Work with us to help drive large-scale business and process decisions through data insights.

Join us. The world can't wait.

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 in 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, Bachelor's degree and 4+ years of experience with data analysis, or Master's degree and 2+ years of experience with data analysis

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. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This 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 to ensure authenticity and protect against identity fraud. 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. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• 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.