The Opportunity:

As a Data Analyst, you have a passion for going beyond simple analysis to build predictive models and algorithms. You thrive on the challenge of transforming vast amounts of structured and unstructured data not just into insights, but into machine learning and artificial Intelligence solutions to solve complex challenges.

As a client facing Data Analyst, you’ll work with and guide a small team of analysts, developers, and data consumers in a fast-paced, Agile environment. You’ll apply your deep knowledge of machine learning and statistical modeling as you lead the design, development, and deployment of predictive models for your clients. You will also work closely with your clients to understand their questions and challenges, and then architect data-driven solutions within their data-rich environments. Not only will you build models to predict future outcomes, but you’ll also advise your client on what these predictions mean and how they can be used to proactively shape mission success.

Join us. The world can't wait.

You Have:

• Experience developing software or data applications using Python and SQL
• Experience with data visualization techniques and tools such as Power BI or Tableau

• Experience with modern web application technologies, APIs, or full-stack development

• Experience in data validation, feature engineering, and preparing complex data sets for machine learning

• Experience with data modeling, data integration, data transformation, and analytical workflows
• Experience working directly with end users to discover requirements, validate solutions, and drive adoption

• Knowledge of statistical analysis and modeling techniques such as regression, classification, or clustering
• Secret clearance
• HS diploma or GED

Nice If You Have:

• Experience with Palantir Foundry and Maven Smart System
• Experience with React, Node.js, Express, FastAPI, MongoDB, Docker, or AWS
• Experience developing custom data-driven applications or user interfaces for data input and visualization
• Experience with agile methodologies
• Experience developing real-time or event-driven applications
• Ability to communicate technical information and recommendations to peers, engineers, and analytic customers
• TS/SCI clearance
• Bachelor's degree

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret 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.

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. 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 or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a 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.