The Opportunity:

As a Data Analyst, you enjoy 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 client-facing data analyst on our team, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, Agile environment. You’ll use your knowledge in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients. You will also 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 impact missions.

Join us. The world can’t wait.

You Have:

• Experience with data visualization techniques and tools, including Power BI, Tableau or Microsoft Fabric, and Spark or PySpark for data analysis

• Experience with structured data using tools, including SQL, R, or Python programming languages, data visualization software, and statistical analysis

• Experience analyzing data sets to spot trends and patterns that can be translated into actionable insights

• Experience with statistics and statistical software, including Excel

• Experience in data validation and cleaning to ensure the quality and integrity of data

• Knowledge of automation and how to tighten work processes into a true flow

• Knowledge of how to apply statistical analysis techniques to large datasets

• Secret clearance

• Bachelor's degree

Nice If You Have:

• Experience developing Microsoft 365 power applications

• Experience with development in Maven Smart System (MSS)

• Experience with agile methodologies

• Experience with working on real-time data and streaming applications

• Knowledge of machine learning techniques and tools

• Ability to develop scripts and programs for converting various types of IoT and sensor data into usable formats

• Ability to communicate technical information and recommendations to peers, engineers, and analytic customers

• Master's degree

• Certified Analytics Professional (CAP) Certification

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, 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.

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.