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England, United Kingdom
Onsite
Not Available
The Opportunity:
We are seeking a highly motivated Data Analyst to support USAFRICOM by delivering advanced data analytics, automation, and intelligence support capabilities that enable data-driven operational and strategic decision-making. In this role, you will apply data analysis best practices and tradecraft techniques to process, store, and quantitatively exploit multi-source datasets such as Publicly Available Information (PAI) and Commercially Available Information (CAI). You will develop and implement automated analytics, conduct large-scale quantitative analysis, and leverage programming and scripting tools such as Python, R, Java, Spark, Databricks, and Azure technologies to transform complex data into actionable intelligence products. A core responsibility includes ensuring compliance with Intelligence Community directives, data security requirements, operational planning standards, and data quality practices throughout all analytical activities.
You will clean, organize, integrate, and maintain structured and unstructured datasets while developing scalable data models, dashboards, visualizations, and analytical products that effectively communicate findings to technical and non-technical stakeholders. Working closely with military personnel, partner nations, policymakers, law enforcement organizations, and cross-functional teams, you will identify customer requirements, translate operational needs into analytical solutions, and support the development of fused intelligence products. You will document analytic methodologies and processes, conduct exploratory and operational analysis of large datasets, and balance accuracy with operational timelines to support mission objectives. Additionally, you will provide formal and informal reports, briefings, presentations, talking points, and decision-support materials while contributing to customer outreach, stakeholder engagement, and reporting or accountability mechanisms.
As a subject matter expert in data analytics, PAI, and CAI exploitation, you will research, evaluate, and recommend emerging technologies, tools, and analytical methodologies to improve mission effectiveness and operational understanding. You will participate in national and international meetings, committees, symposiums, and evaluations of analytical software, tools, and datasets in support of continuous capability enhancement. This role requires strict adherence to operational security procedures, Intelligence Community tradecraft standards, and information-sharing directives, and may involve the use of advanced collection techniques within DoD-approved managed attribution environments. The ideal candidate will demonstrate the ability to independently synthesize complex information, manage multiple competing priorities, and deliver high-quality analytical products that support strategic and operational intelligence requirements.
Join us. The world can’t wait.
You Have:
Experience in data science, data engineering, or quantitative analytics, including ETL development, data integration, data modeling, automation, and geospatial or geo-enabled datasets
Experience leveraging programming and scripting languages such as Python, R, or Java for data analysis, automation, and large-scale data processing
Experience with big data platforms and cloud-based technologies, including Databricks, Azure, or Spark
Experience working with Publicly Available Information (PAI), Commercially Available Information (CAI), or multi-source intelligence datasets
Knowledge of machine learning (ML), artificial intelligence (AI), automation, and advanced analytical techniques
Ability to query, synthesize, and interpret large datasets to identify trends, insights, and operational relevance
Ability to manage multiple projects and priorities in fast-paced environments while meeting tight deadlines
Ability to work collaboratively across teams and translate customer requirements into actionable analytical solutions
TS/SCI clearance
Bachelor’s degree in Mathematics, Statistics, Operations Research, Engineering, Data Science, or Computer Science
Nice If You Have:
2+ years of experience supporting a Combatant Command environment
Experience with operational planning policies, ICD-203, ICD-501, ICS-206, or Intelligence Community tradecraft standards
Experience delivering briefings and presentations to technical and non-technical audiences
Experience developing dynamic dashboards and real-time operational visualizations
Experience supporting fused intelligence production and documenting analytic methodologies
Experience evaluating and testing analytical software, datasets, and mission tools
Experience with advanced collection techniques or managed attribution environments
Possession of strong written and verbal communication skills
Master’s degree in Mathematics, Statistics, Engineering, Data Science, or Computer Science
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 $77,500.00 to $176,000.00 (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.
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.