At a Glance
- Tasks: Analyse data to support strategic decisions and develop automated analytics.
- Company: Join a leading firm dedicated to innovative data solutions.
- Benefits: Enjoy competitive pay, health benefits, and professional development opportunities.
- Other info: Collaborate with diverse teams and enjoy excellent career growth.
- Why this job: Make a real impact by transforming complex data into actionable insights.
- Qualifications: Experience in data analysis and programming languages like Python or R.
The predicted salary is between 77500 - 176000 £ per year.
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.
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.
Work Model: Our people-first culture prioritises 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.
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.
Data Analyst employer: Booz Allen Hamilton
At Booz Allen, we pride ourselves on fostering a dynamic work environment that champions collaboration and innovation. As a Data Analyst supporting USAFRICOM, you will not only engage in meaningful projects that impact national security but also benefit from comprehensive health and financial packages, professional development opportunities, and a culture that values your contributions. Our commitment to employee well-being and recognition ensures that you can thrive both personally and professionally in this pivotal role.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common data analyst questions. Get comfortable explaining your past projects and how you've used tools like Python or R. The more you rehearse, the more confident you'll feel!
✨Tip Number 3
Showcase your skills with a portfolio! Create a few projects that highlight your data analysis capabilities. This could be anything from dashboards to visualisations that demonstrate your ability to turn data into insights.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Data Analyst role. Highlight your experience with data analytics, programming languages like Python or R, and any relevant projects that showcase your skills. We want to see how you fit into our mission!
Showcase Your Skills:Don’t just list your skills; demonstrate them! Include specific examples of how you've used data analysis techniques or tools in past roles. This helps us understand your practical experience and how you can contribute to our team.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We appreciate a well-structured application that gets straight to the point—this shows us you can communicate effectively!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way to ensure your application is seen by the right people. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at Booz Allen Hamilton
✨Know Your Data Tools
Make sure you’re well-versed in the programming and scripting languages mentioned in the job description, like Python, R, and Java. Brush up on your skills with big data platforms such as Databricks and Azure, as you might be asked to demonstrate your knowledge during the interview.
✨Understand the Mission
Familiarise yourself with USAFRICOM's objectives and how data analytics plays a role in supporting military operations. Being able to discuss how your analytical skills can contribute to their mission will show that you’re not just a candidate, but a potential asset.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think of examples from your past experiences where you had to clean, organise, or analyse large datasets, and be ready to explain your thought process and the impact of your work.
✨Communicate Clearly
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex data concepts in simple terms. Prepare to present your findings in a way that’s accessible to everyone, as this skill is crucial for the role.
