Air and Missile Defense Data Visualization Analyst at Booz Allen – Stuttgart | Jobyssey

Air and Missile Defense Data Visualization Analyst

The Opportunity:

As a client-facing Data Visualization Analyst on our team, you’ll work closely with our Integrated Air and Missile defense customers across the joint force, planners, analysts, and mission partners to understand their questions and needs, then dig into data-rich environments to find the pieces of their information puzzle. Not only will you provide a deeper understanding of their data, but you’ll also advise the client on what the information means and how it can be used to improve planning, assessment, partner engagement, and senior leader decision-making. Through gaining efficiency and accuracy, this position will enable leaders within the Joint Integrated Air and Missile Defense community better understand and display trends, gaps, risks, and opportunities across U.S., Allied, partner nation programs and operational activities.

How You’ll Contribute:

Use your data analytics expertise to support client and stakeholder relationships with respect to Integrated Air and Missile Defense (IAMD).
Research, develop, and test data methodologies, and generate cross-functional solutions through collection, cleaning, interpretation, evaluation, integration, and analysis of operational and assessment data.
Contribute to impactful work and guide rapid decision-making across IAMD planners, assessment analysts, operational environment analysts, and senior stakeholders.
Collaborate with Service components to institute common operational pictures to provide real-time data-driven information to enable customers to make rapid assessments and accelerate decision-making cycles.
Apply communication skills and data analytics expertise by simplifying technical requirements, data trends, and analytical findings based on audience.
Present data findings and recommendations to clients and stakeholders using your knowledge of databases, Maven, scripting languages such as SQL, Python, or R, visualization tools, and Microsoft Office Suite.
Apply data visualization through formats including, but not limited to Maven, dashboards, graphs, tables, trackers, maps, and PowerPoint.
Grow your communication and technical skills by creating data-centric solutions across the Integrated Air and Missile defense enterprise in the US European Command Area of responsibility through campaign assessments, Allied and partner nation engagements, and operational planning missions.

Work with us to drive large-scale decisions through data insights, specializing in IAMD information.

Join us. The world can’t wait.

You Have:

3+ years of experience in application development, AI and ML engineering, software engineering, or data science
3+ years of experience designing, developing, operationalizing, and maintaining complex software or machine learning applications at enterprise scale
1+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data to support machine learning workflows
1+ years of experience with building scalable data pipelines, ETL and ELT workflows, or model training and deployment pipelines
Experience creating solutions within a collaborative and cross-functional team environment
Ability to code and develop scalable solutions from scratch using languages such as Python or TypeScript
Ability to navigate ambiguity, problem-solve creatively, and operate with minimal supervision
Ability to develop scripts and programs for converting various types of data into usable formats and support project teams to scale, monitor, and operate AI/ML platforms
TS/SCI clearance
Bachelor’s degree in Computer Science, Data Science, or Mathematics and 3+ years of experience in a professional work environment, or 7+ years of experience in a professional work environment in lieu of a degree

Nice If You Have:

Experience with Palantir tools, such as Foundry
Experience with Full-Stack application development for deploying ML models
Experience with distributed data or computing tools, including Databricks
Experience working on real-time data, streaming applications, or AI model deployment
Knowledge of U.S. Joint Force Integrated Air and Missile Defense (IAMD) or Ballistic Missile Defense (BMD) combat systems, data architectures, Command and Control, and IAMD information concepts

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 $99,000.00 to $225,000.00 (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.

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