Logistics Data Analyst

The Opportunity:

The Data Analyst will work with a team to provide high-quality service to our customers in managing a portfolio of systems. This role is responsible for executing data management activities in data quality and data asset management. This position is a collaborative role that provides support for analysis and research into data structures, attribution, maintenance, and models to ensure alignment with the organization’s strategic data management direction. The Data Analyst is also responsible for maintaining the visibility and integrity of the portfolio’s data asset inventory by identifying and closing information gaps.

The Data Analyst will work within an agile team to provide high-quality service to customers by applying analytical techniques to determine solutions based on client requirements within an IT services or solutions scope. The role involves analyzing and reverse-engineering business and technical artifacts to capture, store, and maintain metadata for systems within the portfolio. The Data Analyst may also develop and maintain data quality assessments and data profiles, and will work closely with functional and technical data stewards to present findings and recommendations.

What You'll Do:

• Analyze operational activities to obtain a quantitative, rational basis for decision-making and resource allocation.
• Conceptually understand and convey complex topics related to data management, data governance, and data maturity to stakeholders and leadership.
• Work with subject matter experts (SMEs) across organizations to collect and update business and technical metadata.
• Reverse-engineer data models and other design or build artifacts to extract relevant business and technical metadata, and load into a metadata repository.
• Review submitted data to detect data quality problems and anomalies, and assist with correcting current and historical data.
• Perform analysis to determine how data can best be applied to benefit stakeholders.
• Develop ETL routines to load and curate disparate data sets.
• Analyze and reverse-engineer business and technical artifacts, including data models, data catalogs, design documentation, and interfaces.
• Collaborate with functional and technical data stewards to present findings and provide recommendations.
• Perform data quality assessments and develop data profiles to improve the integrity of enterprise data.

Join us. The world can’t wait.

You Have:

• 5+ years of experience with data analysis, ETL development, metadata management, and improving enterprise-level data infrastructures
• 5+ years of experience performing tasks such as SQL data analysis, data profiling, and reverse-engineering data artifacts, and collaborating with cross-functional teams on data governance
• Experience with ETL or data movement software such as StreamSets, Databricks, or Jupyter Notebooks
• Experience using SQL for data analysis, data quality, and data profiling activities, leading small teams of personnel to accomplish objectives, and optimizing ETL performance for enterprise data systems
• Experience with a scripting language for automating data tasks
• Experience creating data mapping documentation for databases, interfaces, and applications
• Experience with Agile development environments and roles within Agile teams
• Knowledge of working with large data sets in enterprise-level data warehousing or data lake environments
• Ability to obtain a Secret clearance
• Bachelor’s degree in a CS field

Nice If You Have:

• Experience with Air Force logistics systems and data
• Experience with Python for data manipulation and scripting
• Experience in information management, including data design, data transformation, data governance, or other DAMA DMBOK-aligned practices
• Experience in logical data modeling and applying data normalization techniques
• Experience with data collection systems, strategies, and tools
• Knowledge of requirements elicitation techniques in IT projects
• Ability to interpret data, conduct statistical analysis, and provide actionable insights
• Ability to demonstrate a logical, analytical mindset and communicate complex ideas effectively, both in writing and via diagrams
• Possession of strong written and verbal communication skills

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

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 $61,900.00 to $141,000.00 (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.