Data Analyst, Mid Jobs

Job Number: R0176543

Data Analyst, Mid

Key Role:

Identify and collect data sources, analyze and extract key data and information, and evaluate and monitor data quality to meet the organization's information system needs and requirements. Apply specific functional, working, and general industry knowledge. Develop or contribute to solutions for a variety of problems of moderate scope and complexity. Work independently with some guidance and review or guide the activities of junior employees.

Basic Qualifications:

• Bachelor's degree
• 3+ years of experience with data analysis
• Experience with working in Agile environments
• Knowledge of business requirements
• Experience with data querying, data mapping, and transformation analysis
• Ability to document source-to-target mappings, data dictionaries, and general documentation
• Ability to be a strategic thinker who understands data implications across the enterprise ecosystem
• Ability to obtain a security clearance
• 2+ years of experience with reading and comprehending conceptual, logical, and physical data models
• 2+ years of experience with SQL, relational, and dimensional databases

Additional Qualifications:

• Experience with AWS, including products related to analytics, computing, databases, developer tools, and machine learning
• Knowledge of data standardization policies and standards sufficient to develop data management tools, including data dictionaries, data models, and metadata repositories
• Experience with business intelligence and dashboarding tools
• Experience in developing software code with object-oriented programing languages, including Java, C++, or C#, or Java and scripting languages, including Python, R, Bash, Batch, and PowerShell
• Experience in working with data science and BI teams
• Knowledge of the real-world advantages and drawbacks of supervised and unsupervised machine learning
• Experience with implementing a variety of supervised and unsupervised machine learning techniques, including clustering, decision tree learning, and artificial neural networks
• Experience with developing solutions involving unstructured data
• Possession of excellent verbal and written communication skills in documentation and focused on accuracy, consistency, and standardized terminology

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 $58,400.00 to $133,000.00 (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.

Work Model

Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.
• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.

EEO Commitment

We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.