Data Analyst

Booz Allen Hamilton • McLean, VA

1d • $62,000 - $141,000 • Onsite

About The Position

As a Data Analyst at Booz Allen, you will analyze complex structured and unstructured data to help solve challenges across private and public sectors. You will work closely with clients to understand their questions and needs, examine data-rich environments, and turn disparate data into useful information that supports informed decisions. You will use data science expertise and appropriate tools and frameworks to develop algorithms and systems, guide teammates, and communicate what data means and how it can be used. The role is based in McLean, Virginia, and is not listed as remote.

Requirements

• At least 1 year of experience using R and SQL to manipulate and analyze data.
• Experience with data cleansing, data analytics, inferential statistics, data visualization, and system integration to provide data solutions.
• Experience developing data visualizations, dashboards, or lightweight web applications to communicate key insights.
• Knowledge of research design principles.
• Knowledge of analytic methods and methodological tools used in applied mathematics, computer programming, or data visualization.
• Ability to apply supervised and unsupervised machine learning algorithms to structured and unstructured data sets.
• TS/SCI clearance with a polygraph.
• Bachelor’s degree.

Nice To Haves

• Experience with project management, project planning, and technical documentation.
• Experience with Python.
• Knowledge of data strategy and data governance.
• Ability to advise clients on data acquisition, data management, and data infrastructure.
• Ability to execute projects and tasks with minimal guidance and supervision.

Responsibilities

• Work with clients to understand their questions and data needs.
• Analyze complex, structured and unstructured data to find useful information and answers.
• Develop algorithms and systems and guide teammates in their development.
• Use tools and frameworks to transform disparate data into objective insights for client decision-making.
• Communicate findings through data visualizations, dashboards, or lightweight web applications.
• Apply data science to challenges in private and public sectors.

Benefits

• Health, life, and disability benefits.
• Financial and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time