Data Analyst

Booz Allen Hamilton•McLean, VA
•$62,000 - $141,000

About The Position

As a Data Analyst at Booz Allen, you will analyze complex structured and unstructured datasets to help solve challenges across public and private sectors. You will work with clients to understand their questions and needs, investigate data-rich environments, and turn disparate data into objective insights that support informed decisions. You will use data science tools and frameworks, guide teammates, and lead the development of algorithms and systems. The work may involve data applications such as fraud detection, cancer research, and national intelligence.

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 datasets.
  • Active TS/SCI clearance with a polygraph is required.
  • 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, data-rich environments and identify useful information in datasets.
  • Use tools and frameworks to transform disparate data into objective insights for client decision-making.
  • Guide teammates and lead the development of algorithms and systems.
  • Apply data science to challenges across public and private 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.
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