Data Analyst

Booz Allen Hamilton • McLean, VA

12h

About The Position

As a Data Analyst at Booz Allen, you will analyze complex structured and unstructured data to help solve challenges across public and private sectors. You will work closely with clients to understand their questions and needs, explore 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 applications ranging from fraud detection and cancer research to 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 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 data-rich environments to find relevant information and insights.
• Use tools and frameworks to turn disparate data points into objective answers for client decision-making.
• Guide teammates and lead the development of algorithms and systems.
• Develop data solutions using data cleansing, analytics, inferential statistics, visualization, and system integration.
• Communicate key insights through visualizations, dashboards, or lightweight web applications.
• Apply supervised and unsupervised machine learning algorithms to structured and unstructured data sets.

Benefits

• Health, life, and disability benefits.
• Financial and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards program.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level