Data Analyst

Booz Allen Hamilton•Washington, DC

1d•$77,600 - $176,000•Remote

About The Position

As a data analyst, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you understand the importance of transforming complex data sets into useful information to solve challenges. As a data analyst at Booz Allen, you can use your skills and experience to support a mission and use data for good. We need a data expert like you to bring your expertise to empower our clients. As a client-facing data analyst on our National Security team, you’ll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. Not only will you provide a deep understanding of their data, you’ll also advise your client on what the information means and how it can be used to make an impact on their workforce. Work with us to drive large-scale business and process decisions through data insights.

Requirements

10+ years of experience working in data analysis
Experience with Python, including building user interfaces
Experience with mathematics and statistics, including probability, regression analysis, and hypothesis testing to create and validate data models
Experience with data wrangling and preprocessing, including techniques to clean, organize, and transform raw data into usable formats using tools such as Pandas and ETL processes
Experience with data visualization, including Tableau and Matplotlib to create compelling visual representations of data
Experience with protected data such as PII and use of ethical AI practices
Knowledge of the military and Intelligence Community
Ability to present findings effectively and collaborate with cross-functional teams
TS/SCI clearance with a polygraph
Bachelor’s degree

Nice To Haves

Experience with R
Experience with SQL
Experience with HR data and training development
Possession of excellent communication skills

Responsibilities

Use your data analytics expertise to support client and stakeholder relationships.
Research, develop, and test data methodologies and generate cross-functional solutions of large data sets.
Contribute to impactful work and guide decision-making across multiple organizations.
Apply your skills and data analytics expertise by simplifying technical requirements and trends, based on audience.
Present data findings and recommendations to clients and stakeholders using your knowledge of databases, scripting languages such as Python, R, SQL, or Tableau, and Microsoft Office suite.
Establish quantitative and qualitative metrics and key performance indicators to drive technical outcomes.
Apply data visualization through different formats such as graphs, tables, or PowerPoint slides.
Grow your communication and technical skills by creating data-centric solutions.