Data Analyst

Booz Allen Hamilton•Marine Corps Base Camp Lejeune, NC

7d•$61,900 - $141,000•Onsite

About The Position

As a client-facing Data Analyst, you will guide a small team of analysts, developers, and data consumers in a fast-paced Agile environment. You will apply machine learning and statistical modeling knowledge to lead the design, development, and deployment of predictive models for clients. Working closely with clients, you will understand their questions and challenges and architect data-driven solutions within data-rich environments. You will build models to predict future outcomes and advise clients on how to interpret and use those predictions to proactively support mission success. The role involves transforming structured and unstructured data into insights, machine learning, and artificial intelligence solutions.

Requirements

Experience developing software or data applications using Python and SQL.
Experience with data visualization techniques and tools such as Power BI or Tableau.
Experience with modern web application technologies, APIs, or full-stack development.
Experience in data validation, feature engineering, and preparing complex data sets for machine learning.
Experience with data modeling, data integration, data transformation, and analytical workflows.
Experience working directly with end users to discover requirements, validate solutions, and drive adoption.
Knowledge of statistical analysis and modeling techniques such as regression, classification, or clustering.
Secret clearance.
High school diploma or GED.

Nice To Haves

Experience with Palantir Foundry and Maven Smart System.
Experience with React, Node.js, Express, FastAPI, MongoDB, Docker, or AWS.
Experience developing custom data-driven applications or user interfaces for data input and visualization.
Experience with Agile methodologies.
Experience developing real-time or event-driven applications.
Ability to communicate technical information and recommendations to peers, engineers, and analytic customers.
TS/SCI clearance.
Bachelor's degree.

Responsibilities

Guide a small team of analysts, developers, and data consumers in an Agile environment.
Lead the design, development, and deployment of predictive models.
Work with clients to understand their questions and challenges and architect data-driven solutions.
Build models to predict future outcomes and advise clients on how predictions can support mission success.
Develop software or data applications using Python and SQL.
Use data visualization techniques and tools such as Power BI or Tableau.
Validate data, engineer features, and prepare complex data sets for machine learning.
Perform data modeling, integration, transformation, and analytical workflows.
Work directly with end users to discover requirements, validate solutions, and drive adoption.