Data Analyst

Booz Allen Hamilton•Norfolk, VA

14h•$61,900 - $141,000•Remote

About The Position

The proliferation of technology like IoT, machine learning, and artificial intelligence means that critical data is often locked away in complex, siloed systems. As a Data Scientist, you know that the real challenge isn't just organizing data, but transforming it into a dynamic, interactive foundation for decision-making. We need a versatile problem-solver like you to help build end-to-end solutions with platforms such as Palantir Foundry, Databricks, and AWS, enabling our clients to tackle missions from fraud detection to cancer research. As a Data Scientist, you will be a key contributor to the technical solution. This role offers a unique opportunity to grow your skills across data engineering, data science, and front-end development. Working under the guidance of senior engineers, you’ll help develop and deploy the data pipelines that organize and make disparate data meaningful. You will collaborate with your team and end-users to understand their requirements, then use that insight to help implement the data ontology, support analyses, and configure user-facing applications and workflows. Your goal is to be a vital part of the team closing the gap between raw data and operational impact. You will be embedded with clients, working in a fast-paced, agile environment where you take on increasing responsibility for key components of the solution. You'll learn to move fluidly between writing data transformations, exploring data for key insights, and configuring front-end modules to deliver a seamless user experience. You'll quickly develop a strong understanding of the client's mission as you help your team turn their most complex data challenges into intuitive, powerful software solutions. Work with us as we use data science for good. Join us. The world can’t wait.

Requirements

3+ years of experience in a professional work environment
3+ years of experience with data analytics and data visualization tools, including Tableau, QlikSense, or Microsoft Power BI
Experience with color theory, typography, data-ink ratio, or Gestalt Principles
Experience with management advising techniques, including client interviews, data gathering, and problem-solving
Experience with scripting languages, including SQL or Python
Experience with briefing techniques, methods, and findings to senior personnel and leadership
Knowledge of Relational Database Management Systems (RDBMS)
Knowledge of Extract, Transform, and Load (ETL) processes using tools, including Databricks
Knowledge of operations research techniques, including probability and statistical methods
Secret clearance
Bachelor's degree

Nice To Haves

3+ years of experience with capturing user requirements
3+ years of experience with the design, development, and visualization of scientific methods and techniques, including mathematical, statistical, or econometric
Bachelor’s degree in Economics, Operations Research, Management Science, Mathematics, Statistics, or a Data Science related field

Responsibilities

Help develop and deploy data pipelines that organize and make disparate data meaningful.
Collaborate with team and end-users to understand requirements.
Implement data ontology, support analyses, and configure user-facing applications and workflows.
Write data transformations.
Explore data for key insights.
Configure front-end modules to deliver a seamless user experience.