Booz Allen

DataAnalyst

$62–62k Norfolk, Virginia, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Analyst at Booz Allen. Skills: Data engineering, Data science, Front-end development. Build end-to-end solutions. Develop and deploy data pipelines”

What You'll Achieve.

Transforming data into a dynamic, interactive foundation for decision-making; Closing the gap between raw data and operational impact

Industry & Context.

Problems you'll solve

Problem-solver

Eligibility Requirements

Secret clearance

What They're Looking For.

Must Have

3+ years of experience, 3+ years of experience with data analytics and data visualization tools, Experience with scripting languages, Knowledge of Relational Database Management Systems, Knowledge of ETL processes, Knowledge of operations research techniques, Secret clearance, Bachelor's degree

Nice to Have

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

What You'll Do.

Build end-to-end solutions

Develop and deploy data pipelines

Organize and make disparate data meaningful

Collaborate with team and end-users

Understand requirements

Implement data ontology

Configure user-facing applications and workflows

Turn complex data challenges into software solutions

Write data transformations

Explore data for key insights

Configure front-end modules

How You'll Work.

Team & Collaboration

Work with clients; Agile environment

Communication Scope

Briefing techniques

Process & Methodology

Agile

Full Job Description

Data Analyst **The Opportunity****:** 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. **You Have:** * 3+ years of experience in a professional work environment * 3+ years of experience with data analytics and data visualization tools, including Tablea

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