Senior Data Analyst - Insights & ML Solutions

Booz Allen Hamilton; North Dakota; On-site; USD 99,000 - 225,000; Full time

Benefits offered by this job

Health benefits

Paid leave

Tuition assistance

Professional development

Work-life programs

Retirement benefits

Job summary

Booz Allen Hamilton seeks a data analyst to unlock insights from large data sets, including IoT, ML, and AI-driven projects. You will work with clients to define questions, then explore data-rich environments to extract answers and deliver data-driven recommendations.

Responsibilities include leading algorithms and systems development, and guiding teammates to produce actionable insights through dashboards and lightweight web apps. TS/SCI clearance is required.

Qualifications

• 3+ years of experience using programming languages to manipulate and analyze data, including Python, R, and SQL.
• 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 on structured and unstructured datasets.
• Clearance: TS/SCI with polygraph (required).

Responsibilities

• Collaborate with clients to understand questions and translate them into data-driven analyses.
• Develop algorithms and systems to turn data into actionable insights.
• Guide teammates and lead data science projects from design to deployment.
• Communicate findings through dashboards and lightweight web applications.

Skills

Python

R

SQL

Education

Bachelor’s degree

Tools

Python

R

SQL

Job description

Booz Allen Hamilton seeks a data analyst to unlock insights from large data sets, including IoT, ML, and AI-driven projects. You will work with clients to define questions, then explore data-rich environments to extract answers and deliver data-driven recommendations.

Responsibilities include leading algorithms and systems development, and guiding teammates to produce actionable insights through dashboards and lightweight web apps. TS/SCI clearance is required.