Client-Facing Predictive Analytics Data Analyst

Booz Allen; Jacksonville (NC); On-site; USD 62,000 - 141,000; Full time

Benefits offered by this job

Health benefits

Tuition assistance

Paid leave

Work-life programs

Job summary

Booz Allen is seeking a Data Analyst to transform large data sets into predictive models and AI solutions for clients. You will lead a small team of analysts, developers, and data consumers in an Agile setting, guiding data-driven decisions and client outcomes.

You will work with stakeholders to translate questions into actionable analytics and promote adoption of data solutions. The role emphasizes building and deploying models, communicating results, and iterating with clients to ensure value

Qualifications

• Experience developing software or data applications using Python and SQL.
• Experience with data visualization 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
• HS diploma or GED

Responsibilities

• Lead a small team of analysts, developers, and data consumers in a fast-paced, Agile environment.
• Design, develop, and deploy predictive models for clients and guide their deployment.
• Advise clients on interpretation of predictions and how to use them to shape mission outcomes.

Job description

Booz Allen is seeking a Data Analyst to transform large data sets into predictive models and AI solutions for clients. You will lead a small team of analysts, developers, and data consumers in an Agile setting, guiding data-driven decisions and client outcomes.

You will work with stakeholders to translate questions into actionable analytics and promote adoption of data solutions. The role emphasizes building and deploying models, communicating results, and iterating with clients to ensure value