Global Data Solutions Analyst — Hybrid, AI & Automation

Booz Allen; McLean (VA); Hybrid; USD 87,000 - 198,000; Full time

Job summary

Booz Allen is seeking an International Data Solutions Analyst blending data science with low-code/no-code engineering to power international operations, turning complex data into clear, actionable insights and creating scalable automation using the Power Platform.

This hybrid role spans AI-driven analytics, data modeling, and automation, requires 5+ years in software and low-code development, 3+ years in data analysis, and the ability to translate technical concepts for diverse audiences; U.S.

Qualifications

• 5+ years designing, modifying, developing, and implementing software using Agile methods.
• 5+ years using low-code/no-code solutions for new or extended applications.
• 3+ years in data exploration, cleaning, analysis, visualization, or mining.
• 2+ years applying AI-powered analytics to automate workflows.
• Ability to translate technical concepts for both technical and non-technical audiences.

Responsibilities

• Design and implement scalable analytics solutions for international operations.
• Develop automation using Power Platform to enhance efficiency.
• Collaborate with stakeholders to translate needs into practical products.
• Deliver data-driven insights and predictive analytics for decision making.

Skills

5+ years software programming (Agile)

Low-code/no-code development

Data exploration/analysis

AI-powered analytics/automation

Communication of complex concepts

Public Trust

Education

Bachelor's degree or 7+ years experience in lieu of degree

Tools

Power Platform

Java

Python

JavaScript

SQL

ServiceNow

Salesforce

Pega

Appian

PowerApps

OpenText

Job description

Booz Allen is seeking an International Data Solutions Analyst blending data science with low-code/no-code engineering to power international operations, turning complex data into clear, actionable insights and creating scalable automation using the Power Platform.

This hybrid role spans AI-driven analytics, data modeling, and automation, requires 5+ years in software and low-code development, 3+ years in data analysis, and the ability to translate technical concepts for diverse audiences; U.S.