Analytics Engineer

Overview Working across the globe, V2X builds smart solutions designed to integrate physical and digital infrastructure from base to battlefield. We bring 120 years of successful mission support to improve security, streamline logistics, and enhance readiness. Aligned around a shared purpose, our $3.9B company and 16,000 people work alongside our clients, here and abroad, to tackle their most complex challenges with integrity, respect, responsibility, and professionalism.

What You’ll DoThis role is ideal for a high‑potential, early‑career data professional who wants to grow into an Analytics Engineer role. You will start with foundational analytics work—cleaning data, building basic models, and supporting dashboards—while being mentored by senior team members.

This is a hybrid position that requires the employee to work on-site three days per week.

Responsibilities You’ll help build and maintain data assets that support Finance (forecasting, variance analysis, program financial health) and Procurement / Supply Chain (cycle time, supplier performance, inventory and readiness). Over time, you’ll be exposed to increasingly complex modeling (forecasting, optimization, risk scoring) and modern data practices.

Key Responsibilities:

Data Foundations & Preparation (25%)Dashboards, Reporting & Automation (25%)Finance Analytics Support (20%)Procurement & Supply Chain Analytics Support (20%)Learning & Growth into Data Science / AI Qualifications

Minimum Qualifications

Education:

Equivalent experience from which comparable knowledge and job skills can be obtained may be substituted for education, if degree is required.

Bachelor’s degree in quantitative or related discipline (e.g., Data Analytics, Statistics, Mathematics, Computer Science, Finance, Supply Chain, Industrial Engineering) or equivalent hands-on experience.

Experience:

At least 3 years of experience in a data related role or strong portfolio of projects.

Experience with (some or all) regression analysis, Clustering/Classification models, ML algorithms, and Gradient Boosted Tree models or any forecasting or optimization projects.

Ability to demonstrate proficiency in:

SQL for queries, joins, common table expressions and window functions.

Microsoft Excel for basic analysis (lookup functions, pivots, etc.).Power BIFamiliarity with at least one analytical or scripting language (Python preferred) for data wrangling and EDA.Ability to build basic dashboards or reports in a BI tool (e.g., Power BI(preferred), Tableau, or similar).Familiarity with the SDLC is a nice-to-have.

Knowledge of .NET, Angular, HTML/CSS are nice-to-have.

Experience with application frameworks such as Flask or Shiny for Python are nice-to-have.

Clearance:

Must possess or be able to obtain and maintain a Common Access Card (CAC) through the National Agency Check and Inquiries (NACI) process.

U.S. Citizenship required for security clearance eligibility.

Other Requirements:

Demonstrated curiosity and desire to learn advanced analytics, data science, or AI techniques.

Strong analytical mindset.

Comfortable working with messy, real-world data.

Able to interpret trends and communicate findings clearly in writing and presentations.

Skills and Technology Used:

Python

Power BIMicrosoft SQL Server Microsoft Azure Microsoft Excel What We Bring At V2X we strive to be market competitive in our total reward offerings.

The successful candidate’s starting pay will be based on, but not limited to, their job-related skills, experience, qualifications, work location, and market conditions.

Please speak with a recruiter for additional information

Employee benefits include the following:

Healthcare coverage

Life insurance, AD&D, and disability benefits

Retirement plan Wellness programs

Paid time off, including holidays

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