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# Analytics Engineer II

- **Company:** V2X Inc
- **Location:** Alafaya, FL, United States
- **Experience:** Experienced
- **Salary:** $115,000 - $125,000
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Microsoft Excel, Data Analysis, Analysis of Variance (ANOVA), Application Frameworks, Microsoft Azure, Cascading Style Sheets (CSS), Cluster Analysis, Data Infrastructure, Python (Programming Language), Machine Learning, Microsoft SQL Server, Regression Analysis, Systems Development Life Cycle, Power BI, SQL Databases, Tableau (Software), Data Processing, Scripting, Flask (Web Framework), AngularJS, Information Technology, Data Analytics
- **Published:** October 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7f278eaa3ee5ae0f

## About the Role

* Master's degree in quantitative or related discipline (e.g., Data Analytics, Statistics, Mathematics, Computer Science, Finance, Supply Chain, Industrial Engineering)., * 4+ years of experience in a data related role.
 * Experience leading development of 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.
 + Expert in Microsoft Excel.
 + PowerBI
 + Familiarity 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., + 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
 + PowerBI
 + Microsoft SQL Server
 + Microsoft Azure
 + Microsoft Excel

## Description

This role is ideal for an experienced data professional who with experience in Machine Learning and Data Science modeling. Experience should include cleaning data, building basic models, and supporting dashboards.
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., * Data Foundations & Preparation (25%)

 * Dashboards, Reporting & Automation (25%)
 * Finance Analytics Support (20%)
 * Procurement & Supply Chain Analytics Support (20%)
 * Mentoring others in Math & Data Principles