Analytics Engineer

Socket.dev; Orlando (FL); Hybrid; USD 100,000 - 110,000; Full time

Benefits offered by this job

Healthcare coverage

Retirement plan

Wellness programs

Paid time off

Job summary

V2X in Orlando is seeking an entry‑level analytics engineer to grow into advanced analytics, starting with data cleaning, basic modeling, and dashboard support.

Hybrid role with three on‑site days weekly; you will be mentored by senior staff and exposed to forecasting, optimization, and AI within Finance and Procurement analytics.

Strong grounding in SQL, Python, Power BI, and Excel is required, with willingness to learn new tools and follow SDLC practices.

Qualifications

• Bachelor’s degree or equivalent hands‑on experience in a quantitative field.
• At least 3 years of experience in a data related role or strong project portfolio.
• Experience with regression, clustering/classification, ML, forecasting or optimization projects; strong SQL/Excel/Power BI/Python skills.

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.

Skills

Python

PowerBI

Microsoft SQL Server

Microsoft Azure

Microsoft Excel

Education

Bachelor’s degree in quantitative or related discipline

Tools

Power BI

Microsoft SQL Server

Microsoft Azure

Job description

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 Do

This role is ideal for ahigh‑potential, early‑career data professionalwho wants to grow into anAnalytics 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 supportFinance(forecasting, variance analysis, program financial health) andProcurement / 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.).
  • 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.
• 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
  • PowerBI
  • Microsoft 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.

Employee benefits include the following:

• • Healthcare coverage
  • Life insurance, AD&D, and disability benefits
  • Retirement plan
  • Wellness programs
  • Paid time off, including holidays
  • Learning and Development resources
  • Employee assistance resources
  • The following salary range is intended to display the value of the company's base pay compensation and may be modified at the discretion of the company. USD $100,000.00 – $110,000.00
  • Pay and benefits are subject to change at any time and may be modified at the discretion of the company, consistent with the terms of any applicable compensation or benefit plans.

At V2X, we are deeply committed to both equal employment opportunity, including protection for Veterans and individuals with disabilities, and fostering an inclusive and diverse workplace. We ensure all individuals are treated with fairness, respect, and dignity, recognizing the strength that comes from a workforce rich in diverse experiences, perspectives, and skills. This commitment, aligned with our core Vision and Values of Integrity, Respect, and Responsibility, allows us to leverage differences, encourage innovation, and expand our success in the global marketplace, ultimately enabling us to best serve our clients.