Analytics Engineer — Growth Path to Data Science (Hybrid)

V2X, Inc.

Orlando (FL)

Hybrid

USD 100,000 - 110,000

Full time

32 hours ago
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Benefits offered by this job

Healthcare coverage
Retirement plan
Paid time off

Job summary

V2X, Inc. is seeking a data‑driven professional early in their analytics career to grow into an Analytics Engineer role. You will start with data cleaning, building basic models, and supporting dashboards, while being mentored by senior team members.

The role is hybrid and requires on-site work three days per week, with responsibilities spanning Finance and Procurement / Supply Chain analytics. The ideal candidate has 3+ years in data roles, experience with SQL, Excel, Power BI, Python, and

Qualifications

  • Bachelor’s degree in a quantitative field or equivalent experience.
  • 3+ years in a data-related role or strong project portfolio.
  • Experience with regression, clustering, ML, forecasting or optimization.
  • Proficiency with SQL, Excel, PowerBI, and one scripting language (Python preferred).
  • Ability to build dashboards in BI tools (Power BI preferred).
  • Nice-to-have: SDLC familiarity; knowledge of .NET, Angular, HTML/CSS; Flask or Shiny.

Responsibilities

  • Build and maintain data assets supporting Finance and Procurement / Supply Chain.
  • Develop dashboards and automate reporting; support analytics for finance health.
  • Grow into advanced analytics, forecasting, and predictive modeling.
  • Work on-site three days per week as part of a hybrid arrangement.

Skills

SQL
Excel
PowerBI
Python
Microsoft SQL Server
Azure
Tableau
.NET
Angular
HTML/CSS
Flask/Shiny (Python)

Education

Bachelor’s degree in quantitative or related discipline

Tools

PowerBI
Tableau
Microsoft SQL Server
Microsoft Azure

Job description

V2X, Inc. is seeking a data‑driven professional early in their analytics career to grow into an Analytics Engineer role. You will start with data cleaning, building basic models, and supporting dashboards, while being mentored by senior team members.

The role is hybrid and requires on-site work three days per week, with responsibilities spanning Finance and Procurement / Supply Chain analytics. The ideal candidate has 3+ years in data roles, experience with SQL, Excel, Power BI, Python, and

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