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# Finance Power BI

- **Company:** CareerCircle
- **Location:** Orlando, FL, United States
- **Experience:** Experienced
- **Salary:** $100,000.0 - $110,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Access, HTML, .NET Framework, Microsoft Excel, Artificial Intelligence, 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), Web Application Frameworks, Data Processing, Autodesk Mechanical Desktop, Flask (Web Framework), AngularJS, Information Technology, Data Analytics, Xgboost
- **Published:** October 2, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/fl/orlando/482ab054-9fdb-4e81-8bae-7f4ffba7fe2b

## About the Role

* 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.

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., + 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

## Description

Power BI, Curiosity
Dashboard
Scripting
Automation
Innovation
Statistics
Mathematics
Procurement
Forecasting
Supply Chain
Data Science
Data Analysis
Presentations
.NET Framework
Data Wrangling
Professionalism
Microsoft Excel
Microsoft Azure
Real World Data
Window Function
Computer Science
Microsoft Access
Variance Analysis
Shiny (R Package)
Gradient Boosting
Advanced Analytics
Security Clearance
Regression Analysis
Time Off Management
Cycle Time Variation
Willingness To Learn
Microsoft SQL Servers
Business Intelligence
Flask (Web Framework)
Industrial Engineering
Application Frameworks
Artificial Intelligence
Angular (Web Framework)
SQL (Programming Language)
Machine Learning Algorithms
Autodesk Mechanical Desktop
Cascading Style Sheets (CSS)
Employee Assistance Programs
Python (Programming Language)
Systems Development Life Cycle
Supplier Performance Management
HyperText Markup Language (HTML)
Tableau (Business Intelligence Software)
Hierarchical And Recursive Queries In SQL, This 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., 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%)
 * Learning & Growth into Data Science / AI, 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.
Related Jobs
Analytics Engineer
V2X

Orlando, FL*Hybrid

Finance
Power BI
Curiosity
Dashboard
Scripting
Automation
Innovation
Statistics
Mathematics
Procurement
Forecasting
Supply Chain
Data Science
Data Analysis
Presentations
.NET Framework
Data Wrangling
Professionalism
Microsoft Excel
Microsoft Azure
Real World Data
Window Function
Computer Science
Microsoft Access
Variance Analysis
Shiny (R Package)
Gradient Boosting
Advanced Analytics
Security Clearance
Regression Analysis
Time Off Management
Cycle Time Variation
Willingness To Learn
Microsoft SQL Servers
Business Intelligence
Flask (Web Framework)
Industrial Engineering
Application Frameworks
Artificial Intelligence
Angular (Web Framework)
SQL (Programming Language)
Machine Learning Algorithms
Autodesk Mechanical Desktop
Cascading Style Sheets (CSS)
Employee Assistance Programs
Python (Programming Language)
Systems Development Life Cycle
Supplier Performance Management
HyperText Markup Language (HTML)
Tableau (Business Intelligence Software)
Hierarchical And Recursive Queries In SQL
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