Job Requirements
Job Description
Power Platform Analytics Engineer
Location: Remote
Required Clearance: Secret
Since 1999, ITEC has delivered mission-critical support to the DoD and Intelligence Community. Now part of ManpowerGroup Public Sector (MGPS), we continue that work with expanded capabilities. Employees hired through this process will join MGPS and receive a comprehensive benefits package and competitive pay
U.S. Citizenship Mandatory: Due to our US federal government contract, candidates for this position are required to be a US Citizen and will be subject to a background investigation.
Job Description:
We are seeking a technically skilled Analytics Engineer to support the CFIUS Analytics team. This role is a blend of data analysis and software engineering, focused on implementing and maintaining data solutions. Working alongside the project app architect, you will assist with building the technical components of our analytics platform, from the database to the front-end.
The ideal candidate is a hands-on Microsoft Power Platform developer with a strong interest in data, analytics, and business intelligence.
Job Responsibilities:
- Support the development and maintenance of database solutions and application components based on provided designs.
- Assist with the implementation of internal APIs and ETL processes using tools like Power Automate, Python, and Azure Data Factory.
- Help manage integrations with external APIs and configure data security measures under senior guidance.
- Develop, maintain, and enhance interactive dashboards and reports using Power BI.
- Occasionally contribute to front-end application development using JavaScript/TypeScript and React.
- Assist in applying analytics and AI functionalities using AI Builder, Azure OpenAI, and Azure AI Search.
- Support the team’s DevOps process by helping to manage and execute deployment pipelines in Azure DevOps.
- Prepare and maintain technical documentation for all implemented solutions.
Required Skills:
- Core Knowledge: A solid understanding of the data science toolkit, including the difference between prediction and inference, various modeling techniques, and their tradeoffs. Familiarity with generative AI concepts and their practical application.
- Proficient with Power BI for creating, publishing, and maintaining complex reports and data models.
- Backend & Data Integration
- Dataverse
- Power Automate
- Python (for scripting and testing)
- Azure Data Factory
- Front-End Development
- JavaScript / TypeScript (Nice to have)
- React (Nice to have)
- Data Security
- Familiarity with concepts like Security Roles (data access), OAuth (external API), and Entra ID (tool connections).
- Analytics / AI
- Experience with or exposure to AI Builder, Azure OpenAI, and Azure AI Search.
- DevOps
- Experience with CI/CD pipelines in Azure DevOps.
