Systems Analyst- Only Local to Austin- "Onsite"

Core Responsibilities Work Power Platform service requests. Assist businesses units with environment setup, troubleshooting, recommendations, etc. Gather and document solution requirements from business stakeholders. Develop proof-of-concepts and transition successful prototypes into production systems. Design and implement pipelines for Power Platforms applications. Coach business personnel on the basics of Power Platform. Write clean, efficient software code and scripts for workflows. Conduct rigorous testing and quality assurance. Ensure compliance with organizational IT governance, security, and audit standards.

Stakeholder Engagement & Communication** Act as liaison between the Information Technology Division, business stakeholders, and application developers. Facilitate requirements gathering and ensure clarity in solution design. Communicate progress, risks, and issues to project sponsors and leadership teams.

Delivery Excellence & Governance Ensure development projects comply with Company’s IT governance, security, and audit requirements. Promote reusable components and standardized AI development practices. Conduct post-implementation reviews to capture lessons learned and improve delivery methods.

Team Coordination & Support Collaborate with developer, cloud architects, business analysts, and infrastructure teams. Provide guidance, best practices and assist in troubleshooting.

Degree in Computer Science or related field with studies in software design, programming languages, cloud computing, database management, and advance data structures Python - comfortable writing and debugging Python code, developed through coursework, internships, or personal projects Development languages - comfortable with React, Typescript, C#, or Java developed through coursework, internships, or personal projects Version Control - Experience using Git/GitHub for collaborative development Databases - Working knowledge of SQL Communication & Problem-Solving - Strong analytical skills and a demonstrated willingness to learn production engineering practices (Docker, CI/CD, cloud deployment) on the job ge sharing and continuous improvement within the team