Applications Analyst

HMT Tank•The Woodlands, TX

18h•Onsite

About The Position

The Applications Analyst will be responsible for managing, supporting, and optimizing enterprise applications across the organization. This role ensures application stability, security, and performance while enabling business objectives through effective system administration and data-driven insights. Experience with a variety of business applications is valued, and familiarity with AI technologies is a plus to support future initiatives in automation and intelligent analytics.

Requirements

Bachelor’s degree in computer science, Information Systems, or related field.
2–4 years of experience in enterprise application administration and support.
Background in data analytics and reporting tools.
Familiarity with AI concepts and tools (preferred).
Relevant application or IT certifications (e.g., ITIL, Microsoft, or other enterprise platforms) are desirable.
Strong analytical and problem-solving skills.
Excellent communication and stakeholder management abilities.
Knowledge of security controls and compliance standards.
Ability to learn and adapt to new applications quickly.

Nice To Haves

Experience with AI orchestration tools, Azure AI, or similar platforms.
Familiarity with Python or scripting for automation.
Exposure to Copilot or other AI-driven productivity tools.

Responsibilities

Oversee day-to-day configuration, support, and maintenance of enterprise applications (ERP, CRM, HR, finance, and other business systems).
Ensure compliance with security policies and perform proactive system monitoring and maintenance.
Collaborate with stakeholders to gather requirements and translate them into technical solutions.
Document and maintain operational processes and procedures for application usage.
Evaluate and manage integrations between applications to improve efficiency and data flow.
Provide end-user support, troubleshooting, and issue resolution for enterprise applications.
Manage user accounts, roles, permissions, and security settings across multiple platforms.
Coordinate with vendors and third-party providers for application updates, patches, and enhancements.
Develop and maintain reports, dashboards, and data models to support business operations.
Monitor and analyze application usage and performance metrics.
Support data quality initiatives, including cleansing, deduplication, and validation.
Explore opportunities to implement AI-driven solutions for process optimization and predictive analytics.
Collaborate on proof-of-concepts and integration of AI tools with enterprise applications.
Stay informed on emerging AI technologies and recommend adoption strategies.