Automation Analyst
Job in
Northern, Floyd County, Kentucky, USA
Listed on 2026-10-13
Listing for:
Zachary Piper Solutions
Full Time
position Listed on 2026-10-13
Job specializations:
-
IT/Tech
AI Business & Operations, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Zachary Piper Solutions is seeking an Automation Analyst to support a long-term DOD program focused on automation, process improvement, systems integration, and operational efficiency across a large-scale enterprise environment. This position is 100% onsite in Norfolk, VA and will support the U.S. Navy in identifying, designing, implementing, and maintaining automation solutions that improve service delivery, data quality, reliability, and operational performance.
The Automation Analyst will partner with technical teams and business stakeholders to identify manual and repetitive processes, translate requirements into automation use cases, and develop, test, deploy, and support automated workflows. The ideal candidate will have hands-on experience with Power Shell and/or Python, workflow automation, APIs, configuration management, CI/CD, and enterprise systems integration. Experience with Microsoft Power Automate, UiPath, Ansible, Jenkins, Git/Bitbucket, Azure, Splunk, Power BI, and AI/LLM technologies is highly desirable.
Responsibilitiesof the Automation Analyst include:
- Analyze business and technical processes to identify opportunities for automation, optimization, and operational improvement
- Evaluate manual and repetitive processes based on business value, technical feasibility, risk, repeatability, and potential efficiency gains
- Document current-state and future-state workflows, process maps, business rules, dependencies, and automation requirements
- Partner with technical teams, business stakeholders, infrastructure teams, cybersecurity teams, application teams, data teams, and operations personnel to define automation requirements
- Gather and translate stakeholder requirements into automation use cases, functional requirements, acceptance criteria, process documentation, and implementation plans
- Design, develop, test, deploy, and maintain enterprise automation solutions
- Develop automation using Power Shell, Python, Microsoft Power Automate, UiPath, REST APIs, and comparable workflow and orchestration technologies
- Develop scripts and automated workflows to reduce manual operational tasks and improve service delivery
- Read, modify, troubleshoot, test, and maintain existing automation scripts and workflows
- Develop reusable automation components, scripts, functions, workflows, and integrations
- Integrate automation with enterprise applications, data sources, ticketing systems, cloud services, monitoring platforms, and APIs
- Develop secure API-driven integrations using REST APIs, JSON, authentication mechanisms, structured data formats, and appropriate error handling
- Implement appropriate logging, exception handling, alerting, retry mechanisms, and automated recovery processes
- Support configuration-management and CI/CD practices using Ansible, Jenkins, Bitbucket, Git, Azure Dev Ops, or comparable technologies
- Utilize source control and version-management practices to maintain automation code, workflows, configuration files, and documentation
- Support automated testing, deployment, validation, and change traceability for automation solutions
- Monitor automation performance, utilization, failures, reliability, and realized business benefits
- Troubleshoot automation failures and defects and perform root-cause analysis to identify underlying technical issues
- Implement improvements to increase automation reliability, scalability, efficiency, and user adoption
- Develop metrics, dashboards, and reporting to measure automation performance and operational improvements
- Support operational analytics using tools such as Power BI and Splunk
- Develop and maintain technical documentation, Standard Operating Procedures (SOPs), solution diagrams, test evidence, runbooks, automation inventories, and operational procedures
- Maintain documentation throughout the automation lifecycle, including requirements, design, testing, deployment, maintenance, and retirement
- Leverage approved Artificial Intelligence (AI) and Large Language Model (LLM) capabilities for appropriate automation use cases
- Support AI-enabled use cases including information extraction, classification, summarization, workflow assistance, decision support, and intelligent process automation
- Develop and utilize effective prompts, structured outputs, validation processes, and human-in-the-loop review for AI-enabled workflows
- Ensure AI-enabled automation follows applicable security, privacy, access-control, data-handling, and responsible-AI requirements
- Integrate approved AI/LLM services into automated workflows…
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