Atlassian Systems Analyst
Confirmed on the employer's own hiring board on Oct 10, 2026. First seen by Alion on Oct 8, 2026.
This is a remote position.
Job Description:
We are seeking an experienced Atlassian Systems Analyst to support the administration, configuration, integration, data migration, and ongoing optimization of Jira and related SaaS platforms. The successful candidate will work closely with business users, technical teams, vendors, and project stakeholders to analyze ambiguous requirements, identify dependencies and risks, configure system workflows, permissions, fields, automations, integrations, and user access, and ensure effective system performance. The role will involve mapping, cleansing, migrating, reconciling, and validating data between systems using tools such as Excel, Airtable, SQL, reporting platforms, and basic scripting. The candidate will also troubleshoot REST API and integration issues involving JSON and authentication, support testing and data validation, and maintain detailed technical and functional documentation. Experience using approved AI-enabled tools to accelerate documentation, data analysis, test-case development, troubleshooting, and workflow automation is preferred, with the ability to validate AI-generated outputs and follow applicable data-handling and governance requirements. A Bachelor's degree in Computer Science, Information Systems, or a related technical field is preferred, along with relevant experience in SaaS administration, systems support, integrations, or data migration.
Requirements
- Atlassian Jira / SaaS Application Administration
- Jira workflows, permissions, user access, custom fields, and automations
- SaaS integrations and license management
- REST APIs, JSON, authentication, and integration troubleshooting
- Data migration, data mapping, cleansing, reconciliation, and validation
- Advanced Excel / Airtable and tabular data analysis
- SQL and basic scripting for data investigation and troubleshooting
- Requirements analysis and analytical problem-solving
- System configuration, testing, and issue resolution
- Cross-functional communication and technical documentation
- AI-enabled tools for documentation, data analysis, testing, and workflow automation
- Data governance and validation of AI-generated outputs
- Dependency, risk, and issue identification
- Experience working with ambiguous requirements and changing priorities