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Vacancy description

Atlassian Systems Analyst in भारत

Jobgether

  • RemoteWork from anywhere
  • Full-timeStandard weekly hours
  • ContractFixed-term or freelance

भारत

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Atlassian Systems Analyst based in India. We are seeking a detail-oriented Atlassian Systems Analyst to manage, optimize, and support Jira and related SaaS applications in a fully remote environment. In this contract role, you will be responsible for system administration, workflow configuration, integrations, and data migration to ensure reliable and efficient business operations. You will collaborate with business users, technical teams, vendors, and project stakeholders to translate complex requirements into practical system solutions. Your work will involve troubleshooting APIs, validating data, managing user access, and improving workflows through automation and modern analytical tools. You will also leverage approved AI-enabled technologies to streamline documentation, testing, and problem-solving while maintaining strong data governance practices. This opportunity is ideal for a systems professional who thrives in dynamic environments, enjoys solving technical challenges, and can balance competing priorities with precision. Accountabilities: - Administer, configure, and optimize Atlassian Jira and related SaaS applications to support business processes and operational requirements. - Configure and maintain Jira workflows, permissions, custom fields, automations, user access, and application settings. - Manage SaaS integrations and license administration, ensuring systems remain reliable, secure, and aligned with organizational needs. - Gather, analyze, and clarify business and technical requirements, particularly when initial requests are ambiguous or incomplete. - Identify dependencies, risks, and potential implementation challenges, recommending solutions to minimize disruptions and improve system performance. - Coordinate data migration activities, including data mapping, cleansing, transformation, reconciliation, and validation between systems.

- Use Excel, Airtable, SQL, reporting platforms, and basic scripting to investigate datasets, identify inconsistencies, and support data quality initiatives. - Troubleshoot REST API and integration issues involving JSON, authentication mechanisms, and communication between connected applications. - Support system testing, data validation, issue resolution, and implementation activities to ensure configurations and integrations perform as expected. - Develop and maintain technical and functional documentation covering system configurations, workflows, integrations, migration procedures, and troubleshooting guidance. - Apply approved AI-enabled tools to accelerate documentation, data analysis, test-case creation, troubleshooting, and workflow automation. - Review and validate AI-generated outputs for accuracy, reliability, security, and compliance with applicable data-handling and governance requirements. - Collaborate with cross-functional teams, business users, technical stakeholders, and external vendors to resolve issues and continuously improve systems. - Adapt to evolving priorities while maintaining clear communication, organized documentation, and consistent delivery of high-quality work. Requirements: - Experience administering Atlassian Jira or comparable SaaS applications, including system configuration, maintenance, and operational support. - Practical knowledge of Jira workflows, permissions, custom fields, user access management, and automation capabilities. - Familiarity with SaaS integrations, application administration, and license management. - Understanding of REST APIs, JSON, authentication methods, and integration troubleshooting. - Experience supporting data migration processes, including data mapping, cleansing, reconciliation, and validation across systems. - Strong proficiency in Excel and/or Airtable, with the ability to analyze structured and tabular datasets effectively.

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