Key Responsibilities
1. Dashboard Support & Maintenance
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Serve as the primary support contact for existing Tableau dashboards.
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Troubleshoot issues, answer user questions, and assist with navigation and usage.
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Monitor dashboards to proactively identify and resolve performance or data issues before they escalate.
2. Incident Management & Issue Resolution
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Act as the first line of defense for incoming requests and incidents.
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Triage tickets, resolve quick fixes, and escalate complex issues to appropriate team members.
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Ensure timely diagnosis and resolution of dashboard-related problems to minimize downtime.
3. Ticketing System Ownership
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Help design, implement, and manage a structured ticketing system for analytics requests.
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Create a centralized intake process for issues, enhancements, and support needs.
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Track, prioritize, and report on incoming work to ensure visibility and accountability.
4. Operational Efficiency & Continuity
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Reduce dependency on individual contributors by distributing workload effectively.
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Support continuity of operations by maintaining documentation and standard processes.
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Help prevent reactive “fire drills” by establishing proactive monitoring practices.
5. Collaboration & Enablement
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Partner with dashboard developers to reduce interruptions and protect development momentum.
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Provide guidance and basic training to users to improve dashboard adoption and self-service.
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Collaborate with data teams to ensure data quality and consistency.
Requirements
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Experience administering Tableau Server and/or Tableau Cloud environments.
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Strong troubleshooting skills with dashboards, data sources, and performance issues.
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Familiarity with ticketing systems (e.g., ServiceNow, Jira, or similar).
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Basic understanding of SQL and data structures.
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Strong communication skills with the ability to support both technical and non-technical users.
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Ability to prioritize tasks and manage multiple requests in a fast-paced environment.
Preferred Qualifications
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Experience setting up monitoring, alerts, and governance processes in Tableau.
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Exposure to data warehousing concepts and ETL processes.
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Experience building or supporting analytics workflows in a business environment.
