Tableau Production Support Analyst

Overview

On Site
Depends on Experience
Full Time

Skills

Experience with Tableau Desktop and Tableau Server administration
SQL
familiarity with Postgres and Spark environments (preferred)..

Job Details

Request you to get in touch with us at your earliest if available for the below immediate opportunity.

Please email me your resume and contact information at your earliest to further discuss the role and responsibilities.

Role - Tableau Production Support Analyst

Location - Santa Clara, CA, onsite. Interviews will be conducted in person at the client site in Santa Clara, CA

Duration - Long term.

Role Overview: The role is within the DIA (Data, Insights & Automation) track. The focus is on ensuring the stability, performance, and reliability of Tableau reporting solutions as part of a broader data ecosystem.

Key Responsibilities:

  • Provide L2/L3 production support for Tableau dashboards, workbooks, and server environments.
  • Manage incident resolution, service requests, and problem management in coordination with business users and platform teams.
  • Perform root cause analysis for issues related to performance, data discrepancies, or access.
  • Collaborate with data engineering and BI teams to ensure data availability, dashboard accuracy, and timely refreshes.
  • Participate in enhancements, version upgrades, migration support, and regression testing.
  • Monitor Tableau servers and reports using tools and SOP-based bots.
  • Identify and automate repetitive tasks through scripting, alerts, and self-service mechanisms.
  • Contribute to knowledge base documentation for faster issue resolution.

Key Skills & Technologies:

  • Experience with Tableau Desktop and Tableau Server administration.
  • Strong SQL skills.
  • Familiarity with Postgres and Spark environments (preferred).
  • Understanding of data pipelines and ETL frameworks.
  • Experience with incident management tools like ServiceNow.
  • Exposure to Hadoop (Cloudera), Databricks, or similar platforms (a plus).
  • Familiarity with low-code platforms (e.g., Mendix, Appian) and collaboration tools (e.g., BitBucket, BOBJ) is advantageous.
  • Ability to work in rotational shifts and manage time-sensitive production incidents.

Nice to Have:

  • Experience with proactive monitoring and alerting systems.
  • Ability to work with cross-functional teams across data engineering, AI/ML, and business intelligence functions.

Regards

Nirmal

Aria Consulting Services LLC

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