drjobs Tableau Production Support Analyst

Tableau Production Support Analyst

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1 Vacancy
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Job Location drjobs

Santa Clara - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Tittle : Tableau Production Support Analyst

Location: Santa Clara CA (Onsite)-Locals only

Job Description

We are seeking a skilled and proactive Tableau Production Support Analyst to join the DIA (Data Insights & Automation) track supporting enterprise-wide data and analytics platforms. This role focuses on ensuring stability performance and reliability of Tableau reporting solutions within a broader ecosystem of modern data technologies.

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 recurring 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 minor enhancements version upgrades migration support and regression testing.
  • Monitor Tableau servers and reports proactively using tools and SOP-based bots.
  • Identify and automate repetitive tasks through scripting alerts and self-service mechanisms.
  • Document knowledge articles and contribute to the knowledge base for faster issue resolution.

Key Skills & Technologies:

  • Hands-on 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 is a plus.
  • Familiarity with low-code platforms (Mendix Appian) and collaboration tools (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.

Employment Type

Full-time

Company Industry

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