Tableau Support Analyst || Santa Clara, CA (Onsite)

Overview

On Site
Accepts corp to corp applications
Contract - 12+ month

Skills

Tableau
L2
Administration
support analyst
L3

Job Details

Hello

I hope you are doing well. This is Ranjit Singh from Amaze Systems.

We are urgently hiring for a Tableau Support Analyst position.

Kindly share your resume and connect with me to discuss the next steps.

Role: Tableau Support Analyst

Location:- Santa Clara, CA (Onsite)

Duration: Long Term


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.

Ranjit Singh| Senior Talent Acquisition Specialist
Amaze Systems Inc

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About Amaze Systems Inc