We’re looking for a Tableau expert to help design and validate realistic analytics workflows for an AI simulation environment.
The ideal expert has hands-on experience administering Tableau Server or Tableau Cloud (as an admin / data engineer), or building analytics on it (as a BI developer / analyst), and can explain how users navigate Tableau, which views, functions, and settings they rely on, what outputs they produce, what makes a task realistic, and what common edge cases or mistakes should be captured.
You’d validate task ideas, review workflows for realism, flag missing data sources, and share practical workflows such as publishing and certifying a data source, scheduling extract refreshes and Tableau Bridge connections, setting site and project permissions and row-level security, shaping data in Tableau Prep, building calculated fields and LOD expressions, designing an interactive dashboard with filter and parameter actions, and troubleshooting a slow workbook or a failed refresh.
Good fit if you can answer:
1. What would a Tableau admin or developer do to complete this task?
2. Which views, functions, settings, or exports would they use?
3. What does a correct final output look like (a certified data source, a working refresh schedule, a published dashboard, a permissions model)?
4. What would make the workflow unrealistic or too shallow?
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Company : Upwork
Salary : Work from home
Location: , ,
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