I ended up with writing a python script that runs every hour and dump the JIRA data to a json file. Tableau can consume json file easily and it works for both JIRA cloud and server. Here is the essence of my script.

from jira import JIRA
import json
import sys
jira = JIRA(server="yourserver",
            auth=('uid','pwd'))
# Get all issues in project
issues = jira.search_issues('project=yourproject',maxResults=sys.maxsize)
# Keep only raw data
cleaned_list = [issue.raw for issue in issues]
# Dump cleaned list as a json file
with open('result.json','w')as fp:
    json.dump(cleaned_list,fp)
    

I know what you are thinking; this is not two lines! Well, it can be written in two lines if you dont care about code styling or PEP-8 compliance.

import jira,json,sys
with open('result.json','w')as fp:json.dump([issue.raw for issue in jira.JIRA(server="yourserver",auth=('uid','pwd')).search_issues('project=yourproject',maxResults=sys.maxsize)],fp)
    

Remember to select all schema levels when making the connection in Tableau.

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Here is a preview of the available fields after creating the connection.

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