Power BI and Jira are industry-leading tools for data visualization and project management, and organizations naturally want to leverage both to gain deeper insights from their project data. When combined, they allow teams to transform raw Jira issues into meaningful dashboards and reports that reveal progress, performance, and trends.
But connecting these platforms isn’t always simple. It often demands technical expertise or complex configuration that can be a barrier for many teams. Through our own experience with existing solutions, we’ve learned that even something as simple as selecting the right Jira data and getting it into Power BI can become a frustrating process.
That’s why we built a no-code connector designed to make Power BI and Jira work together effortlessly. With just a few clicks, you can turn your Jira data into dynamic Power BI dashboards that drive real business decisions. The connector is built for everyone — non-technical users can easily create exports using intuitive filters, while teams with technical experience can still take advantage of JQL for greater flexibility.
In this article, we’ll walk through how it works, highlight its key features, and share a preview of the new capabilities coming soon.
The first step in creating a Power BI connection is to specify the data you want to include. On the Create Export page, you can do this in two ways:
We’ve designed the basic filters with simplicity in mind, so users can specify exactly the data they want in seconds. Common options like project, assignee, and issue type are readily available, along with additional filters such as created date and reporter.
You can mix and match filters to fine-tune your results, or use the dropdown to exclude certain values — for example, you might want to include all issues in a project except those in Backlog or Cancelled.
Once you make a filter selection that returns one or more issues, a table of available fields will appear — including both system and custom fields. The matching issues counter at the top will also update to show the approximate number of issues that match your filter.
After creating an export, you’ll be taken to the Saved Exports page, which lists all the filters that users have saved for your Jira instance.
To bring the data into Microsoft Power BI, follow these steps:
1. Copy the URL for the desired export.
2. Open Microsoft Power BI, click Get Data, and choose OData.
3. Paste the URL into the URL field and click OK.
4. Choose Basic authentication and enter the email address associated with your Jira Cloud instance in the User name field. Enter your API token as the password in the Password field. If you don’t have a token you can create one here.
5. Click Connect.
6. When prompted, click Load.
The Jira data is now available in Power BI and you can begin building custom reports and visualizations.
Connecting Power BI and Jira shouldn’t require deep technical knowledge or hours of manual setup. Our connector was built to make the process simple, reliable, and accessible to everyone. Whether you’re exploring data for the first time or maintaining large-scale reports, it helps turn Jira issues into actionable insights with just a few clicks.
We’re continuing to add new features based on feedback from our users, so if there’s functionality you’d like to see, we’d love to hear from you.
Jack Dillon - Pallas Apps
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