How to Connect Jira With Power BI - Agile Reporting Setup Easily 2026

Before touching Power BI, open Jira and look at the boards and spaces your team works in: Marketing, Scrum boards, a Test Board, whatever you run sprints against. The connector you install later pulls from whichever projects and boards you have access to, so it helps to know upfront which ones matter for the report you're building. If your Jira instance carries a lot of legacy or unused boards, note which ones to exclude now, since dragging every historical project into a Power BI report just adds noise.

From Jira, go to Apps and open the Marketplace, then search "powerbi." Several dedicated connectors show up: options like Power BI Connector for Jira from Tempo Software, and similar apps from vendors such as Alpha Serve and Appfire, each promising no-code report building and pre-built dashboard templates. Ratings and install counts appear right in the results.

Check them, since these are third-party apps with their own pricing tiers; Microsoft doesn't publish a native Jira connector for Power BI, so there's no single official integration to default to. Read a couple of app descriptions before picking one. Some focus on embedding Power BI visuals inside Jira issues, others on exporting Jira data out to Power BI Desktop.

Once you pick a connector, installing it opens a short flow: select which site to install it on if you manage more than one, confirm the Jira products it will attach to (Jira Software, Jira Service Management, and so on), and review before confirming. Most of these apps start with a free trial, commonly 30 days and often extendable, so you can test the connection before committing to a paid, per-user tier.

This step is also where the app requests its permissions. It needs read access to issues, boards, and sprints to do anything useful in Power BI, so expect a permissions prompt during install.

After installation, the connector typically adds a setup page inside Jira or a companion authentication step in Power BI itself, where you sign in with your Microsoft account and grant the app access to your Power BI workspace. From there you choose which projects or boards to sync.

This is where the board list you reviewed earlier pays off, since you're picking specific data sources instead of importing everything. Many connectors include pre-built dashboard templates at this stage, letting you get a working report before you've built anything yourself.

With data flowing into Power BI, build visuals around the fields that matter for agile tracking: issue status, sprint start and end dates, story points, and assignee. A stacked bar chart of issues by status per sprint gives an instant burndown-style view, and grouping by assignee surfaces workload imbalances that Jira's own boards don't show as clearly.

Because you're now in Power BI, you can also blend in data from outside Jira entirely: budget figures, time-tracking exports, or other project data, something the native Jira reporting screens can't do. Point the finished report at the questions your team really asks: is this sprint trending toward completion, whose queue keeps growing, which issue types keep bouncing back to "in progress." A portfolio view that combines multiple boards is one of the bigger wins here, since Jira's native dashboards struggle to show more than one project cleanly at a time. Save these as separate report pages so stakeholders can flip between a single-sprint view and a program-level view without you rebuilding anything.

A Power BI report is only as useful as its last refresh. Set up a scheduled refresh once you're happy with the layout, instead of re-pulling data by hand before every meeting.

Most connector apps support scheduled sync on a paid tier, pulling fresh issue and sprint data on an interval you set. If you're still on a trial, get in the habit of refreshing manually before any report-out. A dashboard showing last week's sprint status undermines the point of connecting the two tools in the first place.