BI / dashboard developer

BI developers build the dashboards a business checks every morning: sales, stock, waiting lists, whatever matters most. It is practical, visual work that sits between data and design, and it suits people who enjoy making complicated things clear. You do not need a computer science degree, and the main tools can be learned free online. The honest downsides are long stretches at a screen and requests that change weekly. But a dashboard people actually use is satisfying, and every sector needs them now.

A day in this job

You start by checking the overnight data loaded correctly into your dashboards. Mid morning you meet a team to understand what they actually need to see. You spend the afternoon building and refining charts, testing them with real numbers. Before you finish, you tidy the layout so tomorrow's viewers understand it at a glance.

How AI is changing it

AI can draft charts and write the queries behind them faster than any person can. What it cannot do is sit with a team, understand what they really need, and choose the one view that helps. Deciding what deserves attention stays human.

What you need to start

Most people enter with a relevant degree, though vocational qualifications and apprenticeships also lead in.

The steps, in order

1. Try a free data course A free introductory data course shows you how numbers become charts, and whether making things clear appeals to you.
2. Learn one BI tool properly Pick one dashboard tool, such as Power BI, and follow free tutorials until you can build a page without help.
3. Build a dashboard on real data Find free open data about something you care about and build a dashboard a stranger could understand at a glance.
4. Look at funded routes Data Skills Bootcamps are government funded for many adults and were built with career changers firmly in mind.
5. Get a recognised credential A BCS data qualification gives your portfolio external weight when employers are skimming CVs quickly.
6. Apply, then keep growing Apply with your dashboards up front, then keep growing: newer tools, bigger datasets, and helping the next beginner.

Tick off steps, save the job and grow your own tree. Free, nothing captured.

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