Late last year, we ran a few classes for someone who did not have a formal Data Analyst role at all. Her title was Coordination Manager. Data was not in her job description, and analytics was not something she was expected to “own”.
Yet learning Power BI, supported by strong Excel foundations, helped her resecure her position at work. More importantly, it gave her confidence. Confidence that the work she was doing was creating real impact in her company.
That shift matters more than any job title.
Data skills are not just for Data Analysts
We often associate data tools with analysts, engineers, or technical teams. In reality, many of the people creating the most value with data are:
- Office Managers
- Operations Assistants
- Coordination and Admin Managers
These roles sit close to the business. They see how money moves, where time is wasted, and where processes break down. When combined with good Excel skills and basic data modelling, that insight becomes powerful.
AI can absolutely help organise data and speed things up. But AI is only as useful as the questions you ask. Knowing what to look for, what does not make sense, and where gaps might exist is what truly improves decision making.
That knowledge usually comes from experience, not automation.
Start from the basics and build up
One of the biggest mistakes we see is people trying to rush the learning process.
They jump straight into advanced dashboards, complex models, or AI tools without building confidence in the basics. That often leads to frustration or shallow understanding.
A far more effective path looks like this:
- Start with Excel and get comfortable exploring data
- Learn how to structure and clean information
- Move into Power BI to visualise and explain what you see
- Use AI as support, not as a shortcut
Do not try to accelerate the process. Learn step by step. Play with data. Break things. Just make sure it is test data, not your company’s real data.
When learning feels safe and enjoyable, progress comes naturally.
Courses, guidance, practice, and AI
In our experience, the best results come from combining four things:
- Clear courses that focus on real use cases
- Guidance from people who have done this in real organisations
- Regular practice, even with small datasets
- AI tools to support thinking, not replace it
When those pieces come together, people grow faster and with far more confidence.
Looking ahead
This year, we are looking forward to continuing to guide people through their learning journeys. Especially those who do not yet see themselves as “data people”.
You do not need to change your job title to create value with data. Sometimes, you just need the right starting point and the confidence to keep going.
#PowerBI #AdvancedExcel #Python #SQL #DataAnalytics #OfficeManager
