Career conversations · A practical starting point

Your next step into analytics.

For students seeking a first data analytics role, and people moving from finance or business analysis. Start with one role, one example and one useful question.

Start with the experience you have

Studying data analytics

Choose a piece of coursework or a small project you can explain well. Finish one useful example, then be ready to explain the question, your choices, the checks you made and what someone could do with the result.

If you have little work experience, use public or synthetic data and make the imagined user clear. Keep the example small enough to understand and finish.

Moving from finance or business analysis

Your knowledge of a business process is useful evidence. Reconciliation, variance analysis, requirements, process mapping and explaining trade-offs all have a place in analytics work.

A variance investigation or process map can become an analytics example when you explain the question, the evidence and the action it informed.

Explain what you already know, then identify the technical gap for the role you want. You do not need to present yourself as a beginner at everything, or claim skills you have not used.

Let the role guide what you learn next

Find one or two current job descriptions that genuinely interest you. Compare the work involved, not just the title. A role centred on reporting, business decisions or data pipelines can call for different evidence.

Already demonstrated: something you can explain with an example.
Next to practise: one skill that appears in the roles and would improve that example.
Later: tools or credentials that are interesting but are not the immediate gap.

This turns “I need to learn more” into a decision you can act on.

Make one example easy to discuss

A useful portfolio example or interview story can follow five steps. Use material you have permission to share; a recreated example using public or synthetic data is often enough.

The questionWho needs to make a decision, and what are they trying to understand?
The data and its limitsWhere did it come from? What did you check for missing values, duplicates, definitions or an unfair comparison?
Your approachWhat did you do, and why did that method fit the question? Include an alternative you considered.
The useful resultWhat did you find? What would you recommend, and what evidence supports it?
What you would improveWhat remains uncertain? What would you check or change next?

You do not need a new tool in every example. You need to make your reasoning visible.

Bring one decision to the conversation

Good starting questions include “Which of these roles fits my experience?”, “What is missing from this example?” and “What should I practise next?”

Write a few lines about your starting point, the role you are aiming for and the decision you want to work through. Keep private employer or customer information out of it.

Download the preparation prompts (.txt)

If you would like a conversation, email me those few lines. No attachments are needed in the first message. These are free, occasional conversations, subject to availability; the Services page explains the offer.

Use this guide whether or not we speak. A clearer next step is a useful result in its own right.