Free practical guide
How to become a data analyst: skills and first projects
A data analyst turns a question into evidence someone can use. Knowing SQL or how to draw a chart helps, but the job also requires defining the question, checking the data and explaining what the result means.
What does a data analyst actually do?
Picture a manager asking, “Why did invoiced sales fall last quarter?” A useful answer does more than show two totals. It checks that sales means the same thing in both periods, investigates the main drivers and identifies what should happen next.
Common tasks include defining metrics, extracting data, checking records for errors, summarising changes, making charts and briefing stakeholders. Different employers use different tools, so begin with repeatable skills rather than memorising every product name.
Five skills to start practising
- Define the question. Agree on the metric, population, time period and decision. “Sales” can mean orders, invoices or cash.
- Work with tables. Learn filters, joins, grouping and aggregation. SQL is a useful way to make your steps repeatable.
- Check data quality. Look for missing IDs, duplicates, inconsistent dates, incorrect types and unexpected changes in row counts.
- Interpret the numbers. Compare actuals with expectations, describe distributions and avoid claiming causation from correlation alone.
- Explain a decision. Present the finding in plain language, show caveats and recommend a reasonable next check or action.
A first project you can finish
Project: explain a sales change
Use a fictional business dataset. Compare two quarters of invoiced sales, split the movement by product category, check whether the result is driven by a small number of customers and write a short briefing.
Deliverables: a defined metric, your reproducible calculations, one appropriate chart or table, and a 150-word explanation of the main driver and what remains uncertain.
Start with SQL for Analysis to query realistic business data. If you need foundations first, try Data Literacy for Business Decisions. For a deeper investigation, explore Exploratory Data Analysis.
How should you demonstrate the skill?
Keep the original question, the dataset's source and any assumptions. Show the working steps and explain how you verified the result. It is stronger evidence of capability than a screenshot of a chart without context.
Choose a level that fits you
Someone new to the job may focus on accurate reporting and clear definitions. An established analyst may investigate ambiguous questions independently. A senior analyst may shape priorities, challenge weak assumptions and coach colleagues.
Explore the Data Analyst role on Insyt to see tasks and skills at different stages, or browse the available learning Paths without committing to a single route.
Keep learning with Insyt
Follow practical lessons and work with realistic fictional company data. Everything is free to explore, with no account needed.
Explore free Paths