Data analyst

What the work looks like

• Clean and validate datasets
• Ask stakeholders what decision they need to make
• Build queries and clear charts
• Explain assumptions and limitations

Skills you will use

• Numerical reasoning
• Spreadsheet and query skills
• Careful interpretation
• Visual communication

Education and entry routes

• Statistics, economics, mathematics, computing, or another quantitative degree
• A subject degree with applied data projects
• Employer-specific analytics training

Tradeoffs worth considering

• Incomplete data can limit conclusions
• Business questions are often ambiguous
• A persuasive chart is not necessarily reliable evidence

Try it before you choose it

• Analyze a small public dataset
• Write a one-page explanation of its limitations
• Recreate a misleading chart more honestly

What programme-specific requirements look like

Selected official examples, not a college ranking or a complete course directory. These facts apply only to the named programme and cycle.

Requirements and realistic entry routes

Check mathematics or statistics prerequisites in each degree; practise spreadsheets before deciding that an expensive bootcamp is necessary.

Distinguish a useful school subject from a compulsory admission subject. Check the exact programme, application year, school-board equivalence and professional recognition for your intended country.

First roles to investigate

• Reporting analyst
• operations analyst trainee
• junior business intelligence analyst

These are role-search examples, not vacancies or guaranteed outcomes. Some require recognised qualifications or supervised professional training.

Try a small piece of the work

Investigate why a fictional campus shop has stockouts using a small invented sales table.

Produce

A cleaned dataset, a data dictionary, three charts and a one-page decision memo.

Check your result

Totals reconcile, missing values are explained, and every recommendation names a limitation.

Common misconception

A dashboard is not an analysis unless it answers a decision and shows data limitations.

Practical constraints

Account for time spent cleaning records, not only time spent making charts.

Go deeper

Check the evidence and study routes

Data science involves selecting useful data, checking models and explaining results; it is adjacent to, but not identical with, every analyst or statistician role. Occupational context: United States.

Adjacent possibilities

Make it your next step

Compare the route, try a small piece of the work and bring specific questions to a counsellor.