data analyst

What the work can involve

Data analysts work with datasets that need to be imported, checked, cleaned, transformed, validated, modelled and interpreted against business goals. The setting is usually close to databases, reporting tools, data repositories and people who need reliable numbers for decisions.

Skills and specializations

Useful skills include data quality checks, query logic, modelling, visualisation, dashboard design, statistical thinking and clear explanation of limits in the data. Some roles lean toward business reporting, while others focus on repositories, algorithms or analytical product support.

Salary context

Salary context depends on dataset complexity, business impact, tooling depth, independence and whether the analyst owns recurring reports or exploratory modelling. A dashboard maintenance role has a different scope from work shaping decision models for several teams.

Career paths

Experience can lead toward senior data analyst work, business intelligence, analytics engineering, data product ownership, data quality roles or systems analysis. Progress is often built through trusted datasets, reproducible methods and reports that decision makers understand.

Good to know

Read vacancies for named tools, database work, dashboard ownership, validation routines, modelling expectations and who uses the analysis. Check whether the post is mostly reporting, cleaning source data, interpreting trends or translating business questions into datasets.

Editorial note

This guide is editorial career context. It is not official labour-market statistics or role-specific salary data.

Alternative labels

Occupation group

Systems analysts (2511)

Source facts