A data analyst is in charge of gathering, scrubbing, and analysing data that may be applied to better business judgements. They need to be able to explain their findings clearly to people who will be making the decisions. Data analysts frequently have strong backgrounds in computer science and mathematics.

Key business data breakdown: A business intelligence analyst may collect, clean, and analyse data on a company's revenue, sales, market data, or customer interaction indicators. In order to better visualise or monitor data, BI analysts may also be asked to programme tools and data models.

An individual who uses theoretical or applied statistics is known as a statistician. The industry operates in both the public and private sectors. Combining statistical knowledge with experience in other fields is quite frequent, and statisticians can operate both as employees and as consultants.

The design, upkeep, and optimisation of the data infrastructure for data collection, management, transformation, and access are under the purview of data engineers. They are in charge of building pipelines that transform unstructured data into formats that data scientists and other users of the data can use.