data analyst

Description

Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualisations such as graphs, charts, and dashboards.

Theoretical Knowledge

ESSENTIALTheoretical knowledge required

query languages data ethics unstructured data information categorisation documentation types business intelligence business analytics data quality assessment visual presentation techniques information extraction information structure statistics data visualisation software data engineering data models data mining information confidentiality resource description framework query language data science

Practical Skills

ESSENTIALApplied skills & competences

integrate ICT data perform data mining define data quality criteria interpret current data analyse big data handle data samples execute analytical mathematical calculations establish data processes collect ICT data apply statistical analysis techniques implement data quality processes use databases manage data digital data processing use data processing techniques perform data cleansing normalise data

OPTIONALOptional competences

store digital data and systems make data-driven decisions manage data collection systems use spreadsheets software gather data for forensic purposes report analysis results deliver visual presentation of data manage cloud data and storage create data models manage quantitative data