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What does a data engineer do compared with a data analyst?
A data engineer builds and maintains the pipelines, storage and models that make data reliable and available. A data analyst uses that data to answer business questions, build dashboards and explain results. Small companies often need both skills, sometimes in one person or an external team.
Data engineer: extraction, loading, transformation, orchestration, testing, performance, security.
Data analyst: querying, visualisation, interpretation, recommending actions.
Data scientist: statistical modelling and machine learning for prediction or classification.
When the foundation is weak, analysts spend most of their time cleaning and reconciling. Investing in solid data engineering first usually makes later analysis faster and more trustworthy. Zansa combines analytics and data science work for small and mid-sized companies.
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