Have been seeing positions for BIE, Business Analyst, Data Analyst, Analytics Engineer and Data Engineer with very similar requirements/needs. Python & SQL are thrown into almost every one of the above job descriptions these days.
What is your understanding of the difference between these roles?
Salary wise: DE > AE > BIE > DA > BA?
Context: currently a BA, very comfortable with coding. Want to get into a significantly more technical role beyond just a SQL monkey.
Thanks for the help!
TC: 120K
Role: BA
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comments
AS/RS >
MLE/SDE >
DE/DS >
AE/BIE >
DA >
BA
AE and BIE to me are basically repackaging of existing ETL developers or lightweight DE.
DA - Does a lot of reporting and dashboarding. Basically DS minus the predictive modeling and hypothesis testing.
BA - mostly help out the developers with requirements collection and documentation from the users.
In the industry, DEs are SWEs with extra expertise in building and managing Data Processing Systems, Frameworks and Data Pipelines.
Remaining roles are explained very well by @InALimbo above.
In the industry, salary wise on an average:
AS/RS (research / PHd ones) >=
MLE >=
SWE >=
DE >
DS (non research ones) >>
AE/BIE >>
DA >
BA
Important to notice the >= sign