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A Big Data Engineer is expected to have the technical know-how to handle large quantities of data, understand complex algorithms and advanced software, and provide efficient solutions for data-related challenges.

A Data Analyst independently interprets data to help companies make decisions by creating strategies and providing actionable insights. They have to be comfortable working with large and complex datasets, interpreting them, and communicating results.

A Data Scientist is a professional who uses computational skills, statistics and problem-solving capabilities to decode large sets of data. They utilize scientific techniques to draw insightful narratives about the data and assist the company in making evidence-based decisions.

A Power BI Analyst translates raw business data into actionable insights, providing data-driven solutions to improve organization's performance and strategic decision-making.

A Statistician is an individual with expertise in interpreting and analyzing data, developing crucial algorithms for problem-solving and decision making, and applying statistical theories across various fields.