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A Big Data Analyst is a professional who specializes in extracting and analyzing large datasets to identify trends, generate insights, and inform decision making. They are responsible for collecting data from various sources, cleansing it of any anomalies or errors that may be present, performing analysis on the data using specialized software tools such as SAS or Hadoop, creating reports illustrating their findings and presenting them to stakeholders. Big Data Analysts need strong technical skills including experience working with databases (relational/non-relational) big data infrastructure (Hadoop/Spark), programming languages such as Python & R etc. Additionally they must have a good understanding of statistical techniques like linear regression & logistic regression; machine learning algorithms; predictive modeling techniques; natural language processing etc., which will help them draw meaningful conclusions from the vast amounts of complex data they manage on daily basis. Furthermore they should also possess excellent communication skills so that he can interact effectively with end users and other IT personnel involved in projects related to business intelligence processes along with having sound knowledge about industry specific regulations & standards pertaining to storage & handling of sensitive information extracted during analysis process. The job profile also involves developing dashboards using visualization software platforms like Tableau for better comprehension by non-technical audiences who would not understand raw analytical output presented otherwise