Roles of a Data Mining Analyst

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What are roles of a Data Mining Analyst? What should he/she do in a company?
Dec 12, 2018 in Career Counselling by Vidhyut
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3 answers to this question.

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  • Identify opportunities to improve productivity via sophisticated statistical modeling
  • Explore data to identify opportunities to improve business results
  • Develop understanding of business processes, goals and strategy in order to provide analysis and 
  • Performing strategic data analysis and research 
  • Identifying opportunities to improve productivity via sophisticated statistical modeling 
  • Looking at user behaviors to find common patterns or trends that may be used to improve a product’s performance 
  • Interpreting results and identifying opportunities for improvements 
  • Communicating recommendations to stakeholders and/or clients
  • Perform statistical analysis to prioritize which accounts should be worked in order to maximize success
  • Identify areas for improvement, communicating action plans to supervisor or client
  • Perform strategic data analysis and research to support business needs
  • Gain understanding of business needs and necessary analysis where appropriate through internal discussion
answered Dec 12, 2018 by Medini
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A Data Mining Analyst contributes to the business of the organization. A Data Mining understanding the data and finds out ways to turn it into business. The main roles of a Data Mining Analyst are Understanding data, filtering data that is useful for the business, use the data to come up with business actions.
answered Mar 29 by Francis
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Role of Data Mining Analyst is listed below:

  • Data mining involves analyzing data in order to identify hidden patterns and systemic relationships that can be used to predict future behaviors. 
  • It is the process of transforming information into insights that help businesses make more meaningful, fact-based decisions.

They should be known with the points listed down to be in the company:  

  • Familiarity with data analysis tools, especially SQL, NoSQL, SAS, and Hadoop.
  • Strength with the programming languages of Java, Python, and Perl.
  • Experience with operating systems, especially LINUX.
answered Apr 5 by amrita

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