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Data Analyst

Salary undisclosed

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Description

  • Good understanding of programming languages, data mining, data management and statistical analysis.
  • Familiar with the technologies used for data analysis
  • Knowledge and ability to use various data analysis and management tools can be beneficial in this role. Examples of such tools are Microsoft Excel, Python, Tableau and SQL
  • Understand the nature, quantity, errors and flaws in data
  • Can condense large data sets into smaller ones by removing duplicate data and unnecessary files
  • Create and use charts and graphs to represent data visually and present the results clearly
  • Good communication skills and ability to share information about business data with individuals from both technical and non-technical backgrounds
  • Detail oriented, precis and accurate

Responsibilities

  • Good understanding of programming languages, data mining, data management and statistical analysis.
  • Familiar with the technologies used for data analysis
  • Knowledge and ability to use various data analysis and management tools can be beneficial in this role. Examples of such tools are Microsoft Excel, Python, Tableau and SQL
  • Understand the nature, quantity, errors and flaws in data
  • Can condense large data sets into smaller ones by removing duplicate data and unnecessary files
  • Create and use charts and graphs to represent data visually and present the results clearly
  • Good communication skills and ability to share information about business data with individuals from both technical and non-technical backgrounds
  • Detail oriented, precis and accurate

Qualifications

  • Bachelor’s degree in mathematics, statistics, computer science, economics, or a related field.
  • Proven years of experience as a data analyst or in a similar role, showcasing successful data analysis projects.
  • Strong analytical mindset with attention to detail and accuracy in data interpretation.
  • Excellent communication and presentation skills to convey complex data insights to diverse audiences.

Description

  • Good understanding of programming languages, data mining, data management and statistical analysis.
  • Familiar with the technologies used for data analysis
  • Knowledge and ability to use various data analysis and management tools can be beneficial in this role. Examples of such tools are Microsoft Excel, Python, Tableau and SQL
  • Understand the nature, quantity, errors and flaws in data
  • Can condense large data sets into smaller ones by removing duplicate data and unnecessary files
  • Create and use charts and graphs to represent data visually and present the results clearly
  • Good communication skills and ability to share information about business data with individuals from both technical and non-technical backgrounds
  • Detail oriented, precis and accurate

Responsibilities

  • Good understanding of programming languages, data mining, data management and statistical analysis.
  • Familiar with the technologies used for data analysis
  • Knowledge and ability to use various data analysis and management tools can be beneficial in this role. Examples of such tools are Microsoft Excel, Python, Tableau and SQL
  • Understand the nature, quantity, errors and flaws in data
  • Can condense large data sets into smaller ones by removing duplicate data and unnecessary files
  • Create and use charts and graphs to represent data visually and present the results clearly
  • Good communication skills and ability to share information about business data with individuals from both technical and non-technical backgrounds
  • Detail oriented, precis and accurate

Qualifications

  • Bachelor’s degree in mathematics, statistics, computer science, economics, or a related field.
  • Proven years of experience as a data analyst or in a similar role, showcasing successful data analysis projects.
  • Strong analytical mindset with attention to detail and accuracy in data interpretation.
  • Excellent communication and presentation skills to convey complex data insights to diverse audiences.