Data Analyst

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Data Analyst

A Data Analyst interprets data and turns it into information that can offer ways to improve a business, thus affecting business decisions. Also, a Data Analyst gathers information from various sources and interprets patterns and trends – as such a Data Analyst’s job is very analytical. Once data has been gathered and interpreted, the data analyst does the following:

Firstly, he reports back what has been found in a comprehensive study to the wider business/relevant colleagues.

Secondly, he applies statistical and quantitative analysis for clients or employers in a wide range of fields.

These fields include finance, healthcare, telecommunications, and marketing. Also, he is responsible for researching and analyzing the present state of businesses, industries, and companies to make forecasts.

Duties and responsibilities of a data analyst


  • Collecting and interpreting data and analyzing results
  • Reporting the results back to the relevant members of the business
  • Identifying patterns and trends in data sets
  • Working alongside teams to establish data needs
  • Defining new data collection and analysis processes
  • Gathering and evaluating user feedback
  • Recommending and executing improvements
  • Creating technical documentation for reference and reporting

Key skills for a data analyst

  • Strong mathematical skills to help manage data
  • Problem-solving skills
  • Accuracy and attention to detail
  • Verbal and written communication skills
  • Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
  • Good knowledge of programming languages such as python, oracle, R, and SQL.
  • Good knowledge in statistical packages like Excel, SPSS, and SAS to be used for data set analyzing
  • Attention to detail




  • Natural affinity towards analytical tools (sciences, engineering, mathematics, statistics, economics, etc)


Minimum required profile


  • At least an A-Level certificate
  • Good understanding of English Language
  • Good at using computing systems to accomplish simple tasks
  • Ready to commit at least 8 hours per work day, 40 hours per work week


Minimum required tools


  • A functional laptop with internet connectivity
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