Data Analysis

Data Analysis

Data analysts collect, process and perform statistical analyses of data. Their skills may not be as advanced as data scientists (e.g. they may not be able to create new algorithms), but their goals are the same – to discover how data can be used to answer questions and solve problems.

Data analysts are sometimes called “junior data scientists” or “data scientists in training.” Instead of being free to create their own big data projects, they may be limited to tackling specific business tasks using existing tools, systems and data sets.

The process of data analysis :

  • Data requirements.
  • Data collection.
  • Data processing.
  • Data cleaning.
  • Exploratory data analysis.
  • Modeling and algorithms.
  • Data product.
  • Communication.

Data analysts may :

  • Work with IT teams, management and/or data scientists to determine organizational goals.
  • Mine data from primary and secondary sources.
  • Clean and prune data to discard irrelevant information.
  • Analyze and interpret results using standard statistical tools and techniques.
  • Pinpoint trends, correlations and patterns in complicated data sets.
  • Identify new opportunities for process improvement.
  • Provide concise data reports and clear data visualizations for management.
  • Design, create and maintain relational databases and data systems.
  • Triage code problems and data-related issues.