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Data Analyst Salaries in Kenya

The average net salary for Data Analyst in Kenya is KSh 68K. Salary estimated from 40 employees

  • Average Salary KSh 68K per month
  • Base Salary
    KSh 68K
  • Cash Bonus (7 employees)
    KSh 3K
  • Profit Sharing (4 employees)
    KSh 4K
  • Sales Commission (2 employees)
    KSh 95
  • Accommodation (4 employees)
    KSh 3K
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    • Entry Level Salary for Data Analyst in Kenya

    • (0 - 2 years experience)
    • 20 employees
    KSh 57K
    • Mid Level Salary for Data Analyst in Kenya

    • (3 - 9 years experience)
    • 20 employees
    KSh 80K
    • Senior Level Salary for Data Analyst in Kenya

    • (experience - 10 years & above)
    • 0 employee
    Nil
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Who is a Data Analyst?

A data analyst is someone who collects, processes and performs statistical analyses of data. Data analysts translate numbers and data into plain English in order to help organizations and companies understand how to make better business decisions.

Duties of a Data Analyst

  • Collecting and interpreting data
  • Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems.
  • Analysing results
  • Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
  • Working alongside teams within the business or the management team to establish business needs.

Qualifications

 Degree in Mathematics, Computer Science, Statistics or Economics.

Skills

  • Accuracy and attention to detail
  • Predictive Analytics
  • Programming languages, such as SQL, Oracle and Python.
  • Presentation Skills
  • Problem-solving skills
  • Critical Thinking
  • Ability to model and interpret data.

Common Data Analyst Interview Questions

  • What is required to become a data analyst?
  • What are the various steps in an analytics project?
  • Which data analysis software are you well-versed in?
  • What is the difference between data mining and data profiling?
  • What was your most difficult data analyst project?
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