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Data Analyst Salaries in Nigeria

The average net salary for Data Analyst in Nigeria is ₦141K. Salary estimated from 79 employees

  • Average Salary ₦141K per month
  • Base Salary
    ₦141K
  • Cash Bonus (7 employees)
    ₦9K
  • Profit Sharing (4 employees)
    ₦12K
  • Sales Commission (2 employees)
    ₦332
  • Accommodation (4 employees)
    ₦11K
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    • Entry Level Salary for Data Analyst in Nigeria

    • (0 - 2 years experience)
    • 47 employees
    ₦120K
    • Mid Level Salary for Data Analyst in Nigeria

    • (3 - 9 years experience)
    • 30 employees
    ₦173K
    • Senior Level Salary for Data Analyst in Nigeria

    • (experience - 10 years & above)
    • 2 employees
    ₦159K
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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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