Data Analyst I salary in Kenya

Average Yearly Salary of Data Analyst I in Kenya is approximately 1,015,831 KES (6,449 USD). Data is for 2025 and indicates a pre-tax value. The salary itself depends on multiple factors such as seniority, job performance, certifications, experience or any other bonuses. The value indicated is an average amount based on records we have in database. Real values may vary. The data is for orientational purposes.

What does Data Analyst I do?

A data analyst is responsible for collecting, organizing, and analyzing large sets of data to identify patterns, trends, and insights that can inform business decisions. They use statistical techniques and software tools to clean and validate data, develop models, and create visualizations and reports. Data analysts work closely with stakeholders to understand their requirements and translate them into actionable insights. They also play a crucial role in identifying areas for improvement and optimizing data collection processes. Strong analytical skills, proficiency in programming languages such as Python or R, and knowledge of data visualization tools like Tableau are essential for this role. Attention to detail, problem-solving abilities, and the ability to communicate complex findings in a clear and concise manner are also important.

Skills: data analysis, statistical analysis, data visualization, programming, problem-solving, communication
Job industry: Data analysis

How much does Data Analyst I make?

Difference in salary year over year or average salary increase is approximately 3 %


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Salary comparison to National average

Is Data Analyst I a well paid job?

Yes, our data show that Data Analyst I is an averagely well paid job that still allows for some yearly savings. With years and experience the salary might increase even further, resulting in higher satisfaction.

What is considered a high salary for Data Analyst I?

High salary for Data Analyst I would be somewhere between 1,117,414 KES and 1,472,955 KES. However this is an estimation based on Gaussian Distribution.

How much can you save working as Data Analyst I in Kenya?

Living in Kenya the approximate monthly expenses are: 240 USD. This amount covers basic needs such as food, housing, clothing, healthcare and education costs for a single person. No luxury expenses such as traveling, leisure, hobbies are included in the estimation.

Estimated Yearly Salary: 1,015,831 KES
Estimated Monthly Salary: 84,653 KES
Estimated Weekly Salary: 19,535 KES per week
Estimated Hourly Salary: 488 KES per hour
By working as Data Analyst I a person can save up to 297 USD per month or 3,569 USD yearly. Values are pre-tax.

NOTE: These values are estimates and are averaged for the whole country. Furthermore the value is likely exaggerated as no other expenses are taken into account in the projection. Unessential expenses are very subjective and are difficult to assess. Most likely the previously estimated number is significantly lower for majority of people. Expenses in different cities across the country may vary. Above values accuracy is low and is based on limited set of data obtained.

For more information regarding expenses in Kenya, see costs of living in Kenya.

Salary comparison to region and neighbouring coutries

Country's neighbours are: Ethiopia, Somalia, South Sudan, Tanzania, Uganda..
To make it easier for comparison a conversion from local currency to USD has been made (conversion rates may vary).

Estimated Yearly Salary for Data Analyst I

Last revision of data: 2025-01-04

Salary increase per years of experience

Based on data available the salary increase per years of experience is as following

0 years (beginner) equals base salary

1 to 5 years of experience yields +12% salary increase

6 to 10 years of experience yields +25% salary increase

11 to 15 years of experience yields +16% salary increase

16 to 25 years of experience yields +9% salary increase

more than 25 years of experience yields +10% salary increase

NOTE: Details based on limited set of data. Percentages may vary. The salary increase over years of experience can vary widely based on factors such as job industry, job role, location, company size, and individual performance. To gain even larger increase in salary one is advised to switch jobs and / or employer.

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Data as of 2025

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