Business Intelligence Administrator salary in Kenya

Average Yearly Salary of Business Intelligence Administrator in Kenya is approximately 1,609,092 KES (10,221 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 Business Intelligence Administrator do?

A Business Intelligence Administrator is responsible for managing and maintaining the organization's business intelligence systems and tools. They gather, analyze, and interpret data to provide insightful reports and recommendations to support decision-making processes. This role involves designing and implementing data models, ensuring data accuracy and integrity, and monitoring system performance. Business Intelligence Administrators collaborate with various teams to understand their data needs and develop strategies to optimize data collection and analysis. They also provide training and support to end-users, ensuring they can effectively utilize the business intelligence tools and understand the reports generated.

Skills: Business Intelligence, Data Analysis, Data Management, Reporting, Decision-making, System Administration
Job industry: Information technology

How much does Business Intelligence Administrator make?

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


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Salary comparison to National average

Is Business Intelligence Administrator a well paid job?

Yes, our data shows that Business Intelligence Administrator is a well paid job. With years and experience the salary might increase even further, resulting in higher satisfaction.

What is considered a high salary for Business Intelligence Administrator?

High salary for Business Intelligence Administrator would be somewhere between 1,770,001 KES and 2,333,183 KES. However this is an estimation based on Gaussian Distribution.

How much can you save working as Business Intelligence Administrator 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: 1,609,092 KES
Estimated Monthly Salary: 134,091 KES
Estimated Weekly Salary: 30,944 KES per week
Estimated Hourly Salary: 774 KES per hour
By working as Business Intelligence Administrator a person can save up to 612 USD per month or 7,341 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 Business Intelligence Administrator

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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