Home > Salary > Kenya > Business Intelligence Consultant
A business intelligence consultant is a professional who helps organizations make informed decisions by analyzing and interpreting data. They work closely with stakeholders to understand their business objectives and identify key performance indicators (KPIs) that align with these goals. The consultant then designs and develops data models, dashboards, and reports to track and measure KPIs. They also provide insights and recommendations based on data analysis to improve business processes, identify opportunities, and address challenges.
Estimated Yearly Salary: 1,539,298 KES
Estimated Monthly Salary: 128,275 KES
Estimated Weekly Salary: 29,602 KES per week
Estimated Hourly Salary: 740 KES per hour
Values are pre-tax
Last revision of data: 2025-01-04
Estimated Monthly Salary: 124,004 KES
Estimated Weekly Salary: 28,616 KES per week
Estimated Hourly Salary: 715 KES per hour
Last revision of data: 2024-01-09
Estimated Yearly Salary: 9,757 USD
Estimated Monthly Salary: 813 USD
Estimated Weekly Salary: 188 USD per week
Estimated Hourly Salary: 5 USD per hour
Difference in salary year over year or average salary increase is approximately
3 %
Data confidence is - relatively high
Data fetched from dabase: 14 submissions.
Results are anonymized. Amounts indicated are pre-tax, meaning no deductionts yet have been made to the basic salary. Salaries where there are less than 3 entries are not displayed.
Want to check how your salary compares? Submit your own salary here
Estimated Yearly Salary: 1,539,298 KES
Estimated Monthly Salary: 128,275 KES
Estimated Weekly Salary: 29,602 KES per week
Estimated Hourly Salary: 740 KES per hour
By working as Business Intelligence Consultant a person can save up to 573 USD per month or 6,877 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.
Estimated Yearly Salary for Business Intelligence Consultant
Last revision of data: 2025-01-04
Data as of 2025
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Business Intelligence Consultant salary in Kenya
Average Yearly Salary of Business Intelligence Consultant in Kenya is approximately 1,539,298 KES (9,757 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 Consultant do?

Skills: Business Intelligence, Data Analysis, Data Visualization, Data Modeling, Decision-making, Performance Measurement
Job industry: Information technology
Job industry: Information technology
How much does Business Intelligence Consultant make?
Salary details
How much does Business Intelligence Consultant make?Estimated Yearly Salary: 1,539,298 KES
Estimated Monthly Salary: 128,275 KES
Estimated Weekly Salary: 29,602 KES per week
Estimated Hourly Salary: 740 KES per hour
Comparing salary to last year:
Estimated Yearly Salary: 1,488,044 KESEstimated Monthly Salary: 124,004 KES
Estimated Weekly Salary: 28,616 KES per week
Estimated Hourly Salary: 715 KES per hour
Business Intelligence Consultant estimated salary in USD
For easier comparison here is an estimated salary in USD:Estimated Yearly Salary: 9,757 USD
Estimated Monthly Salary: 813 USD
Estimated Weekly Salary: 188 USD per week
Estimated Hourly Salary: 5 USD per hour
Difference in salary year over year or average salary increase is approximately
About these results
Data confidence is - relatively high Data fetched from dabase: 14 submissions.
Results are anonymized. Amounts indicated are pre-tax, meaning no deductionts yet have been made to the basic salary. Salaries where there are less than 3 entries are not displayed.
Want to check how your salary compares? Submit your own salary here
Compare salary to other countries
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Country:
Salary comparison to National average
Kenya is a country located in East Africa. It has a diverse population of approximately 53 million people. The land area of Kenya is around 580,367 square kilometers, making it the 48th largest country in the world. It is bordered by Ethiopia to the north, Somalia to the northeast, Tanzania to the south, Uganda to the west, and South Sudan to the northwest.
Estimated national average yearly salary is 869,520 KES (6,000 USD). Value indicated is pre-tax. Below graph shows estimated Business Intelligence Consultant job salary compared to average salary in Kenya.
Comparison shows that a person working as Business Intelligence Consultant in Kenya earns on average:
1.77 times the average salary (or 177% of average salary).
Estimated national average yearly salary is 869,520 KES (6,000 USD). Value indicated is pre-tax. Below graph shows estimated Business Intelligence Consultant job salary compared to average salary in Kenya.
Comparison shows that a person working as Business Intelligence Consultant in Kenya earns on average:
1.77 times the average salary (or 177% of average salary).
Is Business Intelligence Consultant a well paid job?
Yes, our data shows that Business Intelligence Consultant 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 Consultant?
High salary for Business Intelligence Consultant would be somewhere between 1,693,228 KES and 2,231,982 KES. However this is an estimation based on Gaussian Distribution.How much can you save working as Business Intelligence Consultant 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: 1,539,298 KES
Estimated Monthly Salary: 128,275 KES
Estimated Weekly Salary: 29,602 KES per week
Estimated Hourly Salary: 740 KES per hour
By working as Business Intelligence Consultant a person can save up to 573 USD per month or 6,877 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 Consultant
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
- 6 to 10 years of experience yields
- 11 to 15 years of experience yields
- 16 to 25 years of experience yields
- more than 25 years of experience yields
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Random salary:
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Salary details displayed on optisalary.com are meant for reference purposes only. Our data is sourced through various sources and may not always be up to date. Users must verify salary information through other means before making financial commitments. The figures listed here may change due to factors such as company policies, experience levels, and demand shifts. We do not warrant that the information provided is flawless. By accessing optisalary.com, you accept that salary information is offered 'as is' and without assurances.