Business Intelligence Consultant salary in Cameroon

Average Yearly Salary of Business Intelligence Consultant in Cameroon is approximately 1,752,779 XAF (2,705 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?

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.

Skills: Business Intelligence, Data Analysis, Data Visualization, Data Modeling, Decision-making, Performance Measurement
Job industry: Information technology

How much does Business Intelligence Consultant make?

Difference in salary year over year or average salary increase is approximately 4 %


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Salary comparison to National average

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 1,928,057 XAF and 2,541,530 XAF. However this is an estimation based on Gaussian Distribution.

How much can you save working as Business Intelligence Consultant in Cameroon?

Living in Cameroon the approximate monthly expenses are: 66 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: 1,752,779 XAF
Estimated Monthly Salary: 146,065 XAF
Estimated Weekly Salary: 33,707 XAF per week
Estimated Hourly Salary: 843 XAF per hour
By working as Business Intelligence Consultant a person can save up to 159 USD per month or 1,908 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 Cameroon, see costs of living in Cameroon.

Salary comparison to region and neighbouring coutries

Country's neighbours are: Nigeria, Chad, Central African Republic, Equatorial Guinea, Gabon, Congo, The Democratic Republic of the Congo..
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

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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