Sap Data Analyst salary in Kenya

Average Yearly Salary of Sap Data Analyst in Kenya is approximately 1,302,769 KES (8,284 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 Sap Data Analyst do?

A SAP Data Analyst is responsible for analyzing and interpreting data collected from various sources within the SAP system. They play a crucial role in identifying trends, patterns, and insights that can be used to improve business operations and decision-making processes. The occupation involves extracting, transforming, and loading data into the SAP system, as well as creating reports and dashboards to present the findings to stakeholders. SAP Data Analysts also collaborate with other teams to develop strategies for data collection, storage, and analysis, ensuring data integrity and accuracy. They must possess strong analytical skills, proficiency in SAP modules, and the ability to work with large datasets. This occupation requires attention to detail, problem-solving abilities, and a deep understanding of SAP systems and data structures.

Skills: SAP, Data Analyst, Data Analysis, Business Intelligence, SAP Modules, Data Visualization
Job industry: Technology

How much does Sap Data Analyst make?

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


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Salary comparison to National average

Is Sap Data Analyst a well paid job?

Yes, our data shows that Sap Data Analyst 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 Sap Data Analyst?

High salary for Sap Data Analyst would be somewhere between 1,433,046 KES and 1,889,015 KES. However this is an estimation based on Gaussian Distribution.

How much can you save working as Sap Data Analyst 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: 1,302,769 KES
Estimated Monthly Salary: 108,564 KES
Estimated Weekly Salary: 25,053 KES per week
Estimated Hourly Salary: 626 KES per hour
By working as Sap Data Analyst a person can save up to 450 USD per month or 5,404 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 Sap Data Analyst

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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