Wms Analyst salary in Kenya

Average Yearly Salary of Wms Analyst in Kenya is approximately 1,014,210 KES (6,418 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 Wms Analyst do?

A WMS (Warehouse Management System) analyst is responsible for managing and optimizing the warehouse operations of an organization. They are responsible for analyzing and improving the efficiency of the warehouse processes, inventory management, and order fulfillment. The WMS analyst works closely with cross-functional teams to identify areas of improvement and develop strategies to enhance productivity, accuracy, and cost-effectiveness. This role involves analyzing data from the WMS, generating reports, and presenting findings to management. The analyst also collaborates with IT teams to troubleshoot system issues, implement upgrades, and ensure smooth functionality of the WMS. Additionally, they may be involved in training warehouse staff on the proper use of the system and providing ongoing support.

Skills: WMS analyst, Warehouse management, Inventory management, Data analysis, Process optimization, Cross-functional collaboration.
Job industry: Logistics

How much does Wms 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 Wms Analyst a well paid job?

Yes, our data show that Wms Analyst 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 Wms Analyst?

High salary for Wms Analyst would be somewhere between 1,115,631 KES and 1,470,605 KES. However this is an estimation based on Gaussian Distribution.

How much can you save working as Wms 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: 1,014,210 KES
Estimated Monthly Salary: 84,518 KES
Estimated Weekly Salary: 19,504 KES per week
Estimated Hourly Salary: 488 KES per hour
By working as Wms Analyst a person can save up to 295 USD per month or 3,538 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 Wms 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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