Medical Claims Analyst salary in Kenya

Average Yearly Salary of Medical Claims Analyst in Kenya is approximately 708,047 KES (4,464 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 Medical Claims Analyst do?

A medical claims analyst is responsible for reviewing and processing healthcare insurance claims. They analyze documents, such as medical records and insurance policies, to ensure accuracy and compliance with regulations. Their main tasks include verifying patient information, assessing the validity of claims, determining coverage eligibility, and calculating reimbursement amounts. They collaborate with healthcare providers, insurance companies, and patients to resolve any discrepancies or issues related to claims. Additionally, they may assist in identifying fraudulent claims and implementing strategies to prevent fraud. The role requires strong attention to detail, analytical skills, and knowledge of medical coding and billing procedures. Effective communication and problem-solving abilities are essential to effectively navigate complex insurance policies and resolve claim-related disputes.

Skills: medical claims, healthcare insurance, claims processing, reimbursement, fraud prevention, medical coding
Job industry: Healthcare

How much does Medical Claims Analyst make?

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


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Salary comparison to National average

Is Medical Claims Analyst a well paid job?

No / we do not have enough data to assess this.

What is considered a high salary for Medical Claims Analyst?

High salary for Medical Claims Analyst would be somewhere between 778,852 KES and 1,026,668 KES. However this is an estimation based on Gaussian Distribution.

How much can you save working as Medical Claims 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: 708,047 KES
Estimated Monthly Salary: 59,004 KES
Estimated Weekly Salary: 13,616 KES per week
Estimated Hourly Salary: 340 KES per hour
By working as Medical Claims Analyst a person can save up to 132 USD per month or 1,584 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 Medical Claims 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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