Emr Analyst salary in Kenya

Average Yearly Salary of Emr Analyst in Kenya is approximately 1,089,667 KES (6,908 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 Emr Analyst do?

An EMR (Electronic Medical Records) Analyst is responsible for managing and analyzing electronic medical records systems within healthcare organizations. They work closely with healthcare professionals, IT teams, and other stakeholders to ensure the efficient and effective use of EMR systems. Their primary tasks include evaluating and implementing EMR software, providing technical support, troubleshooting issues, and ensuring data integrity and security. EMR Analysts also play a crucial role in training healthcare staff on how to use EMR systems effectively and efficiently. They collaborate with vendors to customize and optimize EMR systems based on the organization's specific needs and requirements. Additionally, they monitor and analyze data trends, generate reports, and make recommendations to improve workflows and enhance patient care.

Skills: EMR Analyst, Electronic Medical Records, Healthcare IT, Data Analysis, Technical Support, Workflow Optimization
Job industry: Healthcare

How much does Emr 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 Emr Analyst a well paid job?

Yes, our data shows that Emr 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 Emr Analyst?

High salary for Emr Analyst would be somewhere between 1,198,634 KES and 1,580,017 KES. However this is an estimation based on Gaussian Distribution.

How much can you save working as Emr 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: 1,089,667 KES
Estimated Monthly Salary: 90,806 KES
Estimated Weekly Salary: 20,955 KES per week
Estimated Hourly Salary: 524 KES per hour
By working as Emr Analyst a person can save up to 336 USD per month or 4,028 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 Emr 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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