Quality Data Analyst salary in Kenya

Average Yearly Salary of Quality Data Analyst in Kenya is approximately 1,023,992 KES (6,473 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 Quality Data Analyst do?

A quality data analyst is responsible for analyzing and interpreting large sets of data to identify trends, patterns, and insights that can improve the quality and efficiency of a company's products or services. They collect and analyze data from various sources, develop and implement data collection systems, and create reports and visualizations to present their findings to stakeholders. The role requires strong analytical skills, attention to detail, and the ability to work with complex datasets. Quality data analysts also collaborate with cross-functional teams to develop strategies for process improvement and quality control. They may use statistical software and programming languages to manipulate and analyze data, and they must stay updated with industry trends and best practices in data analysis.

Skills: Quality Data Analyst, Data Analysis, Statistical Analysis, Process Improvement, Quality Control, Data Visualization
Job industry: Manufacturing

How much does Quality 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 Quality Data Analyst a well paid job?

Yes, our data show that Quality Data 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 Quality Data Analyst?

High salary for Quality Data Analyst would be somewhere between 1,126,391 KES and 1,484,788 KES. However this is an estimation based on Gaussian Distribution.

How much can you save working as Quality 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: 1,023,992 KES
Estimated Monthly Salary: 85,333 KES
Estimated Weekly Salary: 19,692 KES per week
Estimated Hourly Salary: 492 KES per hour
By working as Quality Data Analyst a person can save up to 299 USD per month or 3,593 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 Quality 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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