Web Analyst salary in Kenya

Average Yearly Salary of Web Analyst in Kenya is approximately 1,295,149 KES (8,165 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 Web Analyst do?

A web analyst is a professional who collects and analyzes data related to website performance, user behavior, and online marketing campaigns. They use various tools and techniques to gather data such as web analytics software, heatmaps, and user surveys. The primary goal of a web analyst is to provide insights and recommendations to improve website usability, increase conversion rates, and optimize digital marketing strategies. Web analysts are responsible for tracking key metrics such as website traffic, bounce rates, click-through rates, and conversion rates. They analyze this data to identify trends, patterns, and areas of improvement. They also conduct A/B testing to compare different versions of web pages and measure their effectiveness. Additionally, web analysts collaborate with other teams such as marketing, design, and development to implement changes and monitor their impact.

Skills: Web Analyst, Data Analysis, Website Performance, User Behavior, Digital Marketing, Conversion Optimization.
Job industry: Technology

How much does Web 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 Web Analyst a well paid job?

Yes, our data shows that Web 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 Web Analyst?

High salary for Web Analyst would be somewhere between 1,424,664 KES and 1,877,966 KES. However this is an estimation based on Gaussian Distribution.

How much can you save working as Web 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: 1,295,149 KES
Estimated Monthly Salary: 107,929 KES
Estimated Weekly Salary: 24,907 KES per week
Estimated Hourly Salary: 623 KES per hour
By working as Web Analyst a person can save up to 440 USD per month or 5,285 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 Web 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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