Sas Analyst salary in Kenya

Average Yearly Salary of Sas Analyst in Kenya is approximately 1,252,860 KES (7,929 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 Sas Analyst do?

A SAS analyst is a professional who specializes in using SAS software to analyze and interpret data. They work with large datasets, extracting relevant information, and performing statistical analysis to identify patterns, trends, and insights. SAS analysts are proficient in programming languages like SAS, SQL, and Python to manipulate and clean data, create reports, and develop models for forecasting and predictive analytics. They collaborate with stakeholders from different departments to understand their requirements and provide actionable recommendations based on data analysis. SAS analysts also play a crucial role in data visualization, presenting complex information in a clear and concise manner through charts, graphs, and dashboards. This occupation requires strong analytical skills, attention to detail, and the ability to work with complex data structures.

Skills: SAS analyst, data analysis, statistical analysis, programming, predictive analytics, data visualization
Job industry: Information technology

How much does Sas 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 Sas Analyst a well paid job?

Yes, our data shows that Sas 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 Sas Analyst?

High salary for Sas Analyst would be somewhere between 1,378,146 KES and 1,816,647 KES. However this is an estimation based on Gaussian Distribution.

How much can you save working as Sas 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: 1,252,860 KES
Estimated Monthly Salary: 104,405 KES
Estimated Weekly Salary: 24,093 KES per week
Estimated Hourly Salary: 602 KES per hour
By working as Sas Analyst a person can save up to 421 USD per month or 5,049 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 Sas 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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