Data Analyst Specialist salary in Ghana

Average Yearly Salary of Data Analyst Specialist in Ghana is approximately 56,054 GHS (4,672 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 Data Analyst Specialist do?

A data analyst specialist is responsible for collecting, organizing, and analyzing large sets of data to derive meaningful insights and make informed business decisions. They use various statistical techniques and tools to interpret data, identify patterns, and create visualizations or reports that communicate the findings effectively. Data analyst specialists work closely with stakeholders to understand their requirements, design data collection methods, and ensure data quality and integrity. They also develop and maintain databases and data systems, ensuring data security and privacy compliance. Additionally, they may collaborate with other teams to develop predictive models or machine learning algorithms for forecasting or optimization purposes.

Skills: data analysis, data visualization, statistical analysis, data mining, database management, predictive modeling
Job industry: Data analysis

How much does Data Analyst Specialist make?

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


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Salary comparison to National average

Is Data Analyst Specialist a well paid job?

Yes, our data shows that Data Analyst Specialist 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 Data Analyst Specialist?

High salary for Data Analyst Specialist would be somewhere between 61,659 GHS and 81,278 GHS. However this is an estimation based on Gaussian Distribution.

How much can you save working as Data Analyst Specialist in Ghana?

Living in Ghana the approximate monthly expenses are: 140 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: 56,054 GHS
Estimated Monthly Salary: 4,671 GHS
Estimated Weekly Salary: 1,078 GHS per week
Estimated Hourly Salary: 27 GHS per hour
By working as Data Analyst Specialist a person can save up to 249 USD per month or 2,992 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 Ghana, see costs of living in Ghana.

Salary comparison to region and neighbouring coutries

Country's neighbours are: Burkina Faso, Cote d'Ivoire (Ivory Coast), Togo..
To make it easier for comparison a conversion from local currency to USD has been made (conversion rates may vary).

Estimated Yearly Salary for Data Analyst Specialist

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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