Business Intelligence Manager salary in Thailand

Average Yearly Salary of Business Intelligence Manager in Thailand is approximately 596,055 THB (14,805 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 Business Intelligence Manager do?

A business intelligence manager is responsible for overseeing the collection, analysis, and interpretation of data within an organization to drive strategic decision-making. They work closely with various departments to identify key performance indicators (KPIs) and develop data-driven solutions to improve business operations and achieve organizational goals. The role involves designing and implementing data models, creating reports and dashboards, and ensuring data accuracy and integrity. Business intelligence managers also collaborate with stakeholders to understand their information needs and provide insights and recommendations based on data analysis.

Skills: Business Intelligence, Data Analysis, Data Visualization, Strategic Decision-Making, Data Modeling, Reporting
Job industry: Technology

How much does Business Intelligence Manager make?

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


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Salary comparison to National average

Is Business Intelligence Manager a well paid job?

Yes, our data show that Business Intelligence Manager is a very well paid job. With years and experience the salary might increase even further, resulting in higher satisfaction.

What is considered a high salary for Business Intelligence Manager?

High salary for Business Intelligence Manager would be somewhere between 655,661 THB and 864,280 THB. However this is an estimation based on Gaussian Distribution.

How much can you save working as Business Intelligence Manager in Thailand?

Living in Thailand the approximate monthly expenses are: 289 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: 596,055 THB
Estimated Monthly Salary: 49,671 THB
Estimated Weekly Salary: 11,463 THB per week
Estimated Hourly Salary: 287 THB per hour
By working as Business Intelligence Manager a person can save up to 945 USD per month or 11,335 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 Thailand, see costs of living in Thailand.

Salary comparison to region and neighbouring coutries

Country's neighbours are: Myanmar, Laos, Cambodia, Malaysia.
To make it easier for comparison a conversion from local currency to USD has been made (conversion rates may vary).

Estimated Yearly Salary for Business Intelligence Manager

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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