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Online Marketing Data Analyst salary in Philippines

Average Yearly Salary of Online Marketing Data Analyst in Philippines is approximately 287,040 PHP (4,780 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 Online Marketing Data Analyst do?

occupation personasAn online marketing data analyst is responsible for analyzing and interpreting data related to online marketing campaigns. They collect, organize, and analyze data from various online marketing platforms such as websites, social media, email marketing, and advertising campaigns. The main objective of this role is to identify trends, patterns, and insights from the data to optimize marketing strategies and improve overall performance. The online marketing data analyst uses tools and techniques like data mining, statistical analysis, and predictive modeling to extract meaningful information from large datasets. They provide valuable insights and recommendations to the marketing team, helping them make informed decisions and drive marketing efforts in the right direction. This role requires strong analytical skills, proficiency in data analysis tools such as Google Analytics or Adobe Analytics, and a good understanding of online marketing concepts and strategies.

Skills: online marketing, data analysis, data mining, statistical analysis, marketing optimization, data-driven decision making
Job industry: Marketing


How much does Online Marketing Data Analyst make?

Salary details
How much does Online Marketing Data Analyst make?
Estimated Yearly Salary: 287,040 PHP
Estimated Monthly Salary: 23,920 PHP
Estimated Weekly Salary: 5,520 PHP per week
Estimated Hourly Salary: 138 PHP per hour
Values are pre-tax
Last revision of data: 2025-01-04

Comparing salary to last year:
Estimated Yearly Salary: 276,420 PHP
Estimated Monthly Salary: 23,035 PHP
Estimated Weekly Salary: 5,316 PHP per week
Estimated Hourly Salary: 133 PHP per hour
Last revision of data: 2024-01-09



Online Marketing Data Analyst estimated salary in USD
For easier comparison here is an estimated salary in USD:
Estimated Yearly Salary: 4,780 USD
Estimated Monthly Salary: 398 USD
Estimated Weekly Salary: 92 USD per week
Estimated Hourly Salary: 2 USD per hour


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

About these results Data confidence is - relatively high
Data fetched from dabase: 14 submissions.
Results are anonymized. Amounts indicated are pre-tax, meaning no deductionts yet have been made to the basic salary. Salaries where there are less than 3 entries are not displayed.

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Salary comparison to National average

The Philippines is an archipelagic country located in Southeast Asia. It is composed of more than 7,000 islands and has a total land area of approximately 300,000 square kilometers. The population of the Philippines is around 110 million people, making it the 13th most populous country in the world. The capital city is Manila, which is one of the most densely populated cities globally.

Estimated national average yearly salary is 218,988 PHP (3,950 USD). Value indicated is pre-tax. Below graph shows estimated Online Marketing Data Analyst job salary compared to average salary in Philippines.
Comparison shows that a person working as Online Marketing Data Analyst in Philippines earns on average:
1.31 times the average salary (or 131% of average salary).

Is Online Marketing Data Analyst a well paid job?

Yes, our data shows that Online Marketing Data 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 Online Marketing Data Analyst?

High salary for Online Marketing Data Analyst would be somewhere between 315,744 PHP and 416,208 PHP. However this is an estimation based on Gaussian Distribution.

How much can you save working as Online Marketing Data Analyst in Philippines?

Living in Philippines the approximate monthly expenses are: 158 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: 287,040 PHP
Estimated Monthly Salary: 23,920 PHP
Estimated Weekly Salary: 5,520 PHP per week
Estimated Hourly Salary: 138 PHP per hour
By working as Online Marketing Data Analyst a person can save up to 240 USD per month or 2,884 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 Philippines, see costs of living in Philippines.

Salary comparison to region and neighbouring coutries

Country's neighbours are: China, Taiwan, Vietnam, Malaysia, Indonesia, Brunei..
To make it easier for comparison a conversion from local currency to USD has been made (conversion rates may vary).

Estimated Yearly Salary for Online Marketing Data Analyst

China is 15,521 USDup arrow 225%
Details on Online Marketing Data Analyst salary in China
Vietnam is 4,827 USDup arrow 1%
Details on Online Marketing Data Analyst salary in Vietnam
Malaysia is 21,527 USDup arrow 350%
Details on Online Marketing Data Analyst salary in Malaysia
Indonesia is 12,813 USDup arrow 168%
Details on Online Marketing Data Analyst salary in Indonesia
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 up arrow+12% salary increase
    6 to 10 years of experience yields up arrow+25% salary increase
    11 to 15 years of experience yields up arrow+16% salary increase
    16 to 25 years of experience yields up arrow+9% salary increase
    more than 25 years of experience yields up arrow+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.

Top 10 highest salaries in Philippines

(2,481,728 PHP per year, pre-tax.)
(2,051,118 PHP per year, pre-tax.)
(1,992,718 PHP per year, pre-tax.)
(1,926,350 PHP per year, pre-tax.)
(1,926,277 PHP per year, pre-tax.)
(1,880,648 PHP per year, pre-tax.)
(1,878,914 PHP per year, pre-tax.)
(1,877,420 PHP per year, pre-tax.)
(1,875,578 PHP per year, pre-tax.)
(1,874,981 PHP per year, pre-tax.)

Data as of 2025

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This website presents salary insights for educational purposes only.
This website compiles salary data for educational use only. While we strive to present correct estimates, we do not ensure their full precision. Users are highly encouraged to check with other databases before finalizing financial plans. Salary figures fluctuate based on multiple factors, such as industry trends, negotiation power, and regional demand. We make no guarantees as to the correctness of the listed information. Your access of this site indicates agreement of this disclaimer.
The salary data on this site is designed for informational purposes exclusively. We offer salary insights based on multiple datasets, but do not guarantee complete accuracy. Users should always cross-check salary details with other reliable sources before making financial decisions. Variations in salary amounts may arise due to various circumstances, including location, experience, and industry. We do not offer any guarantee regarding the completeness of the displayed salary data. Use of this website implies acknowledgment of these terms.