Taxonomy Analyst salary in Argentina

Average Yearly Salary of Taxonomy Analyst in Argentina is approximately 4,168,926 ARS (13,897 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 Taxonomy Analyst do?

A taxonomy analyst is responsible for organizing and classifying information within a system or database. They analyze data, develop taxonomies, and create classification schemes to ensure efficient information retrieval and management. This occupation requires strong analytical skills, attention to detail, and a deep understanding of information organization principles. The taxonomy analyst collaborates with various stakeholders to understand their information needs and to design taxonomies that align with the organization's goals. They conduct research, review existing taxonomies, and make recommendations for improvements. They also develop and implement metadata standards, ensuring consistent and accurate tagging of content.

Skills: taxonomy analyst, information organization, data classification, metadata standards, information retrieval, taxonomy development.
Job industry: Finance

How much does Taxonomy Analyst make?

Difference in salary year over year or average salary increase is approximately 3 %


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Salary comparison to National average

Is Taxonomy Analyst a well paid job?

Yes, our data shows that Taxonomy 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 Taxonomy Analyst?

High salary for Taxonomy Analyst would be somewhere between 4,585,819 ARS and 6,044,943 ARS. However this is an estimation based on Gaussian Distribution.

How much can you save working as Taxonomy Analyst in Argentina?

Living in Argentina the approximate monthly expenses are: 465 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: 4,168,926 ARS
Estimated Monthly Salary: 347,411 ARS
Estimated Weekly Salary: 80,172 ARS per week
Estimated Hourly Salary: 2,004 ARS per hour
By working as Taxonomy Analyst a person can save up to 693 USD per month or 8,319 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 Argentina, see costs of living in Argentina.

Salary comparison to region and neighbouring coutries

Country's neighbours are: Brazil, Uruguay, Paraguay, Bolivia, Chile.
To make it easier for comparison a conversion from local currency to USD has been made (conversion rates may vary).

Estimated Yearly Salary for Taxonomy 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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