Data Analyst Iii salary in Portugal

Average Yearly Salary of Data Analyst Iii in Portugal is approximately 39,736 EUR (39,598 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 Iii do?

A Data Analyst III is an experienced professional responsible for analyzing complex datasets to identify trends, patterns, and insights that drive business decisions. They work with large volumes of data from various sources, using advanced analytical techniques and tools to extract meaningful information. Their role involves designing and implementing data models, developing algorithms, and creating visualizations to communicate findings effectively. Data Analyst IIIs collaborate closely with stakeholders, such as managers and executives, to understand business requirements and provide data-driven recommendations. They are proficient in programming languages like Python or R and have expertise in statistical analysis and data mining techniques. Strong problem-solving skills, attention to detail, and the ability to work independently are essential qualities for this role.

Skills: Data Analysis, Data Mining, Statistical Analysis, Data Modeling, Data Visualization, Programming
Job industry: Data analysis

How much does Data Analyst Iii 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 Iii a well paid job?

Yes, our data shows that Data Analyst Iii 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 Iii?

High salary for Data Analyst Iii would be somewhere between 43,710 EUR and 57,617 EUR. However this is an estimation based on Gaussian Distribution.

How much can you save working as Data Analyst Iii in Portugal?

Living in Portugal the approximate monthly expenses are: 1,032 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: 39,736 EUR
Estimated Monthly Salary: 3,311 EUR
Estimated Weekly Salary: 764 EUR per week
Estimated Hourly Salary: 19 EUR per hour
By working as Data Analyst Iii a person can save up to 2,268 USD per month or 27,214 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 Portugal, see costs of living in Portugal.

Salary comparison to region and neighbouring coutries

Country's neighbours are: Spain, orra.
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 Iii

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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