Data Analysis Consultant salary in Latvia

Average Yearly Salary of Data Analysis Consultant in Latvia is approximately 32,995 EUR (33,023 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 Analysis Consultant do?

A data analysis consultant is a professional who helps organizations make informed decisions by analyzing and interpreting large sets of data. They work closely with clients to understand their business goals and objectives, and then use statistical techniques and software tools to collect, clean, and analyze data. The consultant identifies patterns, trends, and insights from the data, and presents their findings in a clear and meaningful way to stakeholders. They also develop data-driven strategies and provide recommendations to improve business performance and efficiency. Additionally, data analysis consultants may assist in designing and implementing data collection systems and ensuring data quality and integrity.

Skills: data analysis, consultant, statistical analysis, data interpretation, business intelligence, data-driven decision making.
Job industry: Consulting

How much does Data Analysis Consultant 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 Analysis Consultant a well paid job?

Yes, our data shows that Data Analysis Consultant 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 Analysis Consultant?

High salary for Data Analysis Consultant would be somewhere between 36,295 EUR and 47,843 EUR. However this is an estimation based on Gaussian Distribution.

How much can you save working as Data Analysis Consultant in Latvia?

Living in Latvia the approximate monthly expenses are: 860 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: 32,995 EUR
Estimated Monthly Salary: 2,750 EUR
Estimated Weekly Salary: 635 EUR per week
Estimated Hourly Salary: 16 EUR per hour
By working as Data Analysis Consultant a person can save up to 1,892 USD per month or 22,703 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 Latvia, see costs of living in Latvia.

Salary comparison to region and neighbouring coutries

Country's neighbours are: Estonia, Russia, Belarus, Lithuania..
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 Analysis Consultant

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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