Business Intelligence Specialist salary in Luxembourg

Average Yearly Salary of Business Intelligence Specialist in Luxembourg is approximately 122,680 EUR (122,431 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 Specialist do?

A business intelligence specialist is responsible for analyzing complex data sets and providing actionable insights to drive strategic decision-making within an organization. They gather, organize, and interpret data from various sources, such as sales, marketing, and customer databases, to identify trends, patterns, and opportunities. They design and develop data models, dashboards, and reports to present findings in a clear and concise manner to stakeholders. Additionally, they collaborate with cross-functional teams to define key performance indicators (KPIs) and establish data-driven goals.

Skills: Business Intelligence, Data Analysis, Data Visualization, Strategic Decision-making, Data Modeling, KPIs
Job industry: Information technology

How much does Business Intelligence Specialist 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 Specialist a well paid job?

Yes, our data shows that Business Intelligence Specialist 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 Business Intelligence Specialist?

High salary for Business Intelligence Specialist would be somewhere between 134,948 EUR and 177,886 EUR. However this is an estimation based on Gaussian Distribution.

How much can you save working as Business Intelligence Specialist in Luxembourg?

Living in Luxembourg the approximate monthly expenses are: 3,648 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: 122,680 EUR
Estimated Monthly Salary: 10,223 EUR
Estimated Weekly Salary: 2,359 EUR per week
Estimated Hourly Salary: 59 EUR per hour
By working as Business Intelligence Specialist a person can save up to 6,555 USD per month or 78,655 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 Luxembourg, see costs of living in Luxembourg.

Salary comparison to region and neighbouring coutries

Country's neighbours are: Belgium, Germany, France.
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 Specialist

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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