Cookie Settings

We use cookies to improve your experience and for marketing. Visit our Cookies Policy to learn more.

12,660,900 Ft

Median Base Salary

How much does a Business Intelligence Manager make in Hungary ?

The base salary for a Business Intelligence Manager in Hungary is 12,660,900 Ft. Also known as: BI Manager, Business Analytics Manager.
Access to more detailed salary information about the role with our salary platform

Start with 1 free search now
12,660,900 Ft

Median Base Salary (percentile 50th)

723 observations

Excellent Confidence

Ft Bonus per year

Ft of Stock

Base salary varies with experience. Register at TalentUp.io platform to learn about associated salaries based on seniority and percentiles. (Updated: Oct. 9, 2024)

Chart

None Ft

Min salary

None Ft

Max salary

Highly supplied position in a highly demanded market

Gender gap

Male

63%

Female

37%

Unbalanced position

Similar positions to

👤 Business Intelligence Manager in 📍 Hungary

Research Analyst

15945746€

Data Quality Specialist

15945746€

Research Manager

15945746€

Data Specialist

15945746€

Data Consultant

15945746€

Database Administrator

15945746€

Business Process Analyst

15945746€

Data Analyst

15945746€

Business Intelligence Developer

15945746€

Data Manager

15945746€

Salary Finder: Your Global Pay Guide 🚀

Search Salaries for Any Role, Anywhere in the World with our Salary Platform

Understand Your Role's Salary in-depth đź’ˇ

Get detailed information on seniority, bonuses, benefits, and pay growth. Register now to get crucial insights!

This is what our customers say about us đź’¬

Compensation transparency and fairness consulting

"I've found TalentUp to be an invaluable tool for salary benchmarking, especially when working with niche roles or unique geographical markets. The data they provide allows me to offer accurate and tailored compensation advice to my clients, complementing other sources. As a reward consultant, I always advise looking at multiple sources to build a full picture of the compensation landscape, and I'm confident to say that TalentUp is one of those sources!"

Avatar

Alistair Fraser

Founder | Justly

Sustainability in global supply chains collaboration

“TalentUp has been a game-changer for us. It provides clear insights that allow us to make well informed and fair compensation decisions. The intuitive interface and comprehensive overviews have become an integral part of our HR operations, ensuring efficiency and consistency across the board”.

Avatar

Alena Vititneva

Compensation and Benefits Manager | idh Trade

Global IT Selection Specialists

"We utilized this tool in assessment and consulting processes for a variety of positions, and the results were really useful. Having a tool that allows us to compare our experience—based on data and historical trends, as well as intuition and personal insights—provides us with great confidence in our recommendations, guaranteeing that we are presenting strong and well-founded solutions."

Avatar

Carles Font

CEO and Partner | Q-tech

Responsibilities: • Develop and maintain a comprehensive business intelligence strategy and roadmap • Design and implement data models, data warehouses, and data marts • Create and maintain ETL processes for data extraction, transformation, and loading • Monitor and analyze data to identify trends and patterns • Prepare reports and data visualizations to present insights • Develop and implement strategies to improve data quality • Collaborate with stakeholders to identify and prioritize data needs • Ensure data security and compliance Requirements: • Bachelor's degree in computer science, engineering, mathematics, or a related field • Minimum of 2 years of experience in data analysis, business intelligence, or a related field • Excellent problem-solving and analytical skills • Strong understanding of data structures and data modeling • Proficiency in SQL and data query languages • Excellent communication and interpersonal skills Preferred Skills: • Knowledge of data mining, machine learning, and artificial intelligence • Experience with data visualization tools, such as Tableau or Power BI • Ability to work with large and complex data sets • Experience with cloud-based data storage solutions, such as AWS or Azure • Knowledge of agile methodology and DevOps

Explore Salary Insights in Detail

Gain comprehensive knowledge about seniority levels, bonuses, benefits, and salary growth trends.