Business Intelligence Analyst
Düsseldorf, Nordrhein-Westfalen / €60000 - €85000
€60000 - €85000
Business Intelligence Analyst
Keywords: Data Analytics, Analytics Consulting, Python, SQL, Tableau, QlikSense, R
Location: Dusseldorf Germany (On-Site/Hybrid/Remote)
Our client is a successful Dusseldorf-based company in the retail and e-commerce industry. They are currently growing their entire analytics department and bringing on exciting new projects in digital analytics and business intelligence.
The Role and tasks/responsibilities
A Business Intelligence Analyst is a professional who works with data to help organizations make informed business decisions. They use various tools and techniques to collect, analyze, and interpret data to identify trends, patterns, and insights that can be used to improve business performance.
Some of the key responsibilities of a Business Intelligence Analyst include:
- Collecting and organizing data from various sources, such as databases, spreadsheets, and other data repositories.
- Analyzing data to identify trends, patterns, and insights.
- Creating reports and dashboards to communicate insights and recommendations to stakeholders.
- Working closely with other departments and stakeholders to understand their data needs and provide data-driven solutions.
- Identifying opportunities for process improvements and optimization based on data analysis.
- Ensuring data quality and accuracy, and maintaining data integrity and security.
To be a successful Business Intelligence Analyst, you should have a strong background in data analysis and statistics, as well as experience with data visualization tools and techniques. You should also be able to communicate effectively with stakeholders and have a strong understanding of business operations and objectives.
YOUR SKILLS & EXPERIENCE:
- A background in IT, mathematics, or statistics (university degree, vocational training, or comparable practical
- Fluent in German and English
- At least 4 years of Experience in Business Intelligence
- Great communication skills
- A passion for Data
- Strong analytical and conceptual thinking skills
Attractive remuneration model
Hybrid working & flexible working hours
Open feedback culture
Job bike & job ticket
Working with the latest technologies
Unforgettable team events with events abroad
Own further education program
Subsidized sports activities
Healthy snacks & fresh fruit
How to apply
Please register your interest by sending your CV to Donal Leahy via the Apply link on this page.
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