Data Analyst
In the information age, the role of the data analyst is becoming increasingly critical. The main challenges are the explosion in the volume of data (Big Data) and the need to efficiently process, interpret and transform it into valuable business insights. The growing importance of artificial intelligence and machine learning in data analysis further raises the bar, requiring analysts to understand these technologies. The ability to not only technically process data, but also to visualize it and convincingly "tell a story with data" (data storytelling) in order to communicate conclusions to stakeholders, often non-technical ones, is becoming crucial.
Featured Trainings
Data Analyst (Data Analyst): Contemporary Challenges and Key Competencies (Outlook 2025+)
In the information age, the role of the data analyst is becoming increasingly critical. The main challenges are the explosion in the volume of data (Big Data) and the need to efficiently process, interpret and transform it into valuable business insights. The growing importance of artificial intelligence and machine learning in data analysis further raises the bar, requiring analysts to understand these technologies. The ability to not only technically process data, but also to visualize it and convincingly "tell a story with data" (data storytelling) in order to communicate conclusions to stakeholders, often non-technical ones, is becoming crucial.
Necessary technical skills include proficiency in SQL, programming languages such as Python or R, support for business intelligence tools (e.g. Power BI, Tableau), knowledge of cloud platforms (AWS, Azure, GCP) and ETL tools. Equally important are analytical competencies: critical thinking, problem-solving skills and a solid foundation in statistics. In the area of soft skills, communication skills, curiosity, attention to detail, and an understanding of ethics and data privacy, including regulations such as RODO/GDPR, come to the fore.
The role of the data analyst is evolving from someone who merely processes numbers to a strategic business partner who translates data into action and value. "AI and big data" are at the top of the list of most desirable skills according to WEF , highlighting the strategic importance of the role.
Recommended EITT Trainings
- BIG DATA - data science (Basic Level)
- Introduction to data analysis with R language
- Introduction to Python for data analysts
- MS PowerBI Desktop
- Power BI Desktop from A to Z
- Tableau basics
- MonetDB - analytical database
- Databricks - unified data analytics
- AWS Technical Essentials
- Data Warehousing on AWS
- Fundamentals of artificial intelligence (AI) and machine learning
- MS PowerBI Desktop
- BIG DATA - data science (Basic Level)
- Introduction to data analysis with R language
- Introduction to Python for data analysts
- MS PowerBI Desktop
- Power BI Desktop from A to Z
- MonetDB - Analytical Database
- Databricks - unified data analytics
- AWS Technical Essentials
- Data Warehousing on AWS
- Fundamentals of artificial intelligence (AI) and machine learning
Rationale
In-depth knowledge of tools, data analysis techniques and supporting technologies is the foundation of an effective data analyst and engineer.
Recommended EITT Trainings
- The art of convincing with data: Effective data storytelling
- From analyst to strategist - how to use data to create strategic plans
- Effective communication between business and IT
- Business analysis basics
- AI Act regulations in business practice
- The art of convincing with data: Effective data storytelling
- From analyst to strategist - how to use data to create strategic plans
- Effective communication between business and IT
- Requirements analysis
- AI Act regulations in business practice
Rationale
Combining advanced analytical skills with competencies in strategic thinking, effective communication, and an understanding of the business and regulatory context allows the data analyst to become a key partner to the business, actively influencing strategic decision-making. Understanding regulations (e.g., AI Act, RODO) is essential when working with data and AI models, ensuring compliance and ethical conduct.
Optional EITT Supplemental Modules for the Data Analyst
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