Data Analyst

Data Analyst Job Profile

What Is a Data Analyst?

Data Analysts serve as data experts within a company. They capture and analyse large amounts of data using a wide range of IT tools — including big data technologies and advanced techniques from machine learning (ML) and artificial intelligence (AI). The results are then appropriately prepared and presented.

Based on this data, the Data Analyst develops recommendations for action. The specific focus varies depending on the industry and business field, but Data Analysts consistently establish the prerequisites for data-driven decision-making at both operational and strategic levels of the company.

A data expert of this kind is particularly in demand in companies where large amounts of usable data are generated — primarily technology and industrial companies, but also marketing agencies and insurance companies.

What Tasks Does a Data Analyst Have?

The daily work of a Data Analyst is diverse and varied. All tasks share one commonality: they involve the collection, analysis, and evaluation of data. The Data Analyst is involved in the entire data chain process — from identifying and structuring raw data to preparing, analysing, and presenting it in a meaningful way.

The most relevant tasks include:

• Collecting and grouping data
• Applying methods for systematic data collection and analysis
• Building and maintaining data sets and databases
• Linking internal and external data
• Making targeted use of ETL methods (Extract, Transform, Load)
• Transforming unstructured data into analysable formats
• Conducting A/B tests to identify trends
• Applying statistical methods to determine key figures
• Preparing results in graphical or tabular form with documentation
• Developing topic-specific recommendations from analysis results
• Presenting findings and advising stakeholders

What Skills Does a Data Analyst Need?

Technical:

• Proficiency in SQL, Python, and/or R for data manipulation and analysis
• Experience with data visualisation tools (Tableau, Power BI, Looker)
• Knowledge of ETL processes and data pipeline management
• Understanding of statistical methods and probability theory
• Familiarity with big data technologies and cloud platforms
• Experience with machine learning concepts (increasingly required)

Soft skills:

• Analytical and critical thinking — identifying patterns and anomalies
• Communication — translating complex data into clear, actionable insights
• Consultancy orientation — working closely with stakeholders across departments
• Attention to detail and methodological rigour
• Curiosity and willingness to learn new tools and techniques

How to Become a Data Analyst

A degree in mathematics, statistics, computer science, business informatics, or a related field provides the ideal foundation. Many successful Data Analysts also enter the field from other quantitative disciplines combined with practical experience in data tools.

Certifications in tools such as Tableau, Google Data Analytics, or Microsoft Power BI, as well as proficiency in Python or R, are increasingly valued by employers. Practical projects — including personal data analysis portfolios — can significantly strengthen a candidate’s profile.

What Does a Data Analyst Earn?

Data Analyst salaries in Germany range from approximately €45,000 to €65,000 per year. Entry-level positions typically start around €40,000–€45,000, while experienced analysts in senior roles or specialised domains such as machine learning can earn €70,000 and above. Technology, financial services, and consulting firms tend to offer the highest compensation.