Data Analyst – m/f/d

Jobtailor; Rostock; Vor Ort; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

Jobtailor in Rostock, Germany seeks a data engineer/BI specialist to move and transform data through ETL, build and optimize data warehouse structures, and design meaningful Power BI dashboards. You will analyze data, develop data models, and leverage Microsoft Fabric for centralized platforms.

The role emphasizes data-driven decision making, collaboration with cross-functional teams, and using AI-enabled patterns to deliver business value. Fluency in German is required.

Qualifikationen

• Degree in Business Informatics, Computer Science, Technical Business Administration or a comparable qualification in Informatics, Data Science, Statistics or Mathematics.
• Confident skills in SQL (queries, optimization, development).
• Experience in building data warehouse structures (Star Schema, Snowflake).
• Practical experience with Power BI (data models, DAX, visualization).
• Initial experience with ETL processes; beneficial: exposure to Microsoft Fabric or similar platforms.
• Strong communication skills, hands-on mentality, problem-solving ability, team spirit and initiative.
• Very good German language skills.

Aufgaben

• Move & transform data: Extraction, transformation and loading (ETL) of data from various sources.
• Data warehousing: Build and enhance data warehouse solutions, from small systems to a central platform on Microsoft Fabric
• Analyze & visualize: Conduct data analyses and design meaningful reports and dashboards
• Build structures & models: Support the development of data models and structures for optimal data processing
• Work with AI: Use modern technologies for data analysis and pattern recognition
• Enable data-driven decisions: Collaborate with different teams to create real business value from data

Kenntnisse

ETL Processes

Data Warehousing

SQL Development

Data Modeling

Data Analysis

Strong Communication

Ausbildung

Degree in Business Informatics / Computer Science / Technical Business Administration

Tools

Power BI

Microsoft Fabric

Jobbeschreibung

• Move & transform data: Extraction, transformation and loading (ETL) of data from various sources
• Data warehousing: Build and enhance data warehouse solutions, from small systems to a central platform on Microsoft Fabric
• Analyze & visualize: Conduct data analyses and design meaningful reports and dashboards
• Build structures & models: Support the development of data models and structures for optimal data processing
• Work with AI: Use modern technologies for data analysis and pattern recognition
• Enable data-driven decisions: Collaborate with different teams to create real business value from data

Requirements

• Degree in Business Informatics, Computer Science, Technical Business Administration or a comparable qualification in Informatics, Data Science, Statistics or Mathematics
• Confident skills in SQL (queries, optimization, development)
• Experience in building data warehouse structures (Star Schema, Snowflake)
• Practical experience with Power BI (data models, DAX, visualization)
• Initial experience with ETL processes; beneficial: exposure to Microsoft Fabric or similar platforms
• Strong communication skills, hands-on mentality, problem-solving ability, team spirit and initiative
• Very good German language skills

Core Competencies

Demonstrates expertise in ETL processes, data warehousing, and data analysis, with a strong focus on building data models and visualizations using Power BI. Proficient in SQL and capable of enabling data-driven decision-making through collaboration and effective communication.

Highest-signal resume keywords

• ETL Processes
• Data Warehousing
• SQL Development
• Power BI Visualization
• Data Analysis

ATS Optimization Keywords

Hard Skills

• ETL
• Data Warehousing
• SQL
• Data Modeling
• Data Analysis

Soft Skills

• Strong Communication Skills
• Problem-Solving Ability
• Team Spirit
• Initiative

Industry Keywords

• Data Science
• Statistics
• Business Informatics
• Computer Science

Tools & Technologies

• Power BI
• Microsoft Fabric