Data Analyst (f/m/d)

at  Siempelkamp Maschinen und Anlagenbau GmbH

Your tasks

• Work together with the core development and data analytics team in providing data driven insights.
• Analysis and interpretation of the data architecture.
• Perform data analytics on large datasets.
• Develop AI-based solutions on IoT sensor data (time-series data).
• Research and documentation of methods/tasks presented.
• Interaction with cloud-based technologies and implementation of automated routines/pipelines.

ABOUT THE JOB:

We are looking for a Data Analyst who can strengthen our core team related to Digital Solutions and
Data Analytics. The role requires you to wear multiple hats in the field of data science throughout
your tenure. It implies, you have hands-on over data engineering, data warehousing, data analytics,
machine learning engineering and visualization of the data. You help us in developing AI-based
solutions (Cloud/On-premise), also thereby building user-interactive dashboards.

Your qualifications

• Data Architecture analysis: Analyse the underlying data architecture of our product.
• Data Collection: Be familiar with the extraction and collection of data across multiple data sources.
• Data Storage: Be familiar with organizing the data in the form of data lake / data warehouse.
• Data Analytics: Analyse large time-series datasets using statistical or ML approaches to identify trends, patterns or correlations that contribute to meaningful insights.
• Data Reporting: Design and deliver the analysed data in an interactive way using dashboards.
• Automation and Optimization: Identify and contribute for automation and optimization to improve underlying technologies.
• Collaborative projects: Collaborate with cross-functional teams to understand their data needs and provide them with analytical support

Your profile

• Master’s degree in Computer Science, Data Science, Statistics or a related field.
• Practical hands-on experience on databases (SQL/NoSQL), time-series databases would be a great add-on.
• Proficiency in data manipulation and analysis using programming languages such as Python (Pandas, Numpy, Matplotlib, etc.).
• Familiarity with statistical analysis, ML based solutions (predictive modelling).
• Familiarity with cloud-based solutions (Azure is preferred).
• Analytical skills to understand the need and derive data-driven solutions.
• Knowledge on data visualization tools such as Power BI, Grafana, Tableau is a plus.
• Knowledge of SQL or other DBMS systems is a plus.
• Knowledge of Big-Data solutions is a plus.

• Work together with the core development and data analytics team in providing data driven insights.
• Analysis and interpretation of the data architecture.
• Perform data analytics on large datasets.
• Develop AI-based solutions on IoT sensor data (time-series data).
• Research and documentation of methods/tasks presented.
• Interaction with cloud-based technologies and implementation of automated routines/pipelines