Senior Data Analyst (REF4032E)

Responsibilities:

  • Data Modeling: Creating and editing complex data models.
  • Data Analysis: Evaluating and interpreting large datasets to support informed business decisions.
  • Report Creation: Designing and creating detailed reports.
  • Process Optimization: Identifying areas for continuous improvement in business processes.
  • SQL Skills: Applying advanced SQL skills for data processing.
  • Presentation: Presenting analysis results and reports to stakeholders.
  • Data Visualization: Using tools for exploratory analysis and visualization of business processes.
  • Data Collection, Aggregation, and Preparation: Ability to identify data sources and collect and structure the necessary data.
  • Connecting Data Sources: Using programs like MySQL, SAP HANA DB, Access, and Excel.
  • Development of Data Transformations: Applying Python (e.g., numpy), SQL, or similar tools for data transformation.
  • Report Generation: Using Power BI and SAP Analytics Cloud for reporting.
  • Programming Skills: Programming knowledge in Python, especially regarding projects within T-Digital, is advantageous.
  • AI Knowledge: Basic knowledge of Artificial Intelligence is required.

Additional Tasks:

  • Data Identification: The person should be familiar with Telekom’s booking systems, understand the data contained in them, what it means, and how they are interconnected (e.g., how to track a booking across different systems using various identifiers).
  • Interfaces: Ideally, the person knows the interfaces to these systems and how to extract data from them.
  • Data Storage in a Data Warehouse: Knowledge of how to store such data in a data warehouse.
  • Data "Refinement": Familiarity with systems where dashboards can be built, such as MS Power BI.
  • Collecting Requirements: Gathering requirements from different groups (Management, Product Managers, FC, etc.) on what data is needed from processes.
  • Dashboard Creation: Creating dashboards based on data from the data warehouse and making them available to stakeholders.
  • Dashboard Maintenance/Updates: Developing and updating dashboards, collecting requirements, and implementing them.

Requirements:

  • Education: Completed studies in Business Informatics, Statistics, Mathematics, or a related field.
  • Experience: Professional experience as a Data Analyst or in a similar field.
  • Knowledge: Solid knowledge of SQL, Python, R, and other relevant data analysis tools, as well as Power BI and SAP Analytics Cloud.
  • Skills: Strong analytical skills and problem-solving abilities.
  • Communication: Excellent presentation and communication skills to explain complex results clearly.
  • Teamwork: Ability to collaborate in interdisciplinary teams.
  • Language: Knowledge of German is beneficial, but not mandatory.

* Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.

The largest ICT employer in Hungary, Deutsche Telekom IT Solutions (formerly IT-Services Hungary, ITSH) is a subsidiary of the Deutsche Telekom Group. Established in 2006, the company provides a wide portfolio of IT and telecommunications services with more than 5000 employees. ITSH was awarded with the Best in Educational Cooperation prize by HIPA in 2019, acknowledged as one of the most attractive workplaces by PwC Hungary’s independent survey in 2021 and rewarded with the title of the Most Ethical Multinational Company in 2019. The company continuously develops its four sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals to join its team.  

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Salary
980 000 Ft – 1 520 000 Ft per month
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