Senior Data Analyst (REF4032E)

Die Deutsche Telekom IT Solutions (ehemals IT Services Hungary, ITSH) ist Ungarns größter ICT-Arbeitgeber und ein Mitglied der Deutschen Telekom Gruppe. Das 2006 gegründete Unternehmen mit mehr als 5.000 Mitarbeitern bietet eine breite Palette von IT- und Telekommunikationsdienstleistungen an. Im Jahr 2019 gewann das Unternehmen den Preis der Nationalen Investitionsagentur (HIPA) für die beste Bildungskooperation, wurde laut der unabhängigen Umfrage von PwC Magyarország zu den attraktivsten Arbeitsplätzen in Ungarn gezählt und zum ethischsten multinationalen Unternehmen gewählt. Das Unternehmen baut seine vier Standorte in Budapest, Debrecen, Pécs und Szeged kontinuierlich aus und sucht qualifizierte IT-Fachleute zur Verstärkung seines Teams.

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.