Junior Data Analyst (Cognos, DB2) - REF3521Y

at  Deutsche Telekom IT Solutions

Company Description
The largest ICT employerin 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 sitesin Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals to join its team.
Job Description

QUALIFICATIONS

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
• 1 years of experience in data analysis and reporting, preferably in the automotive industry.
• Strong proficiency in SQL (DB2) and data visualization tools (Cognos, Power BI).
• Knowledge of data warehousing and ETL processes.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team.

ABOUT THE ROLE

We are seeking a talented Junior Data Analyst to join our team in Automotive Industry. The ideal candidate will have a strong foundation in data analysis and a passion for leveraging data to drive business decisions.

RESPONSIBILITIES:

• Data Analysis and Reporting:
• Conduct data analysis to identify trends, patterns, and insights.
• Develop and maintain data reports using Cognos and Power BI.
• Collaborate with business stakeholders to understand their data needs.
• Data Cleaning and Preparation:
• Cleanse and prepare data for analysis, ensuring data accuracy and consistency.
• Transform and manipulate data using SQL (DB2) queries.
• Data Visualization:
• Create clear and visually appealing data visualizations to communicate insights effectively.
• Process Improvement:
• Identify opportunities to improve data processes and workflows.
• Contribute to the development of data-driven solutions.