• Accurately enter, update, and maintain large volumes of data within company databases and software systems. • Review and verify information for completeness, accuracy, and compliance with company standards. • Identify and correct data discrepancies, duplicate records, and inconsistencies. • Perform data quality checks and maintain accurate digital records. • Organize, manage, and archive electronic documents and files. • Process customer, vendor, financial, inventory, or operational data as assigned. • Generate reports and summaries based on collected data. • Maintain confidentiality and security of sensitive company information. • Collaborate with internal teams to resolve data-related issues. • Assist with improving data entry procedures and workflow processes. • Meet established deadlines, productivity goals, and accuracy benchmarks.

• Accurately inputting, updating, and maintaining large volumes of data into our company databases and computer systems. • Reviewing data for errors, inconsistencies, or deficiencies and correcting any incompatibilities. • Organising and sorting information to ensure data is easily accessible and retrievable. • Generating reports and extracting data for various departments upon request. • Upholding strict confidentiality and data protection standards at all times. • Performing regular backups to ensure data preservation. • Assisting with other administrative tasks as needed to support the team.

Role Description We are looking for a business-oriented Senior Data Analyst with strong experience in data transformation and visualization, eager to transform complex data into actionable insights. The role focuses on analytical problem solving and supporting data-driven decision-making in close collaboration with the business side. Key Responsibilities - Gather and translate business requirements into data-driven solutions - Create and maintain dashboards, reports, and semantic data models - Ensure data quality, consistency, and usability across reporting solutions - Collaborate with data scientists, data engineers, and business stakeholders within the “data squad.” - Present insights and recommendations in a clear and actionable way to non-technical stakeholders, enabling data-driven decision-making. Qualifications - Experience as a Data Analyst or BI Analyst in a data-driven environment. - Strong skills in dashboarding and visualization tools (e.g. Power BI, Looker, Tableau). - Good knowledge of SQL, data modeling, and semantic layers. - Experience with cloud-based analytics platforms, ideally Google Cloud Platform (GCP). - Strong communication and stakeholder management skills - Experience working with cross-functional and virtual teams - Confident German and English Skill (B2-C1) Requirements - Energy industry experience - (Advanced) knowledge of Python - Knowledge of data science methods Benefits - Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation. Company Description As Hungary’s most attractive employer in 2025 (according to Randstad’s representative survey), Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group. The company provides a wide portfolio of IT and telecommunications services with more than 5300 employees. We have hundreds of large customers, corporations in Germany and in other European countries. DT-ITS received the Best in Educational Cooperation award from HIPA in 2019, acknowledged as 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.

Role Description You will be: - Designing, building, and maintaining dashboards and reports that deliver meaningful business insights. - Performing ad-hoc analyses, data validation, and troubleshooting using SQL. - Collaborating with Analytics Engineers to ensure data models and data marts effectively support reporting and analytical needs. - Creating intuitive data visualizations following BI and data visualization best practices. - Configuring and maintaining row-level security and tenant-specific access within BI tools. - Enabling and promoting self-service analytics across the organization. - Working with modern data platforms to improve reporting standards and the overall analytics experience. - Exploring new approaches to analytics, including embedded analytics and AI-powered reporting capabilities. Qualifications - Strong SQL skills for querying, validating, and analyzing data. - Hands-on experience with modern BI platforms such as Amazon QuickSight, Sigma, Looker, or Power BI. - Experience designing dashboards and reports with a strong focus on usability and effective data visualization. - Good understanding of row-level security and tenant-based access control within BI solutions. - Ability to work closely with both technical and business stakeholders to translate reporting requirements into effective analytical solutions. - Work from the European Union region and a work permit are required. Requirements - Experience connecting BI tools to a lakehouse architecture using Amazon Athena, JDBC, or Apache Iceberg. - Familiarity with self-service analytics and embedded analytics solutions. - Understanding of data models and data marts, allowing effective collaboration with Analytics Engineers. - Experience with Sigma (Input Tables, Sigma Tenants, warehouse-native analytics). - Exposure to AI-powered or natural-language analytics solutions ("talk to your data"). Recruitment Process - CV review - HR call - Interview - Client Interview - Decision