Data Scientist

T-Systems Iberia, located in Granada, Spain, is seeking a data analyst to evaluate data sets using advanced analytics methods. Responsibilities include preparing reports for management, ensuring data quality, and participating in developing analysis tools. Candidates should have strong skills in data-driven decision-making, MS Office, and IT requirements, with additional knowledge in tools like Power BI and programming languages like Python being advantageous. The position offers a hybrid work model, flexible hours, and numerous benefits., * Prepare reports for executive management.

• Ensure data quality and identify areas for action when data deviates from target., Analysis and evaluation of data sets using advanced analytics methods on modern data platforms; creation of reports in the areas of analysis, evaluation, and assessment of data structures and processes. Development of robust and effective data models; use of machine learning techniques to integrate results from analyses into specific solutions and business processes in the context of preparing cost cases and contributing to techno-economic assessments. Data transformation: e.g., handling data enrichment, blending, and augmentation, as well as filtering and consolidation, within the scope of developing and presenting decision proposals and recommendations for action. Participation in the development of specific analysis and control tools for different data sources to provide required datasets. Responsibilities And Duties

• Compiling data and department-specific KPIs.

• Preparing reports for executive management level.

• Ensuring data quality and identifying areas for action when data deviates from target ranges.

• Preparing information and presenting results to the leadership team.

• Strong affinity for data and data-driven decision-making.

• Good MS Office skills.

• Well-structured working style., MS Office skills IT requirements knowledge Process representation understanding Agile working experience Communication skills, * Strong affinity for data and data-driven decision-making

• Good MS Office skills

• Well-structured working style

• Solid knowledge/experience in the field of IT requirements (including Jira knowledge)

• Good understanding of process representation

• Experience working in an agile environment

• Good communication skills

• Advantageous:

• FinOps
• Machine Learning
• Gitlab
• MicroStrategy (or PowerBI and Looker Studio)
• Proficiency in Power BI is a plus
• Experience with programming languages such as Python, If you are looking for a new challenge, do not hesitate to send us your CV! Please send CV in English. Join our team!

Work environment & flexibility

• International, dynamic and collaborative environment
• T-Social: social initiatives (sports, community, health, …)
• Hybrid work model (remote/on-site)
• Flexible working hours

Growth & development

• Customized training: access to Coursera to learn whatever you want, whenever you want
• Weekly language classes (English & German)
• International Mentoring Sessions & Experience Days

Compensation & Benefits

• Flexible compensation plan (health insurance, meal vouchers, childcare, transport)
• Telemedicine
• Life and accident insurance
• Social fund

Wellbeing & time off

• 26+ working days of vacation per year
• Free access to specialist services (medical, legal, wellness)
• 100% salary coverage during medical leave

And many more advantages of being part of T-Systems!

Jira Power BI Machine Learning GitLab MicroStrategy Python Descripción del empleo Company Description T-Systems is part of the Deutsche Telekom Group, with around 30,000 employees worldwide. We create technology with purpose to generate a positive impact on society. We are looking for curious talent, eager to learn, take on challenges, and contribute ideas that transform our customers' experience. We trust people: we offer autonomy, continuous support, and a collaborative environment where you can grow without limits. We are one global team, guided by respect, integrity, and a passion for doing better every day.