Product Data Analyst

Role Overview

The Product Data Analyst will work in an internationally operating aerospace company, contributing to safety in Europe and securing autonomous access to space. The role involves data analytics for forecasting, independent development of software solutions, and collaboration with the product team.

What You Will Do

The main tasks and activities include data analytics for forecasting, independent development of a software solution for data-driven business forecasting, and implementation of a software-based solution for stock management.

Why It Might Be a Fit

The ideal candidate will possess a completed informatics study, 2-3 years of professional experience in the IT/software field, and knowledge in data analytics, Python, and SQL databases.

Requirements

• Completed (business) informatics study, data science, mathematics, statistics, business engineering, or comparable
• 2-3 years of professional experience in the IT/software field
• Knowledge/experience in logistics, data engineering, or statistics is desirable
• Very good knowledge in data analytics, Python, and SQL databases
• Knowledge in SAP PAS ERP, IBM Cognos, and Planisware is desirable
• Structured, analytical, and meticulous working style
• Independence and self-responsibility
• High flexibility and problem-solving skills
• Good communication and presentation skills
• Very good German and good English skills

Benefits

• Practical experience and participation in an internationally operating aerospace company
• Attractive remuneration according to the collective agreements of the metal and electrical industry and various special payments
• Profitable performance payments
• 30 days of vacation
• Betriebliche Altersvorsorge (company pension)
• Sick pay allowance
• Regular preventive measures, social counseling, and company integration management
• Care for Life / Sabbatical
• Flexible working hours with partial home office option / Flexible working time models
• Personal development opportunities (e-learning, training, mentoring, use of the expert network)
• Employee benefits (employee benefits portal, Egym Wellpass, car rental or purchase, bicycle leasing, reimbursement of the Germany ticket)
• Employee canteen and parking lot

Tagged as: Data Analysis