Sales Operations Specialist Digital Industries
Pubblicato il 03-10-2026 - Biotecnologie - Farmacia - Chimica in Milano
01-Oct-2026
Profesional Junior
Transform the everyday for everyone At Siemens, we enable sustainable progress through technology, connecting the real and digital worlds to improve how we live, work, and move.
We put our people first - creating a diverse, global environment where you can grow, take ownership, and make a real impact from day one.
Here, your ideas turn into innovative solutions that transform industries, infrastructure, mobility and everyday life.
Your next chapter starts here Your role: As Sales Operations Specialist , you will be part of the Strategy, Planning & Operations team , contributing to the continuous improvement of sales efficiency and effectiveness. Your day-to-day activities will include analyzing sales data and business insights, supporting decision-making through advanced reporting and analytics, and driving initiatives to optimize, standardize, and digitalize sales processes. You will collaborate closely with all Sales channels, Finance, and IT teams to enhance productivity, improve data quality, and support sustainable business growth.
You’llmake an impact by: Driving customer segmentation and territory management processes, ensuring accurate customer allocation to the appropriate sales channels and coverage models.
Managing customer master data quality and governance to support effective sales execution
Developing and maintaining sales insights, dashboards, and analytical tools that enable data-driven business decisions and identify growth opportunities.
Leading initiatives to optimize, standardize, and digitalize end-to-end sales processes, promoting automation and operational efficiency.
Monitoring process performance through KPIs and recommending continuous improvement actions.
Acting as a key interface between business and digitalization teams to translate business needs into scalable solutions.
What makes you a great match: Core Requirements Bachelor’s degree in business administration, Economics, Engineering, Data Analytics, or