Data Analytics and Automation Specialist

A Snapshot of Your Day Imagine starting your day by diving into operational data and feedback from the Clarification and Logistics teams, pinpointing trends and bottlenecks. You harness advanced data analytics tools to reveal inefficiencies and craft actionable insights. By mid‑morning, you engage with business partners, discussing how these data‑driven findings can shape process improvements and automation opportunities. In the afternoon, you’re immersed in designing and deploying robotic process automation (RPA) solutions, configuring unattended bots to automate repetitive, data‑heavy tasks. Every decision is rooted in data analysis, streamlining operations, reducing errors, and speeding up service delivery for our customers. Your day unfolds in a collaborative, innovative team culture that champions transparency, data‑driven solutions, and continuous optimization.

How You’ll Make an Impact

- Leverage advanced analytics to identify inefficiencies in logistics, warehousing, and spare parts workflows, proposing innovative automation solutions.

- Design, develop, and maintain RPA solutions like unattended bots to automate manual processes, boosting efficiency and accuracy.

- Integrate data analytics with application development on platforms like Mendix, optimizing solutions for automation and insightful reporting.

- Collaborate with business partners to evaluate data‑driven process improvement opportunities, focusing on impactful solutions.

- Lead the development and deployment of analytics and RPA projects, ensuring timely delivery aligned with business goals.

What You Bring

- Proven experience in data analytics for process optimization and business transformation.

- Strong background in RPA with hands‑on experience in unattended bots and automation tools.

- Proficiency in low‑code platforms like Mendix, integrating analytics and automation solutions.

- Solid understanding and practical application of AI technologies to enhance business processes.

- Advanced programming skills in Python and/or Java for customizing analytics and automation tools.

About the Team

The GSO CL PIN team is a global organization with locations in Germany, Portugal, and the United States. Together with key organizational partners, PIN develops innovative digital solutions that enhance technical clarification and optimize logistics processes for Service Parts. By combining cross‑functional expertise with a strong focus on operational effectiveness, the team drives measurable improvements across the global service parts value chain.

Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company. With +100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world’s electricity generation.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.

Our Commitment to Diversity

Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion, and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character—no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.

Rewards/Benefits

- Competitive salary and meal allowance

- Fair compensation for international work

- Health insurance coverage

- Remote work permitted within the country

- Additional 5 “Pontes” days off and Birthday off if it falls on a weekday, when not abroad (only applies for Portugal)

- Among others

Explore opportunities at Siemens Energy: https://jobs.siemens-energy.com/jobs

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