Vedoucí transformace dat

As Lead Data Catalyst, you will be responsible for driving the improvement of data quality and availability for your assigned steam turbine installed fleet. This task is essential, in support of our Spare Parts organization's ambition of becoming Amazon's industrial twin. You will conduct in-depth data analyses, propose a data strategy and work with different teams to validate and implement it; set in place data governance measures, data management and monitoring tools, and support data monetization. As new data feeds into our e-Commerce platform, you will actively promote its adoption by your internal customers and herewith directly support process automation and business growth.

How You'll Make an Impact

• Gather business data and conduct in-depth analyses to gain deep insights, propose a data cleaning (rule-based and using AI) and augmentation strategy and lead its implementation.
• Collaborate with several functions to determine the status quo of data usage, quality and availability, understand pain points and collect improvement ideas.
• Drive volume through our e-Commerce platform (Energy Shop) for your internal customers. Support strategic inventory management, procurement, pricing, upselling, and customer insight-based offerings.
• Apply analytics and Data Management practices to improve data quality and availability. Being pragmatic and prioritize your work with business impact in mind. Being autonomous, proactive and confident while working in a small, empowered team.
• Becoming Subject Matter Expert in your domain of data, processes and tools impacting them. Collaborate across functions, regions, and partners to drive data excellence initiatives.
• Support the establishment of E-Commerce as a relevant distribution channel. Contribute to the vision of becoming "Amazon's industrial twin" by shaping the future of our spare parts business within your area of responsibility.

What You Bring

• Strong experience conducting advanced data analysis using Python. Proficiency in analyzing, manipulating and applying Machine Learning to data. Familiarity with Snowflake, PowerBI including DAX and M is a plus.
• A Bachelor's degree in Engineering, Computer Science, Business, or a related field.
• Experience in digital product management, project management, consulting, business acumen a plus.
• Creative, analytical thinking, efficient and resourceful.
• Impeccable communication skills in English and the local language.
• Strong passion for collaboration, transformation, data management/excellence, including data governance, analytics.
• Legal authorization for employment without the need for current or future employer-sponsored work authorization.

About the Team

Our Transformation of Industry division is decarbonizing the industrial sector. Increasing electrification and efficiency are key and demand for green H2 and derivative fuels will rise. We enable decarbonization of the industrial sector and the transition to sustainable processes, building on a strong industrial customer base, a global network, diverse technologies, and integrated execution capabilities. Candidates want to learn about the divisions they will be joining-the structure, how it works together, and the role it plays in driving Siemens Energy's mission forward.

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

• Career growth and development opportunities
• Supportive work culture
• Company paid Health and wellness benefits
• Paid Time Off and paid holidays
• Profit Sharing Program
• Private Pension
• Parental leave