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Working Student Data Analysis & Delivery Management (m/f/d)

experiencedBerlin, DEСкор undefined/1002нед назад
Аналитика рынка
📊 Backend: зарплаты и спрос на рынке
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defierdgoscalavisio
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Описание
At 1KOMMA5° , we pursue a clear vision: Living on wind and sunlight forever for free . To make this a reality, we are building the energy system of the future with Heartbeat AI. Want to be part of it? We bring together regional craftsmanship and scalable software: We don't think of solar, batteries, heat pumps, and e-mobility as isolated components, but control them as an intelligent, integrated overall system in our virtual power plant. Directly connected to the electricity market – in real time, fully automated. This way, energy is used when it is available from renewables and particularly cost-effective. 5 million households to renewable energies. Over 3,000 people are working towards this every day, at more than 80 locations worldwide, from Finland to Australia. Want to take responsibility and build solutions that truly matter? Apply now and help us shape the energy world of tomorrow . Learn more about our Product & Tech team! As part of a cross-functional team in the Heartbeat AI domain, you will focus on delivering new hardware integrations for the Heartbeat AI platform, performing actionable data analyses on existing ones and drafting requirements for our software and hardware solutions. In addition you will take an active project management role within the team and support in preparing presentations for the company leadership team and external events Key responsibilities include but are not limited to: Project Management Support: Take an active role in supporting the software delivery process, focusing on rolling out software solutions and gathering requirements. g. Business Administration, Engineering, Computer Science) Strong communication and organisational skills Experience refining ambiguous requirements and finding your way around in cross-functional teams in a fast pace, interdisciplinary working environment You like working with large data sets and putting them in clear
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