Description
Our proprietary technology, consisting of IoT-enabled hardware and AI-supported software, permanently optimizes water-bearing systems in buildings. Thi _reduces CO2 emissions__s _ a _energy costs__nd _. Everyone benefits: owners, operators, occupants and the climate. At Paul, we are researchers, developers and practitioners with_common goal__the _ of developing intelligent solutions for building _combat climate change__s to _.n
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nTherefore we are _ _looking for you__ to drive our scaling asn
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nStrategic Stakeholder Collaborationnn
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- nPartner and collaborate closely with business stakeholders to understand their strategies, needs, and objectivesnn
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nAnalytical Problem Framingnn
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- nAnalytical outlook to frame the right questions while diving deep into business domains and processesnn
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nData Integration and Collaborationnn
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- nConnect data from various sources, collaborating with product managers and engineers to develop comprehensive data solutionsnn
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nData Model Developmentnn
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- nDevelop robust and clean data models, ensuring high-quality data thereby leading high-quality analyticsnn
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nInsightful Data Communicationnn
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- nCommunicate insights in a compelling and accessible manner to support product development and decision-makingnn
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nData-Driven Decision Supportnn
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- nSupport the business decision-making process, by generating analytical solutions by leveraging exploratory data analysis and hypothesis based “proof of concept” frameworknn
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- nProven experience in data analysis , preferably within a business contextn
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- nStrong zeal for Data crunching and wranglingnn
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- nProficiency in SQL and/or Python for data analysis and modelingnn
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- nExperience with data visualization tools such as Power BI or Tableaun
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- nA proactive and collaborative mindset, with the ability to work effectively in cross-functional teamsnn
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- nStrong analytical and problem-solving skills with the ability to articulate complex ideasn
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- nA passion for learning, hands-on work, taking ownership, and making an impactnn
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