Minimum Knowledge & Experience required for the position:
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5 years of relevant work experience in a similar role in a large company. With experience from multiple projects.
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Experience with manufacturing, logistics, R&D and production quality data is an advantage
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Advanced SQL including window functions, CTEs, and query optimization.
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Strong proficiency in Python for data analysis, manipulation, and automation, including popular libraries and tools such as Pandas, SciPy, Seaborn, Jupyter/iPython notebooks
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Experience in Power BI, Qlik or other dashboarding software.
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Experience developing, testing, and deploying data transformation pipelines using dbt.
Preferred:
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AWS, Microsoft Azure cloud computing, or similar.
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Familiarity with DataOps principles.
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Familiar with Agile methodologies.
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Git software versioning.
Skills & Capabilities:
We expect you to demonstrate proficiency in data analysis and have a keen interest in understanding various business domains. We will also need you to be able to communicate data concepts to non-technical colleagues.
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You are fluent in English both orally and in writing.
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Strong analytical and problem-solving skills, with keen attention to detail.
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Skilled in extracting insights from complex datasets.
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Excellent time management and prioritization abilities.
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You have good presentation skills.
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You can communicate well within the team and with stakeholders.
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You can analyze business requirements in dialogue with internal stakeholders.
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You can collaborate directly with external consultants and vendors.
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You are a team player willing to share knowledge, ideas, and banter.
Travel requirements:
5% of time.
Individual Contributor Core Competencies:
Managing Work
Effectively managing one’s time and resources to ensure that work is completed
efficiently.
Emotional Intelligence Essentials
Establishing and sustaining trusting relationships by accurately perceiving and interpreting own and others’ emotions and behavior; leveraging insights to effectively manage own responses so that one’s behavior matches one’s values and delivers intended results.
Building Partnerships
Developing and leveraging relationships within and across work groups, including cross- functional groups, to achieve results.
Decision Making
Identifying and understanding problems and opportunities by gathering, analyzing, and interpreting quantitative and qualitative information; choosing the best course of action by establishing clear decision criteria, generating and evaluating alternatives, and making timely decisions; taking action that is consistent with available facts and constraints and optimizes probable consequences.
Continuous Improvement
Originating action to improve existing conditions and processes; identifying improvement opportunities, generating ideas and implementing solutions.
Continuous Learning
Actively identifying new areas for learning; regularly creating and taking advantage of learning opportunities; using newly gained knowledge and skill on the job and learning through their application.
