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Common Python/SQL skills raise applicant density, PLM/Windchill specialization reduces it.
Medium because analytics skills transfer, but PLM/Windchill domain knowledge is industry-specific.
High due to explicit 7-8 years requirement and mandatory analytics programming and visualization skills.
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Manage and analyze Windchill PLM data to extract insights and provide actionable recommendations for process improvements in product lifecycle management.
Design, develop, and maintain scalable data models, algorithms, and data pipelines integrating PLM and other data sources using Python, R, SQL, and Power BI.
Collaborate cross-functionally to gather requirements, ensure data integrity, and present reports and visualizations to stakeholders for data-driven decision making.
Bachelor's degree in Computer Science, Data Science, Engineering, or related field.
7-8 years of experience in data analytics, data engineering, or related roles.
Proficiency in Python, R, and/or SQL, and experience with data visualization tools such as Power BI.
Basic knowledge of Windchill PLM system and its data structure preferred; no explicit mention of notice period.
Experienced in handling large enterprise PLM system data with capability to develop end-to-end data analytics solutions.
Demonstrates strong collaboration skills to work effectively with diverse stakeholders including IT and business teams in a global organization.
Comfortable with maintaining data pipelines and analytics infrastructure, possibly within Azure or Microsoft Fabric environment, focusing on data quality and security.