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Generalist senior data role in Bangalore with common Python/SQL/PowerBI skills attracts many qualified applicants.
Core analytics skills are transferable, but PLM/Windchill and Azure specifics raise domain sensitivity.
Explicit 7-8 years requirement plus mandatory analytics tools (Python/SQL/Power BI) increases screening strictness.
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Manage and analyze Windchill PLM data to generate actionable insights and recommendations for process improvements and product lifecycle optimization.
Collaborate with cross-functional teams and stakeholders to gather requirements and design data analytics solutions using Python, R, SQL, and visualization tools like Power BI.
Develop and maintain scalable data models, data pipelines, and reports ensuring data integrity, quality, and security within PLM analytics infrastructure.
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
7-8 years of experience in data analytics, data engineering, or a related role.
Proficiency in programming languages such as Python, R, and/or SQL and experience with data visualization tools like Power BI.
Basic knowledge of Windchill PLM system and its data structure preferred; experience administering analytics infrastructure in Azure, Fabric, or Power BI Premium is also preferred.
Experienced senior analyst with a strong background in managing and analyzing enterprise PLM data to influence product lifecycle and process outcomes.
Familiar with implementing scalable data analytics solutions and collaborating across IT and business teams in a global, fast-paced environment.
Technically skilled in Python, R, SQL, and Power BI with knowledge of Windchill PLM system and cloud analytics infrastructure administration.