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Metro location, popular mid-level data role, and broad skillset requirements increase applicant competition.
Data governance and engineering skills are broadly transferable across industries.
No explicit years but multiple certifications and governance skills imply moderate filtering criteria.
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Develop and implement big data strategies and scalable data pipelines to improve business processes and data quality.
Lead and manage a team of data analysts to analyze and interpret large data sets for driving strategic decision-making.
Ensure data governance compliance and collaborate across functions to deliver actionable, data-driven insights.
Bachelor's or Master's degree in Business Analytics, Computer Science, Statistics, or Data Science.
Work Experience Required: Not explicitly mentioned in the JD.
Must have skills in Data Quality and Data Engineering.
English proficiency at Advanced (C1) level required; role is hybrid with work shift during Indian daytime.
Experienced in leading data analytics teams with a focus on data governance and quality in large-scale enterprise environments.
Strong capability in designing and maintaining scalable data architectures and data pipelines.
Comfortable working in a hybrid, innovation-driven setting supporting AI-powered business transformations.