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Tier-1 brand, metro location, and generic AI/Python data role increase applicant density.
Skills like SQL, Python, cloud, and visualization are highly transferable across industries.
No explicit years but multiple mandatory technical skills, cloud and tooling requirements raise screening rigor.
Analyze and interpret large datasets using advanced analytics techniques on modern data platforms to support business decision-making.
Design, develop, and maintain data models and apply machine learning techniques to integrate analytical outcomes into business solutions.
Manage end-to-end analytics and data science projects, collaborate with cross-functional teams, and develop dashboards and insights for stakeholders.
Strong experience in Data Analytics, Data Science, or related fields.
Proficiency in SQL and programming languages such as Python or R.
Experience working with modern data platforms such as Azure, AWS, Google Cloud, Databricks, or Snowflake.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in managing analytics or data-driven projects with measurable outcomes.
Skilled in handling cloud-based data ecosystems and familiar with big data technologies.
Able to evaluate and improve data structures, data quality, business processes, and develop actionable insights for stakeholders.