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Common mid-to-senior data role in Gurgaon with broad Python/SQL/Snowflake requirements increases competition.
Core analytics skills are transferable, though financial services distribution domain knowledge moderately matters.
Mandatory Python and SQL plus data governance and AI expectations create moderate shortlisting rigidity.
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Own data refinement, governance, and transformation for EMEA Distribution client data to provide trusted commercial insights.
Drive analytics, process automation, and AI initiatives to enhance productivity, data accuracy, and decision-making for distribution business.
Engage and collaborate with stakeholders to understand pain points, prioritize initiatives, and deliver high-impact data-driven solutions.
Bachelor's or Master's degree in a quantitative discipline (e.g., Computer Science, Economics, Mathematics, Data Science, Business Analytics).
Strong proficiency in Python and SQL for data analysis, modeling, and automation.
Work Experience Required: Not explicitly mentioned in the JD.
Ability to work in-office at least three days a week (hybrid).
Experienced in building data solutions to support commercial insights and business diagnostics in a fast-paced environment.
Familiar with modern data ecosystems such as Snowflake and AWS, and exposure to AI-enabled tools for automation.
Comfortable working closely with business stakeholders to translate requirements into actionable data strategies.