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Metro location and broad analytics skill requirements increase applicant competition.
Core data analytics skills are transferable, though financial services domain knowledge helps.
Mandatory Python and SQL plus senior title increase screening strictness despite no explicit years.
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Lead data transformation and governance initiatives to generate trusted insights for EMEA Distribution.
Drive process automation and AI-enabled projects to improve productivity, data accuracy, and turnaround time.
Engage with stakeholders to understand business pain points and deliver data-driven commercial insights that enhance decision-making.
Bachelor’s or Master’s degree in quantitative disciplines like Computer Science, Economics, Mathematics, Data Science, or Business Analytics.
Strong proficiency in Python and SQL for data analysis, modeling, and automation.
Work Experience Required: Not explicitly mentioned in the JD.
In-office presence required at least 3 days per week, with working hours approximately 11:30 AM to 8:00 PM India time.
Experience or familiarity with financial services or asset management is advantageous though not mandatory.
Operates effectively in fast-paced environments with strong ownership mindset delivering quality outcomes consistently.
Technical capability in data ecosystems like Snowflake and AWS, with exposure to AI-enabled tools (e.g., Copilot) to enhance analytics and automation efforts.