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Tier-1 brand, popular data/process role, metro location, and broad skills increase competition.
Analytical and process skills are broadly transferable, though financial services experience is preferred.
Requires Python, SQL and process skills but lacks explicit years requirement, indicating moderate shortlisting filters.
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Support and drive global process re-engineering programs leveraging Lean and Six Sigma methodologies for process optimization and automation.
Analyze data to develop insights, create visualizations, conduct statistical analysis, and deliver reports to support decision-making.
Develop and implement automation solutions using Python and related technologies; conduct POCs and support technology adoption across teams.
Bachelor's degree or equivalent experience; graduate degree from a top-tier institution preferred.
Intermediate programming skills in Python (including Flask, Selenium, Pandas, NumPy) plus basic knowledge of HTML, CSS, JavaScript, and AI/ML.
Proficiency in data analysis techniques and tools such as Excel, SQL, and statistical software.
Work Experience Required: Not explicitly mentioned in the JD. Required travel up to 25-30%.
Demonstrated ability in process re-engineering with Lean/Six Sigma methodologies.
Strong analytical and programming skills focused on automation and data-driven problem solving.
Experience working with senior leadership and cross-functional teams in a strategic, project-driven environment, preferably in financial services.