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Tier-1 brand, popular analytics role, metro location, and mid-level experience increase competition.
Core analytics skills are transferable, but payments/financial services preference raises industry sensitivity.
Explicit 3–8 year requirement plus mandatory SQL/Python/Tableau and quantitative degree increases strictness.
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Support product and client performance analytics to inform growth and strategy in Global Commercial Services (GCS).
Analyze business performance, client segmentation, trends, and competitive insights to generate actionable recommendations.
Develop scalable analytics solutions, including data assets, dashboards, and advanced analytics approaches like automation and basic machine learning.
Degree in quantitative field (Mathematics, Computer Science, Engineering, Economics, Finance) or equivalent.
3–8 years of experience in business analytics, consulting, corporate finance, or related roles (2–4 years if Master’s/MBA).
Proficiency in SQL and Python with experience handling large datasets.
Experience with data visualization tools like Tableau and ability to communicate insights to diverse stakeholders.
Strong analytical capabilities combined with strategic thinking and financial acumen to influence product decisions.
Comfortable working in a fast-paced, highly matrixed, geographically distributed environment.
Experienced in Payments or Financial Services and exposure to machine learning or advanced analytics is advantageous.