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Tier-1 brand, metro location, and mid-level generalist analytics role increase applicant competition.
Core analytics skills are transferable, but banking/KYC domain knowledge makes cross-industry fit moderately sensitive.
Explicit 4-7 year requirement plus mandatory SQL/Python/Tableau and banking domain knowledge increases filtering strictness.
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Gather and analyze operational data from multiple stakeholders to assess business performance and identify trends.
Provide actionable insights and recommendations for process improvements, business planning, and strategic opportunities.
Collaborate with internal and external partners to build, track, and refine decision strategies, focusing on enhancing customer experience and operational efficiency.
Bachelor's or equivalent degree required.
Relevant work experience: 2-5 years for Master's degree holders or 4-7 years for Bachelor's degree holders.
Proficiency in data analysis tools and programming languages such as SQL, Python, SAS, PySpark, and data visualization tools like Tableau or QlikView.
Knowledge or exposure to financial services operations, including regulatory requirements like KYC and AML.
Experienced in statistical data analysis, process improvement methodologies (Lean, Six Sigma), and automation of operational processes.
Able to translate complex data insights into clear, actionable recommendations communicated effectively to business partners and senior leaders.
Familiar with finance or banking domain operations and associated regulatory environments, capable of enhancing decision-making while managing compliance risks.