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Tier-1 brand, metro location, mid-level generalist title and broad SQL/Python/BI requirements increase candidate competition.
Finance-specific knowledge (P&L, cost drivers) reduces transferability despite SQL/Python portability.
Explicit 2–4 years plus mandatory SQL, Python, and finance/reporting experience increases filtering.
Own end-to-end reporting for Branch Network Transformation initiatives (New Builds, Consolidations, Relocations) by extracting, reconciling, and analyzing data from data warehouses using SQL.
Develop and maintain SQL and Python workflows for recurring reporting, ad-hoc analyses, reconciliations, and validation routines to support Finance and governance functions.
Provide decision-ready insights and standardized performance metrics to Finance and senior stakeholders, enabling forecast discussions and leadership actions.
2–4 years of experience in financial analysis, reporting, business intelligence, or analytical finance support.
Strong proficiency in SQL including complex joins, CTEs, aggregations, window functions in data warehouse/Databricks environments.
Working proficiency in Python for data transformation, reconciliation, and analytics workflows.
Bachelor’s degree or equivalent experience.
Experienced in handling complex datasets across multiple systems with demonstrated skill in resolving data inconsistencies and standardizing definitions.
Comfortable communicating clear, narrative-driven financial analysis to both finance and non-technical stakeholders.
Able to design and automate workflows and reporting processes to improve reliability and reduce manual efforts in governance and finance reporting contexts.