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Tier-1 bank, metro, early-mid generalist data role with common tech stack increases competition.
Strong data skill transferability but banking domain knowledge increases domain bias.
Mandatory 2+ years and specific Big Data, SAS and visualization tech increases filtering.
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Develop and maintain reporting systems and dashboards to track organizational performance metrics.
Collaborate cross-functionally to deliver accurate, timely reports and perform ad hoc and root cause analyses to solve business challenges.
Manage end-to-end project communication with onsite and India teams while ensuring data accuracy and adherence to risk and control guidelines.
2+ years experience with Big Data systems (Hive, Hadoop, Spark with Python) and cloud-based data management.
Proficiency in data visualization tools such as Tableau or Power BI.
Strong technical skills in Base SAS, SAS Macros, SQL, and basic Unix.
Bachelor's degree in Computer Science, Engineering, or related field.
Experienced analyst with demonstrated expertise in reporting, data analysis, and banking domain knowledge (e.g., Credit Cards).
Skilled in stakeholder management and clear communication of data insights to business partners and senior leadership.
Capable of managing projects independently and maintaining high-quality deliverables in a data-driven environment.