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High applicant density due to Tier-1 brand, metro Bangalore location, and mid-level generalist Data BA profile.
Data warehouse skills transferable but banking domain preference limits cross-industry fit.
Explicit 5–7 years, required DW/Data Engineering experience and GCP-BigQuery create rigid shortlisting filters.
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Own business analysis responsibilities for large Data Warehouse or Data Engineering projects within corporate IT environments.
Collaborate closely using Agile methodologies for requirements gathering, documentation, and delivery, utilizing tools such as Confluence, JIRA, and Visio/Draw.
Apply domain knowledge especially in banking, finance, wealth, or private banking sectors to design and support data solutions impacting client financial services transformations.
5-7 years of experience in Corporate IT and functional Business Analyst roles focused on large Data Warehouse or Data Engineering applications.
Proficiency with Excel, SQL, and Google Cloud Platform BigQuery.
Experience with documentation and project tools: Confluence, JIRA, and Visio/Draw.
Domain knowledge preferably in banking, finance, and specifically wealth and private banking.
Experienced business analyst comfortable in Agile environments and skilled at bridging technical and business teams for data projects.
Deep understanding of financial services industry data and transformation projects, especially in wealth or private banking.
Analytical and problem-solving oriented professional able to drive detailed data requirements and support solution delivery.