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Tier-1 brand, mid-level data role, and metro Mumbai location increase applicant competition.
Core analytics and SQL skills are transferable, though finance domain experience is preferred.
Explicit 2+ years, mandatory SQL/analytics skills and finance preference indicate moderate filtering.
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Build and maintain data transformations, curated datasets, and analytics-ready tables for reporting and analysis.
Develop and enhance dashboards and reports using BI tools like Sigma, Power BI, or similar platforms.
Support AI-enabled analytics use cases by preparing high-quality data inputs and applying best practices around data quality and governance.
2+ years of experience in data analytics, analytics engineering, BI, or data engineering.
Strong SQL skills and experience with analytical datasets.
Bachelor's or Master's degree in Computer Science, Engineering, or related field; MBA from tier I institutes (IIT/NIT/BITS/IIM/ISB/XLRI) preferred.
Experience or exposure to BI tools (Power BI, Tableau, Qlik) and cloud data platforms (Azure, Snowflake) is a plus.
Experienced in analytics engineering with operational responsibility for data modeling, reporting, and AI-supported analytics workflows.
Familiar with financial services domain, preferably credit or asset management analytics.
Capable of translating business reporting needs into technical specifications and collaborating with cross-functional teams across investment platforms.