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Tier-1 bank, metro location, and a popular senior data analyst title increase candidate density.
Core data engineering and analytics skills transfer across industries, though banking domain knowledge is moderately valued.
Specific data platform and tooling requirements create moderate filtering (Databricks, Snowflake, PySpark, Python, SQL).
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Build and maintain data architectures (pipelines, warehouses, lakes) ensuring accurate, secure, and accessible data.
Develop processing and analysis algorithms and collaborate with data scientists on machine learning model deployment.
Lead and supervise a team, manage operational processing, deliver strategic dashboards, deep dive analyses, and support business decision-making in Business Banking MI and Reporting.
Experience with Databricks, Snowflake, PySpark, Python, and strong SQL knowledge.
Proficiency in data analytical skills.
Experience with reporting tools such as Tableau or Power BI.
Work Experience Required: Not explicitly mentioned in the JD; location requirement: Pune office.
Technical leader able to supervise and guide a data analysis team while handling end-to-end data processing ownership.
Experienced in building scalable data solutions and dashboards that drive business decisions in banking or financial services.
Comfortable working in a strategic role combining technical expertise with stakeholder management and business acumen.