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Tier-1 bank, metro, mid-level analytics role with broad tech requirements elevates competition.
Requires banking operations knowledge plus data engineering and analytics skills, moderately limiting cross-industry fit.
Explicit 6+ years, mandatory SQL/Python/Alteryx and domain experience create strict shortlisting filters.
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Lead delivery of scalable, well-governed data and analytics solutions enabling business decision-making within Branch Administration and Operations.
Manage and prioritize data product backlog focusing on consumer banking outcomes and risk; build reusable data pipelines and develop executive dashboards using tools like Alteryx, SQL, and Tableau.
Ensure data availability and compliance with data lake standards; support data architecture coordination, issue resolution, and improve data discoverability with documentation and business glossary entries.
6+ years of related experience in quantitative/data analytics roles.
Bachelor’s degree in a quantitative or related field; alternatively Masters or PhD in related field or Bachelors with 5+ years experience in relevant discipline.
Proficiency in SQL and familiarity with languages like Python and SAS.
Work Experience Required: 6+ years; Notice period: Not explicitly mentioned in the JD.
Experienced in managing end-to-end data analytics workflows including data pipeline development, quality checks, and executive reporting in banking or financial services.
Comfortable working across cross-functional teams and partnering with process owners to translate analytics into actionable business solutions.
Technically proficient with tools and platforms such as Alteryx, Tableau, Snowflake, Python, and AWS for advanced data management and operational analytics.