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Tier-1 bank, metro Bangalore location, popular data scientist/engineer title, and broad required skillset drive high competition.
Core SQL/Python/dbt/BI skills are transferable across industries, though banking domain knowledge raises sensitivity to background.
Mandatory SQL/Python/dbt/Snowflake and BI skills plus banking data governance imply high shortlisting strictness.
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Own end-to-end delivery of data analytics, statistical modeling, and data products that address business needs with focus on impact and simplicity.
Partner with stakeholders to clarify objectives, define data requirements, build and maintain scalable, reliable datasets, pipelines, and dashboards using tools like Snowflake, BigQuery, dbt, Qlik.
Ensure data quality and transparency, automate processes for efficiency, and communicate insights clearly to enable decision-making and self-service analytics.
Expert-level skills in SQL and Python (Pandas) for data wrangling, optimized queries, and reproducible analysis.
Proficient hands-on experience with Snowflake and/or BigQuery, dbt, and Qlik or other BI/visualization tools.
Strong grounding in statistics, hypothesis testing, and model evaluation with ability to apply simplest effective approaches.
Work Experience Required: Not explicitly mentioned in the JD. Location: Bangalore, India.
Consulting-oriented data professional able to translate ambiguous business problems into pragmatic, impactful analytics solutions prioritizing speed, repeatability, and maintainability.
Experienced in analytics engineering practices bridging data engineering and analytics with strong communication and documentation skills.
Skilled stakeholder manager who drives alignment on success metrics and decision support, adept at delivering incremental value with ownership and pragmatism.