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Mid-level, generalist data role in Gurgaon with common required skills increases competition.
Requires banking, payments and risk analytics domain knowledge reducing cross-industry transferability.
Explicit 6-9 years requirement plus mandatory SQL/Python/ETL/Tableau and banking domain experience.
Build and manage curated data sets and ETL processes for Enterprise Commercial Analytics focusing on Payments, Business Banking, and Risk Analytics.
Translate complex banking domain requirements into scalable data models, business intelligence solutions, and Tableau visualizations.
Optimize data pipelines and reports for scalability, automate processes, ensure data quality and support actionable insights for strategic decision-making.
6-9 years of relevant work experience in data analytics or related roles.
Strong expertise in SQL, Python, ETL, data warehousing, and Tableau.
Experience with on-premise and cloud data platforms, preferably Google Cloud Platform (GCP).
Location: Udyog Vihar Phase II, Gurgaon, Haryana, India; Employee type: Permanent.
Experienced in banking analytics domains including payments, business banking, and risk analytics.
Capable of stakeholder management and translating business needs into technical analytics solutions.
Proficient in maintaining data governance, quality, documentation, and process improvement in large-scale analytics environments.