Data Analyst
📍
Locations:
Pune, Hyderabad, Bangalore, Gurgaon, Noida (Hybrid)
💼
Experience:
4–6 Years
Key Responsibilities
-
Analyze large and complex datasets to generate actionable insights for
business stakeholders.
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Write and optimize complex
SQL queries
for data extraction, transformation, and analysis.
-
Perform advanced data analysis using
Python/PySpark
on large-scale datasets.
-
Collaborate with cross-functional teams to understand business requirements
and deliver analytical solutions.
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Develop reports, dashboards, and visualizations to support business
decisions.
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Ensure data accuracy, quality, and consistency across systems.
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Work on banking-specific use cases such as
risk analytics, regulatory reporting, fraud detection, customer analytics,
and transaction analysis
.
Required Skills
-
Strong hands-on experience in
SQL
(advanced querying, performance tuning).
-
Proficiency in
Python
(Pandas, NumPy) and/or
PySpark
.
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Excellent analytical and problem-solving skills.
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Strong understanding of data modeling, ETL processes, and large datasets.
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Ability to communicate insights effectively to stakeholders.
Mandatory Requirement
-
Hands-on experience in the US Banking domain
(Retail Banking, Commercial Banking, Cards, Payments, Lending, or Risk &
Compliance).
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Good understanding of
US banking regulations, data structures, and business processes