workable
Senior Data Analyst- Banking
Tiger Analytics Inc.
McLean, USA
Full-time
Senior · 5+ years experience
Hybrid
Discovered 6 days ago
SQLPythonPySparkDatabricksJupyterAWS S3
Free
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SQLPythonPySpark
Key Skills for This Role
SQLPythonPySparkDatabricksJupyterAWS S3
Full Job Posting
Key Responsibilities
- Partner with business stakeholders to understand and translate business needs into solution requirements.
- Work with large datasets using Python/PySpark (Databricks/Jupyter) for data processing and analysis.
- Write efficient SQL queries for data extraction, transformation, and validation.
- Experience handling large-scale consumer banking, credit risk, or payment processing datasets.
- Consume and manage data from AWS S3 and integrate with downstream systems.
- Build and maintain dashboards (Tableau, Power BI, or QuickSight) for business stakeholders.
- Collaborate with cross-functional teams to translate business requirements into data solutions
Benefits
- Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
- Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
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