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Senior Data Analyst- Banking

Tiger Analytics Inc.
McLean, USA
Full-time
Senior · 5+ years experience
Hybrid
Discovered 1 months ago
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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