Senior Consultant/ Manager - Banking

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
• Consume and manage data from AWS S3 and integrate with downstream systems
• Leverage Snowflake for data warehousing, modeling, and performance optimization
• Build and maintain dashboards (Tableau, Power BI, or QuickSight) for business stakeholders
• Collaborate with cross-functional teams to translate business requirements into data solutions

Requirements

• Bachelor's degree in Computer Science or any related field
• 7+ years of experience in Data Analytics in Banking/Consulting roles
• Strong expertise in SQL for querying and manipulating large datasets
• Proficiency in Python for data analysis and scripting
• Experience with data visualization tools (Power BI, Tableau, Looker, etc.)
• Hands-on with AWS (S3) and Snowflake
• Understanding of banking/financial services data is must have
• Experience working in a client-facing or consulting environment
• Hands-on experience in data analysis, data profiling, and exploratory analysis
• Hands-on experience in analyzing, identifying, and documenting transformation logic and rules
• Excellent teamwork and problem-solving abilities

Benefits

• Significant career development opportunities
• Part of a small, fast-growing, challenging and entrepreneurial environment
• A high degree of individual responsibility
• Tiger Analytics provides equal employment opportunities to all employees and applicants without discrimination on the basis of 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.