Senior Consultant/ Manager- Banking

About the role

Tiger Analytics is the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our leadership has been recognized by Forrester and Gartner. We are building the best global analytics consulting team and seek a Senior Consultant/Manager with strong experience in Python, SQL, Snowflake, and cloud technologies.

The ideal candidate will have hands-on experience working with SQL, data analysis, and consulting, performing data analysis to support business insights and decision-making. This role requires someone comfortable working with large datasets, transforming data, and collaborating with cross-functional teams in a fast-paced environment.

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
• Handle regulatory reporting (e.g., CCAR, Basel, AML/KYC) and consumer financial data
• Manage large-scale consumer banking, credit risk, or payment processing datasets
• 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

• Master's degree in Computer Science or a related field
• 7+ years of experience in Data Analytics, preferably within Tier-1 financial institutions, top 10 U.S. national banks, or global consumer banking
• 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 experience with AWS (S3) and Snowflake
• Understanding of banking/financial services data (must have)
• Experience working in a client-facing or consulting environment
• Hands-on experience in data analysis, data profiling, and exploratory analysis
• Experience analyzing, identifying, and documenting transformation logic and rules
• Excellent teamwork and problem-solving abilities

Benefits

• Significant career development opportunities as the company grows
• Unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment
• High degree of individual responsibility