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Skills
Amazon Simple Storage Service (S3)unmatched
Bank Managementunmatched
Banking Servicesunmatched
Business Supportunmatched
Channel Strategiesunmatched
Cloud Computingunmatched
Comprehensive Capital Analysis and Review (CCAR)unmatched
Consultingunmatched
Consumer Financeunmatched
Consumer Loansunmatched
Credit Riskunmatched
Cross-Functionalunmatched
Data Analysisunmatched
Data Managementunmatched
Data Processingunmatched
Data Setsunmatched
Data Warehousingunmatched
Fortune 500 Customersunmatched
Know Your Customer (KYC)unmatched
Leadershipunmatched
Market Researchunmatched
Needs Assessmentunmatched
Payment Processingunmatched
Performance Modelingunmatched
Performance Tuning/Optimizationunmatched
Power BIunmatched
Python Programming/Scripting Languageunmatched
Regulatory Reportsunmatched
Reporting Dashboardsunmatched
Requirements Managementunmatched
SQL (Structured Query Language)unmatched
Snowflake Schemaunmatched
System Integration (SI)unmatched
Tableauunmatched
Description
Tiger Analytics is looking for experienced Senior Consultant/ Manager to join our fast-growing advanced analytics consulting firm. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
We are looking for 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, and performing data analysis to support business insights and decision-making.
This role requires someone who is comfortable working with large datasets, transforming data, and collaborating with cross-functional teams in a fast-paced environment.
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.
Familiarity with regulatory reporting (e.g., CCAR, Basel, AML/KYC) and consumer financial data.