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 ResponsibilitiesPartner 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.Experience handling 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 solutionsRequirementsMaster's degree in Computer Science or any related field7+ 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 with AWS (S3) and SnowflakeUnderstanding of banking/financial services data is must haveExperience 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.BenefitsSignificant 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.
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.
- Experience handling 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 any 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 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 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.
