Senior Consultant/ Manager(Data Analyst) - Banking

Tiger Analytics, LLC; McLean (VA); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Tiger Analytics, LLC is hiring a Senior Consultant/Manager to drive data analytics initiatives for major financial institutions. You will lead data analysis, profiling, and transformation efforts using Python, SQL, and cloud tech, while delivering insights to stakeholders.

The role requires hands-on work with AWS S3, Snowflake, and data visualization tools, plus collaboration with cross-functional teams in a fast-paced consulting environment.

Qualifications

• Master's degree in Computer Science or related field.
• 7+ years of data analytics experience, preferably in financial services.
• Strong SQL expertise for large datasets.
• Proficient Python for data analysis and scripting.
• Experience with data visualization tools (Tableau/Power BI/Looker).
• Hands-on with AWS S3 and Snowflake.
• Familiarity with banking/financial services data.
• Previous client-facing/consulting experience is a plus.
• Ability to analyze, profile, and document transformation logic.

Responsibilities

• Partner with stakeholders to translate business needs into data solutions.
• Work with large datasets using Python/PySpark for processing and analysis.
• Write efficient SQL queries for extraction, transformation, and validation.
• Utilize Snowflake for warehousing, modeling, and performance optimization.
• Build dashboards for business stakeholders using Tableau/Power BI/Looker.
• Collaborate with cross-functional teams to deliver data-driven insights.
• Engage in data analysis, profiling, and exploratory studies.
• Document data transformation rules and logic clearly.
• Support regulatory data needs and client projects with rigor.

Skills

Python

SQL

Snowflake

PySpark

Databricks/Jupyter

Cloud technologies

Data analysis

Client-facing

Education

Master's degree in Computer Science or related field

Tools

Tableau

Power BI

Looker

AWS S3

Job 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.
• 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

• 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.

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.