Senior Data Analyst- Banking

Tiger Analytics Inc. • McLean, VA

1d

About The Position

Tiger Analytics is looking for an experienced Senior Data Analyst 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. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. This role requires someone who is comfortable working with large datasets, transforming data, and collaborating with cross-functional teams in a fast-paced environment.

Requirements

• Master's degree in Computer Science or any related field
• 5+ 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.).
• 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.

Nice To Haves

• Strong experience in Python, SQL, and cloud technologies.
• Hands-on experience working with SQL, data analysis, and consulting, and performing data analysis to support business insights and decision-making.

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.
• Experience handling large-scale consumer banking, credit risk, or payment processing datasets.
• Consume and manage data from AWS S3 and integrate with downstream systems.
• Build and maintain dashboards (Tableau, Power BI, or QuickSight) for business stakeholders.
• Collaborate with cross-functional teams to translate business requirements into data solutions.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior