Senior Data Analyst- Banking

Tiger Analytics Inc.; McLean (VA); On-site; USD 95,000 - 150,000; Full time

Job summary

Tiger Analytics Inc. is seeking an experienced Senior Data Analyst to join our fast-growing analytics consulting firm. You will collaborate with Fortune 500 clients to transform data into actionable business insights using Python, SQL, and cloud technology.

You will work with large datasets, build data solutions, and develop dashboards to support decision-making in a client-facing role. The ideal candidate has strong data analysis and consulting experience in financial services.

Qualifications

• Master's degree in Computer Science or related field.
• 5+ years of experience in Data Analytics, preferably in Tier-1 financial institutions 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).
• Understanding of banking/financial services data is must have.
• Experience in client-facing or consulting environment.
• Hands-on experience in data analysis, data profiling, and exploratory analysis.
• Experience with transforming data and documenting transformation logic and rules.

Responsibilities

• Partner with business stakeholders to translate 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 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 Looker) for stakeholders.
• Collaborate with cross-functional teams to translate requirements into data solutions.

Skills

SQL

Python

Data Visualization

Cloud technologies

PySpark

Education

Master's degree

Tools

Databricks

Jupyter

Tableau

Power BI

Looker

Looker

Job description

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. 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 Data Analyst - with strong experience in Python, SQL, 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.
• 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

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.

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.