Senior Analytics Manager – Banking & Data Insights

Tiger Analytics; Richmond (VA); On-site; USD 150,000 - 190,000; Full time

Job summary

Tiger Analytics is seeking an experienced Senior Consultant/Manager to join our fast-growing analytics consulting firm in the United States. The role emphasizes hands-on data analysis, data engineering, and client-facing advisory across banking and financial services datasets.

Ideal candidates have strong Python, SQL, Snowflake, and cloud technology experience, with a track record in delivering data-driven business insights.

Qualifications

• Master's degree in Computer Science or related field.
• 7+ years of Data Analytics experience, preferably in Tier-1 financial institutions.
• Strong SQL skills for large datasets.
• Proficiency in Python for data analysis.
• Experience with data visualization tools (Power BI, Tableau, Looker).
• Hands-on with AWS S3 and Snowflake.
• Client-facing or consulting experience.

Responsibilities

• Partner with business stakeholders to understand and translate needs into requirements.
• Work with large datasets using Python/PySpark (Databricks/Jupyter) for processing and analysis.
• Write efficient SQL queries for data extraction, transformation and validation.
• Familiarity with regulatory reporting (CCAR, Basel, AML/KYC) and consumer data.
• Handle large-scale banking, credit risk, or payment datasets.
• Consume and manage data from AWS S3 and integrate with downstream systems.
• Leverage Snowflake for warehousing, modeling, and performance optimization.
• Build and maintain dashboards (Tableau, Power BI, QuickSight).
• Collaborate with cross-functional teams to translate requirements into data solutions.

Skills

Python

SQL

Data Analytics

Data Visualization

Education

Master's degree in Computer Science or related field

Tools

Snowflake

AWS S3

Databricks

Tableau

Power BI

Looker

Jupyter

Job description

Tiger Analytics is seeking an experienced Senior Consultant/Manager to join our fast-growing analytics consulting firm in the United States. The role emphasizes hands-on data analysis, data engineering, and client-facing advisory across banking and financial services datasets.

Ideal candidates have strong Python, SQL, Snowflake, and cloud technology experience, with a track record in delivering data-driven business insights.