W2 - Lead Data Analyst – Banking

McLean, VA, US • Posted 12 hours ago • Updated 12 hours ago
Contract Independent
6 Months
Travel Required
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • Financial Services
  • Data Extraction
  • Data Analysis
  • Data Processing
  • Modeling
  • Decision-making
  • Finance
  • Jupyter
  • Management
  • Microsoft Power BI
  • Data Profiling
  • Data Visualization
  • Data Warehouse
  • Databricks
  • Conflict Resolution
  • Credit Risk
  • Customer Facing
  • Dashboard
  • Amazon Web Services
  • Banking
  • Problem Solving
  • PySpark
  • Collaboration
  • Computer Science
  • Payment Processing
  • Performance Tuning
  • Teamwork
  • Tier 1
  • Tableau
  • Amazon S3
  • Python
  • SQL
  • Scripting
  • Snow Flake Schema

Summary

Title- Lead Data Analyst – Banking

Location- Richmond and McLean, VA (onsite)

 

We are looking for a Lead Data Analyst - with strong experience in Python and SQL,. 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.
  • 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
  • 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.).
  • 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.

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91126058
  • Position Id: 9045354
  • Posted 12 hours ago
Contact the job poster
Anusha Chenna

Anusha Chenna

Recruiter @ Prohires
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