Data Analyst with AI

Role: Data Analyst
Location: Richmond VA or Meclan, VA (Hybrid)
Employment: W2
Exp: 7+

Notes
Data engineer or Analyst – mix of both is good
In general he wants a combination of both skill sets
Mainly looking for technical skills- Python, scripting, databricks
AI tools
Python
AWS
Cloud how to work with AWS
Data engineering
SQL
Snowflake -already have people with this experience
Databricks -important
-Both important but if they are better at one than other that is ok
Mainly scripting, data management, automation
Exposure to Claude is good- team will be using this heavily
Financial services background- any industry will be ok
No strong restriction on previous migration experience
Exposure to Claude is good
Will be looking for active migration
Need to change their process to consume to newer sources
Data validations
Experience level: 5-6 years

Independent Ownership: Manage the full lifecycle of data projects—from gathering requirements with Product and Process partners to executing technical solutions and presenting outcomes to leadership.
Data Engineering & Platform Enablement: Build, maintain, and scale robust data pipelines and analytical data products specifically tailored for the Card LOB.
Controls Modernization & Risk Management: Leverage enterprise and industry technologies to modernize business and regulatory controls, ensuring operational excellence and transparency.
Strategic Initiatives: Contribute to high-impact, complex initiatives including data infrastructure modernization, Discover integration, and the convergence toward enterprise data products.
AI-First Innovation: Utilize AI-assisted development tools and methodologies to accelerate coding, data curation, and analytical workflows.
Collaborative Environment: Participate in stand-ups, knowledge-sharing sessions, and dedicated collaboration channels.
Work daily with modern data and AI technologies (with comprehensive training provided for enterprise-specific platforms):
Core Languages & Platforms: SQL, Snowflake, Databricks, Python
Version Control & Collaboration: GitHub
AI Development Tools: GitHub Copilot, Claude
Enterprise Platforms: eDQ, EMP, Snowland, Skycap (Capital One Specifc)

Qualifications:
Analytical & Coding Proficiency: Strong foundation in data analysis and programming (SQL/Python) with a drive to master new enterprise tools.
AI-First Mindset: Enthusiasm for integrating generative AI tools and modern methodologies into daily engineering and analytical workflows.
Business & Domain Curiosity: Ability to quickly grasp complex business contexts and translate ambiguous requirements into well-documented technical solutions.
Ownership & Communication: High degree of independent problem-solving paired with strong written and verbal communication skills to engage stakeholders and leadership effectively.