Data Analyst

Role: Data Analyst

Location: Richmond, VA or Meclan, VA (Hybrid)

Employment: W2

Exp: 7+

Notes

Data engineer or Analyst – a 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 Specific)

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.