Strategic Data Analyst, Governance and Risk Metrics

Capital One; McLean (VA); On-site; USD 131,000 - 150,000; Full time

Job summary

Capital One in McLean, VA seeks a Principal Data Analyst to drive data risk metrics, dashboards, and governance. You will partner with leaders to publish enterprise metrics and evolve data products, enabling data-driven decisions across the organization.

You will use AI to transform how data risk metrics are created and consumed, mentor teams, and contribute to long-term data management strategy. A quantitative degree plus experience is required, with AWS and BI tooling proficiency highly valued.

Qualifications

• Bachelor's degree in quantitative field plus 5 years of analytics experience, or a Master's with 3 years of analytics experience.
• Experience with at least one scripting language.
• Experience using BI visualization tools.
• Experience querying and analyzing data languages and platforms.

Responsibilities

• Define, standardize, and publish enterprise data risk metrics across LOBs.
• Build and evolve dashboards and data products for data governance.
• Monitor metrics, identify risks and trends, and provide actionable insights to leaders.
• Translate policies into meaningful metrics and monitoring; use AI to automate data risk metrics.
• Lead cross-functional initiatives and present insights to Senior Director+ leaders.
• Shape long-term data management strategy and governance.

Skills

Python

SQL

R

Spark

Education

Bachelor's degree in quantitative field

Master's degree preferred

Tools

AWS

BI visualization tools

Job description

Capital One in McLean, VA seeks a Principal Data Analyst to drive data risk metrics, dashboards, and governance. You will partner with leaders to publish enterprise metrics and evolve data products, enabling data-driven decisions across the organization.

You will use AI to transform how data risk metrics are created and consumed, mentor teams, and contribute to long-term data management strategy. A quantitative degree plus experience is required, with AWS and BI tooling proficiency highly valued.