Senior Data Analyst - Onsite 3x/wk, Governance & Dashboards

PTR Global; McLean (VA); Hybrid; USD 76,000 - 83,000; Full time

Benefits offered by this job

Medical insurance

401K contributions

PTO

Job summary

PTR Global is seeking a Senior Data Analyst for a 14+ month contract in McLean, VA (3 days onsite). You will lead meetings with internal customers to define data needs, map requirements for engineering, and support metadata governance.

You will configure data quality rules, coordinate ETL testing, and build dashboards using Python and SQL. Strong communication across legacy Capital One business units, data engineers, and DFS teams is essential.

Qualifications

• Lead meetings with internal customers to determine data needs.
• Requirement mapping and documentation to support engineering partners.
• Metadata registration and data governance activities.
• Configuring data quality rules and testing.
• Coordinate ETL pipelines testing across multiple areas and validate results.
• Strong communication skills with legacy Capital One business, data engineers and DFS team.
• Proficiency in Python and SQL for dashboards and reporting.

Responsibilities

• Lead meetings to determine data needs and translate into technical specs.
• Document data requirements and map to engineering tasks.
• Register metadata and support data governance programs.
• Define and test data quality rules for datasets.
• Coordinate ETL testing across domains and validate results.
• Build dashboards and reports using Python and SQL.

Skills

Python

SQL

Data Governance

ETL Testing

Data Visualization

Stakeholder Meetings

Tools

Tableau

Job description

PTR Global is seeking a Senior Data Analyst for a 14+ month contract in McLean, VA (3 days onsite). You will lead meetings with internal customers to define data needs, map requirements for engineering, and support metadata governance.

You will configure data quality rules, coordinate ETL testing, and build dashboards using Python and SQL. Strong communication across legacy Capital One business units, data engineers, and DFS teams is essential.