Senior Data Analyst: Governance, Analytics & Automation

Strategic Staffing Solutions, Inc.; McLean (VA); Hybrid; USD 57,000 - 81,000; Full time

Job summary

Strategic Staffing Solutions, Inc. is seeking a Senior Data Analyst for a hybrid role in the Richmond, VA or McLean, VA area. The contract spans 15 months with a pay rate of $50 per hour (W2 only).

The role focuses on enterprise data management, governance, analytics, and reporting within a large-scale data environment. You will collaborate with data analysts, risk managers, and data product teams to improve data quality, automate controls, and deliver actionable insights using Python, SQL,

Qualifications

• Experience with large enterprise data environments.
• Hands-on Python and SQL for analysis and automation.
• Experience with PySpark and Databricks.
• Experience with BI tools; QuickSight preferred.
• Strong data governance and data quality knowledge.
• Ability to translate technical findings to business.

Responsibilities

• Develop and improve data management controls and analytics in a large-scale data environment.
• Collaborate with data product teams and stakeholders to strengthen data governance and quality.
• Analyze large datasets using Python, SQL, PySpark, Databricks, and BI tools to deliver actionable insights.
• Design and enhance reporting solutions, dashboards and analytical processes for decision support.
• Identify opportunities to automate and improve data workflows and controls.

Skills

Data analysis

Python

SQL

AI tools

Problem solving

Communication

Independent work

Tools

PySpark

Databricks

Amazon QuickSight

Job description

Strategic Staffing Solutions, Inc. is seeking a Senior Data Analyst for a hybrid role in the Richmond, VA or McLean, VA area. The contract spans 15 months with a pay rate of $50 per hour (W2 only).

The role focuses on enterprise data management, governance, analytics, and reporting within a large-scale data environment. You will collaborate with data analysts, risk managers, and data product teams to improve data quality, automate controls, and deliver actionable insights using Python, SQL,