Enterprise Data Analyst

Why join our team?

With a mission that spans the globe, the USO provides a rewarding and fulfilling work environment. Our team is exceptional, and we offer generous paid time off, including volunteer days and military leave. We have a remarkable 401k match, comprehensive benefits, and opportunities for training and education reimbursement. Our team members are passionate about putting the mission first, and we have a lot of fun while doing it. Working for the USO isn't just a job – it's a calling, and we believe in doing what you love and loving what you do.

A Certified Great Place to Work®

Don’t just take our word for it—our people have spoken. According to the Great Place to Work® 2025–2026 survey:

• 96% feel good about how we support the community
• 94% are proud to tell others they work at the USO
• 92% say their work has special meaning—it’s not “just a job”
• 91% felt welcomed from day one
• Over 88% agree all employees are treated fairly, regardless of race or gender

The Enterprise Data Analyst supports the enterprise data function by serving as a first point of contact for data requests across the organization, conducting investigative and exploratory analyses, and helping maintain the integrity and usability of enterprise data assets. This role operates at the intersection of operational complexity and analytical inquiry, and requires someone who can hold ambiguity, navigate multiple competing priorities simultaneously, and use analytical tools to surface emergent issues and opportunities.
The Enterprise Data Analyst works across organizational functions and stakeholder types, translating requests and needs, scoping incoming requests, and identifying where data breaks down, diverges, or misleads across systems. While reporting and dashboard responsibilities are part of this role, it is primarily an investigative and operational role.

Principal Duties and Responsibilities (*Essential Duties)

• Conduct investigative and exploratory analysis across data sources and systems (using python, SQL) to surface patterns, anomalies, and data quality issues with the potential to impact business decisions and strategy.*
• Serve as primary cross-functional intake point for enterprise data requests, clarifying ambiguous asks, identifying underlying questions, and scoping work appropriately as a coordinating function.*
• Work across multiple enterprise systems to understand how data flows between platforms, where definitions diverge, and where records degrade or conflict over time.*
• Translate between technical and non-technical stakeholders across functions; able to speak creditably to mission delivery program managers, fundraising staff, finance, and technical administrators.*
• Support the documentation of data intake processes, operational workflows, and analytical findings in ways that make the enterprise data function more accessible and scalable for the organization.*
• Identify data quality issues, definitional inconsistencies, ontological drift, and systemic risks as a routine part of analytics work, escalating and flagging findings to inform data governance and remediation priorities.
• Contribute to the development of lightweight operational tools, scripts, and automated queries that reduce manual data handling across the organization.
• Other duties as assigned.
• This is an in-person position located in Arlington, VA.

Job Specifications

• Bachelor’s Degree in a relevant field or equivalent demonstrated experience. Fields that reflect operational, research or analytical operations are of particular interest (public administration, research operations, public health or social science, policy analysis, or similar).
• 3-5 years of progressively responsible experience in a role that required analytical and systems thinking applied to real operational problems, where work was defined by complexity not by clean specifications.
• Relevant experience in nonprofit, government, military-adjacent, or mission-driven organizational context is a plus.
• Demonstrated proficiency in python for data analysis and exploration. Candidates should be comfortable working with real-world data; additional experience with SQL is preferred.
• Experience working with or alongside enterprise CRM platforms with understanding of how data integrity issues arise through system use over time; experience with Salesforce Non-Profit Cloud strongly preferred.
• Proven ability to work across functional teams with competing priorities and varying levels of data literacy, including experience communicating technical findings to non-technical audiences.
• Strong interpersonal, and written and verbal communication skills; this ro