Senior Data & Systems Analyst

Role Overview SPEND is seeking a Senior Data & Systems Analyst to support the development, validation, and analysis of the next generation of education finance data. The Senior Data & Systems Analyst will serve as a cross-cutting team member contributing to SPEND’s 1.) data continuity and enrichment efforts and 2.) cutting-edge machine learning (ML) pilot model through the development and execution of quantitative analyses. The ideal candidate will have previous experience in both data analytics and education to ensure organization strategy and methods properly account for the current data landscape, the perspectives of data providers, and the needs of data users. Key Responsibilities Enhancing the Present Focus: Dataset Curation, Organization, Standardization and Process Validation Summary: Lead on QA/verification, support on statistical alignment & process work In collaboration with senior technical staff, support internal data systems and ingestion processes through data pipelines. Support the Senior Associate Data Scientist to create and implement processes to enhance current federal school finance data collections through data product development. Build and maintain quality assurance processes that identify anomalies and outliers in district- and state-level financial data. Deepen current data by accurately and completely incorporating long-term obligations such as pension and facilities expenditures. Implement processes to correctly incorporate contributions from sub-contractor subject matter experts. Support development and release of data products (datasets, interactive web tools) to share SPEND and public education finance data. Building the Future Focus: Data System Management, Dataset Improvement and Alignment Summary: Support Senior Associate Data Scientist and ML Engineer in model creation through data system support. Support creation and maintenance of training data for machine learning models that map local accounting codes to standardized national categories. Manage the manual validation of the ML outputs, checking automated results against real-world district spending data. Evaluate model outputs and conduct error analysis in collaboration with the technical team. Performs deep-dive analysis on finalized datasets to identify and resolve anomalies before public release. Cross-Cutting Contributions Document analytical methods, assumptions, and validation results clearly and reproducibly. Contribute to development, maintenance, and improvement of cloud infrastructure to support short-term and long-term objectives. Develop internal and public-facing methodological documentation to build trust in, and encourage use of SPEND data products across audience groups. Regularly collaborate with team members (scientists, engineers, etc.) and external stakeholders (policy experts, state and district leaders, etc.) to advance the organizational mission. Why This Role Matters The data SPEND produces underpins billions of dollars in education funding and decades of research on equity and effectiveness. As a Senior Data & Systems Analyst at SPEND, your work will directly contribute to preserving and improving a critical piece of the nation’s education data infrastructure. Qualifications Meeting every preferred qualification is not required to advance in our search. Alignment with our mission, objective values, and technical impact is critical. Required Bachelor’s in Data Science, Computer Science, Public Policy, or a related field. Working knowledge of Python, SQL, and familiarity with modern cloud data infrastructure such as Google Cloud Platform. Experience with version control through git in a professional setting. Demonstrated experience working as part of a high-performing technical team. Experience translating analytical models and findings into clear policy insights. Experience working with messy and inconsistently structured datasets. Availability: Must be available for core working hours of 10 AM – 5 PM ET to support national team collaboration. Travel: Ability to travel 4–6 times per year for in-person team collaboration, with approximately 2–3 additional trips per year for external partner engagement. Physical & Environmental: Ability to operate a computer and other office productivity machinery for extended periods; ability to remain in a stationary position for a significant portion of workday; ability to communicate via video conference. Remote Work: Access to a quiet, professional remote work environment with a reliable, high-speed internet connection. Work Authorization: Must be authorized to work for an employer in the United States. We are unable to sponsor or take over sponsorship of an employment visa at this time. Preferred Advanced degree (Master’s or PhD). Experience with public sector data systems or education finance reporting structures.