Senior Data & Systems Analyst

Job not on LinkedIn

🔥 10 minutes ago

🇺🇸 United States – Remote

💵 $90k - $110k / year

⏰ Full Time

🟠 Senior

⚙️ Systems Engineer

Where this job comes from

Posted on Education Resource Strategies's careers page, not through a job board

First seen by Remote Rocketship 10 minutes ago

Logo of Education Resource Strategies

Education Resource Strategies

51 - 200 employees

📚 Education

🤝 Non-profit

💼 Consulting

Education • Non-profit • Consulting

Education Resource Strategies is a non-profit organization that works closely with leaders of urban public school systems to rethink the use of district and school-level resources. With a focus on strategic resource allocation and management, ERS has been promoting improvement in school performance for over a decade. Their consultants utilize their diverse expertise in finance, organization, education, and analytics to provide tailored diagnostic analyses and actionable strategies for school districts. By bridging research and practice, ERS enhances the educational outcomes for all students through effective resource utilization and system optimization.

📋 Description

• Support development, validation, and analysis of the next generation of education finance data • Contribute to data continuity and enrichment efforts and a machine learning pilot model through quantitative analyses • Support internal data systems and ingestion processes through data pipelines • Create and implement processes to enhance federal school finance data collections through data product development • Build and maintain quality assurance processes to identify anomalies and outliers in district- and state-level financial data • Incorporate long-term obligations such as pension and facilities expenditures into datasets • Implement processes to incorporate contributions from subcontractor subject matter experts • Support development and release of datasets and interactive web tools • Support creation and maintenance of training data for machine learning models mapping local accounting codes to standardized national categories • Manage manual validation of machine learning outputs against real-world district spending data • Evaluate model outputs and conduct error analysis with the technical team • Analyze finalized datasets to identify and resolve anomalies before public release • Document analytical methods, assumptions, and validation results reproducibly • Contribute to cloud infrastructure development, maintenance, and improvement • Develop internal and public-facing methodological documentation • Collaborate with scientists, engineers, policy experts, state and district leaders, and other stakeholders

🎯 Requirements

• Bachelor’s in Data Science, Computer Science, Public Policy, or a related field • Working knowledge of Python and SQL • Familiarity with modern cloud data infrastructure such as Google Cloud Platform • Professional experience with version control through git • 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 for core working hours of 10 AM–5 PM ET • Ability to travel 4–6 times per year for in-person team collaboration and approximately 2–3 additional trips per year for external partner engagement • Ability to operate a computer and other office productivity machinery for extended periods • Ability to remain stationary for a significant portion of the workday • Ability to communicate via video conference • Access to a quiet, professional remote work environment with reliable, high-speed internet • Must be authorized to work for an employer in the United States • Advanced degree (Master's or PhD) preferred • Experience with public sector data systems or education finance reporting structures preferred

🏖️ Benefits

• Salaries adjusted for geography based on the candidate's primary work location • Benefits associated with ERS Level II job tier • Travel for in-person team collaboration and external partner engagement

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