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SPEND - Senior Data & Systems Analyst
Remote (U.S.-based)About the SPEND Initiative
Live, first seen by us 20 days ago- Pay
$90,000–110,000/yearLocation-specific pay — pay source
Compensation and Transparency The salary for this role is $90,000-110,000 annually. Salaries will be adjusted for geography based on the candidate's primary work location. ERS equivalent job tier for benefits purposes: Level II About Our Fiscal Sponsor: Education Resource Strategies (ERS)
Read the full posting- Work setting
Remote — work setting source
Modernizing America’s Education Finance Data InfrastructureSenior Data & Systems Analyst Location: Remote (U.S.-based)About the SPEND Initiative Accurate and comparable education finance data is the essential foundation for effective governance and robust research. The Strategic Public Education National Data (SPEND) Initiative is a non-partisan organization and a fiscally sponsored project of Education Resource Strategies (ERS). Our mission is to maintain and modernize the technical pipeline that improves the accuracy, comparability, and timeliness of education finance data. We aim to provide a stable, objective data foundation—a modern data utility that serves the needs of researchers, state and district leaders, and the broader education field.
Listed location: Remote
Read the full posting- Employment
- Not stated
Before you apply
- Work authorization
- Must already have the right to work in the US
Must be authorized to work for an employer in the United States
What you’ll work on
Full postingSPEND is seeking a Senior Data & Systems Analyst to support the development, validation, and analysis of the next generation of education finance data.
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.
Build and maintain quality checks that flag anomalies and outliers in district and state finance data
Incorporate pension and facilities obligations into the datasets
Create and maintain training data for models that map local accounting codes to national categories
Manually validate ML outputs against real district spending data and conduct error analysis
Support data pipelines and ingestion processes for internal data systems
From the employer’s posting
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.
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.
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.
support internal data systems and ingestion processes through data pipelines.
Education & alternatives
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.
- 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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 16, 202620 days ago
- Recorded sightings
- 21
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Education Resource Strategies is hiring
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Where the posting names them
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.
Your next step
Complete your application on educationresourcestrategies.applytojob.com. The employer’s form will show what is required.
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Job description
Strategic Public Education National Data (SPEND) InitiativeModernizing America’s Education Finance Data Infrastructure
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.
Enhancing the Present
Focus: Dataset Curation, Organization, Standardization and Process Validation
Summary: Lead on QA/verification, support on statistical alignment & process work
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.
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.
Meeting every preferred qualification is not required to advance in our search. Alignment with our mission, objective values, and technical impact is critical.
Required
The salary for this role is $90,000-110,000 annually. Salaries will be adjusted for geography based on the candidate's primary work location.
ERS equivalent job tier for benefits purposes: Level II
ERS is a national non-profit consulting firm that partners with school system leaders to transform how they use resources so that every student can learn and thrive.
ERS is an equal opportunity employer and does not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, ancestry, pregnancy, or military service.
Senior Data & Systems Analyst
Location: Remote (U.S.-based)About the SPEND Initiative
Accurate and comparable education finance data is the essential foundation for effective governance and robust research. The Strategic Public Education National Data (SPEND) Initiative is a non-partisan organization and a fiscally sponsored project of Education Resource Strategies (ERS). Our mission is to maintain and modernize the technical pipeline that improves the accuracy, comparability, and timeliness of education finance data. We aim to provide a stable, objective data foundation—a modern data utility that serves the needs of researchers, state and district leaders, and the broader education field.
Why Work at SPEND?
- Preserve and Upgrade National Data Infrastructure: Your work directly contributes to sustaining and improving the longitudinal school finance datasets that underpin billions of dollars in funding and decades of research on resource allocation and system effectiveness.
- Execute Technical Modernization: Transition the national data infrastructure from fragmented legacy reporting to automated, high-quality systems, establishing an objective foundation for fiscal data collection and transparency.
- Join a Mission-Focused Team with Institutional Stability: Contribute as a foundational member of a new initiative supported by a multi-year general operating grant and the established operational infrastructure of ERS.
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 PresentFocus: 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.
- 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.
- Advanced degree (Master's or PhD).
- Experience with public sector data systems or education finance reporting structures.
Compensation and Transparency
The salary for this role is $90,000-110,000 annually. Salaries will be adjusted for geography based on the candidate's primary work location.ERS equivalent job tier for benefits purposes: Level II
About Our Fiscal Sponsor: Education Resource Strategies (ERS)
ERS is a national non-profit consulting firm that partners with school system leaders to transform how they use resources so that every student can learn and thrive.ERS is an equal opportunity employer and does not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, ancestry, pregnancy, or military service.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Compensation and Transparency The salary for this role is $90,000-110,000 annually. Salaries will be adjusted for geography based on the candidate's primary work location. ERS equivalent job tier for benefits purposes: Level II About Our Fiscal Sponsor: Education Resource Strategies (ERS)
- Location & working pattern
Remote
Modernizing America’s Education Finance Data InfrastructureSenior Data & Systems Analyst Location: Remote (U.S.-based)About the SPEND Initiative Accurate and comparable education finance data is the essential foundation for effective governance and robust research. The Strategic Public Education National Data (SPEND) Initiative is a non-partisan organization and a fiscally sponsored project of Education Resource Strategies (ERS). Our mission is to maintain and modernize the technical pipeline that improves the accuracy, comparability, and timeliness of education finance data. We aim to provide a stable, objective data foundation—a modern data utility that serves the needs of researchers, state and district leaders, and the broader education field.
More source context
- 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.
- Work authorization
- 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).