Ensure data accuracy, accessibility, and actionability by translating functional data needs into practical solutions for PRI leaders and community partners.

Responsibilities

Making Meaning with Data:

• Design and manage solutions for PRI’s data pipeline architecture with Microsoft Fabric in collaboration with the Data Team and our longitudinal data system vendor.
• Ensure data solutions are aligned with organizational and program goals.
• Monitor and optimize the performance of data systems, ensuring their reliability, efficiency, and security.
• Collaborate with PRI leaders to implement standardized data reporting, analytics, and visualization tools.
• Develop and manage a repository of all data architecture procedures and artifacts.
• Develop PowerBI visualizations and conduct analysis to present findings to PRI leaders and community partners.
• Design and employ predictive models related to student outcomes that identify patterns, relationships, and problems.
• Analyze internal and external data to provide insights into PRI program performance.

Field Learning Support:

• Collaborate with Data Analysts to foster best practices, innovation, and continuous learning, including participation in presentations and teaching demonstrations.
• Evaluate the performance of the longitudinal data system and identify best practices to enhance use and utilization.
• Evaluate data governance policies and identify best practices for improvement.
• Collaborate with cross-functional teams, such as program managers and external partners, to support data driven decision-making and program improvement.
• Across all areas of work, develop and reinforce a data-driven culture.
• Other roles/duties will be assigned as necessary to assist and support in the attainment of our mission, All Rural Students Succeed.

Skillset

• Bachelor’s degree in computer science, economics, management of information systems, statistics, or related field, or an Associate’s degree and three years of relevant experience.
• At least two years of relevant experience with data management, analytics, and visualization.
• Experience with data visualization tools and reporting.
• Experience translating complex, fluid organizational processes into accessible, understandable interfaces.
• Experience empowering non-technical users with intuitive tools for processing and analyzing of data.
• Proficiency in Fabric, PowerBI, SQL, APIs, relational data bases, Excel, Power Automate, and working in the Microsoft environment.
• Proficiency in at least one programming language for statistical computing, such as Python or R.
• Solid foundation in statistics and experience in using regression modeling to explore relationships in large datasets.
• Experience working within public education and/or non-profit services industry is preferred.

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