Senior Analytics Engineer (K12)

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July 28

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Schoolytics

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Education • SaaS • B2B

Schoolytics is a data platform designed specifically for educational institutions such as school districts and schools. It integrates and unifies various data sources to provide comprehensive insights into student outcomes, attendance, grades, behavior, and assessment scores. Schoolytics offers tools for building and sharing data dashboards that track student progress and monitor outcomes effectively. The platform supports Multi-Tiered System of Supports (MTSS) processes by simplifying documentation and monitoring the effectiveness of interventions. It also provides advisory services where data science experts help transform complex data into actionable insights, aiding district leaders, educators, students, and parents in improving educational strategies and outcomes.

2 - 10 employees

📚 Education

☁️ SaaS

🤝 B2B

💰 Seed Round on 2021-12

📋 Description

• Develop and maintain custom integrations and ETL processes between SIS platforms (PowerSchool, Infinite Campus, Aeries) and internal/external systems. • Design, implement, and optimize data pipelines • Collaborate with stakeholders to understand data needs and deliver robust, scalable solutions. • Maintain technical documentation for systems, data models, and processes. • Monitor and troubleshoot data flow issues and respond to API changes. • Participate in cross-functional projects related to school operations, enrollment, attendance, and performance data. • Perform quality assurance (QA) on downstream data to ensure accuracy, consistency, and alignment with customer requirements.

🎯 Requirements

• 4+ years of experience in software engineering, data engineering, or SIS specialist role • Hands-on experience with Student Information Systems like PowerSchool, Infinite Campus, and/or Aeries, including APIs, data exports/imports, and plugin development • Strong skills in SQL, Python, and ETL/ELT tools • Experience working with RESTful APIs, SFTP, and other data exchange methods • Experience in working with educational data • Familiarity with data warehousing concepts • Experience with data quality assurance practices and tools, including validation and reconciliation of datasets • Strong attention to detail and ability to translate customer data requirements into technical specifications and QA checks • Ability to work independently in a fully remote position

🏖️ Benefits

• Dental and medical insurance • 401k match • Flexible PTO