ParentSquare
Education • SaaS • B2B
ParentSquare is a unified, AI-enhanced communication platform purpose-built for K–12 schools and districts. It centralizes mass notifications, classroom and one-to-one messaging, forms and permission slips, attendance tools, school websites, secure document delivery, payments, and analytics to streamline engagement between educators, families, and staff. The platform emphasizes two-way translation, SIS integrations, data privacy, and easy onboarding, and is delivered as a software service used by districts and schools to improve family engagement and operational workflows.
Director of Data
Job not on LinkedIn
November 20
ParentSquare
Education • SaaS • B2B
ParentSquare is a unified, AI-enhanced communication platform purpose-built for K–12 schools and districts. It centralizes mass notifications, classroom and one-to-one messaging, forms and permission slips, attendance tools, school websites, secure document delivery, payments, and analytics to streamline engagement between educators, families, and staff. The platform emphasizes two-way translation, SIS integrations, data privacy, and easy onboarding, and is delivered as a software service used by districts and schools to improve family engagement and operational workflows.
📋 Description
• Partner with Teams: Work directly with our Product, Engineering, Finance, Customer Success, and other departments to understand their data needs and deliver impactful solutions. • Build and Deploy Solutions: Prototype and launch data-powered tools and automations, both for our customers and for the company. • Champion Data Adoption: Create clear documentation, lead training sessions, and act as the internal expert to help teams more effectively use data tools within their workflows. • Measure and Optimize: Help us define key success metrics and track their performance.
🎯 Requirements
• Proven success building and scaling data in a high-growth SaaS or technology company • Fluency in scripting languages like Python and data querying languages like SQL • Experience managing components through the entire data stack (we use tools like Redshift, dbt, Fivetran, and Hightouch) • Experience managing analytics platforms (we use AWS Quick Suite) • Experience understanding and delivering on stakeholder needs, whether through an adhoc analysis or company-level dashboard • Experience with a variety of machine learning algorithms, such as regression, gradient boosted trees, and topic modeling • Experience with LLMs and other AI tools for analytics is a bonus!
🏖️ Benefits
• Employer-paid health insurance (including dependent coverage) • An employer-matched 401K retirement savings program from day 1 • Paid Parental Leave • Stock options • Health + wellness reimbursements • Generous PTO • 15 paid holidays, including your birthday!
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