New Classrooms

Data Analyst

• Support the Insights & Analytics team in collecting, organizing, and analyzing programmatic data to help New Classrooms better understand student outcomes and program performance
• Translate data requests from internal stakeholders into clean, well-documented analyses, and present findings in ways that are accessible to both technical and non-technical audiences
• Work alongside applied data scientists, product managers, and program leaders
• Extract, clean, and prepare data from multiple sources, to support recurring and ad hoc reporting needs
• Conduct exploratory and descriptive analyses to identify trends, patterns, and anomalies in student and program data
• Maintain and document data queries, transformation logic, and analytical workflows to support team consistency and reproducibility
• Build and maintain dashboards and reports in Metabase (or comparable BI tools such as PowerBI or Tableau) to support decision-making across the organization
• Translate analytical findings into clear, well-designed visualizations for a range of audiences, including program teams, leadership, and external partners
• Partner with colleagues across Program Success, Product, and Academic teams to understand data questions and ensure analyses are grounded in operational and programmatic context

Chief Technology Officer

• Set and execute engineering strategy aligned with company goals, product vision, and roadmap.
• Lead, mentor, and manage four director-level direct reports across engineering, quality assurance, DevOps, and IT/Cybersecurity.
• Build and sustain a high-performing, remote-first engineering culture grounded in our core values, with a strong emphasis on ownership, accountability, and continuous improvement.
• Translate product vision and roadmap into executable engineering plans with clear milestones and trade-off decisions.
• Ensure engineering decisions proactively enable — rather than constrain — future product possibilities.
• Drive adoption of AI-assisted development workflows — including AI coding tools, automated testing, and code review — to measurably improve team velocity and quality.
• Provide technical oversight and strategic direction for the company’s data warehouse, including schema design and ETL/ELT pipelines.
• Drive a culture of frequent, reliable software delivery while reducing cycle time and deployment friction through CI/CD improvements.