Analytics Engineer

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Packback

51 - 200 employees

Founded 2014

📚 Education

🤖 Artificial Intelligence

☁️ SaaS

💰 Private equity on 2024-04

Education • Artificial Intelligence • SaaS

Packback is an education technology company that provides an AI-powered, pedagogy-first platform for inquiry-based student discussions, real-time writing feedback, and originality/plagiarism prevention for K-12 and higher education institutions. The SaaS platform automates formative feedback and grading assistance, integrates with learning management systems, and emphasizes responsible, transparent use of AI to improve student engagement, writing skills, and learning outcomes.

📋 Description

• Consult with teams across the organization to translate key product and business processes into technical data requirements. Use dbt, BigQuery, and SQL to build up Packback’s metrics layer to enable self-serve access to core analytics. • Build, optimize, and orchestrate data pipelines with dbt, Airflow, and Python • Establish data integrity standards and SLAs to ensure timely, accurate delivery of data • Build insightful and reliable dashboards to track performance of core company metrics across the product and business • Collaborate with business operations teams to define and train on best practices with respect to data modeling, analytics, and visualization • Collaborate with leadership to conduct analyses and apply statistical methods to answer day-to-day questions or support larger initiatives • Work within Packback’s research function with partner institutions and perform in-depth analyses to understand how Packback’s products are driving key student outcomes • Consult on the adoption of new technologies that impact Packback’s data infrastructure

🎯 Requirements

• At least 2 years of experience in an analytics focused role - analytics engineer, data engineer, or analyst/consultant with a strong technical background • Expert with SQL and experience with Python or other scripting languages • Experience using dbt in a modern data warehouses (BigQuery, Redshift, Snowflake, etc.) • Experience with software development best practices applied to data (CI/CD, automated testing, version control) • Strong story-teller with data and experience with visualization tools (Lightdash, Looker, Tableau, PowerBI, etc.) • Strong business acumen and the ability to work through complex and ambiguous business requirements with non-technical stakeholders

🏖️ Benefits

• 12 weeks of paid leave for welcoming new children • Multiple Health and Welfare Benefit Options (Medical, Dental, Vision) • 401k plan (with employer matching) • Flexible + Remote Work Opportunities • Unlimited Paid Time Off (PTO) • Employer Assistance Program (EAP) • Calm and DoorDash subscriptions

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