Analytics Engineering

Packback

6d•$108,000 - $120,000•Remote

About The Position

Packback is an AI-powered learning platform that helps students write, think, and engage more deeply by transforming every assignment into an active, curiosity-driven learning experience. We are looking for an Analytics Engineer to support our mission to awaken and fuel the lifelong curiosity in every student. In this role, you'll partner closely with Engineering, Product, Research, and Business teams to transform complex data into trusted, self-service analytics. You'll build reliable pipelines, create intuitive dashboards, and use statistical analysis to answer important business questions. You'll also contribute to research that helps demonstrate how Packback's AI-powered platform improves student learning outcomes.

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

Responsibilities

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