Lead Analytics Engineer

🔥 16 minutes ago

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Newsela

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2013

📚 Education

🛍️ eCommerce

👥 B2C

💰 $100M Series D on 2021-02

Education • eCommerce • B2C

Newsela is a fast-growing education technology startup with a single ambitious goal: Meaningful classroom learning for every student. We provide engaging, relevant instructional content for teachers that both educates and inspires. With nearly two million teachers signed up, Newsela is helping kids improve their reading skills in all 50 states and more than 150 countries. We seek passionate, creative employees with quick minds and warm hearts. If you believe that all students deserve a more rigorous, more personalized learning experience, please apply to join our team.

📋 Description

• Build new analyses and support existing ones using SQL and Python. • Apply software engineering principles like version control and continuous integration to the analytics codebase. • Expand our data warehouse with clean data ready for analysis. • Apply advanced data testing strategies to ensure resulting datastores are aligned with expected business logic. • Implement validation checks and automated testing procedures to manage data quality in your ETL/ELT pipelines. • Work with stakeholders to define business logic and data expectations. • Help drive a change in the usage of data by actively surfacing insights to stakeholders. • Lead initiatives and problem definition, scoping, design, and planning. • Build tools and automation to run data infrastructure. • Manage large-scale data migrations in relational datastores.

🎯 Requirements

• 8+ Years experience working with data in a software environment. • Required Skills: Mastered proficiency in SQL and Python; advanced experience managing business semantic layer tooling, data catalog tooling and data integrity testing frameworks. Experience with dbt orchestration and best practices. • You have a track record of working autonomously and proactively, with deep domain knowledge of data systems. • Required Tech Stack: SQL, Python, relational datastores, DAG tooling (like Dagster or Airflow), dbt and Tableau. • Experience with cloud-based infrastructure (AWS, GCP, Terraform) and document, graph, or schema-less datastores.