Own the last mile data delivery for product and business stakeholders.
Form a deep understanding of the business, your partners’ opportunities and problems, and how data can solve them.
Work closely with data scientists to define and operationalize critical business metrics.
Team with data engineers to design dimensional tables to be used by power users and other developers.
Write complex, production-grade SQL pipelines using engineering best practices for testing, version control, and documentation.
Create scalable analytical solutions, such as dashboards, alerts, and tools, to enable your users’ self-serve reporting and analysis capabilities.
Continuously re-evaluate our data ecosystem against industry best practices and new third party technologies to ensure Grammarly’s analytics stack remains best-in-class.
Requirements & Skills:
Is excellent at using SQL for data pipeline development in a modern data stack (Databricks, Snowflake, BigQuery, Redshift, dbt, etc.)
Has 8+ years of work experience as an Analytics Engineer, Data Engineer, Business Intelligence Engineer, Product Analyst, or a similar role.
Is familiar with data modeling principles and best practices.
Has strong analytical and critical thinking skills, high attention to detail, and a strong bias toward impact and actionable insights.
Has a passion for communicating insights through the language of data.
Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
Is inspired by our MOVE principles, which are the blueprint for how things get done at Grammarly: move fast and learn faster, obsess about creating customer value, value impact over activity, and embrace healthy disagreement rooted in trust.
Is able to meet in person for their team’s scheduled collaboration weeks, traveling if necessary to the hub where their team is based.
