Grammarly

Analytics Engineer

Grammarly

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

Visit company website
✨ AI Apply
Manual Apply

Salary

💰 $165,000 - $215,000 per year

Job Level

Mid-LevelSenior

Tech Stack

Amazon RedshiftBigQueryCloudSQLTableau

About the role

  • Grammarly offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture.
  • Grammarly team members in this role must be based in San Francisco or New York City.
  • About Grammarly—Grammarly is the trusted AI assistant for communication and productivity, helping over 40 million people and 50,000 organizations do their best work.
  • The Opportunity—to enable Grammarly to make better, faster, data-driven business decisions. As part of our esteemed data team, this role is pivotal in allowing us to make quicker, more informed business decisions. The person in this role will have the opportunity to help build an exceptional Analytics stack, foster a data-driven culture throughout our organization, and empower decision-makers at all levels with a reliable source of truth.
  • The Analytics Engineer will collaborate with product, marketing, and business leaders, as well as other data experts, to develop exceptional and scalable analytical solutions for our company.
  • Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure.
  • You can hear more from our team on our technical blog.
  • As an Analytics Engineer, you will:—
  • Own the last-mile data delivery and source of truth tables 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 fact and 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 like 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

  • 5+ years of work experience as an Analytics Engineer, Data Engineer, Business Intelligence Engineer, Product Analyst, Data Scientist, or a similar role.
  • Excels at using SQL for data pipeline development in a modern data stack (Databricks, Snowflake, BigQuery, Redshift, dbt, etc.).
  • Hands-on experience building and delivering high-impact visualizations using industry-standard tools (Tableau, Looker, Mode, Power BI).
  • Strong analytical and critical thinking skills, high attention to detail, and a focus on delivering meaningful, actionable insights.
  • Has a passion for communicating insights through the language of data.
  • Familiarity with version control & CI/CD using code review workflows and tools (Git, GitHub, GitLab).
  • Demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments.
  • Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments.
  • Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
  • Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust.