Analytics Engineer

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 is the trusted AI assistant for communication and productivity, helping over 40 million people and 50,000 organizations do their best work. Companies like Atlassian, Databricks, and Zoom rely on Grammarly to brainstorm, compose, and enhance communication that moves work forward. Grammarly works where you work, integrating seamlessly with over 500,000 applications and websites. Founded in 2009, Grammarly is No. 7 on the Forbes Cloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces.

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.

To achieve our ambitious goals, we’re looking for an Analytics Engineer to enable Grammarly to make better, faster, data-driven business decision-making. 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 team up with product, marketing, and business leaders, alongside other data experts, to create 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 dimensional and SCD 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.

• Is excellent at using SQL for data pipeline development in a modern data stack (Databricks, Snowflake, BigQuery, Redshift, dbt, etc.).
• Has hands-on experience building and delivering high-impact visualizations using industry-standard tools (Tableau, Looker, Mode, Power BI).
• Has 2+ years of work experience as an Analytics Engineer, Data Engineer, Business Intelligence Engineer, Product Analyst, or a similar role.
• Has 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.
• Has familiarity with version control & CI/CD using code review workflows and tools like Git, GitHub, or GitLab.
• 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.

Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more: 

• Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
• Disability and life insurance options
• 401(k) and RRSP matching 
• Paid parental leave
• 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time
• Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
• Annual professional development budget and opportunities

Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations.

Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future.