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 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.

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.

Support for you, professionally and personally

Professional growth: We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We also support professional development and advancement with training, coaching, and regular feedback.

A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture supported by our EAGER (ethical, adaptable, gritty, empathetic, and remarkable) values. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Grammarly Circles, which promote connection among those with shared identities including BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs.

Comprehensive benefits for candidates based in Germany: Grammarly offers all team members competitive pay along with a benefits package encompassing life care (including mental health care and risk benefits) and ample and defined time off. We also offer support to set up a home office, wellness and pet care stipends, learning and development opportunities, and more.