Senior Analytics Engineer

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. Your impact 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 they can be solved using data. 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 self-serve reporting and analysis capabilities of your users. Continuously re-evaluate our data ecosystem against industry best practices and new 3rd party technologies to ensure Grammarly’s analytics stack remains best-in-class. We’re looking for someone who 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 collaborate in person 3 weeks per quarter, traveling if necessary to the hub where the team is based. 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. 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. We encourage you to apply At Grammarly, we value our differences, and we encourage all to apply. Grammarly is an equal opportunity company. We do not discriminate on the basis of race or ethnic origin, religion or belief, gender, disability, sexual identity, or age. For more details about the personal data Grammarly collects during the recruitment process, for what purposes, and how you can address your rights, please see the Grammarly Data Privacy Notice for Candidates here. #J-18808-Ljbffr Grammarly