Analytics Engineer, Grammarly
More information about location
AI-powered writing assistant
Open for applications
AI-powered writing assistant
1001+ employees
Open for applications
More information about location
1001+ employees
Company mission
Grammarly's mission is to improve lives by improving communication.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
From professional writing to everyday correspondence, effective communication is critical. Grammarly is an AI-powered writing assistant that helps people write clearly and without mistakes, checking spelling, grammar, and other potential pitfalls.
Grammarly was originally launched as a subscription service for students, although the platform has moved into the mainstream in the last decade. It went freemium in 2015 and now works across more than 500,000 applications and websites including email clients, enterprise software, and word processors. Paid tiers give users more tools beyond grammar and spelling checks to include things like word choice, sentence rewrites, tone adjustments, fluency, and formality level.
The company has been profitable since the beginning and now has a valuation of more than $13 billion, placing it among the 10 most valuable startups in the US. The AI writing assistant space is heating up, and Grammarly is hoping to defend its positions against offerings including Scalenut, Ginger and Microsoft's Editor by the release of its SDK, making it far easier to integrate Grammarly into other applications. So far this has been used in over 4,000 products and earned excellent ratings and increased user numbers of Grammarly's service.
Steph
Company Specialist
Insights
Some candidates hear
back within 2 weeks
44% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Nov 2021
$200m
LATE VC
Oct 2019
$90m
LATE VC
Total funding: $400m
Company benefits
- Support for professional development with training, coaching, and regular feedback
- Global, local, and team-specific events and programs
- Catered lunches
- Gym and recreation stipends
- Admission discounts
- Work from home opportunities
- Medical, dental, vision, financial, and other benefits, as well as equity
- Support to set up a home office
- Ample and defined time off
- 401(k) matching
Company values
- Ethical - Be honorable and earn trust by doing the right thing even when no one is watching, every time.
- Adaptable - Embrace change to evolve and succeed, with a positive, problem-solving attitude.
- Gritty - Achieve with passion and perseverance for goals, by doing whatever it takes to get the job done, whenever it’s necessary.
- Empathetic - Treat others as they want to be treated to work well together, by actively listening to put yourself in their shoes and then responding accordingly.
- Remarkable - Always be learning to develop quickly and be exceptional yet humble, by continually seeking out mentors and learning opportunities.
Company HQ
Financial District, San Francisco, CA
Articles
Leadership
Alex Shevchenko
(Board Member)Studied at Vienna's International University before receiving an MBA from the University of Toronto. Co-founded MyDropBox.com in 2006. The company was bought by Blackboard Inc. three years later. Co-founded Grammarly in 2009.
Max Lytvyn
(Head of Revenue & Board Member)Studied for an MBA at Vanderbilt University before joining Blacboard Inc. as Director of Product Strategy in 2007. Was General Manager and then Partner at Sciworth Labs from 2004 to 2013. Was a Board Member at Uniweb and invested in farmland investment platform FarmTogether.
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