Data Analytics Engineer
dv01Salary not specified
Full Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, AIIndustries
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
- Must be based in San Francisco or New York City
Responsibilities
- 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
Skills
SQL
Python
ETL
Data Modeling
Business Intelligence
Data Warehousing
Analytics Engineering
Scalable Analytics
Grammarly
AI writing assistance platform for users
About Grammarly
Grammarly provides AI-driven writing assistance to help users improve their writing skills. Its main products include Grammarly Business, Grammarly Premium, Grammarly Free, and Grammarly for Education, which offer tailored writing support across a wide range of applications and websites. The platform analyzes text in real-time, providing suggestions for grammar, punctuation, style, and clarity, making it easier for users to communicate effectively. Unlike many competitors, Grammarly is trusted by a significant number of Fortune 500 companies, highlighting its focus on security and privacy. The company's goal is to enhance communication for individuals and teams, making writing clearer and more effective.
San Francisco, CaliforniaHeadquarters
2009Year Founded
$389.1MTotal Funding
LATE_VCCompany Stage
Consumer Software, AI & Machine Learning, EducationIndustries
1,001-5,000Employees
Benefits
Free food
Company Social Outings
Work From Home Policy
Unique Office Space
Health & Wellness Package
Paid Time Off
401K / Retirement Plan
Risks
New CEO from Coda may disrupt Grammarly's existing business model and operations.
Authorship tool could face backlash over privacy and AI detection accuracy concerns.
Tech layoffs in 2024 may lead to talent acquisition challenges for Grammarly.
Differentiation
Grammarly integrates with over 500,000 applications, enhancing user accessibility and convenience.
Trusted by 96% of Fortune 500 companies, Grammarly emphasizes security and privacy.
Grammarly's diverse product suite caters to individuals, businesses, and educational institutions.
Upsides
Acquisition of Coda expands Grammarly's capabilities in AI and productivity tools.
Growing demand for AI-driven writing tools in education boosts Grammarly's market potential.
Partnerships in generative AI position Grammarly as a leader in responsible AI innovation.
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