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Job Description
About Metabase
Metabase is the easiest way for people to get insights from their data. From tiny startups getting up and running quickly to major corporations with tens of thousands of users, Metabase brings data tools with the elegance and simplicity of consumer products to the enterprise business intelligence space. We provide an opinionated open source starting point for how companies should measure, analyze and share their data, used by tens of thousands of companies worldwide.
The Role
We're seeking an Analytics Engineer to join our operations team as a key contributor. You'll work with disparate data sources covering our customer base, customer onboarding, and community intelligence to deeply understand our users, their needs, and how we can better support them. This is a collaborative role that bridges data engineering, analytics, and business intelligence.
What You'll Do
- Iteratively refine our data, build robust models, and enable self-service analytics across the team
- Organize datasets and perform complex data transforms using SQL and Python
- Investigate data to answer critical business questions and uncover insights
- Mentor team members on analytics best practices and data literacy
- Collaborate daily with business users, designers, product managers, and engineers
- Own the full spectrum of work from data ingestion and modeling to analysis, data science, and storytelling
What We're Looking For
- Strong data modeling or integration expertise
- Extremely strong coding skills: SQL (100+ lines of complex queries/models) or Python (1k+ lines of OOP scripts)
- Fluency in expressing business processes through data models and visualizations
- 5+ years experience as an analytics engineer, data analyst, data scientist, data engineer, or similar role
- BS in Computer Science, Computer Engineering, Mathematics, Economics, or equivalent technical degree (preferred)
- Experience with B2B SaaS, dbt, Postgres/Redshift, Fivetran, dlt, dimensional modeling, data engineering, machine learning, or LLM/AI is a plus
- Preference for candidates operating in UTC-3 to UTC-8 time zones
This remote position offers the opportunity to make a direct impact on how a leading data analytics platform operates and evolves.