Analytics Engineer

The role

This person will refine data, build models and spread data across the team so others can do self-service analytics. They will use the company's customer onboarding, community and user data to understand users and how to help customers.

What you will do

• Iteratively refine data, build models and help spread data across the team for self-service analytics
• Organize datasets and do complex transforms using SQL and Python
• Dig into data and answer questions
• Teach others on your team to fish
• Collaborate day to day with business users, designers, product managers and engineers
• Work across data ingestion, modeling, analysis, science and storytelling

Required qualifications

• Strong data modeling or integration skills
• Extremely strong coding skills using SQL (100+ lines of complex SQL queries/models) or Python (1k+ lines of OOP scripts)
• Fluency in expressing business processes using models and charts
• 5+ years as an analytics engineer, data analyst, data scientist, data engineer or similar role

Nice to have

• BS in CS/CE, Math, Economics or equivalent technical degree
• Experience with B2B SaaS, dbt, Postgres/Redshift, Fivetran, dlt, dimensional modeling, data engineering, data science (machine learning), LLM/AI

Benefits

• Meaningful equity
• Fully employer-covered medical, dental and vision insurance
• 75% coverage for dependents
• 401(k) with employer match, available to enroll after the first 30 days
• Flexible and unlimited paid time off, including sick time
• Asynchronous, remote-first environment
• Flexibility to define your own schedule and work from wherever you want
• Autonomy and an environment that fosters growth, learning and development

Before you apply

• US applicants: the employer participates in the federal E-Verify program, which is initiated only upon hire and not used to pre-screen candidates

About the company

Metabase is a data tool company whose open source platform is used by tens of thousands of companies to measure, analyze and share their data. The company is a global, fully distributed team, about 50% outside the US, and raised a $30M Series B.