About the role
Analytics Engineer Metabase is the easiest way for people to get insights from their data, from tiny startups who get up and running quickly to major corporations with tens of thousands of users. That's why people love us. We bring data tools with the elegance and simplicity of consumer products to the crufty world of enterprise business intelligence. We provide an opinionated open source starting point for how companies should measure, analyze and share their data, which is used by tens of thousands of companies. Metabase is looking for an Analytics Engineer to support our team. This role will be a key part of the operations team, using the disparate data sources we have on our customer base, customer onboarding, and community intelligence to better understand our users, their needs and what we should do to better help our customers. Things you'll do : - Iteratively refine our data, build models and help spread data throughout the team to enable self-service analytics - Organize our datasets and do complex transforms using SQL & Python. - Dig into data, answer questions - Teach the others on your team to fish - Collaborate day to day with business users, designers, product managers and engineers - A bit of everything from data ingestion, modeling, analysis, science, and story telling. Things we're looking for : - 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 - BS in CS/CE, Math, Economics or equivalent technical degree preferred - Experience a plus: B2B SaaS, dbt, Postgres/Redshift, Fivetran, dlt, dimensional modeling, data engineering, data science (machine learning), LLM/AI - Candidates who operate in UTC-3 -- UTC-8 Remote-North & South America
Key responsibilities
- check_circleCollaborate with the team on day-to-day project tasks
- check_circleLearn tools and processes used by the organization
- check_circleDocument work and participate in team meetings
- check_circleSupport quality checks and continuous improvement
Requirements
- check_circleIteratively refine our data, build models and help spread data throughout the team to enable self-service analytics
- check_circleOrganize our datasets and do complex transforms using SQL & Python.
- check_circleDig into data, answer questions
- check_circleTeach the others on your team to fish
- check_circleCollaborate day to day with business users, designers, product managers and engineers
- check_circleA bit of everything from data ingestion, modeling, analysis, science, and story telling.
- check_circleStrong data modeling or integration skills
- check_circleExtremely strong coding skills using SQL (100+ lines of complex SQL queries/models) or Python (1k+ lines of OOP scripts)
- check_circleFluency in expressing business processes using models and charts
- check_circle5+ years as an analytics engineer, data analyst, data scientist, data engineer or similar role
- check_circleBS in CS/CE, Math, Economics or equivalent technical degree preferred
- check_circleExperience a plus: B2B SaaS, dbt, Postgres/Redshift, Fivetran, dlt, dimensional modeling, data engineering, data science (machine learning), LLM/AI
Skills & keywords
Benefits & perks
- check_circleMentorship
- check_circleCertificate of completion
- check_circleFlexible work arrangement where applicable