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Posted 4 months ago
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Requirements and responsibilities
Things you'll do :Iteratively refine our data, build models and help spread data throughout the team to enable self-service analyticsOrganize our datasets and do complex transforms using SQL & Python.Dig into data, answer questionsTeach the others on your team to fishCollaborate day to day with business users, designers, product managers and engineersA bit of everything from data ingestion, modeling, analysis, science, and story telling.Things we're looking for :Strong data modeling or integration skillsExtremely 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 charts5+ years as an analytics engineer, data analyst, data scientist, data engineer or similar roleBS in CS/CE, Math, Economics or equivalent technical degree preferredExperience a plus: B2B SaaS, dbt, Postgres/Redshift, Fivetran, dlt, dimensional modeling, data engineering, data science (machine learning), LLM/AICandidates who operate in UTC-3 -- UTC-8Additional informationWe're a global team (50% outside the US), fully distributed (from Thailand to California), who get things done asynchronously, with plenty of uninterrupted time, supporting each other to do the best work of our careers. We offer flexibility (define your own schedule and work from wherever you want), autonomy, and an environment that fosters growth, learning, and development. We're relentlessly user-focused and believe in building long-term value, not short-term hacks. And we raised a $30M Series B to take our approach to the next level for years to come.For U.S. applicants: Metabase participates in the federal E-Verify program, which confirms employment authorization of newly hired U.S. based employees. E-Verify is not used as a tool to pre-screen candidates and is only initiated upon hire.E-Verify Participation Notice (English/Spanish)Right to Work Notice (English/Spanish)
Optionally, you can add more information later (benefits, pre-screening questions, etc.)