Analytics Engineer

Job not on LinkedIn

🕒 March 31

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

🦅 H1B Visa Sponsor

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Logo of Metabase

Metabase

51 - 200 employees

Founded 2012

☁️ SaaS

🤝 B2B

🏢 Enterprise

💰 $30M Series B on 2021-05

SaaS • B2B • Enterprise

Metabase is a self-service business intelligence and analytics platform designed to make data exploration and dashboard creation accessible to everyone. It offers a variety of features including a visual query builder, SQL editor, and analytics dashboards that enable non-technical users to build their own dashboards and analyze data. Metabase supports embedded analytics and integrates with numerous data sources, providing fast, flexible customer-facing analytics. It is available in both open-source and paid enterprise versions. The platform emphasizes usability with a friendly UX, empowering organizations to democratize access to data and insights.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• flexibility (define your own schedule and work from wherever you want) • autonomy • an environment that fosters growth, learning, and development • participation in the federal E-Verify program

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