
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.
🕒 April 21
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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.
• Talk directly to customers to understand how they use the product and where it falls short • Build a deep understanding of user workflows, especially in data-heavy environments • Identify and clearly define the most important problems to solve • Turn those insights into clear proposals for product direction • Move across engineering teams, focusing on where context is most useful • Work closely with engineers and design to shape solutions and tradeoffs • Bring clarity to ambiguous problems so teams can move quickly and make good decisions
• Strong technical foundation (e.g., engineering or similarly technical experience) • Hands-on experience working with data tools (e.g., querying, modeling, or building with data) • Ability to understand user needs and translate them into clear problem definitions • Strong product judgment - what’s worth solving, what isn’t, and why • Comfortable working closely with engineers on feasibility and tradeoffs • Able to operate with high judgment in ambiguous environments • Clear thinker and communicator, especially when simplifying complex ideas
• flexibility (define your own schedule and work from wherever you want) • autonomy • environment that fosters growth, learning, and development • participation in the federal E-Verify program for U.S. applicants
Apply Now🕒 April 21
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