About Tint
Tint is Stripe for Insurance. We make it easy for tech platforms to embed insurance into their products. We help companies such as Deel, Guesty, Outdoorsy, Boatsetter, Riders Share, Neighbor, amongst others, unlock the growth of their core business and improve profitability with insurance.
Our product encompasses everything needed to run an insurance program, from setting underwriting rules to managing customers policies to managing claims. All available through a simple API and a no-code app.
We're backed by world-class investors such as Y Combinator, Deciens, Nyca, Plug and Play, WIN, Soma Capital, Pioneer Fund, and angels such as Vikram Pandit (former CEO Citigroup) and founders/CEOs of Oscar Health, Sun Microsystems, Zuora, Gusto, Kin, Turo, Mercury, Wepay, Ramp, amongst others.
With Tint, our client companies provide protection for their customers when something unexpected happens. They can include this coverage for free or provide it as an add on. To date, we’ve helped millions of users get peace of mind.
About the Role
We’re looking for an entrepreneurial data professional to help us structure data & analytics. As a true pioneer and the first person on the Data team, you will be at the core of our company. You will be responsible for trailblazing the data infrastructure and identify the hiring needs that will enable the company to scale fast.
The ideal candidate is an all-around athlete, with strong skills from data engineering to data analytics, has deep knowledge about modern data stack in a fast-growth startup. You will be working directly with the CTO and the founding team and will be involved in the early stages of the startup development.
Responsibilities
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Setup analytics and reporting tools for the entire company (eg. Looker, Tableau, Superset, Metabase...)
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Build and maintain data pipelines to support continuous access to metrics
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Evangelize data-driven decision making across the company
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Identify hiring needs for the data team
Requirements
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3-5 years of experience in data
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Demonstrated success with leading or being an early member of a data team in a startup environment
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Fluency in SQL and Python
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Deep knowledge and understanding of modern data stack (Airbytes, Big Query / Snowflake, dbt, Metabase, Looker ...)
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Outstanding communication skills in English
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Fast learner with a go-getter mentality
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Good fit for remote working
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Willingness to roll up your sleeves in a fast-paced startup environment
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Fintech/insurtech and/or B2B SaaS experience is a plus
Benefits
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100% Remote team: work from anywhere (EU and US Time zones)
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Competitive salary
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Generous equity grant
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Coworking stipend
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Apple equipment
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Company-sponsored team retreats in exotic destinations
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Health Benefits (US only)
Please include these in your application:
Tint
