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Analytics Engineer

About us

Stonly is an innovative SaaS platform that solves the universal need for businesses to guide customers, users, and employees more effectively.

Our modern solution enables support, product, and other teams to create interactive, step-by-step guides and deploy them everywhere they’re needed, with no code.

Founded by experienced entrepreneurs and leaders and backed by Accel, our team is driving explosive growth; with hundreds of customers in a wide variety of industries - SaaS, fintech, telecom, finance, and more.

We’re looking for exceptional people to join our team and contribute to our culture, embody and add to our core values, and help us grow into a category-defining product and brand.

The position

The Stonly data team helps all areas of the company (product, marketing, sales, operations) take better decisions and grow the business, by providing reporting, analyses and strategic recommandations.

Join the team as an analytics engineer and contribute to the collection, transformation and visualisation of all the data that our stakeholders use every day.

Our data stack: Fivetran, DBT, Redshift, Hightouch, Tableau, Posthog (and, let’s face it, Google Sheets)

The position is based in Paris, but we work mostly remotely so living in Paris is not a requirement.

Responsibilities

As an analytics engineer, you will:

  • Make our data available: you’ll work to connect data sources, design database models, and build ETL pipelines

  • Make our data actionable: you’ll design and implement powerful Tableau and Posthog Dashboards that help our product and business teams succeed.

  • Make our pipelines faster: you'll identify the underperforming parts of our data pipeline and work improve their speed and reliability

  • Always be raising data quality. That includes auditing sources, documenting issues, driving resolutions together with other teams, and implementing well-documented, performant, and tested transformations.

Skills and Experience

  • You have a master degree in engineering or business

  • SQL is your native language, and optimizing query performance your secret hobby

  • You have some experience with traditional development languages (javascript or python are a plus)

  • You are able to take a business, non technical need as an input, and turn it into ETL requirements

  • You like a challenge and are not afraid to fall down the stack-overflow rabbit hole if a problem is resisting you

  • You speak English fluently and you have excellent written and verbal communication skills

  • You are autonomous, well organised and rigorous