Analytics Engineer

Quit Genius is the #1 digital clinic for substance addictions. We are on a mission to help 100 million people overcome tobacco, alcohol and opioid addictions by combining technology, healthcare and design. It’s an ambitious mission, but one we fully believe in and we hire people who share our aspirations and core values.

We are a global team of doctors, designers, engineers and researchers who are aligned by one common goal. Authenticity, creativity, purpose and thoughtfulness are at the heart of everything we do to deliver that goal, so finding exceptional people to come on the journey is everything to us. Quit Genius has scaled to dozens of health plans and employers, covering over 2 million lives and has already helped more than 750,000 members conquer their addictions. As of 2021, we have raised $78M from leading global investors and now work with 100+ world-class team members across our New York, London, and remote offices.

If you are passionate about making an impact on the health of others, join us and make it happen!

Quit Genius is a small company with an ambitious goal. We offer world-class digital addiction solutions and are the vendor of choice for large enterprise clients across the US. Addiction is an unsolved problem, and only 10%% of people who struggle with addiction have access to support. With deep insights into our program performance, we see data as the strategic key to unlock our next wave of growth and innovation, and help millions of people manage addiction.

The Quit Genius Data team is still at Day 1 - we have spent 2022 building out our core data infrastructure but we have a long way to go. Our vision is to build a data warehouse that is the single source of truth for organisational data, used to power BI, reporting, billing and many other use cases.

At the core of our data stack is our semantic layer built using dbt. We are looking for an Analytics Engineer to join the team and build upon our data models. We are an agile team using technologies such as Redshift, Looker, Airflow and dbt.

We are one the way towards our goal of providing self-service access to data, and would love to hear from anyone who is passionate about our mission and has extensive experience with SQL, data analysis and visualisation.

Responsibilities

Build data models using dbt to empower teams across Quit Genius
Adopt an agile approach to building, testing and deploying data models
Educate employees and evangelise a data-driven culture across the organisation

The background we are looking for

You have been working for 2+ years in a data function
You have extensive experience building data models using SQL
You have experience building dashboards using BI platforms such as Tableau, PowerBI, Qlikview or Looker
You have ideally worked with dbt and are familiar with Analytics Engineering best practices
You have worked in a fast-paced agile environment

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