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Analytics Engineer
hace 1 mes
**What we’re looking for**:
We're looking for individuals who **love** to create products and have ownership from inception to shipping.
We live in a moment where growing with data has never been more essential: your mission at Polar will be critical. We’re looking for people who love to grow and empower brands to grow with data.
Finally, we're looking for humble innovators, people who have crazy ideas and who value impact more than anything else.
**Why this role?**:
- Unlike other Analytics Engineering roles, you will work on the core product. You will help empower thousands of entrepreneurs to grow their brand, with a product they use daily
- Have an impact on the future of the modern data stack for eCommerce
- Have strong ownership as #1 Analytics Engineer on the team, and grow a product that is already used by 900+ brands
- Join us at one of the most exciting moments of our history: we are building the core features of the app with $9M raised and a growth rate of 30% month-over-month
**What’s the scope**:
- You will own data modelling at Polar:
- Create models from scratch that **will empower brands to answer new data questions**
- ** Write tests** to ensure that your models produce the right results and detect edge cases
- Maintain existing models and schema evolutions
- Create a **data catalog** as tables will be directly used by the end user
- You will own metrics & dimensions definitions on the app. We have created an eCommerce **metrics layer (the synthesizer)**, which is a centralised, single source API that can compose metrics and dimensions flexibly
- Create new metrics & dimensions
- Document new and existing metrics & dimensions
- Optimise end queries to ensure **great performance**
- You will help design **data modelling & warehouse architecture** alongside data engineers to scale our data modelling
- Automate and setup best practices in the analytics workflow (tests, dbt, github)
- Write macros to deal with incrementally and multi-tenancy
- You will work closely with Product to gather and translate requirements into technical solutions to achieve the maximum impact
**The job is made for you if...**:
- You love building data models from scratch and reasoning about data architecture
- You are passionate about data products: you want to have an impact on the future of the modern data stack
- You have already worked in a production environment with multiple users
- You have spent a meaningful time (5+ years) as a hands-on data analyst / analytics engineer
- You are fluent with SQL and have good knowledge of Python
- You are curious, with an active technological watch
- You have a sense of ownership and responsibility
**Company Perks & Benefits**:
- Remote-first organisation with a culture built around impact rather than hours
- 5 weeks of vacation
- Competitive salary & equity (90th percentile of the market worldwide)
- Latest MacBook Pro or equivalent
- Complimentary private health insurance (we use Alan)
- Every quarter we organize a company-wide offsite to discuss where we're going and strengthen the social bonds
