We are seeking a talented and experienced Analytics Engineer to join our growing team. The salary for this position is €65,000 annually.
You can work from anywhere in the world as long as your main location is between UTC-4 and UTC+8.
About the Team
We are a global team of 100+ awesome people working from over 40 countries around the globe. We hire globally, you work locally—in the heart of London, a beach outside of São Paulo, or a quiet village near Florence, the choice is yours. Every few months we travel to meet up somewhere in the world and spend some quality time together. We place a huge amount of trust in our people, and we measure the outcomes rather than the work itself.
Our values fuel our results.
The Role
As an Analytics Engineer, you will be responsible for creating well-tested and documented end-to-end data solutions and ensuring they empower team members to make better decisions. You will work closely with the analytics team and our business stakeholders to design and develop those solutions while balancing business requirements, cost, security, and performance.
Your main responsibilities will be to:
- Design, develop, maintain, and troubleshoot complex SQL data models in dbt.
- Collaborate with business stakeholders and the BI team to design and develop end-to-end solutions — while balancing business requirements, cost, security, and performance.
- Create and maintain visualizations to communicate insights effectively.
- Set up tracking for PLG metrics such as activation, engagement, and retention.
- Help create and run pricing experiments.
- Ensure the quality of our data by writing tests, and debugging inaccuracies and inconsistencies.
- Participate in code reviews to promote a high standard of work across the team.
About You
- You have 2+ years of experience in analytics or a similar role that involves generating insights for business stakeholders, exploring data, SQL data modeling, and statistical analysis.
- You have 2+ years of hands-on experience with dbt and a Data Warehouse such as BigQuery or Snowflake.
- You can extract requirements from complex business questions. You know how important iterating on analyses is, to stay close to business needs.
- You have strong instincts and judgment about the business implications of data analysis, as you collaborate with business stakeholders at all levels of seniority to understand their data needs.
- You are comfortable working with git, SQL, Python, and dev environments. You pride yourself on writing performant, easy-to-read SQL.
- You know how important QA and building trust in data is.
- You care about details and have a mature attitude to documentation, security, and process — all of which are important and inform everything we do.
- You have worked in a SaaS company before.
- You write and speak English well. You prefer to over- vs under-communicate. You like transparency, openness, and asking questions.
Bonus points for:
- Experience in driving Product-Led Growth for SaaS companies through data-driven decisions.
- Experience with our analytics stack (Prefect, Airbyte, dbt, BigQuery, Looker, Heap, Hex) is ideal. We’re open to considering candidates that have experience in other cloud warehouse-focused analytics tools.
Benefits
- Freedom to choose when and how much you work - we only measure results
- 24 days of paid time off a year, plus your local holidays
- In-person meetups for team-building (expenses covered)
- 4-6 weeks paid sabbatical (depending on the tenure)
- Laptop budget up to €2,500 and it renews every 3 years
- €2,000 budget to set up your home office, and additional €300 every year after 3 years of tenure
- €3000 per year for co-working space membership and/or internet service at home
- €4,000 per year contribution to use for training, workshops, and conferences
- €2,000 per year contribution for any equipment or services to improve and/or maintain your physical and mental health
- Support for buying tools you need for doing your best work (even eyeglasses if you need a new pair)
