Analytics Engineer
2 weeks ago
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
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