We're looking for a highly skilled Data Analyst to join our team. The ideal candidate will have a solid understanding of data architectures and pipelines, as well as experience working with databases and visualization tools.
The Data Analyst will be responsible for building and maintaining our data warehouse, ensuring that our data sources are reliable, consistent, and clean. This will involve using tools like Y42, BigQuery, and Looker Studio to create efficient and scalable data solutions.
The successful candidate will also analyze complex data sets, translating them into clear and actionable insights. They will support strategic and operational decision-making by creating visualizations and dashboards that make complex information easy to understand.
Additionally, the Data Analyst will develop automated solutions using no-code tools like Zapier or Make (bonus points for Python) to make recurring analysis tasks and workflows more efficient and scalable.
The ideal candidate will have 3-5 years of experience in an analytical role, preferably in Data Analytics, Business Intelligence, or a similar environment. They will also have strong SQL skills, hands-on experience with databases, and familiarity with key KPIs and e-commerce industry mechanics.
The Data Analyst will work closely with teams across Marketing, Sales, and Operations to develop and implement data-driven solutions that drive business forward.
Key Requirements
* Degree in STEM field or comparable analytical discipline
* 3-5 years of experience in analytical role
* Strong SQL skills and hands-on experience with databases
* Familiarity with key KPIs and e-commerce industry mechanics
Bonus Points
* Experience with APIs and data flows across different systems
* Knowledge of Python and Pandas
We value diversity and believe in the power of different perspectives. Our mission is clear: we want to grow and give more dogs a better life. To make that happen, we need people with diverse backgrounds, strengths, and talents.
Our Process
1. Application receipt and review
2. 45-minute team call for initial interview
3. Conceptual case interview with founder Annika
4. Technical case interview with CTO on demand
5. Job offer if successful