Wifi is the foundation of the modern home. Without it, nothing works. eero, an Amazon company, is the first company to deliver a whole home WiFi experience using mesh technology, ensuring there isn’t a home layout or connected device we can’t handle. Fixing connectivity is, however, just the start. We’re working on the building blocks of the smart home by designing our own hardware, enabling it with software, and tying it all together to the cloud. A home that anticipates our needs, takes care of us and our families, keeps us safe and healthy, and saves money and energy.

We are looking for a Business Intelligence Engineer to join the eero Finance team to help us extract meaning from large volumes of data to help us make the right business decisions. The successful candidate will be an expert with SQL, ETL, and Tableau and have exemplary communication skills. The candidate will need to be a self-starter, comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail. The candidate knows and loves working with business intelligence tools, can model multidimensional datasets, and can partner effectively with business partners to answer key business questions.

As a BIE at eero, you will:
- Engage with the business and diversified customer groups to understand the needs and recommend business intelligence solutions.

- Partner with the Data engineering team to define the data elements and data structure that the team should leverage to enable analytical capabilities.

- Interface with business and finance customers, gathering requirements and delivering complete forecasting and reporting solutions.

- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards and models to drive key business decisions

- Be connected and influential within the Amazon analyst community. Work with Data engineering, Software development teams to enable the appropriate capture and storage of key data points.

- Understand and communicate machine learning and other statistical techniques used to forecast key business drivers, and analyze and report model results and metadata.