eero, an Amazon Company, was founded with the mission of making wifi the way it should be—fast, reliable, and simple to use. Ten years and millions of eeros later, that same core mission continues to drive innovations in our hardware, software, and with our partners around the world. It’s been an incredible journey, and the best is yet to come.
Business Data Analytics is a critical function at eero. You will be responsible for analyzing large sets of business data and building automated dashboards and reporting. You will work closely with the Sales, Marketing, Finance, BI, Manufacturing, and several other Operations teams to develop robust end-to-end analytical workflows and data-informed analyses, ultimately supporting successful business growth, operational efficiency, and sales acceleration. As a Business Intelligence Engineer, you will be responsible for architecting scalable, best-in-class business intelligence solutions and processes in collaboration with our existing technical team members.
We’re looking for someone who:
- Is both technically excellent in SQL, as well as strategically sound so they an partner the business teams well
- Is highly analytical and process-driven, can assist with strategic planning and help execute on high-impact projects.
- Understands numbers intuitively: if the numbers don’t add up, you spot it first. If you find yourself or others repeating work, you automate it.
- Demonstrates ability to think analytically about business, product, and operational challenges.
- Enjoys rolling up their sleeves in a fast paced startup environment and getting things done.
- Is able to work cross-functionally with many teams and multi-tasks with a sense of urgency.
- Has impeccable attention to detail, follow-through, and resourcefulness.
Key job responsibilities
- Analyze large business and sales data sets to identify patterns, understand drivers, and generate insights to accelerate sales and drive operational efficiencies
- Write queries to extract data and insights combining datasets within eero with Amazon datasets and or/publicly available datasets
- Build and maintain automated reporting, dashboards, and produce value-added data analyses to enable executive decision making or a change in the status quo
- Enable data access, literacy and self-sufficiency: You will automate manual data collection and manipulation traditionally done in Excel, and create robust data marts where stakeholders can easily generate business insights.
- Work closely with our Finance and BI teams on consolidating key data sources in one place, building the foundation to enable efficient data analysis across several business teams.
- Leverage Amazon systems and tools to effectively work with, process, and analyze large datasets
