Overview of role

Business Data Analytics is a critical function at eero, reporting to the Head of Business Operations . This technical role, which falls under the Business Intelligence Engineering job family, will be responsible for analyzing large sets of business data and building automated dashboards and reporting. They 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 Senior Business Intelligence Engineer, you will be responsible for architecting scalable, best-in-class business intelligence solutions and processes. This is a highly visible role in which you will have a high degree of autonomy, and outsized impact.

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
- Has extensive experience working directly with business teams, and most specifically, go-to-market (GTM) teams, such as Sales, Marketing and Partner Success

- Is highly analytical and process-driven, can assist with strategic planning, drive decisions forward, execute on high-impact projects, and lead through influence.

- 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 strategically and analytically about business, product, and operational challenges.

- Has experience managing stakeholders at all levels.

- 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 an uncanny ability to embrace ambiguity and see around the corners.

- Has impeccable attention to detail, follow-through, and resourcefulness.


Key job responsibilities
What you will do:
- 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

- Design, build, and maintain automated reporting, dashboards, and produce value-added data analyses to enable executive decision making or a change in the status quo: our business generates a lot of data and only so much can be analyzed effectively to drive decision making. As you get to know the business from multiple perspectives, you'll be responsible for proactively bringing together data insights and crafting data-informed stories.

- Build the Business Intelligence roadmap: you will spot the highest priority business intelligence initiatives and improvement areas, and plan to address those in the short, medium and long term

- Enable data access, literacy and self-sufficiency: As you work with various teams at eero, you will gather a sense of their business and data-related needs, and craft scalable solutions to address them. 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.

- Drive weekly, monthly, and quarterly business reporting to leadership across eero and Amazon: you will be the hub for business data and communication, and act as the primary point of contact for key business data for some of eero’s largest sales channels.
- Leverage Amazon systems and tools to effectively work with, process, and analyze large datasets
- Deliver comprehensive, written strategy documents considering different types of data and inputs across a broad range of stakeholders

- 5+ years of SQL experience
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with AWS technologies
- Knowledge of data warehousing and data modeling

- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.