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Description

This an exciting opening to join the Stores Tech Finance (STF) Team to support Amazon's Shopping Finance organization. We are looking for a Business Intelligence Engineer to lead data analytics and drive critical product decisions for Shopping organization. You will perform multiple large, complex, and business critical analyses that will inform Shopping product design and business priorities. You will design and build business intelligence to allow routine inspection and deep business understanding as Shopping expands to more use cases and surface areas. Keeping a department-wide view, you will focus on the highest priorities and constantly look for scale and automation, while making technical trade-offs between short term and long term needs. In this role, you will partner with data engineers, product managers, software engineers, economists, and applied scientists, while being a key member of Shopping leadership team.

We’re looking for a driven individual who loves working with BI tools, is comfortable accessing and working with data from multiple sources, can automate business critical reports and can partner with internal stakeholders to solve complex and broad business problems with analytically derived solutions. The successful candidate has a strong passion for data and analytics, is a self-starter, comfortable with ambiguity, and has ability to work in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail.

Key job responsibilities

1. Interface/interact with business & finance customers, gathering requirements and delivering complete BI solutions. Helps define the team's BI strategy.

2. Own the design, development, and maintenance of metrics, reports, dashboards, etc. to drive key business decisions across multiple teams.

3. Continually improve ongoing reporting and processes, automating, scaling or simplifying self-service support for customers.

4. Write high quality code to retrieve and analyze our large and complex data sets.

5. Identify patterns in our data and use these insights to make data-driven recommendations to drive topline growth and to improve profitability.

6. Develop an understanding of key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our business.

Basic Qualifications

- 5+ years of professional or military experience

- 5+ years of SQL experience

- Experience programming to extract, transform and clean large (multi-TB) data sets

- Experience with AWS technologies

- Experience in scripting for automation (e.g. Python) and advanced SQL skills.

- Experience with theory and practice of information retrieval, data science, machine learning and data mining

Preferred Qualifications

- Experience working directly with business stakeholders to translate between data and business needs

- Experience managing, analyzing and communicating results to senior leadership

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.