BIE III, EARS (Engineering, Analytics, Research, Science)

Job ID: 2916843 | Amazon.com Services LLC

Amazon Fashion drives multiple core and advance science initiatives. The approach and technology are nothing short of disruptive and promise to challenge traditional approaches and change the way the industry operates.

We are hiring a Senior Business Intelligence Engineer (BIE) to help us accelerate our efforts in improving Amazon Fashion. This person will build new business intelligence solutions end-to-end in partnership with our F2 Finance partners. The ideal candidate will be passionate about working with big data sets and have the expertise to utilize these data sets to derive insights, answer business questions, and drive growth.

In addition to leading the design, development, and management of our analytical tools and reporting, we will also look to this person to provide thought leadership and business analysis support as needed. This particular role will partner closely with our F2 Finance team to build a ‘one-stop shop’ dashboard to provide leadership with increased visibility into their input and output metrics as well as support other reporting requirements through the F2 organization. The successful candidate will demonstrate strong business acumen, experience in developing reporting and analytical infrastructures, strong communication skills, an ability to work effectively with cross-functional teams, and an ability to work in a fast-paced and ever-changing environment.

Key job responsibilities

1. Own, design, develop, document, and manage scalable solutions for new and ongoing metrics, reports, analyses, visualizations, and dashboards to support business needs.
2. Use analytical and statistical rigor to solve complex problems and drive business decisions that will help us achieve our strategic goals.
3. Dive deep to understand frameworks utilized for storing data and different tools and solutions used to gain access to it.
4. Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
5. Design and drive experiments to form actionable recommendations. Present to business leaders in both ad-hoc forums and routine business reviews (MBR/QBR) to drive decisions.
6. Be able to swiftly prioritize and multi-task based on severity level and strong business judgment.

BASIC QUALIFICATIONS

• 10+ 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 theory and practice of design of experiments and statistical analysis of results.
• 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 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.

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 this link 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 link. This position will remain posted until filled. Applicants should apply via our internal or external career site.