Job Information
Amazon Sr. Business Intelligence Engineer, Supply Chain Science in Santa Monica, California
Description
Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you?
We are looking for a Senior Business Intelligence Engineer to help design cutting-edge scientific solutions to optimize our American fulfillment strategy, improving our Customer Experience and minimizing our cost and carbon footprint.
Your main role will be developing complex and robust data pipelines, ensuring we are consuming the highest quality data in our models. Your expertise in cloud architecture will enable us to use scalable and cost-effective infrastructure, enhancing the efficiency of our overall scientific solutions. Additionally, you will be encouraged to introduce innovative ideas to influence and enhance the organization's BI architecture, promoting continuous improvement.
You will collaborate with business, operations and technical stakeholders and leaders, assisting their decision-making by analyzing and deep diving into data. You will be proactive in identifying new business opportunities and proposing data-driven improvements to enhance our Supply Chain. You will also lead meetings with senior managers, and directors, adjusting your communication to fit the audience. Your skill in managing these conversations will be crucial for keeping our strategies aligned and making progress across the board.
Your job will involve breaking down complex problems into manageable tasks. You will need deep analytical skills and a solid scientific background for this role, along with excellent communication skills and the ability to influence people at different levels of the business. Additionally, you'll be guiding and mentoring other Business Intelligence Engineers, setting an example for them to follow and helping them grow in their roles.
Key job responsibilities
Design and develop complex data pipelines to ensure high-quality data consumption in modeling.
Design a scalable and cost effective cloud infrastructure for enhance scientific solutions.
Communicate data-driven insights and recommendations to diverse senior stakeholders through technical and/or business papers.
Manage several, high impact projects simultaneously.
Consult and collaborate with business and technical stakeholders across multiple teams to define new opportunities to optimize our Supply Chain.
A day in the life
“Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan”
“If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!”
We are open to hiring candidates to work out of one of the following locations:
Bellevue, WA, USA | New York, NY, USA | Santa Monica, CA, USA
Basic Qualifications
7+ years of professional or military experience
7+ years of SQL experience
Experience working as a BIE in a technology company
Experience building measures and metrics, and developing reporting solutions
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
Experience working directly with business stakeholders to translate between data and business needs
Preferred Qualifications
Master's degree in statistics, data science, or an equivalent quantitative field
Experience programming to extract, transform and clean large (multi-TB) data sets
Experience with operations/supply chain
Experience with theory and practice of design of experiments and statistical analysis of results
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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.