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Sr. Business Intelligence Engineer, SCOT Optimal Sourcing Systems

Amazon

Amazon

Operations, Data Science
Memphis, TN, USA
Posted on Jul 23, 2024

DESCRIPTION

Supply Chain Optimization Technologies (SCOT) Strategic Sourcing Systems (OSS) at Amazon is seeking a Senior Business Intelligence Engineer (BIE) to join our Inbound Visibility, Signals and Orchestration (VISION) team. As a Senior BIE in this role, you will be a key contributor to enhancing the Inbound efficiency and accurate predictions of our supply chain sourcing inbound operations through business intelligence. Our current focus is on improving overall visibility that Amazon has into incoming inbound freight through improving signal quality as well as signal aggregation. This allows us to orchestrate inbound freight through the supply chain, and improve overall inbound lead times. You will collaborate with cross-functional teams to drive data-driven insights that optimize inbound signals, scheduling, and overall supply chain performance.

Key job responsibilities
- Lead the development and implementation of advanced predictive models and algorithms that optimize inbound signals, enhance scheduling accuracy, and improve supply chain visibility.
- Collaborate closely with data scientists, analysts, and stakeholders to understand business requirements and translate them into actionable technical solutions.
- Apply advanced statistical and machine learning techniques to analyze complex data sets, identify patterns, and forecast supply chain trends for effective decision-making.
- Design and maintain scalable data pipelines, ensuring data quality, accuracy, and accessibility for predictive modeling and reporting purposes.
- Contribute to the ongoing improvement of the business intelligence infrastructure, tools, and processes within the VISION team.
- Provide mentorship and guidance to junior team members, fostering skill development and promoting a collaborative working environment.
- Stay current with industry trends, emerging technologies, and best practices in business intelligence, supply chain optimization, and predictive analytics.


BASIC QUALIFICATIONS

- 5+ years of SQL experience
- 5+ years of professional or military experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with AWS technologies
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience with theory and practice of design of experiments and statistical analysis of results

PREFERRED QUALIFICATIONS

- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Master's degree in statistics, data science, or an equivalent quantitative field
- Knowledge of data warehousing and data modeling

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.