Amazon Devices is one of the most innovative and fastest growing businesses at Amazon. Within the Amazon Devices, the Pre-Owned business team owns the Trade-in experience, and manages the sales of a broad portfolio of pre-owned devices. We set big goals and are looking for people who can help us reach and exceed them.
Do you want to work in a role where you are encouraged to build and have the autonomy to push boundaries? Do you love to see an immediate impact from your actions? The Pre-Owned team is seeking a Senior Sales Operations and Planning Manager to lead the Trade-in and pre-owned planning and operational processes. The role is responsible for building and managing planning and forecasting with the intent of maximizing the operational capacity of our suppliers, and revenue recovery from the pre-owned sales. The role operates in partnership with the pre-owned sales, the operations, finance and Reverse Logistics stakeholders. In this highly visible senior role, you will be responsible for ensuring efficiencies across the Vendor operations as well as the Sales to provide our customers the product that they want, when they want. You will need to be comfortable with ambiguity, large amount of data and be able to distill and propose improvements ensuring revenue recovery and healthy inventory.
Key job responsibilities
- Leading the sales and operations forecasting and planning processes for the Trade-in Operations and the Pre-Owned Sales. This also means being the key point of contact for the Trade-in Vendor Managers, Sales Managers and the Reverse Logistics partners.
- Build, monitor and manage all the Key performance metrics health for planning and forecasting.
- Provide strategic insights to drive efficiencies in refurbishment and operational processes (both internal and external).
- Manage the Launch and End of Sales Processes across all categories.
- Monitor and influence stakeholder supply related performance tracking metrics.
- Contribute towards the annual operational planning processes in partnership with the Devices Reverse Logistics and Finance Teams.
BASIC QUALIFICATIONS
- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4+ years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
- Bachelor's degree, or 5+ years of professional or military experience
- Experience working with complex data sets
- Experience communicating results to senior leadership
PREFERRED QUALIFICATIONS
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
- Knowledge of statistics or other analytical techniques
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.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/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.