AmazonSr. Forecast Analyst, Amazon Customer Service
Amazon is hiring a Sr. Forecast Analyst, Amazon Customer Service in Seattle, United States. It pays $115k-$160k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this customer service role is Little AI ●○○○: aI is not part of the work.
- The listed pay starts 15% above the typical customer service posting on Level.
- Tools and skills the posting cites include Python, SQL and R.
- Level classifies it as a senior role.
- Level lists 21,000+ other open roles at Amazon.
AI in this role
Develop statistical and machine learning forecasting models to optimize global customer service workforce planning.
This is a high impact role with goals that directly impacts the bottom line of the business. Accurate forecasts drive improvements in cost and quality of our customer service on a global scale.
This role requires a delicate balance in delivering models that are statistically grounded but also explainable operationally - business leaders must be able to understand what variables impact forecast variance and how they should respond tactically. This is a high visibility role with heavy interaction with senior leadership. Analytical ingenuity and leadership, coupled with demonstrated cross-functional partnership, are critical skills for this role.
The ideal candidate has an accomplished professional background with demonstrated proficiency in advanced mathematics and/or statistics. They are comfortable creating strategic recommendations in a thoughtful yet concise manner, and obtaining organizational "buy-in" at senior levels. They are well-organized, can manage multiple analyses/projects simultaneously, and are intellectually curious.
Key job responsibilities
- Responsible for modeling forecasting problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining and visualization techniques.
- Collaborate effectively with internal stakeholders and cross-functional teams to analyze forecast variances, understand and mitigate variance drivers, identify opportunities to improve operational efficiencies, and deliver successfully against high organizational standards.
- You should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner.
- You should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences.
About the team
Network Solutions optimizes capacity across operations sites that help minimize customer wait time and route customers to the associate who can best resolve their issue, on the first contact. We build forecasting models and optimization tools that help predict the hourly capacity requirement, including when there are new device or game launches, or when there is a special event, such as Prime Day.
Basic qualifications
- Bachelor's degree in supply chain, business, engineering, finance or related technical or quantitative field
- 5+ years of experience as a forecasting analyst or related positions
- Experience with SQL and one or more of the statistical modeling languages/ toolboxes (R, SAS, SPSS, Matlab, or Python)
- Excellent communication skills (verbal and written) to share findings with executives
- Ability to work successfully in a dynamic, fast-paced environment
Preferred qualifications
- MBA or Master’s degree in Mathematics, Statistics, Computer Science, Engineering or other business/analytical disciplines, with 2+ years of related work experience
- Experience in forecasting, time-series, and multivariate regression
- Combination of technical skills and business savvy to interface with all levels and disciplines across the organization
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 115,400.00 - 160,000.00 USD annually
How we rate this
Sr. Forecast Analyst, Amazon Customer Service at Amazon rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in customer service jobs at this level
Pay
- This job starts at
- $115k
- Typical customer service job
- $100k
This posting starts 15% above the typical customer service job. See customer service jobs
Questions you could be asked
- Tell me about a project where forecasting was part of your work. What did you do?
- Tell me about a project where statistical modeling was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where data mining was part of your work. What did you do?
- Tell me about a project where capacity planning was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Forecasting, Statistical Modeling, Machine learning, Data Mining, and Capacity Planning. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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