Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline.
We set big goals and are looking for people who can help us reach and exceed them. Kindle is one example of this. Kindle is the best-
selling product in the history of Amazon.com, and the Kindle business is one of the most innovative and fastest growing businesses at Amazon.
The Amazon device team designs & engineers high profile consumer electronics, including the best-selling Kindle family of products.
We have also produced groundbreaking devices like Fire tablets, Fire TV, and Amazon Echo. We provide customers a fully integrated service with instant access to over 27 million movies, TV shows, magazines, newspapers, books, songs, apps, and games.
The Alexa Data Services team is part of Amazon’s speech platform organization that provides speech recognition capabilities for a variety of Amazon products and searches, most visibly, the Amazon Echo products.
ADS operations is hiring a Workforce Analyst. This person is responsible for developing and implementing network staffing and workflow models for headcount planning.
He / She will also be responsible to manage workflow operations, scheduling of associates, service level goals and routing of all tasks through in-
house technology. He / She will experience a range of problem solving situations, strategic to real-time, requiring use of data collection and analysis.
The ideal candidate will have good project management experience as well as exposure to a complex workflow scheduling process set.
Support the delivery of service levels, and productivity targets for the site and marketplaces he / she is supporting.
Responsible for the assignment of tasks to the operations by optimizing the usage of workforce.
Manage the development of global standards (Average Handle time, NPT, Shrinkage, Attrition) for ADS planning ensuring that all changes successfully inter-
operate with existing operational processes.
Work with operational and support teams to effectively plan short term non-productive time
Work closely with data associates and team leads to pro-actively identify issues and take appropriate actions to minimize impact
Assist the development of Workforce Management & Scheduling system by partnering with in-house technology teams
Running what-if scenarios for associate staffing and make proper use of statistical tools.
Manage and drive change through effective use of clearly defined delivery plan, ensuring stakeholders receive regular updates.
Lead and participate in global ADS projects and initiatives. He / She will own providing optimal solutions for upcoming initiatives.
Proactively identify service improvement opportunities and ensure continuous improvement within Capacity Planning across strategic and tactical forecasting, advisor scheduling, metric reporting and real-time delivery.
Candidates with superior analytical skills in any industry are encouraged to apply.
Bachelor’s degree or equivalent experience
3+ years of Call Centre or similar experience related to a solid understanding of production environment metrics (such as Forecasting, AHT, Shrinkage, and FTE’s).
MS Excel skills and experience in working with the following Microsoft Suite and Reporting Platforms : MS Excel, MS Access, SQL and / or MS Access skills required
Proven planning and time management skills with the ability to deal with multiple demands on time and deal with ambiguity.
Demonstrated analytical, problem solving and decision making skills that foster developing creative solutions.
Ability to deep dive, conduct root cause analysis and implement corrective actions.
Flexible, people oriented and able to work in a team environment.
Experience exercising strong oral, written, listening and interpersonal skills
Ability to develop presentations leveraging a proficiency in MS Office.
Excellent customer focus and bias for action.
Prior experience in data mining and analysis in any industry.
Prior Workforce experience in a contact center in any environment, preferably in data labeling industry.
Experience with the Workforce Management tools.
Ability to develop presentations and a proficiency in MS Office suite
VBA Python scripting skills is a plus