Scheduling Analyst WFM AWS Support Engineering
Scheduling Analyst WFM AWS Support Engineering
Posted on :
13-04-2025
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1 Vacancy
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Job Description
Are you passionate about leveraging data analytics to drive operational excellence Join our dynamic Workforce Management team where youll transform complex data into strategic workforce solutions using BI tools and advanced analytics. As our WFM Specialist youll have the opportunity to directly impact business outcomes through innovative scheduling solutions and predictive modeling.
Key job responsibilities
1. Schedule Generation and Optimization:
* Regularly generate and optimize schedules to maximize resource efficiency
* Apply advanced statistical knowledge and forecasting techniques
* Develop and implement capacity planning models
* Conduct scenario analysis for optimal resource allocation
2. Schedule Management:
* Ensure timely updates of work shifts in collaboration with Operations
* Manage timeoff requests based on shrink goals
* Track and update NonProductive Time (NPTs)
* Oversee shift swap requests and shift bid processes
3. Performance Monitoring and Analytics:
* Design and maintain realtime performance monitoring systems
* Develop and track KPI frameworks
* Create automated reporting solutions using advanced BI tools
* Conduct operational analytics for continuous improvement
4. Data Management and System Architecture:
* Design and implement ETL processes
* Maintain data integrity across WFM systems
* Develop automated workflow solutions
* Create and maintain data visualization dashboards
About the team
We are team of workforce schedulers and part of wider Workforce management (WFM) function. We support Operations team to strategically allocate people and resources track attendance and comply with constantly changing workplace laws and regulations. Our primary objective is to understand business rhythm using historical data and trends to predict future staffing needs and then create schedules that best fit the forecasted model and automatically tracks employee time and attendance.
Mission Statement
Providing support and guidance to operations on staff scheduling to ensure we have right engineer available with the right skill at the right time.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
AWS Sales Marketing and Global Services (SMGS) is responsible for driving revenue adoption and growth from the largest and fastest growing small and midmarket accounts to enterpriselevel customers including public sector. The AWS Global Support team interacts with leading companies and believes that worldclass support is critical to customer success. AWS Support also partners with a global list of customers that are building missioncritical applications on top of AWS services.
1 years of program or project management experience
Experience in a highly analytical resultsoriented environment with cross functional interactions
Knowledge of SQL
Bachelors degree in computer science engineering analytics mathematics statistics IT or equivalent
Experience in forecast modeling and ETL process design including scenario analysis and data pipeline development
Experience in requirement gathering and ability to write clear and detailed requirement document
Work a flexible schedule/shift/work area including weekends nights and/or holidays
Advanced statistical analysis capabilities
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.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $50100/year in our lowest geographic market up to $107200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key job responsibilities
1. Schedule Generation and Optimization:
* Regularly generate and optimize schedules to maximize resource efficiency
* Apply advanced statistical knowledge and forecasting techniques
* Develop and implement capacity planning models
* Conduct scenario analysis for optimal resource allocation
2. Schedule Management:
* Ensure timely updates of work shifts in collaboration with Operations
* Manage timeoff requests based on shrink goals
* Track and update NonProductive Time (NPTs)
* Oversee shift swap requests and shift bid processes
3. Performance Monitoring and Analytics:
* Design and maintain realtime performance monitoring systems
* Develop and track KPI frameworks
* Create automated reporting solutions using advanced BI tools
* Conduct operational analytics for continuous improvement
4. Data Management and System Architecture:
* Design and implement ETL processes
* Maintain data integrity across WFM systems
* Develop automated workflow solutions
* Create and maintain data visualization dashboards
About the team
We are team of workforce schedulers and part of wider Workforce management (WFM) function. We support Operations team to strategically allocate people and resources track attendance and comply with constantly changing workplace laws and regulations. Our primary objective is to understand business rhythm using historical data and trends to predict future staffing needs and then create schedules that best fit the forecasted model and automatically tracks employee time and attendance.
Mission Statement
Providing support and guidance to operations on staff scheduling to ensure we have right engineer available with the right skill at the right time.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
AWS Sales Marketing and Global Services (SMGS) is responsible for driving revenue adoption and growth from the largest and fastest growing small and midmarket accounts to enterpriselevel customers including public sector. The AWS Global Support team interacts with leading companies and believes that worldclass support is critical to customer success. AWS Support also partners with a global list of customers that are building missioncritical applications on top of AWS services.
1 years of program or project management experience
Experience in a highly analytical resultsoriented environment with cross functional interactions
Knowledge of SQL
Bachelors degree in computer science engineering analytics mathematics statistics IT or equivalent
Experience in forecast modeling and ETL process design including scenario analysis and data pipeline development
Experience in requirement gathering and ability to write clear and detailed requirement document
Work a flexible schedule/shift/work area including weekends nights and/or holidays
Advanced statistical analysis capabilities
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.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $50100/year in our lowest geographic market up to $107200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
IC
Employment Type
Full-Time
Key Skills
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