Elevate Amazon's Fulfillment Network with Strategic Workforce Planning
We're seeking a dynamic data-driven professional to transform how we optimize staffing and operational efficiency across our Fulfillment Centers. In this pivotal role, you'll leverage advanced analytics to design innovative workforce strategies that directly impact customer experience and operational excellence.
A Day in the Life
Your day will be a blend of data exploration, collaborative problem-solving, and strategic planning. You'll dive into complex datasets, develop staffing models, and engage with cross-functional teams to create dynamic workforce solutions. Expect to balance deep analytical work with collaborative discussions that shape our operational strategies.
About the Team
Our Global Finance Solutions team is a collaborative, forward-thinking group dedicated to driving operational excellence. We're passionate about using data to create meaningful improvements in how we serve our customers. Our team values innovative thinking, continuous learning, and the ability to translate complex insights into actionable strategies.
Key Job Responsibilities
Develop comprehensive staffing plans and shift structures for Fulfillment Centers and delivery stations using advanced analytical techniques
Collaborate with operations, HR, finance, and supply chain teams to create integrated workforce planning strategies
Analyze complex datasets to identify trends, optimize labor allocation, and recommend strategic improvements
Create detailed reports and presentations to communicate insights to senior leadership
Support network-level strategic decision-making through robust data analysis and recommendations
Basic Qualifications
Bachelor's degree in Business, Analytics, Operations Research, or related field
Strong proficiency in statistical analysis and data visualization tools
Advanced spreadsheet and database skills
Demonstrated ability to work effectively in a collaborative, fast-paced environment
Excellent communication and presentation skills
Preferred Qualifications
Master's degree in Business Analytics, Operations Management, or related field
Experience with workforce planning or operations optimization
Advanced statistical modeling and predictive analytics skills
Knowledge of supply chain and logistics principles
Certification in data analysis or business intelligence tools
Key job responsibilities
Job Title: Business Operations Analyst - Supply Chain Network Planning
Elevator Pitch:
Transform complex supply chain challenges into strategic solutions that drive operational excellence. In this pivotal role, you'll leverage data-driven insights to optimize network planning, reduce costs, and create innovative strategies that directly impact our global business performance.
A Day in the Life:
Your day will be a dynamic blend of analytical problem-solving and collaborative strategic planning. You'll dive deep into data trends, develop comprehensive operational models, and translate complex statistical analyses into actionable business recommendations that drive meaningful organizational impact.
About the Team:
We are a collaborative and forward-thinking team dedicated to transforming supply chain operations through intelligent planning and innovative approaches. Our group is committed to continuous improvement, leveraging cutting-edge analytical techniques to solve complex business challenges and create sustainable operational strategies.
Key Job Responsibilities:
Develop comprehensive operational plans using advanced trend analysis and statistical modeling to support strategic decision-making
Conduct in-depth root cause analyses to identify and implement process improvements across network operations
Create detailed forecasting models that optimize staffing, costs, and service delivery
Communicate complex analytical insights to senior leadership through compelling verbal and written presentations
Collaborate on global operational initiatives to support evolving business requirements
Basic Qualifications:
Bachelor's degree in Business, Operations Management, Statistics, or related quantitative field
Proficiency in statistical analysis and modeling techniques
Strong analytical and problem-solving capabilities
Advanced spreadsheet and data visualization skills
Demonstrated ability to translate complex data into strategic insights
Preferred Qualifications:
Master's degree in Business Analytics, Operations Research, or related field
Experience with supply chain optimization methodologies
Advanced statistical software expertise
Knowledge of enterprise resource planning systems
Background in global network planning or logistics operations
BASIC QUALIFICATIONS
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Bachelor's degree in Finance, Accounting, Business, Engineering, or a related field
Experience coordinating between technical teams, peers and business stakeholders
Knowledge of Excel at an advanced level
Experience in a customer-focused field or business
Experience dealing effectively with customers during problem resolution and operating efficiently under pressure, or experience troubleshooting and debugging technical systems
Experience in applying statistical models for large-scale application and building automated analytical systems
Knowledge of statistics or other analytical techniques
Experience comfort with ambiguity
PREFERRED QUALIFICATIONS
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Knowledge of SQL and VBA
Experience in understanding performance metrics and developing them to measure progress against key performance indicators
Experience in quantitative role (engineering, process re-engineering, quality assurance), or experience in tax, finance or a related analytical field
Master's degree or above in business, engineering, statistics, computer science, mathematics or related field
Experience with operations/supply chain
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.
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