Jobs
Senior Production Planning Analyst (level 5)
Organization: Global Finance Solutions (GFS)
Amazon is a US-based multinational electronic commerce company headquartered in Seattle, Washington. Since its founding, Amazon has grown from an online bookstore into a global technology and operations leader, guided by its vision to be Earth’s most customer-centric company—where customers can find and discover anything they want to buy online.
Amazon’s Global Finance Solutions (GFS) organization operates in a fast-paced, data-driven, and highly collaborative environment with an unwavering focus on delivering exceptional customer experiences. GFS is seeking a Senior Production Planning Analyst to join the Production Planning Team (PPT), a critical function responsible for enabling scalable, cost-effective, and reliable labor planning across Amazon’s fulfillment and delivery network.
Role Overview:
The Senior Production Planning Analyst plays a strategic role in developing and optimizing labor and production plans that support Amazon’s Speed Fulfillment Centers (FCs). This role owns complex planning initiatives, drives continuous improvement through advanced analytics, and influences network-level decisions through partnership with senior operations, finance, HR, supply chain, transportation, and technology stakeholders.
The ideal candidate combines strong analytical and technical expertise with the ability to think broadly and strategically about operational challenges. This role requires comfort operating in ambiguity, leading cross-functional initiatives, and translating complex data into actionable insights that drive measurable business outcomes.
Key job responsibilities
-Lead production and labor planning efforts, including ownership of cost and service optimization for the LATAM
-Develop and influence short-, medium-, and long-term operational and labor plans that balance customer experience, service levels, and variable staffing costs
-Partner with senior business, finance, and operations stakeholders to define planning assumptions, gather requirements, and drive data-backed recommendations
-Design and apply advanced forecasting methodologies using trend analysis, statistical modeling, and scenario planning to support decision-making
-Analyze complex, ambiguous business problems by identifying root causes and developing scalable, forward-looking solutions
-Influence network-level strategic decisions through clear, data-driven communication with senior leadership
-Communicate complex analyses and recommendations effectively through written narratives, executive presentations, and verbal forums
-Lead and contribute to global production planning initiatives, including large-scale project rollouts supporting business growth and operational transformation
-Drive continuous improvement, standardization, and automation of planning processes across fulfillment and delivery sites
-Act as a subject matter expert for production planning, partnering closely with Speed FC leadership, HR, Finance, Supply Chain, Transportation, and software development teams
Basic Qualifications
- Bachelor’s degree in Finance, Accounting, Business, Economics, Engineering, Analytics, Mathematics, Statistics, or a related quantitative or technical field
- Strong written and verbal communication skills, with demonstrated ability to present complex technical and analytical concepts clearly to senior executives and non-technical audiences
- Advanced proficiency in Microsoft Excel, including macros, pivot tables, and lookup functions
- Demonstrated strong analytical, problem-solving, and attention-to-detail skills, with the ability to influence outcomes through data-driven insights
- Experience troubleshooting technical systems or managing complex analytical tools and models in production environments
- Experience applying statistical models at scale and developing automated analytical or planning systems
- Working knowledge of statistical analysis and quantitative modeling techniques
- Proven ability to operate effectively in ambiguous, fast-paced environments, prioritize competing demands, and deliver measurable results
- Effective English and Portuguese language skills (verbal and written)
Preferred Qualifications
- Experience with SQL, programming languages, and Excel VBA to build scalable analytical and automation solutions
- Experience defining, tracking, and evolving performance metrics and KPIs to measure operational and financial performance
- Experience conducting financial, operational, or other advanced quantitative analyses to support strategic decision-making
- Master’s degree in Business Administration, Finance, Economics, Computer Science, Data Science, Engineering, or a related field
- Experience in operations, fulfillment, logistics, or supply chain environments
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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About Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
Employees
Seattle
Headquarters
$1.5T
Valuation
Reviews
2.9
10 reviews
Work-life balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
Recommend to a friend
Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
4 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total per year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
Interview experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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