Planning Analyst, Production Planning Team

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 Earths most customer-centric companywhere customers can find and discover anything they want to buy online.

Amazons 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 Amazons 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 Amazons Speed Fulfillment Centers (FCs) and delivery stations. 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 Responsibilities

Lead production and labor planning efforts including ownership of cost and service optimization for the JP SSD network and the broader Japan fulfillment network

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

Bachelors 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

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

Masters degree in Business Administration Finance Economics Computer Science Data Science Engineering or a related field

Experience in operations fulfillment logistics or supply chain environments

- Bachelors degree in finance accounting business economics engineering analytics mathematics statistics or a related technical or quantitative field
- Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
- Knowledge of Microsoft Excel (macros pivots lookups) at an advanced level
- Experience that includes strong analytical skills attention to detail and effective communication abilities or experience working with customers with a passion for delivering exceptional service
- Experience troubleshooting and debugging technical systems or experience in managing and troublshooting network and experience that includes strong analytical skills attention to detail and effective communication abilities
- Experience in applying statistical models for large-scale application and building automated analytical systems
- Knowledge of statistical analysis
- Experience dealing well with ambiguity prioritizing needs and delivering measurable results in an agile environment

- Experience with SQL programming and Excel VBA
- Experience in understanding performance metrics and developing them to measure progress against key performance indicators
- Experience performing financial or other quantitative analyses
- Masters degree in business administration finance economics computer science data science engineering or other related field
- Experience with operations/supply chain

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