Amazon

Sr.Production Planning Analyst, Production Planning Team

Posted On

Jan. 24, 2026

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Finance & Accounting

Apply By

Feb. 10, 2026

Job Description

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) 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

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

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- Bachelor's 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

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