דרושים Forecasting & Capacity Planner Recruiting Planning Analysis ב-אמזון ב-United States, Seattle

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.The ideal candidate will be highly analytical, excited about data mining and generate insights that will influence the direction the organization. You will be curious and comfortable digging deep into data and developing core metrics to identify areas of improvement and partner with the business to find effective solutions. You will develop new ways to measure and track our performance, and improve the customer experience by building robust technical and analytical solutions to help us better understand customer needs. You will empower data driven decision making through implementing principles of data mining, data modelling, and analytical skills to define and measure metrics for evaluating health of the business. You will be able to extract, integrate and work on critical data to build out data pipelines, automate reports and dashboards to communicate your findings and leverage self-service tools to internal stakeholders.Key job responsibilities
• Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics.
• Implementing data structures using best practices in data modeling to provide on-line reporting and analysis using business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources.
• Gathering business and functional requirements and translating the gathered requirements into robust, scalable, operable solutions that work well within the overall data architecture.
• Analyzing source data systems and driving best practices in source teams.
• Analyzing large amounts of data, discovering and solving real world problems, and building metrics and business cases to help business teams to make decisions.
• Participating in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance to produce comprehensive, usable dataset documentation and metadata.
• Evaluating and making decisions around dataset implementations designed and proposed by peer data engineers. Identifying business process improvements from the data level.
• Analyzing and evaluating business process, and through data driven insights proposing and implementing business process improvement.About the team
Diverse Experiences
AWS 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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 4+ years of experience with data visualization using Tableau, Quicksight, or similar tools
- 4+ years of experience with data modeling, warehousing and building ETL pipelines
- 4+ years of experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 4+ years of experience working as a BIE in a technology company
- 4+ years of experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- 3+ years of experience with forecasting and statistical analysis
- 3+ years of experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- 3+ years of experience in Statistical Analysis packages such as R, SAS and Matlab

Key Responsibilities:
Define and drive the multi-year vision for a big data processing platform.
#madsjobs

- 3+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams

- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

Application deadline: Jan 23, 2026You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Key job responsibilities
- Act as the Americas (North America and South America) cross regional subject matter expert on topology change management and infrastructure demand planning.- Work with network engineering to ensure that the highest degree of design consistency, network efficiency, cost optimization, and long-term scalability of the backbone network is delivered.- Compile topology information and performance metrics and make recommendations for improvements based on their findings.- Manage network change (migrations) as our network evolves to support increased traffic volumes and geographic expansion.- Translate backbone and edge forecasts into actionable network infrastructure projects.- Own network availability, performance and remediation plans to address non-compliance.- Document the physical infrastructure of the rest of world backbone infrastructureA day in the life
The Planner role focuses on driving backbone performance improvements and managing network planning across AMER region. Daily activities include coordinating with Business Development and Network Engineering teams to develop infrastructure plans, analyse performance metrics, and implement optimization strategies. You'll maintain topology documentation, manage network changes, and serve as a subject matter expert for cross-regional planning. The role requires strong analytical skills to translate forecasts into actionable projects while ensuring network efficiency and cost optimization. You'll work closely with internal stakeholders to drive strategic planning initiatives and maintain high-availability solutions at scale.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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- A Bachelor's Degree in an IT, Computer Science, Engineering, or equivalent combination of education and work experience.
- Minimum of 5-years telecommunications industry experience in a similar environment.
- Direct technical experience working in a company owning or operating long haul dark fiber networks and DWDM systems.
- Ability to demonstrate where they have influenced the planning, design, development, contracting, implementation, and operation of long-haul backbone networks.
- Extensive knowledge of IP peering ecosystems, fiber optic networks, submarine cables and the interconnection of these networks in order to obtain the highest availability for delivering online services globally.
- Demonstrated ability to formulate data driven decisions that lead to results.

- Experience working at a large network operator, OTT or Internet Service Provider.
- Experience with co-location ecosystem, and site selection and development for data-center and networking scaling and expansion projects.
- Demonstrated ability to anticipate customer requirements and development of strategic plans.
- Experience interacting with senior executives and other management within your own company and externally; and working across commercial, technical, domestic, and international arms of an organization.

This is a Technical Infrastructure Program Manager (TIPM) role responsible for working across the entire AWS Organization to own the planning and forecasting process related to site exits, rack retirements, and related optimization efforts which establish capacity plans, and work across AWS to manage strategic execution, while implementing process innovations and improvements to continuously evolve forecasting models. You will conduct modeling and scenario analysis and make data-driven recommendations that inform capacity and capital expenditure decisions, and take relevant actions. You will partner with key stakeholders to bridge position changes affecting demand, address related short and long-term capacity constraints, and write supporting documentation for related capital expenditures. You will drive accountability across the infrastructure organization and develop monitoring mechanisms and escalate any risks to the health of the infrastructure business up thru the organization, including executive leadership.This position requires that the candidate selected be a US Citizen and obtain and maintain an active TS/SCI security clearance.Key job responsibilities
• Manage near-term (0-2 year) data center capacity and infrastructure, including migration coordination, inventory management, network requirements, and resource optimization.
• Develop and support long-range planning (0-13 years) for site exits, infrastructure transitions, and capacity forecasting.
• Optimize allocation of data center resources to support growth for US-based AWS ADC contracts.
• Streamline reporting, benchmark forecasting assumptions and highlight key supportability risks for stakeholders.
• Monitor and optimize power and space utilization across facilities.
• Analyze planning models to identify risks and opportunities, resolving constraints through demand and supply owner negotiation.
• Develop and implement scalable processes while identifying and mitigating business risks.
• Communicate effectively with diverse stakeholders, from operational teams to executive leadership.About the team
*Why AWS*
*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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.*Work/Life Balance*
*Inclusive Team Culture*
*Mentorship and Career Growth*
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- BA/BS degree (Preferably in Physics, Engineering, Finance, Business, or Mathematics, however non-technical degrees will definitely be considered) -OR- 5+ years equivalent work experience in capacity planning, production planning, operations planning, or inventory planning or related experience (e.g. forecasting, planning, optimization, etc.)
- Demonstrated project management and analytical skills.
- Working-level knowledge of Excel (Pivot charts, VLookUps, modeling) and SQL

- Prior experience working in public cloud sector with MBA or other Master’s in a related field AND 3+ years program or product management
- Strong interest and working knowledge of ML/AI, GPU, chip roadmaps.
- Excellent written composition and verbal communication skills with experience partnering with stakeholders to develop quantitative and qualitative analysis to solve business problems
- A combination of diplomacy, empathy and firm backbone in order to drive stakeholder engagement and buy-in, drive sound solutions, and deliver results.
- Demonstrated project management skills, including managing multiple projects or programs at once in a fast-paced, deadline-driven environment and demonstrated ability to engage and influence executive leadership
- Advanced forecast modeling techniques including safety stock optimization and sensitivity analysis
- Proven judgement to make timely, defensible decisions, with the character to admit when they don't know the answer and the willingness to go out and find it
- Intermediate to advanced knowledge of Excel (macros and HTML embeds), experience with business intelligence and data visualization and reporting tools, and intermediate to advanced knowledge of SQL, Visual Basic or other programming languages.

You’ll apply your creative and critical problem solving skills to quickly design and build tooling that enables programmatic automation at a massive scale. You must have a passion for engineering solutions to complex security challenges, and recognize and fill gaps in capabilities. Above all, you should be passionate about information security, the threat landscape and security automation and tooling.
About the team
Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Training & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- Bachelor's degree in computer science or equivalent
- Knowledge of networking protocols such as HTTP, DNS and TCP/IP
- 5+ years experience working in incident response response, security automation tooling, threat intelligence, or forensics.

- Experience programming in Python, Ruby, Go, Swift, Java, .Net, C++ or similar object oriented language
- 3+ years experience performing detection engineering in a dedicated or hybrid capacity supporting incident response and threat intel operations.
- 5+ years experience working in incident response response, security automation tooling, threat intelligence, or forensics.
- Experience with Amazon Web Services.
- Experience in Security Incident Response and proficiency in at least one of the following domains: Malware Analysis / Reverse Engineering; Digital Forensics; Security Tool Development & Automation; Programming/Scripting; Network & OS Security; Identity Management

BASIC QUALIFICATIONS
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 3+ years of hands-on analytics work experience, with proven quantitative orientation
- 3+ years of work experience using business intelligence tools like Tableau, QuickSight, PowerBI, etc. as well as advanced skills in Excel
- Hands on experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
- 2+ years of work experience in hands-on forecast modeling and statistical analysis
PREFERRED QUALIFICATIONS
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- 2+ years of professional experience in building demand forecasting models or equivalent field
Key job responsibilities
Key job responsibilities:
- The role requires technical agility with understanding of forecasting methods and models
- Owning the analytics space including the BI architecture to support Forecast Planning cycles
- Design, develop and maintain scalable and reliable analytical tools, dashboards, and metrics that drive key forecast and planning decisions
A day in the life

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- 2+years of professional experience in building demand forecasting models or equivalent field

Responsibilities:
Interact with business customers to understand and document their business processes and requirementsAble to code with any python or any such programming language to calculate and present data.Key job responsibilities
Deliver reliable, scalable, and efficient business solutions by supporting all phases of the software development life cycle (SDLC), including requirements gathering, modeling & design, development, testing, deployment, integration, and documentation.Provide support and improvement across series of internally development models, systems and tools.

Bachelor's Degree in Information Systems, Computer Science, Engineering, Math, Finance/Accounting, or a related discipline1+ year experience working in financial planning/budgeting, business analysis, or a related analytics field that includes financial modeling, problem solving, and gathering/translating business requirements1+ year experience working with IBM Cognos TM1 (Planning Analytics) solutions or related Performance Management technologies (Hyperion, SAP, Anaplan or similar)

Experience with dimension management software processes and MDM toolsExperience with Python, particularly TM1Py.Project management & reporting experience, and familiarity with software development methodologiesFamiliarity with AWS solutions such as S3 and Redshift · Knowledge of SQL authoring, RDBMS database interaction, data warehousing concepts, or third-party ETL toolsSuccessful experience working in a fast-paced, results-oriented environment