Bellevue

Amazon's Fulfilled by Amazon (FBA) Voice of Seller team seeks a Senior Business Analyst with a strong technical skill set and a proven ability to influence across multiple organizations. Over the last 20 years, the share of physical gross merchandise sales sold on Amazon by third-party Sellers has grown. With Sellers in multiple countries listing their products for sale on the Amazon Marketplace, these Sellers are increasingly critical to delivering on Amazon’s vision of offering the Earth’s largest selection and lowest prices.This role will work with science and marketplace business teams to build advanced models to reduce end to end supply chain costs for FBA Sellers. You will build bridges to explain variance in inventory at granular levels to drive appropriate action within FBA product, marketplace business teams, and FBA Sellers. This is an analytical role which will require you to work closely with science and Machine Learning teams. This role will expose you to Seller pain points and ability to reshape their experience by influencing product vision and roadmap to implement step change product ideas globally. This is an opportunity to work in a startup like environment within Amazon and we seek an analytics leader who is motivated by a fast-paced and highly entrepreneurial environment. If you have a passion for innovation, for thinking big to tackle ambiguous problems, for solving some of the biggest technical challenges in the industry, and for building elegant products that delight our customers, we need you!Key job responsibilities• Analyze seller experience trends and build engagement metrics for each marketplace. • Identify opportunities to improve supply chain efficiency and reduce end to end supply chain cost for Sellers. • Design seller facing experiments liaising with Product and Science teams. • Develop Key Performance Indicators that help measure experimental efficacies • Create actionable bridges to explain variances in seller behavior to expected experimentation outcomes. • Engage with stakeholders across marketplace business teams, capacity, S&OP and Finance teams to socialize FBA inbound and inventory KPIs • Design and implement reporting solutions to enable stakeholders to manage the business and make effective decisions. • Support cross-functional teams on the day-to-day execution of the existent program implementation. • Monitor existent metrics, build new metrics, and partner with internal teams to identify process and system improvement opportunitiesA day in the lifeAs a Sr. Business Analyst, you will help develop analytic solutions to drive deep dives, provide insights into the health and state of the FBA business. You will transform data for the millions of unique products involving hundreds of thousands of Selling Partners and tens of millions of customers around the world into actionable business information, make it accessible to stakeholders worldwide. You will communicate complex ideas to leadership so they are easily understood. You will own the design, creation, and management of extremely large datasets. From Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports, dashboards, metadata modeling, pipeline development and monitoring. You will interact with leadership, scientists, program and product owners, and technical teams to gather requirements, structure scalable data solutions, and gain a deep understanding of key datasets. You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices. You will be responsible to tune query performance against large and complex data sets.BASIC QUALIFICATIONS- Bachelor's degree in supply chain management, operations, engineering, analytics or related field- 5+ years of business or financial analysis, product costing, procurement, or a quantitative role experience- 5+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience- Experience defining requirements and using data and metrics to draw business insights- Experience with QuickSight dashboard and visual creation ...

In Amazon Air (AIR), process driven techniques help us deliver smiles to both our internal and external customers daily. There are multiple ways to problem solve here, and we do it with consideration and respect for each other. We are diverse and united. Your thoughts, ideas, and contributions are highly valued here to solve any problem that we may encounter. There is no limit to how high you can “soar” here at Amazon Air!Amazon Air Cargo is looking for an experienced, self-starter Business Development Manager (BDM) to drive adoption of AIR's business-to-business (B2B) Air Cargo offering as an individual contributor. This is an exciting opportunity to drive exponential growth by building and scaling net new customer relationships. The ideal candidate will possess a proven track record of driving sales engagement. They will lead commercial sales activities including relationship management, pipeline management, prospecting, presenting capabilities, identifying opportunities, defining customer requirements, presenting solutions, building relationships, and retaining and expanding customers. The successful candidate will possess strong business acumen, negotiation skills, and subject matter expertise that enables them to drive specific engagement and interaction. They should also have a demonstrated ability to think strategically and analytically about business and product offerings, with the ability to build and convey compelling value propositions, and work cross-organizationally to build consensus. US Based Benefit Summary:Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:- Medical, Dental, and Vision Coverage- Maternity and Parental Leave Options- Paid Time Off (PTO)- 401(k) PlanKey job responsibilities- Serve as a key contributor on the Cargo Management team, defining and delivering initiatives that expand the Cargo program- Manage working-level relationships across the organization- Coordinate Business and Financial Health Reviews to discuss business performance and new opportunities, as well as provide benchmarking data and insights- Identify workflow inefficiencies and work to formulate and implement operational improvements at the network level- Use expertise and judgment to select stakeholders to determine the right goals, inform decisions, and design long-term solutions- Communicate goals, roles, responsibilities, and desired outcomes to cross-functional project teams to gain buy-in and deliver programs- Manage and coordinate multiple project assignments that continuously improve customers’ experience and develop best in class air cargo capabilities- Address barriers through problem solving, communication, and active coordination with stakeholders- Work within time constraints to meet business critical needs (often managing multiple, time-sensitive and high priority initiatives simultaneously), while measuring and identifying activities performed and ensuring service requirements are met- Systematically escalate problems or variances in the operating plan to the relevant owners and teams, following through to resolution to ensure they are delivered- Prepare and deliver business reviews to senior leadership, updating on progress and roadblocks- Domestic travel, up to 30% of the timeBASIC QUALIFICATIONS- Bachelor's Degree- 5+ years experience in product management, business development, program management, or management consulting- Experience in sales with prospecting and qualifying new customers- Experience exceeding targets using a consultative, solutions focused approach- Experience in a start up environment- Experience in stakeholder management and influencing at all levels within an organization ...

Amazon Inbound Transportation Business Intelligence is seeking a candidate who is passionate about leveraging data to deliver actionable insights that impact business decisions to improve customer experience. Amazon transportation encompasses all of the operations that deliver shipments from our fulfillment centers and third party locations to customers worldwide. Because we strive for faster delivery to customers a successful candidate must be passionate about identifying and building solutions that will help drive a more efficient network and better customer experience.This role offers the opportunity to influence and drive a growing business area. The Senior Business Intelligence Engineer (Sr. BIE) will partner with various Amazon Inbound Transportation (AIT) teams to define, develop and manage the cross-functional strategy for U.S. domestic inbound transportation. They are accountable for identifying gaps and opportunities for improvements, and keeping stakeholders/leadership informed of progress. This person will also collaborate with a diverse set of stakeholders including product managers, program managers, data scientists, software development engineers and other partner teams across all regions and transportation modes of U.S. domestic inbound. The Sr. BIE will build the foundational data pipelines and data tables, analyze large data sets, prove and disprove hypothesis, automate solutions and build self-service dashboards and reports. This person consistently employs high judgment and makes data-driven decisions, leading by example and influencing the AIT BI team to do the same.Key job responsibilities- Develop and lead design and execution of reporting solution for AIT - Work with product managers, data engineers, data scientists, and software engineers to define reporting needs- Build self-service tools and dashboard that not only gives aggregated metrics but also provide ways to pull granular data for defect verification, customer communication, deep-dives, etc.- Perform deep-dives and data analysis. Provide recommendation on new metrics or business decision.- Mentor teammates, provide inputs in team and org level strategic planning, lead cross org discussionsA day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan Learn more about our benefits here: https://www.amazon.jobs/en/internal/benefits/us-benefits-and-stockAbout the teamAmazon Inbound Transportation (AIT) is responsible for optimizing cost-effective flow throughout Amazon’s inbound network while providing Amazon with greater control, performance, and inbound visibility. The AIT BI team within AIT is responsible for inbound data analytics and engineering support for the AIT org and various stakeholder and partner teams.BASIC QUALIFICATIONS- 10+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining ...

Amazon has the world’s most complex supply chain: we fulfill global demand for hundreds of millions of products at lightning fast delivery speeds. We need your skills to optimize our supply chain, with the end goal of delighting our customers. A core part of the supply chain operations is Demand and Inbound Forecasting: We forecast the demand and arrival of tens of millions of products. The forecasts are used to make many decisions, such as automatically order hundreds of millions worth of inventory, decide where to place that inventory, and establish labor plans for WW warehouses.We are looking for a Sr. Business Intelligence Engineer to lead the development of new tools to monitor and improve forecast health. You will do this by detecting, diagnosing and correcting forecast problems and generating metrics and insights. You will have the resources and tools to help you deliver this mission and support from partner teams like Data Engineering/Data Science/Product.A successful candidate will be customer obsessed - the Forecasting org has 50+ unique customers. You will need to balance long-term thinking with short-term actions. You will be comfortable navigating an ambiguous environment, know how to confirm and reconfirm assumptions, and be able to harmonize disparate points of view.Key job responsibilities- Develop solutions that utilize the highest standards of analytical rigor with data integrity to provide reporting against large, multi-dimensional datasets and multiple sources- Partner with scientists, engineers, product managers, and program managers to build and productionize forecasting metrics; perform analysis to identify the root cause of issues and generate actionable insights to guide the appropriate solution- Engage stakeholders in constructive dialogues to convert business problems into logic problems that can be solved with data, statistics, and scripting- Build internal and customer-facing dashboards to provide metrics and convey insights which highlight forecast performance and explain variance- Manage and execute entire projects or components of large projects from start to finish including project management, data gathering and manipulation, data modeling and finding synthesis, and communication of insights and recommendations- Mentor team members by coaching them on the analytics lifecycle, including identifying the optimal analytical method, building and automating the solution, and generating insights from the resultsA day in the life- Engage regularly with customers to identify and prioritize forecast improvement opportunities- Define and deliver a long-term vision to solve the customer's problems and improve forecast accuracy- Lead the definition and governance of key business metrics, and engineer data-driven processes that drive business value- Create and foster an environment that values and promotes an inclusive approach to problem solving and continuous learningAbout the teamWe are ASIN Forecasting Analytics Team. We monitor the ASIN demand and inbound inventory forecasts for Amazon Businesses WW. We report on historical forecast performance, the changes of future forecasts, and the health of future forecasts. We develop intervention models to correct forecasts when defects exist or for scenarios that are not addressed adequately by core models. In addition to forecast accuracy, we help manage forecast volatility.We partner with stakeholder teams to assess the future forecast against existing supply conditions. BASIC QUALIFICATIONS- 7+ years of professional or military experience- 6+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Experience with AWS technologies- Master's degree in statistics, data science, or an equivalent quantitative field- Experience managing, analyzing and communicating results to senior leadership ...

Are you interested in diving deep into data and engineering the metrics model that drives continuous improvement for Amazon’s global delivery operations? Do you have solid problem solving abilities, metrics-driven decision making and want to solve problems with solutions that will meet the growing worldwide need? Then Middle Mile Technology is the team for you. We are part of building the world's fastest, most reliable, and lowest cost transportation network that provides customers the most control and are looking for a top notch Senior Business Intelligence Engineer. As an Amazon Senior Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should have deep expertise in the design, creation, management, and business use of datasets at scale. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. You should excel at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. You should be able to work with business customers in understanding the business requirements and implementing reporting solutions. Above all you should be passionate about bringing large datasets together to answer business questions and drive change.Key job responsibilitiesKEY RESPONSIBILITIES - Design automated solutions for recurrent reporting (daily/weekly/monthly). - Design automated processes for in-depth analysis. - Design automated data control processes. - Collaborate with the software development teams to build solutions. - Learn, publish, analyze and improve management information dashboards, operational business metrics decks and key performance indicators. - Improve tools and processes, scale existing solutions, and create new solutions as required based on stakeholder needs. - Participate in annual budgeting and forecasting efforts. - Perform monthly variance analysis and identify opportunities.BASIC QUALIFICATIONS- 5+ years of SQL experience- 5+ years of professional or military experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with AWS technologies- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Experience with theory and practice of design of experiments and statistical analysis of results ...

WW Ops Finance S&A team is seeking an experienced Senior BI Engineer with excellent ETL skills along with analytical abilities. Would you like to be part of team driving business intelligence strategies for one of the largest supply chain in the world and helping improve delivery experience for billions of Amazon customers worldwide? Come join us!Key job responsibilitiesThe ideal candidate is a motivated self-starter that can work independently in a fast paced, ambiguous environment with limited supervision. You must be a fast learner who can quickly absorb the nuances of Amazon's supply chain. You need to be analytical in your decision making, with a demonstrated ability to drive issues to completion. You need to be able to convey your ideas via clear and concise verbal and written communications. - Interact with business customers, gather requirements and deliver accurate, easy to use and scalable Business Intelligence solutions in AWS (Redshift, EMR, Glue, S3 etc), Quicksight/Quicksight Q, Python/R, and other Amazon proprietary BI tools - Build ETL, data pipeline jobs, appropriate aggregations, and automated delivery in SQL, Python/R, shell script. - Design data models on varied database platforms like Redshift, MySQL or object based data stores. - Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. - Apply your deep analytic and business intelligence skill to extract meaningful insight and learning from large and complicated data set. Not afraid to deep dive in big data.A day in the lifeWithin this role you will have unique opportunities to work alongside engineers, product managers, data scientists, program managers and finance leaders to help build next gen analytics and data driven reporting supported via one of the largest finance data warehouses and/or datalake. You will be helping scale the supply chain cost allocation/analytics which spans across multiple geographies of North America and Europe. You will work closely with product managers to design and implement new cost allocation strategies, work with engineers across the transportation network to assess impact of new program rollouts & help build operational and anomaly detection reporting solutions. Amazon has a culture of being builders and you will get to use the latest technology stack offered via AWS and internal amazon tools to help scale big and fast. About the teamWW Ops Finance S&A (Standardization and Automation) is the central Data and BI team serving the Amazon supply chain and transportation finance organization. Our BI team owns multiple single source of truth data assets that are keys to initiatives to drive supply chain optimization and improve end-to-end profitability of Amazon store business.BASIC QUALIFICATIONS- 10+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining ...

We are seeking a stellar program manager to join the Kuiper Global Service Compliance team, supporting Amazon’s Project Kuiper. Amazon’s Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world.Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.Key job responsibilitiesWe are looking for a program manager to partner closely with accounting, business, engineering, legal and tax partners to solve problems, drive alignment and assure functional requirements applicable to communication service providers are known and implemented across the globe. As a Program Manager for GSC, you will own key requirements implementation workstreams and deliver results that improve Kuiper’s commercialization processes. You will be the main point of contact for reviewing business requirements, and responding with functional requirements that support GSC's needs. You will intake complex issues, foster shared understanding by asking detailed questions about proposed implementation strategies, and drive clarity for the path forward. You will create the correct sense of urgency to optimize and drive adoption of critical mechanisms necessary to ensure Kuiper meets its obligations. You will maintain an up-to-date and holistic view of Kuiper’s communications service provider requirements and think in terms of immediate problem solving while also focusing on long-term operational excellence.BASIC QUALIFICATIONS- 6+ years of compliance, audit or risk management experience- Knowledge of Microsoft Office products and applications at an advanced level- Bachelor's degree or equivalent ...

Do you want to be part of an organization that is on the leading edge for operations, supply chain, and fulfillment design? The Rapid and Rural Logistics team is looking for a proven technical leader with extensive experience planning and managing the execution of large scale construction programs. As the R2L (Remote to Local) Construction Manager (CM), you will work with broad set of stakeholders including Real Estate, Operations, Design, Launch, Startup, Delivery Experience, Legal and Retail to take the fulfillment center design from concept through the hand off to Operations. This position requires a firm understanding of engineering, planning, program management, contract administration and operations.Travel required 60%This role requires a flexible schedule/shift/work area, including weekends, nights, and/or holidaysThis position based in Washington, but the team is open to hiring candidates in surrounding west coast states. Key job responsibilities • Lead the Request for Proposals (RFP) process and vetting qualified contractor proposals, assemble bid submissions and foster the selection of the design build contractors• Coordinate with the designers, building teams, cost estimators to establish proper project budget, scope and schedule. • Assist in obtaining the information and decisions needed from Amazon which are required to complete the construction drawings.• Manage approvals and permissions needed from the building Landlords• Act as a facilitator of information required for by internal Amazon functional teams (IT, Safety, Loss Prevention, Food Safety, Operations) • Perform duties as the primary Amazon representative on permitting required with authorities having jurisdiction • The CM will monitor and assist with all utility integrations such as phone service, electrical power, water, sewer • Schedule: The CM will be the principle schedule auditor on behalf of Amazon, monitor site production, determine target milestones, track and communicate progress • Develop capital appropriation requests and manage fiduciary responsibility for approved budgets• Perform site visits on a periodic basis to confirm schedule progress, attend contractor meetings and act as the single point of contact for Amazon for the general contractor partners• Review the contractor’s buyout, subcontracting, material purchase schedule and long lead orders. • Coordinate with the Amazon launch/startup teams regarding schedule and phased area turnover to insure coordination with all stakeholder functions• Audit the contractors punch list completion progress and manage on behalf of Amazon• The CM will direct the contractor through the document turnover and close out process • Coordinate with Amazon property management to transition the building facilities to their care• Lead continuous improvement and lessons learned efforts to improve standards, reduce costs and expedite timelines for construction programsBASIC QUALIFICATIONS- Bachelor's degree- 7+ years of project management, real estate development, architecture/design experience ...

Amazon Global Logistics is seeking an exceptional Senior Data Scientist to support pricing science for our imports business. This role will recommend, design, and deliver new pricing science innovations, collaborating closely with our larger science community, technology, data, and product teams.Key job responsibilities- Develop and implement advanced pricing models and algorithms for cross-border logistics operations- Analyze large datasets to identify patterns, trends, and opportunities for optimization- Collaborate with cross-functional teams to translate business requirements into data-driven solutions- Design and execute experiments to evaluate the impact of pricing strategies- Communicate complex analytical findings to stakeholders and leadership- Stay up-to-date with the latest developments in pricing science and logistics domainsA day in the lifeAs a Senior Data Scientist, you will play a pivotal role in driving pricing science innovations for Amazon's imports business. Your day will involve working closely with teams across the organization to understand business challenges, explore data, and develop cutting-edge solutions. You will leverage your expertise in data analysis, machine learning, and pricing strategies to uncover insights and drive impactful decisions. Additionally, you will have opportunities to present your findings, share your knowledge, and contribute to the overall growth of the pricing science community.About the teamAmazon Global Mile Science & Analytics drives multiple core and advanced science initiatives for Fulfillment by Amazon (FBA) and Retail. Our approach and technology are disruptive, challenging traditional approaches and changing the way the industry operates. We are passionate about pricing and cross-border logistics spaces, and we foster an environment of continuous learning and innovation.BASIC QUALIFICATIONS- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of professional or military experience- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 4+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience- Experience with statistical models e.g. multinomial logistic regression ...

The Mission of Amazon's Artificial General Intelligence (AGI) team is to "Build world-class general-purpose intelligence services that benefits every Amazon business and humanity." Are you a data enthusiast? Are you a creative big thinker who is passionate about using data to direct decision making and solve complex and large-scale challenges? If so, then this position is for you! We are looking for a motivated individual with strong analytical and communication skills to join us.In this role, you will apply advanced analytics techniques, AI/ML, and statistical concepts to derive insights from massive datasets. The ideal candidate should have expertise in AI/ML, statistical analysis, and the ability to write code for building models and pipelines to automate data and analytics processing. They will help us design experiments, build models, and develop appropriate metrics to deeply understand the strengths and weaknesses of our systems. They will build dashboards to automate data collection and reporting of relevant data streams, providing leadership and stakeholders with transparency into our system's performance. They will turn their findings into actions by writing detailed reports and providing recommendations on where we should focus our efforts to have the largest customer impact. A successful candidate should be a self-starter, comfortable with ambiguity with strong attention to detail, and have the ability to work in a fast-paced and ever-changing environment. They will also help coach/mentor junior scientists in the team. The ideal candidate should possess excellent verbal and written communication skills, capable of effectively communicating results and insights to both technical and non-technical audiencesBASIC QUALIFICATIONS- 5+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience- Experience with statistical models e.g. multinomial logistic regression- Experience with data visualization using Tableau, Quicksight, or similar tools ...

Come and be a part of Amazon's amazing growth story! If you are looking for an opportunity to solve deep technical problems and build innovative solutions in a fast paced environment working with smart, passionate team members, this might be the role for you! Amazon Supply Chain Optimization Technology (SCOT) powers Amazon’s fulfillment network, determining how much of a given product is needed at locations around the world in order to ensure product availability while maintaining optimal inventory levels at each storage location. This includes strategically placing vendor orders and moving inventory across our network to serve customer demand as quickly as possible at reduced cost. (Learn more about SCOT: http://bit.ly/amazon-scot)The Inventory Placement team is seeking for Sr Data Scientist with strong analytical and communication skills to join our team. As a Senior Data Scientist for Inventory Placement, you will be responsible for driving improvements in how our inventory is distributed, stored, and replenished across our supply chain network. Your expertise in machine learning, statistical modeling, and optimization will enable our system teams to make smarter, data-backed decisions to finally ensure that products are placed in the right locations, at the right time, and in the right quantities. You will work closely with cross-functional teams in supply chain, engineering, and product to create scalable solutions that improve inventory efficiency and reduce operational costs.Key job responsibilities- Analysis of large amounts of data from different parts of the supply chain and their associated business functions using SQL.- Improving upon existing machine learning methodologies by developing new data sources, developing and testing model enhancements, running computational experiments, and fine-tuning model parameters for new models- Measure the impact of new features in our systems to own data driven decisions for future investments.- Formalizing assumptions about how models are expected to behave, creating definitions of outliers, developing methods to systematically identify these outliers, and explaining why they are reasonable or identifying fixes for them- Communicating verbally and in writing to business customers with various levels of technical knowledge, educating them about our research, as well as sharing insights and recommendations- Utilizing code (SQL, Python, R, etc.) for analyzing data and building statistical and machine learning models and algorithmsAbout the teamOur Inventory Placement team owns the systems that decide where in Amazon's fulfillment network to put inventory for the millions of products that Amazon sells. We build optimization models to make these placement decisions driven by signals such as forecasted customer demand, the cost and speed of shipping from each warehouse to each customer, and the available capacity at various points in our network. Inventory placement is central to achieving Amazon's objectives to minimize the cost of fulfillment while offering selection to customers at the fastest possible delivery speeds. Our systems are built entirely in-house, and are on the cutting edge in automated large scale supply chain planning and optimization systems. We're simultaneously developing the science of supply chain planning and solving some of the toughest computational challenges at Amazon.BASIC QUALIFICATIONS- 5+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of professional or military experience- Experience with statistical models e.g. multinomial logistic regression ...

At Amazon, we're working to be the most Customer-centric company on earth. One customer experience that we’re constantly looking to take to a new level is how to coordinate the delivery of their orders. Our goal is to exceed the expectations of all our customers by ensuring that their orders, no matter how large or small, are delivered where and when they need them, as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon is continually striving to innovate and provide best in class service levels through the introduction of pioneering new logistics products and services, significantly complimented by entrepreneurs like Amazon Delivery Service Partners and Amazon Flex. Amazon Flex crowdsources independent contractors – called Delivery Partners (DPs) – to coordinate deliveries to our customers. With Amazon Flex, individuals can now be their own boss delivering Amazon packages. Amazon Flex is powered by a mobile app that works in concert with our advanced systems, allowing partners to sign in, grab an offer for a time, check out a map of the location, and more.The Worldwide Flex DP Experience team is looking for a dynamic and experienced Senior Driver Research Manager. The team relentlessly advocates on behalf of Amazon Flex DPs to continually improve their experience of delivering with Amazon Flex. We listen wherever DPs speak, and leverage data and anecdotes to influence the prioritization, creation, and refinement of products, program, policies and services designed to delight our DPs. This is a research role for a leader who can work independently on global quantitative and qualitative projects with diverse internal stakeholders across the business. The job will span E2E management of both custom projects sponsored by stakeholders to prepare for feature launches and monthly tracking studies that cover broad sentiment trends across the business.Key job responsibilities • Partner with business, marketing and operations stakeholders to define and execute custom research tools that improve the Amazon Flex Delivery Partner Experience. • Plan and conduct a regular cadence of focus groups and surveys at both strategic and highly tactical grains. • End-to-end ownership of key feedback mechanisms and insights; including deep dives with driver populations and other subgroups through the ongoing In-App Question program dataset. • Deliver holistic research studies to VP level audience and multiple product and technology teams, synthesizing inputs from multiple listening channels so that leadership can ingest single source of truth to prioritize resources in right areas. • Own operations for asking daily research questions from millions of drivers worldwide, enabling various quantitative insights for worldwide operations, program and tech teams.BASIC QUALIFICATIONS- 6+ years of professional non-internship marketing experience- Experience using data and metrics to drive improvements- Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables)- Experience building, executing and scaling cross-functional marketing programs- Experience communicating results to senior leadership- Experience using Microsoft Excel to manipulate and analyze data ...

Economists in Delivery Experience (DEX) solve key business problems in operations and help drive innovation in Amazon's retail supply chain. You'll apply frontier economic methods to product design, pricing, personalization, program evaluation, and more. You'll build econometric models using our world-class data systems and apply economic theory to solve business problems in a fast-moving environment. Economists at Amazon develop novel approaches to solve quantitative problems and contribute to the design of automated systems across the company.We're looking for a Senior Economist with a background in causal analysis to lead studies related to innovative delivery programs. Potential projects include understanding how customers value programs that enable coordinated package delivery, scheduled delivery, and sustainability in delivery services.To be successful in this role, you'll need to communicate effectively with product and tech teams, work closely with partners across DEX and Amazon, and translate data-driven findings into actionable insights. You'll thrive if you enjoy tackling ambiguous challenges using the economics toolkit and identifying and solving problems at scale. We have a supportive, fast-paced team culture, and we prioritize learning, growth, and helping each other continuously raise the bar.Key job responsibilitiesLead data-driven econometric studies to create future business opportunitiesConsult with stakeholders in Delivery Experience and other teams to help solve existing business challengesIndependently identify and pursue new opportunities to leverage economic insightsAdvise senior leaders and collaborate with other scientists to drive innovationSupport innovative delivery program growth worldwideWrite business and technical documents communicating business context, methods, and results to business leadership and other scientistsServe as a technical lead and mentor for junior scientists, ensuring a high science barServe as a technical reviewer for our team and related teams, including document and code reviewsBASIC QUALIFICATIONS- PhD in economics or equivalent ...

Economists at Amazon will be expected to work directly with our Chief Economists and senior management on key business problems faced in retail, international retail, cloud computing, third party merchants, search, Kindle, streaming video, and operations. Amazon economists will apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company.Amazon.com strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment.About the teamThe SCOT Lab (Supply Chain Optimization Technology Lab) team is responsible for designing and implementing systems to measure the impact of SCOT initiatives. We're currently seeking an economist to drive innovation within SCOT, which involves developing novel scientific approaches and advancing our system further upstream in the innovation process.BASIC QUALIFICATIONS- PhD in economics or equivalent- Familiar with various experimental designs and their applications ...

Amazon is looking for an outstanding Senior Economist to help build next generation selection/assortment systems. On the Specialized Selection team within the Supply Chain Optimization Technologies (SCOT) organization, we own the selection to determine which products Amazon offers in our fastest delivery programs. We build tools and systems that enable our partners and business owners to scale themselves by leveraging our problem domain expertise, focusing instead on introspecting our outputs and iteratively helping us improve our ML models rather than hand-managing their assortment. We partner closely with our business stakeholders as we work to develop state-of-the-art, scalable, automated selection.Our team is highly cross-functional and employs a wide array of scientific tools and techniques to solve key challenges, including supervised and unsupervised machine learning, non-convex optimization, causal inference, natural language processing, linear programming, reinforcement learning, and other forecast algorithms. Some critical research areas in our space include modeling substitutability between similar products, incorporating basket awareness and complementarity-aware logic, measuring speed sensitivity of products, modeling network capacity constraints, and supply and demand forecasting.We're looking for a candidate with a background in experiment design and causal analysis to lead studies related to selection and speed. Potential projects include understanding the short-term and long-term customer impact of assortment changes across different speed. As an Senior Economist, you'll build econometric models using our world-class data systems and apply economic theory to solve business problems in a fast-moving environment. You will work with software engineers, product managers, and business teams to understand the business problems and requirements, distill that understanding to crisply define the problem, and design and develop innovative solutions to address them. To be successful in this role, you'll need to communicate effectively with product and tech teams, and translate data-driven findings into actionable insights. You'll thrive if you enjoy tackling ambiguous challenges using the economics toolkit and identifying and solving problems at scale. We have a supportive, fast-paced team culture, and we prioritize learning, growth, and helping each other continuously raise the bar.Key job responsibilities- Lead data-driven econometric studies to create future business opportunities- Consult with stakeholders in Selection and other teams to help solve existing business challenges- Independently identify and pursue new opportunities to leverage economic insights- Advise senior leaders and collaborate with other scientists to drive innovation- Support innovative delivery program growth worldwide- Write business and technical documents communicating business context, methods, and results to business leadership and other scientists- Serve as a technical lead and mentor for junior scientists, ensuring a high science bar- Serve as a technical reviewer for our team and related teams, including document and code reviewsBASIC QUALIFICATIONS- PhD in economics or equivalent- Experience in econometrics (e.g., program evaluation, forecasting, time series, panel data, or high dimensional problems), economic theory, and quantitative methods- Experience in building statistical models using R, Python, STATA, or a related software- Experience in industry, consulting, government or academic research- Familiar with various experimental designs and their applications ...

Do you want to be part of an organization well on its way to becoming one of the largest transportation providers on the planet? Do you enjoy breaking down and solving complex problems for the benefit of a quickly expanding customer base at extreme scale, focusing first on customers and working backwards? Amazon Logistics is Amazon's "Last Mile" delivery service, responsible for delivering packages (and smiles) to households/businesses across the planet. Our AMXL Strategic Finance team closely partners across Amazon Retail, Operations and Program teams to support the profitable delivery of Heavy and Bulky product selection from amazon.com to our customers. Come make history with us.Key job responsibilitiesThe AMXL Strategic Finance team seeks a Senior Financial Analyst to partner with the AMXL Retail, Strategy and Operations Teams to drive an agenda of optimization, efficiency and insights across the Heavy Bulky vertical. This role will own Operational cost insights, commercial business case development and reporting for this high-value segment, acting as a leading voice on trend identification and direction setting. This team provides a unique opportunity to gain true end-to-end exposure of a P&L, overseeing the coordination of initiatives that span across multiple organizations and stakeholders with high visibility to senior leadership. Experience in this team opens up several career opportunities across Amazon and access to making an impact to the broader end-to-end operational vertical. A day in the lifeThe successful candidate will demonstrate:- Superior planning and financial modelling skills, with a high comfort level utilizing query-based data via SQL.- An ability to support business owners through thoughtful decision-making;- Excellent verbal and written communication skills with an ability to articulate the story and drivers behind the numbers.- An ability to prioritize the most impactful projects and programs.A typical day in this role provides an opportunity to innovate through creative solutions with large-scale data mining tools, identifying high-priority trends and insights that lead to cost-optimization or growth projects designed to improve cost to serve and broader profitability for AMXL.BASIC QUALIFICATIONS- Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science)- 3+ years of tax, finance or a related analytical field experience ...

Amazon seeks a highly effective Senior Financial Analyst to be a key member of the Artificial General Intelligence (AGI) Finance team. This is an exciting opportunity to join one of the most innovative and fastest growing businesses at Amazon. This role will directly partner with the organization leading the development, implementation and optimization of Generative Artificial Intelligence (GenAI) models. The right individual will play an important role in driving the development of GenAI technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences. A successful candidate will love to learn and be curious and dive deep into data to understand and identify business trends, analyze quantitatively, problem-solve and prioritize. Strong oral and written communication skills are crucial, as well as the ability to work autonomously with a proven work ethic and track record of delivering results.Key job responsibilities• Drive operational and cost efficiency initiatives for the AGI Foundations organization with an emphasis on inference optimization opportunities• Partner with AGI Foundations leadership on the design and implementation of reporting solutions and key metrics to drive insights and enable quicker and more effective decision making • Ownership of proactively identifying metric anomalies and highlighting reporting issues and gaps for leadership and partnering with cross-functional teams to determine and implement solutions• Ad hoc analysis including creating, maintaining and expanding the scope of the business and financial models that highlight opportunities and deliver results • Support monthly close and planning cycles related to AWS inference expenses A day in the lifeThis role will support the AGI Foundations organization under Amazon’s AGI business and will drive financial modeling, reporting and ad-hoc analysis, including creating, maintaining and expanding the scope of models that help drive the business. Given the strategic nature of this business, this is a high visibility role. You will work hand-in-hand with your business partners in the Foundations organization to size opportunities, perform impact analyses, and provides insights and recommendations.BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science) ...

Amazon operates a world-class network of large, technologically advanced fulfillment centers across the world. The Global Realty (GR) Team is responsible for acquisition and management of facilities across the Amazon Fulfillment Network. In support of GR, our team is looking for individuals that enjoy a challenge and have a desire for professional growth opportunities and continuous learning. You will be responsible for investment analysis, creation of financial models, assessing alternative financing options and providing thorough data-driven recommendations. This role will partner closely with a broad range of Finance and business leaders in Operations, Engineering, and Technology. This role will be involved in Site Selection Analysis and Real Estate Capital Appropriation Requests that involve DCF financial modeling and advanced financial skills. The successful candidate will have demonstrated an ability to influence business owners, support thoughtful decision-making, and adapt to a rapidly evolving environment.Key job responsibilities- Develop financial analysis, including Net Present Value (NPV) models, to assess viability of real estate investment projects, network expansion, and strategic acquisitions within the Customer Fulfillment Network.- Partner with Global Realty, Construction, Engineering and Capital Planning teams to obtain model input variables. Identify inconsistent or inaccurate data and escalate discrepancies. - Financially value concepts from incremental design improvements to fully-fledged future generation Fulfillment Centers as part of the change management process by partnering with Building and Engineering Design teams.- Provide narrative for capital approvals with thorough financial analysis of cost savings for construction projections and communicate data (both written and verbal) in a clear, concise, and unambiguous manner. - Improve tools and processes, scale existing solutions, and create new solutions based on stakeholder needs.BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 3+ years of applying key financial performance indicators (KPIs) to analyses experience- 3+ years of creating process improvements with automation and analysis experience- Bachelor's degree in finance, accounting or related field, or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience ...

Amazon's "Last Mile" Delivery Service Partner (DSP) program is responsible for delivering packages (and smiles) to households/businesses across the planet. Our finance team closely partners to support this rapidly expanding business while building a portfolio of delivery stations, vans, and technology to deliver customers' packages on time - often next day, sometimes faster. We augment our traditional "deliver by van" with other models including Amazon Flex (gig economy drivers), Amazon Lockers, and more - all designed to deliver smiles to our customers. You will make history as you help build one of the largest carriers on the planet.Last Mile On-the-Road (OTR) DSP Finance seeks a Senior Financial Analyst to support DSP business. Last Mile offers opportunities to grow your career as you engage on one of the many facets of this world-class delivery service. From here, you will have the opportunity to rotate to other functional areas or roles across Amazon's portfolio of businesses.As a Senior Financial Analyst on the LM OTR Team, you will be pivotal to the team's success as an owner of financial and operational reporting, decision support, financial modeling, controllership, and operations cost reduction implementation. You will collaborate with multiple stakeholders to provide timely analysis, insightful guidance, and financial leadership to our last mile delivery organization as we grow our delivery business rapidly. This role will provide extensive cross-functional partnership opportunities with finance stakeholders as they lead weekly/monthly reporting and controllership activities for LM OTR. A typical day in this role provides an opportunity to innovate by building creative, socially responsible last mile logistics solutions through large-scale data driven decision making. The successful candidate will demonstrate the following abilities: they influence business owners, support thoughtful decision-making, and adapt to a rapidly-evolving environment. They collaborate with senior leaders and various business units across Amazon. You bring excellent verbal and written communication skills. Key job responsibilities- Identifies basic control risks, evaluates impact, proposes changes, and implements improvements to remediate gaps- Delivers weekly/monthly financial close. Uses financial systems and advanced MSExcel functions to work with large data sets. Outputs plans, forecasts, budgets, and consolidations.- Works with a variety of data sources. Identifies incomplete or inaccurate data, identifies root causes of data issues, escalates discrepancies, fixes data where possible or partners to deliver a solution.- Uses active listening skills intuitively to communicate data (both written and verbal) in a clear, concise, and unambiguous manner. Adjusts style for various audiences to articulate complex finance issues clearly.- Identifies and implements solutions to resolve, improve, automate, standardize, or simplify finance processes.- Makes thoughtful time management decisions independently. Prioritizes work, resolves issues, meets deadlines, and seeks feedback from your manager. Discerns between urgent and non-urgent issues and acts accordingly to solve them.- Drives own self-development in the Finance Community: seeks opportunities to expand finance expertise. Participates in events, initiatives, and projects, then shares gained knowledge in and outside of your team.- Contributes to work life harmony by being a positive, collaborative, and effective influencer to new team members as an indicator of operations excellence.BASIC QUALIFICATIONS- Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science)- 3+ years of finance or a related analytical field experience ...

Amazon Logistics (AMZL) is Amazon's "Last Mile" delivery service, responsible for delivering packages to households and businesses across the planet. Our finance team closely partners to support this rapidly expanding business while building an extensive portfolio of delivery stations, vans, and technology to deliver customers' packages on time - often next day, sometimes faster. We augment our traditional "deliver by van" with other models including Amazon Flex (gig economy drivers), Amazon Lockers, and even via Electronic Bikes in urban areas - all designed to deliver smiles to our customers. You will make history as you help build one of the largest carriers on the planet.AMZL Finance seeks a Senior Financial Analyst to support our AMZL Engineering team. AMZL offers opportunities to grow your career as you engage on one of the many facets of this world-class delivery service. From here, you will have the opportunity to rotate to other functional areas or roles across Amazon's portfolio of businesses. As a Senior Financial Analyst on the AMZL Finance team, you will be foundational to the team's success, as primary owner of financial modeling, decision support, productivity metrics, and financial/operational reporting. This role will partner will multiple stakeholders within both finance and the business teams to evaluate and drive investment decisions in new equipment, building & RE designs, and process enhancements. This role will provide extensive cross-functional opportunities to partner with teams including the Process Engineering, Design, Real Estate and Topology teams. The Financial Analyst's role is to help solve tough, unstructured problems as we grow and develop the AMZL network. A typical day in this role provides an opportunity to innovate by building scalable, robust, and dependable solutions through data-driven decision making. Success in this role requires you to partner with and influence business owners, support thoughtful decision-making, and adapt to an ever-changing environment. You will collaborate with all types of stakeholders, from other finance analysts, to program/project managers, to executives, across multiple business units within Amazon. You bring best-in-class business partnership while providing strong controllership. You are comfortable leading variance analysis deep dives, presenting to business owners during reviews, and can pivot between the defined financial rhythms and ad-hoc project analyses. You use judgment to prioritize high-priority work and projects that maximize results for key stakeholders, while helping to solve complex problems that affect company-wide decisions.Key job responsibilities- Partner with Process Engineering & Design teams to develop robust, data-driven modelling and analytics that support new initiatives & investments. - Works with a variety of data sources. Identifies incomplete or inaccurate data, identifies root causes of data issues, escalates discrepancies, fixes data where possible or partners to deliver a solution. - Uses active listening skills intuitively to communicate data (both written and verbal) in a clear, concise, and unambiguous manner. Adjusts style for various audiences to articulate complex finance issues clearly. - Identifies and implements solutions to resolve, improve, automate, standardize, or simplify finance processes. - Makes thoughtful time management decisions independently. Prioritizes work, resolves issues, meets deadlines, and seeks feedback from your manager. Discerns between urgent and non-urgent issues and acts accordingly to solve them. - Drives own self-development in the Finance Community: seeks opportunities to expand finance expertise. Participates in events, initiatives, and projects, then shares gained knowledge in and outside of your team. - Contributes to work life harmony by being a positive, collaborative, and effective influencer to new team members as an indicator of operations excellence.BASIC QUALIFICATIONS- Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science)- 3+ years of tax, finance or a related analytical field experience ...