Business Intelligence

Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the WW Amazon Logistics, Last Mile team is for you. We manage the delivery of tens of millions of products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner to deliver a smile for our customers.Amazon Logistics is looking for a customer focused, analytically and technically skilled Business Intelligence Engineer to drive effective performance measurement and management, innovation and execution in last mile delivery. This position will be responsible for leading a BIE team building out analysis and visualization tools and processes’ to support our growing Amazon Logistics business.The successful candidate will be able to effectively retrieve, integrate, visualize and present critical data to improve the efficiency of the package delivery network, and enable efficient management of a large global logistics system. This individual will work with technical and business teams to optimize planning, execution, process improvement and track progress against goals. This role requires an individual with excellent analytical abilities, business acumen and comfort with technical teams and systems. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and enjoy working with large scale of data. Key job responsibilities- Partner with internal stakeholders across multiple teams, gathering requirements and delivering end to end solutions- Partner with Data Engineering and Software Development Engineers to prioritize and define AMZL data and BI development needs- Work with in-house scientists, global supply chain, transportation and logistics teams to identify new BI capabilities and projects- Lead and develop a team of Business Intelligence Engineers and Business Analysts- Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation (role varies by opportunity)- Analyze and visualize large scale geo-spatial logistics and transaction data to articulate user behavior or delivery process problems, and output solid analysis report with recommendation- Serve as liaison between the WW Planning and Analytics team and the operations business teams to achieve the goal of providing actionable insights into current delivery performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations- Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reportingAbout the teamThe AMZL ORBIT (Operations Reporting, Business Intelligence, and Technology) team works as an integral part of AMZL worldwide to ensure that its business intelligence and analytics needs are met. By providing information, insight, and decision support, we strive to enable success of all parts of AMZL. Our stakeholder set includes senior management, station operations, DSP management, Flex management, long-term planning, Ops technology (Voice of the Delivery Station, Voice of the Customer), network planning, and pretty much every BI and Ops teams in AMZL. The BI team maintains and improves metric reporting and AMZL's content in PerfectMile. This team also support publication of WBR decks across NA, EU and JP. We also support a limited set of reports in Tableau and QuickSight dedicated for analytical purposes.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 Business Customer Support (ABCS) is looking for a Business Intelligence Engineer (BIE) to help build next generation metrics and drive business analytics that have a measurable impact. This role is inherently cross-functional. You will work closely with finance and engineering teams, as well as with leadership across ABCS, Amazon Customer Service, and Amazon Business (AB).As a BIE, you will develop strategic reports, design User Interface (UI), and drive projects that support the ABCS team and influence the decision making of the Worldwide Operations team. You will continuously learn new systems, tools, and industry best practices to help design new studies and build new tools that help our team automate and accelerate analytics. You will work with a team of analytics professionals who are passionate about using machine learning to build automated systems and solve problems that matter to our customers. Your work will directly impact our customers and operations.A successful candidate will have a strong understanding of different businesses and customer profiles, as well as the underlying analytics. Candidates for this role should have the ability to translate business requirements into analysis, collect and analyze data, and make recommendations back to the business. Members of this team are challenged to innovate and use the latest big data techniques. We are looking for people who are motivated by thinking big, moving fast, and exploring business insights. If you love to implement solutions to complex problems, this may be the opportunity for you!Key job responsibilities- Scope, design, and build database structure and schema to enable ABCS team members to self-serve.- Create data pipelines using extract, transform, and load (ETL) connections/SQL queries to bring new attributes into the ABCS master database.- Retrieve and analyze data using a broad set of Amazon’s data technologies and resources.- Pull data on an ad-hoc basis using SQL queries.- Design, build, and maintain automated reporting, dashboards, and analyses to enable our team to focus on solving ambiguous problems.- Conduct deep dives to identify root causes of pain points and opportunities for improvement.- Work closely with Certified Specialist Business Intelligence (CSBI) teams to ensure ABCS uses globally standard metrics and definitions.- Collaborate with finance and business partners to gather data and metrics requirements. A 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) PlanIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skill sets. If you’re passionate about this role and want to make an impact on a global scale, please apply!About the teamABCS Analytics supports all the teams within ABCS, partner teams within AB and CS, and other support teams for any analytical and data requirements. We are responsible for maintaining the ABCS databases, data pipelines from AB data sources to the ABCS datasets. We create and maintain ABCS Reporting Suite and ensure that all the ABCS team members are enabled with the right data and can self-serve to drive data driven decisions. BASIC QUALIFICATIONS- 5+ years of SQL experience- 7+ years of professional or military 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 ...

Blink is the result of one of the most successful Kickstarter campaigns ever, growing the business at an astounding rate since the first product introduction in 2016. Now at the forefront of the consumer electronics home security market and part of Amazon Devices, we are seeking a talented, customer-obsessed team members to join the Product Management and help bring our future product visions to life.Key job responsibilitiesThis role focuses on our device roadmap, specifically our battery operated cameras and doorbells and works directly with our hardware and app team.- Collect and analyze consumer and product research to drive product decisions- Establish and test against product requirements and KPIs for the product(s) or feature(s) to ensure the best customer experience- Collaborate with go-to-market, sales, and marketing teams to ensure consistent product messaging at and post launch- Monitor and track the competitive landscape for the product or feature category- Monitor the impact of feature launches across our products using CSAT indicators like Amazon.com ratings, iOS/Google ratings, and qualitative studies.A day in the life- Analyze the impact of feature launches across our product portfolio- Build automated dashboards to visualize KPIs over time- Work directly with the Business/Sales teams to create innovative ways to forecast and predict customer behaviorAbout the teamThe Blink product management team is small but mighty (and growing!). We are responsible for all areas of the roadmap, spanning devices, subscriptions, UX, and more. We work closely with all cross-functional teams including engineering, program management, sales, marketing, and UX to name a few. We strike a balance between start-up nimbleness and bias for action, and scaled data-driven decision making and customer obsession. We are a passionate group, collaborative in nature and firm believers in hard work and teamwork.BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- Bachelor's degree or equivalent- Experience with SQL- Experience defining requirements and using data and metrics to draw business insights ...

We are open to hiring candidates to work out of one of the following locations:Herndon, VA, USAAmazon is seeking a highly motivated Intelligence Analyst to join our world-class Amazon Security organization and work within the Response function of the Enterprise Protection Program to help Amazon prevent and mitigate insider risk.As part of the Response team, you will be involved with evaluating, investigating, and mitigating active insider risks daily. We are looking for someone who is a fan of "diving deep"; constantly learning; eager to drive the development and refinement of proactive initiatives to identify, evaluate, and mitigate risks to Amazon; adept at managing complex investigations; seeks to maintain an understanding of the security needs of our customers and business, and is willing to take on new challenges.You will consult with business, legal, and tech teams to develop gap remediation strategies and be proactive in the build-out of sustainable and systematic solutions. You will also be effective both working independently and cooperatively across partner teams when required, and able to contribute and deliver results whether involved at the level of strategic planning or tactical execution.This position involves on-call responsibilities, typically for one week every few months.Key job responsibilities• Manage complex and confidential investigations, providing timely and fact-based reporting to partners and leadership• Effectively partner with teams across Information Security, Legal, Human Resources, and others necessary in support of investigations• Establish, document, and refine standard operating procedures and internal best practices for investigative functions• Collaborate with Engineering teams to build and develop solutions and tools that identify and mitigate risk by translating use cases into technical requirements• Perform deep dive analysis of internal and external datasets to identify trends, anomalies, and activities indicative of threat• Collaborate with partner teams in the threat intelligence community, internal and external to Amazon• Identify and produce metrics to measure effectiveness of analytic capabilities and data to drive business decisionsAbout the teamDiverse ExperiencesAmazon 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.Why Amazon Security?At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Inclusive Team CultureIn Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training & Career GrowthWe’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 BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.BASIC QUALIFICATIONS• 5+ years of demonstrated experience as an analyst/investigator supporting counterintelligence, counterterrorism, insider threat, internal investigations, and/or law enforcement investigations • 2+ years’ experience in conducting open-source analysis • Bachelor’s Degree in related field or 4 years of equivalent work experience ...

Seller Partner Services (SPS) is responsible for creating a trustworthy shopping experience across Amazon stores worldwide by protecting customers, brands, selling partners and Amazon from fraud, counterfeit, and abuse as well as empowering, providing world‐class support, and building loyalty with Amazon’s millions of selling partners. We value individual expression, respect different opinions, and work together to create a culture where each of us is able to contribute fully. Our unique backgrounds and perspectives strengthen our ability to achieve Amazon's mission of being Earth's most customer-centric company.The Localization & Language Expansion Team (LELI) develops high-quality, user-centered content for the companies and individuals who sell goods and services through Amazon, and for the team that helps sellers when they contact Seller Support.The team's goal is to deliver/localize content that provides Selling Partners and Customers a direct path between an issue and it’s resolution, by providing timely and helpful documentation in 27 languages across 19 stores.The team is looking for a talented, driven, self-directed Business Analyst to join an organization that is responsible for the success of implementation of content management programs. This person will be responsible for ensuring we meet our key deliverables, on time with high quality, and communicating status to internal and external stakeholders. This person will also help provide the analytics and insights to improve the process for building our tools on a global scale. This Business Analyst must have advanced proficiency in SQL, statistical analysis and Excel (including Pivot Tables, dynamic dashboards, array functions, Power Pivots, VBA, etc.) and can build instrumented dashboards for impact analysis and reporting.Also has program management skills to work closely with the Product Managers, process engineering, Operations and Customer Excellence teams on process improvement initiatives, root cause analysis and A/B testing. Successful candidates will have a strong analytical skills, program management background, be detail oriented, and have excellent problem solving abilities. The candidate should also have strong communication and project management skills, enabling them to work with key business stakeholders to understand requirements and shape analytical deliverables. He/she should also have a demonstrated ability to think strategically and analytically about business, product, and technical challenges, with the ability to work cross-organizationally.Key job responsibilitiesThis role is requiring an individual who thinks big and will build reporting capability for Localization and Language Expansion analytics. The ideal candidate for this role will should be:Able to proactively identify problems with significant business impact; facilitate analysis to identify problems and opportunities.Work with team leadership to understand the customer needs and concerns as well as define solutions.Translate basic business problem statements into analysis requirements. Work with internal customers to define best output based on expressed stakeholder needs.Use analytical and statistical rigor to solve complex problems and drive business decisions.Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.Write queries and output efficiently, and have in-depth knowledge of the data available in area of expertise. Pull the data needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert data to make it analysis-ready.Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.Monitor and troubleshoot operational or data issues in the data pipelines.Review and audit existing ETL jobs and SQL queries.BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience with Excel ...

Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity.We are looking for Senior Business Intelligence Engineer to work in a start-up environment who is passionate about technology, who thinks/acts globally, and has the ability to create and implement solutions to business questions. The Senior Business Intelligence Engineer 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 team to do the same.Key job responsibilities- Apply advanced analytical techniques, such as statistical modeling and data mining, to derive actionable insights from complex, ambiguous data sets. - Perform deep-dives and data analysis across multiple regions and/or globally to identify best practices and areas of opportunity. Provide recommendations based on analysis and insights. - Conduct in-depth analyses of sales performance, churn, usage behavior across multiple regions and/or globally to identify and surface impactful recommendations.- Develop and lead design and execution of global reporting solutions for business-to-consumer team.- Build self-service tools and dashboard that not only gives aggregated metrics but also provide ways to pull customer level performance insights. - Work closely with Product teams, Data Scientists, Software developers, and Data Engineers to integrate upstream data sources and automated reporting outputs to downstream systems.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.BASIC QUALIFICATIONS- 5+ 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 ...

Have you ever ordered a product on Amazon and when that box with the smile arrived, wondered how it got to you so fast? Wondered where it came from and how much it cost Amazon? If so, the Amazon Global Supply Chain Optimization Technologies organization is for you. Watch this video to learn more about our organization, SCOT: http://bit.ly/amazon-scotThe Amazon SCOT organization is expanding our Direct Fulfillment (dropship) business and we are looking for a Senior Business Intelligence Engineer to join the team. Direct Fulfillment helps provide Amazon customers the broadest in-stock selection, at the quality and speed of delivery they have come to expect from Amazon at the best possible cost structure for Amazon. Direct Fulfillment allows Amazon to fulfill customer orders directly from our vendor’s warehouse and is one of the fastest growing supply channels at Amazon. The ideal candidate relishes working with extremely large volumes of data, enjoys the challenge of highly complex technical contexts, and above all, is passionate about data and analytics to impact business decisions. They should have strong analytical skills, independently blend data from multiple sources, drive consensus and connect business to data. They must also be passionate about partnering with the data scientists, business analysts and other business stakeholders & dive deep to identify root causes and provide actionable insights.They should be comfortable with technologies like EMR, Redshift and have ability to author complex dashboards that enable business to cut through noise. They should be a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), excellent communication skills and enjoys working in a fast-paced and global team.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / AgeKey job responsibilities- Deep dive into operations execution and business problems, use analytical and statistical rigor to identify trends and opportunities to driv data-driven decisions- Improve business results through creating best-in-class metrics, analysis, visualizations, and data-driven storytelling- Adopt best practices in reporting and analysis: data needs, data integrity, test design, analysis, validation, and documentationBASIC QUALIFICATIONS- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience ...

The Strategic Account Services (SAS) organization strives to improve the Amazon customer experience by working directly with selling partners to enable more selection, reduce defects, and drive growth across their businesses. Our team invents and innovates across technology, processes and people to enhance the services we offer, improve selling partner engagement and satisfaction, and build scalable solutions. We are seeking an experienced, motivated, and self-directed Senior Business Intelligence Engineer to join our team. You must thrive on solving complex problems and providing insights to help us improve the business and seller experience. You will lead development of automated forecasting models to generate insights that will guide operational excellence and product development for our customers. Data analysis is at the core Amazon’s culture, and your work will have a direct impact on decision making and strategy for our team. You will be gathering customer insights, mining data, making recommendations, and helping senior leaders make key business decisions. You will have the opportunity to work with a large and complex data warehouse to gather insights using data from across Amazon. These efforts will improve the ways in which we service our sellers and improve the business performance for SAS.We are looking for someone with a broad technical background in reporting automation, forecasting, and experiment design, with a strong business acumen, who takes ownership of their work, and is focused on customer needs. The successful candidate will communicate crisply in non-technical terms to senior management. They will have an ability to make data-driven conclusions and will be comfortable with ambiguity while working in a fast-paced dynamic environment. The candidate will also need to be a collaborator who can work with internal and external teams to define and implement solutions that will yield benefits to Amazon customers around the world.Key job responsibilities- Build and maintain central team data pipelines, and automated forecasting models- Employ data mining, forecasting, A/B testing, model building, segmentation, and other analytical and statistical techniques to capture and forecast important trends in the customer base- Participate in strategic and tactical planning discussions- Build a data structure and reporting process by working through various business parameters, which establish truth in data- Understand the business challenges and identify data-driven business insights with effective presentation of findings at multiple levels of stakeholders- Design and conduct experiments on the effectiveness and efficiency of different initiatives to improve key output metrics and help shape the long-term strategy- Update existing and create new metrics and reporting that help drive business conclusions, continually improving reporting and analysis processes- Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to help determine key business conclusions- Recognize and adopt best practices in reporting, analysis, and research (data integrity, test design, analysis, validation, and documentation)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 ...

CMS Data Platform team’s mission is to empower Case Management tenants to make data driven decisions and derive insights.As a Business Analyst, you will help develop an analytic platform to drive deep dives, provide insights into the health and state of the CMS insights and experience. Build mind share “CMS Insights Suite” of pre-built dashboards that support tenants covering both retrospective and reactive reporting use cases including command center view. The suite will contain data dictionary of available metrics, dashboards and data catalog around routing, case/issue handling and workforce management themes. Launch the capability to tenants providing initial metrics coverage of 80% and ability to customize around routing and case handling sections.The Business Analyst will collaborate with Paragon Product team to build a metrics to measure Paragon experience. You will own the design, creation, and management of metrics, associated dashboards and datasets. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and performant data solutions using statistical techniques or regression models to generate insights from the structured/unstructured datasets.A successful candidate will be highly analytical, an expert with SQL and excel, seek opportunities to inject advanced analytical techniques, resourceful, customer focused, team oriented, and have an ability to work independently under time constraints to meet deadlines.Key job responsibilities• Leading complex data analysis projects to identify opportunities for improvement and optimization• Gathering and interpreting data from various sources to inform decision making• Developing and implementing solutions to optimize business performance• Creating data visualizations to communicate findings and monitor performance• Communicating findings and recommendations to senior management through presentations and reports• Mentoring and guiding junior team members in data analysis and process improvement methodologies• Assisting in the development and execution of strategic initiatives, metrics and contribution in analytical roadmaps.BASIC QUALIFICATIONS- 4+ years of business analyst, data analyst or similar role experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience with data visualization using Tableau, Quicksight, or similar tools- Strong analytical skills, with the ability to gather, interpret, and make insights from large amounts of data- Expert in SQL and data analysis- Experience with data visualization tools such as QuickSight or Tableau- Experience with statistical techniques, prepost analysis- Excellent communication and presentation skills, with the ability to convey complex information to a non-technical audience ...

Are you seeking an environment where you can learn new skills, work with scientists and help influence the future of finance? Our team combines machine learning, forecasting, economics and Large Language Models to help solve problems within finance and help provide automation where problems become ambiguous. We spend our days diving into data and working with external parters to automate process to help our financial partners better perform their roles. Here in WW Stores Strategic Finance, our business intelligence engineers help perform statistical analysis, build data pipelines, provide support to scientists and engineers and design dashboards that are viewed by VP leadership within finance. This role has high visibility within the team and can provide many different challenges to solve, which helps team members grow their own scope and their skillsets. Our team focused on supporting three pillars of anomaly detection, forecasting and document understanding to support the different areas of finance such as financial planning, month end close, and controllership.Key job responsibilities* Defining architecture, design and implementation of next generation BI products/solutions and data-intensive technology solutions* Collaborating with data scientists/ engineers, others BIEs and business stakeholders to surface high quality business insights and analytics* Collaborating with our dedicated product, data engineering, and software development teams to create production implementations for large-scale data analysis.* Developing an understanding of key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our business.* Performing data and statistical analysis on oddities in data to help provide high data quality within our modeling ecosystems BASIC QUALIFICATIONS- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- 5+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets. ...

Selling Partner Support (SPS) is responsible for creating a trustworthy shopping experience across Amazon stores worldwide by protecting customers, brands, selling partners and Amazon from fraud, counterfeit, and abuse as well as empowering, providing world‐class support, and building loyalty with Amazon’s millions of selling partners. We value individual expression, respect different opinions, and work together to create a culture where each of us is able to contribute fully. Our unique backgrounds and perspectives strengthen our ability to achieve Amazon's mission of being Earth's most customer-centric company. Amazon’s Perfect Order Experience team, under CTPS, works to ensure that Customers can buy with confidence on Amazon. We develop and implement technology innovations, programs, tools, and policies to protect the buying experience on Amazon while minimizing friction for our selling partners. Our team is constantly innovating on behalf of customers to solve business problems. We are looking for a Business Analyst to help us drive improvements in our A-to-z Guarantee space.A-to-z Guarantee is Amazon’s primary mechanism for protecting customers when they encounter a negative order experience with a third-party seller. We focus on helping Customers easily report a problem when something goes wrong, Sellers to effectively resolve these problems for our customers, and Amazon systems & associates to efficiently adjudicate decisions where we need to step in! Because of the customer experience & financial impact of this product, as well as the opportunities to test integration points upstream, parallel, and downstream – this is an exciting opportunity for a Business Analyst to enter the team, take ownership of the problem space, simplify & reinvent, and help drive exciting results for the program! Key job responsibilitiesAside from heavy involvement in several high-impact initiatives the team is driving towards, key day-to-day responsibilities for this role will include:Detection of Issues & Impact Assessments eg. An issue with the A-Z operational SLA – how large is the problem and what are the upstream and downstream impactsRoot Cause Analyses & Solution Scoping eg. Identify that the miss comes from a forecasting issue and a spike in appeal rates. Propose modified drivers for claims volume forecasts and deep dive improved communication messages to our Selling Partners so they are more aware of our policies. Assess expected impact of these actionsMonitoring & Mechanisms eg. Generate self-serve reporting to ensure the actual impact from the actions are aligned with what was expected (iterating if needed). Integrate these metrics into the right recurring mechanisms to ensure a) future issues can be detected faster or prevented altogether, and b) the right feedback loops exist to continually improve our productsAbout the teamGuaranteed Remediation Experience (GRX) provides Amazon’s primary mechanism for protecting customers when they encounter a negative order experience. We focus on helping Customers easily report a problem when something goes wrong, Sellers to effectively resolve these problems for our customers, and Amazon systems & associates to efficiently adjudicate decisions where we need to step in! Because of the customer experience & financial impact of this product, as well as the opportunities to test integration points upstream, parallel, and downstream – this is an exciting opportunity to enter the team, think big, simplify & reinvent, and help set the future vision for the program!BASIC QUALIFICATIONS- 1+ years of tax, finance or a related analytical field experience- 2+ years of complex Excel VBA macros writing experience- Experience defining requirements and using data and metrics to draw business insights- Experience with SQL or ETL ...

Does the opportunity to have direct, high leverage impact for customers at Amazon’s worldwide scale motivate you? Amazon provides gift cards, incentives, and stored value experiences at a global scale, across a portfolio of products and experiences that address the needs of hundreds of millions of customers, both consumers and B2B. Our organization owns everything from the long term product vision and strategy, the day-to-day customer experience, the marketing strategy and budgets, to the P&L. Data driven decisions are critical to our ability to innovate at scale and with speed. Our team is seeking a curious and analytical problem solver to deliver actionable, strategic insights across the wide range of problem statements that our global organization faces. The range of problems to tackle span product, marketing, fraud, pricing, supply chain, logistics, operations, to customer service. This analytics leader will work directly with senior leadership across product, business, and operations, partnering with a team of analysts, business intelligence engineers, data scientists, and data engineers to deliver actionable insights with immediate impact to customers and the P&L. This role requires the day-to-day, consistent application of these abilities:* The ability to work backwards from customers - e.g. able to see and explain how customer behaviors show up (or don’t) in the data available.* Proficiency with the multiple business models managed by our global businesses and their respective P&Ls.* The ability to define the right analytical questions that will efficiently enable the key decisions needed, quickly driving clarity and structure to ambiguous problem statements.* Comfort in exercising strong judgement on where simplification is needed versus when nuance is required.* Equally comfortable where data is available (e.g. developing detailed and granular customer behavior metrics and dashboards) as well as where the metrics are not yet defined, the data is not available, or cannot be directly measured. * Effective verbal and written communications to a wide range of audiences and partners. Adept at i) translating high level customer and business problems in to analytics approach and data requirements for execution and ii) translating complex analyses into effective communications to inform and influence senior Amazon leadership.* Able to raise and maintain a high bar on analytics accuracy through efficient and scalable mechanisms.* Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format. * Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support our business needs.BASIC QUALIFICATIONS- 7+ years of business or financial analysis, product costing, procurement, or a quantitative role experience- Experience making business recommendations and influencing stakeholders- Experience defining requirements and using data and metrics to draw business insights- Bachelor's degree- Experience with SQL- 5+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience- 2+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience ...

Come build a brand-new data architecture environment from scratch in the Merchant Fulfilled Network (MFN) team within the Customer Service (CS) organization to support robust reports, machine learning (ML) models, and complex data analysis.We are looking for an experienced Data Engineer who thrives in an ambiguous environment and is able to create foundational solutions that will sustain the scale of a rapidly growing team. The ideal candidate should be highly analytical, thorough, and an organized self-starter.As a Data Engineer on the team, this candidate will be creating a data warehouse architecture from the ground up and help it mature to support high-volume data related to Buyers, Sellers, Concessions Attribution, as well as Buyer/Seller Abuse and Seller Experience.Candidate should excel at designing, creating, managing, and customizing large datasets to meet business use cases. This candidate should have excellent business and technical communication skills to be able to work with business owners to develop and define key business questions, and to build data pipelines, integration engineering, Machine Learning workflows, and automation solutions that answer those questions.This role requires an individual with excellent problem-solving skills, expertise in working with streaming data, deep knowledge of data pipeline engineering using AWS data technologies, a strong understanding of business intelligence solutions, and familiarity with how machine learning models work.Candidate will primarily be responsible for setting up a robust data warehouse platform, designing and implementing complex ETL pipelines in the data warehouse platform and other business intelligence (BI) solutions to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as a service, which will have an immediate influence on day-to-day decision-making at Amazon. This candidate will also be responsible for designing andimplementing deployment dependencies for ML models, including feature engineering, model hosting, and integration mechanisms.Key job responsibilities- Build the infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, data storage principles, and recent advances in distributed systems- Partner with Research Scientists and Software Development Engineers to evolve, optimize and integrate ML models into the broader Customer Service platform to drive and innovate contact experience for customers- Help drive the architecture and technology choices that enable a world-class user experience- Manage AWS resources- Uphold Operational Excellence best practices in Data Engineering and actively contribute to evolve set standards.- Collaborate with Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation- Develop expertise in a broad range of Amazon’s data resources and know when, how, and which to use and which not to use- Encourage the organization to adopt next-generation data architecture strategies, proposing both data flows and storage solutions- Present your findings to large groups of technical and non-technical (business side) audience.A day in the lifeEmbark on an exciting journey to build a data infrastructure from the ground up, empowering the MFN and Buyer/Seller Abuse prevention teams to reach new heights!As a Data Engineer, you will have the unique opportunity to architect a robust, scalable data ecosystem using the latest AWS technologies. Leverage agile methodologies to create sustainable, innovative solutions that will drive business growth and deliver real-time insights to decision-makers.If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!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:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanAbout the teamThe Analytics team is a dynamic, cross-functional group working within a rapidly growing organization. While relatively new, we are highly skilled and passionate about driving data-powered innovation.If you thrive in a fast-paced, collaborative environment and are eager to contribute to the development of transformative data capabilities, we encourage you to apply. Together, let's elevate our data maturity and deliver meaningful business outcomes.BASIC QUALIFICATIONS- Bachelor's degree- 5+ years of data engineering experience- Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets- Experience with data modeling, warehousing and building ETL pipelines ...

Are you someone who likes to use big data to drive business decisions? Do you enjoy building data applications used worldwide by business leaders? Do you want to be part of the data team which measures the pulse of innovative shopping experiences? If your answer is yes, join our team. We are the Visual Search team. We work with retail category leaders, product managers, engineering leaders to ensure that we build shopping experiences using the camera that customers love and find useful.Key job responsibilitiesAs part of the Analytics team, we build scalable data solutions to enable insight generation in addition to providing analytical support for flagship initiatives for our various products such as Visual Search, Shop The Look and More Like This. Example data solutions include 1) building a tool which allows business leaders to A/B test product launches and 2) building tools and dashboards to enable business and product leaders to derive product level and business insights as well as 3) operating, improving and maintaining data pipelines for a reliable flow of data that will allow BI engineers to perform data analytics operations.A day in the lifeAs a BI Engineer in this team, you will co-own shaping the direction of Visual Search. You will work closely with business leaders to build the analytical roadmap. You will be comfortable making tough tradeoff decisions, helping define team vision and solutions. As a successful candidate, you will be able to interact with both technical stakeholders, setting tech requirements for engineering team, as well as business stakeholder to collaborate on business requirements and project outcomes.About the teamYou will be part of the Visual Search team. Our team comprises of designers, product managers, engineers, scientists and operators who obsess over customer problems and find inventive ways to solve them. Millions of Amazon shoppers use our Visual Search, StyleSnap and Augmented Reality products daily. Despite the millions of daily customers and the scale, we believe that it is Day One for Visual Search and Augmented Reality aided shopping experiences and you will be working on building the future with us.BASIC QUALIFICATIONS- 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 ...

We are looking for motivated BIE to join the Amazon Global Cross Border Selection Team. This is an exciting opportunity to develop analytical insights and work directly with business and product leaders for a new business program.Amazon Global is pioneering cross-border e-commerce by becoming a one-stop shop for Amazon customers worldwide, providing a seamless experience to shop international selection. Selection is a key input driver for this business and we are looking for a dynamic, organized and self-starting BIE candidate to take on a critical role in developing cross border selection reporting and analytics for one of Amazon’s fastest growing businesses.Our team is comprised of product, program, and tech managers who own the end-to-end strategy and execution of growing selection offerings for worldwide customers. The optimal candidate will own the reporting and analytics for managing local compliance requirements worldwide. As a Business Intelligence Engineer, you will work with our Business and Product Teams to create automated and scalable analytical tools critical for driving growth and expansion of the business. This includes building the infrastructure for regular reporting on business and production selection data and diving deep to uncover insights that will impact selection expansion decisions. You will leverage data to provide key data-driven insights, enable new analyses, and innovate on behalf of our business customers.Key job responsibilities· Own, design, develop, document, and manage scalable solutions for new and ongoing metrics, reports, analyses, and dashboards to support business needs. · Generate actionable insights through the development of metrics, dashboards and deep dive analyses. · Serve as a technical, business-metrics specialist and insight provider in the organization. · Act as a key interface between our business customers and technical divisions. · Leverage extensive data sets to derive strategic insights that shape business decisions on content spend. · Present insights to senior stakeholders in Product and Business Teams. · Work in a fast paced, global environment, across various functional teams.BASIC QUALIFICATIONS- 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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Do you love using data to solve complex supply chain problems? Are you interested in innovating and developing world-class business intelligence solutions? We have the career for you!Amazon's Sales & Operations Planning (S&OP) team is seeking a Business Intelligence Engineer (BIE) to join our Analytics team. We deliver business intelligence/data science solutions to a diverse community of internal customers dedicated to supply chain optimization and forecast accuracy. Amazon has culture of data-driven decision-making, and demands business intelligence that is timely, accurate, and actionable.As a BIE, you must possess the ability to dive deep into large amounts of data, have a great business sense, curiosity, a proven ability to deal with complexity, and the desire to influence key strategic decisions with data-driven analysis and insights. This position requires excellent statistical and analytical abilities, deep knowledge of business intelligence solutions and data engineering practices, and the ability to partner with various teams across Amazon. The successful candidate will be a self-starter comfortable with ambiguity, capable of working in a fast-paced environment, possess a strong attention to detail, and able to collaborate with internal customers to understand and transform business problems into requirements and deliverables.Key job responsibilitiesAs a BIE on our team you will focus on exciting and challenging problems, including:- Identifying, developing and executing analyses to uncover areas of opportunity and present business recommendations to reduce fulfillment cost, optimize resources and protect customer experience.- Develop new forecasting models or improve existing approaches using scalable techniques.- Reporting key insight trends, using statistical rigor to simplify and inform business teams of noteworthy story lines that impact the business.- Working with other technology teams to extract, transform, and load data from a variety of data sources using SQL, scripting language and AWS technologies.- Continuously learning, evaluating and implementing various big-data technologies and solutions to optimize processing of extremely large data sets in an accurate and timely fashion.- Recognizing and adopting best practices in reporting, analysis, data integrity, test design, validation, and documentation.- Building automated data solutions and dashboards to enable your team to self-service data needs, allowing you to focus on answering hard and ambiguous problems.About the teamThe broad mission of the S&OP team is to align and optimize the Fulfillment Center (FC) network plan for labor and capacity constraints, ideal placement and purchasing volumes. We partner with internal stakeholders to continuously improve plan accuracy, visibility and tools to automate the planning process. Every week we provide an accurate short to medium term aggregate fulfillment plan for the US and CA fulfillment network in order to make local planning decisions at the FCs.BASIC QUALIFICATIONS- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- 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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- 3+ years of machine learning, statistical modeling and time series modeling ...

At AWS Support, our ability to quickly connect customers with the right information is critical to their success. As our Semantic Data Specialist, you'll be the architect of our knowledge structure, primarily focusing on designing and maintaining the ontology that powers AWS re:Post. Your expertise in semantic technologies and ontology development will directly impact millions of AWS customers, enabling them to find solutions faster and more intuitively. Without your skills in organizing and structuring our knowledge base, it could become a labyrinth, hindering rather than helping our customers. You'll be the bridge between raw information and accessible knowledge, ensuring that every piece of content is discoverable and contextually relevant. Your role is crucial in transforming our support content from a collection of articles and questions and answers into an interconnected web of knowledge that anticipates and meets our customers' needs.Key job responsibilitiesYou'll lead the development and maintenance of our knowledge ontology, working closely with content creators, data scientists, and engineering teams. Your role will involve not just structuring information, but also shaping how our customers interact with AWS knowledge.- Design, develop, and evolve the ontology that underpins AWS re:Post and internal knowledge management systems, ensuring it accurately represents the complex world of AWS services and customer needs- Implement semantic technologies to enhance content discoverability and enable more intuitive navigation- Collaborate with content teams to apply consistent metadata and taxonomies across support knowledge content- Analyze user behavior and search patterns to continually refine and optimize the ontology- Work with engineering teams to implement ontology-driven features that improve the customer experienceA day in the lifeYour day might start by reviewing feedback from customers and support teams, identifying areas where the current ontology could better help users find the right self-service content. You could analyze a request to update the ontology to accommodate a new AWS offering, ensuring it fits into the existing structure while improving content discoverability. Later, you could be working with data scientists to refine machine learning models that suggest relevant content based on user queries. Throughout the day, you'll be the go-to expert for questions about knowledge structure and metadata. You'll make decisions on how to evolve the ontology to keep pace with AWS's innovation, with the goal of helping customers find the self-service content they need to resolve their issues efficiently.About the teamAWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.BASIC QUALIFICATIONS- You have a degree in Library Science, Information Systems, Linguistics, or equivalent professional experience- 3+ years of relevant work experience- You're proficient in ontology engineering tools and familiar with Semantic Web technologies- Your analytical skills are strong, allowing you to derive insights from user behavior data- You have excellent communication skills, able to explain complex concepts to both technical and non-technical audiences ...

The Selling Partner Experience (SPX) organization strives to make Amazon the best place for Selling Partners to do business. The SPX Science team is building an AI-powered conversational assistant to transform the Selling Partner experience. The Selling Assistant is a trusted partner and a seasoned advisor that’s always available to enable our partners to thrive in Amazon’s stores. It takes away the cognitive load of selling on Amazon by providing a single interface to handle a diverse set of selling needs. The assistant always stays by the seller's side, talks to them in their language, enables them to capitalize on opportunities, and helps them accomplish their business goals with ease. It is powered by the cutting edge of Generative AI, going beyond a typical chatbot to provide a dynamic, personalized experience to sellers running real businesses, large and small.Do you want to join an innovative team of scientists, engineers, product and program managers who use state-of-the-art Generative AI and Machine Learning technologies to help Amazon create a delightful Selling Partner experience? Do you want to build solutions to real business problems by automatically understanding and addressing sellers’ challenges, needs and opportunities? Are you excited by the prospect of contributing to one of Amazon’s most strategic Generative AI initiatives? If yes, then you may be a great fit to join the Selling Partner Experience Science team (SPeXSci).Key job responsibilities* Produce written recommendations and insights for key stakeholders that will help shape effective strategies.* Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions* Simplify and automate reporting, audits, and other data activities; build solutions to have maximum scale and self-service ability by stakeholders.* Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.* Solve complex and broad business problems with analytically derived solutions, applying appropriate analytical best practices.* Develop programs, methodologies, and reports for analyzing and presenting data.* Supporting cross-functional teams on day-to-day execution of projects and process improvements.* Effectively collaborate in a fast-paced environment with multiple teams in a large organization.About the teamSelling Partner Experience Science (SPeXSci) is a growing team of scientists, engineers and product leaders engaged in the research and development of the next generation of ML-driven technology to empower Amazon's Selling Partners to succeed. We draw from many science domains, from Natural Language Processing to Computer Vision to Optimization to Economics, to create solutions that seamlessly and automatically engage with Sellers, solve their problems, and help them grow. We are focused on building seller facing AI-powered tools using the latest science advancements to empower sellers to drive the growth of their business. We strive to radically simplify the seller experience, lowering the cognitive burden of selling on Amazon by making it easy to accomplish critical tasks such as launching new products, understanding and complying with Amazon’s policies and taking actions to grow their business.BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- Bachelor's degree or equivalent- Experience defining requirements and using data and metrics to draw business insights- Experience with Excel- Experience with SQL- Experience making business recommendations and influencing stakeholders ...

As a Data Engineer on the team, you will enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.You will analyze and solve business problems with focus on understanding root causes and driving forward-looking opportunities.Your ownership of the scoping and design of new metrics and enhancement of existing ones will help support the future state of business processes and ensure sustainability. You will communicate complex analysis and insights to stakeholders and business leaders, both verbally and in writing. These analytics and metrics will help ensure we are focused on what’s important, enable clarity and focus, and delight our customers. This position will support our expansion to other geographies.Key job responsibilities- Work closely with business managers and stakeholders to understand business issues and recommend solutions to ensure business questions are properly answered- Understand trends related to Amazon business and recommend strategies to stakeholders to help drive business growth.- Reporting of key insight trends, using statistical rigor to simplify and inform the larger team of noteworthy story lines.- Respond with urgency to high priority requests from senior business leaders.- Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations that will help shape the direction of the business.- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.- Ensure data accuracy by validating data for new and existing tools. Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use.- The ideal candidate actively seeks to understand Amazon’s core business values and initiatives, and translates those into everyday practices.BASIC QUALIFICATIONS- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Ability to convert ideas in to code efficiently in a programming language. ...

Do you want to play a crucial role in the future of Amazon's retail business by building data analysis systems that enable data driven decision-making at the largest scale possible?The Promise team sets the expectation of when customers’ items will arrive. The delivery promises we make are key drivers of customer behavior and influence the short and long-term profitability of Amazon’s global retail business. We serve as the interface between customer expectations and Amazon's industry-leading fulfillment capabilities. We are part of the Supply Chain Optimization Technology (SCOT) Group that develops and manages systems that optimize inventory acquisition and placement, so products are available for fast delivery. (For more information on SCOT, see this short video: http://bit.ly/amazon-scot.) Successful members of the Promise team are customer obsessed, flexible, and collaborative team players who enjoy working across functions and organizations to solve problems and get results. They ask hard questions and build solutions that provide the critical business insights needed to influence decision-making across retail and operations teams. They find timely answers buried in large data sets and complex systems, identify root causes, and get their hands dirty building data systems and sharing insight.The Promise team is seeking a Business Intelligence Engineer with broad technical and analytical skills to develop the data analysis systems we use to make decisions to optimize delivery promises for Amazon's customers worldwide. As an Amazon Business Intelligence Engineer, you will be working in one of the world's largest and most complex data warehouse environments. You will work on analytics, visualization solutions, and other Business Intelligence applications used by researchers, engineers, and management across multiple departments. You should be reliable at designing, implementing, and operating stable, scalable, low-cost solutions that analyze data from production systems into end-user facing applications. You should have deep expertise in the design, creation, management, and business use of extremely large datasets. You will need excellent business and communication skills to work with researchers and business owners in a fast-paced environment to develop and define key business questions and requirements. Above all, you should be passionate about working with huge datasets and analytics tools to provide insight into how the business is running and enable business decisions to be data driven. Key job responsibilities· Defining, developing and maintaining critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis· Transform complicated business problems into mathematics modeling and provide data-driven solutions· Analysis of historical data to identify trends and support decision-making, including written and verbal presentation of results and recommendations· Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of machine learning and econometric models· Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.· Mining and manipulating data from database tables, simulation results and log files· Identifying data needs and driving data quality improvement projects· Understanding the broad range of Amazon’s data resources, which to use, how, and when.A day in the life· Routinely performs and presents deep dives and anecdotes to gain more granular understanding of why a promise occurred and whether there are gaps in fulfillment systems which, if resolved, could speed up delivery. Build logic to attribute these root causes at large scale and put together underlying data pipeline to make this information available for metricizing and accessible for other teams within Amazon.· Regularly reviews the promise metrics for putting together callouts for weekly business reviews by performing ad hoc analysis and reaching out to appropriate teams to get further understanding of the issue. Another part of this exercise is to track and callout negative trends which need more attention from the leadership, identify the root cause(s), and recommend next steps to resolve the issue.· Works cross-functionally with various teams in Fulfillment Optimization organization to understand how they interact and affect the order fulfillment process and identify system gaps which could impact promise speed. They continue to resolve the gap by working closely with software teams to design and implement solutions to address these gaps and develop metrics to track it going forward.About the teamPromise Insights team in Austin develops and manages various critical services for customer delivery promise to improve our ability to analyze, understand, forecast, and modify promise behavior with a predictable result. The team owns the Promise data pipeline which captures relevant data from Promise services; Promise Analytics Platform and Web tools like Promise Viewer provide meaningful insights to stakeholders (PMTs, RSs, BIEs, Economists, and SDEs) for data-driven decision-making. We also use that data to run simulations to help answer business-critical questions; e.g., what is the impact on delivery promises and Amazon business if we had infinite inventory in every warehouse? Simulation plays a key role in enabling teams to achieve their business goals by identifying and sizing opportunities for increased profitability through cost savings and customer experience improvements. Simulations also provide insight into promise speed variants and the factors that impact them.The team is currently focused on evolving our capabilities into platforms that can be used across the company as well as expanding our Tools to not just present existing data, but to analyze that data against other systems to preemptively answer questions around what caused deviations in expected behavior.BASIC QUALIFICATIONS- 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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business ...