Business Intelligence

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 ...

Come build the future as a Data Engineer at Amazon, where you will be inspired working along best-in-class inventors and innovators! You will have the opportunity to create meaningful experiences that deliver on the ever-evolving needs of our customers, and your work will impact millions of people around the world.As an Amazon Data Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you’ll be creating for our customers.Apply now and you will be eligible for Amazon Data Engineer positions that are based on your preferred location, team, and more. We’re hiring across Amazon Stores in the United States and Canada.Teams with available positions include, but are not limited to:• Consumer Technology: Build new generation features and products for amazon.com, constantly improving the Customer and Seller experience for billions around the globe. Whether building site wide features such as reviews and recommendations, category specific software for the likes of Pharmacy, Electronics, Digital Software and Video Games or seller infrastructure, there are a variety of complex problems to tackle using a range of technologies in the design of your technical solutions.• Operations Technology: Shape the future of transportation planning and execution on a global scale, that impacts hundreds of fulfillment centers, thousands of Amazonians, and millions of customers across the world. Your technology will support thousands of operators worldwide to design, build and run the best-in-class Amazon transportation network. We are building intelligent software to make transportation more reliable, faster, and less costly, providing a better and less expensive experience for our customers.• Human Resources Technology: Create a seamless experience for millions of Amazonians and/or candidates. Whether supporting technologies for onboarding, time and attendance, compensation, amazon.jobs, or recruiting, you’ll deliver robust feature sets, elegant designs, intuitive user interfaces and systems that make it easy for Amazonians to excel at performing critical business functions.Key job responsibilitiesDesign, implement and support an analytical data infrastructure using AWS technologiesBuild robust and scalable data integration (ETL) pipelines using SQL, and AWS data storage technologies like Aurora, Red Shift etc.Design and develop Analytics applications using modern scripting languages (Python, R, PHP, etc) supporting critical business functions.Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.Lead architecture design and implementation of next generation BI solutionContinually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.BASIC QUALIFICATIONS- 1+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)- Experience with one or more scripting language (e.g., Python, KornShell) ...

How often have you had an opportunity to be a member of a team that is tasked with resolving customer needs through disruptive and innovative technology? Everyone on the team needs to be entrepreneurial, wear many hats and work in a fast-paced, ambiguous, and highly collaborative environment that’s more startup than big company. If this sounds intriguing, then we’d like to talk to you about a role in the WWDE - Concessions Analytics team. This team is focused on the customer remediation experience, building technology to identify and personalize the concessions experience for customers. To continue providing the best resolution options for customers, we seek a passionate, results-oriented, Business Intelligence Engineer (BIE). The Business Intelligence Engineer will partner with Software Developers, Data Engineers, , Program & Product Managers to provide insights on customer feedback, create key performance indicators for our products, and assist in feature engineering and pipeline development. The ideal candidate has strong business judgment, organization skills, backbone, experience measuring product performance, and collaborates well with product owners to answer key questions. The operating environment is fast paced and dynamic, however has a strong team spirited and welcoming culture. To thrive, you must be detail oriented, enthusiastic and flexible, in return you will gain experience in one of Amazon's core businesses.Key job responsibilities - Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. - Partner with operations/business teams/economist/machine learning (ML) teams to consult, develop and implement key performance indicators (KPI’s), automated reporting/process solutions and data infrastructure improvements to meet business needs. - Develop the end-to-end automation of pipelines for applications and ML models - Apply analytic skill to extract meaningful insights and learnings from large and complicated data sets. - Serve as liaison with Business and technical teams to achieve project objectives, requiring data gathering, problem solving, modeling, and communication of insights and recommendations.A day in the lifeIf 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! Benefits 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:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanBASIC 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 writing complex SQL queries- 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- Bachelor's Degree ...

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Do you want to be an integral part of the world's transition to the cloud? The AWS Analytics and Data Solutions (ADS) team is seeking for a Business Intelligence Engineer (BIE) with a combination of superior analytical abilities, business acumen, business judgement, curiosity, technical skills, and written and verbal communication skills to join our team.Data-driven decision-making is at the core of Amazon’s culture and people who are exceptionally talented at analyzing large sets of data to build insights are critical. Your work will directly impact the decisions and strategy of the entire AWS Infrastructure Services org and our customers. You will be gathering customer needs and insights, mining large and diverse data sets from across AWS Infrastructure, building visualizations and tools for our business partners, generating insights to help senior leaders make critical business decisions. Hence, the successful BIE will not only possess the expertise and passion for analyzing data, designing metrics to measure the performance of the business, and building reporting capabilities and tools, but also will interact directly with business leaders and teams that rely on the metrics and analyses that they produce.The business intelligence engineer must be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail), and enjoy working in a fast-paced, dynamic environment. If you are excited about data, are results-oriented, and want to join a growing analytics team within Amazon - this role is for you! Key job responsibilities - Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support the needs of the business. - Apply deep analytic and business intelligence skills to extract meaningful insights and learning from large and complicated data sets. - Be hands-on with ETL to build data pipeline to support automated reporting. - Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc analyses to support future improvements or innovations. This will require data gathering and manipulation, problem solving, and communication of insights and recommendations. - Build various data visualizations to tell the story of business trends, patterns, and outliers through rich visualizations. - Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.About the teamWhy AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and 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, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.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 ...

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 ...

The AWS Cloud Intelligence team is a specialty services organization that provides cloud compete expertise globally. We are subject matter experts (SMEs) covering top and emerging competitors, key domains, and industry segments. Cloud Intelligence enables field teams to help their customers quickly by removing both business and technical blockers in the sales cycle. We advise account teams and their customers through at scale content, gather and analyze insights surrounding comparable cloud providers, and highlight product and position gaps that our customers are experiencing to continuously improve AWS’ overall value proposition. In addition to on-demand self-service resources, the CI team provides targeted support for specific competitive opportunities through one-to-one customer engagements. This team hires SAs and BDMs who are SMEs in one or more public clouds to advise AWS field teams on the best strategies to develop compelling business cases to support customers co-existing and partnering with competing public cloud services.Join a team of cloud experts focused on uncovering and articulating advantages for AWS Customers!As a Cloud Intelligence Field BDM, you will be a strategic partner to the AWS field sales team. You will help customers understand why AWS is the best cloud partner for their business. You will coach sales teams on how to amplify AWS strengths and create differentiation strategies. As a strategic partner to sales and external customers, you will identify emerging signals and best practices, to serve the broader organization. This position blends business and technology skillsets. Cloud Intelligence Field BDMs drive complex engagements and interact with executive audiences. They also have technical competence that enables them to analyze AWS and other cloud providers. Candidates must have the capability to craft and convey compelling value propositions, and to communicate concepts and stories effectively.Key job responsibilities• Develop scalable competitive strategies to enable winning key strategic deals.• Support, coach, and develop large deal closing capability.• Be the go-to resource for an AWS field sales segment and sales leadership for AWS differentiation.• Leverage excellent communication skills to articulate the business value of AWS value propositions, working backwards from our customers strategic objectives.• Demonstrate the ability to earn trust with and influence C-level executives in customer organizations and within AWS.• Lead strategic, in-person workshops (this position will require travel).• Develop and share cloud adoption trends and blockers across the cloud ecosystem.• Enable and upskill field teams through development of field-friendly content, and delivery of trainings.• Track signals and identify opportunities, in order to provide Cloud Intelligence with insight to improve offerings.• Influence internal stakeholders on market realities, with the objective to further differentiate AWS’s value.About the teamWhy AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Mentorship & Career Growth: We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance: We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team Culture: Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Diverse Experiences: AWS 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.BASIC QUALIFICATIONS- 10+ years of developing, negotiating and executing business agreements experience- 8+ years of domain Industry experience in FSI, Telcom/Media & Entertainment, or Healthcare. ...

Amazon’s Global Supply Chain (GSC) is looking for a Business Intelligence Engineer for the Supply Chain Innovation (SCI) team. SCI plays an important role in defining and shaping Amazon’s inbound supply chain's long-term strategy. We are responsible for the incubation and execution of highly visible supply chain projects across low-cost storage, bulk fulfillment, inbound cross-docks, fast-deploy fulfillment, and network optimization. Our solutions address the needs of the inbound network in order to meet the speed, cost, and resiliency demands of our customers.In this role, you will be leveraging various analytic and visualization techniques to support data-driven storytelling, and look around corners to continuously raise the bar on our business insights capabilities. You will collaborate across supply chain and research science teams to meet the current and future needs of the business through data gathering, automation, standardization, and reporting.The ideal candidate is an individual with excellent analytical abilities and a creative mind to invent solutions in technical architecture, business process, and financial outcomes. The successful candidate will be a self-starter comfortable with ambiguity, who has a strong attention to detail, and enjoys working with large-scale data.Key job responsibilities- Deep dive into operations execution and business problems, use analytical and statistical rigor to identify trends and opportunities, and present written and verbal analyses to drive improvements - 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 documentation - Develop an understanding of the broad range of Amazon’s data resources, which to use, how, and whenBASIC QUALIFICATIONS- 8+ 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 ...

AWS Databases, Analytics and AI/ML Products and Services is one of the largest and fast growing business unit within AWS. We are working on revolutionary business intelligence system within database, analytics and AI/ML organization to support fast growing business needs. Are you a passionate Business Intelligence Engineer who wants to make a real business impact on a key AWS business?We are looking for seasoned Business Intelligence Engineer to join a BI team for Databases, Analytics and AI/ML business. As a BI Engineer, you will be building complex business intelligence applications using AWS Analytics stack. You should have deep expertise and passion in working with large data sets, data visualization, deriving insights from large complex datasets, writing complex SQLs, performance tuning, bringing data from disparate data stores, programmatically identifying patterns and developing visualizations. You should have excellent business acumen and communication skills to be able to work with business owners to develop and define key business questions and requirements. You will provide guidance and support for other engineers with industry best practices and direction. Amazon Web Services (AWS) has culture of data-driven decision-making, and demands timely, accurate, and actionable business insights.From technology perspectives, you will have opportunities to (and will be asked to) be exposed to the modern agile cloud-based data technologies. The team is empowered to select the right technology, if necessary, based on customer needs and you will have the full set of AWS services in your toolbox. AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.About the teamOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.Diverse ExperiencesAWS 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. About AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship & 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, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.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 ...

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. We are looking for a Senior Product Manager Technical in the Amazon Grocery Data and Tech.This role is both creative and data driven – we need someone who can understand our current pain points, isolate improvement opportunities, help us think big about what to consider in terms of localization, scalability, commodity management, and long term automation. You will also be responsible for producing insights and creating roadmap that will help shape effective strategies to better meet our customers’ needs. You will work closely with internal teams, and partners across the grocery business line and other partner teams in these areas. Key job responsibilitiesThe leader would work closely with tech teams, leaderships, and business stakeholders to get the products designed and delivered. Some responsibilities include:a) Create and own product roadmapsb) Contribute or own vision docc) Work with business stakeholders to collect pain points and with engineers to come up with strategiesd) Own tradeoff decisions and resource planningAbout the teamAmazon Grocery Data and Technology (GDT) team is the central data team for Amazon Grocery and consists 6 engineering teams (BIEs/DEs/SDEs) and 1 central PM team. We are the direct owner of (a) Infrastructure and services used for reading, processing, reporting and enrichment of grocery data; (b) Productivity tools for Seller Partners; (c) Reporting solutions for worldwide 1P and 3P customers across the following businesses: Amazon Fresh Grocery (AFG), Whole Foods Market (WFM), Amazon Grocery Partners, etc. BASIC QUALIFICATIONS- Bachelor's degree- 5+ years of product or program management, product marketing, business development or technology experience- Experience owning/driving roadmap strategy and definition- Experience with feature delivery and tradeoffs of a product- Experience contributing to engineering discussions around technology decisions and strategy related to a product- Experience managing technical products or online services ...

Are you passionate about transforming data into actionable insights? The Customer Service Security - Application Security team seeks an innovative and results-driven Business Intelligence Engineer to join our team. In this role, you will transform data into actionable insights, leveraging cutting-edge data products to drive high-impact security decisions. You'll dive deep in our data, identify root causes, and think ahead to uncover new patterns and opportunities. Collaborating closely with security engineers and software development engineers, you will use data to guide the resolution of security issues. Join us today to enhance Amazon's security posture through data-driven solutions and play a key role in shaping our data-informed security strategy.Key job responsibilities1. Develop robust, extensible, and scalable Business Intelligence solutions for security problems.2. Create and refine data strategies, making technical trade-off decisions for short and long-term requirements.3. Bridge communication between business and engineering teams to provide actionable insights into business performance.4. Conduct ad-hoc investigations to support future improvements and innovations.5. Gather and manipulate data, solve problems, and communicate insights and recommendations clearly.6. Write high-quality SQL queries and Python code to retrieve and analyze data efficiently.7. Build compelling data visualizations that illustrate business trends, patterns, and outliers.8. Stay current with BI tools, technologies, and best practices to continually improve solutions.About the teamThe Customer Service Security - Application Security team provides proactive security guidance and support to an Amazon business unit. We address security early in the software development lifecycle by providing guardrails and paved paths. We also bridge gaps between application security and software engineering by advocating for secure coding standards, automating processes, and developing reusable security solutions leveraged company-wide. We stay ahead through continuous research into emerging threats and adoption of new techniques and best practices. Our collaborative environment encourages diverse perspectives and continuous learning to shape cutting-edge strategies that protect customer data while delivering reliable, trusted services.ABOUT AmSec:Diverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. 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.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Inclusive Team Culture In 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 and 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. 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 ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun.Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.Amazon Robotics co-op opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.Must be eligible and available for a full-time (40h / week) 6-month co-op between January to June 2025 or July to December 2025 Travel amount is less than 10% a year.Key job responsibilities- Converting data into digestible business intelligence and actionable information- Design and develop highly available dashboards, perform business analysis and data queries using SQL, Python and other BI Tools- Working with large data sets, automate data extraction, and build monitoring/reporting dashboard- Story telling with Data and Visuals- Interacting with internal stakeholders to deep-dive outlier events- Analyze and solve business problems with focus on understanding root causes and driving forward-looking opportunities- Communicating complex analysis and insights to our stakeholders and business leaders, both verbally and in writing.- Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable formatBASIC QUALIFICATIONS- Knowledge of Tableau or Power Query- Knowledge of SQL- Work 40 hours a week throughout the course of a 10 weeks to a 6 months summer internship- Experience in Excel (macros, index, conditional list, arrays, pivots, lookups)- Are 18 years of age or older ...

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 ...

Are you looking to build and scale a new and growing business with Amazon? If so, you might be interested in this role with Amazon Freight.Amazon Freight is a startup business within Amazon focused on developing an industry-leading transportation offering to provide external freight Customers access to the world-class network and freight services currently used to facilitate Amazon’s own freight movements. Our freight offerings/portfolio ensures our Customer’s freight is moved with the highest level of service and quality at a competitive price across multiple modes of transportation, including truckload, less-than-truckload, and intermodal. In doing this, Amazon is deeply studying customer shipping needs and building innovative, market-leading solutions that will organically attract customers towards our services.We are seeking a Business Intelligence Engineer who is passionate about leveraging data to deliver actionable insights for Amazon Freight. Our ideal candidate is someone who has strong technical and analytical skills, enjoys building a new business and the ambiguity that comes with that. You should thrive and succeed in an entrepreneurial environment and won't be hindered by ambiguity. If you enjoy innovating, thinking big and want to contribute directly to the success of an industry changing business, you may be a prime candidate for this position.Key job responsibilities· Generate insightful analysis, reporting, and data visualizations to answer critical business questions, proactively identify notable trends, and communicate business performance· Translate data into actionable insights for stakeholders while proactively identifying new areas of opportunity to drive further improvements· Apply expertise in data mining and modeling leveraging multiple data sources to uncover unique insights, identify key performance drivers, and build predictive models· Work backwards from your end-customer to define, design, and execute each work item with an emphasis on improved metrics, productivity, and efficiency· Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentationBASIC 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 in Statistical Analysis packages such as R, SAS and Matlab- 3+ years of experience using excel for deep dive and provide actionable insight to stakeholders ...

We are looking for an experienced and enthusiastic data engineering and insights professional with a proven track record of delivering influential solutions to complex and ambiguous problems. A practiced researcher, who uses data engineering, statistics, systems knowledge, and data visualization to guide decision making for cross-functional leadership teams. We are seeking a collaborative individual who can think holistically through multidimensional problems to understand how systems work together to identify and execute both tactical and strategic projects which drive improvements to robotic architecture or design.Key job responsibilitiesIn this role, you will support Amazon's newest robotic technologies through their Alpha, Beta, and General Availability phases. A day in the lifeYou will collaborate cross-functionally with engineering teams, program managers, and leaders throughout the organization to deliver projects aimed at characterizing and improving the performance of new robotic automation technology in Amazon's network of warehouses. In this role, you will use a combination of unified and disparate data sources to uncover insights delivered through decision-driving analytics white-papers and automated data visualizations to influence the development and deployment of cutting edge robotic technology. You will collaborate with Data Scientists, Data Engineers, and Program Managers to define and deliver world class analytics tools and insights to shape the robotic technology landscape.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 Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan 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!About the teamThe Amazon Robotics Business Intelligence, Analytics, and Data Science team discovers insights in vast and varied robotic data to support decision-making for engineering and operations customer teams. We collaborate with designers, software and hardware engineers, and operations teams to understand system performance, make feature and design trade-offs, and inform decisions on new applications of Amazon Robotics technology. We conduct relevant, insightful analysis and communicate the results through white papers and data visualizations. Our methods include design of experiments, statistical modeling, machine learning, financial analysis, and data visualization.BASIC QUALIFICATIONS- 8+ 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- 5+ years of SQL experience ...

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 ...

The Amazon Vendor Services (AVS) 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. Our team is responsible for building robust processes, identifying opportunities for improvement, and partnering with dependent teams to improve tools and systems for internal and external customers. As a BIE, you will develop, standardize, and report on data which drives efficiency and scalability for the AVS Program. You will work closely with business intelligence, data engineering, operations, marketing, and other Retail partners to improve the Selling Partner experience. You will develop and implement ideas that drive continuous improvement by simplifying processes and driving automation. This position provides opportunities to influence one of the high visibility and high impact areas in the organization. The ideal candidate is highly analytical, resourceful, customer-focused and team oriented, with clear communication skills and the ability to build effective relationships with key stakeholders. You are also have a history of delivering results in a fast-paced and dynamic business environment. Key job responsibilities- Use analytical and statistical rigor to solve complex problems and drive business decisions- Mine data from database tables (ex. Redshift, MySQL, Oracle) using SQL and log files by writing scripts (ex. PERL, Python, UNIX)- Develop deep-dive tools, UIs, metrics, and dashboards- Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current business performance. This will require data gathering and manipulation, synthesis and modeling, running simulations, problem solving, and communication of insights and recommendations.BASIC QUALIFICATIONS- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- 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)- Experience with scripting language (e.g., Python, Java, or R) ...

Are you excited about uncovering actionable insight to improve delivery experience? Do you get excited about operating in an ambiguous and fast moving environment? Are you looking for an opportunity to define analytics roadmap, work with cross functional teams, experiment with AWS tech solutions and build decision-driven analytics solution for work that is critical to Amazon’s continued ability to deliver smiles in communities? The DSP Analytics Team has an exciting opportunity for a Senior Business Intelligence Engineer (BIE) to make an impact on the Amazon’s Delivery Service Partner (DSP) program.The goal of Amazon’s DSP organization is to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon is continually striving to innovate and provide best in class delivery experience through the introduction of pioneering new products and services in the last mile delivery space. Come join us and help us make history!We are looking for an innovative, highly-motivated and experienced BIE who can think holistically about problems to understand how systems work together to identify and execute both tactical and strategic projects. You will work closely with engineering teams, product managers, program managers and org leaders to deliver end-to-end data solutions aimed at continuously enhancing overall DSP Experience. You will have an opportunity to lead medium to large scale projects along with owning multiple domain within the team and contributing to analytics roadmap.Key job responsibilities- Earn the trust of your customers and stakeholders by continuing to constantly obsess over their business use cases and data needs, and helping them solve their problems by leveraging technology.- Work closely with business stakeholders and leadership team to review roadmap and contributing to business strategy and how they can leverage analytics for success.- Manage and execute entire projects from start to finish including stakeholder management, data gathering and manipulation, modeling, problem solving, and communication of insights and recommendations.- Extract, transform, and load data from many data sources using SQL, Scripting and other ETL tools.- Design, build, and maintain automated reporting, dashboards, and ongoing analysis to enable data driven decisions across our team and with partner teams.- Report key insight trends using statistical rigor to simplify and inform the larger team of noteworthy trends that impact the business.- Retrieve and analyze data using a broad set of Amazon’s data technologies (ex. Redshift, AWS S3, Amazon Internal Platforms/Solutions) and resources, knowing how, when, and which to use.About the teamWe are the core Amazon DSP BI team with the vision to enable data, insights and science driven decision-making. We have exceptionally talented and fun loving team members. In our team, you will have the opportunity to dive deep into complex business and data problems, drive large scale technical solutions and raise the bar for operational excellence. We love to share ideas and learning with each other. We are a relatively new team and do not carry legacy operational burden. We believe in promoting and using ideas to disrupt the status quo.Per the internal transfers guidelines, please reach out to the hiring manager for an informational through the "Request Informational" button on the job page.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience writing complex SQL queries- 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 ...

Do you have a passion for customer experience and a mindset for data-driven problem solving? Do you want to be part of a team forging new ways to experience Amazon deliveries? We turned the transportation industry on its head by offering 363 day-a-year delivery, what will we do next? Middle Mile Performance Management (MMPM) is looking for a talented Business Analyst who will own analytics and develop solutions to drive insights and optimization for driving Carrier Performance improvements. As a member of this team, you will have an opportunity to be a thought leader in Middle Mile by working with a group of talented program managers, product managers, operations, and business leaders to design the Amazon network of the future. This position requires superior analytical thinking, ability to quickly approach large ambiguous problems and apply analytics, technical and engineering expertise to rapidly analyze, validate, visualize, prototype and deliver solutions. This position also requires significant cross functional activity and integration with transportation, tech, operations and finance. Successful candidates must thrive in a fast paced environment. Business Analysts are responsible for converting data into actionable business insights. They are analysis experts who leverage a variety of data platforms and analytical tools to provide timely, meaningful, and consumable information. They build deep contextual and domain knowledge. They ensure data quality and build scalable tools. They communicate findings with the most effective and influential methods. Amazon is seeking an exemplary Business Analyst with broad technical skills to develop data visualizations and build automation solutions that drive business decision making and process improvement. The person in this role will draw upon advanced analytical, problem solving skills, and passion for delivering business insights and analytics. The complexity of research and skills for a Business Analyst is well beyond basic data entry and extraction. It involves design and development of automated data pipelines, sophisticated analytical modeling and intuitive data visualization. This role will directly be responsible for maintaining front end code using Python, SQL, HTML, Java, and R, or other similar coding languages. Proficiency in the aforementioned languages is not required, but preferred. This role will have high level visibility due to the nature of the toolsets being maintained, built, and the network impact of analysis conducted. This role has great exposure to a broad scope that can really help shape the future of operational fulfillment and promotes career progression.Key job responsibilities- Provide data management processes such as accessing raw data feeds, building queries and macros, writing VBA code, organizing data and designing reports that present status-at-a-glance visualization for business performance.- Retrieve and analyze large sets of data using Excel, SQL, and other data management systems.- Design and implement reporting solutions to enable stakeholders to manage the business and make effective decisions.- Take ownership of reporting processes to ensure that each report is accurate and timely with a high degree of customer focus in resolving data discrepancies.- Build and manage related key performance indicators (KPIs) to measure, control, and benchmark reporting processes.- Monitor existent metrics, build new metrics, and partner with internal teams to identify process and system improvement opportunities.- Support cross-functional teams on the day-to-day execution of the existent program implementation.- Generate complex queries to dive deep on process issues- Innovate to improve customer experienceBASIC QUALIFICATIONS- 5+ years of business analyst, data analyst or similar role experience- 5+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience- Bachelor's degree or equivalent- Experience with SQL ...

Amazon Advertising operates at the intersection of e-Commerce and Advertising, offering a range of digital advertising solutions with the goal of helping our customers discover and shop for anything they want to buy.The Amazon Advertising business is growing at a fast pace and this team’s mission is to apply science and technology to accelerate that growth through best-in-class solutions. We are part of the Sales Recommendations & Insights team within Sales & Partner Enablement (SPE) to deliver solutions to improve Amazon Advertising Sales team effectiveness worldwide. We are building products for Amazon Advertising front line sales team. Our mission is to minimize the effort required for our Sales team to identify opportunities and recommendations to help their brands grow on Amazon.The team is looking for motivated Business Intelligent Engineers. In this role you will be responsible for and 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 - Analyze and solve business problems at their root, stepping back to understand the broader context.- Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations that will shape the future of the Amazon Business.- Develop end-to-end self-service BI solutions to support decision making for the key stakeholder.- Train business stakeholders to use the BI tools and to be autonomous in data analysis.- Research and implement novel approaches to enhance existing technical and business processes to improve customers and stakeholders experience.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 ...

Amazon Fulfillment Technologies (AFT) is seeking an experienced Business Intelligence Engineer who is passionate about leveraging data to deliver actionable insight to improve senior level business decision making. Amazon Fulfillment Technologies (AFT) powers the physical engine at the heart of Amazon. AFT builds and operates software, hardware, and processes that run the global network of fulfillment centers that move many billions of units of inventory, employ tens of thousands of people, and ensure that customers get what they want when we promised we would get it to them. We do this by building automated solutions to handle things that technology does well, while relying on people to handle things that humans do well. Our team collaborates with machine learning scientists, product managers, engineers, Suppliers, fulfillment associates, and with a variety of customers across Amazon worldwide. Key job responsibilities• Design, develop and maintain scaled, automated, user-friendly systems, reports, and dashboards enabling stakeholders to manage the business and make effective decisions.• Work with PMs and Business stakeholders in understanding the business requirements and implementing solutions to support analytics and reports.• Conduct ad hoc data analysis and data quality investigations.• Implement training and documentation solutions that enables stakeholders to get the most out of our self-serve reporting tools.• Develop and support the analytical technologies that give our customers timely, flexible and structured access to their data.• Defining, developing and maintaining critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis• Analysis of historical data to extract meaningful insights and learnings from large and complicated data sets 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 models• Understanding of Amazon’s data resources, which to use, how, and whenA 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 Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) Plan 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!About the teamAmazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.InboundAFT’s Inbound team delivers innovative solutions to automatically receive and process billions of units of inventory from Amazon’s vendors and third-party sellers worldwide, making the merchandise quickly available to Amazon customers.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience writing complex SQL queries- 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 ...