Business Intelligence

Come be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential.As a Sr BIE, you'll uncover business insights using product data that will help us make strategic decisions both for short term priorities and long term investments. You'll be working with the tech leaders to identify gaps in our data practices and help address them. You will partner with PMs, Solution Architects, TPMs and other stakeholders to run data analysis for some of the challenging customer problems.Key job responsibilities- Develop and lead design and execution of reporting solutions for product data- Work with product managers, data engineers, data scientists, and software engineers to define reporting needs- Build self-service tools and dashboard that not only gives aggregated metrics but also provide ways to pull granular data for defect verification, customer communication, deep-dives, etc.- Perform deep-dives and data analysis. Provide recommendation on new metrics or business decision.- Mentor teammates, provide inputs in team and org level strategic planning, lead cross org discussionsBASIC QUALIFICATIONS- 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 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- Master's degree in statistics, data science, or an equivalent quantitative field ...

Come and become part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, we set out every day to innovate and disrupt the status quo developing innovative selection, pricing and operations solutions to help business customers thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential.Amazon Business Flywheel Inputs Science and Analytics team is looking for an experienced Business Intelligence Engineer to excel at pricing, selection, forecast and optimization data solution. Amazon Business (AB) represents an incredible opportunity to address a vast new market segment and customer base for Amazon. We are focused on building solutions that enable B2B customers to find, research, and buy products and services across multiple devices and marketplaces. The Amazon Business Flywheel Inputs Science team owns the science and analytics for key AB problems including price setting, selection additions and operations optimization. Amazon Business is a fast growing business sector. We need leaders who can think big and drive big vision into a reality. Please come to work with us if you are result driven, think big, and want to have fun and make a history.The ideal candidate will have outstanding leadership skills, proven ability to develop, enhance, automate, and manage tech and data solutions from end to end. The ideal candidate will have data mining and data modeling skills and will be comfortable facilitating idea creation and working from concept through to execution. The ideal candidate must have demonstrated ability to manage the medium to large scale automation and data modeling projects, identify requirements and build methodology and tools that are technically grounded but also explainable operationally, apply technical skills allowing the solution to adapt to changing attributes.A day in the lifeYou will build the data solutions and the supporting structures needed to analyze, dive deep, and innovate the pricing strategies. You will also have the opportunity to present findings to cross functional team partners to drive improvements. You will work closely with other Applied/Research/Data Scientists, Economists, Data Engineers, Software Development Engineers, Program Managers and Business Partners to solve challenging problems. You will be expected to provide clear and concise explanation to results and approaches as well as provide opinion and guidance on problem solving.About the teamAmazon Business (AB) represents an incredible opportunity to address a vast new market segment and customer base for Amazon. We are focused on building solutions that enable B2B customers to find, research, and buy products and services across multiple devices and marketplaces. The Amazon Business Science team owns the science and analytics for key AB problems including price setting and selection additions.BASIC QUALIFICATIONS- Master's degree in statistics, data science, or an equivalent quantitative field- 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 in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining ...

We are seeking a Business Analyst to support Amazon's global 3P fee strategy for upstream and inbound services related to Selling On Amazon. Our 3P (Third-Party) business includes Fulfillment By Amazon (FBA) and Merchant Fulfillment Network (MFN) channels. With Sellers contributing to over 50% of Amazon’s online sales, 3P Fee strategy is integral to Amazon’s ability to deliver on its goal of offering a vast selection of products at low prices to customers.The successful candidate will have strong analytical background, track record of effective business partnership, and ability to deliver results in an ambiguous, fast-paced, and dynamic environment. The candidate must have the ability to communicate and collaborate effectively across cross-functional and cross-regional stakeholders to understand topline and cost drivers, and deliver high quality insights to senior leaders to influence fee strategy.We are looking for someone with expertise in data analytics skills, strong business acumen, an ownership mindset and ability to clearly communicate. In this role, you will leverage our data to drive efficiencies, provide key data-driven insights, enable new opportunities and innovate on behalf of business customers, in close partnership with both finance and business teams. You will manage and execute entire components of large projects from start to finish including data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations. You will also support building metrics and reporting on them to senior leadership.A successful candidate will develop a strong understanding of our business and make data-driven conclusions. They will be comfortable with ambiguity while working in a fast-paced dynamic environment. They will also continuously learn new systems, tools, and industry best practices to help design new tools that help our team automate, and accelerate analytics. Key job responsibilities• Oversee business and finance reporting and analytics• Understand input drivers and validate integrity of the reporting to influence strategic decision-making and planning• Build and drive planning, forecasting, and reporting models• Identify and support the automation of manual reports• Generate actionable insights through the development of metrics, dashboards and deep dive analyses • Communicate data (both written and verbal) in a clear, concise, and unambiguous manner• Influence critical business decisions with dataA day in the lifeAs the Business Analyst, you will work closely with multiple business and finance teams including product and tech team, data science team, and operations, to shape the monetization of our 3P business. You will help the team identify growth and profit opportunities, partnering with the business teams to develop cost reduction strategy for a global multi-Billion dollar cost reduction goal.About the teamThe WW Product & Tech Finance team focuses our effort on high impact analytical problem solving. Because of this unique focus we attract curious self-starters that thrive on developing new ideas. We have a tight business partnership with the WW FBA product and tech team and Operations where working groups organically coalesce to tackle big problems and opportunities.BASIC QUALIFICATIONS- 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- Experience making business recommendations and influencing stakeholders- Experience in Excel (including VBA, pivot tables, array functions etc) and data visualization tools such as Tableau ...

The Rapid & Rural Logistics (R2L) team is seeking a Business Intelligence (BI) Engineer to join the Automation Team. The R2L team that includes rush service and super rural delivery covers a portfolio of high-growth businesses with unique fulfillment and operational capabilities such as Sub Same Day (SSD), Rural Super Rural (RSR), and Amazon Today. R2L exists solely to meet the goal of quick, accurate delivery and this is constantly being challenged and changed, adapting to our customer demands and improved. To meet this goal, R2L must remain flexible at all times, adapting with all of the changes and growth that comes our way. As a Business Intelligence (BI) Engineer, your focus will be on process automation, operational insight, and other analytical support to stakeholders for the Sub-Same Day (SSD),Rural Super Rural (RSR) and Amazon Today(AT) Delivery business. The Automation team partner closely with Delivery and the operations teams to automate Program Manager manual process.The ideal candidate will draw upon advanced analytical, problem solving skills, and a passion for building solution towards automated operational management. The successful leader of this team will collaborate effectively with internal end-users, cross-functional stakeholders and technical teams to drive for automation of our operational processes for future innovation. They must be a self-starter, comfortable with ambiguity, and able to think big and be creative to support a rapidly growing business. Your will create solution to automate Program Manager day to day task or process using combination of dashboard, macros, scripts, and SQL. We look for candidates who are excellent communicators, inspiring leaders, self-motivated, flexible, hardworking, and who like to have fun. Key job responsibilitiesThe successful candidate is a seasoned data professional with a strong bias for action, Proficiency with data visualization tools like QuickSight and Tableau, data modeling, ETL (Extract, Transform, Load), SQL, and scripting skills.Own the design, and development of projects to drive key business decisions. A typical day in this role provides an opportunity to build innovative data solutions with large-scale systems, identify high-priority work and projects that maximize results for key stakeholders, and solve complex problems that impact company-wide strategic decisions. Further, you will help automate processes by developing deep-dive tools, and dashboards to communicate these insights to the business teams. Successful members of this team collaborate effectively with business customers and cross-functional data management teams to solve problems and implement new solutions.In this role, you will: • Understand business problem requirements • Identify opportunities for automation • Implement solutions to enhance operations facing systems, processes, and toolsA day in the life• Take detailed requirements from stakeholders to deeply understand their current manual processes and pain points• Think creatively to identify opportunities to solve problems using technology-driven solutions• Design and implement the optimal automation solutions to address stakeholder needs• Respond to ad-hoc requests and provide support as needed• Thoroughly document all processes, solutions, and learnings to ensure knowledge capture and sharing• DocumentationAbout the teamThe Rapid and Rural Logistics team manages high-growth specialty fulfillment operations, focused on fast, accurate delivery of unique products. The team needs agile, self-directed individuals with a strong bias for action. The ideal candidate will balance technical expertise in ETL, visualization, and scripting with strong stakeholder skills. You'll work closely with teams to deeply understand their needs, then design and deliver automated solutions driving key decisions and operational improvements. Speed, flexibility, and autonomous decisions are crucial. Bonus qualifications include Python proficiency for data tasks, and AWS experience for implementing robust, scalable solutions - complementing the core role requirements.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 ...

Would you like to shape the future of the video entertainment industry for movies, TV and live sports events? Does solving complex problems within large scale systems excite you? If you answered yes, come build the future of entertainment with us!Prime Video offers customers a vast collection of movies, series, and sports—all available to watch on hundreds of compatible devices. U.S. Prime members can also subscribe to 100+ channels including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required. Prime Video is just one of the savings, convenience, and entertainment benefits included in a Prime membership. More than 200 million Prime members in 25 countries around the world enjoy access to Amazon’s enormous selection, exceptional value, and fast delivery.Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.Amazon is seeking a Business Intelligence Engineer for a high visibility role supporting Prime Video Sports. This role sits within the Finance & Strategy organization, and provides opportunities for impactful contributions to the Prime Video business. Business Intelligence Engineers partner with finance, strategy, and other stakeholders to solve complex problems, including, reporting & tooling automation, business analysis, and strategic planning. This role will oversee reporting and analysis of major sports properties, such as Thursday Night Football and UEFA Champions League. Key job responsibilities- Partner with Finance and Strategy Managers to design reports and analyses which answer important business questions. - Build impactful, scalable data pipelines and automated reporting products. - Produce meaningful, timely, and actionable analyses to inform sports business decisions.- Design and implement metrics to measure effectiveness of new products. - Work with Data Engineers, Economists, and Product Managers to optimize Prime Video reporting and analysis infrastructure and operations. 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 ...

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 ...

At Amazon, we're working to be the most customer-centric company on earth. Customer Service is at the heart of what we do. Are you interested in shaping the future of Amazon Customer Service globally and driving strategic initiatives that shape the future of support for our employees and customers?The Consumer Customer Service Support (C2S2) team is looking for a talented and experienced Business Intelligence Engineer (BIE) to work across Customer Service and other Amazon teams to improve its content management, training, and program management functions. You will be part of a team of analysts responsible for developing and maintaining the reporting infrastructure for C2S2. This includes measuring the efficacy of training, associate facing content, Amazon’s help pages, and strategic program initiatives. As a BIE, you will support both the C2S2 functional teams and the rest of the analyst team to automate, standardize and scale their most complex data tasks.A successful candidate will have a passion for data analytics and a deep knowledge of business intelligence solutions. The individual will have experience working with diverse groups of stakeholders, gaining expertise in their data and metrics, and translating their business needs to technical solutions. The individual will have the ability to work in a fast-paced environment, and a desire to innovate, fail fast, learn, iterate and improve.Key job responsibilities· Work with stakeholders to understand their needs and design reporting and automation solutions that will exceed expectations· Build detailed understanding of CS processes and how they map to data· Work with a variety of data sources and large data sets, extract data using efficient query development and provide a holistic and consistent view of the data· Actively drive automation and scaling of data processes and create self-service tools· Build knowledge of the latest tools and technologies to help deliver flexible and scalable solutions· Partner with data engineering teams to adapt data infrastructure to requirements· Actively manage the timeline and deliverables of projects, anticipate risks and resolve issuesAbout the teamIf 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) PlanBASIC QUALIFICATIONS- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.- 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 with forecasting and statistical analysis- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field ...

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 ...

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 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.We are hiring a Business Intelligence Engineer to identify strategic initiatives that will form the next generation of Amazon Logistics. As a Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. In this role, you will primarily work on designing and building automated reporting and dashboards using complex data. We are still in the nascent stage so it is an exciting opportunity to be involved from design-to-execution. As a BI Engineer, you will operate as a mix of hands-on builder and influencer.The team’s success depends on our ability to create actionable insight from the data that we and our partners generate. The ideal BIE candidate will have excellent analytical abilities, business acumen, high judgment, strong technical skills, and good written and verbal communication skills. This person will be a self-starter, comfortable with ambiguity, able to think big and be creative (while paying careful attention to detail), and enjoys working in a fast-paced dynamic environment. To be successful in this role, you should have broad skills in data mining, be comfortable dealing with large and complex data sets, while applying analytical rigor to solve business problems.This role is cross-functional - you will work closely with partners in Product Management, Training and Program Management to design and deliver data needs. You should be comfortable working in a dynamic, start-up environment, and seek data-driven decision-making. You should have strong analytical and communication skills and be able to work with product managers and business development teams to define key business questions and build data sets and models that answer them.Key job responsibilities- Develop complex queries for ad hoc requests and projects, as well as ongoing reporting.- Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs- Design, implement, and support key datasets that provide structured and timely access to actionable business information addressing stakeholder needs.- Interface directly with stakeholders, gathering requirements and owning automated end-to-end reporting solutions.- Partner with analysts, data engineers, business intelligence engineers, and software development engineers across Amazon to produce complete data solutions.- Simplify and automate reporting, audits, and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders- Proficiency with SQL queries to retrieve and analyze data. Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use.- Estimate models, write analyses, and extract insights and provide business recommendations.- 10-20% travel per quarter.About the teamWe serve AMZL’s Learning teams as the strategic thought leader, looking beyond where other teams are focused to drive transformative solutions that leverage technology and processes to improve learning outcomes and drive down the cost to serve.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.- 5+ years’ experience using business intelligence tools like Tableau, QuickSight, PowerBI etc. ...

Intelligence & Industrialization (I&I) is a functional team that provides data analytics, business intelligence, and software configuration support to business users within Global Supply Chain and Transportation Procurement (GSCTP) and Global Mile - Amazon Customs & Trade (ACT).ACT is an expanding business unit under worldwide operations for Customs Brokerage operations. Customs brokerage involves the coordination of a complex network of sellers, shippers, logistics service providers (LSP), compliance, and government authorities to facilitate clearance of goods for cross-border transportation. Timely submission of documents and coordinating with customs agents to ensure hassle free clearance of shipments is a crucial step in the logistics process to ensure on-time delivery of product to our customers.As a BIE II, you will support analysis, improvement and creation of metrics and dashboards for ACT stakeholders. You will join a team that insists on highest engineering standards and work with internal customers at all levels of the organization – Operations, Product, Finance, Technology, and Leadership – across multiple geo's (US, EU, CN). A successful candidate should be able to communicate effectively in working with business owners to develop and define key business questions, and build data sets that answer those questions. You should be expert at designing and implementing stable, scalable, low cost ETL pipelines and support analysis, improvement, and creation of metrics and dashboards.Key job responsibilities- Partner with internal stakeholders across multiple teams, gathering requirements and delivering complete solutions- Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation (role varies by opportunity).- Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.- Collaborate with team members on reporting datasets; review and raise code reviews (PL/SQL and Python); successful candidate should have experience with Amazon's internal code repositories.- Working with technology and analytics teams to support the development of tools, automation, and dashboards.- Communicating with and supporting various internal stakeholders and external audiences.BASIC QUALIFICATIONS- Experience writing complex SQL queries- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with data modeling, warehousing and building ETL pipelines- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business- Experience with data visualization using Tableau, Quicksight, or similar tools- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience ...

Amazon.com seeks a Business Intelligence Engineer to be a key partner for an exciting new initiative-Gen AI within Amazon’s Advertising business, a high-growth business with a range of product offerings for advertisers. We are looking for a top analytical mind capable of understanding our complex ecosystem of Advertising Gen AI business.As a key BI partner, the role will have the opportunity to use one of the world's largest eCommerce and advertising data sets to influence the long-term evolution of our Gen AI products. This role requires an individual with excellent business, communication, and technical skills, enabling collaboration with various functions, including product managers, software engineers, economists and data scientists, as well as senior leadership. This role will create and enhance Business Reviews decks and performance monitoring reports with automated data pipelines to find insights that product and business team should focus on.The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and with an ability to work in a fast-paced, high-energy and ever-changing environment. The drive and capability to shape the direction is a must.This role will influence the direction of the Gen AI business by leveraging our data to deliver insights that drive decisions and actions. The role will involve translating broad business problems into specific analytics projects, conducting deep quantitative analyses, and communicating results effectively. We see a high potential for growth in this role as we transform our data into actionable insights to continue to fuel the growth of this business. The role will help the organization identify, evaluate, and evangelize new techniques and tools to continue to improve our ability to deliver value to Amazon’s customers.Key job responsibilities1. Metrics development through Weekly Business Reviews decks and performance monitoring reports (such as Quicksight, Excel)2. Deep Dive Analysis and data insights (such as SQL, Python)3. Data infrastructure and automation (such as ETL data pipelines, Redshift, S3, Athena, Glue)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- Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred) ...

Business Intelligence Engineer Come build the future as a Business Intelligence 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 Business Intelligence 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 Business Intelligence 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.About Us: Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career GrowthOur 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. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a better-rounded contributor.Inclusive Team CultureHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Key job responsibilities• You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tools/languages like SQL, Excel, and others, to translate data into meaningful insights through collaboration with scientists, software engineers, data engineers and business analysts. • You will have end-to-end ownership of operational, financial, and technical aspects of the insights you are building for the business, and will play an integral role in strategic decision-making.• Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership• Produce written recommendations and insights that will help shape effective metric development and reporting for key stakeholders• Simplify and automate reporting, audits and other data-driven activities• Partner with Engineering teams to enhance data infrastructure, data availability, and broad access to customer insights• To develop and drive best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation• Learn new technology and techniques to meaningfully support product and process innovationBASIC QUALIFICATIONS- At least 4+ years of experience using SQL to query data from databases/data warehouses/cloud data sources/etc. (e.g., Redshift, MySQL, PostgreSQL, MS SQL Server, BigQuery, etc.).- Experience with data visualization using Tableau, Quicksight, or similar tools.- Bachelor’s degree in Statistics, Economics, Math, Finance, Engineering, Computer Science, Information Systems, or a related quantitative field.- Ability to operate successfully and independently in a fast-paced environment.- Comfort with ambiguity and eagerness to learn new skills. ...

Do you love data? Do you want to learn new technologies? Join our OCEANS team and help shape the future of employee compensation at Amazon! Our job is to establish data definitions, conduct research, and launch products to support the Amazon Leadership Team and Consultants in making pay decisions for employees. As a Data Engineer on our team, you'll work with cutting-edge technologies and complex data environments. You'll be responsible for enhancing our existing data architecture to further standardize metrics and definitions, developing end-to-end data engineering solutions for complex analytical problems, and collaborating with analysts, data scientists, and software engineers to translate data into actionable insights.This role requires you to live at the intersection of data, software, and science. We leverage a comprehensive suite of AWS technologies, with key tools including S3, Redshift, DynamoDB, Lambda, API's, Glue, MWAA, DataZone, and SageMaker. You will drive the development process from design to release. Key job responsibilities Managing data ingestion from heterogeneous data sources, with automated data quality checks. Creating scalable data models for effective data processing, storage, retrieval, and archiving. Using scripting for automation and tool development, which is scalable, reusable, and maintainable. Providing infrastructure for compensation analytics and science use cases. Using industry best practices in building CI/CD pipelines.About the teamJoin our team at Amazon, where data drives our global compensation strategy. As a cutting-edge business intelligence and analytics unit, we're shaping how Amazon compensates million+ employees worldwide. Our mission: to leverage advanced analytics in evaluating and scaling our annual pay policy, directly influencing the company's growth trajectory. If you're seeking a role with large-scale impact, we offer the opportunity to apply your analytical skills at the intersection of big data, human resources, and business strategy. Your work will revolutionize Amazon's compensation landscape, ensuring fair, competitive, and forward-thinking pay practices that support our company's continued success and expansion.BASIC QUALIFICATIONS- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations- Experience with one or more scripting language (e.g., Python, KornShell, Scala)- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)- 1+ years of data engineering experience ...

We are looking for a highly analytical Business Intelligence Engineer to join Amazon’s Global Accounting Business Intelligence and Analytics team. The Accounting BI team supports the global Accounting organization with process automation/improvements, developing automated reporting solutions/tools, and improving the ability of the accounting organization to process, analyze, access and consume accurate and timely financial data. The team supports the global accounting organization and partners closely with accountants and financial analysts supporting the various businesses and industries Amazon operates in. The ideal candidate thrives in a fast-paced environment, relishes working with ambiguity, big data, and enjoys the challenges of highly complex business context. This role requires an individual with excellent analytical abilities, deep knowledge of business intelligence solutions, and the ability to quickly learn, adapt and work with a variety of technologies. Key job responsibilities- Collaboration and partnership with Accounting and software development teams driving enterprise level projects- Contributing to the design, development, and maintenance of multiple scalable solutions supporting internal/external global stakeholders- Coordinating project prioritization with multiple stakeholders, managing and executing competing priorities from end to end within defined timelines- Supporting the global accounting organization with various ad-hoc reporting, analyses, and data processing needsBASIC QUALIFICATIONS- Bachelor's degree- 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) ...

Do you have a desire to make a major contribution to the future in the rapid growth environment of Cloud Computing? Amazon Web Services is looking for a Sr Business Intelligence Engineer to help build a scalable, predictive, and prescriptive business analytics platform that supports the AWS Infrastructure Supply Chain Finance (SCF) organization. You will be part of the Finance Analytics team working with Business Analysts and Data Engineers to achieve our goals.You will have a passion to dive deep, a high level of customer focus and a track record in process improvement. This role requires an individual with excellent analytical abilities, strong knowledge of business intelligence solutions and the ability to work with Finance, quantitative and business teams. You will lead multiple automation and controllership initiatives across the Finance org. You will be primarily using but not limited to AWS solution stacks like Redshift, S3, Glue, Lambda, Data pipeline and reporting tools such as Tableau and Alteryx/KNIME to implement BI solutions.Key job responsibilities Develop and implement scalable and reliable analytics, tools, KPI dashboards, and metrics that drive key supply chain, financial, and procurement decisions. Design and implement metrics dashboards to deepen understanding of cost structures, capital spend, and variances highlighting opportunities for improvement. Collaborate with Finance, Tax, Supply Chain, Procurement, and Engineering to capture requirements and deliver analytics solutions. Develop and implement analytics to continually improve continuity of supply and operational efficiencies. Apply automation so that with every iteration on a problem, you build your solution to have maximum scale and self-service ability by stakeholders. Understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use. Recognize and use advanced analytical techniques to recommend prescribed/ optimized courses of action to users. Interface with Data Engineers, Business Analysts and stakeholders to deliver complete BI solutions. Employ data mining, segmentation, and other analytical techniques to capture important trends in the supply chain, cost, and customer base. Participate in strategic and tactical planning discussions to interface with business customers, gathering requirements and delivering complete reporting solutions.BASIC QUALIFICATIONS- 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- Knowledge of data warehousing and data modeling ...

Are you excited about applying your data engineering skills in a top-tier business impacting millions of customers? Our Fire TV mission is to make watching TV effortless and fun for customers to enjoy all of their entertainment, so it becomes part of their daily habit for relaxing, being entertained, and spending time with family and friends. Fire TV is the #1 best-selling streaming media player in the U.S. Our mission is to make watching TV effortless and fun for customers. The staggering amount of data we process from multiple sources to work towards achieving our mission of requires the skills of an experienced and motivated Data Engineer. The successful candidate will work in our Data Science & Analytics team to help set new standards in data processing capability and data availability for our Device Sales & Customer Engagement business units. You’ll be working with Amazon-scale Big Data stored in a variety of locations including data lakes, Redshift clusters and cloud storage, helping us to bring in new datasets that will further inform our business decisions. You’ll do this while maintaining the highest levels of data accuracy, integrity and privacy, allowing us to explore new ways to engage and delight our customers and continue our success. Your opportunities with our team will include: - Working with multiple stakeholders and a variety of tools across Amazon to apply best-practice processing for very large volumes of data - Administering our AWS-based infrastructure - Analyzing, improving and maintaining the performance of our data infrastructure - Designing and implementing solutions to ensure compliance with the latest privacy laws & regulations - Developing custom tools to enhance regular workflows for analysts, BIEs, Data Scientists and managers - Defining and enforcing stringent data quality standardsBASIC QUALIFICATIONS- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience mentoring team members on best practices ...

As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments. You will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You will be managing multiple Redshift clusters that support reporting needs for the transportation org. You will be exposed to cutting edge AWS big data technologies. You should have excellent business and communication skills to be able to work with business owners and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate.Key job responsibilities- Design and develop the pipelines required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python and AWS big data technologies.- Oversee and continually improve production operations, including optimizing data delivery, re-designing infrastructure for greater scalability, code deployments, bug fixes and overall release management and coordination.- Establish and maintain best practices for the design, development and support of data integration solutions, including documentation.- Work closely with Product teams, Data Scientists, Software developers and Business Intelligence Engineer to explore new data sources and deliver the data.- Able to read, write, and debug data processing and orchestration code written Python/Scala etc following best coding standards (e.g. version controlled, code reviewed, etc.)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) ...

Amazon is investing in building a customer centric, world class advertising business. In this role, you will be on the cutting edge of developing publisher solutions across Streaming Video, Streaming Audio and Display Advertising. These are nascent, high growth areas, including Amazon’s Prime Video, Alexa, Amazon Music, and new acquisitions in Podcasting, where scalable, programmatic Ad publisher solutions are critical to business success.As a Senior Business Intelligence Engineer for Supply Forecasting, you will have an enormous opportunity to impact the customer experience and business of cutting-edge products and services. You'll be a key member of a growing organization's strategy of how to measure and improve the things that matter most to our customers. You will work with product leaders to analyze feature launches and engagement trends to generate key insights for future improvements. You will work with engineering teams to make sure that we have the data that helps us measure what matters most. Most importantly, you will work across teams to drive alignment of key metrics and performance indicators and set goals that help our teams achieve our long-term visionA successful candidate is highly analytical, able to work extremely effectively in a matrix organization, and adept at synthesizing a variety of technologies and capabilities into products that Advertisers love. You must engage with customers to deeply understand their current and emerging needs. Publisher Technology at Amazon is rapidly evolving and you must develop customer insight to identify solutions and invent on behalf of the customer. We are looking for someone customer obsessed and technology savvy - with a passion for advertising. The ideal candidate will have a well-rounded technical background as well as a history of leading complex, ambiguous projects end-to-end.Key job responsibilities• Own the design, development, and maintenance of ongoing performance metrics, reports, analyses, and dashboards to drive key business decisions• Transform data into actionable insights and influence the direction of the business by delivering automated insights and high-quality metrics dashboards.• Partner with Data Engineering to define data models to develop streamlined automated data and analytical pipelines.• Engage and collaborate with stakeholders to design and develop high quality metrics and dashboards that effectively track evolving business initiatives.• Present and communicate findings and recommendations to product and leadership team.• Engage with leadership and diversified stakeholder groups to understand data needs and recommend Business Intelligence solutions.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 ...

Strategic Sourcing team in Supply Chain Optimization and Technology organization, is seeking an experienced and motivated Business Intelligence Engineer. Strategic Sourcing team owns systems that are designed to: 1) reduce end to end costs from inbound supply chain and (2) improve vendor performance. Some of the key decisions that these systems make: when and if we should source a product (e.g. is the product obsolete or temporarily unavailable); from which vendor and at what cost we should source an ASIN; what is the ideal supply chain setup (e.g. Pallet, Truckload, etc.) for an ASIN/vendor; when should vendor ship/deliver inventory to Amazon FCs; which inbound lanes – vendor warehouse to Amazon FC – should have pre-allocated transportation with how many shipments; when should we penalize vendors for defects/infractions through chargebacks and by how much. Together these set of decisions and systems work together to ensure Amazon’s inventory needs are met on time and in the most efficient way. We develop sophisticated algorithms that involve learning from large amounts of data to drive decisions that impact sourcing of $100B+ inventory WW.Key job responsibilitiesIn this role, you will develop and maintain a diverse portfolio of business intelligence products, tools, and services. You'll collaborate closely with product and tech teams to identify opportunities for innovation and improvement. Your responsibilities will include conducting in-depth analyses and creating comprehensive reports to support business decisions and strategic initiatives. You'll contribute to projects that span across Retail and Operations departments, aligning your work with S-Team and OLT goals to drive company-wide success. Candidate in this role should excel at diving into data in order to analyze root causes and implement simple, long term solutions. They will thrive in a highly collaborative, creative, analytical, and fast-paced environment oriented around building the world’s most flexible and effective supply chain. To stay at the forefront of the industry, you'll need to keep up current trends and best practices in business intelligence and data analytics. Additionally, you'll play a crucial role in mentoring team members and sharing knowledge to foster a culture of continuous learning within the organization.BASIC QUALIFICATIONS- 5+ years of SQL experience- 5+ years of professional or military experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with AWS technologies- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Experience with theory and practice of design of experiments and statistical analysis of results ...

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 these questions and you’ll fit right in here in Mechatronics and Sustainable Packaging Integrated Systems team. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t imagine yet. We invent new improvements every day.The packaging and sustainable packaging group develops robotic material handling products that increase the safety and efficiency of our fulfillment operations. Our products are deployed across the Amazon Fulfillment Network, automating material flow to reduce operational costs, increase throughput, and enable consistent quality. Our workcells are integrated into broader solutions for storage, packaging, sortation, and transportation of items and packages.MSP is seeking a Sr. BIE to join a dynamic new data team that provides leadership for concept development, architecture, design and testing of robotics systems and industrial equipment. This is an opportunity to make your mark and shape how the team accesses, utilizes and distributes data that continues to inform critical decision making within the organization. You’ll work closely with Business Intelligence Engineers, Data Scientists, Product Managers, Systems Engineers and more. Key job responsibilities- Write expert-level SQL that extracts actionable insights from some of the world’s largest datasets- Dive deep to help drive key business decisions through data insights and improve a wide range of internal products- Own the design and development of automated solutions for recurrent reporting and in-depth analyses including learning, publishing, and managing our operational business metrics decks- Drive continuous improvement of our analytical processes by automating, scaling, and simplifying self-service support for our customers- Invent new ways to explore our data and work with Product Managers to identify opportunities and transform business problems into defined data and reporting requirements- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modelling, warehousing and building ETL pipelinesBASIC QUALIFICATIONS- 10+ years of SQL experience- 10+ 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 ...