Business Intelligence

Have you ever ordered a product from Amazon and been amazed at how fast it gets to you?Every day Amazon engineers are relentlessly working to decrease the time between Click to Deliver for your products. The Amazon Fulfillment Technologies (AFT) team owns all of the software and infrastructure which powers Amazon's world-class fulfillment engine. Our team in the Seattle office is building complex, massive data systems to capture data during every step in the automated pipeline and use that data to proactively predict efficiency and cost improvements to deliver the packages fast to our customers.Key job responsibilitiesAs an Amazon.com Big Data Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should be skilled in the architecture of DW solutions for the Enterprise using multiple platforms (RDBMS, Columnar, Cloud). You should have experience in the design, creation, management, and business use of extremely large data-sets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. Above all, you should be passionate about working with huge data sets and someone who loves to bring data-sets together to answer business questions and drive change.As a Big Data Engineer in this role, you will develop new data engineering patterns that leverage a new cloud architecture, and will extend or migrate our existing data pipelines to this architecture as needed. You will also be assisting with integrating the Redshift platform as our primary processing platform to create the curated Amazon.com data model for the enterprise to leverage. You will be part of a team that builds the next generation data warehouse platform and to drive the adoption of new technologies and new practices in existing implementations. You will be responsible for designing and implementing the complex ETL pipelines in data warehouse platform and other BI solutions to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision-making at Amazon.com.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 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.Platform Engineering & ServicesAFT’s Platform Engineering & Services team leverages data, process improvement, and innovative technologies to provide comprehensive engineering excellence services/solutions across AFT’s product portfolios.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

Amazon Robotics develops state-of-the art robotics for Amazon’s Fulfillment Centers, which handle more individual items than any company in the world. We are combining computer vision, mobile robots, advanced end-of-arm tooling and high-degree of freedom movement to solve real-world problems at huge scale. Our team collaborates with a variety of customers across Amazon worldwide to conceive, develop, prototype and deploy a wide range of robotic systems. Within Amazon Robotics, Global Operations - Artificial Intelligence (GO-AI) enables Amazon to accelerate and scale our machine learning transformation via human-in-the-loop support. GO-AI’s Technology & Development Team is a cross-functional team of Business Intelligence Engineers, Data Engineers, Software Developers, and Technical Program Managers who are responsible for the technical strategy and delivery for GO-AI. Key job responsibilities• Support leadership decision-making by deep-diving into business hypotheses and anecdotes. • Design and automate ETL pipelines for business metrics. • Design insightful dashboards and reports for a senior leadership with a mixture of technical and non-technical backgrounds. • Research the most appropriate methodologies for a given analytical problem. • Contribute to key business documents. • Collaborate with stakeholders to understand business domains, requirements, and expectations. • Work with owners of data source systems to gain insights into capabilities and limitations.• Manage the timeline and deliverables of projects, anticipate risks and resolve issues. • Adopt best practices in reporting: data integrity, test design, validation, and documentation. • Have knowledge of Artificial Intelligence (AI) / Machine Learning (ML) and other industry solutions in this space to know when to apply what to solve business problems. • Excellence verbal and written communication skills. 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) 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!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- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience building ETL pipelines and processes with large datasets- Experience using SQL to pull data from a database or data warehouse- Knowledge of data warehousing and data modeling- Bachelor's degree in engineering, computer science, mathematics, economics or relevant field ...

The Amazon Web Services (AWS) Identity team is building and operating the identity, authentication, and authorization stack for the AWS cloud. In our quest we are pushing the technology boundaries in building a trusted and highly reliable architecture that provides the controls for massively scalable and globally distributed systems that exist both in AWS as well as in our AWS customers services.Key job responsibilitiesWe are hiring a Business Intelligence Engineer (BIE) to help us accelerate our efforts in delivering delightful Identity capabilities. This person will build new business intelligence solutions end-to-end. The ideal candidate will be passionate about working with big data sets and have the expertise to utilize these datasets to answer business questions and drive growth.The primary responsibilities of this role include:• Design, develop and maintain scalable, automated, user-friendly reports and dashboards that will support our analytical and business needs.• Use analytical and statistical rigor to solve complex problems and drive business decisions.• Write high quality SQL code to retrieve and analyze data from database tables (ex. Redshift), and learn and understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use.• Work closely with product stakeholders and partners in driving product decisions by being the voice of the customers, through data.About the teamOur team puts a high value on work-live 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.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 ...

Selling Partner Support (SPS) is responsible for creating a trustworthy shopping experience across Amazon stores worldwide by protecting customers, brands, selling partners and Amazon from fraud, counterfeit, and abuse as well as empowering, providing world‐class support, and building loyalty with Amazon’s millions of selling partners. We value individual expression, respect different opinions, and work together to create a culture where each of us is able to contribute fully. Our unique backgrounds and perspectives strengthen our ability to achieve Amazon's mission of being Earth's most customer-centric company. Amazon’s Perfect Order Experience team, under CTPS, works to ensure that Customers can buy with confidence on Amazon. We develop and implement technology innovations, programs, tools, and policies to protect the buying experience on Amazon while minimizing friction for our selling partners. Our team is constantly innovating on behalf of customers to solve business problems. We are looking for a Business Analyst to help us drive improvements in our A-to-z Guarantee space.A-to-z Guarantee is Amazon’s primary mechanism for protecting customers when they encounter a negative order experience with a third-party seller. We focus on helping Customers easily report a problem when something goes wrong, Sellers to effectively resolve these problems for our customers, and Amazon systems & associates to efficiently adjudicate decisions where we need to step in! Because of the customer experience & financial impact of this product, as well as the opportunities to test integration points upstream, parallel, and downstream – this is an exciting opportunity for a Business Analyst to enter the team, take ownership of the problem space, simplify & reinvent, and help drive exciting results for the program! Key job responsibilitiesAside from heavy involvement in several high-impact initiatives the team is driving towards, key day-to-day responsibilities for this role will include:Detection of Issues & Impact Assessments eg. An issue with the A-Z operational SLA – how large is the problem and what are the upstream and downstream impactsRoot Cause Analyses & Solution Scoping eg. Identify that the miss comes from a forecasting issue and a spike in appeal rates. Propose modified drivers for claims volume forecasts and deep dive improved communication messages to our Selling Partners so they are more aware of our policies. Assess expected impact of these actionsMonitoring & Mechanisms eg. Generate self-serve reporting to ensure the actual impact from the actions are aligned with what was expected (iterating if needed). Integrate these metrics into the right recurring mechanisms to ensure a) future issues can be detected faster or prevented altogether, and b) the right feedback loops exist to continually improve our productsAbout the teamGuaranteed Remediation Experience (GRX) provides Amazon’s primary mechanism for protecting customers when they encounter a negative order experience. We focus on helping Customers easily report a problem when something goes wrong, Sellers to effectively resolve these problems for our customers, and Amazon systems & associates to efficiently adjudicate decisions where we need to step in! Because of the customer experience & financial impact of this product, as well as the opportunities to test integration points upstream, parallel, and downstream – this is an exciting opportunity to enter the team, think big, simplify & reinvent, and help set the future vision for the program!BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders ...

The AMER Data Services Team is seeking a Senior Business Analyst, throughout the Americas to design, develop and manage world-class reporting and analytics that serve and support Worldwide Operations Security, including data interpretation, trending analysis, and overall department initiatives. In this position, you will research data and develop tools in various systems to support AMER and Global initiatives. You will need to interact extensively with cross-functional groups such as database engineering, operations teams, stakeholder groups, software developers and leadership. Excellent listening, writing, verbal communication skills, and strong technical competency are essential. You will build and deliver on-time database platforms and proper integration with other applications and systems through effective web-based development. You must have a desire to drive permanent removal of defects, and ensure highest quality of service is provided in an efficient, effective, and proactive manner.Key job responsibilitiesThe role of a Worldwide Operations Security (WWOS) Senior Business Analyst (BA) is to design and develop data visualization dashboards and tools and provide analyses and insights that serve and support the organizations Global and AMER-wide goals and initiatives. The role requires collaborating with cross-functional groups such as database engineering, operations, Security & Loss Prevention (S&LP) field teams, software development, product and program management.The data, tools and analyses developed by Senior WWOS BAs enable the field and leadership teams to identify key performance indicators, areas of focus and opportunity and are crucial to achieving business specific and organizational goals. Senior WWOS BAs support anywhere from two (2) to four (4) customer groups and work on three (3) to five (5) projects at a time, many of which have AMER region and/or Global impact. Each customer group has various subsets of stakeholders, processes and data flow, making it critical for the Senior WWOS BAs to understand the intricacies of each group to ensure tool and data accuracy. Additionally, Senior WWOS BAs must manage conflicting priorities, communicate barriers, outline timelines and project plans to key stakeholders and have the ability to root cause problems and independently iterate solutions.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 Coverage2. Maternity and Parental Leave Options3. 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 skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! BASIC QUALIFICATIONS- Bachelor's degree- 3+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience- 3+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience- Experience defining requirements and using data and metrics to draw business insights- Experience in financial/business analysis- Experience with QuickSight dashboard and visual creation- Experience making business recommendations and influencing stakeholders ...

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.Are you a passionate Business Intelligence Engineer (BI Engineer) who wants to make a real impact on a big business? Read on!We are looking for seasoned Business Intelligence Engineers to join a BI team in the AWS Support organization. AWS Support, despite the impression that its name (“support”) might give you, is not a typical reactive customer service, but an independent AWS business that provides industry-leading offerings way beyond just “break-fix”. The business has a self-standing P&L and has even yielded revenue larger than most AWS Services. Managing an organization that provides support for ever-expanding AWS product portfolio to millions of customers across the globe is not a simple task and leaders in all functions inevitably need reliable data for their day-to-day operations and strategic decision-makings. The BI team is an integrated core part of the AWS Support operations delivering robust and trustworthy infrastructure to the truly data-driven organization.As BI Engineer, you will work closely with internal stakeholders to define key performance indicators (KPIs) through your deep understanding in support business and operations and implement the KPIs into dashboards/reports that drive the decisions made by senior leadership. The BI Engineers will have opportunities to not just exercise her/his technical skills such as SQL to retrieve data and convert it to simple graphs and tables, but to develop true dashboards that are information-rich and flexible yet intuitive and easy-to-use that help the support leadership quickly discover golden insights to serve AWS customers better. You will let the data answer questions such as “What is high/low quality means at support?”, “Is this particular customer happy with their support experience? “, and “How productive is this support agent versus other agents in the network?” The usage of the data that the AWS Support BI team publishes spans to other AWS teams outside of the organization. Support data serves as one of key leading indicators for new customer demands and for problems yet to be discovered. Such external usage might lead to “next big thing” launched by AWS!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 will be 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.This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph.Key job responsibilities- Understand the problem that's loosely defined or structured. - Provides BI solutions for difficult problems and works on delivering large BI solutions.- Provides solutions that drive team's business decisions and highlight new opportunities.- Improves code quality and optimizes BI processes.- Basic understanding of a scripting language. Knows how to model data and design a data pipeline. Able to apply basic statistical methods (e.g. regression) for difficult business problems.About the teamDiverse 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. Why 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.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 & 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. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. BASIC QUALIFICATIONS- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business- Current, active US Government Security Clearance of TS/SCI with Polygraph ...

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

Amazon Freight is building a disruptive transportation product with the vision of redefining shipping for its customers. The goal is to develop easy-to-use, reliable and transparent transportation services that raise the customer experience bar relative to all existing shipping alternatives. 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 building an exciting new business in this space and seeking a Business Analyst to support data analytics for Amazon Freight’s Less-Than-Truckload (LTL) business. This position requires high judgment, excellent analytical skills and a creative mind to invent solutions that improve the customer experience. It offers broad exposure to various business, operational, financial, product and technical teams across 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- Bachelor's degree in business, engineering, statistics, computer science, mathematics or related field- 1+ years of tax, finance or a related analytical field experience- 1+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience- Experience defining requirements and using data and metrics to draw business insights- Experience creating complex SQL queries joining multiple datasets, ETL DW concepts- Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.- Experience using databases with a large-scale data set- Good oral, written and presentation skills combined with the ability to be part of group discussions and explaining complex solutions ...

Amazon's Trustworthy Shopping Experience (TSE) team strives to guarantee customers a trustworthy shopping and ordering experience so they can shop with confidence on Amazon. Our mission is to deliver a trustworthy experience by eliminating catalog defects, ensuring listings are compliant with our selling policies, ensuring customers receive authentic products in the condition they expect, and protecting them by making things right with our A-to-z Guarantee, in the rare chance that the expectation is not met.We are seeking a highly motivated and detail-orientated Business Analyst to join our team. You will support the analytics and reporting requirements of our investigation products on-boarding process. The ideal candidate will have a passion for data, strong analytical skill and effective communication skill. You will work closely with cross-functional teams and stakeholders to ensure data accuracy and identify key insight in a fast paced environmentKey job responsibilitiesAn ideal candidate for this role:· Will have relevant experience in data analytics working with large data sets and to extract and transform data using various tools and technologies· Will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide· Will use data to support ideas, drive actionable outcomes, and provide unique ways to present data and information in an easy to consume format· Will be passionate about finding root causes, trends, and patterns and how they impact business.· Will draw inferences and conclusions, create dashboards and visualizations of processed data· Will have excellent business and communication skills to be able to work with product owners to understand key business questions to build reports that enable product owners to answer those questions quickly and accurately. Will be very comfortable juggling competing priorities and handling ambiguity. Will thrive in an agile and fast-paced environment on highly visible projects and initiativesAbout the teamShopping Experience Protection Ops (SEPO) Team works to ensure that customers can buy with confidence on Amazon. Our mission is to ensure that every Customer, Brand and Selling Partner is protected from bad actors, and their concerns are resolved real-time. Our mission is to create quick and accurate decisions that exceed the expectations of our Customers, Brands and SPs while protecting them from bad actors. We deliver at scale through technology and expert human judgement. We drive down costs by selectively and efficiently using human judgement where technology is not able to automate.BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 3+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- Bachelor's degree or equivalent- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience with SQL ...

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.Amazon Business represents an incredible opportunity to address a vast new market segment and customer base and is an area of high interest for Amazon. We are focused on building solutions that enable our business customers to find, research, and buy products and services from a vast selection, across multiple devices, marketplaces and regions. These business customers include individual professionals, small businesses to large institutions (and everything in between). The needs of these business customers are different from those of the traditional Amazon customer, so we are reinventing everything from how we display our selection, price our products, provide the right customer experience and offer unparalleled customer support.Key job responsibilitiesAs a Business Intelligence Engineer you will help setup and deliver robust, structured reporting, analytics and models for the Buying Experience teams within Amazon Business. You will be a key contributor to shaping our strategic innovation program by equipping the product teams with the insights into the operation performance. You will evaluate and make decisions around the use of new or existing technologies and tools. We work in an entrepreneurial environment and deliver value incrementally and frequently. We are still in the early stages , so you get the opportunity to be part of ideation stage and deciding the strategy for our growth. If you are a candidate with a strong sense of ownership, passion and drive to delight customers, come join us!BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field ...

Are you excited about the digital media revolution and passionate about designing and delivering advanced analytics that directly influence the product decisions of Amazon's digital businesses. Do you see yourself as a champion of innovating on behalf of the customer by turning data insights into action?The Amazon Digital Acceleration (DA) org is looking for an analytical and technically skilled individual to join our team. In this role, you will play a critical part in developing foundational data instrumentation components to seamlessly surface relevant digital content to Amazon customers.An ideal individual is someone who has deep data engineering skills around ETL, data modeling, database architecture and big data solutions. This individual should have strong business judgement, excellent written and verbal communication skills.Key job responsibilities - Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal BDT tools (Datanet, Cradle, QuickSight etc. - Improve existing solutions and come up with next generation Data Architecture to improve scale, quality, timeliness, coverage, monitoring and security. - Partner with Software Developers, Business Intelligence Engineers, MLEs, Scientists, and Product Managers to develop scalable and maintainable data pipelines on both structured and unstructured (text based) data.A day in the lifeThis team is a dynamic group of data engineering and analytics professionals dedicated to developing innovative data products, providing data-driven services, and empowering the organization with robust business intelligence. Composed of talented individuals from diverse backgrounds, we foster a collaborative culture of excellence, knowledge-sharing, and collective problem-solving.We are committed to staying at the forefront of data trends, continuously expanding our expertise to deliver tailored solutions that address our stakeholders' evolving needs.About the teamAmazon Digital Acceleration powers ordering, subscriptions, and device management for Prime, Amazon Video, Music, Audible, Alexa, and Kindle, amongst other digital businesses. We process billions of digital purchases every year and enable our digital businesses to grow their businesses worldwide. We are on a mission to be earth's best provider of one-time and recurring digital commerce, delivering a seamless and enjoyable post-purchase customer experience.BASIC QUALIFICATIONS- Bachelor's degree- 3+ years of data engineering experience- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data modeling, warehousing and building ETL pipelines- Knowledge of distributed systems as it pertains to data storage and computing- Experience working on and delivering end to end projects independently- Coding proficiency in at least one programming language (Python, Ruby, Java, etc) ...

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) ...

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 work with cross functional teams, 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 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 and highly-motivated BIE 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 DSP programs. You will work closely with engineering & science teams, product managers, program managers, business coaches, capacity planners and org leaders to deliver end-to-end data solutions aimed at continuously enhancing overall capacity planning of DSP programs. In this role, you will dive deep into disparate datasets to improve our understanding of various components involved in Last Mile delivery, build decision-driven analytics to enable DSP growth and increase DSP capacity flexibility and reliability, improve tooling to scale up capacity planning processes across programs, and extract actionable insight to level up plan accuracy and process efficiency.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 scaling data and tech solutions.- Manage and execute analytics solutions end-to-end including project management, data gathering and modeling, problem solving, and communication of insights and recommendations.- Build high quality data architecture and ETL data pipelines using SQL, Scripting and other ETL tools.- 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.- 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.- Partner with scientists to scale and expand science models through model and architecture improvements- Be connected and influential within the Amazon BI and Data Engineering (DE) community. Work with DE and software development teams to enable the appropriate capture and storage of key data points. About the teamWe are the centralized Amazon DSP Analytics team with the vision to build best-in-class analytics solutions to support our internal and external DSP stakeholders and partners for making data driven decisions org-wide. We believe in promoting and using ideas to disrupt the status quo. In our team, you will have the opportunity to dive deep into complex business and data problems, drive high-impact and large scale data solutions and raise the bar for engineering and operational excellence. We have exceptionally talented and fun loving team members, and we love to share ideas and learnings with each other. 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 thrive on developing your team to build and leverage best in class data products and solutions to make high-judgement decisions ? Are you looking for a role where you can have a long-term impact on the technology and business? Do you want to play a key role in shaping the future of small business owners in Last Mile delivery? We are looking for an experienced hands-on technical leader to join Lastmile Delivery Service Partner (DSP) Analytics organization. This role will lead team of Business Intelligence Engineers (BIEs) to drive Data & Analytics for DSP Performance measurement and improvements.As a Sr Business and Intelligence manager, this role will guide the data and analytics team to build and maintain data and reporting solutions, manage data infrastructure, develop and improve analytics products, simplify data access and unlock self-service insights. Through tooling, automation, data analysis and statistical modeling , their team will create solutions and feedback loops to continuously measure KPIs and empower Delivery Associates (DAs) and DSPs to improve their and customer’s experience, sentiment and quality.Key job responsibilities* Work with Product and Program managers, org leaders, SDMs, and Tech team members to to build relevant data products and solutions.* Build a team of BIEs, DEs and Data Scientists to create and support datasets, metrics and KPIs to meet DSP business goals.* In partnership with WW DSP Product & Offer and Transportation Experience orgs, develop relevant and defensible metrics and KPIs that drive and track business strategy.* Define and develop data infrastructure, data products , dashboards and visualizations for key metrics and KPIs.* Drive data governance (data integrity, metrics definitions, and single source of truths, accountability and documentation).* Establish strategic partnership with business stakeholders, build team's 1YP/3YP vision and effectively communicate and drive key initiatives.* Recruit, mentor, and lead a high-performing data team, fostering a culture of innovation, collaboration, and professional growth.* Provide guidance, feedback, and performance evaluations to team members, driving their development and success.* Stay updated with the latest technology trends, methodologies, and tools in Analytics, Data Engineering, and Data Science, recommending and implementing technologies that enhance insight capabilities and efficiencies.About the teamWe are the core Amazon DSP data analytics 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.BASIC QUALIFICATIONS- Bachelor's degree- 10+ yrs in Business Intelligence, Data Science, Data Engineering or Software Engineering role.- 5+ years of experience hiring and leading a Data, BI or Science teams.- Experience leading and influencing the data and BI strategy for their organization.- Experience owning/driving roadmap strategy and definitions.- Experience with feature delivery and tradeoffs of a product.- Experience driving and contributing to engineering, technology and data product strategy decisions.- Experience with SQL, Scripting/Programming (Python, R).- 2+ years’ experience with Tableau, Looker or similar BI Reporting Platform.- Experience with data modeling, warehousing and building ETL pipelines.- Analytical and quantitative skills; experience using data and metrics to test and confirm assumptions, and measure success.- Proven ability to identify, analyze, and solve ambiguous problems with an extreme attention to detail. ...

It’s no secret that Amazon relies on its technology to deliver millions of packages every day to its customers – on time, with low cost. The Middle Mile Supply and Routing Optimization team builds complex software solutions that work across our vendors, warehouses and carriers to optimize both time & cost of getting the packages delivered. Our services already handle thousands of requests per second, make business decisions impacting billions of dollars a year, integrate with a network of small and large carriers, owner operators and drivers worldwide, manage business rules for millions of unique products, and improve ordering and delivery experience for millions of online shoppers. That said, this remains a fast growing business and our technical journey has only started. Our mission is to build the most efficient and optimal transportation solution on the planet, using our technology and engineering muscle as our biggest advantage. We aim to leverage cutting edge technologies in big data, machine learning, and optimization techniques, and operate high volume, low latency, and high availability services. As a member of this collaborative team, you will have an opportunity to make an impact in Amazon Logistics and work with a group of talented program managers, product managers, research scientists, software developers, and business stakeholders to design the Amazon network of the future.As a Sr. Business Analyst, you will operate at the crossroads of multiple complex Amazon systems, getting global visibility of how Amazon moves inventory across out network and serves our customers. Specifically, this role will be responsible for owning our most critical efficiency metrics including: Loaded Drive Time (how well we utilize our capacity), Cost per Block Hour (how well we secured the right mix of capacity based on the expected efficiency), and Cost per Loaded Hour (the combination of Loaded Drive Time and Cost per Block Hour). As a business owner you will be expected to produce weekly metrics and callouts, perform deep dives as new products launch that could impact these metrics, contribute to monthly business reviews with VPs, and build models to forecast these metrics for annual/quarterly planning cycles. These metrics are directly used to drive our financial plan, almost all product features in our space are designed to improve these metrics, and they have VP level visibility. The successful candidate will be voraciously curious about Amazon’s transportation operations and how data consumed and produced by our systems can be used to improve outcomes and lower costs. Your responsibility is to expose and measure the current performance of our systems, find and quantify opportunities for improvement, and dive deep into existing algorithms to explain unexpected performance. We are looking for innovators to be a sophisticated user of data querying tools, and an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication.Responsibilities: - Perform complex analysis and data resarch to identify opportunities to reduce transportation costs through efficiency improvements, eliminate defect, improve customer experience, and support critical business decisions. - Design, develop, and establish KPIs and run complex network simulations to provide strategic insights to drive growth and performance. - Systematically identify data source/forecast error and follow through on the resolutions to ensure that future plans are updated with improved business processes. - Requires ability to perform/own reoccurring and ad-hoc business intelligence projects. - Develop standardized metrics to evaluate and benchmark pertaining to short and long term network planning and forecasting. - Pull and report data from numerous databases (using Excel, SQL and/or other data management systems) and proven capability to dive deep and utilize known research and problem solving techniques. - Communicate complex insights to stakeholders, both verbally and in writing.BASIC QUALIFICATIONS- 5+ years of tax, finance or a related analytical field experience- 3+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience- Bachelor's degree- Experience defining requirements and using data and metrics to draw business insights- Experience with Excel- Experience with SQL- Experience making business recommendations and influencing stakeholders ...

Do you want to join one of the most exciting teams at the world's most customer-centric company? Then come soar with Amazon Global Air (AIR)! AIR is a worldwide, customer-obsessed transportation provider of choice that safely delivers low cost, high quality service. AIR realizes this vision through a talented, inclusive, and diverse team, leveraging innovative technologies and a sustainability-aware mindset.​ Our AIR Data, Analytics and Business Intelligence team fuels AIR's success through data driven decisions. We empower AIR business with actionable insights, advanced analytics, and strategic foresight. By leveraging data as a strategic asset, we enable agility, uncover new opportunities, deliver trusted intelligence and delight our customers.We are looking for an experienced, innovative, and strategic Business Intelligence Engineer who will be comfortable diving into complex problems and using data to recommend business decisions. The ideal candidate will be a self-starter, highly analytical, and intensely detailed with a strong customer focus and perspective to drive strategy in a high-growth, fast-paced environment.Key job responsibilitiesData Collection and Integration:- Gather data from various sources (databases, APIs, files, etc.)- Design and implement data integration processes- Ensure data quality and consistency across systemsData Modeling and Optimization:- Implement ETL (Extract, Transform, Load) processes- Write complex SQLs to convert raw data to meaningful metrics- Optimize SQLs for improved performanceReport and Dashboard Development:- Design and create reports and dashboards using BI tools (e.g., AWS QuickSight, Tableau, Power BI, Looker)- Develop interactive visualizations to present data effectively- Ensure reports are accurate & user-friendlyData Analysis:- Conduct exploratory data analysis to uncover insights- Develop and implement statistical models and algorithms- Perform ad-hoc analysis to answer business questionsCollaboration and Communication:- Work closely with stakeholders to understand business requirements- Translate business needs into technical specifications- Present findings and insights to both technical and non-technical audiencesData Governance and Security:- Ensure data security and compliance with regulationsContinuous Improvement:- Stay updated with the latest BI tools and technologies- Automate processes where possible to increase efficiencyDocumentation and Training:- Create and maintain documentation for data models, processes, and reports- Provide training and support to end-users on BI tools and dashboardsProblem-solving:- Troubleshoot data discrepancies and technical issues- Develop solutions to complex data-related problemsData Strategy:- Contribute to the organization's overall data strategy- Identify opportunities for leveraging data to drive business valueBASIC 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- Master's degree in statistics, data science, or an equivalent quantitative field ...

Join Amazon's Global Logistics team as a Business Intelligence Engineer and help shape the future of our cross-border logistics capabilities. You'll build cutting-edge analytical solutions and data automations that drive efficiency and reliability in our import operations. This role offers a unique opportunity to work with a diverse, global team and make a significant impact on Amazon's supply chain.Key job responsibilities- Design and develop scalable data warehouse solutions and pipelines- Create complex data processing jobs using SQL, Python, and AWS technologies- Collaborate with stakeholders to understand business needs and deliver insights- Conduct advanced data analyses to support decision-making processes- Implement best practices in reporting, analysis, and documentationA day in the lifeYour day begins with a virtual stand-up meeting, connecting with team members across the US and Europe. You dive into analyzing a complex dataset related to import shipment delays, using your SQL and Python skills to uncover insights. By midday, you're collaborating with logistics program managers to translate these findings into actionable recommendations. In the afternoon, you're fine-tuning a Redshift query to improve dashboard performance, then jumping on a call with the data engineering team to discuss integrating a new data source. You conclude your day by documenting your progress and outlining priorities for the following day, ensuring continuous advancement of the team's analytical capabilities.About the teamThe Global Logistics Analytics team is a dynamic group of data enthusiasts dedicated to enhancing Amazon's cross-border logistics. We leverage world-class technologies and internal solutions to increase product selection and reduce costs for customers. Our team thrives on complexity, values continuous learning, and is passionate about using data to drive business decisions.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 Learn more about our benefits here: https://www.amazon.jobs/en/internal/benefits/us-benefits-and-stockBASIC QUALIFICATIONS- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- 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)- Experience with building and maintain basic data artifacts (e.g. ETL, data models, queries) ...

The Brand Experience and Excellence organization creates, builds and leads innovation for brand owners in the Amazon store worldwide. The Customer Acquisition and Loyalty team in this organization focuses on helping Brands engage Customers on and off Amazon, develop a winning strategy for Brands to leverage social media to build stronger brands, and launch great products that resonate with Customers and achieve success.We are looking for a passionate, results-oriented Business Analyst to own defining, building, and scaling metrics and analytical insights. As a business analyst, you will use your analytical mind to drive operations, strategy, and planning. You will ensure that we are capturing and surfacing the right data and information to make informed business decisions, working closely with cross functional members of the team and partner teams. You’ll collaborate with engineers to build self-service reports and establish automated processes for large scale data analyses. You should be analytical with strong business acumen and detail-oriented with proven problem-solving skills.The ideal candidate has worked in depth in identifying business insights through data analysis, including experience extracting and manipulating data using SQL, leveraging BI services such as QuickSight for data analysis, and producing digestible business intelligence and actionable information. The candidate should also have strong communication and project management skills, enabling them to work with key business stakeholders to understand requirements and shape analytical deliverables. He/she should also have a demonstrated ability to think strategically and analytically about business, product, and technical challenges, with the ability to work cross-organizationally.Key job responsibilities• Advanced proficiency in SQL, ETL, data modeling, and working with large data sets.• Establish financial reporting for your business area. Understand input drivers and validate integrity of the reporting to influence strategic decision-making and planning.• Use data to identify disruptive ideas and provide advice to WW business leaders .• Build and drive planning, forecasting, and reporting models.• Use active listening skills intuitively to communicate data (both written and verbal) in a clear, concise, and unambiguous manner. Adjust style for various audiences to articulate complex finance issues clearly. Your communications drive critical business decisions.• Drive use of analytical and operational excellence best practices.BASIC QUALIFICATIONS- 5+ years of tax, finance or a related analytical field experience- 3+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience- Bachelor's degree- Experience defining requirements and using data and metrics to draw business insights- Experience with Excel- Experience with SQL- Experience making business recommendations and influencing stakeholders ...

Fire TV is reshaping the way millions of people watch, engage with, and enjoy entertainment content every day. We are seeking an experienced Sr. Data Engineer who is passionate about using data to surface customer insights that will influence the development of new and improved customer experiences on Fire TV. If you enjoy working with cross-functional teams to deliver robust and scalable analytics and ML solutions to address complex problems, and thrive in a fast-paced, changing environment, then this opportunity is for you. A successful candidate is an expert in Big Data engineering concepts, data architecture design, performance tuning, and data modeling. They are comfortable working independently in an ambiguous and fast- paced environment, and are able to think big while paying attention to detail. They can communicate with both technical experts and non-experts, and have an analytical mindset that helps them connect their work to the needs of their data customers.Key job responsibilities- Collaborate with scientists, engineers, software developers, and business leaders to define data system requirements and provide solutions- Develop robust, scalable and maintainable data systems with a combination of in-house tools and standard technologies (e.g. SQL, Python and Spark)- Build with operational best practices (e.g. dashboarding and monitoring/alarming to ensure data integrity)- Design and implement durable data models for FTV datasets- Protect data to ensure customer trustAbout the teamOur team is part of the Fire TV Experience org and is comprised of Business Intelligence Engineers and Analysts, Data Engineers, and Data Scientists. We take pride in building scalable, reliable, and trustworthy data products that empower our stakeholders to make data-driven decisions to improve the quality of the Fire TV and Alexa products they deliver to customers. We encourage leaders who foster cross-team collaboration and can drive consensus horizontally across teams. We are at our best when we have a deep understanding of how our data directly reflect customer experiences and can be used to surface customer needs.BASIC 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 ...

Do you love books? Do you enjoy reading Manga? Interested in creating a great customer experience for Amazon Japan's Books business? Join us and be a part of making Amazon JP #1 destination for books. The JP Books team is looking for a seasoned Business Intelligence Engineer. The ideal candidate is a motivated self-starter, highly analytical, and detail oriented with a strong customer focus and perspective to drive strategy in a high-growth, fast-paced environment. You must be comfortable working at both strategic level (using customer insights and data to generate innovative ideas for growth) and at tactical level (building dashboards and monthly reports to measure business health). In this highly visible role you will serve as liaison between the business and technical teams to identify, develop, and execute quantitative analyses and provide actionable insights into current business performance.Key job responsibilities- Design, develop and maintain scalable, automated reports, dashboards and user-friendly systems etc. to provide actionable insights into current business performance. - Apply your deep analytic and business intelligence skills to extract meaningful insights and learnings from large and complicated data sets.- Partner with business/economist/software engineering/science teams to consult, develop and implement KPI’s, automate solutions and data infrastructure improvements to support our business needs.- This role will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.- Find scalable solutions for recurring ad-hoc investigations About the teamOur team owns analytics and BI infrastructure across breadth of business areas like Manga, Demand, Supply Chain, Marketing and Vendor management. Each team member owns and acts as subject matter expert for their business area within our organization. We partner with business leaders, product managers and software teams to launch Amazon JP products, gamification experiments and measure success of new strategic initiatives. This is an exciting role where you’ll get to learn different aspects of how Amazon runs a business. BASIC QUALIFICATIONS- Bachelor's degree in sciences, engineering, finance or equivalent- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets- Experience writing complex SQL queries- 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 ...