Seattle

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 ...

Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Learn more at https://www.amazon.com/music.In this role, you will contribute to the analytics and insights efforts for the marketing attribution project for Amazon Music. You will develop the analytics roadmap and direction for the project, working closely with marketing stakeholders and other Amazon partners to deliver self-service solutions, insights, learning white papers and models to advance our analytics and science offerings. You will also be part of a full stacked team of business intelligence engineers, data engineers, and scientist whom you will be able to collaborate with and learn from. The ideal candidate must be willing to effectively contribute to analytics solutions, prioritize across multiple stakeholders and projects and be ready to jump into a fast-paced, dynamic and fun environment.Key job responsibilities• Contribute to the analytics and insights efforts for the marketing attribution project for Amazon Music.• Work as the internal analytics consultant for marketing teams and collaborate on long-term strategy together.• Define and deliver reporting and visualization that supports the analytical needs of internal business leaders.• Drive self-service solutions for senior business stakeholders informing marketing investment decisions.• Use analytical insights to help increase business and team effectiveness against key strategic goals.• Build a thorough understanding of the streaming music industry, the subscription business model, and key internal partners across Prime, Amazon devices, media and entertainment businesses.• Partner with analytics and science teams across Amazon entertainment and subscription businesses.• Educate and evangelize across internal teams on analytics, insights and measurement by writing whitepapers and knowledge documentation and delivering learning sessions.BASIC QUALIFICATIONS- 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- Experience of analyzing and unterpreting data with Redshift, Oracle, NoSQL etc. experience ...

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Do you want to be an integral part of the world's transition to the cloud? The AWS Analytics and Data Solutions (ADS) team is seeking for a Business Intelligence Engineer (BIE) with a combination of superior analytical abilities, business acumen, business judgement, curiosity, technical skills, and written and verbal communication skills to join our team.Data-driven decision-making is at the core of Amazon’s culture and people who are exceptionally talented at analyzing large sets of data to build insights are critical. Your work will directly impact the decisions and strategy of the entire AWS Infrastructure Services org and our customers. You will be gathering customer needs and insights, mining large and diverse data sets from across AWS Infrastructure, building visualizations and tools for our business partners, generating insights to help senior leaders make critical business decisions. Hence, the successful BIE will not only possess the expertise and passion for analyzing data, designing metrics to measure the performance of the business, and building reporting capabilities and tools, but also will interact directly with business leaders and teams that rely on the metrics and analyses that they produce.The business intelligence engineer must be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail), and enjoy working in a fast-paced, dynamic environment. If you are excited about data, are results-oriented, and want to join a growing analytics team within Amazon - this role is for you! Key job responsibilities - Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support the needs of the business. - Apply deep analytic and business intelligence skills to extract meaningful insights and learning from large and complicated data sets. - Be hands-on with ETL to build data pipeline to support automated reporting. - Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc analyses to support future improvements or innovations. This will require data gathering and manipulation, problem solving, and communication of insights and recommendations. - Build various data visualizations to tell the story of business trends, patterns, and outliers through rich visualizations. - Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.About the teamWhy AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Amazon Web Services is seeking a Senior Business Intelligence Engineer for Infrastructure central finance (ICF) team. As an Amazon Senior 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.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 finance, 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; build solutions to have maxi-mum scale and self-service ability by stakeholders• 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, vali-dation, and documentation• Learn new technology and techniques to meaningfully support product and process innovationBASIC QUALIFICATIONS- 7+ years of professional experience- 5+ years of SQL experience- Proficient in theories, experimental design and statistical a concept for deriving insights form large – scale data analysis- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Ability to operate successfully and independently in a fast-paced environment.- Comfort with ambiguity and eagerness to learn new skills.- Bachelor’s degree in Statistics, Economics, Math, Finance, Engineering, Computer Science, Information Sys-tems, or a related quantitative field. ...

At Amazon, we're on a mission to make Kindle the world's favorite way to read. We set audacious goals and are looking for an experienced Business Intelligence Engineer to join our Reader Analytics team and help us reach and exceed them.We are seeking an analytical, results-oriented, and customer-focused Business Intelligence Engineer to develop business metrics and generate insights that will inform our strategy and user experience. In this role, you will lead complex data initiatives and high-visibility projects, provide actionable insights, and partner with senior stakeholders across the Kindle Experience organization to set the direction for Kindle's data-driven initiatives. Your insights and solutions will drive key decisions affecting millions of readers worldwide.Key job responsibilities* Analyze complex data to tell the story of business trends and performance patterns, and outliers through clear documentation and rich visualizations* Build solutions and data visualizations to effectively communicate business trends and performance patterns* Lead complex, high-impact data analysis projects to identify opportunities for product and business improvements* Write high-quality, optimized SQL to retrieve and analyze data from relational databases (e.g., Redshift, MySQL, S3)* Collaborate with cross-functional teams to design and implement ETL data pipelines for processing billions of records* Create user-friendly, repeatable reporting solutions and self-service dashboards to minimize ad hoc requests* Define and develop business-critical metrics, reports, and key performance indicators* Drive seamless data reporting and insights to enable data-backed decision-making in MBRs/QBRs/OP1 discussionsA day in the life* Work with stakeholders to understand and design analytical solutions on major projects* Seek opportunities to streamline existing process and automate for efficiency* Attend team standup to go over existing development, blockers and help troubleshoot issues* Continue to adopt new technologies that benefit businessBASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Are you driven by the excitement of unraveling intricate data puzzles? Does your DNA resonate with collaborative problem-solving? Do you thrive on witnessing the ripple effects of your contributions in the larger scheme of things? If you've nodded along to any of these questions, welcome to Clarity team! We're not just a team; we're a dynamic cohort of engineers dedicated to leveraging cutting-edge innovations for Amazon's PXT Business Analytics tools and software. Together, we confront tangible challenges head-on, poised to revolutionize customer experiences in unforeseen ways. Every day, we embark on a journey of invention, pioneering fresh solutions that shape tomorrow's landscape.Our mission is clear: to harness the power of people data and empower PXT and people leaders to make decisions that steer Amazon towards its goal of becoming Earth’s Best Employer. We specialize in building features that streamline data gathering and analysis for PXT users, freeing up more time for action and removing barriers for Amazonians.We are currently seeking a talented and motivated Business Intelligence Engineer to lead the design, development, and testing of data pipelines and a centralized data store for people metrics data. Within the PI data services team, you will champion frameworks that empower our internal customers to seamlessly create data pipelines and ETL workflows. The ideal candidate possesses a robust understanding of data modeling concepts, complemented by a foundational grasp of Data Viz. Continual acquisition of expertise, iterative approaches, and adaptability are key facets of this role. We seek individuals deeply committed to pragmatic problem-solving and unafraid to pioneer new territories. Your ability to craft extendable designs and maintainable technical solutions while keeping long-term visions in focus will be paramount. If you can dream it and justify it, we're ready to explore it together. Join Clarity, where we equip you with the tools and encouragement to co-create in an environment that's not just rewarding and fulfilling, but also incredibly fun.Key job responsibilities- Design and build business critical, highly available data pipelines in a stable, low cost model.- Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to leadership.- Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.- Monitor metrics, analyze data and partner with internal teams to identify process, system improvement opportunities and come up with BI solutions.- Internalize our customer challenges and derive creative solutions which apply new and innovative technology.- Work directly with customers to integrate new data types, equipment, and incorporate feedback.- Partner with Data Engineering to enhance data infrastructure, data availability, and broad access to customer insights- Apply best practices including coding standards, code reviews, source control management, agile development, build processes, and testing.- Actively support and foster a culture of inclusion.A day in the lifeSuccessful candidate would have extensive experience working with big data, building data warehouses and data processing services. They are effective at seeing data patterns and building generic data solutions to improve user experience.About the teamOur mission is to harness the power of people data to empower PXT and people leaders to make decisions that help Amazon become the Earth’s Best Employer.BASIC QUALIFICATIONS- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience 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 with data visualization using Tableau, Quicksight, or similar tools- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business- Experience in Statistical Analysis packages such as R, SAS and Matlab ...

At Amazon.com we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon’s Consumables Category Productivity team is looking for an analytical, driven, and creative leader to drive strategically important operational initiatives through business intelligence and leveraging the power of data analytics.The Business Intelligence Engineer (BIE) is an innovative, results driven professional that executes continuous improvement through data-driven actions. The individual must exercise strong judgment and autonomy in the identification and execution of strategic improvement plans built on cross-Category, Technology, and Operations partnerships. This role will impact and inform how Amazon executes Consumables businesses across the NA Store. The individual should possess a track record of successful relationship management, strong business and analytical acumen, and experience working with technology and engineering teams. Great communication skills, ability to think big and influence cross Amazon teams and high ownership to deliver successful results will be essential.Key job responsibilities• Creating new reporting to inform business reviews, deep dive analyzer tools, and more emerging strategy efforts.• Improving auditing tools to understand relevant inputs and identify gaps in technology systems to support creation of new capabilities to drive business operating leverage.• Building insights-oriented visualization tools in Quicksight or Tableau to enhance existing ways of work for category leaders, vendor managers, finance partners, and stakeholder partner teams.• Challenging existing process and work streams with data-driven insights that offer alternatives that are cost neutral, or favorable, but drive much more scalable execution.• Partnering across Consumables teams as well as central teams to create an intelligence roadmap that addresses core areas for automation, scale, and business financial productivity.• Scaling roadmap and solutions across categories by ensuring cross-company impact is measured and supported by stakeholder businesses.• Understanding the value chain within the broader Amazon.com site experience to inform new insights on customer engagement.• Developing a knowledge repository for Consumables data intelligence as part of an evolving center of excellence that can be referred to outside of US Consumables.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 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 ...

Are you passionate about transforming data into actionable insights? The Customer Service Security - Application Security team seeks an innovative and results-driven Business Intelligence Engineer to join our team. In this role, you will transform data into actionable insights, leveraging cutting-edge data products to drive high-impact security decisions. You'll dive deep in our data, identify root causes, and think ahead to uncover new patterns and opportunities. Collaborating closely with security engineers and software development engineers, you will use data to guide the resolution of security issues. Join us today to enhance Amazon's security posture through data-driven solutions and play a key role in shaping our data-informed security strategy.Key job responsibilities1. Develop robust, extensible, and scalable Business Intelligence solutions for security problems.2. Create and refine data strategies, making technical trade-off decisions for short and long-term requirements.3. Bridge communication between business and engineering teams to provide actionable insights into business performance.4. Conduct ad-hoc investigations to support future improvements and innovations.5. Gather and manipulate data, solve problems, and communicate insights and recommendations clearly.6. Write high-quality SQL queries and Python code to retrieve and analyze data efficiently.7. Build compelling data visualizations that illustrate business trends, patterns, and outliers.8. Stay current with BI tools, technologies, and best practices to continually improve solutions.About the teamThe Customer Service Security - Application Security team provides proactive security guidance and support to an Amazon business unit. We address security early in the software development lifecycle by providing guardrails and paved paths. We also bridge gaps between application security and software engineering by advocating for secure coding standards, automating processes, and developing reusable security solutions leveraged company-wide. We stay ahead through continuous research into emerging threats and adoption of new techniques and best practices. Our collaborative environment encourages diverse perspectives and continuous learning to shape cutting-edge strategies that protect customer data while delivering reliable, trusted services.ABOUT AmSec:Diverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why Amazon Security At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Inclusive Team Culture In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training and Career growthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Are you interested in building highly impactful business intelligence (BI) solutions in a mixed team of BIEs, Data Scientists, Data Engineers, and SDEs? If so, you should consider a role in AWS Hardware Engineering Services.We are responsible for designing, qualifying, and maintaining server solutions for AWS and its customers. The Data Science and Analytics team supports the broader Hardware Engineering organization by acting as conduits between the data and the business. As a Business Intelligence Engineer in our team, you will support the design, implementation, and delivery of BI solutions in a complex problem space that has a long-term impact on a business, organization, and technology. You will gain exposure to both Data Science and Data Engineering disciplines, while developing your technical skills and leadership ability. The ideal candidate will be experienced in the areas of data and business intelligence systems. You have a demonstrated record of driving new analytical solutions from inception to launch. You are highly skilled with SQL, have experience developing ETL processes, understand data visualization tools such as QuickSight, and have familiarity with at least one scripting language.About the teamAmazon 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.Amazon Web Services (AWS) values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 5+ years of experience in analyzing, interpreting and reporting data- 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- Experience working directly with business stakeholders to translate between data and business needs ...

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.As a Business Intelligence / Data Engineer you will enable data-driven decision making within the Amazon Web Services Data Center Infrastructure Operations organization.The Infrastructure Operations Team is responsible for planning, implementing, monitoring and continuously improving the global Amazon Data Center infrastructure. The team supports all aspects of the Data Center based organizations, including but not limited to : Safety, Security, maintenance, daily operations, logistics, engineering and equipment management. You will be developing, implementing and maintaining the information data warehouse, and utilizing insight platforms, to enable decision support systems for the overall organization. You should have excellent business and communication skills, and be able to work with business owners to understand their data and reporting requirements. Above all, you should be passionate about working with huge data sets and be someone who is able to bring data sets together to answer business questions and drive growth. You will build ETLs to ingest the data into the data warehouse and data lake, as well as end-user facing reporting applications. You will primarily support teams within the Infrastructure environment, but will also have opportunities to support teams in the overall Amazon Web Services community.You will work with business customers and development teams to define analytics requirements and then deliver flexible, scalable, end-to-end solutions. You will have an opportunity to work with big data and emerging technologies while driving business intelligence solutions end-to-end: business requirements, data modeling, ETL, metadata, reporting, and dashboarding. You should have expertise in the design, creation, management, and business use of large datasets.Key job responsibilities- Passion for storytelling through the visualization of data. We are looking for someone who obsesses about the user experience and who excels in driving business outcomes through the dashboards they develop. - Experience with Tableau or similar visualization/dashboarding platforms like PowerBI, QlikView, Google Charts, Amazon QuickSight, etc.- Moderate to Advanced SQL skills. Skill with aggregate functions, joins between three or more data sources, window functions, and query optimization.- Experience in building presentation layers for reporting dashboards in SQL. - Ability to design and build tables for staging and presentation, outside of the visualization software, in AWS Redshift or other similar Data Warehouse (DW) platform. - Knowledge and understanding of data modeling and data design, e.g. fact and dimension tables, snowflake and star schema, etc.- Experience in building automation to extract data from a Data Lake/Data Warehouse into visualizations. - Optimizing large volumes of data through organization of building views and tables with business metrics and KPIs, and creating scheduled, recurring jobs to load data into the visualization environment.- Excellent communication skills, verbal and written.- Experience leading projects, interacting with customers and stakeholders to deliver successful dashboard products.About the teamAmazon 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.Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Knowledge of SQL and data warehousing concepts- 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- Experience with Airflow DAGs for ETL ...

Do you thrive on obsessing about our data and think around the corner to transform data into new insights and leverage best in class data products and solutions to make high-judgement decisions ? Are you looking for an opportunity to build data analytics and insights that put people first? The Security Issue Management engineering group, part of Stores Security, is looking for an innovative, passionate, and outcome-oriented Business Intelligence Engineer.What we doThe Security Issue Management team builds solutions that keep Amazon systems and data secure on behalf of the Amazon customer. Our customers range from security engineers who need a comprehensive understanding of Amazon systems and their security state, to service teams who need solutions that make it easy to build and operate secure systems. We use the latest technology, including AWS, to solve security problems at Amazon scale. We employ automation and machine learning to reduce, or eliminate, manual effort to help our internal customers raise the security bar. We have bold goals to stay ahead of the curve on security and delight our customers with intuitive and effective products.Key job responsibilities- Provides robust BI solutions for complex problems, that are extensible and scalable.- Understand high-level business objectives and continually align work with those objectives to meet needs of business- Refine data strategies that cut across functional teams and make technical trade-off decisions for long term/short-term needs.- Learn and understand a broad range of Amazon's data resources and know how, when, and which to use and which not to use- Serve as liaison between the business and engineering team to achieve the goal of providing actionable insights into current business performance, and ad-hoc investigations to support future improvements or innovations. This will require data gathering and manipulation, problem solving, and communication of insights and recommendations.- Write high quality code to retrieve and analyze data and build data visualizations to tell the story of business trends, patterns, and outliers through rich visualizations.A day in the lifeYou will own and contribute to studies that evaluate the customer experience of executing use cases on security issue management services, as well as technology/industry trends and the voice of the customer. You will join an expanding team, leverage your technical and domain skills, and apply a variety of methodologies to drive these studies. You will collaborate with product teams and senior leaders to provide insights and drive improvements that help us achieve our vision to be Earth's Most Customer-Centric Company.About the teamWe are a team of builders that develop products, services, ideas, and various ways of leveraging data to influence product and service offerings to raise the bar in security. Security issue management system is our centralized tool with the goal of becoming the only place our builders need to go to understand and manage their security issues and to drive action on the highest security risk areas of the business as well as for security teams to drive campaigns efficiently and effectively while simultaneously reducing the effort teams spend on security related tasks.Diverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why Amazon Security At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why 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. Inclusive Team Culture In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 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- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field with 3+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL etc ...

We are open to hiring candidates to work out of one of the following locations:Seattle, WA, USAAmazon seeks an experienced Business Intelligence Engineer (BIE) to join the Deny Party Screening (DPS) team. Our mission is to prevent denied parties from transacting with Amazon businesses, including AWS, customers, vendors, sellers, subsidiaries etc. We build automatic mechanisms to detect and prevent prohibited transactions with the denied parties using a diverse set of algorithms and machine learning techniques. We screen over half a billion events every day, integrate with Tier 1 systems and deal with unique scaling challenges. We are still Day 1 and have an exciting road map to build Machine Learning (ML) and Analytics powered detection and resolution systems to help scale Amazon for years to come.In this role you'll own everything from ad-hoc reporting to long term analytical and statistical projects that will affect the effectiveness of the DPS team. You'll work with multiple Amazon Businesses and Functions, work with multiple data sources and a wide range of data technologies (e.g. Redshift,S3,Tableau,Quicksight etc.), stay abreast of emerging technologies, investigate and implement where appropriate.Key job responsibilitiesKey job responsibilities• Interface with business customers to gather requirements, drive reporting or analytic projects to help solve complex challenges.• Design, implement, and support datasets that provide structured data for reporting and analysis.• Develop reports and dashboards across various business teams to drive adoption and increase visibility into key measures of business performance.• Analyze billions of rows of data to find the root causes behind variances and drive business insights.• Investigate and implement new big data technologies to provide automatic resolutions to address business needs.A day in the lifeThe successful candidate will demonstrate good business acumen, experience in developing reports and conducting analysis, strong technical skills and communication skills, an ability to work effectively cross functional teams, and an ability to work in an ever-changing environment.About the teamDiverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why Amazon Security?At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Inclusive Team CultureIn Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.BASIC QUALIFICATIONS- 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 ...

Global Talent Management and Compensation (GTMC) is centrally responsible for creating and evolving Amazon’s talent programs and processes. The Executive Talent Management Analytics team is a team of Business Intelligence Engineers and Data Engineers with a direct impact on 300,000+ Amazonians across all of our businesses and locations around the world. We use employee data to drive the right conversations with S-Team leaders and other executives about how to improve existing talent programs and explore new and developing questions that shape our talent landscape.The Executive Talent Management Analytics team is looking for experienced BI engineer to support the end-to-end business intelligence for new and evolving talent products, proprietary to Amazon. In this role, you will work directly with customers, leaders, and program owners, influencing opportunity identification, product design, data capture, reporting/measurement, and evaluation strategies. You will use existing data/research to identify new challenges and opportunities, as well as data collected through methods you create/define. You will leverage your subject matter expertise and strong written/verbal communications skills to develop reproducible research/analyses shared with PXT analysts embedded across Amazon’s diverse set of businesses. As the end-to-end analyst for the product, you will also build proof-of-concept reporting tools, while scaling ad hoc data access, enabling the product team self-serve and make informed decisions in a fast-paced, ambiguous business environment.Key job responsibilities· Align with leaders and customers to translate business issues into testable hypotheses answerable with data.· Develop and execute analyses to drive talent insights.· Create data capture and measurement strategies that drive business action.· Drive a roadmap from descriptive to predictive analytics, moving routine tasks to self-service for your client group.· Work closely with peers and stakeholders to access, pull, transform, and analyze data from a variety of PXT sources.· Gather new data, and/or creatively use existing data to propose metrics and present them in compelling but easily understood way to a non-statistical audience.· Apply statistical tests to data, including (but not limited to), t-tests, chi-square, and regression.· Compile results in a concise, meaningful, and actionable format and share findings to senior leadership.· Build processes to scale fast and accurate on-demand and ad hoc data/analytical requests for leadership and key stakeholders.A day in the lifeAs 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.Come build the future as a Senior 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.About the teamWork/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.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 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 ...

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.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) ...

At Amazon, we are committed to and invested in Sustainability because it’s a win all around – it’s good for business, the planet, our customers, and our communities. Our Global Corporate Sustainability team manage our social and environmental impacts for Amazon’s corporate offices worldwide. We drive solutions that enable our Amazonians and our business partners within the Global Real Estate and Facilities organization to become more sustainable. We are looking for Business Intelligence Engineer that excels in think big and bias for action to support our sustainability team. In this role you will create the analytics architecture to support our sustainability initiatives across our business including tracking our carbon, waste and water footprint and creating new metrics to embed sustainability into our business functions. The foundational work that you take on will inform strategic, high-visibility initiatives. This role requires both the technical expertise and program know how needed to start something new. In this role you will work closely with program managers, operations teams, sustainability experts and business leaders to set up identify opportunities for improvement and shape strategic recommendations. A successful candidate will have a deep knowledge of business intelligence solutions and possess excellent analytical abilities, and have the ability to work with technology, program, and business teams. They will have passion for data and analytics, be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and entrepreneurial environment, and driven by a desire to help Amazon make the right decisions in sustainability. They will understand sustainability in buildings to be able to source data and develop analysis to identify and measure progress. Key job responsibilities•Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support the needs of the business. Systems might be customer internal-built, or a SAAS solution. •Design and develop the backend data infrastructure that provides value immediately and scales.•Dive deep into our carbon footprint reporting sources, identify gaps and create mechanisms to track ongoing carbon metrics to deliver into the organization.•Apply deep analytic and business intelligence skills to extract meaningful insights and learning from large and complicated data sets.• Be hands-on with ETL to build data pipeline to support automated reporting.•Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc investigations to support future improvements or innovations. This will require data gathering and manipulation, problem solving, and communication of insights and recommendations. Where data does not yet exist, develop the system it will be collected and roll out solutions. •Build various data visualizations to tell the story of trends, patterns, and outliers.•Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.BASIC QUALIFICATIONS- Bachelor’s degree in Computer Science, Engineering, Mathematics or related experience.- 6+ years of relevant work experience in data science, business analytics, business intelligence (BI), or comparable experience in big data environments.- 6+ years of experience in data mining and data-set preparation using SQL.- 6+ years of experience with Tableau Desktop or other relevant data visualization software. ...

The Inventory Controllership team is looking for a Business Intelligence Engineer who is data-driven and detail oriented, to partner in expanding our financial data and reporting systems to support our global inventory financial reporting. You should have excellent business and communication skills to be able to work with business owners and tech leaders to gather requirements, build data pipelines and reports/dashboards/automations to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate. This person must be strategic and have strong analytical skills, robust interpersonal and influencing skills, strong organizational and project management skills, and is a self-starter. They will need to roll up their sleeves, work both independently and collaboratively across teams, and have a high level of ownership and accountability.Key job responsibilities- Learn, publish, analyze and improve management information dashboards, operational business metrics decks and key performance indicators.- Improve tools and processes, scale existing solutions, and create new solutions as required based on stakeholder needs.- Design and automate ETL pipelines for business metrics.- Partner with stakeholders from business, product and operations teams to define priority of BI projects, and reporting / Program Management for BI projects- Performing deep-dives to derive actionable insights; Creating models to predict outcomes and optimize business processes- Building self-service reporting tools and dashboards- Providing SQL support and delivering trainings (SQL, QuickSight, etc.)- Research the most appropriate methodologies for a given analytical problem.- Contribute to key business documents.- Architect and develop scalable data pipelines - Develop new data models and end to data pipelines.- Actively participate in design reviews of related tech products.- Interface with multiple finance and accounting customers, gathering requirements and delivering complete solutions.- Analyze and solve problems at their root, stepping back to understand the broader context.A day in the lifeWork with the largest dataset in Amazon Inventory in the world to drive financial insights, support operations and build analytical solutions for partners which can help drive cost control and decision making. As a Business Intelligence 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 reporting 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, Gen AI and ad-hoc data requests.About the teamInventory Accounting Controllership is one of the most challenging and exciting spaces to work for, with high inventory turnover and being required to seamlessly integrate with the Amazon Fulfillment Tech (AFT) systems for automatic Ingestion inventory activities for proper accounting to keep our books complete and accurate. BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience working directly with business stakeholders to translate between data and business needs- Experience in discovering business requirements and creating insightful dashboards tailored for various levels of the organization, including senior leadership.- The successful candidate will be able to deliver products that exceed customer satisfaction, ensure data accuracy and completeness, automate manual tasks and develop efficient data pipelines. ...

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 ...

Do you want to work on a global project of critical importance to the future of Amazon, tackling real never-been-done-before challenges of remarkable complexity? Do you enjoy fusing marketing, customer experience, and technical skills to create a holistic, data-driven picture? If so, the Amazon MODE (Media Operations, Data, and Execution) team is seeking an enthusiastic and skilled Business Intelligence Engineer to join our global, cross-functional team. As the Business Intelligence Engineer, you will play a pivotal part in establishing a standardized data platform with clean, reliable, and accessible data feeds. This platform will support the functional areas of cross-channel media strategy and planning, buying, marketing operations, campaign reporting, and measurement. By providing trustworthy data, technology, and tools, you will empower the business to become more data-aware and make informed, data-driven decisions. In this role, you will collaborate closely with stakeholders across marketing, advertising, finance, engineering, legal, and product management. If you are excited by the prospect of tackling complex, ambiguous challenges and driving the development of new media planning and campaign lifecycle products and features, we encourage you to apply for this transformative opportunity.Key job responsibilitiesDesign, develop, and oversee the reporting pipelines to onboard agency managed media metrics into reporting and measurement tool, using appropriate technologies (e.g., SQL, Python, Spark, AWS Lambda, etc.)Onboard and monitor the new features for current and future roadmap of RAFT (Reporting and Fast Twitch Insights) and TaCS (Taxonomy and Campaign Spend) for reporting and measurement with data of XCM US campaigns to enable data-driven decision-making Collaborate with stakeholders (marketing, advertising, finance, engineering, science, legal, and product management) to understand business domains, requirements, and expectations Work closely with owners of data source systems to gain insights into their capabilities and limitationsDeliver minimally to moderately complex data analysis to support business needsAdopt best practices in reporting, including ensuring data integrity, designing thorough testing, validating outputs, and maintaining comprehensive documentationA day in the lifeThe successful candidate will demonstrate an ability to influence business owners, support thoughtful decision-making, and adapt to a rapidly-evolving environment. They will collaborate with executives and business units across Amazon, bring excellent verbal and written communication skills, and prioritize the most impactful projects and programs to drive businesses forward. A typical day in this role provides an opportunity of building innovative solutions with large-scale data tools, identifying high-priority work and projects that maximize results for key stakeholders, and solving complex problems that impact company-wide strategic decisions.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 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 developing and presenting recommendations of new metrics allowing better understanding of the performance of the business ...

Quick: A seller is listing a new product on Amazon. They report the product normally lists for $89.99 and that they're selling it for $50. What should Amazon do with this information? Is this price gouging or a terrific price?This is a difficult problem...and it happens more than 2 billion times per day!The Amazon Pricing team is looking for a business intelligence engineer to own analytics our worldwide suite of Price Evaluation tools that answer the hypothetical question posed above and many more like it. As the BIE over our price evaluation tools, you’ll partner with our team of product managers, research scientists, data scientists, data engineers, and developers to build out the next generation of models that Amazon uses to evaluate prices. You will help identify and size false positives or new opportunities that improve upon a suite of tools that are designed to ensure products on Amazon have prices that are factually-based, competitively priced, and not 'too good to be true.' In this role you will identify and drive projects to increase Amazon’s understanding and influence of pricing. You will develop regular business reporting to baseline current performance and deepen our insights across customer segments and product types. You will help to establish measurements that will be used when running experiments to measure the impact of the experiments on price perception. You will help to influence the development of new models that will influence the way we display products. You will collaborate across teams to develop capacity reporting for project and operational overhead for existing and emergent work-flows. You will help define the data pipeline, self-service tools and drive insights that improve our Price Evaluation tools. The ideal candidate is a motivated self-starter that can work independently in a fast paced, ambiguous environment with limited supervision. You must be a fast learner who can quickly absorb the nuances of Amazon's varied pricing programs and processes. You need to be analytical in your decision making, with a demonstrated ability to drive issues to completion.The position is located in Seattle, WA.As part of this role you will -1. Work closely with the partner PMs, Data engineers and Data Scientists to identify and address issues and opportunities.2. Facilitate and manage the Pricing Eligibility Services BIE sprint planning and execution process3. Analyze key metrics to uncover trends and root causes of issues.4. Build metrics to measure key inputs and output metrics that drive Amazon price perception5. Develop deep dive tools for key metrics.BASIC QUALIFICATIONS- 5+ 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 ...