Business Intelligence

Operations Technology Solutions (OTS) DataTech is looking for an technically astute data manager to join our team. This position will lead a team of talented BI Engineers that will be responsible for realizing business value from the use our Data as a Product platform producing metrics, reports and driving standards. They will work across OTS to support the use of statistical methods to gather, review, and interpret data to solve real-business problems. This position will be a key stakeholder in driving the development of our Unified reporting layer through QuickSight, establishing high level of standards for DataTech and their partners to adhere too and will be an advocate for team building, culture and drive growth opportunities. The candidate should have a solid background of AWS technology through Redshift, Athena, Glue, S3, and knowledge of ETL orchestration through cloud technologies. The BI Manager will work closely with a DE manager to build unified infrastructure for DataTech and for our stakeholders to establish a self-service culture that brings value to all levels of customers.Key job responsibilities• Design data collection tools to establish the ideal statistical methods to gather, review, and interpret research data to derive useful information for the business• Define and utilize statistical methods to solve OTS business and industry specific problems• Research problems and identify the data required to answer specific questions, identifying trends and inter-relations in data• Plans and documents computer data file structure; develops, programs, manages, and maintains complex statistical databases; performs or supervises data entry• Compare provided statistical information to identify patterns, relationships and problems• Prepare detailed reports for management and other departments by analyzing and interpreting data, communicating findings to OTS business partners and stakeholders• Train the technical team how to properly organize findings and read data collected• Create surveys, questionnaires and polls to collect necessary information, and apply sampling techniques to effectively identify and define ideal categories to be questioned• Help influence business strategy for DataTech and for OTS stakeholders/customers and partnersA 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: - Medical, Dental, and Vision Coverage - Maternity and Parental Leave Options - Paid Time Off (PTO) - 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- 7+ years of business intelligence and analytics experience- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience- Experience with SQL- Experience with ETL- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software ...

Are you looking for a role that allows you to shape the future of how sellers sell their products globally with Amazon? Do you like working in a start-up like environment with the opportunity to have a significant impact from day 1? Do you have an insatiable curiosity about why Amazon global stores operate as they do and how Amazon could optimize its global selling business? If so, then keep reading as this could be the role for you.Over 2MM active sellers in 22 countries (and growing) list their products for sale on the Amazon stores. Sellers are a critical part of Amazon’s ecosystem to deliver on our vision of offering the earth’s largest selection and lowest prices. Key job responsibilitiesAs a Business Analyst on Listing Analytics team, you will be responsible for bringing data to the table, specifically seller anecdotes and business metrics. The ideal candidate thrives in working in large and complex data warehouse environments, has excellent verbal and written communication skills, is motivated by developing innovative and simplified solutions to solve complex analytical problems and is passionate about working with large data sets and bringing data together to answer business questions and drive change. These analyses and solutions will be fundamental to finding opportunities and creating new programs aimed at further growing on Amazon stores. In this role you will:• Engage with leadership and diversified customer groups to understand the needs and recommend business intelligence solutions.• Partner with engineering teams to define the data elements and data structures that the team should leverage to develop critical seller experience metrics.• Design, implement, and support platforms that provide business teams ad-hoc access to large datasets for self service deep dives (eg: data visualization tools for non-tech business users)• Interface with business customers, gather requirements and deliver complete reporting solutions.• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.• Participate in strategic & tactical planning discussions• Standardize data and report consumption across all customer groups.• Make recommendations for new metrics, techniques, and strategies to improve the operational and quality metrics.• Be connected and influential within the Amazon analytics community. Work with business intelligence engineer, data engineering, software development teams to enable the appropriate capture and storage of key data points.BASIC QUALIFICATIONS- 1+ years of tax, finance or a related analytical field experience- 2+ years of complex Excel VBA macros writing experience- Bachelor's degree or equivalent- Experience defining requirements and using data and metrics to draw business insights- Experience with SQL or ETL- Experience making business recommendations and influencing stakeholders ...

Senior Business Intelligence Engineer 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. 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.Apply now and you will be eligible for Amazon Senior Business Intelligence Engineer positions that are based on your preferred location, team, and more. We’re hiring across Amazon Stores in the United States and Canada. Teams with available positions include, but are not limited to:• Consumer Technology: Build new generation features and products for amazon.com, constantly improving the Customer and Seller experience for billions around the globe. Whether building site wide features such as reviews and recommendations, category specific software for the likes of Pharmacy, Electronics, Digital Software and Video Games or seller infrastructure, there are a variety of complex problems to tackle using a range of technologies in the design of your technical solutions. • Operations Technology: Shape the future of transportation planning and execution on a global scale, that impacts hundreds of fulfillment centers, thousands of Amazonians, and millions of customers across the world. Your technology will support thousands of operators worldwide to design, build and run the best-in-class Amazon transportation network. We are building intelligent software to make transportation more reliable, faster, and less costly, providing a better and less expensive experience for our customers.• Human Resources Technology: Create a seamless experience for millions of Amazonians and/or candidates. Whether supporting technologies for onboarding, time and attendance, compensation, amazon.jobs, or recruiting, you’ll deliver robust feature sets, elegant designs, intuitive user interfaces and systems that make it easy for Amazonians to excel at performing critical business functions.About Us: Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a better-rounded contributor.Inclusive Team CultureHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Key job responsibilitiesYou will utilize your deep expertise in business analysis, metrics, reporting, and analytic tools/languages like SQL, Excel, and others, to translate data into meaningful insights through collaboration with scientists, software engineers, data engineers and business analysts. • You will have end-to-end ownership of operational, financial, and technical aspects of the insights you are building for the business, and will play an integral role in strategic decision-making.• Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership• Produce written recommendations and insights that will help shape effective metric development and reporting for key stakeholders• Simplify and automate reporting, audits and other data-driven activities; build solutions to have maximum 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, validation, and documentation• Learn new technology and techniques to meaningfully support product and process innovationBASIC 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 ...

At Amazon, we use data analytics to understand and serve our customers better. Our goal is to anticipate and solve customer issues before they arise, using device and digital service data to identify pain points and improve our products daily.The Device, Digital & Alexa Support (D2AS) team focuses on Amazon's rapidly growing product lines. Since 2007, we've expanded from the Kindle e-reader to a range of devices including:- Fire tablets.- Fire TV and Fire TV Stick for streaming media.- Amazon Echo and Alexa-enabled devices for voice-controlled smart homes.These products offer customers access to millions of books, movies, TV shows, apps, and skills, with new features constantly being added.The Device, Digital and Alexa Support (D2AS) function is looking for a motivated individual with proven analytical skills and practical experience to join the Product Analytics team as a Business Intelligence Engineer. We are looking for an expert who can build and analyze data systems, spot important business pattern, create metrics that measure success and develop ways to validate our findings.This role combines technical skills with business insight. You'll use your experience in Business Intelligence (BI) to help us make smart, data-driven decisions. Your work will directly impact our ability to serve customers better and grow our business.Key job responsibilities- Engage closely with Engineers, Scientists, and Data Engineers on developing BI/analytics solutions to support customer facing CS products.- Support A/B experiment feature testing and analysis.- Build and analyze key metrics to uncover trends and root causes of issues.- Own the design, development, and maintenance of ongoing data pipelines, metrics, reports, visualizations, analyses, dashboards, etc. to drive business decisions.- Help define requirements around customer service interactions and establish actionable actionable insights.A day in the lifeWe thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data, and we collaborate with engineering, science, and product teams to foster an innovative learning environment.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!Benefits summary: Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) PlanAbout the teamThe D2AS Product Analytics team is responsible for supporting a broad suite of customer and associate facing technical products. ChatBot, Forums, Screen Sharing, Dynamic Troubleshooting, Help App and Diagnostic Data Tools are built and maintained to help our customers get the help they need as efficiently as possible. The Product Analytics team contributes to this success by providing data, analysis and dashboard solutions to inform strategic product development and tactical feature rollouts. The team work closely with partners in Data Science and Data Engineering teams to feed new insights and features to our predictive ML solutions. 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 Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high quality sites across the web, and on millions of Kindles, tablets, and mobile devices. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place.Amazon is investing heavily in building world class advertising solutions that shift away from using traditional cookies/identifiers to new modeled machine learning solutions to achieve campaign performance. Our products are strategically important to the advertising business as the intersection of consumer privacy and new ways of advertising is at a critical period of change. We deliver billions of ad impressions and clicks daily and are breaking fresh ground to build new avenues for advertisers.As a business intelligence engineer you will have strong technical acumen and experience in developing reporting infrastructures and flexible front-end tools. You will conduct deep dive analyses of business growth opportunities and formulate conclusions for senior leadership. You will be working with a unique and gifted team developing exciting products for marketers and business leaders while collaborating with cross-functional teams. Often, the ideal set of data will not be available and you will have to think creatively about what is available in order to drive results. You will also be responsible for producing written recommendations and insights for key stakeholders that will help shape effective marketing and business strategies and tactics.Key job responsibilities* Analyze relevant business information, and uncover trends and correlations to develop insights that can materially improve our business and marketing strategies and tactics.* Develop new and innovative analyses to inform our stakeholders business and marketing strategy.* Establish new, scalable, efficient, automated processes for tracking and reporting on progress of marketing campaigns and activity* Design, develop and establish KPIs to provide strategic insights to drive growth and measure performance marketing* Partner and with cross-functional teams to deliver business results* Manage, maintain, and improve the team's self-service reporting infrastructure, pipelines, and dashboardsAbout the teamThe ADSP Product Analytics team is responsible for building platform that can make access to insights and metrics as easy as shopping on Amazon.com. And working backwards from this, we provide PMs access to KPIs and other insights via interactive visualization. We also enable our customers to analyze the data through self-serve query capabilities provided in an easy to use platform using Amazon’s out of box solutions. In addition to analytics, we provide data engineering support by building a scalable infrastructure in AWS that ensures data availability, security and accuracy.BASIC QUALIFICATIONS- 10+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining ...

Amazon.com’s Buyer Risk Prevention (BRP) mission is to make Amazon the safest and most trusted place worldwide to transact online. Amazon runs one of the most dynamic e-commerce marketplaces in the world, with nearly 2 million sellers worldwide selling hundreds of millions of items in ten countries. BRP safeguards every financial transaction across all Amazon sites. As such, BRP designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in Amazon.com. BRP organization is looking for a Business Analyst for its In Region support team. The team is being grown to provide insights and support for BRP in our emerging marketplaces and provide analytical solutions to help drive operational efficiencies, uncover the hidden risks and trends, reduce investigation errors and bad debt, improve customer experience and predict & recommend the optimizations for future state of BRP buyer abuse in each country. Key job responsibilitiesAs a Business Analyst, you will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of business intelligence, data mining and visualization techniques. You will need to collaborate effectively with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. The candidate should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, the candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business. Responsibilities: - Use analytics and data mining techniques to solve complex problems and drive business decisions. - Employ the appropriate tools, methodologies to discover patterns of risks, abuse and help reduce bad debt - Design experiments, test hypotheses, and build actionable models to optimize BRP in a specific country - Solve analytical problems, and effectively communicate methodologies and results - Build analyses for product launches - Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies - Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus areaBASIC 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 Amazon Vendor Services (AVS) organization strives to improve the Amazon customer experience by working directly with Selling Partners to enable more selection, reduce defects, and drive growth across their businesses. Our team invents and innovates across technology, processes and people to enhance the services we offer, improve Selling Partner engagement and satisfaction, and build scalable solutions. Our team is responsible for building robust processes, identifying opportunities for improvement, and partnering with dependent teams to improve tools and systems for internal and external customers. As a BIE, you will develop, standardize, and report on data which drives efficiency and scalability for the AVS Program. You will work closely with business intelligence, data engineering, operations, marketing, and other Retail partners to improve the Selling Partner experience. You will develop and implement ideas that drive continuous improvement by simplifying processes and driving automation. This position provides opportunities to influence one of the high visibility and high impact areas in the organization. The ideal candidate is highly analytical, resourceful, customer-focused and team oriented, with clear communication skills and the ability to build effective relationships with key stakeholders. You are also have a history of delivering results in a fast-paced and dynamic business environment. Key job responsibilities- You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tools/languages like SQL, Excel, and others, to translate data into meaningful insights through collaboration with scientists, software engineers, data engineers and business analysts. - Use analytical and statistical rigor to solve complex problems and drive business decisions- Mine data from database tables (ex. Redshift, MySQL, Oracle) using SQL and log files by writing scripts (ex. PERL, Python, UNIX)- Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership- Produce written recommendations and insights that will help shape effective metric development and reporting for key stakeholders- Simplify and automate reporting, audits and other data-driven activities- Partner with Engineering teams to enhance data infrastructure, data availability, and broad access to customer insights- To develop and drive best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation- Learn new technology and techniques to meaningfully support product and process innovationBASIC QUALIFICATIONS- 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 ...

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

Senior Business Intelligence Engineer 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. 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.Apply now and you will be eligible for Amazon Senior Business Intelligence Engineer positions that are based on your preferred location, team, and more. We’re hiring across Amazon Stores in the United States and Canada. Teams with available positions include, but are not limited to:• Consumer Technology: Build new generation features and products for amazon.com, constantly improving the Customer and Seller experience for billions around the globe. Whether building site wide features such as reviews and recommendations, category specific software for the likes of Pharmacy, Electronics, Digital Software and Video Games or seller infrastructure, there are a variety of complex problems to tackle using a range of technologies in the design of your technical solutions. • Operations Technology: Shape the future of transportation planning and execution on a global scale, that impacts hundreds of fulfillment centers, thousands of Amazonians, and millions of customers across the world. Your technology will support thousands of operators worldwide to design, build and run the best-in-class Amazon transportation network. We are building intelligent software to make transportation more reliable, faster, and less costly, providing a better and less expensive experience for our customers.• Human Resources Technology: Create a seamless experience for millions of Amazonians and/or candidates. Whether supporting technologies for onboarding, time and attendance, compensation, amazon.jobs, or recruiting, you’ll deliver robust feature sets, elegant designs, intuitive user interfaces and systems that make it easy for Amazonians to excel at performing critical business functions.About Us: Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a better-rounded contributor.Inclusive Team CultureHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Key job responsibilitiesYou will utilize your deep expertise in business analysis, metrics, reporting, and analytic tools/languages like SQL, Excel, and others, to translate data into meaningful insights through collaboration with scientists, software engineers, data engineers and business analysts. • You will have end-to-end ownership of operational, financial, and technical aspects of the insights you are building for the business, and will play an integral role in strategic decision-making.• Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership• Produce written recommendations and insights that will help shape effective metric development and reporting for key stakeholders• Simplify and automate reporting, audits and other data-driven activities; build solutions to have maximum 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, validation, and documentation• Learn new technology and techniques to meaningfully support product and process innovationBASIC 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 ...

Do you want to reinvent shopping on Amazon? With ever expanding selection, and ambient computing looming on the horizon, it's time to create a new shopping experience, beyond search & browse. It's time to make purchasing with the help of Alexa trivially easy, and delight customers at the level of a knowledgeable, personal shopping assistant that helps them save time and money. It's time to leverage big data and machine learning to generate relevant and trustworthy recommendations for billions of shopping journeys through billions of products, and to make it easy and natural for customers to discover those recommendations. We are seeking the industry's best to help us create new ways to interact, search and shop. Alexa Shopping BI Team's vision is to empower Alexa Shopping teams by (i) providing BI capabilities that support measuring, understanding and assessing key inputs / outputs related to business decisions and (ii) uncovering actionable insights to address challenging business questions. In this role you will: - Work closely with Alexa Shopping Product Managers, Software Development Managers and Software Development Engineers to gather requirements and help identifying the right technical artifact, while ensuring prioritization and transparent communication.- Work closely with Data Engineering to ensure high quality instrumentation that allows to analyze trends and metrics at the most granular level.- Build scalable solutions, using analytics tools and languages (notably SQL), to provide data and KPIs to inform business decision through streamlined reporting and visualization/reporting tools such as Quicksight.- Collaborate with stakeholders to create additional metrics and processes based on program changes and customer requirements.- Perform quantitative analyses to uncover areas of opportunity and present written business recommendations that will help shape Alexa Shopping product roadmap.- Help defining and analyzing A/B testing, ensuring statistical significance and educating stakeholders to properly interpret results.- Collaborate with finance as a leader of ongoing analytical support.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 data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business ...

Amazon’s Selling Partner Insights and Analytics (SPIA) organization is seeking an experienced Business Intelligence Engineer (BIE) who will be a key contributor and sparring partner, developing analytics and insights for products that directly impact sellers experience on Amazon. If you are a self-starter, someone who thrives in a fast-paced and ever-changing environment, with an uncanny knack and passion for turning qualitative analysis and observations into diagnostics and recommendations, then you are the right candidate for our team.Join us at the Central analytics Team of Amazon's Selling Partner (SP) Support Org and become part of a global team that is redefining the future of e-commerce. With access to vast amounts of data, cutting-edge technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way sellers engage with our platform and customers worldwide. Together, we will drive innovation, solve complex problems, and shape the future of e-commerceKey job responsibilitiesBe a thought leader: Interface with business partners, architect, design, implement, and support BI projects & tools that derive insights and shape important, worldwide business decisions.Dive Deep, Raise the bar and insist on high standards: Recognize and adopt best practices in analysis and reporting, data integrity, test design, analysis, validation, and documentation. Support your leadership team with deep-dives and insights that improve our performance and productivity, so we can serve our customers even better.Deliver Results: Be inspired by the motto of Customer First, use outstanding business acumen, technical and analytical skills to drive real, actionable results.A day in the lifeThe Sr. BIE role will be focusing on Selling Partner Experience Analytics including customer satisfaction metrics, Amazon associate’s performance, Operational metrics and more. This includes metrics measuring new contact channels like Chat and Escalate my Case, but also Global Operation metrics (service level, first touch resolution, average handling time and so on).They will focus on creating actionable insights and recommendations and not just gathering data. They will have passion for data and analytics, be an independent innovator comfortable with ambiguity. They'll have strong attention to detail, an ability to work in a fast-paced and entrepreneurial environment. About the teamSelling Partner Insights and Analytics team mission is to build listening mechanisms to gather frictionless SP feedback, generate insights at scale, and enable teams to prioritize and measure improvement opportunities. Selling Partner Insights and Analytics focuses on surfacing SP sentiment data/insights and connecting our stakeholders to actual SP experiences. The team performs analyses, creates visualizations and develops automated reporting solutions that help drive data driven decision makingBASIC QUALIFICATIONS- Master's degree in statistics, data science, or an equivalent quantitative field ...

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

The Inventory Trust team within Selling partner Identity verification is responsible for the detecting and preventing bad actors and their inventory from reaching to our customers. We own different programs to stop bad actor inventory from coming into our FCs and reaching it our customers. We achieve this by using advanced analytics , ML Modeling, risk mining and working with partner teams. We are talented team of risk, program, product and data analytics experts.We are looking for passionate, innovative, organized, and results-oriented Business Analyst II to support on its analytics roadmap. The Business Analyst II is responsible for driving deep insights to economically disrupt bad actor activities. The person should have a detailed understanding of a business requirement or the ability to quickly get to the root cause of a particular business issue, and draft solutions to meet requirements or resolve the root problems. You will work closely with product managers, program managers, Risk/Operations managers and BIE/DE and scientists to analyze massive data sets, identify areas to improve, define metrics to measure and monitor programs, and most importantly work with different stakeholders to drive improvements over time. You will also work closely with internal business teams to extract or mine information from our existing systems to create new analysis, and expose data from our group to wider teams in intuitive ways. BASIC QUALIFICATIONS- Bachelor's degree or equivalent- 5+ years of Advanced SQL and data visualization tools such as Tableau experience- 4+ years of analytics , business or financial data analysis experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders at leadership level- Experience in designing and implementing dashboard using BI and automation tools . Strong ETL knowledge is preferred- Experience in customer segmentation, customer behavior analysis, conjoint/trade-off modeling- 4+ years of data analysis using SQL, big Dataware house such as redshift or related analytical field experience ...

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 ...

Are you looking for a role that allows you to shape the future of how sellers sell their products globally with Amazon? Do you like working in a start-up like environment with the opportunity to have a significant impact from day 1? Do you have an insatiable curiosity about why Amazon global stores operate as they do and how Amazon could optimize its global selling business? If so, then keep reading as this could be the role for you.Over 2MM active sellers in 22 countries (and growing) list their products for sale on the Amazon stores. Sellers are a critical part of Amazon’s ecosystem to deliver on our vision of offering the earth’s largest selection and lowest prices. As a Business Analyst on Listing Analytics team, you will be responsible for bringing data to the table, specifically seller anecdotes and business metrics. The ideal candidate thrives in working in large and complex data warehouse environments, has excellent verbal and written communication skills, is motivated by developing innovative and simplified solutions to solve complex analytical problems and is passionate about working with large data sets and bringing data together to answer business questions and drive change. These analyses and solutions will be fundamental to finding opportunities and creating new programs aimed at further growing on Amazon stores. In this role you will:• Engage with leadership and diversified customer groups to understand the needs and recommend business intelligence solutions.• Partner with engineering teams to define the data elements and data structures that the team should leverage to develop critical seller experience metrics.• Design, implement, and support platforms that provide business teams ad-hoc access to large datasets for self service deep dives (eg: data visualization tools for non-tech business users)• Interface with business customers, gather requirements and deliver complete reporting solutions.• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.• Participate in strategic & tactical planning discussions• Standardize data and report consumption across all customer groups.• Make recommendations for new metrics, techniques, and strategies to improve the operational and quality metrics.• Be connected and influential within the Amazon analytics community. Work with business intelligence engineer, data engineering, software development teams to enable the appropriate capture and storage of key data points.BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- Bachelor's degree or equivalent- Experience defining requirements and using data and metrics to draw business insights- Experience with Excel- Experience with SQL- Experience making business recommendations and influencing stakeholders ...

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

Job Location: Candidate can opt for Seattle, WA or Tempe, AZAre you interested in helping Amazon ensure that customers make great purchase decisions and enable the world's most recognized Brands using Amazon to have the best experience listing and selling their products? The Transparency team is seeking a skilled and experienced Business Analyst who is excited about translating vast and complex data sets into actionable insight and simple and actionable, and scalable solutions. To be successful in this role, you must have a high capacity for Learn and Be Curious, be comfortable dealing with ambiguity, be an effective communicator, and be organized. Our business moves rapidly, and it’s important to be able to adapt to the latest changes in the business, systems, tools, and techniques for extracting, processing, analyzing, modeling, and taking action on data. You will work directly with business stakeholders to define strategy and requirements, and then lead projects from design through delivery. This is a global role that will include interaction with brands, tech teams, business development, operational teams, and stakeholders across US, EU, CN, IN, JP and AU. As a Business Analyst on the Transparency PM team, you will focus on exciting and challenging problems, including:- Translate basic datasets into actionable insights - Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format- Influence and implement the team's approach to data - Guide and provide recommendations on focus areas and improvement opportunities for the business- Have in-depth knowledge of the data available and how to collect it; periodically identify more advanced methods of query optimization- Utilize basic data-manipulation tools and cross-check data to determine accuracy- Convert data to information through basic descriptions, aggregations, and pivots- Implement/deploy data visualization or communication tools (e.g., metrics dashboards, decks, flashes)- Share data with stakeholders to inform business decisions- Manage expectations; prioritize own workload and communicate statusAdvanced SQL and Excel are required. About the teamWe are a team of smart, hardworking and passionate PMs that like solving complex problems in a collaborative manner. BASIC QUALIFICATIONS- 3+ years of business or financial analysis experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- Experience with SQL- Experience defining requirements and using data and metrics to draw business insights- 3+ years of business analyst, data analyst or similar role experience- Experience making business recommendations and influencing stakeholders ...

Have you ever thought about what it takes to detect and prevent fraudulent activity among hundreds of millions of e-commerce transactions across the globe? What would you do to increase trust in an online marketplace where millions of buyers and sellers transact? How would you build systems that evolve over time to proactively identify and neutralize new and emerging fraud threats?Our mission in Buyer Risk Prevention is to make Amazon the safest place to transact online. Buyer Risk Prevention safeguards every financial transaction across all Amazon sites, while striving to ensure that these efforts are transparent to our legitimate customers. As such, Buyer Risk Prevention designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in Amazon.com.As a Business Analyst in Buyer Risk Prevention, you will be responsible for analyzing terabytes of data to identify specific instances of risk, broader risk trends and points of customer friction, developing scalable solutions for prevention. You will need to collaborate effectively with business and product leaders within BRP and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. You should be able to apply a breadth of tools, data sources, and analytical techniques to answer a wide range of high-impact business questions and proactively present new insights in concise and effective manner. In addition you will be responsible for building a robust set of operational and business metrics and will utilize metrics to determine improvement opportunities.You should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business.Responsibilities: - Understand the various operations across Payment Risk - Design and develop highly available dashboards and metrics using SQL and Excel/Tableau - Perform business analysis and data queries using scripting languages like R, Python etc - Understand the requirements of stakeholders and map them with the data sources/data warehouse - Own the delivery and backup of periodic metrics, dashboards to the leadership team - Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies - Execute high priority (i.e. cross functional, high impact) projects to create robust, scalable analytics solutions and frameworks with the help of Analytics/BIE managers - Perform business analysis and data queries using appropriate tools - Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area- Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.)- Draw inferences and insights from the data using EDA and data manipulations using advanced SQL for business reviewsKey job responsibilities• Understand the various operations across Payment Risk• Design and develop highly available dashboards and metrics using SQL and Excel/Tableau/QuickSight• Understand the requirements of stakeholders and map them with the data sources/data warehouse• Own the delivery and backup of periodic metrics, dashboards to the leadership team• Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies• Execute high priority (i.e. cross functional, high impact) projects to improve operations performance with the help of Analytics managers• Perform business analysis and data queries using appropriate tools• Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area• Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.)BASIC 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- Experience creating complex SQL queries joining multiple datasets, ETL DW concepts- Experience defining requirements and using data and metrics to draw business insights- Experience demonstrating problem solving and root cause analysis- Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages- Experience in a BI role with a technology company or financial institution- 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- 1+ year of experience working in Analytics / Business Intelligence environment with prior experience of design and execution of analytical projects ...

AWS is looking for a Analytics Manager to join the AWS Analytics Engineering (AAE) team. This is your opportunity to be part of a team that has direct impact on foundational cloud services such as Amazon Elastic Compute Cloud (EC2), Amazon’s Simple Storage Service (S3), Amazon Q Developer, Serverless, Databases, Networking and many more !As a Analytics Manager on this team, you will be responsible for building and owning the delivery of an analytical roadmap for an AWS services you support. You will generate insights that directly drive business growth and influence feature and product enhancements. You will get to work with datasets in one of the world's largest data warehousing environments, giving you opportunity to develop and support your hypotheses with data-driven insights and influence product leadership. You will work closely with business leaders, finance, and technical teams to analyze many non-standard and unique business problems, creatively problem-solving to deliver actionable output. As you build your service's analytical capabilities, you will be redefining best practices with a cloud-based approach to scalability and automation.Key job responsibilities- Develop a deep understanding of the business drivers and data landscape for your assigned AWS services.- Deliver in-depth data-driven analysis papers with actionable insights to business leaders.- Design and implement a comprehensive reporting & analytical roadmap to derive key business metrics.- Collaborate with cross-functional teams to identify new dataset to enhance existing analytical capability.- Strong verbal and written communications to share findings with business leaders, finance, and technical teams to influence decision-making and product enhancements.- Mentor junior members to help establish new analytical standards and best practices for the team.A day in the lifeWork/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.About the teamUtility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.About AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 8+ years of professional or military experience- Experience programming to extract, transform and clean large (multi-TB) data sets- 5+ years of SQL experience- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Experience managing, analyzing and communicating results to senior leadership ...

The newest business group in AWS, AWS Solutions are built by AWS and AWS Partners to address specific industry, cross-industry, and technology use cases.Our customers are evolving from builders to both builders and buyers.As the AWS customer base expands, we increasingly need to serve customers who prefer to “buy” Solutions in addition to those who prefer to “build.” Given the depth and breadth of offerings (200+ AWS services and features, and thousands of APN offerings), and various ways they can be put together, increasingly customers need prescriptive guidance and automation to reduce the number of decisions they need to make and minimize last-mile development to adopt AWS.As a BI engineer on this team, you will get the exciting opportunity to work on very large data sets in one of the world's largest and most complex data warehouse environments. You will work closely with product and business leaders and executives to continuously evolve the analytical portfolio and help the businesses make product strategy decisions. Key job responsibilities• Work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.• Design and implement reporting solutions enabling stakeholders to manage the business and make effective decisions.• Conduct ad hoc data analysis and data quality investigations.• Implement training and documentation solutions that enable business stakeholders to get the most out of our self-serve reporting tools.• Develop and support the analytical technologies that give our customers timely, flexible and structured access to their data.• Design and implement an analytical environment using third-party and in-house reporting tools, modeling metadata, building reports and dashboards.About the teamUtility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.About AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- Bachelor's Degree in Information System, Computer Science, or a related technical field.- 3+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL etc.- 2+ years of experience with data visualization using Tableau, Quicksight, or similar tools- 2+ years of experience with data modeling, warehousing and building ETL pipelines ...