Business Intelligence

Would you like to shape the future of the video entertainment industry for movies, TV and live sports events? Does solving complex problems within large scale systems excite you? If you answered yes, come build the future of entertainment with us!Prime Video offers customers a vast collection of movies, series, and sports—all available to watch on hundreds of compatible devices. U.S. Prime members can also subscribe to 100+ channels including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required. Prime Video is just one of the savings, convenience, and entertainment benefits included in a Prime membership. More than 200 million Prime members in 25 countries around the world enjoy access to Amazon’s enormous selection, exceptional value, and fast delivery.Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.Amazon is seeking a Business Intelligence Engineer for a high visibility role supporting Prime Video Sports. This role sits within the Finance & Strategy organization, and provides opportunities for impactful contributions to the Prime Video business. Business Intelligence Engineers partner with finance, strategy, and other stakeholders to solve complex problems, including, reporting & tooling automation, business analysis, and strategic planning. This role will oversee reporting and analysis of major sports properties, such as Thursday Night Football and UEFA Champions League. Key job responsibilities- Partner with Finance and Strategy Managers to design reports and analyses which answer important business questions. - Build impactful, scalable data pipelines and automated reporting products. - Produce meaningful, timely, and actionable analyses to inform sports business decisions.- Design and implement metrics to measure effectiveness of new products. - Work with Data Engineers, Economists, and Product Managers to optimize Prime Video reporting and analysis infrastructure and operations. BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

How often have you had an opportunity to be a member of a team that is tasked with resolving customer needs through disruptive and innovative technology? Everyone on the team needs to be entrepreneurial, wear many hats and work in a fast-paced, ambiguous, and highly collaborative environment that’s more startup than big company. If this sounds intriguing, then we’d like to talk to you about a role in the Worldwide Defect Elimination (WWDE)- Concessions Analytics team. This team is focused on the customer remediation experience, building technology to identify and personalize the concessions experience for customers. To continue providing the best resolution options for customers, we seek a passionate, results-oriented, Business Intelligence Engineer (BIE) Manager. The Business Intelligence Engineer Manager will also be responsible for driving analytical strategy for their respective function and enable data driven decision making. Another key aspect of the job is to unearth insights from data to help the operations team in driving process excellence. This position requires exceptional managerial skills, statistical knowledge, superior analytical abilities, knowledge of business intelligence solutions and exposure to efficient data engineering practices. The BIE Manager will also be a stakeholder manager as they will have to work closely with senior tech and non-tech stakeholders/leaders. Candidate should be comfortable with ambiguity, capable of working in a fast-paced environment, continuously improving technical skills to meet business needs, possess attention to detail and be able to collaborate with customers to understand and transform business problems into requirements and deliverables.Key job responsibilities - Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. - Partner with operations/business teams/economist/machine learning (ML) teams to consult, develop and implement key performance indicators (KPI’s), automated reporting/process solutions and data infrastructure improvements to meet business needs. - Develop the end-to-end automation of pipelines for applications and ML models - Apply analytic skill to extract meaningful insights and learnings from large and complicated data sets. - Serve as liaison with Business and technical teams to achieve project objectives, requiring data gathering, problem solving, modeling, and communication of insights and recommendations.A day in the lifeIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! Benefits Summary:Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanBASIC QUALIFICATIONS- 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 ...

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.• Define and drive team analytical strategy to best support business leaders and executives’ strategic decisions.• Mentor junior engineers on the team with industrial standards and best practices.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.- • 8+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL etc.- • 5+ years of experience with data visualization using Tableau, Quicksight, or similar tools- • 5+ years of experience with data modeling, warehousing and building ETL pipelines ...

The Intelligent Talent Acquisition (ITA) organization develops data solutions for all aspects of hiring across Amazon. Joining ITA is your opportunity to make an impact across multiple layers of the company and the workforce. Amazon’s mission is to be the most customer centric company in the world and ITA supports our Talent Acquisition (TA) organization of the mission by hiring hundreds of thousands of hourly associates and corporate employees across multiple types of roles and businesses. The Global Risk Intelligence team (GRI) provides the data, science, and tools to support hiring over 1MM hourly associates every year, ensuring Amazon is able to meet it’s delivery speed goals, as well as helping choose new locations for Amazon logistics buildings. We are looking for an experienced Business Intelligence Manager to work with our engineers and leadership team. The ideal candidate will have a natural curiosity about solving problems, identifying the right metrics to inspect the business, and to help leaders make great data driven decisions. You will work with a highly collaborative team, and have direct influence over analytical roadmaps, establishment of key performance metrics, dashboards and report development. You’ll be responsible for working with senior leadership to provide analytics to build predictive modeling and insights into Workforce Staffing's Site Selection and Fill Risk Management use cases. Successful attributes include: effective communicator and leader of various levels and audiences, the capacity to remain flexible and adept at learning new tools, and the facility to implement new systems within a team atmosphere.Our environment is deadline driven and fast paced and therefore requires detail-oriented individuals comfortable interacting or working with multiple teams (business and technical). As you further your career as a Business Intelligence Manager, you will focus on improving corporate reporting frameworks and data visualization. You will build capacity solutions for the growing managed businesses. You will solve real world problems and build metrics and business cases to improve decision making. Key job responsibilities* Centralize reporting and synthesize insights to deliver predictive insights and recommendations for optimization.* Build solutions and drive strategies for organizational wide operational excellence and operational programs to evolve day to day reporting mechanisms* Work with teams from across Amazon to improve data quality within their respective products and platforms* Work with software developers / data engineers to improve data quality and drive operational excellence for data ingestion, transformation and publication to ensure confidence in the systems we build.* Champion and actively develop a data-centric approach, acting as coach, mentor, champion and in-house expert within the WFI team* Be a “do-er” as well as a leader* Be a data and analytics expert that your team can turn to for assistance. Be able to produce individual analytics and guide individual contributors across the team.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- 5+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience- 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- 3+ years of quantitative and qualitative data science/business intelligence with significant business impact experience ...

Utility 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.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.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. 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 & 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. We are part of AWS Product BI team. This team supports the business intelligence needs for Compute, Storage, Networking, Automation & Messaging, Management Tools and Developer Tools product families. We own the data, metrics and reporting for these orgs. We empower all our stakeholders to make data driven business decisions by providing Daily Reports, WBRs, Analyses/Narratives and Datasets. We innovate on behalf of our end-users to produce relevant Metrics, Automations and Tools to make Data and Insights actionable.“Nothing is beyond our reach”We operate by the slogan that “nothing is beyond our reach”. We think big. We sometimes find ourselves asking “how in the world is there no tool or solution for this?”, or “how have we managed to operate like this for so long?”. Our response in these moments, is “well, let’s fix it”. If the idea of pioneering solutions to unsolved problems from the ground up in uncharted territory sounds exciting to you, come join us!AWS produces an outrageous amount of data, and our org is seeking a data engineer to usher in a new generation of data management where data can be a first class citizen in our operations. AWS is looking for an excellent Data Engineer to join the AWS Product BI team. This is your opportunity to be a core part of the team that has direct impact on the day-to-day decision making in the many AWS Product teams like EC2, S3 and IoT.Since early 2006, AWS has provided companies of all sizes with an infrastructure platform in the cloud. AWS is a high-growth, fast-moving division within Amazon with a start-up mentality where new and diverse challenges arise every day. On the AWS Product BI team you will be surrounded by people that are exceptionally talented, bright, and driven, and believe that world class BI is critical to our success. To help build this growing team, you should be highly analytical and possess a strong passion for analytics and accountability, set high standards with a focus on committed business success. We take working hard, having fun, and making history seriously. AWS sets the standard for functionality, cost, and performance for many cloud based services, but it’s still early days for cloud computing, and there are boundless opportunities to continue to redefine the world of cloud computing - come help us make history!As a Data engineer on this team, you will be a technical leader in our team, and own the technical architecture of our BI and Data platforms. 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 the business and technical teams in analysis on many non-standard and unique business problems and use creative-problem solving to deliver actionable output.Our team is serious about great design and redefining best practices with a cloud-based approach to scalability and automation. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, and an ability to work effectively with cross-functional teams.Key job responsibilities- Designing, developing, troubleshooting, evaluating, deploying, and documenting data management and business intelligence systems, enabling stakeholders to manage the business and make effective decisions.- Building secure, available, scalable, stable, and cost-effective data solutions using data storage technologies, distributed file system, data processing, and business intelligence best practices.- Working with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.- Designing and planning for solutions in the various engineering subject areas as it relates to data storage and movement solutions: data warehousing, enterprise system data architecture, data design (e.g., Logical and Physical Modeling), data persistence technologies, data processing, data management, and data analysis.- Ensuring completeness and compatibility of the technical infrastructure to support system performance, availability and architecture requirements- Reviewing and participating in testing of the data design, tool design, data extracts/transforms, networks and hardware selectionsBASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Bachelor's degree ...

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

The Relay Operations Center (ROC) Tech Analytics team is seeking an exemplary Business Analyst with broad technical skills to develop data visualizations and build automation solutions that drive business decision making and process improvement. The complexity of research and skills for a Business Analyst is well beyond basic data entry and extraction. It involves design and development of automated data pipelines, sophisticated analytical modeling and intuitive data visualization. This role will directly be responsible for maintaining front end code using Python, SQL, HTML, Java, and R, or other similar coding languages. This role will have high level visibility due to the nature of the tool sets being maintained, built, and the network impact of analysis conducted. This role has great exposure to a broad scope that can really help shape the future of operational fulfillment and promotes career progression.Key job responsibilities - Data extraction, manipulation and production from database tables (Data Warehouse) - Automation and tool development using various programming languages - Design and implementation of analytical models using statistical analysis - Development of data visualization using commercial suites - Generating/extracting data from our BI databases to support dive deep activities- Prioritizing, optimizing and delivering timely updates for metrics- Automating reports and tools with a combination of SQL, visualization tools- Partnering with stakeholders to understand business challenges and provide data/analysis to help drive projects- Uncovering trends and correlations through data mining and analysis to develop insights that can improve the business and help make effective decisions- Building dashboards and tools that will allow our team and cross-functional partners to self-service their data needs whenever possible- Graphically expressing data to allow easy access and understanding for a broad range of people- Uncovering trends and correlations through data mining and analysis to develop insights that can improve the business and help make effective decisions#NALHBASIC QUALIFICATIONS- Bachelor's degree or equivalent- 2+ years of business analyst, data analyst or similar role experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- 2+ years of experience in SQL ...

Do you want to join an innovative team of engineers and analysts who use machine learning and analytic techniques to create state-of-the-art solutions for providing better value to Amazon's Sellers and Customers? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real-world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Business Intelligence team within Defect Prevention and Reconciliation (DP&R).The Defect Prevention and Reconciliation team is looking for a Business Analyst who will enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format. You will analyze and solve business problems with focus on understanding root causes and driving forward-looking opportunities. You will communicate analysis and metrics insights to stakeholders and business leaders, both verbally and in writing. These analytics and metrics will help ensure we are focused on what’s important, enable clarity and focus, and partner with internal stakeholders to help drive the business of Fulfillment by Amazon (FBA) Selling Partners.Fulfillment by Amazon (FBA) is built around Amazon’s world class capabilities in ordering, fulfillment, transportation and Customer service. By leveraging our current scale and supply chain, FBA can provide a low cost alternative for fulfillment and enable third party Sellers to rapidly grow their business. Fulfillment by Amazon (FBA) is an Amazon service for our sellers. The FBA team partners with sellers and our Amazon fulfillment centers to create a seamless experience for sellers to leverage our world-class facilities. Key job responsibilities- Retrieve and analyze data using SQL, Excel, and other data management systems.- Monitor existing metrics and create/implement new metrics where needed, partnering with internal teams to identify process and system improvement opportunities.- Design and implement reporting solutions to enable stakeholders to manage the business and make effective decisions.- Support cross-functional teams on the day-to-day execution of the existing program implementation.- Drive small to medium operational enhancement projects.BASIC QUALIFICATIONS- Bachelor's degree or equivalent- 3+ years of business analyst, data analyst or similar role experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- Experience defining requirements and using data and metrics to draw business insights- Experience with Excel- Experience with SQL ...

The Amazon Devices organization designs, produces and markets Kindle e-readers, Fire Tablets, Fire TV Streaming Media Players and Echo Speakers, and is constantly looking to innovate on behalf of customers with new devices in existing or new categories or improving the customer experience on existing platforms. The Devices Analytics team provides customer engagement support to the broader organization for Kindle, Fire, and Echo products – established and emerging countries, worldwide. We are looking for an innovative, hands-on and customer-obsessed Data Engineer who can be a strategic partner to the product managers and engineers on the team. Our projects span multiple organizations and require coordination of experimentation, economic and causal analysis, forecasting, and predictive machine learning tools. You will act as the business-facing subject matter expert for data storage, feature instrumentation, and data privacy, with the responsibility of managing end-to-end execution and delivery across projects. In this role, you will be a technical expert with massive impact. You work tightly with the research scientist and business intelligence engineers on our team to create the data infrastructure and pipelines to drive our machine learning projects from initial experimentation to production level deployment. Your work will directly impact the success of Amazon's growing Devices business. You will work across diverse science/engineering/business teams. You will work on critical data engineering problems, building unique high quality reliable, accurate, consistent, and architecturally sound data sets that are aligned with our business needs.Key job responsibilities- Design, implement and support an analytical data infrastructure - Managing AWS resources including EC2, EMR, S3, Glue, Redshift, etc. - Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies - Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency - Collaborate with Data Scientists and Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation - Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customersBASIC QUALIFICATIONS- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience mentoring team members on best practices ...

Business Intelligence Engineer Come build the future as a Business Intelligence Engineer at Amazon, where you will be inspired working along best-in-class inventors and innovators! You will have the opportunity to create meaningful experiences that deliver on the ever-evolving needs of our customers, and your work will impact millions of people around the world. As an Amazon Business Intelligence Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you’ll be creating for our customers.Apply now and you will be eligible for Amazon Business Intelligence Engineer positions that are based on your preferred location, team, and more. We’re hiring across Amazon Stores in the United States and Canada. Teams with available positions include, but are not limited to:• Consumer Technology: Build new generation features and products for amazon.com, constantly improving the Customer and Seller experience for billions around the globe. Whether building site wide features such as reviews and recommendations, category specific software for the likes of Pharmacy, Electronics, Digital Software and Video Games or seller infrastructure, there are a variety of complex problems to tackle using a range of technologies in the design of your technical solutions. • Operations Technology: Shape the future of transportation planning and execution on a global scale, that impacts hundreds of fulfillment centers, thousands of Amazonians, and millions of customers across the world. Your technology will support thousands of operators worldwide to design, build and run the best-in-class Amazon transportation network. We are building intelligent software to make transportation more reliable, faster, and less costly, providing a better and less expensive experience for our customers.• Human Resources Technology: Create a seamless experience for millions of Amazonians and/or candidates. Whether supporting technologies for onboarding, time and attendance, compensation, amazon.jobs, or recruiting, you’ll deliver robust feature sets, elegant designs, intuitive user interfaces and systems that make it easy for Amazonians to excel at performing critical business functions.About Us: Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a better-rounded contributor.Inclusive Team CultureHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Key job responsibilities• You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tools/languages like SQL, Excel, and others, to translate data into meaningful insights through collaboration with scientists, software engineers, data engineers and business analysts. • You will have end-to-end ownership of operational, financial, and technical aspects of the insights you are building for the business, and will play an integral role in strategic decision-making.• Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership• Produce written recommendations and insights that will help shape effective metric development and reporting for key stakeholders• Simplify and automate reporting, audits and other data-driven activities• Partner with Engineering teams to enhance data infrastructure, data availability, and broad access to customer insights• To develop and drive best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation• Learn new technology and techniques to meaningfully support product and process innovationBASIC QUALIFICATIONS- At least 4+ years of experience using SQL to query data from databases/data warehouses/cloud data sources/etc. (e.g., Redshift, MySQL, PostgreSQL, MS SQL Server, BigQuery, etc.).- Experience with data visualization using Tableau, Quicksight, or similar tools.- Bachelor’s degree in Statistics, Economics, Math, Finance, Engineering, Computer Science, Information Systems, or a related quantitative field.- Ability to operate successfully and independently in a fast-paced environment.- Comfort with ambiguity and eagerness to learn new skills. ...

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 ...

We are powering an automation and self service driven customer journey for AWS customers leveraging a range of Analytics tools to generate business shaping insights. About AWS: For more than 11 years, Amazon Web Services (“AWS”) has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 100 fully featured services to millions of active customers around the world - including the fastest-growing startups, largest enterprises, and leading government agencies - to power their infrastructure. About the Analytics Team: The Analytics team is a small, central group in the AWS Support organization. The team comprises members from a range of skill-sets such as strategy & planning, Machine Learning / predictive analytics and Business Intelligence. The Analytics team is responsible for pushing our Product, Process and Customer understanding and insight beyond the here and now to create value for the long-term. The team is responsible for coming up with hypotheses, uncovering key insights and developing a point of view on actions across the portfolio of our products and services. About the Role: If you love driving critical thinking and insight into challenging, unstructured problems and working with leaders in the organization to bring those insights into action, this role is for you. This is a hands-on role, however, being a part of a small team gives opportunity to take ownership of the customer / business problem across the spectrum from ideation to setting it up for implementation in partnership with stakeholder teams. About the teamDiverse Experiences 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. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.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 in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.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. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.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 ...