Business Intelligence

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!At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented and bright people. We are looking for a highly analytical Business Intelligence Engineer to join our Prime Video team.As a Business Intelligence Engineer, you will partner with cross-functional stakeholders to gather, translate, and report customer insights which will have a direct impact on decision making and strategy for Prime Video Product and Tech teams. You will support the production of key business reporting to our stakeholders, build scalable data solutions to complex problems and perform ad-hoc deep dives. In doing so, you will have the opportunity to work with the one of the largest and most complex data warehouses in the world and collaborate with multiple Tech, Science, Product, and Marketing teams across the globe.This position requires high judgment, excellent analytical abilities, a creative mind to invent solutions to improve our interaction with the customer; it also offers broad exposure to various business, product, and technical teams across Amazon. You should thrive and succeed in an entrepreneurial and ambiguous environment. If you are passionate about video entertainment, detail-oriented, organized, and systematically break down problems with ease, we would love to speak with you!Key job responsibilities- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, to drive key business decisions- Apply advanced analytics, statistics and Machine Learning to derive impactful insights into customer behavior- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation- Build strong relationships with upstream engineering teams to enhance upstream data sources and develop data processes that enable more scalable and accurate reporting- Support Product and Business teams as required on ad-hoc and longer term analysis requestsA day in the lifeYour day may begin with gathering business requirements from product team to support decision making and product development, utilizing complex SQL queries to analyze data from millions of Prime Video customers. This involves building data pipelines, transforming raw data into insightful visualizations and dashboards, identifying key trends and anomalies. You also apply analytics to dive deep on A/B testing results, offering strategic insights to the product team. Collaboration with the tech and science teams, in which you provide data-driven recommendations for tech design, Machine Learning model development and evaluation.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data modeling, warehousing and building ETL pipelines- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with data visualization using Tableau, Quicksight, or similar tools ...

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. This role is in Amazon's Worldwide Grocery Stores Tech Data and Analytics organization. We work with all aspects of the grocery business (e.g., Merchandising, Pricing, Promotion, Supply Chain, Finance, Marketing, Space Planning, etc.). We own and develop within an in-house platform to configure and build Analytics Solutions across multiple business domains.This role is both creative and data driven – we need someone who can review our current infrastructure, isolate improvement opportunities, help us think big about what to consider in terms of localization, scalability, commodity management, and long term automation. We are looking for someone who will scope and execute analyses to formulate conclusions and recommendations to be presented to senior leadership on business growth opportunities. You will also be responsible for producing insights that will help shape effective strategies to better meet our customers’ needs. You will work closely with internal teams, and partners across the grocery business line and other partner teams in these areas to provide decision support in this rapidly evolving space.This role requires an individual with deep knowledge of business intelligence solutions, and have the ability to work with technology, product development, and business teams. The successful candidate will have passion for data and analytics, be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and entrepreneurial environment, and driven by a desire to innovate Amazon’s approach to this spaceKey job responsibilities- Develop new and innovative analyses to inform product strategy and design. This analysis will determine approach and roadmap for key strategic initiatives.- Analyze relevant business information, and uncover trends and correlations to develop insights that can materially improve our product and strategy decisions.- Develop clear communications for recommended actions.- Establish new, scalable, efficient, automated processes for tracking and reporting on progress of initiatives.- proactively and continually improve your level of knowledge about Amazon’s Grocery business, the business processes in the domain of your key stakeholders, and relevant technologies supporting those processes.- understand functional requirements and work to improve the end user experience for the application supported.- employ modeling and flowcharting techniques to communicate technical solutions in a simple but effective manner.- Collaborate with Product Managers and stakeholders to define deliverables and timing.- work with Product Managers to build mockups and prototypes of applications or reports- analyze data and design data models to support Applications and AnalyticsAbout the teamWe enable sophisticated, fact-based decision making across Amazon Grocery by delivering constantly evolving technology and analytic capabilities. This team will solve challenging and novel problems every day and have the opportunity to redefine the grocery industry while collaborating with multiple teams across WFM and Fresh. You will be able to enjoy and contribute to the unique blend of Amazon and WFM Tech culture. You will be based out of Austin, TX, one of the best places to live and work.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 ...

Do you have a desire to make a major contribution to the future in the rapid growth environment of Cloud Computing? Amazon Web Services is looking for a Sr Business Intelligence Engineer to help build a scalable, predictive, and prescriptive business analytics platform that supports the AWS Infrastructure Supply Chain Finance (SCF) organization. You will be part of the Finance Analytics team working with Business Analysts and Data Engineers to achieve our goals.You will have a passion to dive deep, a high level of customer focus and a track record in process improvement. This role requires an individual with excellent analytical abilities, strong knowledge of business intelligence solutions and the ability to work with Finance, quantitative and business teams. You will lead multiple automation and controllership initiatives across the Finance org. You will be primarily using but not limited to AWS solution stacks like Redshift, S3, Glue, Lambda, Data pipeline and reporting tools such as Tableau and Alteryx/KNIME to implement BI solutions.Key job responsibilities Develop and implement scalable and reliable analytics, tools, KPI dashboards, and metrics that drive key supply chain, financial, and procurement decisions. Design and implement metrics dashboards to deepen understanding of cost structures, capital spend, and variances highlighting opportunities for improvement. Collaborate with Finance, Tax, Supply Chain, Procurement, and Engineering to capture requirements and deliver analytics solutions. Develop and implement analytics to continually improve continuity of supply and operational efficiencies. Apply automation so that with every iteration on a problem, you build your solution to have maximum scale and self-service ability by stakeholders. Understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use. Recognize and use advanced analytical techniques to recommend prescribed/ optimized courses of action to users. Interface with Data Engineers, Business Analysts and stakeholders to deliver complete BI solutions. Employ data mining, segmentation, and other analytical techniques to capture important trends in the supply chain, cost, and customer base. Participate in strategic and tactical planning discussions to interface with business customers, gathering requirements and delivering complete reporting solutions.BASIC QUALIFICATIONS- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Knowledge of data warehousing and data modeling ...

Amazon continues to invest in its Advertising business to tap into the growing online advertising market. The Publisher Technologies team builds and operates extensible services that empower 1P Publishers to optimize their customer experiences and improve monetization. We focus on creating flexible, standards-based solutions that allow Publishers to innovate while seamlessly interacting with other advertising technology providers—both internal and external.The Publisher Technology Data, Insights, and Analytics team accelerates data-driven decision-making by providing near real-time data, data management tools, actionable insights, and a user-friendly reporting experience. Our data products equip Publishers and Monetization teams with the tools needed to understand advertising performance and support scalable machine learning initiatives.In this role, you will join a team that empowers hundreds of teams across Amazon with near real-time data to support big data analytics, insights, and machine learning at scale. You will work cross-functionally to design, develop, and implement advanced data tools, dashboards, and ETL pipelines to support advertising strategies and optimize revenue streams. You will analyze large datasets to identify patterns and trends and design A/B experiments to enhance both Publisher and advertiser experiences.Key job responsibilities- Design, implement, and lead end-to-end projects and experiments, addressing complex or ambiguous business problems.- Build and automate data pipelines for ETL processes and support scheduling using industry-standard tools.- Create dashboards and reporting tools using Tableau, AWS QuickSight, or similar platforms to provide actionable insights for stakeholders.- Conduct ad-hoc analyses and produce reports to assist business teams in making data-driven decisions.- Recommend strategies and methodologies for solving business problems using statistical modeling, optimization, and machine learning, ensuring quantifiable impact.- Mentor and guide junior team members while being a key influencer in shaping the team’s business strategy and collaborating with related teams.- Communicate methodologies, insights, and recommendations effectively to senior leadership, adapting technical depth based on the audience.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 Appstore is a fast-growing Organization and responsible for providing delightful customer experiences across Amazon devices (FireTV, Tablets) with a vast selection of relevant apps, games, and services. The Appstore team is seeking an experienced Business Intelligence Engineer to join our central Data Engineering and Analytics team. The role will be responsible for closely partnering with Data Engineers, Software Development Engineers to build data transformations and provide actionable insights for our Product and Tech stakeholders. This is an exciting opportunity to work on very large datasets and influence products that impact tens of millions of customers on a daily basis.Key job responsibilitiesIn this role, you will:- Analyze and extract relevant information from large, complicated data sets of structured and unstructured data to identify insights to influence product roadmap.- Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support business teams.- Collaborate with product and technical teams to develop and track KPIs, automated reporting/process solutions and data infrastructure improvements to meet product team needs.- Serve as liaison between the product and technical teams to provide actionable insights and drive deep dive investigations into future improvements.- Drive data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.BASIC QUALIFICATIONS- 5+ years of professional experience with Bachelor's degree in Computer Science, Engineering, Math, Finance, or related discipline- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with data modeling, data warehousing, and building ETL pipelines- Experience using business intelligence reporting tools (Excel, Tableau, Business Objects, Cognos etc.) and AWS big data technologies (Redshift, EMR, S3 etc.)- Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner ...

Advertising's Support Products & Services team is searching for a curious, detail-oriented Business Analyst (BA) to join a multi-faceted Business Intelligence team that serves a broad variety of product, program and engineering stakeholders. Key job responsibilitiesThe BA is ultimately responsible for ensuring their stakeholder teams can make fast and high quality decisions by providing the right data, in the right format, at the right time and in a sustainable way.Specific responsibilities include:• Collaborating with stakeholders to propose and implement new metrics or enhancements• Developing reports and dashboards to provide insights into advertiser support metrics and performance• Conducting root cause analysis on advertiser pain points and service issues• Supporting the rollout of initiatives and technologies, including AI-driven solutions• Assisting with maintenance and operational excellence • Documenting current processes and workflowsAbout the teamThe Support Products & Services (SP&S) team’s mission is to provide the right support and services at the right time to ensure advertisers can effectively grow their business through advertising. For Amazon's 1.8MM self-service advertisers, this includes providing education in their workflows and resolving issues they encounter with excellent contact center support.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 ...

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 ...

Do you have a passion for deriving insights from data to make a difference in people's lives? Are you a Day 1 thinker who is passionate about pushing the boundaries of conventional talent development approaches and innovating on behalf of our customers? If so, we would like to hear from you!PATOE is a centralized technology, data, reporting, and analytics organization that supports over a million employees globally, spanning support across NA Customer Fulfillment, Global Operations Learning & Development and PXT Capability & Impact, and Employee Relations.We are seeking a seasoned Business Intelligence Engineer for our L&D pillar to further our mission of building technology and programs that help our more than 1 million employees reach their full potential from onboarding through career advancement. In this role, a BIE will play a pivotal role in designing, executing, and optimizing data solutions to empower our front-line leaders and ensure they are well-equipped to effectively lead the largest hourly population in Amazon.The ideal candidate will be enthusiastic about translating complex and ambiguous problem statements into actionable solutions, working across L&D teams worldwide. In this role, you will partner with our program managers to consult, prioritize, develop and implement KPIs, and automate reporting processes. Your work will play a major role in devising the team's expansion strategy, technical foundation of our ecosystem and scaling our impact across the org. This role provides opportunities to test new approaches and innovate in an exciting, fast-paced environmentKey job responsibilities• In this role, you will use analytics to enhance our L&D product offerings and improve employee experience• Collaborate with PATOE developers and evaluate internal processes, approaches, and technical systems to establish highest standards and ensure safety for our associates and leaders• Apply deep analytics and business intelligence skills to extract meaningful insights and learning from large and complicated data sets• Design, develop and maintain scaled, automated, user-friendly systems, reports and dashboards• Support cross-functional teams on the day-to-day execution of projects and initiatives• Deliver business reviews to the senior management team regarding progress and roadblocks• Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current program performance, and ad-hoc investigations to support future improvements or innovations• Recognize and adopt best practices in reporting and analysis through data integrity, test design, analysis, validation, and documentation• Conduct advanced statistical analysis to identify trends and opportunitiesAbout the teamThis role sits within the larger People Analytics, Technology, and Operations Excellence (PATOE), a team of Engineers, Data Professionals, Product Managers and Scientists supporting People Experience & Technology (PXT) and Operations worldwide. The role will report into People Data & Analytics team embedded within PATOE and comprised of Business Intelligence and Data Engineers. We design, build and sustain scalable data products that support Employee Relations, Global Learning & Development, and NA OperationsBASIC QUALIFICATIONS- 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- Experience defining requirements and using data and metrics to draw business insights- Experience with SQL- Experience making business recommendations and influencing stakeholders- Worked extensively in large scale data bases and data warehouses. ...

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 ...

Love science and data? So do we! The Alexa Devices, Sales & Marketing organization is looking for an experienced Data Engineer to deliver solutions that help deepen our understanding of customers. You will be joining the Alexa Marketing Science (AMS) team, whose mission is to surface timely, scientifically-grounded insights about customers to guide marketing and product leaders.The ideal candidate has excellent technical skills, analytical abilities, written and verbal communication skills, and the ability to influence cross-functional teams. They are an expert with SQL, ETL, Tableau (or similar data visualization tools) and have an ability to quickly translate business requirements into technical solutions. The candidate is a self-starter and team player and able to think big while paying careful attention to detail.As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments using the latest set of tools. We help marketing and product teams in Alexa Devices understand our customers by providing data and metrics that provide insight into user experience. Our team is responsible for mission critical research and analytical reports and metrics that are viewed at the highest levels in the organization. We are also working on near-real-time analytics using the latest set of tools for data visualization and investing in Big Data technologies. You should have deep expertise in the design, creation, management, and business use of extremely large datasets, as well as data security and privacy standards and best practices.The role offers a unique opportunity to manage and build new data storage, pipelining, and visualization solutions from the ground up. You should possess high attention to detail, have excellent communication skills, resourceful, customer focused, team oriented, and have an ability to work independently under time constraints to meet deadlines. You will be comfortable thinking big and diving deep. A proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced, dynamic business environment is strongly preferred. Above all you should be passionate about working with large data sets and someone who loves to bring datasets together to answer business questions and drive change.Key job responsibilities· Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using AWS services and internal BDT tools· Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, Redshift, and OLAP technologies to support research needs· Interface with researchers and business stakeholders, gathering requirements and support ad-hoc data access to large data sets· Build and deliver high quality data sets to support research scientists and customer reporting needs· Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers· Become a subject matter expert on Alexa and Amazon data sources relevant to Alexa marketing researchers’ use cases, and assist non-technical stakeholders with understanding and visualizing data· Educate the team on best practices for upholding data security and data privacy standards· Maintain clear and consistent documentation of relevant data sources and code frameworksAbout the teamThe Alexa Marketing Science (AMS) team is a team of Research Scientists and UX Researchers that surfaces timely, scientifically-grounded insights about customers to guide marketing and product leaders.BASIC QUALIFICATIONS- 3+ 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 ...

The North America Transportation team is seeking a Business Intelligence Engineer II (BIE) to focus on sustainability initiatives. As the first BIE dedicated to this area, you will play a crucial role in developing data visualization tools and recommending improvements to build a more resilient and sustainable transportation network.Success in this role requires strong analytical skills combined with the ability to effectively communicate and influence change across different business functions. You will need to translate complex data into actionable insights and persuasively present recommendations to diverse stakeholders.Key job responsibilities- Analyzing large datasets to identify opportunities for sustainability improvements in transportation operations- Developing data visualization dashboards and reports to track sustainability metrics and performance- Collaborating with cross-functional teams to understand business needs and translate data insights into actionable initiatives- Presenting data-driven recommendations to leadership and influencing decision-making around sustainability strategies- Staying up-to-date with industry trends and best practices in sustainable transportation and data analyticsBASIC 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 ...

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.Want to be part of a team that is helping redefine the future of video advertising? Prime Video is looking for a world-class Business Intelligence Engineer to help execute against our team’s strategic advertising initiatives and change how advertisers engage with consumers via streaming media around the world.Video Advertising is rapidly evolving as customers shift their viewing experiences from traditional linear TV to streaming via connected devices. Prime Video is a rising player in this space. We have differentiated assets in terms of consumer experiences and audience insights against a breadth of exclusive content which positions us well for the long-term. As a Sr Business Intelligence Engineer on the Ads CX team, you will drive decision-making by transforming advertising data into insights. In this role, you will collaborate with Product Managers, Engineers, and Program Managers to provide analytical support, using statistical techniques and data visualization tools to uncover patterns and metrics. You'll be responsible for developing data models, creating dashboards, and delivering recommendations that help optimize advertising strategies and user experiences across streaming platforms.Key job responsibilities· Own, design, develop, document, and manage scalable solutions for new and ongoing metrics, reports, analyses, visualizations, and dashboards to support business needs· Design and drive experiments to form actionable recommendations. Present to business leaders in both ad-hoc forums and routine business reviews (MBR/QBR) to drive decisions· Be able to swiftly prioritize and multi task based on severity level and strong business judgement.· Partner with Product Managers, Engineers, and Program Managers to design reports and analyses which answer important business questions.· Identify new opportunities to improve our Fashion Ads CX on Prime Video based on data insights About the teamAs 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!BASIC QUALIFICATIONS- Experience programming to extract, transform and clean large (multi-TB) data sets- 5+ years of SQL experience- 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 Supply Chain team is looking for a Principal Product Manager, as part of the Supply Chain Placement analytics team. You will contribute to defining and building inventory placement success metrics, and finding ways to reduce distance to customers by placing the right items in the right Amazon building in order to increase delivery speed and reduce costs. You will chase defects in our systems, leaving no stone unturned to delight our customers with wider selection. This role will give you a unique view on Amazon systems, process and operations, interacting with planning teams, fulfillment centers and worldwide technical teams. If you are someone who has shown success in analyzing, diving deep in complex data, streamlining and identifying process improvement opportunities and pioneering new ways to do things, we’d like to talk to you.As a Principal Product Manager, you’ll:- Define strategy by proactively identifying customer needs and looking around corners for business impact opportunities- Drive strategic alignment with senior leaders using data and insights through decision narratives, and proposals.- Set multi-year vision and strategy, inspiring annual plans for a team to execute- Be the customer voice; always work backwards from customers to guide roadmap prioritization decisions.- Guide project, science and engineering managers with trade-offs between customer benefit and complexity.- Own regular business reviews with senior leaders/executives WW.- Evangelize through training, white papers, and presentations to executivesKey job responsibilitiesYou will lead critical large-scale initiatives for inventory placement WW leveraging analytics, systems and complex data management/visualization and presenting those to different levels within the company:- Design and own the right set of metrics measuring inventory placement performance- Work closely with partner teams to align deliverables such as supply chain roadmaps- Recommend improvements to the placement strategy using modelling and large datasets. You'll guide planning teams and other relevant stakeholders with regards to the mix of products to place in Amazon buildings, maximizing selection and reducing distance to customers and spinning the Amazon flywheel!- Pioneer new ideas to increase speed and reduce delivery cost to customers- Pilot and implement your recommendation in production through smart configurations in Amazon systems- Partner with worldwide technical teams to develop new features- Clearly communicate goals, roles, responsibilities, desired outcomes, and progress to cross-functional project teamsA day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!BASIC QUALIFICATIONS- - 10+ years of product, program or similar experience- - Experience owning/driving roadmap strategy and definition- - Experience with feature delivery and tradeoffs of a product- - Experience with cross-functional teams in an ambiguous environment- - Strong data analysis skills, ability to produce, interpret and draw conclusions from data, including proficiency in SQL and Microsoft Excel- - Strong written and verbal communication skills, with history of senior leader interaction ...

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

The Data eNgineering and Analytics (DNA) Wizardry team is excited to have a new wizard join our coven! The DNA team spans across Data Architecture (DA), Data Engineering (DE), Business Intelligence (BI) and Data Science (DS) functional areas, and is responsible for providing data and analytic solutions for the North American Stores (NAS) Organization. This Sr. BIE role will own the data pipelines and final customer interfaces (Turismo, QuickSight) for the NAS Organization. This role will build core metrics and deep dive them to generate insights that directly impact organizational strategic decisions and priorities. The role requires high proficiency in complex SQL and Python scripting, often joining together multiple types of data sets that range from normalized summaries to raw information spanning many diverse sources. The role will need to have a high bar for ownership and work autonomously to create high-quality products for the customer (internal). The role is required to communicate project roadmap, prioritization, and release notes of new products with customer and stakeholder groups up to senior leadership. In addition, this role will influence our team and customers to build scalable and sustainable analytic solutions. They will review product development and provide mentorship on projects.Key job responsibilities-Develop and drive best practices to align with our theme, Accuracy, Complete and Timely (ACT) information: data integrity, test design, analysis, validation, and documentation-Mine data from database tables (ex. Redshift, MySQL, Oracle) using SQL and log files by writing scripts (ex. PERL, Python, UNIX)-Build solutions to have maximum scale and self-service ability for stakeholders-Own the design and development of metrics, analyses, dashboards, etc. to drive key business decisions-Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting-Lead the design, implementation, and deployment of BI solutions for complex and ambiguous problems-Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to key stakeholders-Simplify and automate reporting, audits and other data-driven activities-Partner with our Data Engineering team to enhance data infrastructure, data availability, and broad access to customer insights-Learn new technology and techniques to meaningfully support product and process innovation-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 innovationA day in the lifeIn this role, you will transform complex data into actionable insights. Your data-driven solutions will influence strategic planning and inform daily decision-making. You will leverage a range of descriptive, diagnostic, predictive, and prescriptive analytics techniques to uncover insights and opportunities.About the teamOur mission is to simplify data-driven decision making for customers through effective analytics solutions. We deliver accurate, complete, and timely information while maintaining rigorous quality standards. The solutions transform complex data into actionable insights, eliminating the need for technical expertise. This enables customers to optimize their business performance through direct data analysis.The team builds robust processes and identifies improvement opportunities while partnering with stakeholders to enhance internal systems. We ensure proper data governance, visibility, and accessibility for all managed datasets. Our solutions focus on improving business performance (Increase Sales, Decrease Time and/or Reduce Cost) for the NAS organization. BASIC QUALIFICATIONS- 7+ years of SQL experience- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience working directly with business stakeholders to translate between data and business needs- Experience building measures and metrics, and developing reporting solutions ...

The Amazon Cross Devices Marketing team is seeking an experienced Sr. Business Intel Engineer with broad technical skills to develop in-depth business understanding, perform deep-dives, develop data visualizations and build automation solutions that drive business decision making and process improvement. The ideal candidate will draw upon advanced analytical, problem solving skills, and passion for delivering business insights and analytics. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun.Key job responsibilitiesThis role will be responsible for providing regular analysis and insight to marketing channel and Devices product line leaders. This role will be expected to proactively identify trends and facilitate analysis to identify issues and that impact Devices and Amazon wide traffic. The ideal candidate will have an extensive background in running SQL queries, performing deep-dives and generating actionable insights.This is critical role for the organization and requires an individual with effective communication skills, business acumen, and the ability to work across various functional teams and internal partner teams. We are looking for individuals who are self-starters comfortable with ambiguity, demonstrate strong attention to detail, and have the ability to work in a fast-paced and ever-changing environment.About the teamAmazon Devices—the team behind the best-selling Amazon Echo, Kindle E-Reader, Fire Tablet, Fire TV, and Ring, Blink, and eero Home Security product lines. As part of the cross-devices marketing group, we operate in one of the most diverse businesses at Amazon, empowered to explore new ideas, channels, and tools, setting the stage for how we’ll do business tomorrow. BASIC QUALIFICATIONS- Bachelor's degree- 5+ years experience writing SQL queries and creating business intelligence reports- Proven expertise in Tableau and Power BI- Experience designing self-service reporting solutions and automating data processes- Track record of developing and monitoring KPIs to drive business decisions- Strong analytical skills with ability to translate data into actionable insights- Demonstrated organizational and prioritization abilities- Excellent communication skills for presenting to senior leadership- Ability to navigate ambiguity in a fast-paced environment ...

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, innovative and driven leaders. If you'd like to help us build the place to find and buy anything on-line, this is your chance to make history and be intimately involved in growing our business by leading and supporting hourly staffing initiatives. The vision of Workforce Intelligence is to design the ideal workforce to meet the customer promise anywhere. The Workforce Intelligence team applies data and insights to optimize the experience and operations for Amazon’s largest candidate population – Tier 1 Associates, who bring the magic of Amazon’s industry-leading Customer Fulfillment experience to life. The pace at which job creation and hiring must happen to support the scale and complexity of Amazon businesses is a problem Amazon is uniquely qualified to solve for and continually innovate on. Workforce Staffing (WFS) literally hires by the hundreds of thousands across multiple role times, job attributes, and for a range of business lines.As a Data Engineer, you will provide technical leadership, lead data engineering initiatives and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective. You strive for simplicity, demonstrate creativity and sound judgement. You deliver data solutions that are customer focused, easy to consume and create business impact. You are passionate about working with huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long term view on architecting advanced data eco systems. You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to support a variety of customer use cases/applications.In this role, you have the opportunity to: - Design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science. - Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools. - Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture. - Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation - Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.Key job responsibilitiesAs a Data Engineer with Workforce Intelligence, you will partner with Software Engineers, Data Scientists and Business Intelligence Engineers. You will gain a deep understanding of our services and the data they produce, and become our resident expert in how to transform that data into a format that is useful for analytics and business intelligence. You will proactively help to identify new data for integration with our platform, and propose and implement new technologies to help us better understand our data.In this role, you will serve as the expert in designing, implementing, and operating a stable, scalable, low cost environment to flow information from the source systems to data warehouse into end-user facing reporting applications such as Tableau or AWS QuickSight. Above all, you will bring large datasets together to answer business questions and drive data-driven decision making.About the teamThe Workforce Intelligence team supports the Workforce Staffing organization by transforming data into insights on high volume hiring within Amazon. While WFS is responsible for the management of the Tier 1 talent supply chain, the Workforce Intelligence team in particular focuses on defining analytics that measure the performance of the program. While we continue to work on metrics that help monitor the health of the program we also spend efforts on identifying efficiencies in the process path through the power of data and predictive analytics.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience as a Data Engineer or in a similar role ...

Within Amazon, the Selling Partner Risk team launches products and services that detect and prevent abuse on our store before it impacts a customer. We work with business partners across the organization to find and close gaps that lead to abuse and create and enforce selling policies that help ensure we have a fair marketplace. Our product and program managers work hand in hand with our engineering and science partners to develop and implement innovative solutions that help sellers become successful and stop bad actors at scale, globally.We are seeking a candidate who loves solving complex problems, is passionate about stopping bad actors and protecting customers. They should have good analytical skills and a proven track record of being able to successfully identify a solution, prepare a plan and execute it with good results.Key job responsibilitiesWe are seeking a Business Analyst to drive analysis and insights to help our teams make meaningful business decisions. As a Business Analyst, you will focus on improving the success of sellers in our store by analyzing data, discovering and solving real world problems, and building metrics and business cases to improve customer experience. We are focused on your success and want to build future leaders within Amazon. A key component of the role is to identify process and system improvement opportunities by monitoring existing metrics, analyzing data, and partnering with scientists, risk managers and program managers within the team. You will design and develop automated reporting solutions to surface potential gaps in existing mechanism and support data-driven decisions. You will define business logic with business owners and deploy heuristic solutions. Lastly, you will enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.BASIC QUALIFICATIONS- 4+ 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- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience with Excel- Proven experience writing scripts using SQL, extracting and analyzing the data to provide precise reports to stakeholders.- Demonstrated ability to consistently maintain a high level of integrity and discretion to handle confidential information.- Proven superb customer service to the leadership team and other key stakeholders- Demonstrated written and verbal communication skills.- Proven ability to present complex information in a clear and concise manner to executives. ...

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 ...