Business Intelligence

Senior Data Engineer Come build the future as a Senior Data Engineer at Amazon, where you will be inspired working along best-in-class inventors and innovators! You will have the opportunity to create meaningful experiences that deliver on the ever-evolving needs of our customers, and your work will impact millions of people around the world. As an Amazon Senior Data Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you’ll be creating for our customers.Apply now and you will be eligible for Amazon Senior Data Engineer positions that are based on your preferred location, team, and more. We’re hiring across Amazon Stores in the United States and Canada. Teams with available positions include, but are not limited to:• Consumer Technology: Build new generation features and products for amazon.com, constantly improving the Customer and Seller experience for billions around the globe. Whether building site wide features such as reviews and recommendations, category specific software for the likes of Pharmacy, Electronics, Digital Software and Video Games or seller infrastructure, there are a variety of complex problems to tackle using a range of technologies in the design of your technical solutions. • Operations Technology: Shape the future of transportation planning and execution on a global scale, that impacts hundreds of fulfillment centers, thousands of Amazonians, and millions of customers across the world. Your technology will support thousands of operators worldwide to design, build and run the best-in-class Amazon transportation network. We are building intelligent software to make transportation more reliable, faster, and less costly, providing a better and less expensive experience for our customers.• Human Resources Technology: Create a seamless experience for millions of Amazonians and/or candidates. Whether supporting technologies for onboarding, time and attendance, compensation, amazon.jobs, or recruiting, you’ll deliver robust feature sets, elegant designs, intuitive user interfaces and systems that make it easy for Amazonians to excel at performing critical business functions.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• Set the technical strategy for the team• Lead complex technical initiatives within the team• Explore technical needs and bring solutions to the table• Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.• Assist in developing project plans and commitments, and then deliver consistently against those commitments.• Build good working relationships within the team by communicating clearly both verbally and in writing• Continuously optimize solutions to improve overall Platform performance, availability and fault tolerance• Drive Operational excellence through metrics driven approach• Understand customer pain points, build solutions to make large and/or complex data more accessible, understandable and usable by applications and teams• Mentor and lead developers by cultivating curiosity, deep technical understanding through collaboration, code reviews, and leading by example.BASIC QUALIFICATIONS- Bachelor’s degree in Information Technology, Software Engineering, Computer Science, or related field.- 7+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Strong knowledge of SQL and demonstrated ability to apply SQL to a wide variety of business require-ments- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience mentoring team members on best practices- Experience with data manipulation and visualization tools such as Tableau, Power BI, etc- Strong knowledge in data warehousing concepts and data platforms and architecture ...

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.AIS (AWS Infrastructure Services) is looking for a Sr. Business Intelligence Engineer to be responsible for working across many high visible product areas. As a member of the AIS Supply Chain team, you will be at the forefront of this organizational capability to increase our understanding of supply chain risks within our hardware products. The Supply Chain Resiliency team is responsible for identifying risks to avoid disruptions of product delivery by building a framework that anticipates, identifies, and mitigates high priority risks with action plans. As a resiliency BIE, you are a builder at heart on mechanisms, systems and automation. You have a passion for using data in order to drive business actions. Your goal is to improve current data and automation solutions or innovate new and simpler ones to achieve robust risk insights. You have proven experience with information retrieval, data mining, building, cleaning, and training foundational models, data science, Gen AI, ML, and LLM. The successful candidate will be able to retrieve, integrate, visualize and present critical data in a format that is immediately useful to improve the business decision process. You thrive at analyzing and modeling very large data sets, diving below the surface to identify the root causes rather than high-level trends. This role requires an individual with excellent analytical abilities, critical thinking, and to balance business acumen working with technical teams and systems, non-tech teams, and senior leadership. You are a self-starter comfortable with ambiguity, with strong attention to detail, and knows how to develop a strategy, execute, and measure and deliver outcomes.Key job responsibilities• Apply deep analytics and business intelligence skills to extract meaningful insights and learn from large and complex data sets using AI/ML.• Partner with stakeholders to define priority of BI projects, reporting, FMs, RAG, RLHF.• Lead high impact AI/ML projects. Perform deep-dives to derive actionable insights; Creating models to predict risk actions and improve outcomes and optimize business processes.• Build self-service reporting tools and dashboards• Provide SQL support and manage queries and databases (SQL, Tableau, etc.)• Build various data visualizations to tell the story of business trends, patterns, and outliers that result to meaningful actions.• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.• Research industry trends and extract to align resiliency strategies and mechanisms.About the teamAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- Bachelors degree in Computer Science or Engineering, SDE or related technical, or equivalent of 7+ years of related experience.- 7+ years of experience programming to extract, transform and clean large data sets (multi-TB)- 7+ years of experience in scripting for automation (e.g. Python) and advanced SQL skills.- 7+ years of experience with data visualization using Tableau, QuickSight, or similar tools- 7+ years of experience working directly with business stakeholders to translate between data and business needs- 7+ years of experience in HW product management and/or in supply chain and/or end to end product development lifecycle. ...

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 and Analytics team for Fulfillment By Amazon - Defect Prevention and Reconciliation (DP&R). Fulfillment By Amazon - Defect Prevention and Reconciliation team is looking for a business analyst to analyze existing initiatives and operations, deep-dive/root cause issues as they come up, develop new business metrics, identify and quantify opportunities for improvement, and partner with internal stakeholders to help drive the business of Fulfillment by Amazon (FBA) Selling Partners. Key job responsibilities: - Analyze and solve business problems at their root, stepping back to understand the broader context. - Develop solutions that utilize the highest standards of analytical rigor and data integrity. - Write high quality code to retrieve and analyze data. - Seek opportunities to implement advanced analytical techniques within the current environment. - Partner with product/program managers, software development teams, and other stakeholders to drive development of metrics and analyses necessary for evaluation and implementation of new strategies. - Manage and execute entire projects or components of large projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations. BASIC QUALIFICATIONS- 5+ years of tax, finance or a related analytical field experience- 3+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience- Bachelor's degree- Experience defining requirements and using data and metrics to draw business insights- Experience with Excel- Experience making business recommendations and influencing stakeholders ...

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 ...

AWS is one of Amazon’s largest and fastest growing businesses, serving millions of customers in more than 190 countries. We use cloud computing to reshape the way global enterprises use information technology. We are looking for entrepreneurial, analytical, creative, flexible leaders to help us redefine the information technology industry. If you want to join a fast-paced, innovative team that is making history, this is the place for you.AWS Finance Analytics and Science Team (FAST) is responsible for many of the key functions needed by the AWS global sales organization, including building and operating the data resources that provide the AWS sales organization with insights into all areas of business performance. The successful candidate will be an expert with SQL, ETL (and general data wrangling), and have exemplary communication skills. The candidate will need to be comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail. The candidate will know and love working with business intelligence tools and can partner with customers to answer key business questions.Key job responsibilities· Work with business customers to gather requirements and deliver complete data analytical solutions· Learn why customers are asking for data and what their underlying questions and business goals are· Own the design, development, and maintenance of ongoing metrics and analyses used to drive key business decisions· Recognize and adopt best practices, including data integrity, accuracy, and reliability, as well as documentation· Drive data democratization throughout the organization, enabling others to self-serve their data needsBASIC 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 ...

Amazon’s Global Supply Chain (GSC) is looking for a Business Intelligence Engineer for the Supply Chain Innovation (SCI) team. SCI plays an important role in defining and shaping Amazon’s inbound supply chain's long-term strategy. We are responsible for the incubation and execution of highly visible supply chain projects across low-cost storage, bulk fulfillment, inbound cross-docks, fast-deploy fulfillment, and network optimization. Our solutions address the needs of the inbound network in order to meet the speed, cost, and resiliency demands of our customers.In this role, you will be leveraging various analytic and visualization techniques to support data-driven storytelling, and look around corners to continuously raise the bar on our business insights capabilities. You will collaborate across supply chain and research science teams to meet the current and future needs of the business through data gathering, automation, standardization, and reporting.The ideal candidate is an individual with excellent analytical abilities and a creative mind to invent solutions in technical architecture, business process, and financial outcomes. The successful candidate will be a self-starter comfortable with ambiguity, who has a strong attention to detail, and enjoys working with large-scale data.Key job responsibilities• Deep dive into operations execution and business problems, use analytical and statistical rigor to identify trends and opportunities, and present written and verbal analyses to drive improvements • Improve business results through creating best-in-class metrics, analysis, visualizations, and data-driven storytelling • Adopt best practices in reporting and analysis: data needs, data integrity, test design, analysis, validation, and documentation • Develop an understanding of the broad range of Amazon’s data resources, which to use, how, and whenBASIC 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’s Account Integrity team within the Customer Trust and Partner Support organization is looking for a passionate, results-oriented Business Analyst to leverage data to deliver projects with huge strategic impact. This team designs and builds high performance software systems using machine learning that identify and prevent fraudulent activity and maintain high trust levels with our customers. Fraud prevention is a real-money game where our software and analytics teams strive to outsmart those who attempt to defraud Amazon and our customers.As a Business Analyst in the Account Integrity group, you will be responsible for analyzing and reporting large data sets in partnership with product managers, scientists, and engineers to ensure the team is prioritizing the right goals and opportunities to stop bad actors and protect customers.Responsibilities:- Create, maintain, and improve data sets, pipelines and reporting to track and manage important KPIs and goals in the Account Integrity space- Apply your expertise in quantitative analysis, data visualization and data-mining to design alarming system, derive actionable insights and guide product strategy for stakeholders and leadership- Develop internal reporting/visualization tools for self-serve- Provide analytical support for new feature launches- Effectively communicate complex analytical concepts to non-technical stakeholders to drive decision makingKey job responsibilities- Deep diving business trends, analyzing anomalies and guiding business decision-making through data- Building dashboard/scalable metric tracking mechanisms- Working closely with Business and Operations teams to find ways to mitigate bad actor attacks- Ensuring that the team works backwards from the customer problem using dataAbout the teamThe Account Integrity’s mission is to prevent bad actors from using the Amazon brand or Amazon accounts to harm customers, sellers, and the Amazon business.BASIC QUALIFICATIONS- 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- 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- Experience with data visualization using Tableau, Quicksight, or similar tools ...

Are you looking for an opportunity to own a large-scale technology problem? Do you enjoy finding patterns and pushing the boundaries of current possibilities? Are you interested in building reliable and scalable systems that support Amazon's growth? If so, Amazon Devices and Services Finance Technology (FinTech) is the perfect place for you!ABOUT THE TEAMAmazon Devices and Services FinTech is the global team that designs and builds the financial planning and analysis tools for a wide variety of Devices` new and established organizations. From Kindle to Ring and even new and exciting companies like Kuiper (our new interstellar satellite play), this team enjoys a wide variety of complex and interesting problem spaces. They are almost like FinTech consultants embedded in Amazon.ABOUT THIS ROLEThe Amazon Devices and Services FinTech team is expanding our data science team that is building a forecasting solution for the Amazon Devices and Services Finance organization, and we are looking for a Data Scientist to join us.As a data scientist, you will dive deep into data from across Amazon's finance organization, extract new insights, drive investigations and algorithm development, and interface with technical and non-technical customers. You will leverage your data science expertise and communication skills to pivot between delivering science solutions, translating knowledge of finance and operational processes into forecasting models, and communicating insights and recommendations to audiences of varying levels of technical sophistication in support of specific business questions, root cause analysis, planning, and innovation for the future.Key job responsibilities- Create various forecasts, including but not limited to Operational Expenses, and drive adoption of these forecasts by various teams within Amazon for financial and operations planning- Continuously innovate through research and the application of the latest machine learning techniques to drive forecasting accuracy improvement- Perform exploratory data analysis to identify business opportunities and develop a plan to address them- Communicate verbally and in writing to business customers with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendations- Build customer-facing reporting tools to provide insights and metrics which track forecast performance and explain variance- Utilize code (Python, R, Scala, SQL, etc.) for analyzing data and building statistical and machine/deep learning modelsA day in the lifeIn a typical day as a data scientist at Amazon FinTech, you'll begin by delving into complex datasets, applying your technical expertise in feature engineering and exploratory data analysis to uncover valuable insights. You'll utilize both traditional time series forecasting techniques as well as more advanced machine learning algorithms to build accurate and reliable forecasting models that solve complex business problems like Operational Expense (OpEx) Forecasting. Collaboration with business, engineering, and partner teams is essential, as you'll translate your data-driven forecasts into actionable insights that align with strategic goals. Throughout the day, you'll innovate by adapting new forecasting methods, ensuring your solutions are stable, scalable, and fault-tolerant. Your strong communication skills and attention to detail will help you manage and integrate large datasets, solve unstructured problems, and drive projects to completion in a fast-paced, dynamic environment.Join us and be a part of our dynamic team, driving the future of financial technology at Amazon.BASIC QUALIFICATIONS- Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science- 3+ years of data scientist experience- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Experience applying theoretical models in an applied environment ...

As an Applied Scientist on our Learning and Development team, you will play a critical role in driving the design, development, and delivery of learning programs and initiatives aimed at enhancing leadership and associate development within the organization. You will leverage your expertise in learning science, data analysis, and statistical model design to create impactful learning journey roadmap that align with organizational goals and priorities.Key job responsibilities1) Research and Analysis:Conduct research on learning and development trends, theories, and best practices related to leadership and associate development.Analyze data to identify learning needs, performance gaps, and opportunities for improvement within the organization.Use data-driven insights to inform the design and implementation of learning interventions.2) Program Design and Development:Collaborate with cross-functional teams to develop comprehensive learning programs focused on leadership development and associate growth.Design learning experiences using evidence-based instructional strategies, adult learning principles, and innovative technologies.Create engaging and interactive learning materials, including e-learning modules, instructor-led workshops, and multimedia resources.3) Evaluation and Continuous Improvement:Develop evaluation frameworks to assess the effectiveness and impact of learning programs on leadership development and associate performance.Collect and analyze feedback from participants and stakeholders to identify strengths, areas for improvement, and future learning needs.Iterate on learning interventions based on evaluation results and feedback to continuously improve program outcomes.4) Thought Leadership and Collaboration:Serve as a subject matter expert on learning science, instructional design, and leadership development within the organization.Collaborate with stakeholders across the company to align learning initiatives with strategic priorities and business objectives.Share knowledge and best practices with colleagues to foster a culture of continuous learning and development.BASIC QUALIFICATIONS- Experience programming in Java, C++, Python or related language- Deep understanding of ML/Generative AI models ...

The Learning & Development Science team in Amazon Logistics (AMZL) builds state-of-the-art Artificial Intelligence (AI) solutions for enhancing leadership and associate development within the organization. We develop technology and mechanisms to map the learner journeys, answer real-time questions through chat assistants, and drive the right interventions at the right time. As an Applied Scientist on the team, you will play a critical role in driving the design, research, and development of these science initiatives.The ideal candidate will lead the research on learning and development trends, and develop impactful learning journey roadmap that align with organizational goals and priorities. By parsing the information of different learning courses, they will utilize the latest advances in Gen AI technology to address the personalized questions in real-time from the leadership and associates through chat assistants. Post the learning interventions, the candidate will apply causal inference or A/B experimentation frameworks to assess the associated impact of these learning programs on associate performance. As a part of this role, this candidate will collaborate with a large team of experts in the field and move the state of learning experience research forward. They should have the ability to communicate the science insights effectively to both technical and non-technical audiences.Key job responsibilities* Apply science models to extract actionable information from learning feedback* Leverage GenAI/Large Language Model (LLM) technology for scaling and automating learning experience workflows* Design and implement metrics to evaluate the effectiveness of AI models* Present deep dives and analysis to both technical and non-technical stakeholders, ensuring clarity and understanding and influencing business partners* Perform statistical analysis and statistical tests including hypothesis testing and A/B testing* Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentationBASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity.Project Kuiper is looking for a talented Senior Business Intelligence Engineer. This role is responsible for analyzing large sets of data and building pipelines for automated dashboards and reporting in support of North America Consumer Operations and Lifecycle Management teams. A successful candidate will be independent, comfortable with ambiguity, and adept at dealing with large volumes of data, including geospatial data. We are looking for someone who has built end-to-end analytical workflows, has experience in data visualization, and is obsessed with driving insights on statistically sound data. Key job responsibilities- Analyze large data sets to identify patterns, understand drivers, and generate insights for professional installation demand, availability, and speed; customer experience, satisfaction, and churn; and customer contact trends- Write queries to extract data and insights combining datasets within Kuiper with publicly available datasets- Design, build, and maintain automated reporting, dashboards, and recurrent analysis in support of data driven decisions across North America Consumer Operations and Lifecycle Management teams- Identify opportunities for automation to accelerate insight generation- Analyze and create visualization of large geospatial data to drive subscriber growth strategies- Leverage Amazon systems and tools to effectively work with, process, and analyze large datasets- Deliver comprehensive, written strategy documents considering different types of data and inputs across a broad range of stakeholdersExport Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.BASIC QUALIFICATIONS- 5+ years of professional or military experience- 4+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing, and building data pipelines ...

Excited about advertising technology? Love Books? Join the Ads Product and Technology (AdPT) team at Amazon focused on building the next generation of advertising products for the Books category. Amazon is investing in technology to unleash superior funnel insights with the purpose of driving return on investment for all advertisers, while powering a better shopping experience with more relevant ads for Amazon retail customers. We are doing this with innovative advertising experiences, both free and paid products, all backed by Amazon's scale and commitment to customer experience. Online advertising includes the highest levels of challenge on the technical side, with high transactional loads, big data, modeling, cross-stack product and UX design, combined and directly connected with a marketplace of supply and demand. It is a high stakes, competitive industry, which attracts the highest level of research and engineering investments. Amazon is just getting started, and there is a lot of opportunity for seasoned talent to come in and significantly shape how advertising based monetization of ecommerce property takes shape on the web. The work developed in the team will become part of the “secret sauce” and core business playbook at the company level. We are looking for a passionate and experienced Senior Business Intelligence Engineer (Sr. BIE) to lead the design, implementation, and delivery of Business Intelligence (BI) solutions for our fast-growing advertising portfolio. As a Sr. BIE, you will play a key role in shaping the product vision and driving monetization strategies for ad products like Sponsored Products, Sponsored Brands, Author and Brand Stores, Posts, and the Amazon Demand Side Platform. These tools help book advertisers – from large publishing houses to independent authors – to differentiate their brands, build loyalty, and drive awareness and sales across Amazon’s diverse platforms, including Amazon.com, Kindle, Audible, and Goodreads.You will be embedded within the Books Ads Product team, collaborating with cross-functional stakeholders such as finance, tech, data science, and operations to develop insights and shape strategic decisions. As a Sr. BIE, you will be instrumental in analyzing and presenting complex data to inform product direction, drive innovation, and optimize ad performance for book advertisers. This person will have solved complicated problems with elegant, simple solutions. They must be able to thrive and succeed in an entrepreneurial environment, and not be hindered by ambiguity or competing priorities. High judgment, negotiation skills, ability to influence, analytic talent, and leadership are essential to success in this role.Key job responsibilitiesUse analytical and statistical rigor to identify performance gaps and opportunities for optimization. Own the design, development, and maintenance of datasets, ongoing metrics, analyses and dashboards to drive key business decisions. Create effective mechanisms for understanding feature level opportunities, continually improving ongoing reporting and analysis processes, automating or simplifying self-service support for customers. Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting. Partner closely with Books Ads Product Team to work backwards from the end state for customers to define product and design requirements, and establish and measure success criteria in ambiguous areas like performance optimization. Represent the quality and growth of business in organization-wide business reviews and documents.A day in the lifeAs a Sr. BIE on the Books Ads team you will work backward from the customer and use your analytical and statistical rigor to identify business opportunities and drive business decisions, and also suggest ways to improve processes and incorporate operational excellence best practices. You will partner with product, engineering, science, and design to articulate and execute the strategy and roadmap for improving books advertising performance and customer experience for shoppers, readers, and book advertisers. This will entail setting the long-term vision while maintaining a high velocity of experimentation and launches. You will represent their business in reviews with senior leadership and key stakeholders across Amazon.About the teamThe Books Ads team exists to launch, accelerate, and differentiate the advertising business for the publishing category. We own the end-to-end advertising experience for readers, shoppers, publishers, and authors, including ad supply, ad creative, ad serving, and the user experience for books populations. With a broad mandate to experiment and innovate, we are growing fast to pursue a range of new opportunities.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 ...

This is your opportunity to be part of a team that has direct impact on foundational cloud services such as Amazon Elastic Compute Cloud (EC2), Amazon’s Simple Storage Service (S3), Amazon Q Developer, Serverless, Databases, Networking and many more. As a Manager of Business intelligence team in AWS Analytics Engineering, you will be responsible for owning end-to-end analytical roadmap for your supported AWS services. You will work closely with business leaders, finance, and technical teams to analyze many non-standard and unique business problems, creatively problem-solving to deliver actionable output. You will lead and oversee business intelligence initiatives across multiple AWS products to provide accurate and timely business metrics that enable data-driven decision making across AWS. As you design your service's analytical capabilities, you will be redefining best practices with a cloud-based approach to scalability and automation.Key job responsibilities- Lead and manage a team of junior and mid-level business intelligence/data engineers.- Lead prioritization of projects based on business impact and actionable insights.- Enable team self-sufficiency through training, transparency, and access to methodologies- Establish team business practices, roles and responsibilities, and professional development opportunities.- Partner with senior leadership Product/finance/Business development functions and provide actionable insights on a regular cadence. - Build and maintain the data infrastructure to answer business questions with data using data engineering best practices.- Create a analytical roadmap for your supported services and oversee its execution through collaboration with Data Engineers, Business Intelligence Engineers, Data Scientists, Business Analysts, and Product/Program Managers.- Understand the business and technical requirements, and make decisions that help make the products/programs smoother.A day in the lifeTo be successful in the role, you need strong team management, communication and analytical skills, alongside with the ability to manage stakeholders’ expectations to deliver the strategic plan with your team. You will work in a collaborative and empowering work environment where cross-functional teamwork drives success, and your expertise in data-driven innovation is highly valued. You’ll have the autonomy to lead initiatives, the support to grow professionally, and the opportunity to make a meaningful impact by delivering actionable insights that shape key business decisions.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- Advanced degree in Business, Science, Technology or related disciplines- 8+ 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 managing, analyzing and communicating results to senior leadership.- Proven track record in implementing organizational change management strategies.- Experience in creating analytics roadmap and making appropriate tradeoffs when needed.- Experience in data manipulation through SQL, ETL, Python, Relational/Non relational database systems.- Experience with data visualization using Tableau, Quicksight, or similar tools ...

As we strive to be Earth's most customer-centric company, Amazon has reinvented how hundreds of millions of people shop online – providing customers with the opportunity to find and discover virtually anything they want to buy and providing millions of sellers with a platform for growing successful businesses. We are looking for an exceptional business analyst to help us develop new ways to build trust and loyalty with sellers, a crucial component of our flywheelSellers’ trust in Amazon is our top priority and in this role, you will be tasked with building that trust over time by diving deep into how we measure our progress and helping to identify and prioritize key areas of focus. Amazon’s growth requires leaders who move fast, have an entrepreneurial spirit to create new solutions, have an unrelenting tenacity to get things done, and are capable of breaking down and solving complex problems.The successful candidate will be a self-starter, comfortable with ambiguity and be able to create and maintain efficient & automated processes. They know and love working with business intelligence tools, can model multidimensional datasets, and can partner effectively with business leaders to answer key business questions. They are analytical and creative, and don’t quit. This is a role with high visibility to senior leadership and with high opportunity for impact for those willing to roll up their sleeves and dive deep to achieve results.Key job responsibilities• Work with team leadership to understand the customer needs and concerns as well as define solutions.• Translate basic business problem statements into analysis requirements. Work with internal customers to define best output based on expressed stakeholder needs.• Use analytical and statistical rigor to solve complex problems and drive business decisions.• Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.• Write queries and output efficiently, and have in-depth knowledge of the data available in area of expertise. • Pull the data needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert data to make it analysis-ready.• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.• Monitor and troubleshoot operational or data issues in the data pipelines• Review and audit existing ETL jobs and SQL queries.• Good communication and writing. Effectively communicates with both business and technical teams.A day in the life• Partner with Business Stakeholders to automate metrics and dive data to drive decisions that will support Sellers on the Amazon Platform• Surface opportunities to drive process improvement, looking beyond the surface to understand what the data means for the team• Participate in reviews with Global leadership spanning our six operations sites, from Arizona to Singapore. • Provide data insights to Operations Managers to help them understand root cause of defect drivers for the programs and specialists.About the teamAccount Health Support exists to educate sellers on how to maintain there Account Health while selling on the Amazon platform. We provide support to these sellers to ensure they understand Amazon's policy and provide a delightful experience for our customers. The team creates a trustworthy selling experience to ensure that Selling Partners perceive Amazon as the safest and most effective store in which to sell their products worldwide.BASIC 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 or equivalent- Experience defining requirements and using data and metrics to draw business insights- Experience with SQL- Experience making business recommendations and influencing stakeholders- Be self-driven, and show ability to deliver on ambiguous projects with incomplete data. ...

Talent Development Journey team’s mission is to make it easier for Amazonians to build rewarding careers in Amazon’s peculiar culture. To deliver on this mission, Talent Development tech team is building a talent development ecosystem (TDE) which empowers human judgement, action, and interaction to make it easier to learn and grow in Amazon’s peculiar culture. TDE enables authoring high quality content, delivering personalized learning experiences, and measuring proficiencies at scale.We are looking for a Business Intelligence Engineer (BIE), to lead the development of our metrics, reporting, visualizations, and predictive analytics, end-to-end, to support strategic and tactical decision-making. An ideal candidate will have a strong business acumen, and the ability to translate business requirements into analysis, collect and analyze data, and make recommendations back to the business. In addition, the candidate must have the ability to work with stakeholder groups to solve business problems and provide data solutions that are organized and simple to understand.Key job responsibilities- Interface with business owners to gather requirements and deliver reports or analysis to solve business problems.- Write SQL to retrieve and analyze data from database tables (ex. Redshift, MySQL, DBs), across a broad range of data resources.- Own the design, development, and maintenance of metrics, reports, analyses, dashboards, etc. to drive key business decisions- Make large and/or complex data more accessible, understandable and usable by implementing advanced BI dashboards and applications.- Analyze business information, and uncover trends and correlations to develop insights that materially improve our product and strategy decisions.- Establish scalable, efficient, automated processes for tracking and reporting on progress of initiatives.- Design, implement, and support a platform providing ad hoc access to large datasets.A day in the lifeYou will work closely with product managers to lead research on employee behaviors and develop automated reporting to measure the impact of product and program enhancements on the employee onboarding experience. You will work closely with other engineers to learn and implement engineering best practices and the latest BI technology.About the teamOur team owns the employee onboarding experience. Our team has a highly collaborative, fast moving, and fun culture. We’re looking for a talented Business Intelligence Engineer who’s excited to help us improve the new hire experience at Amazon. Our vision is to create a seamless, intelligent onboarding experience to delight new hires and accelerate time to success. You will play a critical role in helping us leverage data and uncover insights to make this possible.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 ...

Do you enjoy uncovering actionable insight to improve delivery experience? Do you get excited about operating in an ambiguous and fast moving environment? Are you looking for an opportunity to work with cross functional teams, and build decision-driven analytics solution for work that is critical to Amazon’s continued ability to deliver smiles in communities? The DSP Analytics Team has an exciting opportunity for a Business Intelligence Engineer (BIE) to make an impact on the Amazon’s Delivery Service Partner (DSP) program.The goal of Amazon’s DSP organization is to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon is continually striving to innovate and provide best in class delivery experience through the introduction of pioneering new products and services in the last mile delivery space. Come join us and help us make history!We are looking for an innovative and highly-motivated BIE who can think holistically through multidimensional problems to understand how systems work together to identify and execute both tactical and strategic projects which drive improvements to DSP programs in Latin America. You will work closely with engineering teams, product managers, program managers, and org leaders to deliver end-to-end data solutions aimed at enhancing overall business health and capacity planning for Latin America DSP program. In this role, you will dive deep into disparate datasets to improve our understanding of various components involved in Last Mile delivery, build decision-driven analytics that systematically track the overall quality of the DSP business and program health, improve tooling to scale up capacity planning processes across regions, and extract actionable insight to level up plan accuracy and process efficiency.Key job responsibilities- Earn the trust of your customers and stakeholders by continuing to constantly obsess over their business use cases and data needs, and helping them solve their problems by leveraging technology.- Work closely with business stakeholders and leadership team to expand and scale our data solutions across regions- Manage and execute analytics solutions end-to-end including project management, data gathering and manipulation, modeling, problem solving, and communication of insights and recommendations.- Build high quality data architecture and ETL data pipelines using SQL, Scripting and other ETL tools.- Retrieve and analyze data using a broad set of Amazon’s data technologies (ex. Redshift, AWS S3, Amazon Internal Platforms/Solutions) and resources, knowing how, when, and which to use.- Design, build, and maintain automated reporting, dashboards, and ongoing analysis to enable data driven decisions across our team and with partner teams.- Report key insight trends using statistical rigor to simplify and inform the larger team of noteworthy trends that impact the business.- Be connected and influential within the Amazon BI and DE community. Work with data engineering and software development teams to enable the appropriate capture and storage of key data points. Mentor junior BI engineers. About the teamWe are the centralized Amazon DSP Analytics team with the vision to build best-in-class analytics solutions to support our internal and external DSP stakeholders and partners for making data driven decisions org-wide. We believe in promoting and using ideas to disrupt the status quo. In our team, you will have the opportunity to dive deep into complex business and data problems, drive high-impact and large scale data solutions and raise the bar for engineering and operational excellence. We have exceptionally talented and fun loving team members, and we love to share ideas and learnings with each other. BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience writing complex SQL queries- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business- Strong verbal and written communication skills including the ability to communicate effectively with both technical and non-technical stakeholders ...

The LPE – Technical Solutions team, supporting the Rapid and Rural Logistics (R2L) org, is seeking a truly innovative Business Intelligence Engineer with broad technical skills to help build the infrastructure and tools required to support a new, fast growing business.The ideal candidate will have a passion for automation and clean, streamlined process design. The applicant will draw upon advanced analytical, critical thinking, problem solving skills, software development experience, and an aptitude for creating maintainable, highly reliable, distributed systems which operate 24/7/365. You will work with analytic tools, write excellent scripts, partner with customers to answer key business questions, and act as an advocate for your customers. Successful members of this team collaborate effectively with internal end-users, cross-functional software development teams, and technical support/sustaining engineering teams to solve problems, implement new solutions, and deliver successfully against high operational standards of system availability and reliability. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun.The complexity of research and skills for a Business Intelligence Engineer is well beyond basic data entry and extraction. It involves design and development of automated data pipelines, sophisticated analytical model and intuitive data visualization. In addition, this role is on a large analytical team that supports a wide range of businesses. 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• Perform data extraction, manipulation, and production from database tables• Own the design, development, and maintenance of reports, analyses, dashboards, etc. to drive key business decisions• Create automated tools via VBA and connection to streamline process execution• Create data flows and develop/manage new metrics• Design, implement and validate complex logic using queriesBASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience in Statistical Analysis packages such as R, SAS and Matlab ...

Amazon is looking for a highly analytical Engineer to join the CA Supply Chain Team. The Canada Supply Chain team is responsible for the long-term capacity and network architecture planning, as well as the short-term supply chain execution between Amazon’s sellers/vendors, fulfillment centers and downstream partners. This role will support planning, execution, optimization and continuous improvement in the supply chain consisting of hybrid Fulfillment Centers and dedicated cross dock buildings in future. The ability to diagnose problems and to conceive-build-implement solutions will be key to success.As a Business Intelligence Engineer, you will generate insights that will guide operational excellence and strategy for our customers. analysis is at the core Amazon’s culture, and your work will have a direct impact on decision-making and strategy for our organization. You will be gathering operational insights, run statistical analysis, mining making recommendations, and helping senior leaders make key decisions. You will have the opportunity to work with large and diverse data sets to gather insights from across, using AWS Infrastructure.The ideal candidates will have excellent analytical and statistical abilities, acumen and judgment, intense curiosity, strong technical skills, and written and verbal communication skills. They will have a strong bias toward driven decision-making. They will be a self-starter, comfortable with ambiguity, able to think and be creative (while paying careful attention to detail). They will enjoy working in a fast-paced dynamic environment. If you are excited about it, are results oriented, and want to join a growing analytics team within Amazon, this role is for you.Are you up for the challenge?Key job responsibilities- Design, develop and maintain scaled, automated, user-friendly systems, statistical analysis and prediction, reports, dashboards, etc. that will support the needs of the .- Apply deep analytic and skills to extract meaningful insights and learning from large and complicated sets using the appropriate statistical forecasting model and Machine Learning models.- Be hands-on with ETL to build pipeline to support automated reporting.- Serve as liaison between the planning and technical teams to achieve the goal of providing actionable insights into current performance, ad hoc investigations to support future innovations and continuous improvements. This will require gathering and manipulation, problem solving, and communication of insights and recommendations.- Build various rich visualizations to tell the story of trends, patterns, and outliers.- Recognize and adopt best practices in reporting and analysis: integrity, test design, analysis, validation, and documentation.BASIC QUALIFICATIONS- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience 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 ...

Come and be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech and retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations re-imagine buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and unlocking our potential worldwide.Amazon Business Flywheel Input (ABFI) Analytics team is looking for an experienced Business Intelligence Engineer to excel at product and service pricing. Amazon Business (AB) represents an incredible opportunity to address a vast new market segment and customer base for Amazon. We are focused on building solutions that enable B2B customers to find and buy products and services across multiple devices and marketplaces. The Analytics team owns the data driven decision making for key AB problems including price setting, selection additions and operations optimization. Amazon Business is a fast growing business sector. We need leaders who can think big and drive big vision into a reality. Please come to work with us if you are result driven, think big, and want to have fun and make a history. You will build the analytics and the supporting structures needed to analyze, dive deep, and innovate the pricing strategies. You will also have the opportunity to present findings to cross functional team partners to drive improvements. You will work closely with the Product/Program Managers, Data Engineers, Applied/Research/Data Scientists, Economists and Software Development Engineers to solve challenging problems. You need be comfortable using intellect, curiosity and technical ability to develop innovative solutions to business problems. You need learn different aspects of the business and understand how to build or apply analytics tools to solve high impact business problems. You will be expected to provide clear and concise explanation to results and approaches as well as provide opinion and guidance on problem solving.The ideal candidate will have proven ability to develop, enhance, automate, and manage science models from end to end. The ideal candidate will have data mining and analytical skills and will be comfortable facilitating think big ideas and working from concept through to execution. The ideal candidate must have demonstrated ability to manage medium-scale automation and modeling projects, identify requirements and build methodology and tools that are mathematically grounded but also explainable operationally, and apply analytical skills to adapt to changing attributes. Key job responsibilities• Work closely with the BIEs, DEs and Scientists in the team and collaborate effectively with product managers to create scalable solutions for business problems.• Create program goals and related metrics, track progress, and manage through obstacles to help team achieve objectives• Identify opportunities for improvement or automation in existing data processes and lead the changes using your business acumen and data handling skills. • Use the best practice on data integrity, design, test, implementation, documentation, and knowledge sharing. • Contribute to supplier operations strategy development based on data analysis• Lead strategic projects to formalize and scale organizational processes• Build and manage weekly, monthly and quarterly business review metrics. • Build data reports and dashboards: Leverage your data skills and technical means (SQL, Excel, etc.) to improve on business efficiency across programs.A day in the lifeYou will build the analytics and the supporting data structures needed to analyze, dive deep, and innovate the pricing strategies. You will also have the opportunity to present findings to cross functional team partners to drive improvements. You will work closely with the Product/Program Managers, Data Engineers, Applied/Research/Data Scientists, Economists and Software Development Engineers to solve challenging problems. About the teamAmazon Business (AB) represents an incredible opportunity to address a vast new market segment and customer base for Amazon. We are focused on building solutions that enable B2B customers to find, research, and buy products and services across multiple devices and marketplaces. The Amazon Business Science and Analytics team owns the science and analytics for key AB problems including price setting and selection additions. 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- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field ...

Amazon Web Services (AWS) is seeking a member for the Strategic Customer Engagements (SCE) team. SCE is a specialized global deal team that engages with commercial and public sector customers on deal strategy, structuring, and negotiations through contractual closure for transformational, strategic, large, complex, and/or highly competitive opportunities. SCE engages directly with customers and AWS leadership to drive cloud initiatives that will accelerate growth, increase efficiency, and unlock new business capabilities.By collaborating closely with our field sales teams, SCE Deal Specialist’s at AWS leverage their expertise in deal structuring, negotiating private pricing that drives sustainable growth and value for both our customers and AWS, and strategic methodologies to navigate customer pain points, gain credibility, and effectively partner with the sales organization. This is a unique opportunity to engage with AWS customers on strategic opportunities, increase the growth of AWS (Americas/EMEA/APJ), and to establish AWS as their key cloud technology provider. These opportunities range across industry verticals, such as Financial Services, Telecommunications, Media & Entertainment, Energy, Healthcare Life Sciences, Automotive and Manufacturing, and Public Sector, and customer size (from start-ups to enterprise customers). These engagements may also involve Pan-Amazon and AWS go-to-market opportunities involving close partnership between the SCE global deal team and other Amazon and AWS stakeholders. We are a dynamic team passionate about managing transformational deals.As a Deal Specialist you will partner with AWS Service teams to develop commercial business models. You will inspire and influence AWS customers, field sales executives, and other internal stakeholders to empower our customers to address business challenges and develop innovative solutions. As a Deal Specialist you will create actionable strategies, develop and shape opportunities, and lead large, complex, or highly competitive deal engagements through negotiations and closure. This highly visible role will own alignment with C-level executives, IT teams, and multiple lines of business to achieve business outcomes, increase the adoption of AWS services, and enable private pricing, go-to-market, pan-Amazon, and other strategic relationships.Key job responsibilities• Act as trusted advisor and thought leader in the development of commercial strategy and deals: partner in the execution of the deal sales cycle for strategic commercial opportunities.• Partner closely with AWS Service teams to understand services and pricing: create frameworks that impact customer outcomes.• Inspire and influence key internal stakeholders, experts, and other indirect resources to remove barriers and achieve desired business outcomes• Advise and construct commercial deal terms: understand the competitive landscape and provide deal guidance• Facilitate alignment and effective AWS communication with internal and external stakeholders to resolve conflict and encourage develop productive interactions• Cultivate best practices through analysis and reporting in support of continuous improvementsA day in the lifeSCE is a specialized global deal team that engages with commercial and public sector customers on deal strategy, structuring, and negotiations through contractual closure for transformational, strategic, large, complex, and/or highly competitive opportunities such as GenAI. This is a unique opportunity to engage with AWS customers on strategic opportunities, increase the growth of AWS (Americas/EMEA/APJ), and to establish AWS as their key cloud technology provider. These opportunities range across industry verticals, such as Financial Services, Telecommunications, Media & Entertainment, Energy, Healthcare Life Sciences, Automotive and Manufacturing, and Public Sector, and customer size (from start-ups to enterprise customers). These engagements may also involve Pan-Amazon and AWS go-to-market opportunities involving close partnership between the SCE team and other Amazon and AWS stakeholders.About the teamDiverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why 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.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS• 7+ years demonstrated success working with customers on the structuring of substantial, strategic, and complex software or cloud services/infrastructure deals (relative to industry and market size) from opportunity through closure• 7+ years working with, presenting to, and negotiating with C-level executives, IT, lines of business, procurement, finance, and legal and internal stakeholders for sizeable commercial/enterprise deals• 3+ years financial modeling• Bachelor’s degree (or equivalent work experience) ...