Business Intelligence

Account Health Support is looking for a highly analytical and result-oriented Business Analyst Manager to help build/enhance support for Amazon sellers in a global contact center environment.The ideal candidate works effectively in a cross-functional environment and is comfortable communicating with both technical and business stakeholders. This person uses data to guide decision-making, has strong business judgement, and can think creatively about new opportunities. This position will partner with program teams that enable operations and eliminating defects that lead to a negative policy experience for sellers. They will need to partner with global operations leads to align design, development, and maintenance of metrics, reporting, analysis and dashboards.Key job responsibilitiesResponsibilities of this position include:• Hire, manage, and coach a team of Business Analysts.• Strong leadership, vision and passion to build and drive a Business Analytics team to create changes in business partnerships, analytics, and metrics/reporting.• Drive the design, development and implementation of our Operations analytics to provide stakeholders with structured access to data.• Champion proper adoption of self-service analytic tools and reporting environments.• Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards that monitor and to drive key business decisions.About the teamAccount Health Support (AHS) is a global team that provides Selling Partners with empathetic support while addressing their account health and compliance concerns.BASIC QUALIFICATIONS- Bachelor’s degree in Finance, Business, Technology, or a similar discipline with analytical bias- 6+ years of relevant work experience as a business analyst, financial analyst, or similar position requiring analysis including the use of SQL, Python or similar. - 4+ years of experience using data driven analytics to support business decisions- 4+ years of people management experience, analysts or similar technical positions- Advanced proficiency with Microsoft Office (Word, Excel, and PowerPoint)- Experience with business intelligence and data visualization and reporting tools (e.g. Tableau, Quicksight) ...

Amazon Ads operates at the intersection of e-Commerce and Advertising, offering a rich array of digital advertising solutions with the goal of helping our customers find and discover anything they want to buy. Amazon DSP is Amazon’s programmatic advertising product for campaigns spanning Video, Audio and Display across Amazon properties (e.g., Amazon.com, Freevee, Twitch, Fire TV, and Amazon Music) and tens of thousands of third-party websites and apps. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in working to build a unique, world-class advertising offering with a relentless focus on the customer, you’ve come to the right place.A successful candidate will have a passion for data and analytics, knows and loves working with BI tools, is comfortable accessing and working with big data from multiple sources, and can partner with internal stakeholders to help drive the business. They will have a deep knowledge of business intelligence solutions, possess excellent statistical and analytical abilities, and have the ability to work with technology, product development, and business teams. They will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, and driven by a desire to innovate.Key job responsibilities- Partner with Product teams to understand the business requirements and implement solutions to support product plans.- Design, develop, and maintain scalable, automated, user-friendly systems, reports, and dashboards enabling stakeholders to manage the business and make effective decisions.- Implement training and documentation solutions that enables stakeholders to get the most out of our self-serve analytics tools.- Develop and support the analytical technologies that give stakeholders timely, flexible, and structured access to their data.- Define, develop, and maintain critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis.- Analyze historical data to extract meaningful insights from large and complex data sets to identify trends and support decision making, including written and verbal presentation of results and recommendations.- Conduct ad hoc data analysis and data quality investigations.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 working in ad tech ...

Have you ever ordered a product from Amazon and been amazed at how fast it gets to you?Every day Amazon engineers are relentlessly working to decrease the time between Click to Deliver for your products. The Amazon Fulfillment Technologies (AFT) team owns all of the software and infrastructure which powers Amazon's world-class fulfillment engine. Our team in the Seattle office is building complex, massive data systems to capture data during every step in the automated pipeline and use that data to proactively predict efficiency and cost improvements to deliver the packages fast to our customers.Key job responsibilitiesAs an Amazon.com Big Data Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should be skilled in the architecture of DW solutions for the Enterprise using multiple platforms (RDBMS, Columnar, Cloud). You should have experience in the design, creation, management, and business use of extremely large data-sets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. Above all, you should be passionate about working with huge data sets and someone who loves to bring data-sets together to answer business questions and drive change.As a Big Data Engineer in this role, you will develop new data engineering patterns that leverage a new cloud architecture, and will extend or migrate our existing data pipelines to this architecture as needed. You will also be assisting with integrating the Redshift platform as our primary processing platform to create the curated Amazon.com data model for the enterprise to leverage. You will be part of a team that builds the next generation data warehouse platform and to drive the adoption of new technologies and new practices in existing implementations. You will be responsible for designing and implementing the complex ETL pipelines in data warehouse platform and other BI solutions to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision-making at Amazon.com.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 Coverage2. Maternity and Parental Leave Options3. 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!About the teamAmazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.Platform Engineering & ServicesAFT’s Platform Engineering & Services team leverages data, process improvement, and innovative technologies to provide comprehensive engineering excellence services/solutions across AFT’s product portfolios.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

Alexa Americas organization is seeking an experienced and highly analytical Sr. Business Intelligence Engineer (BIE) who can build end-to-end data pipelines, automate reporting and equip our business stakeholders with data driven actionable insights. A successful candidate will be an expert in SQL, ETL, data manipulation and be able to partner effectively across a diverse set of stakeholders including product managers, BIEs, data engineers and Alexa country leaders. The Sr. BIE will build the foundational data pipelines and data tables, analyze large data sets, prove and disprove hypothesis, automate solutions and build self-service dashboards and reports. This person consistently employs high judgment and makes data-driven decisions, leading by example and influencing the team to do the same.Key job responsibilities- Interface directly with stakeholders, gathering requirements and owning automated end-to-end reporting solutions.- Develop complex queries for ad hoc requests and projects, as well as ongoing reporting.- Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs- Design, implement, and support key datasets that provide structured and timely access to actionable business information addressing stakeholder needs.- Proficiency with SQL queries to retrieve and analyze data. Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use.- Perform end-to-end deep dive analyses to discover actionable insights for our business stakeholders.- Simplify and automate reporting, audits, and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders- Apply engineering excellence to reporting and analysis pipelines, automate and simplify self-service support for customers.- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.About the teamAlexa Americas BI team owns and supports all data, analytical and reporting requests from CA, MX, BR, Spanish US and Rest of World Alexa Country teams. Americas BI works closely with business stakeholders across Alexa Americas org, Alexa central BI/DE teams, Alexa Domain BI teams, Device BI teams and other Alexa International regional BI teams.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 ...

Are you interested in diving deep into data and engineering the metrics model that drives continuous improvement for Amazon’s global delivery operations? Do you have solid problem solving abilities, metrics-driven decision making and want to solve problems with solutions that will meet the growing worldwide need? Then Middle Mile Technology is the team for you. We are part of building the world's fastest, most reliable, and lowest cost transportation network that provides customers the most control and are looking for a top notch Senior Business Intelligence Engineer. As an Amazon Senior Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should have deep expertise in the design, creation, management, and business use of datasets at scale. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. You should excel at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. You should be able to work with business customers in understanding the business requirements and implementing reporting solutions. Above all you should be passionate about bringing large datasets together to answer business questions and drive change.Key job responsibilitiesKEY RESPONSIBILITIES - Design automated solutions for recurrent reporting (daily/weekly/monthly). - Design automated processes for in-depth analysis. - Design automated data control processes. - Collaborate with the software development teams to build solutions. - Learn, publish, analyze and improve management information dashboards, operational business metrics decks and key performance indicators. - Improve tools and processes, scale existing solutions, and create new solutions as required based on stakeholder needs. - Participate in annual budgeting and forecasting efforts. - Perform monthly variance analysis and identify opportunities.BASIC QUALIFICATIONS- 5+ years of SQL experience- 5+ years of professional or military 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 AWS technologies- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Experience with theory and practice of design of experiments and statistical analysis of results ...

Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the Amazon Logistics, Last Mile team is for you. We manage the delivery of tens of millions of products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner.We are hiring a Business Intelligence Engineer to identify strategic initiatives that will form the next generation of Amazon Logistics. As a Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. In this role, you will primarily work on designing and building automated reporting and dashboards using complex data. We are still in the nascent stage so it is an exciting opportunity to be involved from design-to-execution. As a BI Engineer, you will operate as a mix of hands-on builder and influencer.The team’s success depends on our ability to create actionable insight from the data that we and our partners generate. The ideal BIE candidate will have excellent analytical abilities, business acumen, high judgment, strong technical skills, and good written and verbal communication skills. This person will be a self-starter, comfortable with ambiguity, able to think big and be creative (while paying careful attention to detail), and enjoys working in a fast-paced dynamic environment. To be successful in this role, you should have broad skills in data mining, be comfortable dealing with large and complex data sets, while applying analytical rigor to solve business problems.This role is cross-functional - you will work closely with partners in Product Management, Training and Program Management to design and deliver data needs. You should be comfortable working in a dynamic, start-up environment, and seek data-driven decision-making. You should have strong analytical and communication skills and be able to work with product managers and business development teams to define key business questions and build data sets and models that answer them.Key job responsibilities- Develop complex queries for ad hoc requests and projects, as well as ongoing reporting.- Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs- Design, implement, and support key datasets that provide structured and timely access to actionable business information addressing stakeholder needs.- Interface directly with stakeholders, gathering requirements and owning automated end-to-end reporting solutions.- Partner with analysts, data engineers, business intelligence engineers, and software development engineers across Amazon to produce complete data solutions.- Simplify and automate reporting, audits, and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders- Proficiency with SQL queries to retrieve and analyze data. Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use.- Estimate models, write analyses, and extract insights and provide business recommendations.About the teamWe serve AMZL’s Learning teams as the strategic thought leader, looking beyond where other teams are focused to drive transformative solutions that leverage technology and processes to improve learning outcomes and drive down the cost to serve.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Amazon is one of the most popular sites in the US. Our product search engine, one of the most heavily used services in the world, indexes billions of products and serves hundreds of millions of customers world-wide. Our team leads the data science and analytics efforts for the search page and we own multiple aspects of understanding how we can measure customer satisfaction with our experiences. This includes building science based insights and novel metrics to define and track customer focused aspects. We manipulate massive amounts of data, terabytes worth a day, coming from multiple different systems with a high degree of complexity in structure, schema and different levels of quality. We are looking for a Business Intelligence Engineer to build metrics, deep dive and generate insights to improve the customer experience with a high level of senior leadership visibility. These metrics govern the quality of the search page and impact multiple organizations and teams that contribute to the search results and ultimately what customers use to make purchase decisions on the website.Key job responsibilitiesYou will be building and improving metrics that measure the quality of the search page. This includes working backwards from customer pain points, managing large and complex data pipelines manipulating terabytes of data a day. Your metrics and dashboards will be used by multiple teams and senior leaders and you will be providing insights into opportunities to improve the customer experience and our signals and systems. The metrics and underlying pipelines are used daily for decision making, setting up experiments, defining goals and influencing senior leaders to set priorities.About the teamThe mission of the Search Data Science team is to build a world class shopping experience that delights customers. We focus on the long term and big picture, ensuring that the search page is balancing strategic trade-offs. We bring to this effort expertise in constrained optimization, causal inference, and marketplace equilibrium effects. We build systems, metrics, and mechanisms to ensure that product decisions are scientifically sound. We develop models to estimate the downstream dollar value of the quality of the experience. We spend time on evaluating experiments to develop durable learnings.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 ...

Come and become 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 developing innovative selection, pricing and operations solutions to help business customers thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential.Amazon Business Flywheel Inputs Science and Analytics team is looking for an experienced Business Intelligence Engineer to excel at pricing, selection, forecast and optimization data solution. 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, research, and buy products and services across multiple devices and marketplaces. The Amazon Business Flywheel Inputs Science team owns the science and analytics 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.The ideal candidate will have outstanding leadership skills, proven ability to develop, enhance, automate, and manage tech and data solutions from end to end. The ideal candidate will have data mining and data modeling skills and will be comfortable facilitating idea creation and working from concept through to execution. The ideal candidate must have demonstrated ability to manage the medium to large scale automation and data modeling projects, identify requirements and build methodology and tools that are technically grounded but also explainable operationally, apply technical skills allowing the solution to adapt to changing attributes.A day in the lifeYou will build the data solutions 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 other Applied/Research/Data Scientists, Economists, Data Engineers, Software Development Engineers, Program Managers and Business Partners to solve challenging 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.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 team owns the science and analytics for key AB problems including price setting and selection additions.BASIC QUALIFICATIONS- Master's degree in statistics, data science, or an equivalent quantitative field- 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 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 ...

We are open to hiring candidates to work out of one of the following locations:Herndon, VA, USAAmazon is seeking a highly motivated Intelligence Analyst to join our world-class Amazon Security organization and work within the Response function of the Enterprise Protection Program to help Amazon prevent and mitigate insider risk.As part of the Response team, you will be involved with evaluating, investigating, and mitigating active insider risks daily. We are looking for someone who is a fan of "diving deep"; constantly learning; eager to drive the development and refinement of proactive initiatives to identify, evaluate, and mitigate risks to Amazon; adept at managing complex investigations; seeks to maintain an understanding of the security needs of our customers and business, and is willing to take on new challenges.You will consult with business, legal, and tech teams to develop gap remediation strategies and be proactive in the build-out of sustainable and systematic solutions. You will also be effective both working independently and cooperatively across partner teams when required, and able to contribute and deliver results whether involved at the level of strategic planning or tactical execution.This position involves on-call responsibilities, typically for one week every few months.Key job responsibilities• Manage complex and confidential investigations, providing timely and fact-based reporting to partners and leadership• Effectively partner with teams across Information Security, Legal, Human Resources, and others necessary in support of investigations• Establish, document, and refine standard operating procedures and internal best practices for investigative functions• Collaborate with Engineering teams to build and develop solutions and tools that identify and mitigate risk by translating use cases into technical requirements• Perform deep dive analysis of internal and external datasets to identify trends, anomalies, and activities indicative of threat• Collaborate with partner teams in the threat intelligence community, internal and external to Amazon• Identify and produce metrics to measure effectiveness of analytic capabilities and data to drive business decisionsAbout the teamDiverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why Amazon Security?At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Inclusive Team CultureIn Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.BASIC QUALIFICATIONS• 5+ years of demonstrated experience as an analyst/investigator supporting counterintelligence, counterterrorism, insider threat, internal investigations, and/or law enforcement investigations • 2+ years’ experience in conducting open-source analysis • Bachelor’s Degree in related field or 4 years of equivalent work experience ...

Business Intelligence Engineer Come build the future as a Business Intelligence Engineer at Amazon, where you will be inspired working along best-in-class inventors and innovators! You will have the opportunity to create meaningful experiences that deliver on the ever-evolving needs of our customers, and your work will impact millions of people around the world. As an Amazon Business Intelligence Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you’ll be creating for our customers.Apply now and you will be eligible for Amazon Business Intelligence Engineer positions that are based on your preferred location, team, and more. We’re hiring across Amazon Stores in the United States and Canada. Teams with available positions include, but are not limited to:• Consumer Technology: Build new generation features and products for amazon.com, constantly improving the Customer and Seller experience for billions around the globe. Whether building site wide features such as reviews and recommendations, category specific software for the likes of Pharmacy, Electronics, Digital Software and Video Games or seller infrastructure, there are a variety of complex problems to tackle using a range of technologies in the design of your technical solutions. • Operations Technology: Shape the future of transportation planning and execution on a global scale, that impacts hundreds of fulfillment centers, thousands of Amazonians, and millions of customers across the world. Your technology will support thousands of operators worldwide to design, build and run the best-in-class Amazon transportation network. We are building intelligent software to make transportation more reliable, faster, and less costly, providing a better and less expensive experience for our customers.• Human Resources Technology: Create a seamless experience for millions of Amazonians and/or candidates. Whether supporting technologies for onboarding, time and attendance, compensation, amazon.jobs, or recruiting, you’ll deliver robust feature sets, elegant designs, intuitive user interfaces and systems that make it easy for Amazonians to excel at performing critical business functions.About Us: Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a better-rounded contributor.Inclusive Team CultureHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.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 ...

Fire TV is reshaping the way millions of people watch, engage with, and enjoy entertainment content every day. We are seeking an experienced Sr. Data Engineer who is passionate about using data to surface customer insights that will influence the development of new and improved customer experiences on Fire TV. If you enjoy working with cross-functional teams to deliver robust and scalable analytics and ML solutions to address complex problems, and thrive in a fast-paced, changing environment, then this opportunity is for you. A successful candidate is an expert in Big Data engineering concepts, data architecture design, performance tuning, and data modeling. They are comfortable working independently in an ambiguous and fast- paced environment, and are able to think big while paying attention to detail. They can communicate with both technical experts and non-experts, and have an analytical mindset that helps them connect their work to the needs of their data customers.Key job responsibilities- Collaborate with scientists, engineers, software developers, and business leaders to define data system requirements and provide solutions- Develop robust, scalable and maintainable data systems with a combination of in-house tools and standard technologies (e.g. SQL, Python and Spark)- Build with operational best practices (e.g. dashboarding and monitoring/alarming to ensure data integrity)- Design and implement durable data models for FTV datasets- Protect data to ensure customer trustAbout the teamOur team is part of the Fire TV Experience org and is comprised of Business Intelligence Engineers and Analysts, Data Engineers, and Data Scientists. We take pride in building scalable, reliable, and trustworthy data products that empower our stakeholders to make data-driven decisions to improve the quality of the Fire TV and Alexa products they deliver to customers. We encourage leaders who foster cross-team collaboration and can drive consensus horizontally across teams. We are at our best when we have a deep understanding of how our data directly reflect customer experiences and can be used to surface customer needs.BASIC QUALIFICATIONS- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience mentoring team members on best practices ...

Do you love data? Do you want to learn new technologies? Join our OCEANS team and help shape the future of employee compensation at Amazon! Our job is to establish data definitions, conduct research, and launch products to support the Amazon Leadership Team and Consultants in making pay decisions for employees. As a Data Engineer on our team, you'll work with cutting-edge technologies and complex data environments. You'll be responsible for enhancing our existing data architecture to further standardize metrics and definitions, developing end-to-end data engineering solutions for complex analytical problems, and collaborating with analysts, data scientists, and software engineers to translate data into actionable insights.This role requires you to live at the intersection of data, software, and science. We leverage a comprehensive suite of AWS technologies, with key tools including S3, Redshift, DynamoDB, Lambda, API's, Glue, MWAA, DataZone, and SageMaker. You will drive the development process from design to release. Key job responsibilities Managing data ingestion from heterogeneous data sources, with automated data quality checks. Creating scalable data models for effective data processing, storage, retrieval, and archiving. Using scripting for automation and tool development, which is scalable, reusable, and maintainable. Providing infrastructure for compensation analytics and science use cases. Using industry best practices in building CI/CD pipelines.About the teamJoin our team at Amazon, where data drives our global compensation strategy. As a cutting-edge business intelligence and analytics unit, we're shaping how Amazon compensates million+ employees worldwide. Our mission: to leverage advanced analytics in evaluating and scaling our annual pay policy, directly influencing the company's growth trajectory. If you're seeking a role with large-scale impact, we offer the opportunity to apply your analytical skills at the intersection of big data, human resources, and business strategy. Your work will revolutionize Amazon's compensation landscape, ensuring fair, competitive, and forward-thinking pay practices that support our company's continued success and expansion.BASIC QUALIFICATIONS- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations- Experience with one or more scripting language (e.g., Python, KornShell, Scala)- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)- 1+ years of data engineering experience ...

We are seeking a Business Analyst to support Amazon's global 3P fee strategy for upstream and inbound services related to Selling On Amazon. Our 3P (Third-Party) business includes Fulfillment By Amazon (FBA) and Merchant Fulfillment Network (MFN) channels. With Sellers contributing to over 50% of Amazon’s online sales, 3P Fee strategy is integral to Amazon’s ability to deliver on its goal of offering a vast selection of products at low prices to customers.The successful candidate will have strong analytical background, track record of effective business partnership, and ability to deliver results in an ambiguous, fast-paced, and dynamic environment. The candidate must have the ability to communicate and collaborate effectively across cross-functional and cross-regional stakeholders to understand topline and cost drivers, and deliver high quality insights to senior leaders to influence fee strategy.We are looking for someone with expertise in data analytics skills, strong business acumen, an ownership mindset and ability to clearly communicate. In this role, you will leverage our data to drive efficiencies, provide key data-driven insights, enable new opportunities and innovate on behalf of business customers, in close partnership with both finance and business teams. You will manage and execute entire components of large projects from start to finish including data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations. You will also support building metrics and reporting on them to senior leadership.A successful candidate will develop a strong understanding of our business and make data-driven conclusions. They will be comfortable with ambiguity while working in a fast-paced dynamic environment. They will also continuously learn new systems, tools, and industry best practices to help design new tools that help our team automate, and accelerate analytics. Key job responsibilities• Oversee business and finance reporting and analytics• Understand input drivers and validate integrity of the reporting to influence strategic decision-making and planning• Build and drive planning, forecasting, and reporting models• Identify and support the automation of manual reports• Generate actionable insights through the development of metrics, dashboards and deep dive analyses • Communicate data (both written and verbal) in a clear, concise, and unambiguous manner• Influence critical business decisions with dataA day in the lifeAs the Business Analyst, you will work closely with multiple business and finance teams including product and tech team, data science team, and operations, to shape the monetization of our 3P business. You will help the team identify growth and profit opportunities, partnering with the business teams to develop cost reduction strategy for a global multi-Billion dollar cost reduction goal.About the teamThe WW Product & Tech Finance team focuses our effort on high impact analytical problem solving. Because of this unique focus we attract curious self-starters that thrive on developing new ideas. We have a tight business partnership with the WW FBA product and tech team and Operations where working groups organically coalesce to tackle big problems and opportunities.BASIC QUALIFICATIONS- 3+ years of business or financial analysis experience- Bachelor's degree or equivalent- Experience with SQL- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience in Excel (including VBA, pivot tables, array functions etc) and data visualization tools such as Tableau ...

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

How often have you had an opportunity to be a member of a team that is tasked with resolving customer needs through disruptive and innovative technology? Everyone on the team needs to be entrepreneurial, wear many hats and work in a fast-paced, ambiguous, and highly collaborative environment that’s more startup than big company. If this sounds intriguing, then we’d like to talk to you about a role in the Worldwide Defect Elimination (WWDE)- Concessions Analytics team. This team is focused on the customer remediation experience, building technology to identify and personalize the concessions experience for customers. To continue providing the best resolution options for customers, we seek a passionate, results-oriented, Business Intelligence Engineer (BIE) Manager. The Business Intelligence Engineer Manager will also be responsible for driving analytical strategy for their respective function and enable data driven decision making. Another key aspect of the job is to unearth insights from data to help the operations team in driving process excellence. This position requires exceptional managerial skills, statistical knowledge, superior analytical abilities, knowledge of business intelligence solutions and exposure to efficient data engineering practices. The BIE Manager will also be a stakeholder manager as they will have to work closely with senior tech and non-tech stakeholders/leaders. Candidate should be comfortable with ambiguity, capable of working in a fast-paced environment, continuously improving technical skills to meet business needs, possess attention to detail and be able to collaborate with customers to understand and transform business problems into requirements and deliverables.Key job responsibilities - Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. - Partner with operations/business teams/economist/machine learning (ML) teams to consult, develop and implement key performance indicators (KPI’s), automated reporting/process solutions and data infrastructure improvements to meet business needs. - Develop the end-to-end automation of pipelines for applications and ML models - Apply analytic skill to extract meaningful insights and learnings from large and complicated data sets. - Serve as liaison with Business and technical teams to achieve project objectives, requiring data gathering, problem solving, modeling, and communication of insights and recommendations.A day in the lifeIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! Benefits Summary:Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanBASIC QUALIFICATIONS- 7+ years of business intelligence and analytics experience- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience- Experience with SQL- Experience with ETL- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software ...

We are looking for an experienced and enthusiastic data engineering and insights professional with a proven track record of delivering influential solutions to complex and ambiguous problems. A practiced researcher, who uses data engineering, statistics, systems knowledge, and data visualization to guide decision making for cross-functional leadership teams. We are seeking a collaborative individual 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 robotic architecture or design.Key job responsibilitiesIn this role, you will support Amazon's newest robotic technologies through their Alpha, Beta, and General Availability phases. A day in the lifeYou will collaborate cross-functionally with engineering teams, program managers, and leaders throughout the organization to deliver projects aimed at characterizing and improving the performance of new robotic automation technology in Amazon's network of warehouses. In this role, you will use a combination of unified and disparate data sources to uncover insights delivered through decision-driving analytics white-papers and automated data visualizations to influence the development and deployment of cutting edge robotic technology. You will collaborate with Data Scientists, Data Engineers, and Program Managers to define and deliver world class analytics tools and insights to shape the robotic technology landscape.Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) 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!About the teamThe Amazon Robotics Business Intelligence, Analytics, and Data Science team discovers insights in vast and varied robotic data to support decision-making for engineering and operations customer teams. We collaborate with designers, software and hardware engineers, and operations teams to understand system performance, make feature and design trade-offs, and inform decisions on new applications of Amazon Robotics technology. We conduct relevant, insightful analysis and communicate the results through white papers and data visualizations. Our methods include design of experiments, statistical modeling, machine learning, financial analysis, and data visualization.BASIC QUALIFICATIONS- 8+ years of professional or military 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 AWS technologies- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Experience with theory and practice of design of experiments and statistical analysis of results- 5+ years of SQL experience ...

The Supply Chain S&OP team is looking for a Senior Business Intelligence Engineer. 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. Key job responsibilitiesYou will lead critical performance management initiatives for inventory placement leveraging 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- 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- Develop the analytics required to visualize opportunities and measure progresses- Partner with worldwide technical teams to develop new featuresBASIC 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 solving complex business problems, transforming data into insights, and using data to drive product decisions? In this position, you will directly support the creation of a global product that evolves the support experience for our Selling Partners. Data driven approach is at the core Amazon’s culture, and your work will have a direct impact on decision making and strategy for our team. You will work closely with product managers, SDEs, data engineers, operations teams, and senior management to define new metrics and project requirements and provide inputs towards defining solutions to business problems. You will learn and understand our global operations, database infrastructure, and existing system functionalities. After establishing this knowledge, you will need to develop a robust set of metrics and reporting solutions to help uncover opportunities, prioritize fixes, and influence leadership to help drive investments that reduce waste. Some of these metrics do not exist, requiring critical thought and data/metrics design. This will include complex analytics, mapping systems and datasets together, developing scalable reporting solutions, and producing narratives/documents outlining key insights and trends meant to drive investment as well as measuring the efficacy of solutions implemented over time to attribute success and impact. You'll build sustainable, scalable and automated analytics that help the organization understand opportunities for efficiency and performance improvements. With stakeholders across multiple teams, there will be frequent opportunities to influence significant decisions. RESPONSIBILITIES- Deep dive into large data sets to answer key business questions using SQL, Excel, and other data manipulation languages- Systematically identify data sources, perform analysis and build data pipelines to influence product roadmaps based on business problems.- Operate with significant autonomy to deliver results and achieve the goals and objectives of both your team and the broader organization.- Communicate complex insights to stakeholders, both verbally, in writing and through visualization and dashboards- Perform complex data research identifying opportunities to improve the effectiveness of our support mechanisms and provide analytical recommendations to business teams.A day in the lifeYou will work closely with product, program, and tech teams in order to stay connected to the ongoing feature launch roadmaps. The Selling Partners Support ecosystem is constantly evolving and our analytics systems must be maintained and adapted to ensure our measurement strategy and reporting mechanisms accommodate these changes. You will build a variety of analytics and visualization solutions to support our product features. You will autonomously perform deep dives, uncovering new trends/areas that may need attention. You will also work closely with our product team to help design experiments and look for new opportunities.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- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience with Excel ...

Are you excited about applying your data engineering skills in a top-tier business impacting millions of customers? Our Fire TV mission is to make watching TV effortless and fun for customers to enjoy all of their entertainment, so it becomes part of their daily habit for relaxing, being entertained, and spending time with family and friends. Fire TV is the #1 best-selling streaming media player in the U.S. Our mission is to make watching TV effortless and fun for customers. The staggering amount of data we process from multiple sources to work towards achieving our mission of requires the skills of an experienced and motivated Data Engineer. The successful candidate will work in our Data Science & Analytics team to help set new standards in data processing capability and data availability for our Device Sales & Customer Engagement business units. You’ll be working with Amazon-scale Big Data stored in a variety of locations including data lakes, Redshift clusters and cloud storage, helping us to bring in new datasets that will further inform our business decisions. You’ll do this while maintaining the highest levels of data accuracy, integrity and privacy, allowing us to explore new ways to engage and delight our customers and continue our success. Your opportunities with our team will include: - Working with multiple stakeholders and a variety of tools across Amazon to apply best-practice processing for very large volumes of data - Administering our AWS-based infrastructure - Analyzing, improving and maintaining the performance of our data infrastructure - Designing and implementing solutions to ensure compliance with the latest privacy laws & regulations - Developing custom tools to enhance regular workflows for analysts, BIEs, Data Scientists and managers - Defining and enforcing stringent data quality standardsBASIC QUALIFICATIONS- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience mentoring team members on best practices ...

Come be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential.As a Sr BIE, you'll uncover business insights using product data that will help us make strategic decisions both for short term priorities and long term investments. You'll be working with the tech leaders to identify gaps in our data practices and help address them. You will partner with PMs, Solution Architects, TPMs and other stakeholders to run data analysis for some of the challenging customer problems.Key job responsibilities- Develop and lead design and execution of reporting solutions for product data- Work with product managers, data engineers, data scientists, and software engineers to define reporting needs- Build self-service tools and dashboard that not only gives aggregated metrics but also provide ways to pull granular data for defect verification, customer communication, deep-dives, etc.- Perform deep-dives and data analysis. Provide recommendation on new metrics or business decision.- Mentor teammates, provide inputs in team and org level strategic planning, lead cross org discussionsBASIC 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 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- Master's degree in statistics, data science, or an equivalent quantitative field ...