Business Intelligence

Amazon’s Marketplace services over 2 million Sellers disrupting traditional notions of retail marketplace and connecting millions of businesses, big and small, to millions of Customers within the Amazon.com marketplace. The Marketplace business exceeds 50% of the total Amazon.com sales and each year, tens of thousands of businesses join the marketplace adding millions of new products.The Seller Fulfillment Services (SFS) team is seeking a experienced Business Intelligence Engineer to own strong and complex analytics and to bring in comprehensive deep dives to help drive the growth of SFS Business.The candidate should have expertise in designing and implementing scalable data warehouse infrastructure and build dynamic visualization platform and self serve tools for end-user consumption. Candidate should have solid knowledge in data engineering to develop efficiency DW pipelines given the scale of the dataset SFS is working with. Moreover, the candidate should have ability in using advanced techniques, for example scripting language and building statistical models, to drive complex insights analysis.Our ideal candidate thrives in a fast-paced environment, enjoys the challenge of highly complex business scenarios and is passionate about data and analytics. To be successful in this role you will need to have excellent analytical, data warehousing and communication skills.Key job responsibilities- Design, implement, and deploy BI solutions. You successfully solve difficult and/or loosely structured problems. You are able to refine requirements from business stakeholders into a functional design that solves the problem- Have a solid understanding of data design approaches and analysis techniques (and how to best use them)- Able to work independently and with your team to deliver BI solutions successfully- Demonstrate high quality (e.g., maintainable, efficient, well-documented) work consistently and incorporates best practices. Your team trusts your work- You focus on operational excellence: constructively identifying quality issues, proposing solutions when necessary, taking on projects that improve your team’s BI solutions, and making them better and easier to maintain- You create source-of-truth datasets using SQL; you leverage scripting language i.e. Python to create automation and reduce manual processesBASIC 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 ...

The Intelligent Talent Acquisition (ITA) organization develops data solutions for all aspects of hiring across Amazon. Joining ITA is your opportunity to make an impact across multiple layers of the company and the workforce. Amazon’s mission is to be the most customer centric company in the world and ITA supports our Talent Acquisition (TA) organization of the mission by hiring hundreds of thousands of hourly associates and corporate employees across multiple types of roles and businesses.Key job responsibilities1. Able to coordinate and understand the interaction between business metrics, UX interaction and adoption data, and the resilience and monitoring of our technical platform2. Skilled at generating insights that support product managers, designers and software leaders in their quest to deliver products customers love3. Create stories with data in QuickSight or related tools that recognize patterns and trends4. Work with data from disparate systems and storage mechanisms including Adobe Analytics, KTAL, RUM, CloudWatch and Pendo5. Advise on areas of opportunity in forums like monthly business reviews, quarterly planning and monthly team meetings6. Interpret and advise on A/B testing data, using classical or Bayesian statistics7. Familiarity with LLM-supported analytics tools and methodsA day in the lifeAs a Business Intelligence Engineer, you will generate insights that will guide operational excellence, business strategy, and success for our products focusing on Candidates across Recruiting. Data 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 customer insights, mining data, making recommendations, and helping senior leaders make key business decisions. You will have the opportunity to work with large and diverse data sets to gather insights using data from across AWS Infrastructure.About the teamOur Data team enables Technical Product Managers, Software Development Managers and Engineers to measure success of their Hiring tools, improve it and innovate. Come help us hire the best, build great tools for our hiring managers and recruiters, and help the millions of candidates applying and visiting our career portal (people like you!) find their next amazing opportunity. BASIC QUALIFICATIONS- 4+ 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 ...

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.As a Business Intelligence / Data Engineer you will enable data-driven decision making within the Amazon Web Services Data Center Infrastructure Operations organization.The Infrastructure Operations Team is responsible for planning, implementing, monitoring and continuously improving the global Amazon Data Center infrastructure. The team supports all aspects of the Data Center based organizations, including but not limited to : Safety, Security, maintenance, daily operations, logistics, engineering and equipment management. You will be developing, implementing and maintaining the information data warehouse, and utilizing insight platforms, to enable decision support systems for the overall organization. You should have excellent business and communication skills, and be able to work with business owners to understand their data and reporting requirements. Above all, you should be passionate about working with huge data sets and be someone who is able to bring data sets together to answer business questions and drive growth. You will build ETLs to ingest the data into the data warehouse and data lake, as well as end-user facing reporting applications. You will primarily support teams within the Infrastructure environment, but will also have opportunities to support teams in the overall Amazon Web Services community.You will work with business customers and development teams to define analytics requirements and then deliver flexible, scalable, end-to-end solutions. You will have an opportunity to work with big data and emerging technologies while driving business intelligence solutions end-to-end: business requirements, data modeling, ETL, metadata, reporting, and dashboarding. You should have expertise in the design, creation, management, and business use of large datasets.Key job responsibilities- Passion for storytelling through the visualization of data. We are looking for someone who obsesses about the user experience and who excels in driving business outcomes through the dashboards they develop. - Experience with Tableau or similar visualization/dashboarding platforms like PowerBI, QlikView, Google Charts, Amazon QuickSight, etc.- Moderate to Advanced SQL skills. Skill with aggregate functions, joins between three or more data sources, window functions, and query optimization.- Experience in building presentation layers for reporting dashboards in SQL. - Ability to design and build tables for staging and presentation, outside of the visualization software, in AWS Redshift or other similar Data Warehouse (DW) platform. - Knowledge and understanding of data modeling and data design, e.g. fact and dimension tables, snowflake and star schema, etc.- Experience in building automation to extract data from a Data Lake/Data Warehouse into visualizations. - Optimizing large volumes of data through organization of building views and tables with business metrics and KPIs, and creating scheduled, recurring jobs to load data into the visualization environment.- Excellent communication skills, verbal and written.- Experience leading projects, interacting with customers and stakeholders to deliver successful dashboard products.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- 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Knowledge of SQL and data warehousing concepts- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with Airflow DAGs for ETL ...

Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online by giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerce platform. Within Amazon, the Selling Partner Services’s (SPS) goal is to enable third-party Sellers of any size by helping them build the business they want. We are the Core Selling Partner Experience (CSPE) team which defines, implements, and enforces quality standards for all Amazon-built experiences for all SPs worldwide. Key job responsibilitiesTo support this vision, we are seeking a Business Analyst to build analytical tools that will ultimately be a key driver in driving the growth of the company. You will leverage our data to drive operational efficiencies, provide key data-driven insights, enable new opportunities and innovate on behalf of Selling Partners. You will drive future solutions that will impact how we capture sentiment for new Selling Partners and delight our existing ones, and you'll have a lot of fun along the way!As you further your career as a Business Analyst at Amazon, you will focus on improving corporate reporting frameworks and data visualization. You will research performance data, discover and solve real world problems and build metrics and business cases to make strategic business recommendations. We are focused on your success and want to build and support passionate innovators within Selling Partner Services.Key job responsibilities• Lead the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc.• Partner with operations/business teams to consult, develop and implement KPI’s, automated reporting/process solutions, and process improvements to meet business needs.• Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.• Prepare and deliver business requirements reviews to the senior management team regarding progress and roadblocks.• Participate in strategic and tactical planning discussions. Preparing and delivering business reviews to the senior management team regarding progress and roadblocks.• Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support our business needs.We are open to hiring candidates to work out of one of the following locations:Seattle, WA, USASunnyvale, CA, USABASIC QUALIFICATIONS- 5+ years of tax, finance or a related analytical field experience- 5+ 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 making business recommendations and influencing stakeholders ...

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 Amazon Warehousing and Distribution team (AWD) is at the forefront of supply chain innovation, and is leading the next generation of marketplace and multi-channel storage and distribution services. We are looking for a passionate, result-oriented and inventive Business Intelligence Engineer. This is an opportunity to work in a startup like environment within Amazon and we seek an individual who is motivated by a fast-paced and highly entrepreneurial environment. You will be part of a growing Business Intelligence team within the wider FBA org with leaders to mentor and support your growth.We are looking for someone who is detail-driven, and has excellent problem solving and deep dive abilities including experience with modelling complex data. Ability to navigate ambiguous programs while keeping a high bar on quality of outputs is a must. You will be a key contributor to shaping our strategic innovations and customer experience by equipping the product and operations teams with the relevant insights.The role requires you to feel comfortable working with and clearly communicating with other functional teams, regionally and globally. Key responsibilities are to:1. Design, develop and maintain scalable (automated) reports and dashboards that track progress towards plans2. Automate data pipelines3. Define, track and report program success metrics4. Collaborate with business and product teams to define data requirements and processes5. Building scalable, efficient, and automated data processes to facilitate customer-facing reporting.Key job responsibilities1. Design, develop and maintain scalable (automated) reports and dashboards that track progress towards plans2. Automate data pipelines3. Define, track and report program success metrics4. Collaborate with business and product teams to define data requirements and processes5. Building scalable, efficient, and automated data processes to facilitate customer-facing reporting.BASIC QUALIFICATIONS- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience writing complex SQL queries- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

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

The xACE team (Cross-Banner Analytics, Capabilities & Enablement) is a team of business analysts and business intelligence engineers that provide data and analytics capabilities to support some of the most critical Grocery initiatives. We work closely with product, marketing, business and science teams to provide insights on program performance, customer journey and customer life cycle, across both Whole Foods Market and Amazon.The xACE team is seeking a highly technical and experienced Business Intelligence Engineer with strong SQL and Python skills to provide data insights and reporting to product, program and business leadership on vital cross-brand programs such as Grocery Subscriptions, online shopping and ordering, Whole Foods marketing and many more.The ideal candidate will draw upon advanced analytical, problem solving skills, and passion for delivering business insights and analytics. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun. This role will have high level visibility due to the criticality and cross-functional nature of the products and programs that this analyst will support. This role has great exposure to a broad scope of work and tools that can really help shape the future and convergence of Amazon Grocery, while providing several paths for career growth.Key job responsibilities• You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tools/languages like SQL, Excel, and others, to translate data into meaningful insights through collaboration with scientists, software engineers, data engineers and business analysts.• You will have end-to-end ownership of operational, financial, and technical aspects of the insights you are building for the business, and will play an integral role in strategic decision-making.• Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership• Produce written recommendations and insights that will help shape effective metric development and reporting for key stakeholders• Simplify and automate reporting, audits and other data-driven activities• Partner with Engineering teams to enhance data infrastructure, data availability, and broad access to customer insights• To develop and drive best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation• Learn new technology and techniques to meaningfully support product and process innovationBASIC QUALIFICATIONS- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets- Experience with data modeling, warehousing and building ETL pipelines- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business- Experience working with online product/e-commerce teams and a general understanding of clickstream data ...

Do you want to work on a global project of critical importance to the future of Amazon, tackling real never-been-done-before challenges of remarkable complexity? Do you have a passion for enabling measurement and reporting solutions that will drive critical business decisions? If so, the Amazon MODE (Media Operations, Data, and Execution) team is seeking an enthusiastic and skilled Business Intelligence Engineer to join our global, cross-functional team. As the Business Intelligence Engineer, you will play a pivotal part in establishing a standardized data platform with clean, reliable, and accessible data feeds. This platform will support the functional areas of cross-channel media strategy and planning, buying, marketing operations, campaign reporting, and measurement. By providing trustworthy data, technology, and tools, you will empower the business to become more data-aware and make informed, data-driven decisions. In this role, you will collaborate closely with stakeholders across marketing, advertising, finance, engineering, legal, and product management. If you are excited by the prospect of tackling complex, ambiguous challenges and driving the development of new media planning and campaign lifecycle products and features, we encourage you to apply for this transformative opportunity.Key job responsibilities* Design, develop, and oversee the reporting pipelines to onboard agency managed media metrics into reporting and measurement tool, using appropriate technologies (e.g., SQL, Python, Spark, AWS Lambda, etc.)* Complete new data onboarding for current and future roadmap of RAFT (Reporting and Fast Twitch Insights) and TaCS (Taxonomy and Campaign Spend) for reporting and measurement with agencies outside of US to enable data-driven decision-making* Onboard new Lines of Businesses to RAFT and TaCS by designing the data model, developing the reporting pipelines and creating the dashboard* Collaborate with stakeholders (marketing, advertising, finance, engineering, science, legal, and product management) to understand business domains, requirements, and expectations* Work closely with owners of data source systems to gain insights into their capabilities and limitations* Deliver minimally to moderately complex data analysis to support business needs* Adopt best practices in reporting, including ensuring data integrity, designing thorough testing, validating outputs, and maintaining comprehensive documentationA day in the lifeThe successful candidate will demonstrate an ability to influence business owners, support thoughtful decision-making, and adapt to a rapidly-evolving environment. They will collaborate with executives and business units across Amazon, bring excellent verbal and written communication skills, and prioritize the most impactful projects and programs to drive businesses forward. A typical day in this role provides an opportunity of building innovative solutions with large-scale data tools, identifying high-priority work and projects that maximize results for key stakeholders, and solving complex problems that impact company-wide strategic decisions.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 data visualization using Tableau, Quicksight, or similar tools- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience building measures and metrics, and developing reporting solutions- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience ...

Amazon's Trustworthy Shopping Experience (TSE) team strives to guarantee customers a trustworthy shopping and ordering experience so they can shop with confidence on Amazon. Our mission is to deliver a trustworthy experience by eliminating catalog defects, ensuring listings are compliant with our selling policies, ensuring customers receive authentic products in the condition they expect, and protecting them by making things right with our A-to-z Guarantee, in the rare chance that the expectation is not met.We are seeking a highly motivated and detail-orientated Business Analyst to join our team. You will support the analytics and reporting requirements of our investigation products on-boarding process. The ideal candidate will have a passion for data, strong analytical skill and effective communication skill. You will work closely with cross-functional teams and stakeholders to ensure data accuracy and identify key insight in a fast paced environmentKey job responsibilitiesAn ideal candidate for this role:· Will have relevant experience in data analytics working with large data sets and to extract and transform data using various tools and technologies· Will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide· Will use data to support ideas, drive actionable outcomes, and provide unique ways to present data and information in an easy to consume format· Will be passionate about finding root causes, trends, and patterns and how they impact business.· Will draw inferences and conclusions, create dashboards and visualizations of processed data· Will have excellent business and communication skills to be able to work with product owners to understand key business questions to build reports that enable product owners to answer those questions quickly and accurately. Will be very comfortable juggling competing priorities and handling ambiguity. Will thrive in an agile and fast-paced environment on highly visible projects and initiativesAbout the teamShopping Experience Protection Ops (SEPO) Team works to ensure that customers can buy with confidence on Amazon. Our mission is to ensure that every Customer, Brand and Selling Partner is protected from bad actors, and their concerns are resolved real-time. Our mission is to create quick and accurate decisions that exceed the expectations of our Customers, Brands and SPs while protecting them from bad actors. We deliver at scale through technology and expert human judgement. We drive down costs by selectively and efficiently using human judgement where technology is not able to automate.BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 3+ 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 making business recommendations and influencing stakeholders- Experience with SQL ...

Business Analysts are responsible for converting data into actionable business insights. They are analysis experts who leverage a variety of data platforms and analytical tools to provide timely, meaningful, and consumable information. They build deep contextual and domain knowledge. They ensure data quality and build scalable tools. They communicate findings with the most effective and influential methods. Amazon is seeking an exemplary Business Analyst with broad technical skills to develop data visualizations and build automation solutions that drive business decision making and process improvement. The ideal candidate will draw upon advanced analytical, problem solving skills, and passion for delivering business insights and analytics. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun.The complexity of research and skills for a Business Analyst is well beyond basic data entry and extraction. It involves design and development of automated data pipelines, sophisticated analytical modeling and intuitive data visualization. This role will directly be responsible for maintaining front end code using Python, SQL, HTML, Java, and R, or other similar coding languages. Proficiency in the aforementioned languages is not required, but an ability to be a quick learner and gain proficiency is required for a successfully candidate. This role will have high level visibility due to the nature of the toolsets being maintained, built, and the network impact of analysis conducted. This role has great exposure to a broad scope that can really help shape the future of operational fulfillment and promotes career progression.Key job responsibilities- Provide data management processes such as accessing raw data feeds, building queries and macros, writing VBA code, organizing data and designing reports that present status-at-a-glance visualization for business performance.- Retrieving and analyzing large sets of data using Excel, SQL, and other data management systems.- Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions.- Taking ownership of reporting processes to ensure that each report is accurate and timely with a high degree of customer focus in resolving data discrepancies.- Building and managing related key performance indicators (KPIs) to measure, control, and benchmark reporting processes.- Monitoring existent metrics, building new metrics, and partnering with internal teams to identify process and system improvement opportunities.- Supporting cross-functional teams on the day-to-day execution of the existent program implementation.- Generating complex queries to dive deep on process issues- Innovating to improve customer experienceBASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 3+ 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 with Excel- Experience defining requirements and using data and metrics to draw business insights- Experience with SQL- Experience making business recommendations and influencing stakeholders- Bachelor's degree or equivalent ...

Have you ever thought about what it takes to detect and prevent fraudulent activity among hundreds of millions of e-commerce transactions across the globe? What would you do to increase trust in an online marketplace where millions of buyers and sellers transact? How would you build systems that evolve over time to proactively identify and neutralize new and emerging fraud threats?Our mission in Payment Risk Operations is to make Amazon the safest place to transact online. Payment Risk Operations safeguards every financial transaction across all Amazon sites, while striving to ensure that these efforts are transparent to our legitimate customers. As such, Payment Risk Operations designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in Amazon.com.As a Business Analyst in Payment Risk Operations, you will be responsible for analyzing terabytes of data to identify specific instances of risk, broader risk trends and points of customer friction, developing scalable solutions for prevention. You will need to collaborate effectively with business and product leaders within BRP and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. You should be able to apply a breadth of tools, data sources, and analytical techniques to answer a wide range of high-impact business questions and proactively present new insights in concise and effective manner. In addition you will be responsible for building a robust set of operational and business metrics and will utilize metrics to determine improvement opportunities.You should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business.Key job responsibilities1. Understand the various operations across Payment Risk Operations2. Use analytical acumen to derive insights into business problems and processes that impact strategic direction3. Design and develop highly available dashboards and metrics using SQL and Excel/Tableau/Quicksight4. Perform business analysis and data queries using scripting languages like R, Python etc5. Understand the requirements of stakeholders and map them with the data sources/data warehouse6. Own the delivery and backup of periodic metrics, dashboards to the leadership team7. Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies8. Execute high priority (i.e. cross functional, high impact) projects to improve operations performance with the help of Operations Analytics managers9. Perform business analysis and data queries using appropriate tools10. Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus areaBASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- 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 ...

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 WW Amazon Logistics (AMZL) Tech SME team is for you. We partner directly with software teams to develop the future of AMZL and manage the delivery of tens of millions of products every week to Amazon’s customers..The Amazon Tech SME team is looking for a customer focused, analytically and technically skilled Sr. Business Intelligence Engineer to drive effective performance measurement and management, innovation and execution in last mile delivery. This position will be responsible for playing a key role in our team, building out analysis, tools, and processes that scale Worldwide.The successful candidate will be able to effectively retrieve, integrate, visualize and present critical data to improve the efficiency of the package delivery network, and enable efficient management of a large global logistics system. This individual will work with technical and business teams to optimize planning, execution, process improvement and track progress against goals. This role requires an individual with excellent analytical abilities as well as outstanding business acumen and comfort with technical teams and systems. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and enjoy working with large scale of data.Key job responsibilities-Partner with internal stakeholders across multiple teams, gathering requirements and delivering end to end solutions.-Partner with Data Engineering and Software-Development Engineers to prioritize and define AMZL data and BI development needs.Work with in-house scientists, global supply chain, transportation and logistics teams to identify new BI capabilities and projects.-Analyze and visualize large scale geospatial logistics and transaction data to articulate user behavior or delivery process problems, and output solid analysis report with recommendation.-Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.BASIC QUALIFICATIONS- 5+ 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 ...

Come build the future of entertainment with us! Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching?Prime Video Global Operations (PVGO) is a team that relentlessly works with partners and is responsible for ingesting content using both partner facing and internal technologies. We obsess over ensuring that every search, discovery and playback interaction with Prime Video is device agnostic, defect free and results in a high engagement experience for Customers. We collaborate with stakeholders across Prime Video to define, refine and uphold Prime Video’s Customer experience, Quality bar and metrics. PVGO plays an essential role at Prime Video, ensuring that the content that powers our vision to be the premier source of global entertainment, is complete and correct.We are a group of entertainment enthusiasts based out of USA, Japan, India, Spain, and Costa Rica; passionate about ensuring all our customers around the globe have access to the content they need, when they need it. We work closely with industry professionals, program and technology teams to ensure world-class coverage of key entertainment content, and proactively address content gaps before our customers notice them. We are looking for an analytical and results-oriented Business Analyst to help shape the future of Prime Video Global Operations. This is an exciting time to join, as we scale our coverage of international content, while maintaining a high bar for timeliness and quality.As a Business Analyst, you will help develop analytic solutions to drive deep dives, provide insights into operational health, and develop key KPI's from scratch. You will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide. You will own creation and management of large datasets, reports, dashboards and data pipelines. You will interact with internal program, product owners and technical teams to gather requirements, structure scalable and data-oriented solutions, and gain a deep understanding of key datasets. You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices. You will be responsible to tune query performance against large and complex data sets. You will help translate analytics insights into concrete, actionable recommendations for business or product improvement. If this sounds exciting to you, please read on.Key job responsibilities- Work on data management processes such as accessing raw data feeds, building queries and macros, writing VBA code, organizing data and designing reports that present status-at-a-glance visualization for business performance.- Retrieve and analyze large sets of data using Excel, SQL, and other data management systems.- Design and implement reporting solutions to enable stakeholders to manage the business and make effective decisions.- Take ownership of reporting processes to ensure that each report is accurate and timely with a high degree of customer focus in resolving data discrepancies.- Build and managing related key performance indicators (KPI's) to measure, control, and benchmark reporting processes.- Monitor existent metrics, building new metrics, and partnering with internal teams to identify process and system improvement opportunities.- Support cross-functional teams on the day-to-day execution of the existent program implementation.BASIC QUALIFICATIONS- 2+ years of business analyst, data analyst or similar role experience- 2+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 2+ years of business or financial analysis experience- 2+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience- Intermediate skills using SQL- Experience making business recommendations and influencing stakeholders- Bachelor's degree or 4+ years of relevant professional experience ...

Join Amazon's Global Transportation Services team as a Business Intelligence Engineer II and play a pivotal role in shaping the future of our delivery network. You'll leverage your analytical expertise to optimize sortation and containerization strategies, influencing facility design and automation. This high-impact position offers the opportunity to drive data-driven decisions that enhance Amazon's transportation efficiency on a global scale.Key job responsibilities- Develop and maintain dashboards using tools like Tableau or Quicksight to visualize complex transportation data- Conduct in-depth statistical analyses using R, SAS, or Matlab to inform network design strategies- Create and optimize ETL pipelines to ensure data accuracy and accessibility- Collaborate with cross-functional teams to translate business needs into actionable insights- Automate processes to improve efficiency and scalability of data-driven decision makingA day in the lifeAs a Business Intelligence Engineer II, you'll start your day reviewing key performance metrics and updating dashboards for stakeholders. You might then dive into a project analyzing sortation patterns to identify optimization opportunities. After lunch, you could find yourself collaborating with the facility design team, using your insights to inform future automation strategies. Your day might conclude with a cross-functional meeting where you present your findings and recommendations for improving network efficiency.About the teamOur Global Transportation Services team is dedicated to revolutionizing Amazon's delivery network through data-driven innovation. We focus on end-to-end sortation and containerization strategies, constantly pushing the boundaries of what's possible in logistics. Our vision is to create the most efficient, sustainable, and customer-centric delivery network in the world. We value curiosity, analytical thinking, and a passion for solving complex problems.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 ...

The Amazon Search team creates powerful, customer-focused search solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, Amazon Search service go to work. We design, develop, and deploy high performance, fault-tolerant, distributed search systems used by millions of Amazon customers every day. As a Business Intelligence Engineer in the Search Capacity team, you will: - Scale the Amazon Search service by working closely with service owners in engineering and operations to understand the service in depth and drive optimal scaling and capacity planning. - Identify and track key performance metrics around efficiency and costs. - Manage planning, ordering, and budgeting for hardware and other computational resources. - Develop and improve tools for automating the foregoing responsibilities wherever possible. - Analyze resource utilization and performance test data to identify variables impacting performance and scalability. Develop models for required hardware resources to meet current and future SLAs.BASIC QUALIFICATIONS- 1+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)- Experience with scripting language (e.g., Python, Java, or R) ...

Amazon's Global Procurement Organization manages indirect supply chain for World Wide Operations and Delivery Services. We work with massive amounts of data and leverage them for advanced analytics and applications.If you want to work with data at a very large scale, and you want to collaborate closely with Data Scientists, and Software Teams to build solutions simplifying the complexity of Amazon supply chain, you belong here with us!We are seeking a Data Engineer who is customer focused, relentless and driven to help us build out a new initiatives. You will collaborate closely with product managers, developers, data scientists and leaders across the org. To be successful in this role, you should have broad skills in database design, be comfortable dealing with large and complex data sets, modeling and designing a strong data warehouse and building self-service data platforms for stakeholders to utilize the data we manage.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience working on and delivering end to end projects independently- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience with SQL- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions- Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent ...

The NCRC (Net Cost of Refunds and Concessions) team within Returns & Re-commerce focuses on ways we can preserve and create customer value while increasing the velocity of Amazon's cost flywheel. We are constantly innovating to create long-term value at Amazon by investing in the future and focusing on the planet, not just on the bottom line. WW R&R includes business, product, program, operational, and software engineering teams, who together manage the lifecycle of returned and damaged products.As a Senior Business Intelligence Engineer (Sr. BIE) on the NCRC team within Amazon Returns and Re-commerce, you will be a part of the Science and Analytics team collaborating with a group of Analysts, Economists, PMs and other Engineers. You will have an opportunity to participate and innovate across the engineering landscape, starting from ingestion, storage, processing and reporting. You will build complex data solutions that integrate with cross-organizational systems, enabling our team to scale and build self-serve BI tools. You will partner closely with analysts and economists in the pursuit of investigative data. You will participate in business reviews and new-initiatives. You should be able to identify and help close gaps in the information available, as well as predict up-and-coming -needs when participating in discussions about new products or features.A successful Sr. BIE will be highly collaborative and organized, capable of prioritizing multiple deliverables and effectively communicate progress and blockers. You should feel comfortable working across multiple systems and AWS technologies, and be capable of participating in and understanding how multiple systems communicate information to one-another.We are a new team at Amazon and this is a great opportunity to be on the leading edge. Come join us and innovate with the Amazon NCRC team!Key job responsibilities-Owning the design, development and maintenance of scalable data solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs.- Recognize and adopt best practices in reporting and analysis: data integrity, design, analysis, validation, and documentation.- Use analytical and statistical rigor to answer business questions and drive business decisions.- Find and create ways to measure the customer experience to drive business outcomes.- 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.- Troubleshoot operational data-quality issues.- Review and audit existing ETL jobs and queries.- Recommending improvements to back-end data sources for increased accuracy and simplicity.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 ...

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. We are looking for a Senior Product Manager Technical in the Amazon Grocery Data and Tech.This role is both creative and data driven – we need someone who can understand our current pain points, isolate improvement opportunities, help us think big about what to consider in terms of localization, scalability, commodity management, and long term automation. You will also be responsible for producing insights and creating roadmap that will help shape effective strategies to better meet our customers’ needs. You will work closely with internal teams, and partners across the grocery business line and other partner teams in these areas. Key job responsibilitiesThe leader would work closely with tech teams, leaderships, and business stakeholders to get the products designed and delivered. Some responsibilities include:a) Create and own product roadmapsb) Contribute or own vision docc) Work with business stakeholders to collect pain points and with engineers to come up with strategiesd) Own tradeoff decisions and resource planningAbout the teamAmazon Grocery Data and Technology (GDT) team is the central data team for Amazon Grocery and consists 6 engineering teams (BIEs/DEs/SDEs) and 1 central PM team. We are the direct owner of (a) Infrastructure and services used for reading, processing, reporting and enrichment of grocery data; (b) Productivity tools for Seller Partners; (c) Reporting solutions for worldwide 1P and 3P customers across the following businesses: Amazon Fresh Grocery (AFG), Whole Foods Market (WFM), Amazon Grocery Partners, etc. BASIC QUALIFICATIONS- Bachelor's degree- 5+ years of product or program management, product marketing, business development or technology experience- Experience owning/driving roadmap strategy and definition- Experience with feature delivery and tradeoffs of a product- Experience contributing to engineering discussions around technology decisions and strategy related to a product- Experience managing technical products or online services ...

Do you want to reinvent shopping on Amazon? With ever expanding selection, and ambient computing looming on the horizon, it's time to create a new shopping experience, beyond search & browse. It's time to make purchasing with the help of Alexa trivially easy, and delight customers at the level of a knowledgeable, personal shopping assistant that helps them save time and money. It's time to leverage big data and machine learning to generate relevant and trustworthy recommendations for billions of shopping journeys through billions of products, and to make it easy and natural for customers to discover those recommendations. We are seeking the industry's best to help us create new ways to interact, search and shop. Alexa Shopping BI Team's vision is to empower Alexa Shopping teams by (i) providing BI capabilities that support measuring, understanding and assessing key inputs / outputs related to business decisions and (ii) uncovering actionable insights to address challenging business questions. In this role you will: - Work closely with Alexa Shopping Product Managers, Software Development Managers and Software Development Engineers to gather requirements and help identifying the right technical artifact, while ensuring prioritization and transparent communication.- Work closely with Data Engineering to ensure high quality instrumentation that allows to analyze trends and metrics at the most granular level.- Build scalable solutions, using analytics tools and languages (notably SQL), to provide data and KPIs to inform business decision through streamlined reporting and visualization/reporting tools such as Quicksight.- Collaborate with stakeholders to create additional metrics and processes based on program changes and customer requirements.- Perform quantitative analyses to uncover areas of opportunity and present written business recommendations that will help shape Alexa Shopping product roadmap.- Help defining and analyzing A/B testing, ensuring statistical significance and educating stakeholders to properly interpret results.- Collaborate with finance as a leader of ongoing analytical support.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business ...