Business Intelligence

Global Talent Management and Compensation (GTMC) is centrally responsible for creating and evolving Amazon’s talent programs and processes. The Modeling Analytics and Research Science (MARS) team within the GTMC Science, Insights, Engineering Research, Reporting and Analytics (SIERRA) team is a team of Research Scientists, Data Scientists, and BIEs with a direct impact on 300,000+ Amazonians across all of our businesses and locations around the world. We use employee data to drive the right conversations with Amazon’s Senior Vice President of PXT (People eXperience and Technology) and other executives about how to improve existing talent programs and explore new and developing questions that shape our talent landscape. MARS is looking for experienced analysts to support the end-to-end business intelligence for new and evolving talent products, proprietary to Amazon. In this role, you will work directly with customers, leaders, and program owners, influencing opportunity identification, product design, data capture, reporting/measurement, and evaluation strategies. You will use existing data/research to identify new challenges and opportunities, as well as data collected through methods you create/define. You will leverage your subject matter expertise and strong written/verbal communications skills to develop reproducible research/analyses shared with PXT analysts embedded across Amazon’s diverse set of businesses. As the end-to-end analyst for the product, you will also build proof-of-concept reporting tools, while scaling ad hoc data access, enabling the product team self-serve and make informed decisions in a fast-paced, ambiguous business environment.Responsibilities: · Align with leaders and customers to translate business issues into testable hypotheses answerable with data · Develop and execute analyses to drive talent insights· Create data capture and measurement strategies that drive business action· Drive a roadmap from descriptive to predictive analytics, moving routine tasks to self-service for your client group· Work closely with peers and stakeholders to access, pull, transform, and analyze data from a variety of PXT sources · Gather new data, and/or creatively use existing data to propose metrics and present them in compelling but easily understood way to a non-statistical audience.· Apply statistical tests to data, including (but not limited to), t-tests, chi-square, and regression.· Compile results in a concise, meaningful, and actionable format and share findings to senior leadership · Build processes to scale fast and accurate on-demand and ad hoc data/analytical requests for leadership and key stakeholders BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience writing complex SQL queries- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Amazon.com seeks a Business Intelligence Engineer to be a key partner for an exciting new initiative-Gen AI within Amazon’s Advertising business, a high-growth business with a range of product offerings for advertisers. We are looking for a top analytical mind capable of understanding our complex ecosystem of Advertising Gen AI business.As a key BI partner, the role will have the opportunity to use one of the world's largest eCommerce and advertising data sets to influence the long-term evolution of our Gen AI products. This role requires an individual with excellent business, communication, and technical skills, enabling collaboration with various functions, including product managers, software engineers, economists and data scientists, as well as senior leadership. This role will create and enhance Business Reviews decks and performance monitoring reports with automated data pipelines to find insights that product and business team should focus on.The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and with an ability to work in a fast-paced, high-energy and ever-changing environment. The drive and capability to shape the direction is a must.This role will influence the direction of the Gen AI business by leveraging our data to deliver insights that drive decisions and actions. The role will involve translating broad business problems into specific analytics projects, conducting deep quantitative analyses, and communicating results effectively. We see a high potential for growth in this role as we transform our data into actionable insights to continue to fuel the growth of this business. The role will help the organization identify, evaluate, and evangelize new techniques and tools to continue to improve our ability to deliver value to Amazon’s customers.Key job responsibilities1. Metrics development through Weekly Business Reviews decks and performance monitoring reports (such as Quicksight, Excel)2. Deep Dive Analysis and data insights (such as SQL, Python)3. Data infrastructure and automation (such as ETL data pipelines, Redshift, S3, Athena, Glue)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- Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred) ...

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 ...

Do you thrive on obsessing about our data and think around the corner to transform data into new insights and leverage best in class data products and solutions to make high-judgement decisions ? Are you looking for an opportunity to build data analytics and insights that put people first? The Security Issue Management engineering group, part of Stores Security, is looking for an innovative, passionate, and outcome-oriented Business Intelligence Engineer.What we doThe Security Issue Management team builds solutions that keep Amazon systems and data secure on behalf of the Amazon customer. Our customers range from security engineers who need a comprehensive understanding of Amazon systems and their security state, to service teams who need solutions that make it easy to build and operate secure systems. We use the latest technology, including AWS, to solve security problems at Amazon scale. We employ automation and machine learning to reduce, or eliminate, manual effort to help our internal customers raise the security bar. We have bold goals to stay ahead of the curve on security and delight our customers with intuitive and effective products.Key job responsibilities- Provides robust BI solutions for complex problems, that are extensible and scalable.- Understand high-level business objectives and continually align work with those objectives to meet needs of business- Refine data strategies that cut across functional teams and make technical trade-off decisions for long term/short-term needs.- Learn and understand a broad range of Amazon's data resources and know how, when, and which to use and which not to use- Serve as liaison between the business and engineering team to achieve the goal of providing actionable insights into current business performance, and ad-hoc investigations to support future improvements or innovations. This will require data gathering and manipulation, problem solving, and communication of insights and recommendations.- Write high quality code to retrieve and analyze data and build data visualizations to tell the story of business trends, patterns, and outliers through rich visualizations.A day in the lifeYou will own and contribute to studies that evaluate the customer experience of executing use cases on security issue management services, as well as technology/industry trends and the voice of the customer. You will join an expanding team, leverage your technical and domain skills, and apply a variety of methodologies to drive these studies. You will collaborate with product teams and senior leaders to provide insights and drive improvements that help us achieve our vision to be Earth's Most Customer-Centric Company.About the teamWe are a team of builders that develop products, services, ideas, and various ways of leveraging data to influence product and service offerings to raise the bar in security. Security issue management system is our centralized tool with the goal of becoming the only place our builders need to go to understand and manage their security issues and to drive action on the highest security risk areas of the business as well as for security teams to drive campaigns efficiently and effectively while simultaneously reducing the effort teams spend on security related tasks.Diverse 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.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Inclusive Team Culture In 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 and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- Experience writing complex SQL queries- 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- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field with 3+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL etc ...

Quick: A seller is listing a new product on Amazon. They report the product normally lists for $89.99 and that they're selling it for $50. What should Amazon do with this information? Is this price gouging or a terrific price?This is a difficult problem...and it happens more than 2 billion times per day!The Amazon Pricing team is looking for a business intelligence engineer to own analytics our worldwide suite of Price Evaluation tools that answer the hypothetical question posed above and many more like it. As the BIE over our price evaluation tools, you’ll partner with our team of product managers, research scientists, data scientists, data engineers, and developers to build out the next generation of models that Amazon uses to evaluate prices. You will help identify and size false positives or new opportunities that improve upon a suite of tools that are designed to ensure products on Amazon have prices that are factually-based, competitively priced, and not 'too good to be true.' In this role you will identify and drive projects to increase Amazon’s understanding and influence of pricing. You will develop regular business reporting to baseline current performance and deepen our insights across customer segments and product types. You will help to establish measurements that will be used when running experiments to measure the impact of the experiments on price perception. You will help to influence the development of new models that will influence the way we display products. You will collaborate across teams to develop capacity reporting for project and operational overhead for existing and emergent work-flows. You will help define the data pipeline, self-service tools and drive insights that improve our Price Evaluation tools. The ideal candidate is a motivated self-starter that can work independently in a fast paced, ambiguous environment with limited supervision. You must be a fast learner who can quickly absorb the nuances of Amazon's varied pricing programs and processes. You need to be analytical in your decision making, with a demonstrated ability to drive issues to completion.The position is located in Seattle, WA.As part of this role you will -1. Work closely with the partner PMs, Data engineers and Data Scientists to identify and address issues and opportunities.2. Facilitate and manage the Pricing Eligibility Services BIE sprint planning and execution process3. Analyze key metrics to uncover trends and root causes of issues.4. Build metrics to measure key inputs and output metrics that drive Amazon price perception5. Develop deep dive tools for key metrics.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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and customer obsessed people. As a Business Analyst for Transportation Engineering Systems Team, (TESS), you will be responsible for developing, enhancing, automating and managing business models/dashboards using strong quantitative skills. You will also build tools and support structures needed to analyze data, deep dive root causes of operational issues or challenges, drive process improvements, build KPIs (Key Performance Indicators) and metrics, and document systems and processes for internal publication.Key job responsibilities- Own the design, development, maintenance of ongoing metrics, reports, analysis, dashboards, etc. to drive key business decisions.- Writing high quality SQL codes to retrieve and analyze data and experience working with large data sets, automate data extraction, and build monitoring/reporting dashboard- Propose, define and align leaders on the right metrics to track business performance and own end-to-end production of these metrics.- Formulate analytical business problem statements, executing the analysis and presenting insights in crisp business language.- Develop clear communications for recommended actions. Able to communicate complex analysis and insights to our stakeholders and business leaders, both verbally and in writing.- Establish new, scalable, efficient, automated processes for tracking and reporting on progress of initiatives. This includes causal analysis on program - launches and its impact on the business.- Solve ambiguous problems and proactively identify and mitigate risks (before they become roadblocks)- Work with program managers, business owners and leadership impacting critical business initiatives. Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.BASIC QUALIFICATIONS- 2+ 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) ...

Do you love books? Do you enjoy reading Manga? Interested in creating a great customer experience for Amazon Japan's Books business? Join us and be a part of making Amazon JP #1 destination for books. The JP Books team is looking for a seasoned Business Intelligence Engineer. The ideal candidate is a motivated self-starter, highly analytical, and detail oriented with a strong customer focus and perspective to drive strategy in a high-growth, fast-paced environment. You must be comfortable working at both strategic level (using customer insights and data to generate innovative ideas for growth) and at tactical level (building dashboards and monthly reports to measure business health). In this highly visible role you will serve as liaison between the business and technical teams to identify, develop, and execute quantitative analyses and provide actionable insights into current business performance.Key job responsibilities- Design, develop and maintain scalable, automated reports, dashboards and user-friendly systems etc. to provide actionable insights into current business performance. - Apply your deep analytic and business intelligence skills to extract meaningful insights and learnings from large and complicated data sets.- Partner with business/economist/software engineering/science teams to consult, develop and implement KPI’s, automate solutions and data infrastructure improvements to support our business needs.- This role will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.- Find scalable solutions for recurring ad-hoc investigations About the teamOur team owns analytics and BI infrastructure across breadth of business areas like Manga, Demand, Supply Chain, Marketing and Vendor management. Each team member owns and acts as subject matter expert for their business area within our organization. We partner with business leaders, product managers and software teams to launch Amazon JP products, gamification experiments and measure success of new strategic initiatives. This is an exciting role where you’ll get to learn different aspects of how Amazon runs a business. BASIC QUALIFICATIONS- Bachelor's degree in sciences, engineering, finance or equivalent- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets- Experience writing complex SQL queries- 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 ...

Amazon’s Selling Partner Insights and Analytics (SPIA) organization is seeking an experienced Data Engineer (DE) who will be a key contributor in architecting and building data platforms that directly impact sellers experience on Amazon. If you are a self-starter, someone who thrives in a fast-paced and ever-changing environment, with an uncanny knack and passion for developing data intensive applications, then you are the right candidate for our team. Join us at the Central analytics Team of Amazon's Selling Partner (SP) Support Org and become part of a global team that is redefining the future of e-commerce. With access to vast amounts of data, cutting-edge technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way sellers engage with our platform and customers worldwide. Together, we will drive innovation, solve complex problems, and shape the future of e-commerceAs a Data Engineer, you will be working in one of growing and challenging spaces of Selling Partner (SP) Support Org. You will design, implement and support scalable data infrastructure solutions to integrate diverse data sources, aggregate, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You will be working on cutting edge AWS big data technologies. You should have excellent business and communication skills to be able to work with business owners and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate. BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

Do you love solving problems whose solutions make the world a better place? As the Amazon Community Impact team, we lead philanthropic initiatives for leveraging Amazon's assets for good, concentrating on the pillars of Education, Housing Equity, Disaster Relief, Food Security, and support for employees and teams volunteering in our communities. https://www.aboutamazon.com/impact/communityAs a Data Engineer you will work in a small, highly collaborative, results-oriented tech team (BIEs, DEs, SDEs), and will be partnering with Product and Program Managers, in a environment that leverages agile planning techniques. The successful candidate will write high-quality code, and work with various stakeholders to design, implement, and support a scalable data infrastructure for business intelligence and analysis, balancing and aligning their requirements with the team long term data vision. We are looking for an engineer who is comfortable working through ambiguity and is a creative problem solver. And, of course, has a passion for the community.Key job responsibilitiesAs a Data Engineer, you will design, develop and enhance scalable data systems and pipelines supporting Amazon's ability to scale our work with community partners, and to measure the activity and impact globally. You will build conceptual data models to harmonize disparate data sets, and technical solutions that scale across use cases. You will become a subject matter expert for community, impact and charitable giving data pipelines across dozens of internal and external data streams, while striving for efficiency by aligning data systems and data management approaches with organizational needs. You will collaborate with other data engineers, software developers, business intelligence engineers as well as program and product partners to deliver end to end solutions that meet business goals. You will work with your internal customers to balance customer requirements with team requirements and develop data solutions to help your team and business evolve.A day in the lifeYou'll be part of a bigger tech team (SDEs, DEs, and BIEs) joining all their ceremonies, starting with the sprint planning, dailies, demos and retrospectives.The ACI team has created and launched the following projects as part of their day to day, with our tech owners playing a key role. We look forward to hearing your ideas for what could be next:Disaster Relief by Amazon: https://www.aboutamazon.com/news/community/amazons-disaster-relief-doesnt-end-with-donationsFood Security: https://www.aboutamazon.com/impact/helpforhunger Donations Hub:https://business.amazon.com/en/discover-more/blog/donationshubMeet an Amazonian:https://www.aboutamazon.com/news/community/amazon-employees-share-their-stories-to-spark-student-curiosity-in-techBASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL ...

The Strategic Account Services (SAS) organization strives to improve the Amazon customer experience by working directly with selling partners to enable more selection, reduce defects, and drive growth across their businesses. Our team invents and innovates across technology, processes and people to enhance the services we offer, improve selling partner engagement and satisfaction, and build scalable solutions. We are seeking an experienced, motivated, self-directed Senior Business Analyst to join our team. You must thrive on solving complex problems and providing insights to help us improve the business and seller experience. You will generate insights that will guide operational excellence and product development for our customers. Data analysis 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 have the opportunity to work with a large and complex data warehouse to gather insights using data from across Amazon. These efforts will improve the ways in which we service our sellers and improve the business performance for SAS. We are looking for someone with a broad technical background in data analytics, strong business acumen, who takes ownership of their work, and is focused on customer needs - you will own central team mechanisms, and help senior leaders make key business decisions. The successful candidate will communicate crisply in non-technical terms to senior management. They will have an ability to make data-driven conclusions and will be comfortable with ambiguity while working in a fast-paced dynamic environment. The candidate will also need to be a collaborator who can work with internal and external teams to define and implement solutions that will yield benefits to Amazon customers around the world.Key job responsibilities• Build a data structure and reporting process by working through various business parameters, which establish truth in data• Understand the business challenges and identify data-driven business insights with effective presentation of findings at multiple levels of stakeholders• Design and conduct experiments on the effectiveness and efficiency of different initiatives to improve key output metrics and help shape the long-term strategy• Leverage data to increase the efficiency of our programs working closely with the business teams to drive optimization• Update existing and create new metrics and reporting that help drive business conclusions, continually improving reporting and analysis processes• Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to help determine key business conclusions• Recognize and adopt best practices in reporting, analysis, and research (data integrity, test design, analysis, validation, and documentation)BASIC QUALIFICATIONS- Bachelor's degree- 5+ years of tax, finance or a related analytical field experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau- 3+ years of experience writing SQL queries and creating business intelligence reports ...

Amazon's Fulfilled by Amazon (FBA) Voice of Seller team seeks a Senior Business Analyst with a strong technical skill set and a proven ability to influence across multiple organizations. Over the last 20 years, the share of physical gross merchandise sales sold on Amazon by third-party Sellers has grown. With Sellers in multiple countries listing their products for sale on the Amazon Marketplace, these Sellers are increasingly critical to delivering on Amazon’s vision of offering the Earth’s largest selection and lowest prices.This role will work with science and marketplace business teams to build advanced models to reduce end to end supply chain costs for FBA Sellers. You will build bridges to explain variance in inventory at granular levels to drive appropriate action within FBA product, marketplace business teams, and FBA Sellers. This is an analytical role which will require you to work closely with science and Machine Learning teams. This role will expose you to Seller pain points and ability to reshape their experience by influencing product vision and roadmap to implement step change product ideas globally. This is an opportunity to work in a startup like environment within Amazon and we seek an analytics leader who is motivated by a fast-paced and highly entrepreneurial environment. If you have a passion for innovation, for thinking big to tackle ambiguous problems, for solving some of the biggest technical challenges in the industry, and for building elegant products that delight our customers, we need you!Key job responsibilities• Analyze seller experience trends and build engagement metrics for each marketplace. • Identify opportunities to improve supply chain efficiency and reduce end to end supply chain cost for Sellers. • Design seller facing experiments liaising with Product and Science teams. • Develop Key Performance Indicators that help measure experimental efficacies • Create actionable bridges to explain variances in seller behavior to expected experimentation outcomes. • Engage with stakeholders across marketplace business teams, capacity, S&OP and Finance teams to socialize FBA inbound and inventory KPIs • Design and implement reporting solutions to enable stakeholders to manage the business and make effective decisions. • Support cross-functional teams on the day-to-day execution of the existent program implementation. • Monitor existent metrics, build new metrics, and partner with internal teams to identify process and system improvement opportunitiesA day in the lifeAs a Sr. Business Analyst, you will help develop analytic solutions to drive deep dives, provide insights into the health and state of the FBA business. You will transform data for the millions of unique products involving hundreds of thousands of Selling Partners and tens of millions of customers around the world into actionable business information, make it accessible to stakeholders worldwide. You will communicate complex ideas to leadership so they are easily understood. You will own the design, creation, and management of extremely large datasets. From Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports, dashboards, metadata modeling, pipeline development and monitoring. You will interact with leadership, scientists, program and product owners, and technical teams to gather requirements, structure scalable data 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.BASIC QUALIFICATIONS- Bachelor's degree in supply chain management, operations, engineering, analytics or related field- 5+ years of business or financial analysis, product costing, procurement, or a quantitative role experience- 5+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience- Experience defining requirements and using data and metrics to draw business insights- Experience with QuickSight dashboard and visual creation ...

Does the opportunity to have direct, high leverage impact for customers at Amazon’s worldwide scale motivate you? Amazon provides gift cards, incentives, and stored value experiences at a global scale, across a portfolio of products and experiences that address the needs of hundreds of millions of customers, both consumers and B2B. Our organization owns everything from the long term product vision and strategy, the day-to-day customer experience, the marketing strategy and budgets, to the P&L. Data driven decisions are critical to our ability to innovate at scale and with speed. Our team is seeking a curious and analytical problem solver to deliver actionable, strategic insights across the wide range of problem statements that our global organization faces. The range of problems to tackle span product, marketing, fraud, pricing, supply chain, logistics, operations, to customer service. This analytics leader will work directly with senior leadership across product, business, and operations, partnering with a team of analysts, business intelligence engineers, data scientists, and data engineers to deliver actionable insights with immediate impact to customers and the P&L. This role requires the day-to-day, consistent application of these abilities:* The ability to work backwards from customers - e.g. able to see and explain how customer behaviors show up (or don’t) in the data available.* Proficiency with the multiple business models managed by our global businesses and their respective P&Ls.* The ability to define the right analytical questions that will efficiently enable the key decisions needed, quickly driving clarity and structure to ambiguous problem statements.* Comfort in exercising strong judgement on where simplification is needed versus when nuance is required.* Equally comfortable where data is available (e.g. developing detailed and granular customer behavior metrics and dashboards) as well as where the metrics are not yet defined, the data is not available, or cannot be directly measured. * Effective verbal and written communications to a wide range of audiences and partners. Adept at i) translating high level customer and business problems in to analytics approach and data requirements for execution and ii) translating complex analyses into effective communications to inform and influence senior Amazon leadership.* Able to raise and maintain a high bar on analytics accuracy through efficient and scalable mechanisms.* Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format. * Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support our business needs.BASIC QUALIFICATIONS- 7+ years of business or financial analysis, product costing, procurement, or a quantitative role experience- Experience making business recommendations and influencing stakeholders- Experience defining requirements and using data and metrics to draw business insights- Bachelor's degree- Experience with SQL- 5+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience- 2+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience ...

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 ...

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

Do you have a desire to make a major contribution to the future in the rapid growth environment of Cloud Computing? Amazon Web Services is looking for a Sr Business Intelligence Engineer to help build a scalable, predictive, and prescriptive business analytics platform that supports the AWS Infrastructure Supply Chain Finance (SCF) organization. You will be part of the Finance Analytics team working with Business Analysts and Data Engineers to achieve our goals.You will have a passion to dive deep, a high level of customer focus and a track record in process improvement. This role requires an individual with excellent analytical abilities, strong knowledge of business intelligence solutions and the ability to work with Finance, quantitative and business teams. You will lead multiple automation and controllership initiatives across the Finance org. You will be primarily using but not limited to AWS solution stacks like Redshift, S3, Glue, Lambda, Data pipeline and reporting tools such as Tableau and Alteryx/KNIME to implement BI solutions.Key job responsibilities Develop and implement scalable and reliable analytics, tools, KPI dashboards, and metrics that drive key supply chain, financial, and procurement decisions. Design and implement metrics dashboards to deepen understanding of cost structures, capital spend, and variances highlighting opportunities for improvement. Collaborate with Finance, Tax, Supply Chain, Procurement, and Engineering to capture requirements and deliver analytics solutions. Develop and implement analytics to continually improve continuity of supply and operational efficiencies. Apply automation so that with every iteration on a problem, you build your solution to have maximum scale and self-service ability by stakeholders. Understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use. Recognize and use advanced analytical techniques to recommend prescribed/ optimized courses of action to users. Interface with Data Engineers, Business Analysts and stakeholders to deliver complete BI solutions. Employ data mining, segmentation, and other analytical techniques to capture important trends in the supply chain, cost, and customer base. Participate in strategic and tactical planning discussions to interface with business customers, gathering requirements and delivering complete reporting solutions.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field ...

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 enjoy fusing marketing, customer experience, and technical skills to create a holistic, data-driven picture? 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 responsibilitiesDesign, 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.)Onboard and monitor the new features for current and future roadmap of RAFT (Reporting and Fast Twitch Insights) and TaCS (Taxonomy and Campaign Spend) for reporting and measurement with data of XCM US campaigns to enable data-driven decision-making 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 limitationsDeliver minimally to moderately complex data analysis to support business needsAdopt 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- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience writing complex SQL queries- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business ...

Senior Business Intelligence Engineer Come build the future as a Senior Business Intelligence Engineer at Amazon, where you will be inspired work-ing along best-in-class inventors and innovators! You will have the opportunity to create meaningful experi-ences that deliver on the ever-evolving needs of our customers, and your work will impact millions of people around the world. As an Amazon Senior 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 Senior 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 Cana-da. 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 be-tween your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a better-rounded contributor.Inclusive Team CultureHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Key job responsibilities• You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tools/languages like SQL, Excel, and others, to translate tdata into meaningful insights through col-laboration 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; build solutions to have maxi-mum scale and self-service ability by stakeholders• 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, vali-dation, and documentation• Learn new technology and techniques to meaningfully support product and process innovationBASIC QUALIFICATIONS- 7+ years of professional or military experience- 5+ years of SQL experience- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Bachelor’s degree in Statistics, Economics, Math, Finance, Engineering, Computer Science, Information Systems, or a related quantitative field.- Proficient in theories, experimental design and statistical a concept for deriving insights form large – scale data analysis- Ability to operate successfully and independently in a fast-paced environment.- Comfort with ambiguity and eagerness to learn new skills. ...

Global Talent Management and Compensation (GTMC) is centrally responsible for creating and evolving Amazon’s talent programs and processes. The Executive Talent Management Analytics team is a team of Business Intelligence Engineers and Data Engineers with a direct impact on 300,000+ Amazonians across all of our businesses and locations around the world. We use employee data to drive the right conversations with S-Team leaders and other executives about how to improve existing talent programs and explore new and developing questions that shape our talent landscape.The Executive Talent Management Analytics team is looking for experienced BI engineer to support the end-to-end business intelligence for new and evolving talent products, proprietary to Amazon. In this role, you will work directly with customers, leaders, and program owners, influencing opportunity identification, product design, data capture, reporting/measurement, and evaluation strategies. You will use existing data/research to identify new challenges and opportunities, as well as data collected through methods you create/define. You will leverage your subject matter expertise and strong written/verbal communications skills to develop reproducible research/analyses shared with PXT analysts embedded across Amazon’s diverse set of businesses. As the end-to-end analyst for the product, you will also build proof-of-concept reporting tools, while scaling ad hoc data access, enabling the product team self-serve and make informed decisions in a fast-paced, ambiguous business environment.Key job responsibilities· Align with leaders and customers to translate business issues into testable hypotheses answerable with data.· Develop and execute analyses to drive talent insights.· Create data capture and measurement strategies that drive business action.· Drive a roadmap from descriptive to predictive analytics, moving routine tasks to self-service for your client group.· Work closely with peers and stakeholders to access, pull, transform, and analyze data from a variety of PXT sources.· Gather new data, and/or creatively use existing data to propose metrics and present them in compelling but easily understood way to a non-statistical audience.· Apply statistical tests to data, including (but not limited to), t-tests, chi-square, and regression.· Compile results in a concise, meaningful, and actionable format and share findings to senior leadership.· Build processes to scale fast and accurate on-demand and ad hoc data/analytical requests for leadership and key stakeholders.A day in the lifeAs 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.Come build the future as a Senior 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.About the teamWork/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 writing complex SQL queries- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Amazon Inbound Transportation Business Intelligence is seeking a candidate who is passionate about leveraging data to deliver actionable insights that impact business decisions to improve customer experience. Amazon transportation encompasses all of the operations that deliver shipments from our fulfillment centers and third party locations to customers worldwide. Because we strive for faster delivery to customers a successful candidate must be passionate about identifying and building solutions that will help drive a more efficient network and better customer experience.This role offers the opportunity to influence and drive a growing business area. The Senior Business Intelligence Engineer (Sr. BIE) will partner with various Amazon Inbound Transportation (AIT) teams to define, develop and manage the cross-functional strategy for U.S. domestic inbound transportation. They are accountable for identifying gaps and opportunities for improvements, and keeping stakeholders/leadership informed of progress. This person will also collaborate with a diverse set of stakeholders including product managers, program managers, data scientists, software development engineers and other partner teams across all regions and transportation modes of U.S. domestic inbound. 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 AIT BI team to do the same.Key job responsibilities- Develop and lead design and execution of reporting solution for AIT - 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 discussionsA day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan Learn more about our benefits here: https://www.amazon.jobs/en/internal/benefits/us-benefits-and-stockAbout the teamAmazon Inbound Transportation (AIT) is responsible for optimizing cost-effective flow throughout Amazon’s inbound network while providing Amazon with greater control, performance, and inbound visibility. The AIT BI team within AIT is responsible for inbound data analytics and engineering support for the AIT org and various stakeholder and partner 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 ...

Amazon’s global fulfillment network enables any merchant to ship items that are ordered on Amazon to any place on earth. There is a complex network of ways in which items move between vendor locations, Amazon warehouses, and customer locations as well as several intermediate locations through which packages travel before reaching the customer. With a scale of millions of packages, each with different attributes and delivery requirements, what results is a highly dense graph of nodes.We have built a highly respected BI and Data Engineering team which is focused on solving complex problems in worldwide transportation using workflows, optimization algorithms, and machine learning systems. These are large-scale distributed systems handling millions of packages being shipped through the Amazon logistics network.As a Business Intelligence Engineer, you will develop datasets, dashboards, reports, and visualizations using BI tools, and provide data-driven recommendations to support strategic planning within Amazon Shipping. Additionally, you will deliver across planned projects that will improve overall cost and profitability for the business.Key job responsibilitiesData Management and Integration: Collect, process, and manage large datasets from various sources, ensuring data accuracy, consistency, and accessibility.Data Analysis: Analyze complex data sets to identify trends, patterns, and insights that can inform business decisions.Reporting and Visualization: Develop and maintain dashboards, reports, and visualizations to present data insights in an understandable and actionable format.Stakeholder Collaboration: Work closely with stakeholders to understand their data needs, provide data-driven recommendations, and support strategic planning.Tool and Technology Utilization: Utilize and stay updated with the latest BI tools and technologies to enhance data analysis and reporting capabilities.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 ...