Business Intelligence

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

Interested in working on an innovative and high-impact business that is changing the way customers think about grocery? Amazon is looking for a customer obsessed, and motivated individual to join the Amazon Fresh Grocery team. Our team is responsible for the omnichannel Amazon Fresh business, both online and stores. As Business Analyst, you will develop solutions to drive business and financial insights and optimization for the Amazon Fresh Grocery business. On this team, you will have an opportunity to collaborate with a group of passionate business leaders, category managers, operations specialist, product managers, research scientists, and software developers to help bring data-driven insights to the fore. This position requires innovative thinking, ability to quickly approach large ambiguous problems and apply reason, technical and engineering expertise to rapidly research, validate, visualize, prototype and deliver analytical solutions. This position also requires significant cross functional partnership and clear communication skills. Successful candidates will thrive in a fast-paced, ambiguous, growth-oriented and collaborative environment.Key job responsibilities• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc.• Partner with 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.BASIC QUALIFICATIONS- Bachelor's degree or equivalent- 3+ years of business analyst, data analyst or similar role experience- 3+ years of business or financial analysis experience- 3+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience- Experience in Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with SQL- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner ...

We are looking for motivated BIE to join the Amazon Global Cross Border Selection Team. The BIE will work side-by-side with the Product and Business team members as they support the team driving success and growth of Cross Border Selection Expansion. This is an exciting opportunity to develop analytical insights and work directly with business and product leaders to shape Cross Border Selections Expansions Strategy.Amazon Global is pioneering cross-border e-Commerce by becoming a one-stop shop for Amazon Customers Worldwide and providing a seamless experience to shop international selection. Selection is a key input driver for this business and we are looking for a dynamic, organized and self-starting BIE candidate to take on a critical role in developing cross border selection reporting and analytics to deliver key insights to teams around the work for one of Amazon’s fastest growing businesses.Our team is a cross section of product and program managers who own the end-to-end strategy and execution of growing selection offerings for worldwide customers. The optimal candidate will owns the reporting and analytics for selection growth across 45+ countries deep diving to develop insights that help drive our strategy for acquiring new selection and retaining existing selection. Our team works with product, tech, legal, ML, and compliance teams across the world to deliver unique selection that delights our customers around the world.As a Business Intelligence Engineer, you will work with our Business and Product Teams to create automated and scalable analytical tools that will ultimately be critical in driving the growth and expansion of the business. This includes building the infrastructure for regular reporting on business and production selection data and diving deep to uncover insights that will impact selection expansion decisions. You will leverage data to provide key data-driven insights, enable new analyses, and innovate on behalf of our business customers.Key job responsibilities· Own, design, develop, document, and manage scalable solutions for new and ongoing metrics, reports, analyses, and dashboards to support business needs. · Generate actionable insights through the development of metrics, dashboards and deep dive analyses. · Serve as a technical, business-metrics specialist and insight provider in the organization. · Act as a key interface between our business customers and technical divisions. · Leverage extensive data sets to derive strategic insights that shape business decisions on content spend. · Present insights to senior stakeholders in Product and Business Teams. · Work in a fast paced, global environment, across various functional teams.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field ...

Amazon'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 ...

Amazon’s Global Supply Chain (GSC) is looking for a Business Intelligence Engineer for the Supply Chain Innovation (SCI) team. SCI plays an important role in defining and shaping Amazon’s inbound supply chain's long-term strategy. We are responsible for the incubation and execution of highly visible supply chain projects across low-cost storage, bulk fulfillment, inbound cross-docks, fast-deploy fulfillment, and network optimization. Our solutions address the needs of the inbound network in order to meet the speed, cost, and resiliency demands of our customers.In this role, you will be leveraging various analytic and visualization techniques to support data-driven storytelling, and look around corners to continuously raise the bar on our business insights capabilities. You will collaborate across supply chain and research science teams to meet the current and future needs of the business through data gathering, automation, standardization, and reporting.The ideal candidate is an individual with excellent analytical abilities and a creative mind to invent solutions in technical architecture, business process, and financial outcomes. The successful candidate will be a self-starter comfortable with ambiguity, who has a strong attention to detail, and enjoys working with large-scale data.Key job responsibilities• Deep dive into operations execution and business problems, use analytical and statistical rigor to identify trends and opportunities, and present written and verbal analyses to drive improvements • Improve business results through creating best-in-class metrics, analysis, visualizations, and data-driven storytelling • Adopt best practices in reporting and analysis: data needs, data integrity, test design, analysis, validation, and documentation • Develop an understanding of the broad range of Amazon’s data resources, which to use, how, and whenBASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Amazon’s Account Integrity team within the Customer Trust and Partner Support organization is looking for a passionate, results-oriented Business Analyst to leverage data to deliver projects with huge strategic impact. This team designs and builds high performance software systems using machine learning that identify and prevent fraudulent activity and maintain high trust levels with our customers. Fraud prevention is a real-money game where our software and analytics teams strive to outsmart those who attempt to defraud Amazon and our customers.As a Business Analyst in the Account Integrity group, you will be responsible for analyzing and reporting large data sets in partnership with product managers, scientists, and engineers to ensure the team is prioritizing the right goals and opportunities to stop bad actors and protect customers.Responsibilities:- Create, maintain, and improve data sets, pipelines and reporting to track and manage important KPIs and goals in the Account Integrity space- Conduct quantitative analysis, data visualization and data-mining to derive actionable insights and guide product strategy for stakeholders and leadership- Develop internal reporting/visualization tools for self-serve purposes- Provide analytical support for new feature launchesKey job responsibilities- Deep diving business trends, analyzing anomalies and guiding business decision-making through data- Building dashboard/scalable metric tracking mechanisms- Working closely with Business and Operations teams to find ways to mitigate bad actor attacksBASIC QUALIFICATIONS- Bachelor's degree or equivalent- Bachelor's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field- Experience with SQL or ETL- Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages ...

Join Amazon's Global Logistics team as a Senior Business Intelligence Engineer and help shape the future of our cross-border logistics capabilities. You'll lead the development of cutting-edge analytical solutions and data automations that optimize the speed, cost, and reliability of global import shipments. This role offers a unique opportunity to work with a diverse, international team and make a significant impact on Amazon's worldwide operations.Key job responsibilities- Design and develop scalable data warehouse solutions and pipelines- Create complex data processing jobs using advanced technologies- Collaborate with stakeholders to understand business needs and deliver insights- Lead business intelligence initiatives for North American operations- Provide technical guidance and influence decision-making within the teamA day in the lifeAs a Senior Business Intelligence Engineer, you'll start your day by checking in with your team across different time zones. You might begin working on a new data pipeline to improve visibility into import shipment delays, collaborating with data engineers to optimize the solution. Later, you could meet with business stakeholders to present your latest analysis on cost-saving opportunities in the logistics network. Throughout the day, you'll be problem-solving, coding, and mentoring junior team members, all while keeping an eye on the broader impact of your work on Amazon's global logistics operations.About the teamThe Global Logistics Analytics team is dedicated to delivering trusted, accessible, and actionable data insights that drive business decisions. We manage a wide range of reporting and analytical products across European and North American operations. Our mission is to enhance the speed, cost-efficiency, and reliability of global import shipments through data-driven strategies. We're a fast-paced, innovative team that values continuous learning and evolution in the rapidly changing world of global logistics.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 Learn more about our benefits here: https://www.amazon.jobs/en/internal/benefits/us-benefits-and-stockBASIC 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 AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining ...

The People Analytics, Insights, and Research (PAIR) team within PXT supports two of Amazon’s most exciting businesses: Devices & Services (the innovators behind Echo, Kindle, Ring and Kuiper Low-orbit satellite program) and Artificial General Intelligence (the team behind Generative AI foundational model development at Amazon). We are seeking an experienced, curious and motivated Sr. Business Analyst to act as our direct liaison and “Analyst in the Line” for several PXT organizations supporting Devices businesses. Our work is dedicated to empowering leaders and enabling action through data and science. In addition to standard reporting, we seek to leverage analytics to help our leaders focus their efforts in ways that will engage, retain and grow their team members to propel the business forward.Key job responsibilities- Interview stakeholders to gather business requirements and translate them into data and analytic deliveries to be actioned by yourself and the team.- Write Extract-Transform-Load (ETL) jobs using sql and Amazon Big Data Technology in order to create fully-automated business metrics and insights.- Own the design, development, and maintenance of business-driven people metrics, reports, analyses, dashboards, etc. in order to drive key business decisions- Monitor and troubleshoot operational or data issues in the data pipelines and work with appropriate upstream data owners to resolve.- Review and audit existing team-owned ETL jobs, SQL queries, permission structures and metrics presentation for accuracy and to maintain the highest standard.- Identify and recommend opportunities to Junior analysts in order to enhance capability and quality of team operations and outputs.- Learn and understand a growing range of Amazon and specifically PXT data resources and discover how, and when to use which data sets.A day in the life- Work closely with HR teams across the globe, building on your strong analytical skills to support multiple teams with regular production of metrics and analytics that are meaningful and scalable.- Use your skills in ETL, automation, and data visualization to provide actionable insights for our teams.- Develop, automate and maintain Monthly and Quarterly business reviews for leaders in supported businesses- Conduct and present statistical analysis, such as regressions, chi-square testing, and confidence intervals in order to distill decisions from large-scale data.- Establish scalable, efficient and automated processes for large scale data analyses- Provide ad-hoc or special project data analysis to PXT Business Partners and Devices Business Leaders that enable them to achieve their people KPIs, drive decision making and create new strategies.About the teamThe PAIR team is a multi-functional team which leverages diverse skills of engineers, analysts and researchers in order to curate an optimal set of tools and innovative products for our customers in PXT and in the D&S and AGI businesses.BASIC QUALIFICATIONS- 5+ years of tax, finance or a related analytical field experience- 3+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience- Bachelor's degree- Experience defining requirements and using data and metrics to draw business insights- Experience with Excel- Experience with SQL- Experience making business recommendations and influencing stakeholders ...

This is your opportunity to be part of a team that has direct impact on foundational cloud services such as Amazon Elastic Compute Cloud (EC2), Amazon’s Simple Storage Service (S3), Amazon Q Developer, Serverless, Databases, Networking and many more. As a Manager of Business intelligence team in AWS Analytics Engineering, you will be responsible for owning end-to-end analytical roadmap for your supported AWS services. You will work closely with business leaders, finance, and technical teams to analyze many non-standard and unique business problems, creatively problem-solving to deliver actionable output. You will lead and oversee business intelligence initiatives across multiple AWS products to provide accurate and timely business metrics that enable data-driven decision making across AWS. As you design your service's analytical capabilities, you will be redefining best practices with a cloud-based approach to scalability and automation.Key job responsibilities- Lead and manage a team of junior and mid-level business intelligence/data engineers.- Lead prioritization of projects based on business impact and actionable insights.- Enable team self-sufficiency through training, transparency, and access to methodologies- Establish team business practices, roles and responsibilities, and professional development opportunities.- Partner with senior leadership Product/finance/Business development functions and provide actionable insights on a regular cadence. - Build and maintain the data infrastructure to answer business questions with data using data engineering best practices.- Create a analytical roadmap for your supported services and oversee its execution through collaboration with Data Engineers, Business Intelligence Engineers, Data Scientists, Business Analysts, and Product/Program Managers.- Understand the business and technical requirements, and make decisions that help make the products/programs smoother.A day in the lifeTo be successful in the role, you need strong team management, communication and analytical skills, alongside with the ability to manage stakeholders’ expectations to deliver the strategic plan with your team. You will work in a collaborative and empowering work environment where cross-functional teamwork drives success, and your expertise in data-driven innovation is highly valued. You’ll have the autonomy to lead initiatives, the support to grow professionally, and the opportunity to make a meaningful impact by delivering actionable insights that shape key business decisions.About the teamUtility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.About AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- Advanced degree in Business, Science, Technology or related disciplines- 8+ years of business intelligence and analytics experience- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience- Experience managing, analyzing and communicating results to senior leadership.- Proven track record in implementing organizational change management strategies.- Experience in creating analytics roadmap and making appropriate tradeoffs when needed.- Experience in data manipulation through SQL, ETL, Python, Relational/Non relational database systems.- Experience with data visualization using Tableau, Quicksight, or similar tools ...

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

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.re:Cycle Reverse Logistics is an electronics processing, reuse, and recycling company that works to extend the life of used electronic equipment through reuse, repair, and recycling. We are a stand-alone company within the Amazon corporate family that provides services to other Amazon companies. We specialize in the handling of valuable electronic equipment that was originally used in data centers. Come join our team and be a part of history as we deliver results for the largest cloud services company on Earth! re:Cycle Reverse Logistics is looking for a talented, driven, and analytically focused Business Analyst in support of our Reverse Logistics (RL) program. As a Reverse Logistics Business Analyst you will be responsible for developing metrics, dashboards and automatic solutions to support multiple initiatives within our global network focused on sustainability and recovery. Dashboard creation will support daily operations, track KPIs, and provide holistic performance measurements to be shared with internal and external stakeholders. The role plays a critical part in ensuring strategic commitments are made and operations are exceeding desired performance levels by using metrics to drive accountability and process improvements. To achieve this you will need to partner with the multiple project leads to align on business needs in order to continuously optimize our end-to-end supply chain.Key job responsibilitiesWorking on a diverse project portfolio supporting Sustainability and recovery initiatives and strategy.Cross-functional collaboration across multiple business teams, Operations, Commercials, Program Management and Finance leadership.Coordination of global analytic roll-ups in support of project work and reporting as needed.Create new pipelines for automation, reporting & analytic opportunities by analyzing and understanding key processes.Document writing and presentations on key initiatives used to influence necessary business actions benefiting the RL Network.About the team*Why AWS*Amazon 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.*Diverse Experiences*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.*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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.*Inclusive Team Culture*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.*Mentorship and Career Growth*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- Bachelor’s degree - 3+ years of business analyst, data analyst or similar role experience- 3+ years experience with data visualization using Tableau, Quicksight, or similar tools- Minimum 2+ years experience with SQL ...

How often have you had an opportunity to be a member of a team that is tasked with solving customer needs through disruptive and innovative technology? Everyone on the team needs to be entrepreneurial, wear many hats and work in a fast-paced, ambiguous, and highly collaborative environment that’s more startup than big company. If this sounds intriguing, then we’d like to talk to you about a role on the Amazon Defect Elimination Analytics team. This team drives Amazon towards a defect-free customer experience by building technology that rapidly identifies defects, associates them with the information required to resolve the root cause, and prioritizes the multitude of improvement opportunities based on business and customer needs. To continue expanding our defect elimination program, we seek a passionate, results-oriented, Business Intelligence Engineer (BIE).The BIE will partner with Software Developers, Data Engineers, Research Scientists, Economists, Program & Product Managers to provide insights on customer feedback, create key performance indicators (KPI's) for our products, and assist in feature engineering and model development. The ideal candidate has strong business judgment, organization skills, backbone, experience measuring product performance, and collaborates well with product owners to answer key questions. The operating environment is fast paced and dynamic, however has a strong team dynamic and welcoming culture. To thrive, this candidate must be detail oriented, enthusiastic and flexible, in return they will gain tremendous experience with the latest in big data technologies as well as exposure to statistical and Natural Language modeling through collaboration with scientist on global issue detection models and development. Key job responsibilities - Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. - Partner with operations/business teams/economist/machine learning (ML) teams to consult, develop and implement KPI’s, automated reporting/process solutions and data infrastructure improvements to meet business needs. - Develop the end-to-end automation of pipelines for applications and ML models. - Apply analytical skills to extract meaningful insights and learnings from large and complicated data sets. - Serve as liaison with business and technical teams to achieve project objectives, requiring data gathering, problem solving, modeling, and communication of insights and recommendations.A day in the lifeIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!”Benefits Summary:Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanBASIC QUALIFICATIONS- 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- Experience writing complex SQL queries- Bachelor's Degree ...

Amazon’s Global Risk Management & Claims team is seeking a highly skilled and detail-oriented Business Analyst with a robust background in economic theory, auto claims management, and data analytics. The ideal candidate will possess an in-depth understanding of insurance claims processes, a keen interest in economic principles, and proficiency in dissecting complex datasets. As a Business Analyst, you will play a pivotal role in extracting valuable insights from claims data, employing economic theories to evaluate risk factors, utilizing data metrics to optimize our claims management processes, and providing strategic recommendations to key stakeholders.Key job responsibilities- Partner with cross functional business teams to consult, develop and implement metrics, automated reporting/process solutions, and process improvements to meet business needs.- Apply economic theories and models to assess claims trends, evaluate risk factors, and predict future claim performance.- Conduct in-depth economic analyses to evaluate the financial impact of claims and recommend cost-effective strategies for claims resolution.- Utilize advanced data analytics techniques to evaluate large and complex claims datasets.- Generating actionable insights through the development of key performance metrics, dashboards and analytics.- Identify opportunities for process improvements and automation within the organization.A day in the lifeIn this role, the Business Analyst will partner with key stakeholders to dive deep into business challenges and loss trends, aiming to unearth crucial insights. The ideal candidate will cultivate partnerships across various business lines to gather business requirements, develop metrics and reporting, establish key performance indicators for third-party vendors, deliver actionable insights to mitigate financial and operational risks. This position demands an adaptable individual with exceptional analytical skills and strong business acumen. The ideal candidate is customer obsessed, both internally and externally, and will work back from the customer to meet business objectives.BASIC QUALIFICATIONS- Bachelor's degree- 5+ years of tax, finance or a related analytical field experience- 3+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience in Casualty Insurance claims management. ...

Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high quality sites across the web, and on millions of Kindles, tablets, and mobile devices. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place.Amazon is investing heavily in building world class advertising solutions that shift away from using traditional cookies/identifiers to new modeled machine learning solutions to achieve campaign performance. Our products are strategically important to the advertising business as the intersection of consumer privacy and new ways of advertising is at a critical period of change. We deliver billions of ad impressions and clicks daily and are breaking fresh ground to build new avenues for advertisers.As a business intelligence engineer you will have strong technical acumen and experience in developing reporting infrastructures and flexible front-end tools. You will conduct deep dive analyses of business growth opportunities and formulate conclusions for senior leadership. You will be working with a unique and gifted team developing exciting products for marketers and business leaders while collaborating with cross-functional teams. Often, the ideal set of data will not be available and you will have to think creatively about what is available in order to drive results. You will also be responsible for producing written recommendations and insights for key stakeholders that will help shape effective marketing and business strategies and tactics.Key job responsibilities* Analyze relevant business information, and uncover trends and correlations to develop insights that can materially improve our business and marketing strategies and tactics.* Develop new and innovative analyses to inform our stakeholders business and marketing strategy.* Establish new, scalable, efficient, automated processes for tracking and reporting on progress of marketing campaigns and activity* Design, develop and establish KPIs to provide strategic insights to drive growth and measure performance marketing* Partner and with cross-functional teams to deliver business results* Manage, maintain, and improve the team's self-service reporting infrastructure, pipelines, and dashboardsAbout the teamThe ADSP Product Analytics team is responsible for building platform that can make access to insights and metrics as easy as shopping on Amazon.com. And working backwards from this, we provide PMs access to KPIs and other insights via interactive visualization. We also enable our customers to analyze the data through self-serve query capabilities provided in an easy to use platform using Amazon’s out of box solutions. In addition to analytics, we provide data engineering support by building a scalable infrastructure in AWS that ensures data availability, security and accuracy.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 ...

Utility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.About AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Amazon is looking for a highly respected Business Intelligence Engineer to join the AWS Product BI team. This is your opportunity to be a core part of the team that has direct impact on the day-to-day decision making in the many AWS Product teams like EC2, S3 and IoT.Since early 2006, AWS has provided companies of all sizes with an infrastructure platform in the cloud. AWS is a high-growth, fast-moving division within Amazon with a start-up mentality where new and diverse challenges arise every day. On the AWS Product BI team you will be surrounded by people that are exceptionally talented, bright, and driven, and believe that world class BI is critical to our success. To help build this growing team, you must be highly analytical and possess a strong passion for analytics and accountability, set high standards with a focus on superior business success. We take working hard, having fun, and making history seriously. AWS sets the standard for functionality, cost, and performance for many cloud based services, but it’s still early days for cloud computing, and there are boundless opportunities to continue to redefine the world of cloud computing - come help us make history! As a BI engineer on this team, you will be responsible for generating new insights to help guide the strategic direction of our products and businesses. You will get the exciting opportunity to work on very large data sets in one of the world's largest and most complex data warehouse environments. You will work closely with the business and technical teams in analysis on many non-standard and unique business problems and use creative-problem solving to deliver actionable output. Our team is serious about great design and redefining best practices with a cloud-based approach to scalability and automation. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, and an ability to work effectively with cross-functional teams.Key job responsibilities - Work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs. - Design and implement reporting solutions enabling stakeholders to manage the business and make effective decisions. - Conduct ad hoc data analysis and data quality investigations. - Implement training and documentation solutions that enable business stakeholders to get the most out of our self-serve reporting tools. - Develop and support the analytical technologies that give our customers timely, flexible and structured access to their data. - Design and implement an analytical environment using third-party and in-house reporting tools, modeling metadata, building reports and dashboards. About the team Inclusive Team Culture Here at AWS, 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. Work/Life Balance Our 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. This position involves on-call responsibilities, typically for one week every two months. We don’t like getting paged in the middle of the night or on the weekend, so we work to ensure that our systems are fault tolerant. When we do get paged, we work together to resolve the root cause so that we don’t get paged for the same issue twice. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.BASIC QUALIFICATIONS- - Bachelor's Degree in Computer Science or a related technical field, and solid years of relevant experience.- - 5+ years of experience with and detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures.- - 5+ years of experience with relational and star schema data modelling concepts with a solid knowledge of SQL and PL/SQL.- - 2+ years of large IT project delivery for BI oriented projects.- - 2+ years of working with very large data warehousing environment ...

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, and self-directed Senior Business Intelligence Engineer 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 lead development of automated forecasting models to 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 be gathering customer insights, mining data, making recommendations, and helping senior leaders make key business decisions. 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 reporting automation, forecasting, and experiment design, with a strong business acumen, who takes ownership of their work, and is focused on customer needs. 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 and maintain central team data pipelines, and automated forecasting models- Employ data mining, forecasting, A/B testing, model building, segmentation, and other analytical and statistical techniques to capture and forecast important trends in the customer base- Participate in strategic and tactical planning discussions- 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- 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- 10+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining ...

Do you enjoy transforming data into actionable insights and taking data-driven approach to solving complex business problems? The Pricing and Analytics group on Amazon Retail Operations and Initiatives team is looking for a talented Senior Business Intelligence Engineer to drive world-class analysis and guide strategic business decisions.At Amazon, you will be working in one of the world's largest and most complex data environments. The Senior Business Intelligence Engineer occupies a unique role at the intersection of business, technology, finance, statistics, data mining, and Supply-Chain science.To succeed in this role you should be passionate about working with large datasets and be someone who loves to bring data together to answer key business questions. You should have deep expertise in the creation and management of datasets and the proven ability to translate the data into meaningful insights. You should have a solid understanding of efficient and scalable data mining and an ability to use the data in financial and statistical modeling. In this role, you will have ownership of end-to-end development of reports and solutions to complex questions and you’ll play an integral role in strategic decision-making. Key job responsibilitiesGather data and perform sophisticated analytical exercisesEmploy data mining, segmentation, and other analytical techniques to capture important trends and create relevant measurement dashboardsDrive standardization, simplification and automation of internal processes and data productsManage weekly and monthly business reporting and create relevant measurement dashboardsWork with various stakeholders to understand business drivers, goals, and actionable outcomes using analyticsManage databases and work with technology teams to develop systems to support business intelligence needsA day in the lifeThe successful candidate will be comfortable with advanced SQL query design and data mining techniques, have strong analytical and communication skills, and have a passion for using data to drive business decisions. You attack complex business questions with data and curiosity, diving below the surface to identify the root cause. You develop strong working relationships with business partners (such as Amazon Pricing, Supply-Chain and Vendor Management teams) to define and understand key business questions and analyze data to answer those questions – driving strategic business decisions. BASIC QUALIFICATIONS- 8+ years work experience in data analysis, applied statistics or econometrics- Prior experience in design and execution of analytical projects, specifically with large data sets- Proven analytical and quantitative skills and an ability to use hard data and metrics to back up assumptions and develop business cases.- Experience partnering with business owners directly to understand requirements and develop to assist in finding patterns and anomalies in customer behavior- Strong verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams and develop clear, thoughtful, and comprehensive analyses of marketing programs- Strong knowledge of quantitative analytics and advanced analytical tools. Advanced SQL skills are required. ...

We are looking for a highly analytical Business Intelligence Engineer to join Amazon’s Global Accounting Business Intelligence and Analytics team. The Accounting BI team supports the global Accounting organization with process automation/improvements, developing automated reporting solutions/tools, and improving the ability of the accounting organization to process, analyze, access and consume accurate and timely financial data. The team supports the global accounting organization and partners closely with accountants and financial analysts supporting the various businesses and industries Amazon operates in. The ideal candidate thrives in a fast-paced environment, relishes working with ambiguity, big data, and enjoys the challenges of highly complex business context. This role requires an individual with excellent analytical abilities, deep knowledge of business intelligence solutions, and the ability to quickly learn, adapt and work with a variety of technologies. Key job responsibilities- Collaboration and partnership with Accounting and software development teams driving enterprise level projects- Contributing to the design, development, and maintenance of multiple scalable solutions supporting internal/external global stakeholders- Coordinating project prioritization with multiple stakeholders, managing and executing competing priorities from end to end within defined timelines- Supporting the global accounting organization with various ad-hoc reporting, analyses, and data processing needsBASIC QUALIFICATIONS- Bachelor's degree- 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) ...

Do you want to join one of the most exciting teams at the world's most customer-centric company? Then come soar with Amazon Global Air (AIR)! AIR is a worldwide, customer-obsessed transportation provider of choice that safely delivers low cost, high quality service. AIR realizes this vision through a talented, inclusive, and diverse team, leveraging innovative technologies and a sustainability-aware mindset.​ Our AIR Data, Analytics and Business Intelligence team's fuels AIR's success through data driven decisions. We empower AIR business with actionable insights, advanced analytics, and strategic foresight. By leveraging data as a strategic asset, we enable agility, uncover new opportunities, deliver trusted intelligence, and delight our customers.We are looking for an experienced, innovative, and strategic Business Intelligence Engineer (BIE) who will be comfortable diving into complex problems and using data to recommend business decisions. The ideal candidate will be a self-starter, highly analytical, and intensely detailed with a strong customer focus and perspective to drive strategy in a high-growth, fast-paced environment.This role will partner closely with the business teams to understand the data-needs of the team and ensure that the business teams are able to answer hard questions with real data. This individual will participate in business reviews and new-initiatives. They should be able to identify and help close gaps in the information available, as well as predict up-and-coming data needs when participating in discussions about new products or features.Key job responsibilitiesData Collection and Integration:- Gather data from various sources (databases, APIs, files, etc.)- Design and implement data integration processes- Ensure data quality and consistency across systemsData Modeling and Optimization:- Implement ETL (Extract, Transform, Load) processes- Write complex SQLs to convert raw data to meaningful metrics- Optimize SQLs for improved performanceReport and Dashboard Development:- Design and create reports and dashboards using BI tools (e.g., AWS QuickSight, Tableau, Power BI, Looker)- Develop interactive visualizations to present data effectively- Ensure reports are accurate & user-friendlyData Analysis:- Conduct exploratory data analysis to uncover insights- Develop and implement statistical models and algorithms- Perform ad-hoc analysis to answer business questionsCollaboration and Communication:- Work closely with stakeholders to understand business requirements- Translate business needs into technical specifications- Present findings and insights to both technical and non-technical audiencesData Governance and Security:- Ensure data security and compliance with regulationsContinuous Improvement:- Stay updated with the latest BI tools and technologies- Automate processes where possible to increase efficiencyDocumentation and Training:- Create and maintain documentation for data models, processes, and reports- Provide training and support to end-users on BI tools and dashboardsProblem-solving:- Troubleshoot data discrepancies and technical issues- Develop solutions to complex data-related problemsData Strategy:- Contribute to the organization's overall data strategy- Identify opportunities for leveraging data to drive business valueBASIC 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 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- Bachelor's degree in Computer Science or Engineering ...

Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization.How do you get items to customers quickly, cost-effectively, and—most importantly—safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers, and are excited for what’s to come. Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazon-prime-air-delivery-drone-reveal-photos).If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you.Come work on the Amazon Prime Air Team!Prime Air is seeking an analytical, results-oriented, self-motivated, and customer-focused Business Intelligence Engineer to play a key role in building critical data pipelines and analytics tools across Prime Air.The ideal candidate will have excellent statistical and analytical abilities, outstanding business acumen and judgment, intense curiosity and strong technical skills. They are a self-starter, comfortable with ambiguity, able to think big and be creative (while paying careful attention to detail), and enjoy working in a fast-paced dynamic environment. To be successful in this role, you should have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards and using visualization tools, while always applying analytical rigor to solve business problems.Export Control LicenseThis position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon’s ability to apply for and obtain an export control license on your behalf.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 ...