Business Intelligence

Amazon's Global Supply Chain (GSC) is looking for a Senior Manager, Business Intelligence for the Supply Chain Innovations (SCI) team. SCI plays an important role in defining and shaping Amazon's inbound supply chain's long-term strategy. The team is 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 design and optimization. Their solutions address the needs of the inbound network in order to meet the speed, cost, and resiliency demands of Amazon's customers.Key job responsibilitiesIn this role, you will lead and develop a team of BIEs to accomplish their respective business team's goals and charters. You will learn the ins and outs of all facets of Amazon supply chain operations and systems, and be a trusted partner to teams by sharing data-driven insights and actions based on deep understanding of the business. You will hire and develop talents to deliver strong results ranging from reporting, automated insight generation, advanced analytics, comprehensive inbound datasets, at standards that raise the bar for the rest of the organization.About the teamSupply Chain Innovations (SCI) identify, evaluate, and lead Inbound Supply Chain initiatives, and scale them to improve end to end cost, speed, and network resiliency. For initiatives with high impact and broad scope with no clear line of ownership, we provide leadership to develop, trial, and scale solutions to full network implementationBASIC QUALIFICATIONS- Knowledge of SQL and Excel- Experience hiring and leading a high-performance team- Experience managing analytics, data science or technology teams, with a product or insight focus- Experience with AWS data warehouse and reporting technologies like Redshift, Athena, S3, etc.- Experience working with finance organizations and financial data- Bachelor's Degree in computer science, data sciences, or related field ...

Do you love working with big data to derive new and actionable insights? Do you have passion for Entertainment? If so, come join IMDb! With over 250 million monthly users, IMDb is the world’s most trusted source for movies, TV, and celebrities. IMDb sits at the intersection of entertainment, media, and technology, inside the world’s most innovative and customer-centric company – Amazon.com. The data and insights our team provides, powers all IMDb properties and feeds directly into the Amazon flywheel. As IMDb employees, we enjoy the best of both worlds, all benefits and resources of Amazon with the autonomy and impact of a small, nimble team.IMDb is looking for an experienced and motivated Business Intelligence Engineer (BIE) to unlock key industry insights and trends. As an analytics leader on our team, you will work closely with Product Managers, Finance, Marketing Managers, Data Engineers, Data Scientists, and Software Development Engineers to solve unique and challenging problems. You will leverage your intellect, curiosity, and technical ability to develop innovative solutions to real-world problems. You will learn different aspects of the business and understand how to build and apply analytics tools to solve high-impact business problems. You will dive deep into existing and new data sources to create unique and actionable insights to best serve our diverse global population of entertainment fans, professionals, advertisers, contributors, and data licensees. Key job responsibilities• Partner with cross-functional teams to solve complex business problems and deliver integrated BI solutions that drive informed decision making• Create scalable and insightful data solutions (dashboards, models, extracts) to answer key business questions• Identify opportunities for improvement or automation of large-scale data analyses, statistics, and visualization solutions• Implement data quality processes to ensure accuracy, consistency, and reliability of BI systems• Build and manage weekly, monthly and quarterly business review metrics• Lead BI projects independently end-to-end• Share your insights and learnings broadly, through team demos, cross-team learning sessions, and senior leadership discussionsAbout the teamThe IMDb BI team consists of Business Intelligence Engineers, Data Engineers, and Data/Applied Scientists. We sit within the IMDb Foundation Tech Org and support the intelligence and science needs for all of IMDb. We work closely with stakeholders from across the company with dedicated areas of investment spanning global customer growth and engagement initiatives, programmatic and premium advertising performance, professional subscription services, and content coverage and quality analysis.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 is looking for a highly analytical Engineer to join the CA Supply Chain Team. The Canada Supply Chain team is responsible for the long-term capacity and network architecture planning, as well as the short-term supply chain execution between Amazon’s sellers/vendors, fulfillment centers and downstream partners. This role will support planning, execution, optimization and continuous improvement in the supply chain consisting of hybrid Fulfillment Centers and dedicated cross dock buildings in future. The ability to diagnose problems and to conceive-build-implement solutions will be key to success.As a Business Intelligence Engineer, you will generate insights that will guide operational excellence and strategy for our customers. analysis is at the core Amazon’s culture, and your work will have a direct impact on decision-making and strategy for our organization. You will be gathering operational insights, run statistical analysis, mining making recommendations, and helping senior leaders make key decisions. You will have the opportunity to work with large and diverse data sets to gather insights from across, using AWS Infrastructure.The ideal candidates will have excellent analytical and statistical abilities, acumen and judgment, intense curiosity, strong technical skills, and written and verbal communication skills. They will have a strong bias toward driven decision-making. They will be a self-starter, comfortable with ambiguity, able to think and be creative (while paying careful attention to detail). They will enjoy working in a fast-paced dynamic environment. If you are excited about it, are results oriented, and want to join a growing analytics team within Amazon, this role is for you.Are you up for the challenge?Key job responsibilities- Design, develop and maintain scaled, automated, user-friendly systems, statistical analysis and prediction, reports, dashboards, etc. that will support the needs of the .- Apply deep analytic and skills to extract meaningful insights and learning from large and complicated sets using the appropriate statistical forecasting model and Machine Learning models.- Be hands-on with ETL to build pipeline to support automated reporting.- Serve as liaison between the planning and technical teams to achieve the goal of providing actionable insights into current performance, ad hoc investigations to support future innovations and continuous improvements. This will require gathering and manipulation, problem solving, and communication of insights and recommendations.- Build various rich visualizations to tell the story of trends, patterns, and outliers.- Recognize and adopt best practices in reporting and analysis: integrity, test design, analysis, validation, and documentation.BASIC QUALIFICATIONS- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

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 ...

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 Inbound Transportation Business Intelligence is seeking a passionate candidate who can leverage data to deliver actionable insights that impact business decisions and improve the customer experience. Amazon's transportation operations encompass the delivery of shipments from fulfillment centers and third-party locations to customers worldwide. Given the company's focus on faster customer delivery, the successful candidate must be driven to identify and build solutions that will help optimize the transportation network and enhance the customer experience.This role offers the opportunity to influence and drive a growing business area. The Business Intelligence Engineer 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 will be accountable for identifying gaps and opportunities for improvement, keeping stakeholders and leadership informed of progress. The BIE will 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 BIE will build foundational data pipelines and data tables, analyze large data sets, prove and disprove hypotheses, automate solutions, and create self-service dashboards and reports. This person will consistently employ high judgment, make data-driven decisions, and lead by example, 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.- Provide inputs in team and org level strategic planning, lead org/team discussionsAbout 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.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- 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- Knowledge of SQL and data warehousing concepts- Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred) ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun. Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas. Amazon Robotics internship/co-op/full-time opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.Key job responsibilitiesAmazon Robotics Storage Technologies is looking for a Business Intelligence Engineer Co-op to analyze robotic systems, improve program dashboards, and to create data pipelines through AWS. A successful co-op candidate will use data and technology to seek improvements or find disruptions in current storage field operations. In addition, a successful team member seeks opportunities to deep dive issues & influence future decisions, automate and standardize tools & processes where needed. Candidates should have experience in business analytics, data science, data visualization, data engineering, and communicating analyses effectively. Amazon Robotics’ culture encourages innovation and expects co-ops to take a high level of ownership in all tasks.As a Business Intelligence Co-op you may:* Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs* Analyze historical data to gauge relative performance metric changes, highlighting causation. * Analyze data related to storage solutions to evaluate expected vs actual system performance and entitlement* Work with partner teams to onboard data from other Amazon data providers* Write queries to pull data and act as a thought partner through the design phase of CI & NPI solutions* Evaluate and observe data practices in your own work and throughout the team, always insisting on the highest standards* Recognize and implement best practices and automation opportunities for reporting and analysisAbout the teamThe Robotic Storage Technology BI, Analytics and Data Science team (RST-BAND) is comprised of data scientists and Business Intelligence Engineers who support data exploration and analysis to support Amazon Robotics (AR) fulfillment buildings and new product development. We conduct relevant, insightful analysis and communicate the results through white papers, dashboards, and presentations. Our methods include design of experiments, statistical modeling, financial analysis, data pipelining, exploratory data analysis, metric generation, and data visualization.BASIC QUALIFICATIONS- Currently enrolled in Bachelor's, Master’s degree or higher in the US in an analytically rigorous field (Mathematics, Data Science, Statistics, Computer Science, Industrial Engineering, Econometrics) or other equivalent discipline- Must be eligible and available for a full-time (40h / week) 5-6-month in-person internship in spring 2025- Experience building dashboards in Tableau or other relevant data visualization tool (Looker, PowerBI, Grafana, etc.)- Write high-quality and optimized SQL queries to retrieve datasets- Basic understanding of Python for exploratory data analysis and modeling- Ability to communicate analytic results effectively across stakeholder groups ...

Do you want to help drive growth and engagement with one of Amazon’s most important businesses? Do you enjoy using data and analytics to deliver actionable insights that support critical business decisions?Amazon seeks an experienced business analyst to be a key member of the Lead Central Program and Operations (LCPO) Team. This is an exciting opportunity to support and influence global lead generation strategy, tech, and operations.As a Business Analyst, you will partner with Tech, Program, Operations, Sales, Marketing, Finance, and analytical professionals to provide data and insights that influence and support critical business decisions. The successful candidate will have shown experience in past roles influencing business owners and supporting decision making in rapidly evolving environments. This role requires a self-starter with strong modeling skills, a keen attention to detail, and an ability to manage multiple projects across several stakeholders effectively. This role also has regular interaction with various businesses and requires strong interpersonal and communication skills.Key job responsibilities* Serve as the key business performance partner working directly with Tech, Product, Sales, Program, and Operations across US teams* Develop, launch, and optimize business performance mechanisms* Deliver data, analysis, insights, and recommendations to help shape product development and rollout strategies* Lead business performance analysis and reporting, including preparation of weekly, monthly, and quarterly business reviews* Partner with Business, Sales , Marketing, and Finance leaders to provide data-driven insights and recommendations that influence business decisionsA day in the life* Working closely with product, tech, and operations leaders on analytical projects* Writing SQL queries and creating business intelligence reports.* Owning deep dives to answer business critical questions* Defining requirements and using data and metrics to draw business insights* Excel* SQL/PL SQL* QuickSight* ETLAbout the teamLead Central is a piece of technology used to generate leads at scale across Amazon. The LCPO team is the Program and Operations element of Lead Central. LCPO productinoalizes Lead Central, and in doing so generates learnings and feature recommendations that shape the future product roadmap of Lead Central. LCPO sits at the intersection Product, Tech, Sales, Operations, Marketing, and Program and therefore gets broad exposure to these business segments which keeps things interesting and provides ample growth opportunities for all on the team.BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- Bachelor's degree or equivalent- Experience defining requirements and using data and metrics to draw business insights- Experience with Excel- Experience with SQL- Experience making business recommendations and influencing stakeholders ...

Amazon seeks an experienced Business Intelligence Engineer (BIE) to join the Application Security Data Operations and Engineering Team. Our mission is to prevent software weaknesses from making it into production. We interact with Amazon businesses, including AWS, customers, vendors, sellers, subsidiaries etc. We build automatic mechanisms to detect and prevent prohibit software vulnerabilities and weaknesses from being released to customers. Our global organization uses a diverse set of algorithms and machine learning techniques. We screen over half a billion events every day, integrate with Tier 1 systems and deal with unique scaling challenges. We are still Day 1 and have an exciting road map to build Machine Learning (ML) and Analytics powered detection and resolution systems to help scale Amazon for years to come.In this role you'll own everything from ad-hoc reporting to long term analytical and statistical projects that will affect the effectiveness of the Application Security team and complementary programs. You'll work with multiple Amazon Businesses and Functions, work with multiple data sources and a wide range of data technologies (e.g. Redshift, S3, Tableau, Quicksight etc.), stay abreast of emerging technologies, investigate and implement where appropriate.Key job responsibilities• Interface with business customers to gather requirements, drive reporting or analytic projects to help solve complex challenges.• Design, implement, and support datasets that provide structured data for reporting and analysis.• Develop reports and dashboards across various business teams to drive adoption and increase visibility into key measures of business performance.• Analyze billions of rows of data to find the root causes behind variances and drive business insights.• Investigate and implement new big data technologies to provide automatic resolutions to address business needs.A day in the lifeThe successful candidate will demonstrate good business acumen, experience in developing reports and conducting analysis, strong technical skills and communication skills, an ability to work effectively cross functional teams, and an ability to work in an ever-changing environment.About the teamDiverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why Amazon Security?At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Inclusive Team CultureIn Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.BASIC QUALIFICATIONS- 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 ...

We are looking for an experienced and eager data and insights professional with a proven track record of delivering impactful solutions to complex and ambiguous problems. A practiced researcher, who uses data engineering, statistics, systems knowledge, and data visualization to guide choice selections for cross-functional stakeholder teams. We are seeking a partnership - focused person who can think holistically through complex problems to grasp how systems work together to identify improvements to robotic architecture or design.Key job responsibilitiesIn this role, you will guide Amazon's newest robotic technologies through their Alpha, Beta, and General Availability phases of new product and solution development. You will search out new data sources, develop new metrics, create dashboards, write recommendation-focused whitepapers, and develop a deep comprehension of robotic systems to inform findings and assist operations customers. A day in the lifeYou will partner cross-functionally with engineering teams and program managers, and 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 option and data evaluation white-papers and automated data visualizations to influence the development and deployment of new robotic technology. You will partner with Data Scientists, Data Engineers, and Program Managers to define and deliver world class evaluation 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. 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 guide choice selection for engineering and operations customer teams. We partner with designers, software and hardware engineers, and operations teams to grasp system performance, make feature and design trade-offs, and inform choices on new applications of Amazon Robotics technology. We conduct relevant, insightful inspections and communicate the results through white papers and data visualizations. Our methods include design of experiments, statistical modeling, machine learning, financial examination, and data visualization.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 ...

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 ...

Amazon is seeking a business intelligence engineer for a high visibility role supporting Prime Video Advertising. This role sits within the finance & strategy org, and provides opportunities for impactful contributions to the Prime Video business. Business intelligence engineers partner with finance, strategy, and other stakeholders to solve complex problems, including, reporting & tooling automation, business analysis, and strategic planning. This role will oversee reporting and analysis of Prime Video FreeVee, and other ads related products. - Partner with Finance and Strategy managers to design reports and analyses which answer important business questions. - Build impactful, scalable data pipelines and automated reporting products. - Produce meaningful, timely, and actionable analyses to inform sports business decisions.- Design and implement metrics to measure effectiveness of new products. - Work with data engineers, economists, and product managers to optimize PV reporting and analysis infrastructure and operations. 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 ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun.Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.Amazon Robotics co-op opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.Must be eligible and available for a full-time (40h / week) 6-month co-op between January to June 2025 or July to December 2025 Travel amount is less than 10% a year.Key job responsibilities- Converting data into digestible business intelligence and actionable information- Design and develop highly available dashboards, perform business analysis and data queries using SQL, Python and other BI Tools- Working with large data sets, automate data extraction, and build monitoring/reporting dashboard- Story telling with Data and Visuals- Interacting with internal stakeholders to deep-dive outlier events- Analyze and solve business problems with focus on understanding root causes and driving forward-looking opportunities- Communicating complex analysis and insights to our stakeholders and business leaders, both verbally and in writing.- Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable formatBASIC QUALIFICATIONS- Knowledge of Tableau or Power Query- Knowledge of SQL- Work 40 hours a week throughout the course of a 10 weeks to a 6 months summer internship- Experience in Excel (macros, index, conditional list, arrays, pivots, lookups)- Are 18 years of age or older ...

Amazon Fulfillment Technologies (AFT) is seeking an experienced Business Intelligence Engineer who is passionate about leveraging data to deliver actionable insight to improve senior level business decision making. Amazon Fulfillment Technologies (AFT) powers the physical engine at the heart of Amazon. AFT builds and operates software, hardware, and processes that run the global network of fulfillment centers that move many billions of units of inventory, employ tens of thousands of people, and ensure that customers get what they want when we promised we would get it to them. We do this by building automated solutions to handle things that technology does well, while relying on people to handle things that humans do well. Our team collaborates with machine learning scientists, product managers, engineers, Suppliers, fulfillment associates, and with a variety of customers across Amazon worldwide. Key job responsibilities• Design, develop and maintain scaled, automated, user-friendly systems, reports, and dashboards enabling stakeholders to manage the business and make effective decisions.• Work with PMs and Business stakeholders in understanding the business requirements and implementing solutions to support analytics and reports.• Conduct ad hoc data analysis and data quality investigations.• Implement training and documentation solutions that enables 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.• Defining, developing and maintaining critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis• Analysis of historical data to extract meaningful insights and learnings from large and complicated data sets identify trends and support decision making, including written and verbal presentation of results and recommendations• Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of machine learning models• Understanding of Amazon’s data resources, which to use, how, and whenA day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!About the teamAmazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.InboundAFT’s Inbound team delivers innovative solutions to automatically receive and process billions of units of inventory from Amazon’s vendors and third-party sellers worldwide, making the merchandise quickly available to Amazon customers.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 ...

The Supply Chain Optimization Technologies (SCOT) organization owns Amazon’s global inventory management systems: we decide what, when, where, and how much we should buy to meet Amazon’s business goals and to make our customers happy. We do this for millions of items, for hundreds of product lines worth billions of dollars of inventory world-wide. Our systems are built entirely in-house, and are automated large-scale business operations, inventory and supply chain planning and optimization systems. We foster new game-changing ideas, creating ever more intelligent and self-learning systems to maximize the efficiency of Amazon's inventory investment and placement decisions. The Automated Inventory Management team within SCOT seeks an experienced and motivated Business Intelligence Engineer to develop analytical models and tools to automate the auditing of the SCOT systems. Such tools may include algorithms, metric bridges, dashboards, processes and workflow systems. The successful candidate will have strong quantitative data mining and modeling skills and be comfortable working on new and sometimes ambiguous problems from concept through to execution. They will have strong communication and leadership skills, will be able to collaborate with other teams (e.g. software development, business owners, product managers) and to present findings to senior audiences to drive business improvements. As well we expect this candidate to raise the bar on any of the following categories: Data Warehousing, Data Architecture, Performant Self Service Toolsets and Data analytics. Candidate might be willing to work with the others BIEs in order to solve organizational problems at scale and setting the grounds of a healthy data products offer while delivering what is required by business. Key job responsibilities- Performing complex analysis to understand the behavior of automated inventory management systems, identify the root cause of system / process issues and provide insight on potential solutions. - Building audits (analytical products) to identify trend breaks or defects at scale for millions of products and multiple Marketplaces globally - Assessing the end-to-end suite of audits and identifying opportunities for enhancements and simplification, working with other audit owners - Creating new solutions to automate the business process of identifying and resolving defects (e.g. through metric dashboards and automated alarms, self service dashboard, Single source of truth tables) - Supporting the improvement of the automated audit workflow system: integrating new audits and providing input on the future developments/roadmap - Developing dashboards and insight products - Fostering culture of continuous engineering improvement through blueprints, mentoring, feedback, and metricsBASIC QUALIFICATIONS- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.- 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 in the data/BI space ...

Prime Video offers customers a vast collection of movies, series, and sports—all available to watch on hundreds of compatible devices. U.S. Prime members can also subscribe to 100+ channels including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required. Prime Video is just one of the savings, convenience, and entertainment benefits included in a Prime membership. More than 200 million Prime members in 25 countries around the world enjoy access to Amazon’s enormous selection, exceptional value, and fast delivery.Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented and bright people. We are looking for a highly analytical Business Intelligence Engineer to join our Prime Video team.As a Business Intelligence Engineer, you will partner with cross-functional stakeholders to gather, translate, and report customer insights which will have a direct impact on decision making and strategy for Prime Video Product and Tech teams. You will support the production of key business reporting to our stakeholders, build scalable data solutions to complex problems and perform ad-hoc deep dives. In doing so, you will have the opportunity to work with the one of the largest and most complex data warehouses in the world and collaborate with multiple Tech, Science, Product, and Marketing teams across the globe.This position requires high judgment, excellent analytical abilities, a creative mind to invent solutions to improve our interaction with the customer; it also offers broad exposure to various business, product, and technical teams across Amazon. You should thrive and succeed in an entrepreneurial and ambiguous environment. If you are passionate about video entertainment, detail-oriented, organized, and systematically break down problems with ease, we would love to speak with you!Key job responsibilities- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, to drive key business decisions- Apply advanced analytics, statistics and Machine Learning to derive impactful insights into customer behavior- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation- Build strong relationships with upstream engineering teams to enhance upstream data sources and develop data processes that enable more scalable and accurate reporting- Support Product and Business teams as required on ad-hoc and longer term analysis requestsA day in the lifeYour day may begin with gathering business requirements from product team to support decision making and product development, utilizing complex SQL queries to analyze data from millions of Prime Video customers. This involves building data pipelines, transforming raw data into insightful visualizations and dashboards, identifying key trends and anomalies. You also apply analytics to dive deep on A/B testing results, offering strategic insights to the product team. Collaboration with the tech and science teams, in which you provide data-driven recommendations for tech design, Machine Learning model development and evaluation.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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with data visualization using Tableau, Quicksight, or similar tools ...

Join a team of cloud experts focused on uncovering and articulating advantages for AWS Customers!As a Cloud Intelligence Field BDM, you will be a strategic partner to the AWS field sales team. You will help customers understand why AWS is the best cloud partner for their business. You will coach sales teams on how to amplify AWS strengths and create differentiation strategies. As a strategic partner to sales and external customers, you will identify emerging signals and best practices, to serve the broader organization. This position blends business and technology skillsets. Cloud Intelligence Field BDMs drive complex engagements and interact with executive audiences. They also have technical competence that enables them to analyze AWS and other cloud providers. Candidates must have the capability to craft and convey compelling value propositions, and to communicate concepts and stories effectively.Key job responsibilities• Develop scalable competitive strategies to enable winning key strategic deals.• Support, coach, and develop large deal closing capability.• Be the go-to resource for an AWS field sales segment and sales leadership for AWS differentiation.• Leverage excellent communication skills to articulate the business value of AWS value propositions, working backwards from our customers strategic objectives.• Demonstrate the ability to earn trust with and influence C-level executives in customer organizations and within AWS.• Lead strategic, in-person workshops (this position will require travel).• Develop and share cloud adoption trends and blockers across the cloud ecosystem.• Enable and upskill field teams through development of field-friendly content, and delivery of trainings.• Track signals and identify opportunities, in order to provide Cloud Intelligence with insight to improve offerings.• Influence internal stakeholders on market realities, with the objective to further differentiate AWS’s value.About the teamThe AWS Cloud Intelligence team is a specialty services organization that provides cloud compete expertise globally. We are subject matter experts (SMEs) covering top and emerging competitors, key domains, and industry segments. Cloud Intelligence enables field teams to help their customers quickly by removing both business and technical blockers in the sales cycle. We advise account teams and their customers through at scale content, gather and analyze insights surrounding comparable cloud providers, and highlight product and position gaps that our customers are experiencing to continuously improve AWS’ overall value proposition. In addition to on-demand self-service resources, the CI team provides targeted support for specific competitive opportunities through one-to-one customer engagements. This team hires SAs and BDMs who are SMEs in one or more public clouds to advise AWS field teams on the best strategies to develop compelling business cases to support customers co-existing and partnering with competing public cloud services.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.Mentorship & 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.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.Diverse Experiences: AWS 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.BASIC QUALIFICATIONS- 10+ years of developing, negotiating and executing business agreements experience- 8+ years of domain Industry experience in FSI ...

Do you want a unique, exciting opportunity to help build something from the ground up? We are looking for builders who thrive in ambiguity to join the BI team of a tech organization under Workforce Planning. The ideal candidate will have a passion for automation and clean, streamlined process design. The applicant will draw upon advanced analytical, critical thinking, problem solving skills, software development experience, and an aptitude for creating maintainable, highly reliable, distributed systems which operate 24/7/365. You will work with analytic tools, write excellent scripts, partner with customers to answer key business questions, and act as an advocate for your customers. Successful members of this team collaborate effectively with internal end-users, cross-functional software development teams, and technical support/sustaining engineering teams to solve problems, implement new solutions, and deliver successfully against high operational standards of system availability and reliability. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun.The complexity of research and skills for a Business Intelligence Engineer is well beyond basic data entry and extraction. It involves design and development of automated data pipelines, sophisticated analytical and intuitive data . In addition, this role is on a large analytical team that supports a wide range of businesses. This role has great exposure to a broad scope that can really help shape the future of operational fulfillment and promotes career progression.About the teamThe Strategies Labor BI team elevates the labor planning experience by producing insights and data for our customers. We do this by: 1) Generating actionable insights to inform product roadmaps, drive strategic decisions for our CXO customers2) Enabling stakeholders through automated reporting, self-service dashboards, and/or company-wide tools/metrics; 3) Improving our data architecture and processes to reduce time spent on KTLO and Operations; 4) Supporting general business needs (e.g., xBRs, escalations, ad hoc requests) and operations. 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 ...

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

Amazon seeks a Business Intelligence Engineer with strong technical, analytical, and business intelligence skill sets and experience to be a key partner for Amazon’s Advertising business focusing on amazon.com across all ad programs. This role will be the key contributor supporting the APM (Advertising Publisher Monetization) Stores business. The person will build out the business insights, analysis practice, and data infrastructure for APM Stores stakeholders, gaining visibility across Ads, Retail, and Finance organizations. We generate insights to guide product and partner strategy, and we provide direct business strategy support to senior leaders. We are motivated to improve overall Stores experience for both our advertisers and shoppers through Ads. As a key analytics partner, the Business Intelligence Engineer will influence the direction of the business by leveraging our data to deliver insights that drive decisions and actions. This role involves 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. This role requires an individual with excellent business, communication, and technical skills, enabling collaboration with various functions, including Product Managers, Data Engineers, Finance Managers, Software Engineers, Data Scientists, as well as senior leadership. The successful candidate will be a self-starter comfortable with ambiguity and complex datasets and business problems. The person has strong ownership and an ability to work in a fast-paced, ever-changing, and high-energy environment.Key job responsibilities- Explore and deep dive into new areas across various ad programs as well as business functions to support business decision making- Design, develop, build, and maintain scalable data solutions, including infrastructure, pipeline, reporting, to support long-term business strategies- Simplify and re-invent current data solutions to support the business scope expansion- Translate business problems into data questions, find solutions to solve those questions with resourcefulness- Present analytical findings and recommendations to business leadership- Work cross-functionally with other teams in various job families to gather data sources to provide a comprehensive view of the business, inclusive of supply, demand, sales, operations, shopper, etc. - Recognize and adopt best practices in reporting/analysis: data integrity, test design, analysis, validation, and documentationThis role promises to give exposure to a high growth business. This BIE will be actively involved in building new metrics, understanding impact of product changes, and identifying opportunities for growth through exploratory analyses including use of lightweight statistical techniques. This role provides the opportunity to explore emerging technologies such as machine learning to build models and tools used by management for strategic decision making.About the teamThe APM Advertising Finance team supports various publishers, including Stores, Amazon Business, Books, Grocery/Physical Store, Devices, Video, Audio. Our focus is to accelerate top-line revenue and improve profitability by evaluating overall ad supply monetization and utilization, product feature or sales package adoption, campaign performance, and other various product drivers of growth. 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 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 in Statistical Analysis packages such as R, SAS and Matlab- Experience with data visualization using Tableau, Quicksight, or similar tools- Knowledge of SQL and data warehousing concepts ...