Business Intelligence

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

The Amazon Devices organization designs, produces and markets Kindle e-readers, Fire Tablets, Fire TV Streaming Media Players and Echo Speakers, and is constantly looking to innovate on behalf of customers with new devices in existing or new categories or improving the customer experience on existing platforms. The Devices Analytics team provides customer engagement support to the broader organization for Kindle, Fire, and Echo products – established and emerging countries, worldwide. We are looking for an innovative, hands-on and customer-obsessed Data Engineer who can be a strategic partner to the product managers and engineers on the team. Our projects span multiple organizations and require coordination of experimentation, economic and causal analysis, forecasting, and predictive machine learning tools. You will act as the business-facing subject matter expert for data storage, feature instrumentation, and data privacy, with the responsibility of managing end-to-end execution and delivery across projects. In this role, you will be a technical expert with massive impact. You work tightly with the research scientist and business intelligence engineers on our team to create the data infrastructure and pipelines to drive our machine learning projects from initial experimentation to production level deployment. Your work will directly impact the success of Amazon's growing Devices business. You will work across diverse science/engineering/business teams. You will work on critical data engineering problems, building unique high quality reliable, accurate, consistent, and architecturally sound data sets that are aligned with our business needs.Key Performance Areas - Design, implement and support an analytical data infrastructure - Managing AWS resources including EC2, EMR, S3, Glue, Redshift, etc. - Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies - Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency - Collaborate with Data Scientists and Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation - Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customersBASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL ...

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

Amazon Robotics develops state-of-the art robotics for Amazon’s Fulfillment Centers, which handle more individual items than any company in the world. We are combining computer vision, mobile robots, advanced end-of-arm tooling and high-degree of freedom movement to solve real-world problems at huge scale. Our team works with a variety of customers across Amazon worldwide to conceive, develop, prototype and deploy a wide range of robotic systems. Within Amazon Robotics, Global Operations - Artificial Intelligence (GO-AI) enables Amazon to accelerate and scale our machine learning transformation via human-in-the-loop support. GO-AI’s Technology & Development Team is a cross-functional team of Data Engineers, Software Developers, Technical Program Managers, and Business Intelligence Engineers who are responsible for the technical strategy and delivery for GO-AI. Key job responsibilities• Design, implement, and deploy GO-AI data solutions that are high quality (e.g., secure, testable, maintainable, low-defects, efficient, well documented etc.) and incorporate best practices. • Focus on operational excellence, constructively identifying problems and proposing solutions, taking on projects that improve GO-AI’s data architecture, making it better and easier to maintain. A day in the lifeAmazon offers a full range of benefits for you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience coding in Python- Have a solid understanding of data design approaches and how to best use them- Bachelor's degree in engineering, computer science or relevant field ...

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

The Intelligent Talent Acquisition (ITA) organization develops data solutions for all aspects of hiring across Amazon. Joining ITA is your opportunity to make an impact across multiple layers of the company and the workforce. Amazon’s mission is to be the most customer centric company in the world and ITA supports our Talent Acquisition (TA) organization of the mission by hiring hundreds of thousands of hourly associates and corporate employees across multiple types of roles and businesses. The Global Risk Intelligence team (GRI) provides the data, science, and tools to support hiring over 1MM hourly associates every year, ensuring Amazon is able to meet it’s delivery speed goals, as well as helping choose new locations for Amazon logistics buildings. We are looking for an experienced Business Intelligence Manager to work with our engineers and leadership team. The ideal candidate will have a natural curiosity about solving problems, identifying the right metrics to inspect the business, and to help leaders make great data driven decisions. You will work with a highly collaborative team, and have direct influence over analytical roadmaps, establishment of key performance metrics, dashboards and report development. You’ll be responsible for working with senior leadership to provide analytics to build predictive modeling and insights into Workforce Staffing's Site Selection and Fill Risk Management use cases. Successful attributes include: effective communicator and leader of various levels and audiences, the capacity to remain flexible and adept at learning new tools, and the facility to implement new systems within a team atmosphere.Our environment is deadline driven and fast paced and therefore requires detail-oriented individuals comfortable interacting or working with multiple teams (business and technical). As you further your career as a Business Intelligence Manager, you will focus on improving corporate reporting frameworks and data visualization. You will build capacity solutions for the growing managed businesses. You will solve real world problems and build metrics and business cases to improve decision making. Key job responsibilities* Centralize reporting and synthesize insights to deliver predictive insights and recommendations for optimization.* Build solutions and drive strategies for organizational wide operational excellence and operational programs to evolve day to day reporting mechanisms* Work with teams from across Amazon to improve data quality within their respective products and platforms* Work with software developers / data engineers to improve data quality and drive operational excellence for data ingestion, transformation and publication to ensure confidence in the systems we build.* Champion and actively develop a data-centric approach, acting as coach, mentor, champion and in-house expert within the WFI team* Be a “do-er” as well as a leader* Be a data and analytics expert that your team can turn to for assistance. Be able to produce individual analytics and guide individual contributors across the team.BASIC QUALIFICATIONS- 7+ years of business intelligence and analytics experience- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience- 5+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience- Experience with ETL- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software- 3+ years of quantitative and qualitative data science/business intelligence with significant business impact experience ...

Prime Video is an industry leading, high-growth business and a critical driver of Amazon Prime subscriptions, which contribute to customer loyalty and lifetime value. Prime Video is a digital video streaming and download service that offers Amazon customers the ability to rent, purchase or subscribe to a huge catalog of content. As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments. You will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You will be exposed to cutting edge AWS big data technologies. You will also have the opportunity to create white papers and build POCs. In this role, you will have the opportunity to build complex, high-performing, and scalable data products. In this role you will help scientists collect the latest worldwide video data, customer segments, and diverse signals of marketing impressions to support scaled forecasting tools. You will be working with a diverse group of economists and machine-learning researchers on business critical projects. Key job responsibilitiesInterface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL/python and AWS big data technologies such as EMR, Redshift.Explore and learn the latest AWS technologies to provide new capabilities and increase efficiencies.Designing and implementing complex ETL pipelines by processing petabytes of data that empowers scientists in team to build large scale Machine Learning models.Work closely with Product Managers, Applied Scientists, and Economists in team to explore new data sources and build pipelines for same that expands existing ML models.Design and build Data products such as data-quality, anomaly detection and data governance.A day in the lifeThe mission of the Video Content Research team is to provide analytics and science to support customer-driven content decisions. We are product focused, so we build reliable, scalable, worldwide tools. We measure the long-run economic value of Prime Video, and we help define the strategies and support decisions to maximize this value. Our team values close collaboration, and we strive to constantly learning new machine-learning and cloud-computing technologies.About the teamOur team predicts how many customers will watch any new show that Amazon Studios is considering creating. We build complex data products to provide insights into customer segments worldwide and support scaled forecasting tools. We measure and forecasts the performance of our marketing campaigns, and how many new customers will our advertising spend drive. We collect diverse signals of marketing impressions and publish model outputs for driving key business decisions. We analyze key metrics that attract new Prime members. We build tools that measure the long-run value driven by customer engagement with our content.BASIC QUALIFICATIONS- 4+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets ...

ARCADE team (Analytics team support MCF and BwP business) is seeking a highly motivated Data Engineer to solve innovative problems via business process and technology innovations. We are looking for an experienced Data Engineer to tackle complex and ambiguous problems that span numerous systems and organizations. As a Data Engineer, you will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis and machine learning models. You will be exposed to cutting edge AWS big data technologies. You should have excellent business and communication skills to be able to work with business owners and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and datasets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate.Key job responsibilities• Design, implement, and support data warehouse/ data lake infrastructure using AWS bigdata stack, Python, Redshift, QuickSight, Glue/lake formation, EMR/Spark, Athena etc.• Develop and manage ETLs to source data from various Santos domain and SDO teams & operational systems and create unified data model for analytics and reporting.• Creation and support of real-time data pipelines built on AWS technologies including EMR, Glue, Redshift/Spectrum and Athena.• Collaborate with other Engineering teams, Product/Finance Managers/Analysts to implement advanced analytics algorithms that exploit our rich datasets for ML model development, statistical analysis, prediction, etc.• Continual research of the latest big data and visualization technologies to provide new capabilities and increase efficiency.• Build scalable and secure data infrastructure that will be used by BIEs to develop dashboards those are used by senior leadership.• Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed.• Working closely with team members to drive real-time model implementations for monitoring and alerting of risk systems.• Manage numerous requests concurrently and strategically, prioritizing when necessary• Partner/collaborate across teams/roles to deliver results.• Mentor other engineers, influence positively team culture, and help grow the teamBASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

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 ...

The NCRC (Net Cost of Refunds and Concessions) team within Returns & Re-commerce focuses on ways we can preserve and create customer value while increasing the velocity of Amazon's cost flywheel. We are constantly innovating to create long-term value at Amazon by investing in the future and focusing on the planet, not just on the bottom line. WW R&R includes business, product, program, operational, and software engineering teams, who together manage the lifecycle of returned and damaged products.As a Senior Business Intelligence Engineer (Sr. BIE) on the NCRC team within Amazon Returns and Re-commerce, you will be a part of the Science and Analytics team collaborating with a group of Analysts, Economists, PMs and other Engineers. You will have an opportunity to participate and innovate across the engineering landscape, starting from ingestion, storage, processing and reporting. You will build complex data solutions that integrate with cross-organizational systems, enabling our team to scale and build self-serve BI tools. You will partner closely with analysts and economists in the pursuit of investigative data. You will participate in business reviews and new-initiatives. You should be able to identify and help close gaps in the information available, as well as predict up-and-coming -needs when participating in discussions about new products or features.A successful Sr. BIE will be highly collaborative and organized, capable of prioritizing multiple deliverables and effectively communicate progress and blockers. You should feel comfortable working across multiple systems and AWS technologies, and be capable of participating in and understanding how multiple systems communicate information to one-another.We are a new team at Amazon and this is a great opportunity to be on the leading edge. Come join us and innovate with the Amazon NCRC team!Key job responsibilities-Owning the design, development and maintenance of scalable data solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs.- Recognize and adopt best practices in reporting and analysis: data integrity, design, analysis, validation, and documentation.- Use analytical and statistical rigor to answer business questions and drive business decisions.- Find and create ways to measure the customer experience to drive business outcomes.- Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.- Write queries and output efficiently, and have in-depth knowledge of the data available in area of expertise. Pull the data needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert data to make it analysis-ready.- Troubleshoot operational data-quality issues.- Review and audit existing ETL jobs and queries.- Recommending improvements to back-end data sources for increased accuracy and simplicity.BASIC QUALIFICATIONS- 10+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining ...

Have you ever ordered a product on Amazon and, when that box with the smile arrived, wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon? If so, the Amazon Supply Chain Optimization Technology (SCOT) organization is for you. SCOT offers a unique opportunity to create and see the direct impact of your work on billions of dollars’ worth of inventory, within one of the world’s most advanced supply chains, at a massive scale.Watch this video to learn more about our organization, SCOT: http://bit.ly/amazon-scotAt the center of SCOT is our lab team. We own large-scale, in-production A/B testing systems to drive innovation in production systems. Inventory planning involves many algorithms to buy inventory in the right quantities, at the right frequencies, from the right vendors, and assign it to the best warehouses to fulfill customer demand, optimizing long-term free cash flow for Amazon. Our experimentation platform is critical in driving continued optimizations to the many algorithms behind Amazon’s worldwide supply chain. We are hiring and are especially looking for Business Intelligence Engineers (BIE).Finally, here are some more reasons you might find this opportunity exciting:Being part of a team that is at the heart of the most sophisticated supply chain and decision-making system on the planet.Working at the intersection of analytics, science, and engineering to impact the Amazon user experience (by helping supply chain teams run experiments that allow for speed and same-day availability, for example), saving hundreds of millions of dollars using cutting-edge science and technology along the way.Being part of a team that values creativity and welcomes outside-the-box thinking (thinking big!).Being part of a team with a high emphasis on a positive work culture of collaboration.Being part of a fast-growing team with many growth opportunities.Key job responsibilitiesAs a Business Intelligence Engineer in SCOT Lab, you will solve real-world problems by analyzing large amounts of business data, defining new metrics and business cases, designing experiments, creating models, and collaborating with teammates in business, software, and research. The successful candidate will have a strong analytical background and can thrive in an environment that leverages statistics, machine learning, operations research, and business analysis. As a BIE in the SCOT Lab team, you will work closely with some of the brightest software engineers, scientists, economists, and product managers to solve highly complex supply chain challenges.BASIC QUALIFICATIONS- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with 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- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field ...

Data Engineer Come build the future as a Data Engineer at Amazon, where you will be inspired working along best-in-class inventors and innovators! You will have the opportunity to create meaningful experiences that deliver on the ever-evolving needs of our customers, and your work will impact millions of people around the world. As an Amazon Data Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you’ll be creating for our customers.Apply now and you will be eligible for Amazon Data Engineer positions that are based on your preferred location, team, and more. We’re hiring across Amazon Stores in the United States and Canada. Teams with available positions include, but are not limited to:• Consumer Technology: Build new generation features and products for amazon.com, constantly improving the Customer and Seller experience for billions around the globe. Whether building site wide features such as reviews and recommendations, category specific software for the likes of Pharmacy, Electronics, Digital Software and Video Games or seller infrastructure, there are a variety of complex problems to tackle using a range of technologies in the design of your technical solutions. • Operations Technology: Shape the future of transportation planning and execution on a global scale, that impacts hundreds of fulfillment centers, thousands of Amazonians, and millions of customers across the world. Your technology will support thousands of operators worldwide to design, build and run the best-in-class Amazon transportation network. We are building intelligent software to make transportation more reliable, faster, and less costly, providing a better and less expensive experience for our customers.• Human Resources Technology: Create a seamless experience for millions of Amazonians and/or candidates. Whether supporting technologies for onboarding, time and attendance, compensation, amazon.jobs, or recruiting, you’ll deliver robust feature sets, elegant designs, intuitive user interfaces and systems that make it easy for Amazonians to excel at performing critical business functions.About Us: Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance be-tween your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a better-rounded contributor.Inclusive Team CultureHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Key job responsibilities• Design, implement, and support a platform providing secured access to large datasets.• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.• Tune application and query performance using profiling tools and SQL.• Analyze and solve problems at their root, stepping back to understand the broader context.• Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.• Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS.• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets.• Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with SQL- Experience with data modeling, warehousing and building ETL pipelines ...

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

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. We are looking for a Business Intelligence Engineer to build models and algorithms for procurement, selection, marketing and pricing tools in grocery management. 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 excellent statistical and analytical abilities, 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 space.Key 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. - Use machine learning, data mining and statistical techniques to create new, scalable solutions for business problems.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

The Amazon Vendor Services (AVS) 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. Our team is responsible for building robust processes, identifying opportunities for improvement, and partnering with dependent teams to improve tools and systems for internal and external customers. As a BIE, you will develop, standardize, and report on data which drives efficiency and scalability for the AVS Program. You will work closely with business intelligence, data engineering, operations, marketing, and other Retail partners to improve the Selling Partner experience. You will develop and implement ideas that drive continuous improvement by simplifying processes and driving automation. This position provides opportunities to influence one of the high visibility and high impact areas in the organization. The ideal candidate is highly analytical, resourceful, customer-focused and team oriented, with clear communication skills and the ability to build effective relationships with key stakeholders. You are also have a history of delivering results in a fast-paced and dynamic business environment. Key job responsibilities- You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tools/languages like SQL, Excel, and others, to translate data into meaningful insights through collaboration with scientists, software engineers, data engineers and business analysts. - Use analytical and statistical rigor to solve complex problems and drive business decisions- Mine data from database tables (ex. Redshift, MySQL, Oracle) using SQL and log files by writing scripts (ex. PERL, Python, UNIX)- Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership- Produce written recommendations and insights that will help shape effective metric development and reporting for key stakeholders- Simplify and automate reporting, audits and other data-driven activities- Partner with Engineering teams to enhance data infrastructure, data availability, and broad access to customer insights- To develop and drive best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation- Learn new technology and techniques to meaningfully support product and process innovationBASIC QUALIFICATIONS- 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 ...

Global Talent Management and Compensation (GTMC) is centrally responsible for creating and evolving Amazon’s talent programs and processes. The Executive Talent Management Analytics team is a team of Business Intelligence Engineers and Data Engineers with a direct impact on 300,000+ Amazonians across all of our businesses and locations around the world. We use employee data to drive the right conversations with S-Team leaders and other executives about how to improve existing talent programs and explore new and developing questions that shape our talent landscape.The Executive Talent Management Analytics team is looking for experienced BI engineer to support the end-to-end business intelligence for new and evolving talent products, proprietary to Amazon. In this role, you will work directly with customers, leaders, and program owners, influencing opportunity identification, product design, data capture, reporting/measurement, and evaluation strategies. You will use existing data/research to identify new challenges and opportunities, as well as data collected through methods you create/define. You will leverage your subject matter expertise and strong written/verbal communications skills to develop reproducible research/analyses shared with PXT analysts embedded across Amazon’s diverse set of businesses. As the end-to-end analyst for the product, you will also build proof-of-concept reporting tools, while scaling ad hoc data access, enabling the product team self-serve and make informed decisions in a fast-paced, ambiguous business environment.Key job responsibilities· Align with leaders and customers to translate business issues into testable hypotheses answerable with data.· Develop and execute analyses to drive talent insights.· Create data capture and measurement strategies that drive business action.· Drive a roadmap from descriptive to predictive analytics, moving routine tasks to self-service for your client group.· Work closely with peers and stakeholders to access, pull, transform, and analyze data from a variety of PXT sources.· Gather new data, and/or creatively use existing data to propose metrics and present them in compelling but easily understood way to a non-statistical audience.· Apply statistical tests to data, including (but not limited to), t-tests, chi-square, and regression.· Compile results in a concise, meaningful, and actionable format and share findings to senior leadership.· Build processes to scale fast and accurate on-demand and ad hoc data/analytical requests for leadership and key stakeholders.A day in the lifeAs an Amazon Business Intelligence Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you’ll be creating for our customers.Come build the future as a Senior Business Intelligence Engineer at Amazon, where you will be inspired working along best-in-class inventors and innovators! You will have the opportunity to create meaningful experiences that deliver on the ever-evolving needs of our customers, and your work will impact millions of people around the world.About the teamWork/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a better-rounded contributor.Inclusive Team CultureHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.BASIC QUALIFICATIONS- 5+ years of SQL experience- 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- Experience with data visualization using Tableau, Quicksight, or similar tools ...

Amazon Ads operates at the intersection of e-Commerce and Advertising, offering a rich array of digital advertising solutions with the goal of helping our customers find and discover anything they want to buy. Amazon DSP is Amazon’s programmatic advertising product for campaigns spanning Video, Audio and Display across Amazon properties (e.g., Amazon.com, Freevee, Twitch, Fire TV, and Amazon Music) and tens of thousands of third-party websites and apps. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in working to build a unique, world-class advertising offering with a relentless focus on the customer, you’ve come to the right place.A successful candidate will have a passion for data and analytics, knows and loves working with BI tools, is comfortable accessing and working with big data from multiple sources, and can partner with internal stakeholders to help drive the business. They will have a deep knowledge of business intelligence solutions, possess excellent statistical and analytical abilities, and have the ability to work with technology, product development, and business teams. They will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, and driven by a desire to innovate.Key job responsibilities- Partner with Product teams to understand the business requirements and implement solutions to support product plans.- Design, develop, and maintain scalable, automated, user-friendly systems, reports, and dashboards enabling stakeholders to manage the business and make effective decisions.- Implement training and documentation solutions that enables stakeholders to get the most out of our self-serve analytics tools.- Develop and support the analytical technologies that give stakeholders timely, flexible, and structured access to their data.- Define, develop, and maintain critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis.- Analyze historical data to extract meaningful insights from large and complex data sets to identify trends and support decision making, including written and verbal presentation of results and recommendations.- Conduct ad hoc data analysis and data quality investigations.BASIC QUALIFICATIONS- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience working in ad tech ...

We are looking for an outstanding BIE to join the US Prime Video Business Finance team. The BIE will work side-by-side with the Finance team members as they support the Business team driving success and growth of Prime Video. This is an exciting opportunity to develop analytical insights and work directly with business leaders to shape Prime Video’s entertainment strategy.Prime Video offers customers the greatest choice in what to watch including Amazon Original hits like Rings of Power, Jack Ryan, and The Marvelous Mrs. Maisel, 3P Channel subscriptions like Max and Paramount+, live events like Thursday Night Football games, and a large catalog of transactional (rent or buy) content. The Prime Video team comprises individuals who are all obsessively focused on one mission: to give consumers the world’s best-in-class digital video customer experience. Prime Video delivers an entertainment destination unlike any other—fast, reliable, personal, effortless, and delightful.With so many video benefits for Prime members delivered in one place, we continue to grow the attractiveness of Prime Video for both existing and prospective Prime customers. Our team owns the reporting and analytics for customers who join Prime via Prime Video, deep diving to develop insights that help drive our strategy for acquiring and retaining customers. Our team works with business leaders across Prime Video and Prime orgs, including Programming, Product, Content Strategy, and Marketing. As a Business Intelligence Engineer, you will work with our Finance team and partner with the business 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 financial data and diving deep to uncover insights that will impact financial 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 Finance 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 ...

Global Talent Management and Compensation (GTMC) is centrally responsible for creating and evolving Amazon’s talent programs and processes. The Executive Talent Management Analytics team is a team of Business Intelligence Engineers and Data Engineers with a direct impact on 300,000+ Amazonians across all of our businesses and locations around the world. We use employee data to drive the right conversations with S-Team leaders and other executives about how to improve existing talent programs and explore new and developing questions that shape our talent landscape.The Executive Talent Management Analytics team is looking for experienced BI engineer to support the end-to-end business intelligence for new and evolving talent products, proprietary to Amazon. In this role, you will work directly with customers, leaders, and program owners, influencing opportunity identification, product design, data capture, reporting/measurement, and evaluation strategies. You will use existing data/research to identify new challenges and opportunities, as well as data collected through methods you create/define. You will leverage your subject matter expertise and strong written/verbal communications skills to develop reproducible research/analyses shared with PXT analysts embedded across Amazon’s diverse set of businesses. As the end-to-end analyst for the product, you will also build proof-of-concept reporting tools, while scaling ad hoc data access, enabling the product team self-serve and make informed decisions in a fast-paced, ambiguous business environment.Key job responsibilities· Align with leaders and customers to translate business issues into testable hypotheses answerable with data.· Develop and execute analyses to drive talent insights.· Create data capture and measurement strategies that drive business action.· Drive a roadmap from descriptive to predictive analytics, moving routine tasks to self-service for your client group.· Work closely with peers and stakeholders to access, pull, transform, and analyze data from a variety of PXT sources.· Gather new data, and/or creatively use existing data to propose metrics and present them in compelling but easily understood way to a non-statistical audience.· Apply statistical tests to data, including (but not limited to), t-tests, chi-square, and regression.· Compile results in a concise, meaningful, and actionable format and share findings to senior leadership.· Build processes to scale fast and accurate on-demand and ad hoc data/analytical requests for leadership and key stakeholders.A day in the lifeAs an Amazon Business Intelligence Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you’ll be creating for our customers.Come build the future as a Senior Business Intelligence Engineer at Amazon, where you will be inspired working along best-in-class inventors and innovators! You will have the opportunity to create meaningful experiences that deliver on the ever-evolving needs of our customers, and your work will impact millions of people around the world.About the teamWork/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a better-rounded contributor.Inclusive Team CultureHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience writing complex SQL queries- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Does designing, building and maintaining enterprise level analytics and data infrastructure excite you? SMB Marketing Analytics team has an opportunity for you.Amazon Advertising operates at the intersection of e-commerce and advertising, offering a rich array of digital advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on Amazon owned and operated sites and on other high-quality sites across the web. We start with the customer and work backwards in everything we do, including advertising. We are highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit (“it’s always Day1”) and bias for action.SMB Marketing Analytics team supports SMB Marketing team in delivering highly relevant and personalized marketing content to majority of current and prospective advertisers. In this role, you will work with 10+ highly motivated team-members and will be responsible for designing, building and maintaining data infrastructure, creating automated reporting and dashboards, designing and measuring experiments, and executing complex analysis to support business functions.In this role you will:-Design, develop and maintain scaled, automated, user-friendly systems, reports, APIs, dashboards, etc. that will support our business needs.-Partner with operations/business/science/tech teams to consult, develop and implement KPIs, automated reporting/process solutions, and data infrastructure improvements to meet business needs.-Help drive new initiatives and data integration projects and apply your deep analytic and business intelligence skills to extract meaningful insight and learning from large and complicated data sets.-Serve as liaison between the business and product/science teams to prototype new marketing solutions and perform ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendationsKey job responsibilities* Own the design, development, and maintenance of datasets, ongoing metrics, analyses and dashboards to drive key business decisions.* Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.* Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.* Use analytical and statistical rigor to identify performance gaps and opportunities for optimization.* Build data infrastructure in collaboration with partner tech-teams to facilitate scaling-up various marketing initiatives.* Support central BI team in reporting on global marketing efforts.* Promote best practices in ETL and mentor your team.A day in the life* Use technical expertise to suggest ways to improve processes and incorporate operational excellence best practices* Use analytical and statistical rigor to answer business questions and drive business decisions* Recognize and adopt best practices in reporting and analysis: data integrity, design, analysis, validation, and documentation* Improve the Knowledge management environment by providing guidance in technical documentationBASIC QUALIFICATIONS- 8+ years of professional or military experience- 5+ 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 in the data/BI space ...