Business Intelligence

The Learning & Development Science team in Amazon Logistics (AMZL) builds state-of-the-art Artificial Intelligence (AI) solutions for enhancing leadership and associate development within the organization. We develop technology and mechanisms to map the learner journeys, answer real-time questions through chat assistants, and drive the right interventions at the right time. As an Applied Scientist on the team, you will play a critical role in driving the design, research, and development of these science initiatives.The ideal candidate will lead the research on learning and development trends, and develop impactful learning journey roadmap that align with organizational goals and priorities. By parsing the information of different learning courses, they will utilize the latest advances in Gen AI technology to address the personalized questions in real-time from the leadership and associates through chat assistants. Post the learning interventions, the candidate will apply causal inference or A/B experimentation frameworks to assess the associated impact of these learning programs on associate performance. As a part of this role, this candidate will collaborate with a large team of experts in the field and move the state of learning experience research forward. They should have the ability to communicate the science insights effectively to both technical and non-technical audiences.Key job responsibilities* Apply science models to extract actionable information from learning feedback* Leverage GenAI/Large Language Model (LLM) technology for scaling and automating learning experience workflows* Design and implement metrics to evaluate the effectiveness of AI models* Present deep dives and analysis to both technical and non-technical stakeholders, ensuring clarity and understanding and influencing business partners* Perform statistical analysis and statistical tests including hypothesis testing and A/B testing* Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentationBASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Amazon Ads is Hiring! Amazon Advertising is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Amazon Advertising seeks the world's brightest and best talents to lead next-generation solutions that enable advertisers to reach customers across our owned and operated sites, on other high-quality publisher sites across the web, and on millions of desktops, mobile, and connected TV devices. We start with the customer and work backwards in everything we do, including Advertising. We seek candidates who want to join a team focused on building large-scale systems that integrate across multiple sources to provide unique advertising products. These products will provide sales enablement to the sales team to drive advertisement business’s growth. As a Sr.Business Intelligence Engineer, you will mine large amount of data, build metrics and drive customer adoption. You will play a leadership role in our team – the team will look to you for advice on analytical and business problems. You will work closely with customers, product managers, and engineers to drive automated analytics, reporting and decision making. If you love working with huge data sets and delivering the insights you discover through business intelligence reporting, then this is the job for you. If you enjoy dealing with high ambiguity, complexity and broad scope that will be at the epicenter of our initiative, come join us!What does it take to succeed in this role? Excited by the scale at which we work. A roll-up-your- sleeves attitude. You should be a self-starter who loves working with Business Intelligence tools and thrives on dealing with the intricate complexity of large data sets. You are analytical and creative and you don’t quit.Key job responsibilities• Analyze data to find actionable insights that lead to business insights and opportunities.• Build dashboards and custom reports to track performance and investigate key business questions.• Engage with diversified customer groups to understand their needs and deliver business intelligence solutions.• Partner with Data engineers to define the data elements that the team should leverage to enable capabilities.• Recommend new metrics, techniques and strategies to improve the operational and quality metrics.• Recognize and adopt best practices in reporting and analysis: data integrity, validation, and documentation.A day in the life• Empathize with the customer and understand their problems and needs.• Dive deep to find the root cause of the problem and suggest solutions (short/mid/long term).• Perform benefits and tradeoff assessment to assess the best solution considering the timeline and available resources.• Collaborate with the tech team and bring the solutions to life (build world class products).• Participate in the tech discussion and ensure that the product is scalable and sustainable.• Connect with the customer throughout the product lifecycle and ensure we exceed their expectation.About the teamHighly cross functional team that has product managers, business intelligence and full stack engineers who collectively collaborate to solve the problems faced by customers. We thrive by brainstorming and bouncing off solutions that transform the lives of our customers.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 ...

The Undiscovered and Small Business Accelerator (USBA) team's vision is to use our fuel to cultivate trust, eliminate systemic barrier and empower high priority small and undiscovered businesses through targeted investments that enhance selling partner discoverability, readiness to scale, and access to sustainable pathways to equity that build generational wealth.We are seeking an experienced Senior Business Analyst to help us build the data capabilities and insights that will further our ability to deliver on our commitments to our sellers. The ideal candidate is a thought leader, who thrives in an ambiguous environment and loves bringing insights to undefined problems. They have expertise defining stakeholder data requirements and delivering complex analytical and reporting solutions across multiple cross-functional teams.*this role may be located in Arlington, VA, Seattle, WA based on candidate preference*Key job responsibilitiesBusiness Analysts (BAs) are analytics professionals who work directly with our business leaders (Product, Program, and Account Managers, Marketing, Finance, and Tech partners) to translate the voice of the seller and the data our team owns into actionable insights. BAs work directly with the business and our Business Intelligence Engineers, Data Engineers, and Data Scientists to apply the best data to each analysis they own. You will be the closest to the business and will be expected to collaborate with business leaders to not only provide data-based analyses, but also consult on what other data resources our team has to offer. You will dive deep on projects and work with engineers on our BI team on the right mechanisms to continuously inspect and influence the direction that our organization will take. A strong sense of working backwards and product ownership, alongside inclinations to collaborate with your team will ensure that the products we build and the analyses you conduct continuously improve the level of service we can provide to USBA organization.BASIC QUALIFICATIONS- 5+ years of tax, finance or a related analytical field experience- 3+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience- Bachelor's degree- Experience defining requirements and using data and metrics to draw business insights- Experience with SQL- Experience making business recommendations and influencing stakeholders- Bachelor's degree in finance, data analytics, mathematics, statistics, engineering, or related technical or quantitative field ...

Do you want to join a new team forging innovative ways to enhance customer experience? Do you have a passion for customer experience and a mindset for data-driven problem solving? Amazon turned the transportation industry on its head by offering 363 day-a-year delivery, what will we do next? NASC ACES is looking for a talented Business Analyst who will own analytics, reporting frameworks, and data visualizations from ground zero. Development of analytics will directly impact leadership decision making and optimization for driving risk mitigation improvements. As a member of this team, you will have an opportunity to be a thought leader in Amazon Sort Centers and work with a group of talented Program Managers, Operations teams, and business leaders to design the Amazon network of the future. We are focused on your success and want to build strong leaders within Amazon Transportation Services. You can expect to leverage your analytical skills and have full ownership of the projects you manage.Key job responsibilities - Perform complex data analysis to identify opportunities to reduce fulfillment costs as well as improve efficiencies and customer experience - Design, develop and establish KPIs to monitor analysis and provide strategic insights to drive growth and performance - Ability to perform/own reoccurring and ad-hoc business intelligence projects - Develop standardized metrics to evaluate and benchmark pertaining to short and long term network planning and forecasting - Communicate complex analysis and insights to stakeholders and business leaders, both verbally and in writingBASIC QUALIFICATIONS- 1+ years of tax, finance or a related analytical field experience- 2+ years of complex Excel VBA macros writing experience- Bachelor's degree or equivalent- Experience defining requirements and using data and metrics to draw business insights- Experience with SQL or ETL ...

Amazon’s Account Integrity team within the Customer Trust and Partner Support organization is looking for a passionate, results-oriented Business Analyst to leverage data to deliver projects with huge strategic impact. This team designs and builds high performance software systems using machine learning that identify and prevent fraudulent activity and maintain high trust levels with our customers. Fraud prevention is a real-money game where our software and analytics teams strive to outsmart those who attempt to defraud Amazon and our customers.As a Business Analyst in the Account Integrity group, you will be responsible for analyzing and reporting large data sets in partnership with product managers, scientists, and engineers to ensure the team is prioritizing the right goals and opportunities to stop bad actors and protect customers.Responsibilities:- Create, maintain, and improve data sets, pipelines and reporting to track and manage important KPIs and goals in the Account Integrity space- Apply your expertise in quantitative analysis, data visualization and data-mining to design alarming system, derive actionable insights and guide product strategy for stakeholders and leadership- Develop internal reporting/visualization tools for self-serve- Provide analytical support for new feature launches- Effectively communicate complex analytical concepts to non-technical stakeholders to drive decision makingKey job responsibilities- Deep diving business trends, analyzing anomalies and guiding business decision-making through data- Building dashboard/scalable metric tracking mechanisms- Working closely with Business and Operations teams to find ways to mitigate bad actor attacks- Ensuring that the team works backwards from the customer problem using dataAbout the teamThe Account Integrity’s mission is to prevent bad actors from using the Amazon brand or Amazon accounts to harm customers, sellers, and the Amazon business.BASIC QUALIFICATIONS- 3+ years of business analyst, data analyst or similar role experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau 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- Experience with data visualization using Tableau, Quicksight, or similar tools ...

We are looking for an experienced and self-driven Business Intelligence Engineer with deep understanding in analytical tools, to be part of a team of talented scientists and engineers to innovate, iterate, and solve real world problem with cutting-edge AWS technologies. In this role, you will take a leading role in driving business analytics to inform the tech roadmap. You will join a cross-functional, fun-loving team, working closely with scientists and engineers on a daily basis. You will lead end-to-end development of business intelligence solutions and you’ll play an integral role in strategic decision-making. If you are passionate about creating the future, come join us as we have fun, and make history.Key job responsibilities- Define and execute an analytical roadmap that drives data-informed decision making for marketers and advertisers- Establish and drive data hygiene best practices to ensure coherence and integrity of data feeding into production ML/AI solutions- Collaborate with colleagues across science and engineering disciplines for fast turnaround proof-of-concept prototyping at scale- Partner with product managers and stakeholders to define forward-looking product visions and prospective business use cases- Drive and lead of culture of data-driven innovations within and outside across Amazon Ads Marketing orgsAbout the teamMarketing Decision Science provides science products to enable Amazon Ads Marketing to deliver relevant and compelling guidance across marketing channels to prospective and active advertisers for success on Amazon. We own the product, technology and deployment roadmap for AI- and analytics-powered products across Amazon Ads Marketing. We analyze the needs, experiences, and behaviors of Amazon advertisers at petabytes scale, to deliver the right marketing communications to the right advertiser at the right team to help them make the data-informed advertising decisions. Our science-based products enable applications and synergies across Ads organization, spanning marketing, product, and sales use cases.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 ...

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 ...

FBA organization is looking for a customer focused, analytically and technically skilled business intelligence engineer to support the Inventory Optimization organization's analytic needs.This position will be part of the business analytics team responsible for building out analysis, visualization tools and processes for the FBA FIO businesses. The successful candidate will be able to retrieve, integrate, visualize and present critical data in a format that is immediately useful to improve the business decision process. This role requires an individual with excellent analytical abilities as well as outstanding business acumen and comfort with technical teams and systems. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and enjoying working with large scale of data.Key job responsibilitiesa. Collaborate with research sciences, product and technology teams in driving step function changes towards influencing seller experience improvements. b. Collaborate with senior leadership to implement advanced analytics algorithms and model evaluation framework across Capacity and Inventory Management domainsb. Own analytics for key domains across inventory optimization services and deliver self-service analytics at scalec. Own data governance and stewardship for business critical metrics that influence technology investment decisionsd. Analyze and visualize transaction data to determine seller behaviors, and output solid analysis with recommendations.e. Create scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.f. Lead projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.g. Develop queries, statistical analysis, and visualizations for ad-hoc requests and projects, as well as ongoing reportingBASIC QUALIFICATIONS- 10+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining ...

Amazon is a fast paced innovative company that is developing software that no one has attempted before. If you are a data engineer who is passionate about writing code and loves to build large scale data pipelines which are , scalable, high throughput, fault tolerant and always available, then get in touch with us.The Item and Offers team is responsible for a variety of services that form a core part of the Amazon eCommerce platform. We are primarily responsible for developing the services that process all of the Item information from millions of merchants who want to sell through the Amazon family of websites. Our expertise lies in managing billions of products in the catalog and developing large scale distributed systems that process hundreds of millions of changes to the catalog every day in real time. The team offers a unique blend of hard computer science problems and an opportunity to help the businesses model their new ideas.Are you passionate about working with large datasets and code? Do you want to build and manage data engineering solutions that process a broad range of data schemas? Do you want to continuously improve the data pipelines that operate at Amazon’s catalog scale while ensuring our customer’s trust? If yes, then come join the Catalog Data Works (CDW) team with the charter to provide useful, fresh and historical catalog data that teams at Amazon can analyze and leverage for their business use cases. The published by this team are a critical component of building a catalog that earns our customers’ trust.As a Sr. Data Engineer in the CDW team, you will own complex big data pipelines and data solutions to provide highly availability datasets. You will work with large data sets (in petabytes) and transformations involving multiple data sources to enable downstream analytics for our stakeholders. You will build and manage large datasets to help teams drive data-driven decisions through analytical and business metrics dashboards.The Data Engineer will play a crucial role in designing, developing, and maintaining efficient and scalable data pipelines, data models, and data warehousing solutions. This position will be responsible for ensuring data integrity, quality, and availability across the organization, enabling data-driven decision-making and supporting business analytics and insight initiatives.Key job responsibilities• Define and optimize data models for rapid analytics on catalog product data, improving freshness and LLM consumption while reducing costs and undifferentiated work.• Automate metrics generation to support S-team goals, including pack hierarchy scaling and standard KPIs, while leading strategy for scaling self-serve analysis and dashboards.• Mentor engineers, establish best practices in data engineering and operational excellence, and stay current with latest technologies to recommend innovations.• Conduct comprehensive data discovery, profiling, and performance analysis for various sources, designing effective models for Page0, entitlement, propensity, and other relevant data.• Collaborate with stakeholders to translate requirements into optimized data structures, while establishing and enforcing data governance policies to maintain quality, consistency, and security.• Take a long-term view of data solutions, proactively addressing architecture deficiencies and making appropriate trade-offs for usability, security, maintainability, scalability, and extensibility.• Resolve root causes of endemic problems, unblocking innovation for related teams, and build consensus with stakeholders to influence and determine the best path forward.About the teamBASIC QUALIFICATIONS- Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience mentoring team members on best practices- Experience in at least one modern scripting or programming language, such as Python, Java or Scala- Experience in dimensional data modeling and schema design- Experience with diverse data formats: Parquet, JSON, big data formats, and table formats like Apache Iceberg ...

Are you excited to drive high-visibility, long term Supply Chain and Transportation plans to help Amazon meet future operational and analytics needs? Looking for a motivated individual with strong analytical skills, supply chain and transportation knowledge, and technology experience to join our Supply Chain Execution Planning and Analytics team as a Business Intel Engineer (BIE). This position partners with several functional groups such as supply chain optimization, fulfillment technology, sales and operations, transportation, and several other key stakeholders throughout the process. As a BIE, 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/high impact areas in the organization.Key job responsibilities - 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) - Develop deep-dive tools, UIs, metrics, and dashboards - Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current business performance. This will require data gathering and manipulation, synthesis and modeling, running simulations, problem solving, and communication of insights and recommendations.BASIC QUALIFICATIONS- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)- Experience with scripting language (e.g., Python, Java, or R) ...

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 ...

re:Cycle Reverse Logistics is an electronics processing, reuse, and recycling company that works to extend the life of used electronic equipment through reuse, repair, and recycling. We are a stand-alone company within the Amazon corporate family that provides services to other Amazon companies. We specialize in the handling of valuable electronic equipment that was originally used in data centers. Come join our team and be a part of history as we deliver results for the largest cloud services company on Earth! re:Cycle Reverse Logistics is looking for a talented, driven, and analytically focused Business Analyst in support of our Reverse Logistics (RL) program. As a Reverse Logistics Business Analyst you will be responsible for developing metrics, dashboards and automatic solutions to support multiple initiatives within our global network focused on sustainability and recovery. Dashboard creation will support daily operations, track KPIs, and provide holistic performance measurements to be shared with internal and external stakeholders. The role plays a critical part in ensuring strategic commitments are made and operations are exceeding desired performance levels by using metrics to drive accountability and process improvements. To achieve this you will need to partner with the multiple project leads to align on business needs in order to continuously optimize our end-to-end supply chain.Key job responsibilitiesWorking on a diverse project portfolio supporting Sustainability and recovery initiatives and strategy.Cross-functional collaboration across multiple business teams, Operations, Commercials, Program Management and Finance leadership.Coordination of global analytic roll-ups in support of project work and reporting as needed.Create new pipelines for automation, reporting & analytic opportunities by analyzing and understanding key processes.Document writing and presentations on key initiatives used to influence necessary business actions benefiting the RL Network.BASIC QUALIFICATIONS- Bachelor’s degree - 3+ years of business analyst, data analyst or similar role experience- 3+ years experience with data visualization using Tableau, Quicksight, or similar tools- Minimum 2+ years experience with SQL ...

CMS Data Platform team’s mission is to empower Case Management tenants to make data driven decisions and derive insights.As a Business Analyst, you will help develop an analytic platform to drive deep dives, provide insights into the health and state of the CMS insights and experience. Build mind share “CMS Insights Suite” of pre-built dashboards that support tenants covering both retrospective and reactive reporting use cases including command center view. The suite will contain data dictionary of available metrics, dashboards and data catalog around routing, case/issue handling and workforce management themes. Launch the capability to tenants providing initial metrics coverage of 80% and ability to customize around routing and case handling sections.The Business Analyst will collaborate with Paragon Product team to build a metrics to measure Paragon experience. You will own the design, creation, and management of metrics, associated dashboards and datasets. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and performant data solutions using statistical techniques or regression models to generate insights from the structured/unstructured datasets.A successful candidate will be highly analytical, an expert with SQL and excel, seek opportunities to inject advanced analytical techniques, resourceful, customer focused, team oriented, and have an ability to work independently under time constraints to meet deadlines.Key job responsibilities• Leading complex data analysis projects to identify opportunities for improvement and optimization• Gathering and interpreting data from various sources to inform decision making• Developing and implementing solutions to optimize business performance• Creating data visualizations to communicate findings and monitor performance• Communicating findings and recommendations to senior management through presentations and reports• Mentoring and guiding junior team members in data analysis and process improvement methodologies• Assisting in the development and execution of strategic initiatives, metrics and contribution in analytical roadmaps.BASIC QUALIFICATIONS- 4+ years of business analyst, data analyst or similar role experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience with data visualization using Tableau, Quicksight, or similar tools- Strong analytical skills, with the ability to gather, interpret, and make insights from large amounts of data- Expert in SQL and data analysis- Experience with data visualization tools such as QuickSight or Tableau- Experience with statistical techniques, prepost analysis- Excellent communication and presentation skills, with the ability to convey complex information to a non-technical audience ...

This position will lead the development of data analyses to assess the accuracy of headcount planning inputs and establish strong mechanisms to meet planning accuracy targets and ongoing changes in customer need.Selling Partner Services is responsible for creating a trustworthy shopping experience across Amazon stores worldwide by protecting customers, brands, selling partners and Amazon from fraud, counterfeit, and abuse as well as empowering, providing world‐class support, and building loyalty with Amazon’s millions of selling partners. We value individual expression, respect different opinions, and work together to create a culture where each of us is able to contribute fully. Our unique backgrounds and perspectives strengthen our ability to achieve Amazon's mission of being Earth's most customer-centric company.The SP-Support team within Selling Partner Services handles the majority of support interactions with Selling Partners (Sellers, Vendors, and Brand Owners), but also work with many other teams across Selling Partner Services and other Amazon teams to collectively solve Selling Partner issues. This role will join our cross-functional headcount planning team, Global Planning, and work closely with various stakeholders world-wide such as Finance, Operations, Regional Capacity Planners, Hiring and Training teams to develop data analyses to be used by downstream teams to plan staffing, cost, and root cause resolution approaches. In this role, the Business Analyst will support Global Planning by leading weekly, monthly, and quarterly business review processes; analyzing data (exports and other) to drive prioritization work, assess optimization opportunities, and completing ad-hoc analysis. This position will support and partner with senior leadership to provide data oversight and decision support in this rapidly evolving space. The successful candidate will be a self-starter, comfortable with ambiguity and be able to create and maintain efficient & automated processes. The ideal candidate must thrive in a fast-paced environment, have a strong sense of curiosity and initiative, focus on generating results within tight deadlines, and maintain a high standard of personal and professional integrity and ethics. The successful candidate will be a thought leader, with the ability to deep dive while thinking big. We are looking for a team-player to play a significant part in defining our team efforts. Key job responsibilities• Provide data management processes such as accessing raw data feeds, building queries and macros, writing SQL code, organizing data and designing reports that present status-at-a-glance visualization for business performance.• Retrieving and analyzing large sets of data using Excel, SQL, and other data management systems.• Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions.• Taking ownership of reporting processes to ensure that each report is accurate and timely with a high degree of customer focus in resolving data discrepancies.• Building and managing related key performance indicators (KPIs) to measure, control, and benchmark reporting processes.• Monitoring existent metrics, building new metrics, and partnering with internal teams to identify process and system improvement opportunities.• Supporting cross-functional teams on the day-to-day execution of the existent program implementation.• Generating complex queries to dive deep on process issues• Innovating to improve customer experienceBASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience with Excel ...

As a Business Intelligence Engineer, you get a lot done. You work very efficiently and routinely deliver the right things. You have a department-wide view of the analytical solutions that you build, and you consistently think in terms of automating or expanding the results company-wide. You have performed multiple complex, and business critical analyses that serve major parts of the business. Your work and your approach to work are exemplary – you drive best practices and set standards for your team. Other analytical individuals in your department regard you as an expert in one or more analytical areas.You show strong analysis making technical trade-offs between your group’s short term and long term business needs, and the needs of the company as a whole. When confronted with discordant views, you find the best way forward and convince your team. You are vocally self-critical. You proactively contribute to knowledge-sharing across the Amazon analytical community. You demonstrate resilience and navigate difficult situations with composure and tact. Amazon has a culture of data-driven decision-making, and demands business intelligence that is timely, accurate, and actionable. Our environment is very fast-paced, and requires someone who is flexible, detail-oriented, passionate about the customer and comfortable working with numerous stakeholders across the organization and worldwide. We are looking for a Business Intelligence Engineer to help us extract meaning from large volumes of data to make the right business decisions. The candidate will have to set the right vision, strategy and roadmap and work alongside with stakeholders in the organization to make it happen. The candidate knows and loves working with business intelligence tools, can model multidimensional datasets, and can partner effectively with business leaders to answer key business questions. You are analytical and creative, and you don’t quit. Primary Responsibilities · Engage with leadership and diversified customer groups to understand the needs and recommend business intelligence solutions. · Partner with Data engineering team to define the data elements and data structure that the team should leverage to enable analytical capabilities. · Design, implement, and support platforms that provide business teams ad-hoc access to large datasets (eg data visualization tools for non-tech business users) · Interface with business customers, gathering requirements and delivering complete reporting solutions. · Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. · Participate in strategic & tactical planning discussions. · Standardize data and report consumption across all customer groups. · Make recommendations for new metrics, techniques, and strategies to improve the operational and quality metrics. · Be connected and influential within the Amazon analyst community. Work with Data engineering, Software development teams to enable the appropriate capture and storage of key data points. 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 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 ...

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

Quick: A seller is listing a new product on Amazon. They report the product normally lists for $89.99 and that they're selling it for $50. What should Amazon do with this information? Is this price gouging or a terrific price?This is a difficult problem...and it happens more than 2 billion times per day!The Amazon Pricing team is looking for a business intelligence engineer to own analytics our worldwide suite of Price Evaluation tools that answer the hypothetical question posed above and many more like it. As the BIE over our price evaluation tools, you’ll partner with our team of product managers, research scientists, data scientists, data engineers, and developers to build out the next generation of models that Amazon uses to evaluate prices. You will help identify and size false positives or new opportunities that improve upon a suite of tools that are designed to ensure products on Amazon have prices that are factually-based, competitively priced, and not 'too good to be true.' In this role you will identify and drive projects to increase Amazon’s understanding and influence of pricing. You will develop regular business reporting to baseline current performance and deepen our insights across customer segments and product types. You will help to establish measurements that will be used when running experiments to measure the impact of the experiments on price perception. You will help to influence the development of new models that will influence the way we display products. You will collaborate across teams to develop capacity reporting for project and operational overhead for existing and emergent work-flows. You will help define the data pipeline, self-service tools and drive insights that improve our Price Evaluation tools. The ideal candidate is a motivated self-starter that can work independently in a fast paced, ambiguous environment with limited supervision. You must be a fast learner who can quickly absorb the nuances of Amazon's varied pricing programs and processes. You need to be analytical in your decision making, with a demonstrated ability to drive issues to completion.The position is located in Seattle, WA.As part of this role you will -1. Work closely with the partner PMs, Data engineers and Data Scientists to identify and address issues and opportunities.2. Facilitate and manage the Pricing Eligibility Services BIE sprint planning and execution process3. Analyze key metrics to uncover trends and root causes of issues.4. Build metrics to measure key inputs and output metrics that drive Amazon price perception5. Develop deep dive tools for key metrics.BASIC QUALIFICATIONS- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Prime Video is changing the way people watch movies and TV shows, with millions of titles available on-demand on Kindle, Fire TV, mobile devices, game consoles, Internet-connected TVs, and Blu-ray players. Are you excited about launching content on Prime Video and holding key impact on helping our business scale? Prime Video Trust & Safety programs aim to enable a globally trusted customer experience by ensuring that Prime Video (PV) provides content customers love and trust and accurate, meaningful and complete information to empowering customers to make informed viewing choices for themselves and their children.We are looking for a results-oriented individual to support Prime Video Trust & Safety risk planning and analysis for global customer trust and regulatory initiatives. You will manage a global team and partner with diverse stakeholders (Policy, Program, Legal, Tech, Science, Product) to mitigate large-scale business risks and drive key business insights. You will be responsible for running large-scale analyses and building metrics/KPIs to scale the Trust & Safety business, while proactively identifying defects and simplifying manual processes. If you love being at the forefront of industry growth and development, developing and executing processes in a highly ambiguous environment, identifying information gaps and collaboration needs, and driving business strategy, then this is the spot for you. This is a high impact role offering an opportunity to drive and influence business-critical decisions impacting the long-term future of Trust & Safety.Key job responsibilities- Manages a global team of analysts to proactively address emerging business risks. - Develop and communicate comprehensive KPIs/metrics, business risks, and data limitations.- Leverage reports and analytics to make recommendations in line with business strategy and goals.- Partner and collaborate with business partners and stakeholders to drive strategic projects.- Identify system and process improvement opportunities which will directly influence customer trust, regulatory compliance, and operational efficiency. - Manage and coordinate change management initiatives.- Participates in recruitment and selection activities including role modeling through hiring decisions and processes.- Manages performance and behavior of direct reports through effective 1:1 meetings, coaching and mentorship.- Maintains a positive and professional demeanor always portraying the site and company in a positive light and effectively managing sensitive issues.- Demonstrates excellent time-management skills and the ability to work independently while using departmental resources, policies and procedures.A successful candidate will need to:- Communicate ideas and business risk concisely to a wide variety of stakeholders for purposes ranging from informative to need for approvals from executives.- Embody a true pioneering spirit, willing to “get hands dirty” in a start-up environment while simultaneously developing processes, automation, and delivering results.- Clearly define data requirements and metrics, working with teams to implement the entire data flow from capture to presentation and management.- High attention to detail and proven ability to manage multiple, competing priorities simultaneously particularly during escalations and high-visibility events.- Keen on developing and training people to improve skills and capabilities for sustainable and continuous improvement.BASIC QUALIFICATIONS- 5+ years of direct experience in quantitative research or analysis- 3+ years in program & project management- 3+ years building forecasting and/or planning models in Excel or other more advanced tools- Direct supervisory and people management experience ...

FBA organization is looking for a customer focused, analytically and technically skilled business intelligence engineer to support the Inventory Optimization organization's analytic needs.This position will be part of the business analytics team responsible for building out analysis, visualization tools and processes for the FBA FIO businesses. The successful candidate will be able to retrieve, integrate, visualize and present critical data in a format that is immediately useful to improve the business decision process. This role requires an individual with excellent analytical abilities, deep business acumen and comfort with technical teams and systems. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and enjoying working with large scale of data.Key job responsibilitiesa. Collaborate with research sciences, product and technology teams in driving step function changes towards influencing seller experience improvements.b. Collaborate with senior leadership to implement advanced analytics algorithms and model evaluation framework across Capacity and Inventory Management domainsb. Own analytics for key domains across inventory optimization services and deliver self-service analytics at scalec. Own data governance and stewardship for business critical metrics that influence technology investment decisionsd. Analyze and visualize transaction data to determine seller behaviors, and output solid analysis with recommendations.e. Create scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.f. Lead projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.g. Develop queries, statistical analysis, and visualizations for ad-hoc requests and projects, as well as ongoing reportingBASIC 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 ...