Amazon.com
Seattle, Washington, United States
Do you enjoy transforming data into actionable insights and taking data-driven approach to solving complex business problems? The Pricing and Analytics group on Amazon Retail Operations and Initiatives team is looking for a talented Senior Business Intelligence Engineer to drive world-class analysis and guide strategic business decisions. At Amazon, you will be working in one of the world's largest and most complex data environments. The Business Intelligence Engineer occupies a unique role at the intersection of business, technology, finance, statistics, data mining, and social science. To succeed in this role you should be passionate about working with large datasets and be someone who loves to bring data together to answer key business questions. You should have deep expertise in the creation and management of datasets and the proven ability to translate the data into meaningful insights. You should have a solid understanding of efficient and scalable data mining and an ability to use the data in financial and statistical modeling. In this role, you will have ownership of end-to-end development of reports and solutions to complex questions and you'll play an integral role in strategic decision-making. The successful candidate will be comfortable with advanced SQL query design and data mining techniques, have strong analytical and communication skills, and have a passion for using data to drive business decisions. You attack complex business questions with data and curiosity, diving below the surface to identify the root cause. You develop strong working relationships with business partners to define and understand key business questions and analyze data to answer those questions - driving strategic business decisions. Responsibilities: . . Gather data and perform sophisticated analytical exercises . Employ data mining, segmentation, and other analytical techniques to capture important trends and create relevant measurement dashboards . Drive standardization, simplification and automation of internal processes and data products . Manage weekly and monthly business reporting and create relevant measurement dashboards . Work with various stakeholders to understand business drivers, goals, and actionable outcomes using analytics . Manage databases and work with technology teams to develop systems to support business needs Basic Qualifications: . BA/BS Degree in Statistics, Mathematics, Computer Science, Economics, Engineering, Finance, Bioinformatics or related discipline . 3+ years of relevant work experience in data science, business analytics, finance, business intelligence (BI), or comparable analytics positions handling large, complex data sets . Advanced SQL and Excel skills to access and transform data into insights . Ability to quickly adapt to changing priorities and generate innovative solutions in an extremely fast-paced environment . Strong written and verbal communication skills to report compelling and concise data insights to leadership Preferred Qualifications: . MBA or advanced degree in an analytic field is desired . Experience working with Tableau or similar data visualization tools and SAS/R/Python or similar statistical tools . Experience conducting large scale data analysis to support business decision making . Ability to solve complex problems quantitatively and develop clear, data-driven business recommendations . Experience leading cross-functional projects and effectively communicating with both business and technical teams
Do you enjoy transforming data into actionable insights and taking data-driven approach to solving complex business problems? The Pricing and Analytics group on Amazon Retail Operations and Initiatives team is looking for a talented Senior Business Intelligence Engineer to drive world-class analysis and guide strategic business decisions. At Amazon, you will be working in one of the world's largest and most complex data environments. The Business Intelligence Engineer occupies a unique role at the intersection of business, technology, finance, statistics, data mining, and social science. To succeed in this role you should be passionate about working with large datasets and be someone who loves to bring data together to answer key business questions. You should have deep expertise in the creation and management of datasets and the proven ability to translate the data into meaningful insights. You should have a solid understanding of efficient and scalable data mining and an ability to use the data in financial and statistical modeling. In this role, you will have ownership of end-to-end development of reports and solutions to complex questions and you'll play an integral role in strategic decision-making. The successful candidate will be comfortable with advanced SQL query design and data mining techniques, have strong analytical and communication skills, and have a passion for using data to drive business decisions. You attack complex business questions with data and curiosity, diving below the surface to identify the root cause. You develop strong working relationships with business partners to define and understand key business questions and analyze data to answer those questions - driving strategic business decisions. Responsibilities: . . Gather data and perform sophisticated analytical exercises . Employ data mining, segmentation, and other analytical techniques to capture important trends and create relevant measurement dashboards . Drive standardization, simplification and automation of internal processes and data products . Manage weekly and monthly business reporting and create relevant measurement dashboards . Work with various stakeholders to understand business drivers, goals, and actionable outcomes using analytics . Manage databases and work with technology teams to develop systems to support business needs Basic Qualifications: . BA/BS Degree in Statistics, Mathematics, Computer Science, Economics, Engineering, Finance, Bioinformatics or related discipline . 3+ years of relevant work experience in data science, business analytics, finance, business intelligence (BI), or comparable analytics positions handling large, complex data sets . Advanced SQL and Excel skills to access and transform data into insights . Ability to quickly adapt to changing priorities and generate innovative solutions in an extremely fast-paced environment . Strong written and verbal communication skills to report compelling and concise data insights to leadership Preferred Qualifications: . MBA or advanced degree in an analytic field is desired . Experience working with Tableau or similar data visualization tools and SAS/R/Python or similar statistical tools . Experience conducting large scale data analysis to support business decision making . Ability to solve complex problems quantitatively and develop clear, data-driven business recommendations . Experience leading cross-functional projects and effectively communicating with both business and technical teams
Amazon.com
Seattle, Washington, United States
This is an opportunity to be a part of an initiative that will leverage a centralized data historian to analyze big data and enable strategic decision making to help shape the future of the Worldwide Fulfillment Network. The World Wide Business Transformation group combines the skills of top tier Technical PMs, Operations Engineers, and Program Managers to conduct statistical analysis, design machine learning models, and provide recommendations for incremental, emerging, and disruptive improvements initiatives across Operations. Our goal is to apply innovative data solutions to process improvement efforts across Amazon in areas such as artificial intelligence, data science, machine learning, computer vision, and other capacities to advance Amazon's performance. As a Business Intelligence Engineer, you will develop analytical solutions to business problems that utilize the highest standard of analytical rigor and data integrity. You use analytics to solve business problems. The analyses you perform will regularly require input and guidance from team members. You work towards team goals, using analytical best practices. You proactively and continually improve your level of knowledge about Amazon's business and relevant data resources. You use this knowledge to drive your team forward. You communicate professionally with your team and other teams in your division, knowing when to contribute and when to listen. Your work is accurate and thorough and you strive towards excellence. You will hold a highly critical role that requires interaction with leaders across Operations, Engineering, Amazon Robotics, Advanced Technology, and Amazon Fulfillment Technology. Some of the Problem that we need you help solving: . How do we standardize process management and reduce process/machine variation across Worldwide Operations? . Where should we be investing strategic resources? . How do we find predictive insights from masses of data to know where to focus operations improvements? You will have an opportunity to: . Coordinate directly with next generation project teams to establish measurement systems, machine learning models, design of experiments. . Publish findings, updates, and data driven recommendations from your team to Senior Leadership across Worldwide Operations. . Develop and maintain standard operating procedures for your team and their interactions across the organization. You should be able to: . You recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. . You write high quality code to retrieve and analyze data. . You analyze and solve business problems at their root, stepping back to understand the broader context. . You develop pragmatic analyses and choose applicable solutions that add value to your business area. . You understand data resources and know how, when, and which to use (and which not to use). . You recognize and use advanced analytical techniques to solve business problems. . You develop analyses (whether fully formed or exploratory) for the business' sake, not for analyses' sake. . You seek to understand the business objectives relevant to your area. . You align your work to those objectives and seek to deliver business value. Basic Qualifications: . Bachelor's Degree required, preferably in Statistics, Math, Finance, Engineering, Business or a related field or equivalent experience . Industry experience in data engineering, business intelligence, data science, machine learning or related field with a track record of manipulating, processing, and extracting value from large datasets . Demonstrated strength in data modeling, SQL . Experienced in computer science fundamentals such as object-oriented design, data structures and algorithm design . Experience using R, Python, or other equivalent statistics and machine learning tools . Basics in software development- Java, Java Script, and SOM. . Proven results executing process improvements . Experience in Microsoft Office applications . Ability to travel both domestically and internationally. (up to 20%) . Ability to manage and work in a fast-paced, ambiguous environment . Ability to communicate effectively with multi-disciplinary teams. Preferred Qualifications: . Experience in statistical analysis tools (Minitab, SAS, SPSS, R, etc.) . Experience in structured analytical methodology (Statistical Hypothesis Testing, DMAIC, Six Sigma, etc.) . Experience in operational or manufacturing data sets and analytics . Proven Experience in Machine Learning with delivered results in an operations environment, hands-on experience working in data science and/or machine learning, data analytics/engineering using models and methods such as neural networks with cross-functional teams . Expertise in software development- Java, Java Script, and SOM Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazo
This is an opportunity to be a part of an initiative that will leverage a centralized data historian to analyze big data and enable strategic decision making to help shape the future of the Worldwide Fulfillment Network. The World Wide Business Transformation group combines the skills of top tier Technical PMs, Operations Engineers, and Program Managers to conduct statistical analysis, design machine learning models, and provide recommendations for incremental, emerging, and disruptive improvements initiatives across Operations. Our goal is to apply innovative data solutions to process improvement efforts across Amazon in areas such as artificial intelligence, data science, machine learning, computer vision, and other capacities to advance Amazon's performance. As a Business Intelligence Engineer, you will develop analytical solutions to business problems that utilize the highest standard of analytical rigor and data integrity. You use analytics to solve business problems. The analyses you perform will regularly require input and guidance from team members. You work towards team goals, using analytical best practices. You proactively and continually improve your level of knowledge about Amazon's business and relevant data resources. You use this knowledge to drive your team forward. You communicate professionally with your team and other teams in your division, knowing when to contribute and when to listen. Your work is accurate and thorough and you strive towards excellence. You will hold a highly critical role that requires interaction with leaders across Operations, Engineering, Amazon Robotics, Advanced Technology, and Amazon Fulfillment Technology. Some of the Problem that we need you help solving: . How do we standardize process management and reduce process/machine variation across Worldwide Operations? . Where should we be investing strategic resources? . How do we find predictive insights from masses of data to know where to focus operations improvements? You will have an opportunity to: . Coordinate directly with next generation project teams to establish measurement systems, machine learning models, design of experiments. . Publish findings, updates, and data driven recommendations from your team to Senior Leadership across Worldwide Operations. . Develop and maintain standard operating procedures for your team and their interactions across the organization. You should be able to: . You recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. . You write high quality code to retrieve and analyze data. . You analyze and solve business problems at their root, stepping back to understand the broader context. . You develop pragmatic analyses and choose applicable solutions that add value to your business area. . You understand data resources and know how, when, and which to use (and which not to use). . You recognize and use advanced analytical techniques to solve business problems. . You develop analyses (whether fully formed or exploratory) for the business' sake, not for analyses' sake. . You seek to understand the business objectives relevant to your area. . You align your work to those objectives and seek to deliver business value. Basic Qualifications: . Bachelor's Degree required, preferably in Statistics, Math, Finance, Engineering, Business or a related field or equivalent experience . Industry experience in data engineering, business intelligence, data science, machine learning or related field with a track record of manipulating, processing, and extracting value from large datasets . Demonstrated strength in data modeling, SQL . Experienced in computer science fundamentals such as object-oriented design, data structures and algorithm design . Experience using R, Python, or other equivalent statistics and machine learning tools . Basics in software development- Java, Java Script, and SOM. . Proven results executing process improvements . Experience in Microsoft Office applications . Ability to travel both domestically and internationally. (up to 20%) . Ability to manage and work in a fast-paced, ambiguous environment . Ability to communicate effectively with multi-disciplinary teams. Preferred Qualifications: . Experience in statistical analysis tools (Minitab, SAS, SPSS, R, etc.) . Experience in structured analytical methodology (Statistical Hypothesis Testing, DMAIC, Six Sigma, etc.) . Experience in operational or manufacturing data sets and analytics . Proven Experience in Machine Learning with delivered results in an operations environment, hands-on experience working in data science and/or machine learning, data analytics/engineering using models and methods such as neural networks with cross-functional teams . Expertise in software development- Java, Java Script, and SOM Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazo
Amazon.com
Seattle, Washington, United States
At Amazon.com we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon's Consumables team is looking for an analytical, driven, and creative leader to drive strategically important operational initiatives through business intelligence and leveraging the power of data science, statistical analysis, machine learning and other analytical methods. The Senior Data Scientist is an innovative, results driven professional that executes continuous improvement through data-driven actions. The individual must exercise strong judgment and autonomy in the identification and execution of strategic improvement plans built on cross-Retail and Operations partnerships. Though the primary focus area is US Consumables, this role will impact and inform how Amazon executes Consumables businesses on a global scale. Major responsibilities of this role include: Translate / Interpret . Complex and interrelated datasets describing customer behavior, messaging, content, product design and financial impact. . Intake business requirements to define the right specialty solution on whether data science, research science, or business intelligence work will be needed. Measure / Quantify / Expand . Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance. . Analyze historical data to identify trends and support decision making in areas like product discovery solutions, selection identification, and customer contacts. . Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters. . Provide requirements to develop analytic capabilities, platforms, and pipelines. . Apply statistical or machine learning knowledge to specific business problems and data. Explore / Enlighten . Formalize assumptions about how users are expected to behave, create statistical definition of the outlier, and develop methods to systematically identify these outliers. Work out why such examples are outliers and define if any actions needed. . Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes. . Make Decisions and Recommendations . Build decision-making models and propose solution for the business problem you defined . Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication. . Utilize code (Python/R/SQL) for data analyzing and modeling algorithms The individual should possess a track record of successful relationship management, strong business and analytical acumen, and experience working with technology and engineering teams. Great communication skills, ability to think big and influence cross Amazon teams and high ownership to deliver successful results will be essential. Basic Qualifications: . Master's Degree in Statistics, Applied Mathematics, Operation Research, Economics or a related quantitative field. . 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, Weka, SAS, Matlab) . Familiarity with various Data Science disciplines including descriptive analytics, optimization, probability, hypothesis testing, simulation & experimentation, regression, forecasting and machine learning. . Familiarity with various data visualization tools such as Tableau, Qlikview and QuickSight. . Able to guide the team to make the right scientific or technical trade-offs to meet long term/short-term business needs. Preferred Qualifications: . PhD Degree in Statistics, Applied Mathematics, Operations Research, Computer Science, Economics, or related field . 7+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, Weka, SAS, Matlab) . Experience articulating business questions and using quantitative techniques to arrive at a solution using available data . Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment . Depth and breadth in quantitative knowledge. Excellent quantitative modeling, statistical analysis skills and problem-solving skills. Sophisticated user of statistical tools. . Experience processing, filtering, and presenting large quantities (Millions to Billions of rows) of data . Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customer's organization . E
At Amazon.com we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon's Consumables team is looking for an analytical, driven, and creative leader to drive strategically important operational initiatives through business intelligence and leveraging the power of data science, statistical analysis, machine learning and other analytical methods. The Senior Data Scientist is an innovative, results driven professional that executes continuous improvement through data-driven actions. The individual must exercise strong judgment and autonomy in the identification and execution of strategic improvement plans built on cross-Retail and Operations partnerships. Though the primary focus area is US Consumables, this role will impact and inform how Amazon executes Consumables businesses on a global scale. Major responsibilities of this role include: Translate / Interpret . Complex and interrelated datasets describing customer behavior, messaging, content, product design and financial impact. . Intake business requirements to define the right specialty solution on whether data science, research science, or business intelligence work will be needed. Measure / Quantify / Expand . Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance. . Analyze historical data to identify trends and support decision making in areas like product discovery solutions, selection identification, and customer contacts. . Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters. . Provide requirements to develop analytic capabilities, platforms, and pipelines. . Apply statistical or machine learning knowledge to specific business problems and data. Explore / Enlighten . Formalize assumptions about how users are expected to behave, create statistical definition of the outlier, and develop methods to systematically identify these outliers. Work out why such examples are outliers and define if any actions needed. . Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes. . Make Decisions and Recommendations . Build decision-making models and propose solution for the business problem you defined . Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication. . Utilize code (Python/R/SQL) for data analyzing and modeling algorithms The individual should possess a track record of successful relationship management, strong business and analytical acumen, and experience working with technology and engineering teams. Great communication skills, ability to think big and influence cross Amazon teams and high ownership to deliver successful results will be essential. Basic Qualifications: . Master's Degree in Statistics, Applied Mathematics, Operation Research, Economics or a related quantitative field. . 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, Weka, SAS, Matlab) . Familiarity with various Data Science disciplines including descriptive analytics, optimization, probability, hypothesis testing, simulation & experimentation, regression, forecasting and machine learning. . Familiarity with various data visualization tools such as Tableau, Qlikview and QuickSight. . Able to guide the team to make the right scientific or technical trade-offs to meet long term/short-term business needs. Preferred Qualifications: . PhD Degree in Statistics, Applied Mathematics, Operations Research, Computer Science, Economics, or related field . 7+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, Weka, SAS, Matlab) . Experience articulating business questions and using quantitative techniques to arrive at a solution using available data . Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment . Depth and breadth in quantitative knowledge. Excellent quantitative modeling, statistical analysis skills and problem-solving skills. Sophisticated user of statistical tools. . Experience processing, filtering, and presenting large quantities (Millions to Billions of rows) of data . Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customer's organization . E
Amazon.com
Phoenix Area, Arizona, United States
MULTIPLE POSITIONS AVAILABLE Entity: Amazon.com Services LLC Title: Business Analyst II Worksite: Tempe, AZ Position Responsibilities: Support senior management by managing metrics reporting and performing data mining and big data analysis to provide strategic advice on business forecast models. Collect business use cases, research and evaluate opportunities to help Amazon leverage its data to support business functions through complicated mathematical modeling. Analyze forecast and metrics data. Automate reports for promotional and project launch campaigns. Utilize database technologies, including SQL, ETL, and Oracle to design, develop, and evaluate highly innovative business intelligence tools and automated reports for campaign targeting and optimization. Transform complicated business problems into mathematics modeling and provide data-driven solutions. Perform statistical analysis, including clustering, cross-session and panel data regression using R, SAS, STATA, and SPSS. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000 Basic Qualifications: Position Requirements: Bachelor's degree or foreign equivalent in Business Administration, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and three years of experience in the job offered or as a Business Analyst, Business Intelligence Engineer, Data Engineer, Data Analyst or a related occupation. Must have at least one year of experience in the following skill(s): using database technologies, including SQL, Redshift or ORACLE; processing large, multi-dimensional datasets from multiple sources including Tableau, OBIEE, Datanet or equivalent data extraction tool; performing statistical analysis and process optimization using python ; developing automated reporting using Quicksight; advanced MS Excel skills including but not limited to macros and VB; and setup automated reporting using DJS, python and Linux. Preferred Qualifications: Please see job description and position requirements above.
MULTIPLE POSITIONS AVAILABLE Entity: Amazon.com Services LLC Title: Business Analyst II Worksite: Tempe, AZ Position Responsibilities: Support senior management by managing metrics reporting and performing data mining and big data analysis to provide strategic advice on business forecast models. Collect business use cases, research and evaluate opportunities to help Amazon leverage its data to support business functions through complicated mathematical modeling. Analyze forecast and metrics data. Automate reports for promotional and project launch campaigns. Utilize database technologies, including SQL, ETL, and Oracle to design, develop, and evaluate highly innovative business intelligence tools and automated reports for campaign targeting and optimization. Transform complicated business problems into mathematics modeling and provide data-driven solutions. Perform statistical analysis, including clustering, cross-session and panel data regression using R, SAS, STATA, and SPSS. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000 Basic Qualifications: Position Requirements: Bachelor's degree or foreign equivalent in Business Administration, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and three years of experience in the job offered or as a Business Analyst, Business Intelligence Engineer, Data Engineer, Data Analyst or a related occupation. Must have at least one year of experience in the following skill(s): using database technologies, including SQL, Redshift or ORACLE; processing large, multi-dimensional datasets from multiple sources including Tableau, OBIEE, Datanet or equivalent data extraction tool; performing statistical analysis and process optimization using python ; developing automated reporting using Quicksight; advanced MS Excel skills including but not limited to macros and VB; and setup automated reporting using DJS, python and Linux. Preferred Qualifications: Please see job description and position requirements above.
