5 Data Mining jobs

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you'll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers' experiences in ways we can't even image yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun. The Business Process Analyst will support Ops Robotics Supply Chain by scoping, developing and maintaining Tableau dashboards and performing ad-hoc data analysis to support cross-functional customers. They will create and execute SQL scripts to connect to, manipulate, and transform a multitude of data sources to support dashboards and statistical deep dive analysis. The Business Process Analyst will also collaborate with Legal to ensure supplier contracts are finalized on-time to support important technology development and provide insights into contract status to company to support business reviews. We're looking for a motivated self-starter who's passionate about managing operational processes, analyzing trends, and recommending and implementing process improvements. This is a unique role, with similar functions to a business operations analyst and a contract analyst. The successful candidate must be inquisitive, enthusiastic about technology, like being continually challenged, demonstrate sound judgment, and attention to detail. Basic Qualifications: . Bachelor's degree in Business, Engineering, Statistics, Computer Science, Mathematics, Supply Chain or related field or relevant experience . 1+ years of experience in a business analyst/data analyst/statistical analyst role . 3+ years of experience conducting analysis and data mining using Microsoft Excel or similar tools . 1+ years of experience in verbal and written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams Preferred Qualifications: . Knowledge of data mining and processing using SQL and at least one of SAS/R/Python . Understanding of data warehousing and data modeling . Familiarity with regression methods (e.g., linear, logistic, time series) . Experience with ERP (Oracle a plus)

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.

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

Have you ever thought about what it takes to deliver high quality customer service at optimal cost? What would you do to take one of the best customer service organizations in the world to the next level? Do you enjoy working in an entrepreneurial, fast paced environment, solving complex problems and delivering innovative solutions? Do you like to innovate and simplify? The Worldwide Capacity Planning (WWCP) organization owns the end-to-end workforce planning and execution of Amazon's customer service network. Our forecasting, labor planning, scheduling, and real-time management solutions are responsible for the millions of daily decisions needed to provide efficient and frustration-free support to our customers around the world. We are looking for an experienced professional with excellent analytical skills and strong business acumen to join our Forecasting team. As a Forecast Analyst in WWCP, you will be responsible for modeling forecasting problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining and visualization techniques. You will need to collaborate effectively with internal stakeholders and cross-functional teams to analyze forecast variances, understand and mitigate variance drivers, identify opportunities to improve operational efficiencies, and deliver successfully against high organizational standards. You should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, you should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business. Accurate forecasts drive improvements in cost and quality of our customer service on a global scale. This role requires a delicate balance in delivering models that are statistically grounded but also explainable operationally - business leaders must be able to understand what variables impact forecast variance and how they should respond tactically. This is a high visibility role with heavy interaction with senior leadership. Analytical ingenuity and leadership, coupled with demonstrated cross-functional partnership, are critical skills for this role. The ideal candidate has an accomplished professional background with demonstrated proficiency in advanced mathematics and/or statistics. They are comfortable creating strategic recommendations in a thoughtful yet concise manner, and obtaining organizational "buy-in" at senior levels. They are well-organized, can manage multiple analyses/projects simultaneously, and are intellectually curious. Basic Qualifications: . Bachelor's degree in Business, Mathematics, Operations Research, Engineering or a related field . 3+ years of experience as a business analyst or related positions . Experience with statistical analysis and modeling . Experience with SQL and one or more of the statistical modeling languages/ toolboxes (R, SAS, SPSS, Matlab, or Python) . Excellent communication skills to share findings in an understandable and actionable manner . Ability to work successfully in a dynamic, fast-paced environment Preferred Qualifications: . MBA or Master's degree in Mathematics, Statistics, Computer Science, Engineering or other business/analytical disciplines, with 5+ years of related work experience . Experience in forecasting, time-series, and multivariate regression . Combination of technical skills and business savvy to interface with all levels and disciplines across the organization . Proven track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment . Experience using AWS technologies such as Redshift, S3, etc. . Excellent interpersonal, written and oral communication skills . Natural curiosity and desire to learn 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 disa

Have you ever thought about what it takes to deliver high quality customer service at optimal cost? What would you do to take one of the best customer service organizations in the world to the next level? Do you enjoy working in an entrepreneurial, fast paced environment, solving complex problems and delivering innovative solutions? Do you like to innovate and simplify? The Worldwide Capacity Planning (WWCP) organization owns the end-to-end workforce planning and execution of Amazon's customer service network. Our forecasting, labor planning, scheduling, and real-time management solutions are responsible for the millions of daily decisions needed to provide efficient and frustration-free support to our customers around the world. We are looking for an experienced professional with excellent analytical skills and strong business acumen to join our Forecasting team. As a Senior Forecast Analyst in WWCP, you will be responsible for modeling forecasting problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining and visualization techniques. You will need to collaborate effectively with internal stakeholders and cross-functional teams to analyze forecast variances, understand and mitigate variance drivers, identify opportunities to improve operational efficiencies, and deliver successfully against high organizational standards. You should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, you should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business. Accurate forecasts drive improvements in cost and quality of our customer service on a global scale. This role requires a delicate balance in delivering models that are statistically grounded but also explainable operationally - business leaders must be able to understand what variables impact forecast variance and how they should respond tactically. This is a high visibility role with heavy interaction with senior leadership. Analytical ingenuity and leadership, coupled with demonstrated cross-functional partnership, are critical skills for this role. The ideal candidate has an accomplished professional background with demonstrated proficiency in advanced mathematics and/or statistics. They are comfortable creating strategic recommendations in a thoughtful yet concise manner, and obtaining organizational "buy-in" at senior levels. They are well-organized, can manage multiple analyses/projects simultaneously, and are intellectually curious. Basic Qualifications: . Bachelor's degree in Business, Mathematics, Operations Research, Engineering or a related field . 5+ years of experience as a business analyst or related positions . Experience with statistical analysis and modeling . Experience with SQL and one or more of the statistical modeling languages/ toolboxes (R, SAS, SPSS, Matlab, or Python) . Excellent communication skills to share findings in an understandable and actionable manner . Ability to work successfully in a dynamic, fast-paced environment Preferred Qualifications: . MBA or Master's degree in Mathematics, Statistics, Computer Science, Engineering or other business/analytical disciplines, with 7+ years of related work experience . Experience in forecasting, time-series, and multivariate regression . Combination of technical skills and business savvy to interface with all levels and disciplines across the organization . Proven track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment . Experience using AWS technologies such as Redshift, S3, etc. . Excellent interpersonal, written and oral communication skills . Natural curiosity and desire to learn 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 disa