Search 11 live SAS jobs

 Join 20,000+ SAS Experts

Finding your next SAS job got easier...

POST YOUR SAS JOBS *FREE* TODAY

Hiring SAS Professionals has become easier

through our complimentary Job-Posting service

Post a Free Job

Latest Jobs

Amazon.com Phoenix Area, Arizona, United States
Oct 11, 2021
Full-time
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.
Amazon.com Seattle, Washington, United States
Oct 11, 2021
Full-time
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 Seattle, Washington, United States
Oct 11, 2021
Full-time
Economists at Amazon are solving some of the most challenging applied economics questions in the tech sector. Amazon economists apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. Our economists build econometric models using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. A career at Amazon affords economists the opportunity to work with data of unparalleled quality, apply rigorous applied econometric approaches, and work with some of the most talented applied econometricians in the trade. Amazon's Consumer Analytics team is looking for Economists join our efforts to build the next generation of analytics systems at Amazon. You'll work closely with machine learning scientists, finance partners, and senior leaders to make data-driven, principled decisions about marketing and program investments. Economists should have proficiencies in one or more of the following areas: . Data management . Causal modeling (e.g., using regression, propensity matching) . Experimental design . Programming in one or more statistics-oriented languages (Stata, Python, R) . Prediction and forecasting . Structural model design and estimation Economists work on a mixture of large-scale system design and theoretical economic and statistical problems in a fast-paced environment where creativity, speed, and careful work matter. econjobs Amazon is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation Basic Qualifications: . PhD in Economics or related field . Two or more years of experience in a postdoctoral position; or, two or more years of experience in consulting, government or academic research . Hands on experience with at least one of the following: Matlab, R, SAS, Stata . Strong background in econometrics (e.g., program evaluation, forecasting, time series, panel data, and/or high dimensional problems), economic theory, and quantitative methods Preferred Qualifications: . Applicants with considerably more experience, including mid-career, are also strongly encouraged . Ability to work in a fast-paced business environment. . Strong research track record. . Effective verbal and written communications skills.
Amazon.com Boston/Cambridge Area, Massachusetts, United States
Oct 11, 2021
Contract
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)
View all jobs