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Sr. SAS Demand Forecaster

Company: ServeSolid, Inc
Location: Pasadena
Posted on: May 17, 2019

Job Description:

Due to the nature of the assignment - U.S. Citizens and Green Card Holder's and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time. Senior SAS Demand Forecaster Arlington, VA or St. Louis, MO or Pasadena, CA 6 months , 2080 (OnsiteRemote) First 2 weeks onsite, then most of the development can be done remotely with onsite check points Description Seeking a Senior SAS Demand Forecaster to work with our client, a Retail client in multiple possible locations. The consultant will assist the client in utilizing the SAS Demand Driven Planning and Optimization (DDPO) solution. The consultant will perform data mining, predictive modeling and statistical analysis to analyze and forecast customer behaviors, product performance and trends. The consultant must have SAS High Performance Forecasting (HPF) experience and Consumer Package Goods domain experience is preferred. The consultant will use SAS DDPO and SAS HPF to develop the analytical and demand forecasting processes. The consultant must have excellent communication skills and must be able to communicate about the techniques developed and results of analysis both to executives and other analysts in the organization. Client is looking for a Predictive ModelerStatisticianForecaster to join their team with the main focus of designing sophisticated methods of forecasting and analyzing retail top-line sales and initiative performance. You will play a critical role in improving our team s planning, forecasting and validating models. You should be able to convey complicated forecasting analyses in simple terms. You should be agile with data analytics and visualizations to provide intuitive, compelling insights to enable decision making. The consultant must have excellent communication skills and must be able to communicate about the techniques developed and results of analysis both to executives and other analysts in the organization. The consultant will assist in forecasting and demand planning and automate the model process on a schedule basis on a unix OS. Qualification A minimum Master's degree in Statistics, Applied Mathematics, Operations Research, Computer Science, Engineering, Economics or a related field Minimum of 5 years prior experience in predictive modeling, forecasting, analytics, and data mining preferred SAS Forecast ServerForecast Server, SASETS experience is preferred Strong proficiency with data miningvisualization tools as SAS, including SAS Enterprise Miner, Enterprise Guide, Base SAS, Forecast ServerForecast Studio, SASSTAT and SASETS. Experience in Response Modeling and Demand Forecasting is preferred Experience designing and implementing new forecasting methodology and tools Expertise in statistical modeling techniques such as linear regression, logistic regression, forecasting, cluster analysis, principal components, and feature creation, validation coupled with programming experience with SAS. Proficiency in econometric modeling and advanced forecasting methods (marketing analytics a plus) Ability to independently own and drive model development, balancing demands and deadlines, able to balance competing and changing priorities Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions Ability to articulate complex analyses in a simplified manner Prepare data mining data sets for modeling and forecasting Develop an understanding of the client s data environment and how that applies to developing predictive models that is, analyze and determine what data is available and necessary to create desired data mining model(s), to include reviewing available data sources and identifying appropriate variables (existing, or to be created) for the models. Develop SAS programs to access data from various sources (e.g., reading in data sources and producing datasets suitable for SAS analytics) this will most often include data preparation, analysis and predictive model development. Interpret statistical model results into business insights and presents findings to management. Provide on-going tracking and monitoring of performance of decision systems and statistical models. Ability to write SASSQL statements to store, retrieve, manipulate, integrate, validate, and summarize data. Be proficient in Base SAS programming (DATA step), SQL programming (i.e., use of SQL pass-through or PROC SQL), as well as the SAS Macro language for use in making code more efficient. Good written and spoken communications skills in English and thought-leadership skills. Responsibilities Designing sophisticated statistical methods of analyzing performance, using our Transaction Level Detail and Product Mix databases Designing tools to create sales forecasts and what-if scenarios to provide strategic guidance and insights during the planning process Owning the development and communication of the Plan and Projected forecast Incorporating causal factors such as media levels, pricing, macroeconomic indicators, weather, customer experience metrics, seasonality and trading day adjustments into forecasts and analyses to gain a deep understanding of our sales drivers Accounting for and communicating variances of Actuals vs Business Plan vs Projected View for executive reviews Interpreting and evaluating daily, weekly, and monthly analyses of business trends, including Key Performance Indicators to identify accuracy risks and opportunities Partnering with other business insights managers to develop the broader business story Designing, developing and implementing methods and strategies to continually improve analytics processes Must have experience automating (and scheduling) the complete model development process. Expertise in statistical modeling techniques such as linear regression, logistic regression, tree models, cluster analysis, principal components, and feature creation, validation coupled with programming experience with SAS. Strong background in statistical concepts including regression analysis, factoring, clustering, decision trees, AB testing and experimental design Lead or assist with activities related to SAS analytics project discovery, definition, design, development, implementation and follow-on maintenance analytical environment. Prepare data mining data sets for modeling. Develop an understanding of the client s data environment and how that applies to developing predictive models that is, analyze and determine what data is available and necessary to create desired data mining model(s), to include reviewing available data sources and identifying appropriate variables (existing, or to be created) for the models. Use SAS for data exploration, to include developing intuition about the data, the data structures, data types, data values, exploration of distributions, summary statistics andor histograms. Develop SAS programs to access data from various sources (e.g., reading in data sources and producing datasets suitable for SAS analytics) this will most often include data preparation, analysis and predictive model development. Perform data and statistical analysis, predictive modeling, and data mining using a mix of third-party and internal customer data to identify customer insights and behavioral characteristics. Collect and analyze data to identify market trends and potentials, competitive forces, penetration strategies, user biases, profitability analysis, pricing, and preferences of the marketplace. Interpret statistical model results into business insights and presents findings to management. Provide on-going tracking and monitoring of performance of decision systems and statistical models. Ability to write SASSQL statements to store, retrieve, manipulate, integrate, validate, and summarize data. Ranga Contact 703-650-5228 ranga(at)ServSolid(dot)com

Keywords: ServeSolid, Inc, Pasadena , Sr. SAS Demand Forecaster, Other , Pasadena, California

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