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Senior SAS Demand Forecaster

Company: Pinnacle Solutions Inc
Location: Pasadena
Posted on: May 17, 2019

Job Description:

Pinnacle Solutions, Inc. is seeking a highly experienced Senior SAS Demand Forecaster as an addition to our elite SAS Consulting Team for one of our Clients - a large Retail Company, located in PASADENA, CA (or St. Louis, MO or Arlington, VA) for a 6-Month Contract, Full-time, Blended (20 Onsite/80 Remote), Start Date in May 2019. First 2 weeks onsite, then most of the development can be done remotely with onsite check points. NOTE! Candidate - please specify a desired HOURLY rate in application questions. Final Rate will be + Travel & Expenses. DESCRIPTION & RESPONSIBILITIES The consultant will assist the client in utilizing the SAS Demand Driven Planning and Optimization (DDPO) solution. They 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 ideal 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. The Client is looking for a Predictive Modeler/Statistician/Forecaster to join their team with the main focus of designing sophisticated methods of forecasting and analyzing retail top-line sales and initiative performance. They will play a critical role in improving their team?s planning, forecasting and validating models. The consultant should be able to convey complicated forecasting analyses in simple terms. They should be agile with data analytics and visualizations to provide intuitive, compelling insights to enable decision making. The consultant will assist in forecasting and demand planning and automate the model process on a schedule basis on a UNIX OS. QUALIFICATIONS ? ESSENTIAL ? Minimum of 5 years? prior experience in predictive modeling, forecasting, analytics, and data mining preferred. ? SAS Forecast Server/Forecast Server, SAS/ETS experience is preferred. ? Strong proficiency with data mining/visualization tools as SAS, including SAS Enterprise Miner, Enterprise Guide, Base SAS, Forecast Server/Forecast Studio, SAS/STAT and SAS/ETS. ? 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 SAS/SQL 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. MAJOR RESPONSIBILITIES / ACTIVITIES ? 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, A/B 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 and/or 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 SAS/SQL statements to store, retrieve, manipulate, integrate, validate, and summarize data. EDUCATION ? A minimum Master's degree in Statistics, Applied Mathematics, Operations Research, Computer Science, Engineering, Economics or a related field. DETAILS: LOCATION(S): PASADENA, CA (or St. Louis, MO or Arlington, VA) WORK TYPE: 6-Month Contract WORK MODEL: Full-time, M-F, 40 hours per week, Blended (20 onsite/80 Remote). Note! First 2 weeks onsite, then most of the development can be done remotely with onsite check points. Start Date in May 2019. Rate will be + Travel & Expenses. RATE: DOE Pinnacle Solutions is a trusted SAS Alliance & Resell Partner, Amazon Web Services Partner, and creator of The Backpack Solution, an all-in-one, unprecedented, and must-have specialized toolkit solving all our client?s data demands. To attract the most sought-after, elite SAS technology professionals, we specialize in flexible career models with above-market compensation. Our specialists serve as a member of our internal development team, or they may provide on-site consulting expertise for our key Client positions. Join our talented and elite SAS Consulting Team now by applying to this job posting or contact us via email at hr@thepinnaclesolutions.com and learn more about us at www.thepinnaclesolutions.com.

Keywords: Pinnacle Solutions Inc, Pasadena , Senior SAS Demand Forecaster, Other , Pasadena, California

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