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SAS Retail Forecaster- Statistician
Ref No.: 18-01313
Location: San Francisco, California
Position Type:Contract
Experience Level: 8 Years
Start Date / End Date: 07/19/2018 to 02/01/2019
SAS Retail Forecaster- Statistician

The consultant will perform data mining, predictive modeling, statistical analysis and forecasting to analyze and interpret customer behaviors, product performance and trends. The consultant must have SAS Forecast Server (Forecast Studio) experience and data comes from the SAS Merchandise Intelligence Planning application, so that would be secondary expertise would be preferred.

Client is looking for a Predictive Modeler/Statistician to join our 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.

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

QUALIFICATIONS – ESSENTIAL
  • A Master's degree or above in Statistics, Applied Mathematics, Operations Research, Computer Science, Data Science, Economics or a related field
  • Minimum of 8 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.
  • 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.
  • Good written and spoken communications skills in English and thought-leadership skills.

For more information please contact Casey Taylor at 800-709-4740 ext 240.

Since 1995, iTech Solutions Inc., has been providing IT Consulting and Direct Hire Services to the Insurance, Financial, Communications, Manufacturing  and Government sectors with local offices in Connecticut, Minnesota, Colorado,  Massachusetts, Tennessee, North Carolina, and New Jersey / Pennsylvania area. 

Our recruiting strategy is simple, if you want to find qualified IT professionals then use IT professionals to find them.   So at iTech Solutions,  our personnel are all career IT professionals with a wide range of IT experience.  We can honestly say our staff understands the technologies, the complexities of finding and selecting the appropriate personnel and the pressures of running successful IT projects.  


Employer will not sponsor applicants for any employment visas, at hiring or in the future, including but not limited to H-1B visas. Corp-to-Corp or subcontract personnel will not be considered for this position.