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Business Analytics Manager/Forecaster (SAS)
Ref No.: 18-01904
Location: Chicago, Illinois
Position Type:Full Time/Contract
Start Date: 03/02/2018
Role: Business Analytics Manager/Forecaster
Location: Chicago, IL (100% Onsite)
Duration: 5 Months W/ Opportunity To FTE
Client: SAS/Restaurant Chain
MUST BE WILLING TO NEGOTIATE BEING HIRED DIRECTLY BY THE CLIENT AT THE END OF CONTRACT ENGAGEMENT. The client expects you to be their employee after the 5-month temporary contract.
 
DESCRIPTION and RESPONSIBILITIES:
  • SAS is seeking a full-time SAS Data Scientist-Modeler/Statistician/Forecaster consultant to work with our client, a Restaurant chain client in Chicago, IL.
  • 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 Enterprise Miner experience and Forecast Server experience is preferred.
  • Client is looking for a Manager, Business Analytics to join our team with the main focus of designing sophisticated methods of forecasting and analyzing restaurant top-line sales and initiative performance. You will play a critical role in improving our team's planning and forecasting model. 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.
 
QUALIFICATIONS – ESSENTIAL:
  • A Bachelor's or Master's degree in Statistics, Applied Mathematics, Operations Research, Computer Science, Data Science, Economics or a related field
  • Minimum of 6 years' prior experience in predictive modeling, forecasting, analytics, and data mining preferred.
  • SAS Enterprise Miner and SAS Forecast Server experience is preferred
  • Strong proficiency with data mining/visualization tools as SAS, including SAS Enterprise Miner, Enterprise Guide, Base SAS, Forecast Server, SAS/STAT and SAS/ETS.
  • Experience designing and implementing new forecasting methodology and tools
  • 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
  • Significant experience in R, Python, or SAS; Familiarity with SAS Visual Analytics or Tableau and other data visualization software highly preferred; Experience in artificial intelligence and machine learning a plus
  • 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
  • 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.
  • 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.
 
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