Job Description

DESCRIPTION AND RESPONSIBILITIES The consultant will perform DATA MINING, PREDICTIVE MODELING AND STATISTICALANALYSIS to analyze and interpret customer behaviors, productperformance and trends. The consultant will assist in model developmentusing time series and regression forecasting. The consultant will use SASENTERPRISE GUIDE, SAS FORECASTING FOR DESKTOP, BASE SAS, SAS/ETS AND SAS/SATto develop the modeling and analytical processes. The consultant must haveexcellent communication skills and must be able to communicate about thetechniques developed and results of analysis both to executives and otheranalysts in the organization. QUALIFICATIONS – ESSENTIAL • Bachelor’s degree in Supply Chain Management, Operations Management,Mathematics, Computer Science, Artificial Intelligence, or relevant fields. • Minimum 4 years work-related experience in Supply Planning, Demand Planning,Business Analytics or related field. Minimum of 4 years’ prior experiencein

  predictive modeling, analytics, and data miningpreferred.

• Supply Chain certifications such as APICS, CPIM, lean, sixsigma certifications a plus. • Able to demonstrate knowledge of mathematics and statistics to solvemoderately complex problems. • DEEP KNOWLEDGE IN DEMAND PLANNING PROCESSES, TECHNIQUES AND METHODOLOGIESAS WELL AS NEW PRODUCT INTRODUCTION, MATERIAL REQUIREMENTS

  PLANNING, SUPPLY PLANNING AND THES&OP PROCESS.

• Proven ability to managemultiple projects at once. • Builds excellent relationships with key internal and external customers basedon trust and confidence • Strong mathematical/statistical abilities. • Proficiency using technology tools that enable demand planning and reporting. • Data gathering and quantitative and qualitative data analysis, includingbusiness process metrics and measures linking to business KPIs. • Evaluate scenarios in with end-to-end supply chain impact in mind.

PRIMARY RESPONSIBILITIES: • Responsible for monthly generation of the statistical baseline forecast forclient and the client developed forecasting tool using SAS\R programming. • Expertise in STATISTICAL MODELING TECHNIQUES such as linearregression, logistic regression, tree models, cluster analysis, principalcomponents, and feature 

  creation, validation coupled with programmingexperience with SAS. • Strong background in statistical concepts including regression analysis,factoring, clustering, decision trees, A/B testing and experimental design. • Ability to write SAS/SQL STATEMENTS to store, retrieve, manipulate,integrate, validate, and summarize data. • Influence and collaborate with key partners in marketing, sales (field sales,corporate sales managers and directors) and finance and address input gapsas       

  identified by forecast error, bias and volatilityreview and other means.

• Work with various cross-functional teams on projects suchas new product launches, line extensions, product discontinuations, promotionsand events. 

• Ensure that the demand forecast is shared/received in theformat, level of detail and timing required by all customers and supplychain partners, with 

  documented assumptions, to achieve the variousbusiness objectives. • Monitor forecast bias and error metrics for process improvementopportunities. • Manage statistical forecast exceptions by utilizing demand-planning exceptionreports to identify and fix potential issues. • Use and maintain demand-planning systems to create the best statisticalforecast possible using established processes. • Assess the impact of market changes or significant variances in the forecastand recommend appropriate revisions and tactics. • Analyze forecast model results and determine ways to improve statisticalforecast as needed. • Work closely with the corporate Business Analytics team to refine and improveforecast models. • Use statistical methodology and programming techniques to develop analyticaltools. • Make recommendations to enhance business processes and identify opportunitiesto improve operational efficiencies. • Work with affiliate teams to clean/correct demand history from prior month. • Good written and spoken communications skills in English andthought-leadership skills.