Managing Analysts

Job Title: Managing Analysts

Job Location: Various and unanticipated worksites throughout the U.S. (HQ: Chicago, IL)

Job Type: Full Time

Reference ID:

JOB DESCRIPTION:  

Managing Analysts for various and unanticipated worksites throughout the U.S. (HQ: Chicago, IL). Conduct statistical analysis, linear regression modeling, including new concept forecast modeling and data modeling. Use statistical and data mining techniques to analyze the usage of retail Point of Sale (POS) scanner data and consumer panel data to objectively partner with clients. Provide key statistical-based recommendations to client leadership teams and product management teams, including assessing variables and their impact on sales from a modeling perspective in order to forecast future impact and trends. Provide recommendations on strategy brand management and assess market variables. Perform complex statistical analysis and computing, including data extraction. Conduct advanced data analysis, such as data integration and concept testing, to develop strategic business insights. Enhance collaboration between manufacturers and retailers. Perform in-line reviews and joint business planning. Employ various statistical computing strategies. Advise and train clients on best practices. Make presentations to clients, senior audiences, C Suite executives. Technical environment: SAS (including category feasibility in SAS, and item and PPF selection in SAS); multivariate regression modeling; DecisionKey (DK); SQL; PuTTY, Linux; Agile; Unify+, Cognos BI, Tableau; t-tests, correlation analysis, F-tests, confidence level intervals, means, and margins of error.  

JOB REQUIREMENTS:   

Master’s degree in Statistics, Economics, Marketing Analytics or related field plus 2 years of experience as an analyst or with statistics required. Required skills: Experience in client facing role, and making presentations to senior audiences (including C Suite executives); experience with statistical, modeling, forecasting methodologies to advise clients of industry trends; providing statistical analysis & solutions to clients to improve business operations & marketing strategies; advising and training clients on best practices and maximizing use of statistical data; regression modeling; joint business planning to enhance collaboration between manufacturers and retailers; and with: Agile, SAS; Consumer Panel & POS data; Linux, SQL, Cognos BI, Tableau. Telecommuting permitted. $85,717/yr - $110,882/yr.

The below range reflects the range of possible compensation for this role at the time of this posting. This range may be modified in the future.  An employee’s position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. The salary range for this role is $85,717/yr - $110,882/yr

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