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Manager - Online Financial Ana...

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Manager - Online Financial Analysis


Sears Holdings Management Corporation provides corporate services to Sears Holdings Corporation (NASDAQ: SHLD) and its family of companies, including Sears Roebuck and Co. and Kmart Corporation.

The Manager of Financial Analysis works closely with management levels across the Online Business Unit organization, leveraging available internal and external data to generate analytic insights; develop, manage and evaluate test programs; support Marketing initiatives; Promotional Offers; Promotional Effectiveness; Marketing Channel Profitability; Fulfillment Channel Profitability and other analysis to enhance financial results through in depth financial analytics.




Qualifications


· Designs analytic test approaches with recommended sample sizes, and analyzes results from test initiatives


· Develops analytic tools to evaluate and manage sales of Online products


· Responsible for performing routine and complex financial analysis and modeling to support strategic decision making


· Performs research and data mining support related to merchandise projects and promotions


· Assembles data, reporting, and recommendations on ad hoc analyses requested by finance, merchandising, marketing, operations and senior management


· Analyzes behavioral, demographic, and other information to help identify opportunities for revenue growth, cost-reduction, and other components of profit optimization


· Manage projects to improve performance reporting, tracking and evaluation of Online activities.
Supports new products, services and channels for the Online Business Unit


· Comprehensive computing skills, with familiarity in current data mining tools, statistical techniques, and modeling tools


· Highly analytical, with excellent problem-solving skills and high intellectual capacity


· Excellent verbal and written communication skills


· Strong project management skills to ensure department work is well-planned and executed


· Ability to lead and influence behavior


· Knowledge of statistical analysis principles and techniques (i.e., t-test analysis, sample size analysis, and various forms of regression analysis)


· Knowledge of Data Warehousing principles


· Knowledge of Structured Query Language (SQL); Knowledge of statistical software, such as SAS or SPSS




EOE Minorities / Females / Protected Veterans / Disabled



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