Company Name:
Premium Retail Services
Position Type:
Leverages existing systems and field data to provide regular analytics on the state of the business.
Supports management and client by providing in-depth data analysis of strengths/weaknesses in current execution of retail strategies.
Comprehensive and clear understanding of retail environments and consumer insights to utilize when recommending effective in-market strategies.
Provides analysis of environmental and competitive activity and recommends aggressive strategy tactics to stay viable and grow in the category space.
Serves as a point of influence for the client and effectively communicates performance measurements and impact of initiatives.
Presents data to clients and all levels of management and gains buy-in based on credibility of analytics.
Statistical analysis of results to identify impact with verification through use of internal and external sources.
Leverages analytics to develop solid Key Performance Indicator (KPI) strategies for field execution.
Leverages data available, identifies opportunities and potential and likely outcomes from putting recommendations into action.
Compiles data into professional reports that support both findings and recommendations quantitatively and qualitatively. Clearly articulates compelling business insights and actions with data and context.
Articulates and communicates comprehensive understanding of how change and effect affects the client, client competitors, and the industry.


Undergraduate degree with an emphasis in Business, Statistics, or Accounting desired.
Proven expert at linking data collected with overall channel strategy delivering sound recommendations.
Experience in retail operations, retail distribution, shopper insights, merchandising, sales, shopper marketing and service organizations preferred.
Excellent communication skills required.
Strong presentation skills exhibited with small or medium-sized groups.
Proven knowledge of the 'ebb and flow' of retail statistics and enhancing brand performance through analysis.
Microsoft Office Suite (Outlook, Word, Excel, PowerPoint) proficiency.
Experience with statistical analysis software (SAS) and data mining software (SPSS) a plus.
Read, interpret, and analyze documents such as procedure manuals, business intelligence reports, spreadsheets, and data bases.

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