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Samsung Sales Analyst

2 months ago


Mississauga, Canada Acosta Sales & Marketing Full time

Samsung Sales Analyst

Description and Requirements

As a Samsung Sales Analyst, you'll support management and clients by providing in-depth data analysis of strengths and weaknesses in the current execution of retail strategies. This position will serve as a point of influence for the client and effectively communicate performance measurements and the impact of initiatives.

What will you do?

  • Leverage existing systems and field data to provide regular analytics on the state of the business.
  • Provide analysis of environmental and competitive activity and recommend aggressive strategy tactics to stay viable and grow in the category space.
  • Present data to clients and all levels of management and gain buy-in based on the credibility of analytics.
  • Manage intelligence requests that come from a variety of sources, at varying times, with varying beginning and end dates.
  • Leverage deliverables from management, and information from trade publications, and industry sites and synthesizes them into actionable recommendations/information for management and/or clients.
  • Manage statical analysis of results to identify impact with verification through the use of internal and external sources.
  • Leverage analytics to develop solid Key Performance Indicator (KPI) strategies for field execution and/or account management.
  • Compile data into professional reports that support both findings and recommendations quantitatively and qualitatively. Clearly articulates compelling business insights and actions with data and context

Experience and Qualifications

  • Bachelor's Degree required. A Master's Degree is highly desirable.
  • Experience in retail operations, retail distribution, shopper insights, merchandising, sales, shopper marketing, and service organizations preferred.
  • Experience in the mobile communications industry is preferred but not required.
  • Excellence communication skills and strong presentation skills.
  • Microsoft Office Suite (Outlook, Word, Excel, PowerPoint) proficiency.
  • Exceptional skills in creative problem-solving, study, and reporting design, time management, self-confidence, data mining, analysis, accountability, practicality, client relations, communication, and presentation.
  • Must be proficient in computer software and internet browsing technologies.
  • Experience using Sisense, PowerBI (or other Business Intelligence tools) required.
  • Proficiency with SQL-based data query languages required.
  • Experience with scripting languages (Python) required.
  • Experience with statistical analysis software (SAS) and data mining software (SPSS) is not required but preferred.
  • Proven knowledge of the 'ebb and flow' of retail statistics and enhancing brand performance through analysis.
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