Red Bull

Veröffentlicht : vor 4 Monaten

Vollzeit

Want to bridge Data Science and Commercial teams while driving impactful analytics projects?

Join our Global Commercial Insights Team as an International Commercial Insights Specialist at our Global HQ in Salzburg, Austria!

RESPONSIBILITIES

Areas that play to your strengths

All the responsibilities we'll trust you with:

• REPORTING & DATA QUALITY
  
  You'll run regular reporting regarding execution of analytical projects while guaranteeing that every analytical project is finished with post analysis and calculated uplift. You'll work closely with Sales Data Management, Data Science, and Regional and Key Markets to ensure data quality for the insights.
• ANALYTICAL PROJECT EXECUTION
  
  You'll lead analytics projects with country teams and On- and Off-Premise HQ Field Sales teams, acting as the main liaison with the Data Science department for all analytical initiatives. You'll follow up on implementation with the Field Sales teams and drive the Perfect Store 2.0 project to create a single, unified source of truth for Field Sales insights.
• EFFECTIVE COMMUNICATION
  
  You'll determine the right place, frequency, and method to communicate insights, strategies, and best practices from analytical projects to sales and leadership teams. This includes regularly sharing performance updates and presenting key strategic topics to management. You'll work closely with the Data Science team to enhance the current Analytic 2.0 program with rich Commercial Insights content, such as Retail Audit, Perfect Store, and Depletion data analysis.

EXPERIENCE

Your areas of knowledge and expertise

that matter most for this role:

• 2+ years of FMCG experience (beverages industry preferred)
• Bachelor's or Master's degree
• Fluent in English, with strong written and verbal communication skills
• Team player with a process-oriented mindset and knowledge of sales processes
• Experience in International Sales, Business Insights, and Data Science
• Strong project management skills
• Background in Econometric Modelling & Statistics
• Proficient in MS Excel, Access, PowerPoint; knowledge of SAP BI, Power BI, Tableau; SQL or R is a plus

• Travel 0-10%