Starbucks Data Analyst

Alshaya Saha

Shaya was founded in 2002 by the Kuwait-based Alshaya Group as an investment in the Turkish market. Today, the group represents a portfolio of world's best known international brands in Turkey, managing their retail franchise operations in segments including Fashion, Food, Health & Beauty. Shaya's franchise portfolio includes Bath and Body Works, Le Pain Quotidien, Pinkberry, Shake Shack, Starbucks, The Body Shop, Victoria's Secret and Victoria's Secret Beauty & Accessories in Turkey. Shaya, which operates with a corporate culture that rewards "Think Big," "Act Small," and "Be You", is currently looking for Data Analyst to join its Starbucks division.

• Responsible for the analysis of data to support the brand’s objectives in driving increased profitable sales,
• Support departments/team members help them understand what commercial decisions and process improvements can be made through data,
• Responsible for the analysis of sales and profit data to turn into business insight,
• Responsible for ensuring clean and accurate sales data,
• Analyze sales at market and store format level to identify tactical and strategic opportunities,
• Analyze seasonal campaigns during and post to manage stocks, identify sales opportunities,
• Work closely with different functions to gather information to increase business knowledge.

QUALIFICATIONS: 

• University degree from reputable universities,
• 2+ years’ experience with data analysis,
• Experience in FMCG data analytics, data management and assimilation,
• Experience in budget & planning management,
• Experience in MicroStrategy or similar visualization tool (PowerBI, QlikView etc.),
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, etc),
• Strong SQL or Excel skills with the ability to learn other analytic tools,
• Ability to interpret complex data streams and ability to apply to commercial campaign,
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy and apply commercially to multi brand campaign,
• Good technical understanding – an individual who can interpret complex data and interpret into easy to use and easy to understand sales data,
• Ability to work across various business functions to provide data and insights,
• Strong analytical skill set,
• Familiarity with presenting data to stakeholders who are not data savvy,
• Self-driven, problem-solving, high-level written and verbal communication, team-working skill,
• Fluency in English, both written and spoken.