JOB SUMMARY AND MISSION 

This job contributes to Starbucks success by guiding business decisions through being able to interpret and visualize large scale data and outputs.  You will be able to synthesize information to be consumed by business partners at all levels.    There needs to be a focused attention on insights personalization that focuses on turning data into information.  

Models and acts in accordance with Starbucks guiding principles.

SUMMARY OF KEY RESPONSIBILITIES 

Responsibilities and essential job functions include but are not limited to the following: 

• Under guidance of Decision Scientist extract data from various databases; perform exploratory data analysis, cleanse, massage, and aggregate data 
• Apply basic statistical concepts and descriptive statistics to understand and describe relationships in data
• Under guidance of Decision Scientist build predictive models and complex descriptive analytics, clustering and market based analysis
• Participate in discussions with business partners to define business question
• Provide analytic support (code documentation, data transformations, algorithms, etc.) to IT to implement analytic insights and recommendations into business processes (e.g., feed of modeling scores into campaign manager)
• Contribute to analytic project proposals
• Evangelize value of analytics and data among peers
• New analysts in databases, tools, access, data prep techniques
• Exposure and business-applicable experience in several techniques
• Exposure and business-applicable experience in several tools
• Exposure and business-applicable experience in several languages

Summary of Experience

• Minimum 1 Year Experience within data analysis field or discipline

Required Knowledge, Skills and Abilities

• Ability to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activities
• Business-applicable experience in several techniques for data visualization skills, e.g. Tableau
• Ability to handle and maintain the confidentiality of highly sensitive information.
• Proficiency in a variety of coding languages (SQL, Python, R or similar)
• Working knowledge of basic statistics; experience with R, SAS or similar
• Retail, customer loyalty, and eCommerce experience, preferred

Starbucks is about more than just a coffee; they're dedicated to employee and community growth. Starbucks even runs a program that pays for their baristas tuition to help them finish their education. That’s why when you launch your career inspired by human connection and the opportunity to become your personal best, the possibilities are endless. SCAP - Starbucks College Achievement Program